GxPlex

Observation series — EMA reflection paper on the use of artificial intelligence in the medicinal product lifecycle

← EMA AI reflection paper

148 observation(s) recorded. 148 carry an address; none is without one. 145 retained normalised text and hold a digest. 3 hold none: 3 where no response arrived; and none was hashed.

Each observation is addressed by this row’s identifier, the date it was observed, and its sequence within that date — the same key /api/v1/series.jsonl publishes as `sequence`, counted in the order the store recorded them.

This digest is a leaf of the integrity root, and the command that recomputes it is published at /verify.

Every addressed record below carries its own citation, naming the day, the URL that answered, the response as recorded, and the digest where one exists. Where none exists the citation says so and asserts no digest.

Address Date Outcome Method Normalised text SHA-256 of normalised text
2026-07-28·1
Cite this observation 
GxPlex observation record ema-ai-reflection 2026-07-28·1
Document:    EMA reflection paper on the use of artificial intelligence in the medicinal product lifecycle
Observed:    2026-07-28 (record 1 of that day)
Requested:   https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle
             (no answering URL was recorded for this observation)
Response:    HTTP 200, fetched direct, 65,698 bytes returned
Digest:      SHA-256 eb42a10342ad597462395f790b666b2c47c8b8ff10b10201ca66c02dba3195e9
             2,451 characters of normalised text.
             The digest is of the NORMALISED text, not of the bytes served:
             tags, scripts, navigation and volatile strings are removed before
             hashing, so hashing the source as served will not reproduce it.
             Normalisation is described at https://gxplex.com/methodology; the
             command that recomputes a digest is published at
             https://gxplex.com/verify.
Permalink:   https://gxplex.com/observations/ema-ai-reflection#obs-2026-07-28-1
Full record: https://gxplex.com/api/v1/series.jsonl
 HTTP 200 · 65,698 bytes returned direct 2,451 chars eb42a10342ad597462395f790b666b2c47c8b8ff10b10201ca66c02dba3195e9
2026-07-28·2
Cite this observation 
GxPlex observation record ema-ai-reflection 2026-07-28·2
Document:    EMA reflection paper on the use of artificial intelligence in the medicinal product lifecycle
Observed:    2026-07-28 (record 2 of that day)
Requested:   https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle
             (no answering URL was recorded for this observation)
Response:    HTTP 200, fetched direct, 65,698 bytes returned
Digest:      SHA-256 eb42a10342ad597462395f790b666b2c47c8b8ff10b10201ca66c02dba3195e9
             2,451 characters of normalised text.
             The digest is of the NORMALISED text, not of the bytes served:
             tags, scripts, navigation and volatile strings are removed before
             hashing, so hashing the source as served will not reproduce it.
             Normalisation is described at https://gxplex.com/methodology; the
             command that recomputes a digest is published at
             https://gxplex.com/verify.
Capture:     https://web.archive.org/web/20260728212517/https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle-scientific-guideline
             (Internet Archive, submitted 2026-07-28 — the day this
             observation was recorded, UTC.)
Permalink:   https://gxplex.com/observations/ema-ai-reflection#obs-2026-07-28-2
Full record: https://gxplex.com/api/v1/series.jsonl
 HTTP 200 · 65,698 bytes returned direct 2,451 chars eb42a10342ad597462395f790b666b2c47c8b8ff10b10201ca66c02dba3195e9
2026-07-28·3
Cite this observation 
GxPlex observation record ema-ai-reflection 2026-07-28·3
Document:    EMA reflection paper on the use of artificial intelligence in the medicinal product lifecycle
Observed:    2026-07-28 (record 3 of that day)
Requested:   https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle
             (no answering URL was recorded for this observation)
Response:    HTTP 200, fetched direct, 65,698 bytes returned
Digest:      SHA-256 eb42a10342ad597462395f790b666b2c47c8b8ff10b10201ca66c02dba3195e9
             2,451 characters of normalised text.
             The digest is of the NORMALISED text, not of the bytes served:
             tags, scripts, navigation and volatile strings are removed before
             hashing, so hashing the source as served will not reproduce it.
             Normalisation is described at https://gxplex.com/methodology; the
             command that recomputes a digest is published at
             https://gxplex.com/verify.
Capture:     https://web.archive.org/web/20260728212517/https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle-scientific-guideline
             (Internet Archive, submitted 2026-07-28 — the day this
             observation was recorded, UTC.)
Permalink:   https://gxplex.com/observations/ema-ai-reflection#obs-2026-07-28-3
Full record: https://gxplex.com/api/v1/series.jsonl
 HTTP 200 · 65,698 bytes returned direct 2,451 chars eb42a10342ad597462395f790b666b2c47c8b8ff10b10201ca66c02dba3195e9
2026-07-28·4
Cite this observation 
GxPlex observation record ema-ai-reflection 2026-07-28·4
Document:    EMA reflection paper on the use of artificial intelligence in the medicinal product lifecycle
Observed:    2026-07-28 (record 4 of that day)
Requested:   https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle
             (no answering URL was recorded for this observation)
Response:    HTTP 200, fetched direct, 65,698 bytes returned
Digest:      SHA-256 eb42a10342ad597462395f790b666b2c47c8b8ff10b10201ca66c02dba3195e9
             2,451 characters of normalised text.
             The digest is of the NORMALISED text, not of the bytes served:
             tags, scripts, navigation and volatile strings are removed before
             hashing, so hashing the source as served will not reproduce it.
             Normalisation is described at https://gxplex.com/methodology; the
             command that recomputes a digest is published at
             https://gxplex.com/verify.
Capture:     https://web.archive.org/web/20260728212517/https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle-scientific-guideline
             (Internet Archive, submitted 2026-07-28 — the day this
             observation was recorded, UTC.)
Permalink:   https://gxplex.com/observations/ema-ai-reflection#obs-2026-07-28-4
Full record: https://gxplex.com/api/v1/series.jsonl
 HTTP 200 · 65,698 bytes returned direct 2,451 chars eb42a10342ad597462395f790b666b2c47c8b8ff10b10201ca66c02dba3195e9
2026-07-29·1
Cite this observation 
GxPlex observation record ema-ai-reflection 2026-07-29·1
Document:    EMA reflection paper on the use of artificial intelligence in the medicinal product lifecycle
Observed:    2026-07-29 (record 1 of that day)
Requested:   https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle
             (no answering URL was recorded for this observation)
Response:    HTTP 200, fetched direct, 64,863 bytes returned
Digest:      SHA-256 863f5ab39635ca89bc0ae1c49ddd75740616ef2970e9651d56e69fca0634ce01
             1,932 characters of normalised text.
             The digest is of the NORMALISED text, not of the bytes served:
             tags, scripts, navigation and volatile strings are removed before
             hashing, so hashing the source as served will not reproduce it.
             Normalisation is described at https://gxplex.com/methodology; the
             command that recomputes a digest is published at
             https://gxplex.com/verify.
Capture:     https://web.archive.org/web/20260728212517/https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle-scientific-guideline
             (Internet Archive, submitted 2026-07-28, before this observation
             was recorded on 2026-07-29 UTC. NOT a capture of this
             observation.)
Permalink:   https://gxplex.com/observations/ema-ai-reflection#obs-2026-07-29-1
Full record: https://gxplex.com/api/v1/series.jsonl
 HTTP 200 · 64,863 bytes returned · content changed direct 1,932 chars 863f5ab39635ca89bc0ae1c49ddd75740616ef2970e9651d56e69fca0634ce01
2026-07-29·2
Cite this observation 
GxPlex observation record ema-ai-reflection 2026-07-29·2
Document:    EMA reflection paper on the use of artificial intelligence in the medicinal product lifecycle
Observed:    2026-07-29 (record 2 of that day)
Requested:   https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle
             (no answering URL was recorded for this observation)
Response:    HTTP 200, fetched direct, 64,863 bytes returned
Digest:      SHA-256 863f5ab39635ca89bc0ae1c49ddd75740616ef2970e9651d56e69fca0634ce01
             1,932 characters of normalised text.
             The digest is of the NORMALISED text, not of the bytes served:
             tags, scripts, navigation and volatile strings are removed before
             hashing, so hashing the source as served will not reproduce it.
             Normalisation is described at https://gxplex.com/methodology; the
             command that recomputes a digest is published at
             https://gxplex.com/verify.
Capture:     https://web.archive.org/web/20260728212517/https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle-scientific-guideline
             (Internet Archive, submitted 2026-07-28, before this observation
             was recorded on 2026-07-29 UTC. NOT a capture of this
             observation.)
Permalink:   https://gxplex.com/observations/ema-ai-reflection#obs-2026-07-29-2
Full record: https://gxplex.com/api/v1/series.jsonl
 HTTP 200 · 64,863 bytes returned · content changed direct 1,932 chars 863f5ab39635ca89bc0ae1c49ddd75740616ef2970e9651d56e69fca0634ce01
2026-07-29·3
Cite this observation 
GxPlex observation record ema-ai-reflection 2026-07-29·3
Document:    EMA reflection paper on the use of artificial intelligence in the medicinal product lifecycle
Observed:    2026-07-29 (record 3 of that day)
Requested:   https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle
             (no answering URL was recorded for this observation)
Response:    HTTP 200, fetched direct, 65,698 bytes returned
Digest:      SHA-256 eb42a10342ad597462395f790b666b2c47c8b8ff10b10201ca66c02dba3195e9
             2,451 characters of normalised text.
             The digest is of the NORMALISED text, not of the bytes served:
             tags, scripts, navigation and volatile strings are removed before
             hashing, so hashing the source as served will not reproduce it.
             Normalisation is described at https://gxplex.com/methodology; the
             command that recomputes a digest is published at
             https://gxplex.com/verify.
Capture:     https://web.archive.org/web/20260729111457/https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle-scientific-guideline
             (Internet Archive, submitted 2026-07-29 — the day this
             observation was recorded, UTC.)
Permalink:   https://gxplex.com/observations/ema-ai-reflection#obs-2026-07-29-3
Full record: https://gxplex.com/api/v1/series.jsonl
 HTTP 200 · 65,698 bytes returned · content changed direct 2,451 chars eb42a10342ad597462395f790b666b2c47c8b8ff10b10201ca66c02dba3195e9
2026-07-29·4
Cite this observation 
GxPlex observation record ema-ai-reflection 2026-07-29·4
Document:    EMA reflection paper on the use of artificial intelligence in the medicinal product lifecycle
Observed:    2026-07-29 (record 4 of that day)
Requested:   https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle
             (no answering URL was recorded for this observation)
Response:    HTTP 200, fetched direct, 65,698 bytes returned
Digest:      SHA-256 eb42a10342ad597462395f790b666b2c47c8b8ff10b10201ca66c02dba3195e9
             2,451 characters of normalised text.
             The digest is of the NORMALISED text, not of the bytes served:
             tags, scripts, navigation and volatile strings are removed before
             hashing, so hashing the source as served will not reproduce it.
             Normalisation is described at https://gxplex.com/methodology; the
             command that recomputes a digest is published at
             https://gxplex.com/verify.
Capture:     https://web.archive.org/web/20260729111457/https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle-scientific-guideline
             (Internet Archive, submitted 2026-07-29 — the day this
             observation was recorded, UTC.)
Permalink:   https://gxplex.com/observations/ema-ai-reflection#obs-2026-07-29-4
Full record: https://gxplex.com/api/v1/series.jsonl
 HTTP 200 · 65,698 bytes returned direct 2,451 chars eb42a10342ad597462395f790b666b2c47c8b8ff10b10201ca66c02dba3195e9
2026-07-29·5
Cite this observation 
GxPlex observation record ema-ai-reflection 2026-07-29·5
Document:    EMA reflection paper on the use of artificial intelligence in the medicinal product lifecycle
Observed:    2026-07-29 (record 5 of that day)
Requested:   https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle
             (no answering URL was recorded for this observation)
Response:    HTTP 200, fetched direct, 65,698 bytes returned
Digest:      SHA-256 eb42a10342ad597462395f790b666b2c47c8b8ff10b10201ca66c02dba3195e9
             2,451 characters of normalised text.
             The digest is of the NORMALISED text, not of the bytes served:
             tags, scripts, navigation and volatile strings are removed before
             hashing, so hashing the source as served will not reproduce it.
             Normalisation is described at https://gxplex.com/methodology; the
             command that recomputes a digest is published at
             https://gxplex.com/verify.
Capture:     https://web.archive.org/web/20260729111457/https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle-scientific-guideline
             (Internet Archive, submitted 2026-07-29 — the day this
             observation was recorded, UTC.)
Permalink:   https://gxplex.com/observations/ema-ai-reflection#obs-2026-07-29-5
Full record: https://gxplex.com/api/v1/series.jsonl
 HTTP 200 · 65,698 bytes returned direct 2,451 chars eb42a10342ad597462395f790b666b2c47c8b8ff10b10201ca66c02dba3195e9
2026-07-29·6
Cite this observation 
GxPlex observation record ema-ai-reflection 2026-07-29·6
Document:    EMA reflection paper on the use of artificial intelligence in the medicinal product lifecycle
Observed:    2026-07-29 (record 6 of that day)
Requested:   https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle
             (no answering URL was recorded for this observation)
Response:    HTTP 200, fetched direct, 65,698 bytes returned
Digest:      SHA-256 eb42a10342ad597462395f790b666b2c47c8b8ff10b10201ca66c02dba3195e9
             2,451 characters of normalised text.
             The digest is of the NORMALISED text, not of the bytes served:
             tags, scripts, navigation and volatile strings are removed before
             hashing, so hashing the source as served will not reproduce it.
             Normalisation is described at https://gxplex.com/methodology; the
             command that recomputes a digest is published at
             https://gxplex.com/verify.
Capture:     https://web.archive.org/web/20260729111457/https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle-scientific-guideline
             (Internet Archive, submitted 2026-07-29 — the day this
             observation was recorded, UTC.)
Permalink:   https://gxplex.com/observations/ema-ai-reflection#obs-2026-07-29-6
Full record: https://gxplex.com/api/v1/series.jsonl
 HTTP 200 · 65,698 bytes returned direct 2,451 chars eb42a10342ad597462395f790b666b2c47c8b8ff10b10201ca66c02dba3195e9
2026-07-29·7
Cite this observation 
GxPlex observation record ema-ai-reflection 2026-07-29·7
Document:    EMA reflection paper on the use of artificial intelligence in the medicinal product lifecycle
Observed:    2026-07-29 (record 7 of that day)
Requested:   https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle
             (no answering URL was recorded for this observation)
Response:    HTTP 200, fetched direct, 65,698 bytes returned
Digest:      SHA-256 eb42a10342ad597462395f790b666b2c47c8b8ff10b10201ca66c02dba3195e9
             2,451 characters of normalised text.
             The digest is of the NORMALISED text, not of the bytes served:
             tags, scripts, navigation and volatile strings are removed before
             hashing, so hashing the source as served will not reproduce it.
             Normalisation is described at https://gxplex.com/methodology; the
             command that recomputes a digest is published at
             https://gxplex.com/verify.
Capture:     https://web.archive.org/web/20260729111457/https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle-scientific-guideline
             (Internet Archive, submitted 2026-07-29 — the day this
             observation was recorded, UTC.)
Permalink:   https://gxplex.com/observations/ema-ai-reflection#obs-2026-07-29-7
Full record: https://gxplex.com/api/v1/series.jsonl
 HTTP 200 · 65,698 bytes returned direct 2,451 chars eb42a10342ad597462395f790b666b2c47c8b8ff10b10201ca66c02dba3195e9
2026-07-29·8
Cite this observation 
GxPlex observation record ema-ai-reflection 2026-07-29·8
Document:    EMA reflection paper on the use of artificial intelligence in the medicinal product lifecycle
Observed:    2026-07-29 (record 8 of that day)
Requested:   https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle
             (no answering URL was recorded for this observation)
Response:    HTTP 200, fetched direct, 65,698 bytes returned
Digest:      SHA-256 eb42a10342ad597462395f790b666b2c47c8b8ff10b10201ca66c02dba3195e9
             2,451 characters of normalised text.
             The digest is of the NORMALISED text, not of the bytes served:
             tags, scripts, navigation and volatile strings are removed before
             hashing, so hashing the source as served will not reproduce it.
             Normalisation is described at https://gxplex.com/methodology; the
             command that recomputes a digest is published at
             https://gxplex.com/verify.
Capture:     https://web.archive.org/web/20260729111457/https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle-scientific-guideline
             (Internet Archive, submitted 2026-07-29 — the day this
             observation was recorded, UTC.)
Permalink:   https://gxplex.com/observations/ema-ai-reflection#obs-2026-07-29-8
Full record: https://gxplex.com/api/v1/series.jsonl
 HTTP 200 · 65,698 bytes returned direct 2,451 chars eb42a10342ad597462395f790b666b2c47c8b8ff10b10201ca66c02dba3195e9
2026-07-29·9
Cite this observation 
GxPlex observation record ema-ai-reflection 2026-07-29·9
Document:    EMA reflection paper on the use of artificial intelligence in the medicinal product lifecycle
Observed:    2026-07-29 (record 9 of that day)
Requested:   https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle
             (no answering URL was recorded for this observation)
Response:    HTTP 200, fetched direct, 65,698 bytes returned
Digest:      SHA-256 eb42a10342ad597462395f790b666b2c47c8b8ff10b10201ca66c02dba3195e9
             2,451 characters of normalised text.
             The digest is of the NORMALISED text, not of the bytes served:
             tags, scripts, navigation and volatile strings are removed before
             hashing, so hashing the source as served will not reproduce it.
             Normalisation is described at https://gxplex.com/methodology; the
             command that recomputes a digest is published at
             https://gxplex.com/verify.
Capture:     https://web.archive.org/web/20260729111457/https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle-scientific-guideline
             (Internet Archive, submitted 2026-07-29 — the day this
             observation was recorded, UTC.)
Permalink:   https://gxplex.com/observations/ema-ai-reflection#obs-2026-07-29-9
Full record: https://gxplex.com/api/v1/series.jsonl
 HTTP 200 · 65,698 bytes returned direct 2,451 chars eb42a10342ad597462395f790b666b2c47c8b8ff10b10201ca66c02dba3195e9
2026-07-29·10
Cite this observation 
GxPlex observation record ema-ai-reflection 2026-07-29·10
Document:    EMA reflection paper on the use of artificial intelligence in the medicinal product lifecycle
Observed:    2026-07-29 (record 10 of that day)
Requested:   https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle
             (no answering URL was recorded for this observation)
Response:    HTTP 200, fetched direct, 65,698 bytes returned
Digest:      SHA-256 eb42a10342ad597462395f790b666b2c47c8b8ff10b10201ca66c02dba3195e9
             2,451 characters of normalised text.
             The digest is of the NORMALISED text, not of the bytes served:
             tags, scripts, navigation and volatile strings are removed before
             hashing, so hashing the source as served will not reproduce it.
             Normalisation is described at https://gxplex.com/methodology; the
             command that recomputes a digest is published at
             https://gxplex.com/verify.
Capture:     https://web.archive.org/web/20260729111457/https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle-scientific-guideline
             (Internet Archive, submitted 2026-07-29 — the day this
             observation was recorded, UTC.)
Permalink:   https://gxplex.com/observations/ema-ai-reflection#obs-2026-07-29-10
Full record: https://gxplex.com/api/v1/series.jsonl
 HTTP 200 · 65,698 bytes returned direct 2,451 chars eb42a10342ad597462395f790b666b2c47c8b8ff10b10201ca66c02dba3195e9
2026-07-29·11
Cite this observation 
GxPlex observation record ema-ai-reflection 2026-07-29·11
Document:    EMA reflection paper on the use of artificial intelligence in the medicinal product lifecycle
Observed:    2026-07-29 (record 11 of that day)
Requested:   https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle
             (no answering URL was recorded for this observation)
Response:    HTTP 200, fetched direct, 65,698 bytes returned
Digest:      SHA-256 eb42a10342ad597462395f790b666b2c47c8b8ff10b10201ca66c02dba3195e9
             2,451 characters of normalised text.
             The digest is of the NORMALISED text, not of the bytes served:
             tags, scripts, navigation and volatile strings are removed before
             hashing, so hashing the source as served will not reproduce it.
             Normalisation is described at https://gxplex.com/methodology; the
             command that recomputes a digest is published at
             https://gxplex.com/verify.
Capture:     https://web.archive.org/web/20260729111457/https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle-scientific-guideline
             (Internet Archive, submitted 2026-07-29 — the day this
             observation was recorded, UTC.)
Permalink:   https://gxplex.com/observations/ema-ai-reflection#obs-2026-07-29-11
Full record: https://gxplex.com/api/v1/series.jsonl
 HTTP 200 · 65,698 bytes returned direct 2,451 chars eb42a10342ad597462395f790b666b2c47c8b8ff10b10201ca66c02dba3195e9
2026-07-29·12
Cite this observation 
GxPlex observation record ema-ai-reflection 2026-07-29·12
Document:    EMA reflection paper on the use of artificial intelligence in the medicinal product lifecycle
Observed:    2026-07-29 (record 12 of that day)
Requested:   https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle
             (no answering URL was recorded for this observation)
Response:    HTTP 200, fetched direct, 65,697 bytes returned
Digest:      SHA-256 eb42a10342ad597462395f790b666b2c47c8b8ff10b10201ca66c02dba3195e9
             2,451 characters of normalised text.
             The digest is of the NORMALISED text, not of the bytes served:
             tags, scripts, navigation and volatile strings are removed before
             hashing, so hashing the source as served will not reproduce it.
             Normalisation is described at https://gxplex.com/methodology; the
             command that recomputes a digest is published at
             https://gxplex.com/verify.
Capture:     https://web.archive.org/web/20260729111457/https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle-scientific-guideline
             (Internet Archive, submitted 2026-07-29, before this observation
             was recorded on 2026-07-30 UTC. NOT a capture of this
             observation.)
Permalink:   https://gxplex.com/observations/ema-ai-reflection#obs-2026-07-29-12
Full record: https://gxplex.com/api/v1/series.jsonl
 HTTP 200 · 65,697 bytes returned direct 2,451 chars eb42a10342ad597462395f790b666b2c47c8b8ff10b10201ca66c02dba3195e9
2026-07-29·13
Cite this observation 
GxPlex observation record ema-ai-reflection 2026-07-29·13
Document:    EMA reflection paper on the use of artificial intelligence in the medicinal product lifecycle
Observed:    2026-07-29 (record 13 of that day)
Requested:   https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle
             (no answering URL was recorded for this observation)
Response:    HTTP 200, fetched direct, 65,697 bytes returned
Digest:      SHA-256 eb42a10342ad597462395f790b666b2c47c8b8ff10b10201ca66c02dba3195e9
             2,451 characters of normalised text.
             The digest is of the NORMALISED text, not of the bytes served:
             tags, scripts, navigation and volatile strings are removed before
             hashing, so hashing the source as served will not reproduce it.
             Normalisation is described at https://gxplex.com/methodology; the
             command that recomputes a digest is published at
             https://gxplex.com/verify.
Capture:     https://web.archive.org/web/20260729111457/https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle-scientific-guideline
             (Internet Archive, submitted 2026-07-29, before this observation
             was recorded on 2026-07-30 UTC. NOT a capture of this
             observation.)
Permalink:   https://gxplex.com/observations/ema-ai-reflection#obs-2026-07-29-13
Full record: https://gxplex.com/api/v1/series.jsonl
 HTTP 200 · 65,697 bytes returned direct 2,451 chars eb42a10342ad597462395f790b666b2c47c8b8ff10b10201ca66c02dba3195e9
2026-07-29·14
Cite this observation 
GxPlex observation record ema-ai-reflection 2026-07-29·14
Document:    EMA reflection paper on the use of artificial intelligence in the medicinal product lifecycle
Observed:    2026-07-29 (record 14 of that day)
Requested:   https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle
             (no answering URL was recorded for this observation)
Response:    HTTP 200, fetched direct, 65,697 bytes returned
Digest:      SHA-256 eb42a10342ad597462395f790b666b2c47c8b8ff10b10201ca66c02dba3195e9
             2,451 characters of normalised text.
             The digest is of the NORMALISED text, not of the bytes served:
             tags, scripts, navigation and volatile strings are removed before
             hashing, so hashing the source as served will not reproduce it.
             Normalisation is described at https://gxplex.com/methodology; the
             command that recomputes a digest is published at
             https://gxplex.com/verify.
Capture:     https://web.archive.org/web/20260729111457/https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle-scientific-guideline
             (Internet Archive, submitted 2026-07-29, before this observation
             was recorded on 2026-07-30 UTC. NOT a capture of this
             observation.)
Permalink:   https://gxplex.com/observations/ema-ai-reflection#obs-2026-07-29-14
Full record: https://gxplex.com/api/v1/series.jsonl
 HTTP 200 · 65,697 bytes returned direct 2,451 chars eb42a10342ad597462395f790b666b2c47c8b8ff10b10201ca66c02dba3195e9
2026-07-30·1
Cite this observation 
GxPlex observation record ema-ai-reflection 2026-07-30·1
Document:    EMA reflection paper on the use of artificial intelligence in the medicinal product lifecycle
Observed:    2026-07-30 (record 1 of that day)
Requested:   https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle
             (no answering URL was recorded for this observation)
Response:    HTTP 200, fetched direct, 65,698 bytes returned
Digest:      SHA-256 eb42a10342ad597462395f790b666b2c47c8b8ff10b10201ca66c02dba3195e9
             2,451 characters of normalised text.
             The digest is of the NORMALISED text, not of the bytes served:
             tags, scripts, navigation and volatile strings are removed before
             hashing, so hashing the source as served will not reproduce it.
             Normalisation is described at https://gxplex.com/methodology; the
             command that recomputes a digest is published at
             https://gxplex.com/verify.
Capture:     https://web.archive.org/web/20260729111457/https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle-scientific-guideline
             (Internet Archive, submitted 2026-07-29, before this observation
             was recorded on 2026-07-30 UTC. NOT a capture of this
             observation.)
Permalink:   https://gxplex.com/observations/ema-ai-reflection#obs-2026-07-30-1
Full record: https://gxplex.com/api/v1/series.jsonl
 HTTP 200 · 65,698 bytes returned direct 2,451 chars eb42a10342ad597462395f790b666b2c47c8b8ff10b10201ca66c02dba3195e9
2026-07-30·2
Cite this observation 
GxPlex observation record ema-ai-reflection 2026-07-30·2
Document:    EMA reflection paper on the use of artificial intelligence in the medicinal product lifecycle
Observed:    2026-07-30 (record 2 of that day)
Requested:   https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle
             (no answering URL was recorded for this observation)
Response:    HTTP 200, fetched direct, 64,861 bytes returned
Digest:      SHA-256 863f5ab39635ca89bc0ae1c49ddd75740616ef2970e9651d56e69fca0634ce01
             1,932 characters of normalised text.
             The digest is of the NORMALISED text, not of the bytes served:
             tags, scripts, navigation and volatile strings are removed before
             hashing, so hashing the source as served will not reproduce it.
             Normalisation is described at https://gxplex.com/methodology; the
             command that recomputes a digest is published at
             https://gxplex.com/verify.
Capture:     https://web.archive.org/web/20260730152003/https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle-scientific-guideline
             (Internet Archive, submitted 2026-07-30 — the day this
             observation was recorded, UTC.)
Permalink:   https://gxplex.com/observations/ema-ai-reflection#obs-2026-07-30-2
Full record: https://gxplex.com/api/v1/series.jsonl
 HTTP 200 · 64,861 bytes returned · content changed direct 1,932 chars 863f5ab39635ca89bc0ae1c49ddd75740616ef2970e9651d56e69fca0634ce01
2026-07-30·3
Cite this observation 
GxPlex observation record ema-ai-reflection 2026-07-30·3
Document:    EMA reflection paper on the use of artificial intelligence in the medicinal product lifecycle
Observed:    2026-07-30 (record 3 of that day)
Requested:   https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle
             (no answering URL was recorded for this observation)
Response:    HTTP 200, fetched direct, 65,696 bytes returned
Digest:      SHA-256 eb42a10342ad597462395f790b666b2c47c8b8ff10b10201ca66c02dba3195e9
             2,451 characters of normalised text.
             The digest is of the NORMALISED text, not of the bytes served:
             tags, scripts, navigation and volatile strings are removed before
             hashing, so hashing the source as served will not reproduce it.
             Normalisation is described at https://gxplex.com/methodology; the
             command that recomputes a digest is published at
             https://gxplex.com/verify.
Capture:     https://web.archive.org/web/20260730152003/https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle-scientific-guideline
             (Internet Archive, submitted 2026-07-30 — the day this
             observation was recorded, UTC.)
Permalink:   https://gxplex.com/observations/ema-ai-reflection#obs-2026-07-30-3
Full record: https://gxplex.com/api/v1/series.jsonl
 HTTP 200 · 65,696 bytes returned · content changed direct 2,451 chars eb42a10342ad597462395f790b666b2c47c8b8ff10b10201ca66c02dba3195e9
2026-07-30·4
Cite this observation 
GxPlex observation record ema-ai-reflection 2026-07-30·4
Document:    EMA reflection paper on the use of artificial intelligence in the medicinal product lifecycle
Observed:    2026-07-30 (record 4 of that day)
Requested:   https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle
             (no answering URL was recorded for this observation)
Response:    HTTP 200, fetched direct, 65,696 bytes returned
Digest:      SHA-256 eb42a10342ad597462395f790b666b2c47c8b8ff10b10201ca66c02dba3195e9
             2,451 characters of normalised text.
             The digest is of the NORMALISED text, not of the bytes served:
             tags, scripts, navigation and volatile strings are removed before
             hashing, so hashing the source as served will not reproduce it.
             Normalisation is described at https://gxplex.com/methodology; the
             command that recomputes a digest is published at
             https://gxplex.com/verify.
Capture:     https://web.archive.org/web/20260730152003/https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle-scientific-guideline
             (Internet Archive, submitted 2026-07-30 — the day this
             observation was recorded, UTC.)
Permalink:   https://gxplex.com/observations/ema-ai-reflection#obs-2026-07-30-4
Full record: https://gxplex.com/api/v1/series.jsonl
 HTTP 200 · 65,696 bytes returned direct 2,451 chars eb42a10342ad597462395f790b666b2c47c8b8ff10b10201ca66c02dba3195e9
2026-07-30·5
Cite this observation 
GxPlex observation record ema-ai-reflection 2026-07-30·5
Document:    EMA reflection paper on the use of artificial intelligence in the medicinal product lifecycle
Observed:    2026-07-30 (record 5 of that day)
Requested:   https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle
             (no answering URL was recorded for this observation)
Response:    HTTP 200, fetched direct, 65,696 bytes returned
Digest:      SHA-256 eb42a10342ad597462395f790b666b2c47c8b8ff10b10201ca66c02dba3195e9
             2,451 characters of normalised text.
             The digest is of the NORMALISED text, not of the bytes served:
             tags, scripts, navigation and volatile strings are removed before
             hashing, so hashing the source as served will not reproduce it.
             Normalisation is described at https://gxplex.com/methodology; the
             command that recomputes a digest is published at
             https://gxplex.com/verify.
Capture:     https://web.archive.org/web/20260730152003/https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle-scientific-guideline
             (Internet Archive, submitted 2026-07-30 — the day this
             observation was recorded, UTC.)
Permalink:   https://gxplex.com/observations/ema-ai-reflection#obs-2026-07-30-5
Full record: https://gxplex.com/api/v1/series.jsonl
 HTTP 200 · 65,696 bytes returned direct 2,451 chars eb42a10342ad597462395f790b666b2c47c8b8ff10b10201ca66c02dba3195e9
2026-07-30·6
Cite this observation 
GxPlex observation record ema-ai-reflection 2026-07-30·6
Document:    EMA reflection paper on the use of artificial intelligence in the medicinal product lifecycle
Observed:    2026-07-30 (record 6 of that day)
Requested:   https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle
             (no answering URL was recorded for this observation)
Response:    HTTP 200, fetched direct, 65,696 bytes returned
Digest:      SHA-256 eb42a10342ad597462395f790b666b2c47c8b8ff10b10201ca66c02dba3195e9
             2,451 characters of normalised text.
             The digest is of the NORMALISED text, not of the bytes served:
             tags, scripts, navigation and volatile strings are removed before
             hashing, so hashing the source as served will not reproduce it.
             Normalisation is described at https://gxplex.com/methodology; the
             command that recomputes a digest is published at
             https://gxplex.com/verify.
Capture:     https://web.archive.org/web/20260730152003/https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle-scientific-guideline
             (Internet Archive, submitted 2026-07-30 — the day this
             observation was recorded, UTC.)
Permalink:   https://gxplex.com/observations/ema-ai-reflection#obs-2026-07-30-6
Full record: https://gxplex.com/api/v1/series.jsonl
 HTTP 200 · 65,696 bytes returned direct 2,451 chars eb42a10342ad597462395f790b666b2c47c8b8ff10b10201ca66c02dba3195e9
2026-07-30·7
Cite this observation 
GxPlex observation record ema-ai-reflection 2026-07-30·7
Document:    EMA reflection paper on the use of artificial intelligence in the medicinal product lifecycle
Observed:    2026-07-30 (record 7 of that day)
Requested:   https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle
             (no answering URL was recorded for this observation)
Response:    NO RESPONSE ARRIVED, fetched blocked, URLError
             The collector records a status of 0 and 0 bytes when no response
             arrived; neither is a measurement, and neither is published as
             one.
Digest:      NONE RECORDED. No response arrived, and no normalised text was
             retained for this observation, so nothing was hashed. This
             citation asserts no digest.
Capture:     https://web.archive.org/web/20260730152003/https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle-scientific-guideline
             (Internet Archive, submitted 2026-07-30 — the day this
             observation was recorded, UTC.)
Permalink:   https://gxplex.com/observations/ema-ai-reflection#obs-2026-07-30-7
Full record: https://gxplex.com/api/v1/series.jsonl
 no response arrived · URLError blocked — no response arrived on this occasion, so nothing was hashed
2026-07-30·8
Cite this observation 
GxPlex observation record ema-ai-reflection 2026-07-30·8
Document:    EMA reflection paper on the use of artificial intelligence in the medicinal product lifecycle
Observed:    2026-07-30 (record 8 of that day)
Requested:   https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle
             (no answering URL was recorded for this observation)
Response:    HTTP 200, fetched direct, 65,696 bytes returned
Digest:      SHA-256 eb42a10342ad597462395f790b666b2c47c8b8ff10b10201ca66c02dba3195e9
             2,451 characters of normalised text.
             The digest is of the NORMALISED text, not of the bytes served:
             tags, scripts, navigation and volatile strings are removed before
             hashing, so hashing the source as served will not reproduce it.
             Normalisation is described at https://gxplex.com/methodology; the
             command that recomputes a digest is published at
             https://gxplex.com/verify.
Capture:     https://web.archive.org/web/20260730152003/https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle-scientific-guideline
             (Internet Archive, submitted 2026-07-30 — the day this
             observation was recorded, UTC.)
Permalink:   https://gxplex.com/observations/ema-ai-reflection#obs-2026-07-30-8
Full record: https://gxplex.com/api/v1/series.jsonl
 HTTP 200 · 65,696 bytes returned direct 2,451 chars eb42a10342ad597462395f790b666b2c47c8b8ff10b10201ca66c02dba3195e9
2026-07-30·9
Cite this observation 
GxPlex observation record ema-ai-reflection 2026-07-30·9
Document:    EMA reflection paper on the use of artificial intelligence in the medicinal product lifecycle
Observed:    2026-07-30 (record 9 of that day)
Requested:   https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle
             (no answering URL was recorded for this observation)
Response:    HTTP 200, fetched direct, 65,696 bytes returned
Digest:      SHA-256 eb42a10342ad597462395f790b666b2c47c8b8ff10b10201ca66c02dba3195e9
             2,451 characters of normalised text.
             The digest is of the NORMALISED text, not of the bytes served:
             tags, scripts, navigation and volatile strings are removed before
             hashing, so hashing the source as served will not reproduce it.
             Normalisation is described at https://gxplex.com/methodology; the
             command that recomputes a digest is published at
             https://gxplex.com/verify.
Capture:     https://web.archive.org/web/20260730152003/https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle-scientific-guideline
             (Internet Archive, submitted 2026-07-30 — the day this
             observation was recorded, UTC.)
Permalink:   https://gxplex.com/observations/ema-ai-reflection#obs-2026-07-30-9
Full record: https://gxplex.com/api/v1/series.jsonl
 HTTP 200 · 65,696 bytes returned direct 2,451 chars eb42a10342ad597462395f790b666b2c47c8b8ff10b10201ca66c02dba3195e9
2026-07-30·10
Cite this observation 
GxPlex observation record ema-ai-reflection 2026-07-30·10
Document:    EMA reflection paper on the use of artificial intelligence in the medicinal product lifecycle
Observed:    2026-07-30 (record 10 of that day)
Requested:   https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle
             (no answering URL was recorded for this observation)
Response:    HTTP 200, fetched direct, 65,696 bytes returned
Digest:      SHA-256 eb42a10342ad597462395f790b666b2c47c8b8ff10b10201ca66c02dba3195e9
             2,451 characters of normalised text.
             The digest is of the NORMALISED text, not of the bytes served:
             tags, scripts, navigation and volatile strings are removed before
             hashing, so hashing the source as served will not reproduce it.
             Normalisation is described at https://gxplex.com/methodology; the
             command that recomputes a digest is published at
             https://gxplex.com/verify.
Capture:     https://web.archive.org/web/20260730152003/https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle-scientific-guideline
             (Internet Archive, submitted 2026-07-30 — the day this
             observation was recorded, UTC.)
Permalink:   https://gxplex.com/observations/ema-ai-reflection#obs-2026-07-30-10
Full record: https://gxplex.com/api/v1/series.jsonl
 HTTP 200 · 65,696 bytes returned direct 2,451 chars eb42a10342ad597462395f790b666b2c47c8b8ff10b10201ca66c02dba3195e9
2026-07-30·11
Cite this observation 
GxPlex observation record ema-ai-reflection 2026-07-30·11
Document:    EMA reflection paper on the use of artificial intelligence in the medicinal product lifecycle
Observed:    2026-07-30 (record 11 of that day)
Requested:   https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle
             (no answering URL was recorded for this observation)
Response:    HTTP 200, fetched direct, 65,696 bytes returned
Digest:      SHA-256 eb42a10342ad597462395f790b666b2c47c8b8ff10b10201ca66c02dba3195e9
             2,451 characters of normalised text.
             The digest is of the NORMALISED text, not of the bytes served:
             tags, scripts, navigation and volatile strings are removed before
             hashing, so hashing the source as served will not reproduce it.
             Normalisation is described at https://gxplex.com/methodology; the
             command that recomputes a digest is published at
             https://gxplex.com/verify.
Capture:     https://web.archive.org/web/20260730152003/https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle-scientific-guideline
             (Internet Archive, submitted 2026-07-30 — the day this
             observation was recorded, UTC.)
Permalink:   https://gxplex.com/observations/ema-ai-reflection#obs-2026-07-30-11
Full record: https://gxplex.com/api/v1/series.jsonl
 HTTP 200 · 65,696 bytes returned direct 2,451 chars eb42a10342ad597462395f790b666b2c47c8b8ff10b10201ca66c02dba3195e9
2026-07-30·12
Cite this observation 
GxPlex observation record ema-ai-reflection 2026-07-30·12
Document:    EMA reflection paper on the use of artificial intelligence in the medicinal product lifecycle
Observed:    2026-07-30 (record 12 of that day)
Requested:   https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle
             (no answering URL was recorded for this observation)
Response:    HTTP 200, fetched direct, 65,696 bytes returned
Digest:      SHA-256 eb42a10342ad597462395f790b666b2c47c8b8ff10b10201ca66c02dba3195e9
             2,451 characters of normalised text.
             The digest is of the NORMALISED text, not of the bytes served:
             tags, scripts, navigation and volatile strings are removed before
             hashing, so hashing the source as served will not reproduce it.
             Normalisation is described at https://gxplex.com/methodology; the
             command that recomputes a digest is published at
             https://gxplex.com/verify.
Capture:     https://web.archive.org/web/20260730152003/https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle-scientific-guideline
             (Internet Archive, submitted 2026-07-30 — the day this
             observation was recorded, UTC.)
Permalink:   https://gxplex.com/observations/ema-ai-reflection#obs-2026-07-30-12
Full record: https://gxplex.com/api/v1/series.jsonl
 HTTP 200 · 65,696 bytes returned direct 2,451 chars eb42a10342ad597462395f790b666b2c47c8b8ff10b10201ca66c02dba3195e9
2026-07-30·13
Cite this observation 
GxPlex observation record ema-ai-reflection 2026-07-30·13
Document:    EMA reflection paper on the use of artificial intelligence in the medicinal product lifecycle
Observed:    2026-07-30 (record 13 of that day)
Requested:   https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle
             (no answering URL was recorded for this observation)
Response:    HTTP 200, fetched direct, 65,696 bytes returned
Digest:      SHA-256 eb42a10342ad597462395f790b666b2c47c8b8ff10b10201ca66c02dba3195e9
             2,451 characters of normalised text.
             The digest is of the NORMALISED text, not of the bytes served:
             tags, scripts, navigation and volatile strings are removed before
             hashing, so hashing the source as served will not reproduce it.
             Normalisation is described at https://gxplex.com/methodology; the
             command that recomputes a digest is published at
             https://gxplex.com/verify.
Capture:     https://web.archive.org/web/20260730152003/https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle-scientific-guideline
             (Internet Archive, submitted 2026-07-30 — the day this
             observation was recorded, UTC.)
Permalink:   https://gxplex.com/observations/ema-ai-reflection#obs-2026-07-30-13
Full record: https://gxplex.com/api/v1/series.jsonl
 HTTP 200 · 65,696 bytes returned direct 2,451 chars eb42a10342ad597462395f790b666b2c47c8b8ff10b10201ca66c02dba3195e9
2026-07-30·14
Cite this observation 
GxPlex observation record ema-ai-reflection 2026-07-30·14
Document:    EMA reflection paper on the use of artificial intelligence in the medicinal product lifecycle
Observed:    2026-07-30 (record 14 of that day)
Requested:   https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle
             (no answering URL was recorded for this observation)
Response:    HTTP 200, fetched direct, 65,696 bytes returned
Digest:      SHA-256 eb42a10342ad597462395f790b666b2c47c8b8ff10b10201ca66c02dba3195e9
             2,451 characters of normalised text.
             The digest is of the NORMALISED text, not of the bytes served:
             tags, scripts, navigation and volatile strings are removed before
             hashing, so hashing the source as served will not reproduce it.
             Normalisation is described at https://gxplex.com/methodology; the
             command that recomputes a digest is published at
             https://gxplex.com/verify.
Capture:     https://web.archive.org/web/20260730152003/https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle-scientific-guideline
             (Internet Archive, submitted 2026-07-30 — the day this
             observation was recorded, UTC.)
Permalink:   https://gxplex.com/observations/ema-ai-reflection#obs-2026-07-30-14
Full record: https://gxplex.com/api/v1/series.jsonl
 HTTP 200 · 65,696 bytes returned direct 2,451 chars eb42a10342ad597462395f790b666b2c47c8b8ff10b10201ca66c02dba3195e9
2026-07-30·15
Cite this observation 
GxPlex observation record ema-ai-reflection 2026-07-30·15
Document:    EMA reflection paper on the use of artificial intelligence in the medicinal product lifecycle
Observed:    2026-07-30 (record 15 of that day)
Requested:   https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle
             (no answering URL was recorded for this observation)
Response:    HTTP 200, fetched direct, 65,696 bytes returned
Digest:      SHA-256 eb42a10342ad597462395f790b666b2c47c8b8ff10b10201ca66c02dba3195e9
             2,451 characters of normalised text.
             The digest is of the NORMALISED text, not of the bytes served:
             tags, scripts, navigation and volatile strings are removed before
             hashing, so hashing the source as served will not reproduce it.
             Normalisation is described at https://gxplex.com/methodology; the
             command that recomputes a digest is published at
             https://gxplex.com/verify.
Capture:     https://web.archive.org/web/20260730152003/https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle-scientific-guideline
             (Internet Archive, submitted 2026-07-30 — the day this
             observation was recorded, UTC.)
Permalink:   https://gxplex.com/observations/ema-ai-reflection#obs-2026-07-30-15
Full record: https://gxplex.com/api/v1/series.jsonl
 HTTP 200 · 65,696 bytes returned direct 2,451 chars eb42a10342ad597462395f790b666b2c47c8b8ff10b10201ca66c02dba3195e9
2026-07-30·16
Cite this observation 
GxPlex observation record ema-ai-reflection 2026-07-30·16
Document:    EMA reflection paper on the use of artificial intelligence in the medicinal product lifecycle
Observed:    2026-07-30 (record 16 of that day)
Requested:   https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle
             (no answering URL was recorded for this observation)
Response:    HTTP 200, fetched direct, 65,696 bytes returned
Digest:      SHA-256 eb42a10342ad597462395f790b666b2c47c8b8ff10b10201ca66c02dba3195e9
             2,451 characters of normalised text.
             The digest is of the NORMALISED text, not of the bytes served:
             tags, scripts, navigation and volatile strings are removed before
             hashing, so hashing the source as served will not reproduce it.
             Normalisation is described at https://gxplex.com/methodology; the
             command that recomputes a digest is published at
             https://gxplex.com/verify.
Capture:     https://web.archive.org/web/20260730152003/https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle-scientific-guideline
             (Internet Archive, submitted 2026-07-30 — the day this
             observation was recorded, UTC.)
Permalink:   https://gxplex.com/observations/ema-ai-reflection#obs-2026-07-30-16
Full record: https://gxplex.com/api/v1/series.jsonl
 HTTP 200 · 65,696 bytes returned direct 2,451 chars eb42a10342ad597462395f790b666b2c47c8b8ff10b10201ca66c02dba3195e9
2026-07-30·17
Cite this observation 
GxPlex observation record ema-ai-reflection 2026-07-30·17
Document:    EMA reflection paper on the use of artificial intelligence in the medicinal product lifecycle
Observed:    2026-07-30 (record 17 of that day)
Requested:   https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle
             (no answering URL was recorded for this observation)
Response:    HTTP 200, fetched direct, 65,696 bytes returned
Digest:      SHA-256 eb42a10342ad597462395f790b666b2c47c8b8ff10b10201ca66c02dba3195e9
             2,451 characters of normalised text.
             The digest is of the NORMALISED text, not of the bytes served:
             tags, scripts, navigation and volatile strings are removed before
             hashing, so hashing the source as served will not reproduce it.
             Normalisation is described at https://gxplex.com/methodology; the
             command that recomputes a digest is published at
             https://gxplex.com/verify.
Capture:     https://web.archive.org/web/20260730152003/https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle-scientific-guideline
             (Internet Archive, submitted 2026-07-30 — the day this
             observation was recorded, UTC.)
Permalink:   https://gxplex.com/observations/ema-ai-reflection#obs-2026-07-30-17
Full record: https://gxplex.com/api/v1/series.jsonl
 HTTP 200 · 65,696 bytes returned direct 2,451 chars eb42a10342ad597462395f790b666b2c47c8b8ff10b10201ca66c02dba3195e9
2026-07-30·18
Cite this observation 
GxPlex observation record ema-ai-reflection 2026-07-30·18
Document:    EMA reflection paper on the use of artificial intelligence in the medicinal product lifecycle
Observed:    2026-07-30 (record 18 of that day)
Requested:   https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle
             (no answering URL was recorded for this observation)
Response:    HTTP 200, fetched direct, 65,696 bytes returned
Digest:      SHA-256 eb42a10342ad597462395f790b666b2c47c8b8ff10b10201ca66c02dba3195e9
             2,451 characters of normalised text.
             The digest is of the NORMALISED text, not of the bytes served:
             tags, scripts, navigation and volatile strings are removed before
             hashing, so hashing the source as served will not reproduce it.
             Normalisation is described at https://gxplex.com/methodology; the
             command that recomputes a digest is published at
             https://gxplex.com/verify.
Capture:     https://web.archive.org/web/20260730152003/https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle-scientific-guideline
             (Internet Archive, submitted 2026-07-30, before this observation
             was recorded on 2026-07-31 UTC. NOT a capture of this
             observation.)
Permalink:   https://gxplex.com/observations/ema-ai-reflection#obs-2026-07-30-18
Full record: https://gxplex.com/api/v1/series.jsonl
 HTTP 200 · 65,696 bytes returned direct 2,451 chars eb42a10342ad597462395f790b666b2c47c8b8ff10b10201ca66c02dba3195e9
2026-07-30·19
Cite this observation 
GxPlex observation record ema-ai-reflection 2026-07-30·19
Document:    EMA reflection paper on the use of artificial intelligence in the medicinal product lifecycle
Observed:    2026-07-30 (record 19 of that day)
Requested:   https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle
             (no answering URL was recorded for this observation)
Response:    HTTP 200, fetched direct, 65,696 bytes returned
Digest:      SHA-256 eb42a10342ad597462395f790b666b2c47c8b8ff10b10201ca66c02dba3195e9
             2,451 characters of normalised text.
             The digest is of the NORMALISED text, not of the bytes served:
             tags, scripts, navigation and volatile strings are removed before
             hashing, so hashing the source as served will not reproduce it.
             Normalisation is described at https://gxplex.com/methodology; the
             command that recomputes a digest is published at
             https://gxplex.com/verify.
Capture:     https://web.archive.org/web/20260730152003/https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle-scientific-guideline
             (Internet Archive, submitted 2026-07-30, before this observation
             was recorded on 2026-07-31 UTC. NOT a capture of this
             observation.)
Permalink:   https://gxplex.com/observations/ema-ai-reflection#obs-2026-07-30-19
Full record: https://gxplex.com/api/v1/series.jsonl
 HTTP 200 · 65,696 bytes returned direct 2,451 chars eb42a10342ad597462395f790b666b2c47c8b8ff10b10201ca66c02dba3195e9
2026-07-31·1
Cite this observation 
GxPlex observation record ema-ai-reflection 2026-07-31·1
Document:    EMA reflection paper on the use of artificial intelligence in the medicinal product lifecycle
Observed:    2026-07-31 (record 1 of that day)
Requested:   https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle
             (no answering URL was recorded for this observation)
Response:    HTTP 200, fetched direct, 65,698 bytes returned
Digest:      SHA-256 eb42a10342ad597462395f790b666b2c47c8b8ff10b10201ca66c02dba3195e9
             2,451 characters of normalised text.
             The digest is of the NORMALISED text, not of the bytes served:
             tags, scripts, navigation and volatile strings are removed before
             hashing, so hashing the source as served will not reproduce it.
             Normalisation is described at https://gxplex.com/methodology; the
             command that recomputes a digest is published at
             https://gxplex.com/verify.
Capture:     https://web.archive.org/web/20260730152003/https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle-scientific-guideline
             (Internet Archive, submitted 2026-07-30, before this observation
             was recorded on 2026-07-31 UTC. NOT a capture of this
             observation.)
Permalink:   https://gxplex.com/observations/ema-ai-reflection#obs-2026-07-31-1
Full record: https://gxplex.com/api/v1/series.jsonl
 HTTP 200 · 65,698 bytes returned direct 2,451 chars eb42a10342ad597462395f790b666b2c47c8b8ff10b10201ca66c02dba3195e9
2026-07-31·2
Cite this observation 
GxPlex observation record ema-ai-reflection 2026-07-31·2
Document:    EMA reflection paper on the use of artificial intelligence in the medicinal product lifecycle
Observed:    2026-07-31 (record 2 of that day)
Requested:   https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle
             (no answering URL was recorded for this observation)
Response:    HTTP 200, fetched direct, 65,698 bytes returned
Digest:      SHA-256 eb42a10342ad597462395f790b666b2c47c8b8ff10b10201ca66c02dba3195e9
             2,451 characters of normalised text.
             The digest is of the NORMALISED text, not of the bytes served:
             tags, scripts, navigation and volatile strings are removed before
             hashing, so hashing the source as served will not reproduce it.
             Normalisation is described at https://gxplex.com/methodology; the
             command that recomputes a digest is published at
             https://gxplex.com/verify.
Capture:     https://web.archive.org/web/20260730152003/https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle-scientific-guideline
             (Internet Archive, submitted 2026-07-30, before this observation
             was recorded on 2026-07-31 UTC. NOT a capture of this
             observation.)
Permalink:   https://gxplex.com/observations/ema-ai-reflection#obs-2026-07-31-2
Full record: https://gxplex.com/api/v1/series.jsonl
 HTTP 200 · 65,698 bytes returned direct 2,451 chars eb42a10342ad597462395f790b666b2c47c8b8ff10b10201ca66c02dba3195e9
2026-07-31·3
Cite this observation 
GxPlex observation record ema-ai-reflection 2026-07-31·3
Document:    EMA reflection paper on the use of artificial intelligence in the medicinal product lifecycle
Observed:    2026-07-31 (record 3 of that day)
Requested:   https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle
             (no answering URL was recorded for this observation)
Response:    HTTP 200, fetched direct, 65,698 bytes returned
Digest:      SHA-256 eb42a10342ad597462395f790b666b2c47c8b8ff10b10201ca66c02dba3195e9
             2,451 characters of normalised text.
             The digest is of the NORMALISED text, not of the bytes served:
             tags, scripts, navigation and volatile strings are removed before
             hashing, so hashing the source as served will not reproduce it.
             Normalisation is described at https://gxplex.com/methodology; the
             command that recomputes a digest is published at
             https://gxplex.com/verify.
Capture:     https://web.archive.org/web/20260730152003/https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle-scientific-guideline
             (Internet Archive, submitted 2026-07-30, before this observation
             was recorded on 2026-07-31 UTC. NOT a capture of this
             observation.)
Permalink:   https://gxplex.com/observations/ema-ai-reflection#obs-2026-07-31-3
Full record: https://gxplex.com/api/v1/series.jsonl
 HTTP 200 · 65,698 bytes returned direct 2,451 chars eb42a10342ad597462395f790b666b2c47c8b8ff10b10201ca66c02dba3195e9
2026-07-31·4
Cite this observation 
GxPlex observation record ema-ai-reflection 2026-07-31·4
Document:    EMA reflection paper on the use of artificial intelligence in the medicinal product lifecycle
Observed:    2026-07-31 (record 4 of that day)
Requested:   https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle
             (no answering URL was recorded for this observation)
Response:    HTTP 200, fetched direct, 65,698 bytes returned
Digest:      SHA-256 eb42a10342ad597462395f790b666b2c47c8b8ff10b10201ca66c02dba3195e9
             2,451 characters of normalised text.
             The digest is of the NORMALISED text, not of the bytes served:
             tags, scripts, navigation and volatile strings are removed before
             hashing, so hashing the source as served will not reproduce it.
             Normalisation is described at https://gxplex.com/methodology; the
             command that recomputes a digest is published at
             https://gxplex.com/verify.
Capture:     https://web.archive.org/web/20260730152003/https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle-scientific-guideline
             (Internet Archive, submitted 2026-07-30, before this observation
             was recorded on 2026-07-31 UTC. NOT a capture of this
             observation.)
Permalink:   https://gxplex.com/observations/ema-ai-reflection#obs-2026-07-31-4
Full record: https://gxplex.com/api/v1/series.jsonl
 HTTP 200 · 65,698 bytes returned direct 2,451 chars eb42a10342ad597462395f790b666b2c47c8b8ff10b10201ca66c02dba3195e9
2026-07-31·5
Cite this observation 
GxPlex observation record ema-ai-reflection 2026-07-31·5
Document:    EMA reflection paper on the use of artificial intelligence in the medicinal product lifecycle
Observed:    2026-07-31 (record 5 of that day)
Requested:   https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle
             (no answering URL was recorded for this observation)
Response:    HTTP 200, fetched direct, 65,698 bytes returned
Digest:      SHA-256 eb42a10342ad597462395f790b666b2c47c8b8ff10b10201ca66c02dba3195e9
             2,451 characters of normalised text.
             The digest is of the NORMALISED text, not of the bytes served:
             tags, scripts, navigation and volatile strings are removed before
             hashing, so hashing the source as served will not reproduce it.
             Normalisation is described at https://gxplex.com/methodology; the
             command that recomputes a digest is published at
             https://gxplex.com/verify.
Capture:     https://web.archive.org/web/20260730152003/https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle-scientific-guideline
             (Internet Archive, submitted 2026-07-30, before this observation
             was recorded on 2026-07-31 UTC. NOT a capture of this
             observation.)
Permalink:   https://gxplex.com/observations/ema-ai-reflection#obs-2026-07-31-5
Full record: https://gxplex.com/api/v1/series.jsonl
 HTTP 200 · 65,698 bytes returned direct 2,451 chars eb42a10342ad597462395f790b666b2c47c8b8ff10b10201ca66c02dba3195e9
2026-07-31·6
Cite this observation 
GxPlex observation record ema-ai-reflection 2026-07-31·6
Document:    EMA reflection paper on the use of artificial intelligence in the medicinal product lifecycle
Observed:    2026-07-31 (record 6 of that day)
Requested:   https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle
             (no answering URL was recorded for this observation)
Response:    HTTP 200, fetched direct, 65,697 bytes returned
Digest:      SHA-256 eb42a10342ad597462395f790b666b2c47c8b8ff10b10201ca66c02dba3195e9
             2,451 characters of normalised text.
             The digest is of the NORMALISED text, not of the bytes served:
             tags, scripts, navigation and volatile strings are removed before
             hashing, so hashing the source as served will not reproduce it.
             Normalisation is described at https://gxplex.com/methodology; the
             command that recomputes a digest is published at
             https://gxplex.com/verify.
Capture:     https://web.archive.org/web/20260730152003/https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle-scientific-guideline
             (Internet Archive, submitted 2026-07-30, before this observation
             was recorded on 2026-07-31 UTC. NOT a capture of this
             observation.)
Permalink:   https://gxplex.com/observations/ema-ai-reflection#obs-2026-07-31-6
Full record: https://gxplex.com/api/v1/series.jsonl
 HTTP 200 · 65,697 bytes returned direct 2,451 chars eb42a10342ad597462395f790b666b2c47c8b8ff10b10201ca66c02dba3195e9
2026-07-31·7
Cite this observation 
GxPlex observation record ema-ai-reflection 2026-07-31·7
Document:    EMA reflection paper on the use of artificial intelligence in the medicinal product lifecycle
Observed:    2026-07-31 (record 7 of that day)
Requested:   https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle
             (no answering URL was recorded for this observation)
Response:    HTTP 200, fetched direct, 65,698 bytes returned
Digest:      SHA-256 eb42a10342ad597462395f790b666b2c47c8b8ff10b10201ca66c02dba3195e9
             2,451 characters of normalised text.
             The digest is of the NORMALISED text, not of the bytes served:
             tags, scripts, navigation and volatile strings are removed before
             hashing, so hashing the source as served will not reproduce it.
             Normalisation is described at https://gxplex.com/methodology; the
             command that recomputes a digest is published at
             https://gxplex.com/verify.
Capture:     https://web.archive.org/web/20260730152003/https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle-scientific-guideline
             (Internet Archive, submitted 2026-07-30, before this observation
             was recorded on 2026-07-31 UTC. NOT a capture of this
             observation.)
Permalink:   https://gxplex.com/observations/ema-ai-reflection#obs-2026-07-31-7
Full record: https://gxplex.com/api/v1/series.jsonl
 HTTP 200 · 65,698 bytes returned direct 2,451 chars eb42a10342ad597462395f790b666b2c47c8b8ff10b10201ca66c02dba3195e9
2026-08-01·1
Cite this observation 
GxPlex observation record ema-ai-reflection 2026-08-01·1
Document:    EMA reflection paper on the use of artificial intelligence in the medicinal product lifecycle
Observed:    2026-08-01 (record 1 of that day)
Requested:   https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle
             (no answering URL was recorded for this observation)
Response:    HTTP 200, fetched direct, 65,698 bytes returned
Digest:      SHA-256 eb42a10342ad597462395f790b666b2c47c8b8ff10b10201ca66c02dba3195e9
             2,451 characters of normalised text.
             The digest is of the NORMALISED text, not of the bytes served:
             tags, scripts, navigation and volatile strings are removed before
             hashing, so hashing the source as served will not reproduce it.
             Normalisation is described at https://gxplex.com/methodology; the
             command that recomputes a digest is published at
             https://gxplex.com/verify.
Capture:     https://web.archive.org/web/20260730152003/https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle-scientific-guideline
             (Internet Archive, submitted 2026-07-30, before this observation
             was recorded on 2026-08-01 UTC. NOT a capture of this
             observation.)
Permalink:   https://gxplex.com/observations/ema-ai-reflection#obs-2026-08-01-1
Full record: https://gxplex.com/api/v1/series.jsonl
 HTTP 200 · 65,698 bytes returned direct 2,451 chars eb42a10342ad597462395f790b666b2c47c8b8ff10b10201ca66c02dba3195e9
2026-08-01·2
Cite this observation 
GxPlex observation record ema-ai-reflection 2026-08-01·2
Document:    EMA reflection paper on the use of artificial intelligence in the medicinal product lifecycle
Observed:    2026-08-01 (record 2 of that day)
Requested:   https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle
             (no answering URL was recorded for this observation)
Response:    HTTP 200, fetched direct, 65,698 bytes returned
Digest:      SHA-256 eb42a10342ad597462395f790b666b2c47c8b8ff10b10201ca66c02dba3195e9
             2,451 characters of normalised text.
             The digest is of the NORMALISED text, not of the bytes served:
             tags, scripts, navigation and volatile strings are removed before
             hashing, so hashing the source as served will not reproduce it.
             Normalisation is described at https://gxplex.com/methodology; the
             command that recomputes a digest is published at
             https://gxplex.com/verify.
Capture:     https://web.archive.org/web/20260730152003/https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle-scientific-guideline
             (Internet Archive, submitted 2026-07-30, before this observation
             was recorded on 2026-08-01 UTC. NOT a capture of this
             observation.)
Permalink:   https://gxplex.com/observations/ema-ai-reflection#obs-2026-08-01-2
Full record: https://gxplex.com/api/v1/series.jsonl
 HTTP 200 · 65,698 bytes returned direct 2,451 chars eb42a10342ad597462395f790b666b2c47c8b8ff10b10201ca66c02dba3195e9
2026-08-01·3
Cite this observation 
GxPlex observation record ema-ai-reflection 2026-08-01·3
Document:    EMA reflection paper on the use of artificial intelligence in the medicinal product lifecycle
Observed:    2026-08-01 (record 3 of that day)
Requested:   https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle
             (no answering URL was recorded for this observation)
Response:    HTTP 200, fetched direct, 65,698 bytes returned
Digest:      SHA-256 eb42a10342ad597462395f790b666b2c47c8b8ff10b10201ca66c02dba3195e9
             2,451 characters of normalised text.
             The digest is of the NORMALISED text, not of the bytes served:
             tags, scripts, navigation and volatile strings are removed before
             hashing, so hashing the source as served will not reproduce it.
             Normalisation is described at https://gxplex.com/methodology; the
             command that recomputes a digest is published at
             https://gxplex.com/verify.
Capture:     https://web.archive.org/web/20260730152003/https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle-scientific-guideline
             (Internet Archive, submitted 2026-07-30, before this observation
             was recorded on 2026-08-02 UTC. NOT a capture of this
             observation.)
Permalink:   https://gxplex.com/observations/ema-ai-reflection#obs-2026-08-01-3
Full record: https://gxplex.com/api/v1/series.jsonl
 HTTP 200 · 65,698 bytes returned direct 2,451 chars eb42a10342ad597462395f790b666b2c47c8b8ff10b10201ca66c02dba3195e9
2026-08-02·1
Cite this observation 
GxPlex observation record ema-ai-reflection 2026-08-02·1
Document:    EMA reflection paper on the use of artificial intelligence in the medicinal product lifecycle
Observed:    2026-08-02 (record 1 of that day)
Requested:   https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle
             (no answering URL was recorded for this observation)
Response:    HTTP 200, fetched direct, 65,698 bytes returned
Digest:      SHA-256 eb42a10342ad597462395f790b666b2c47c8b8ff10b10201ca66c02dba3195e9
             2,451 characters of normalised text.
             The digest is of the NORMALISED text, not of the bytes served:
             tags, scripts, navigation and volatile strings are removed before
             hashing, so hashing the source as served will not reproduce it.
             Normalisation is described at https://gxplex.com/methodology; the
             command that recomputes a digest is published at
             https://gxplex.com/verify.
Capture:     https://web.archive.org/web/20260730152003/https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle-scientific-guideline
             (Internet Archive, submitted 2026-07-30, before this observation
             was recorded on 2026-08-02 UTC. NOT a capture of this
             observation.)
Permalink:   https://gxplex.com/observations/ema-ai-reflection#obs-2026-08-02-1
Full record: https://gxplex.com/api/v1/series.jsonl
 HTTP 200 · 65,698 bytes returned direct 2,451 chars eb42a10342ad597462395f790b666b2c47c8b8ff10b10201ca66c02dba3195e9
2026-08-02·2
Cite this observation 
GxPlex observation record ema-ai-reflection 2026-08-02·2
Document:    EMA reflection paper on the use of artificial intelligence in the medicinal product lifecycle
Observed:    2026-08-02 (record 2 of that day)
Requested:   https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle
             (no answering URL was recorded for this observation)
Response:    HTTP 200, fetched direct, 65,698 bytes returned
Digest:      SHA-256 eb42a10342ad597462395f790b666b2c47c8b8ff10b10201ca66c02dba3195e9
             2,451 characters of normalised text.
             The digest is of the NORMALISED text, not of the bytes served:
             tags, scripts, navigation and volatile strings are removed before
             hashing, so hashing the source as served will not reproduce it.
             Normalisation is described at https://gxplex.com/methodology; the
             command that recomputes a digest is published at
             https://gxplex.com/verify.
Capture:     https://web.archive.org/web/20260730152003/https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle-scientific-guideline
             (Internet Archive, submitted 2026-07-30, before this observation
             was recorded on 2026-08-02 UTC. NOT a capture of this
             observation.)
Permalink:   https://gxplex.com/observations/ema-ai-reflection#obs-2026-08-02-2
Full record: https://gxplex.com/api/v1/series.jsonl
 HTTP 200 · 65,698 bytes returned direct 2,451 chars eb42a10342ad597462395f790b666b2c47c8b8ff10b10201ca66c02dba3195e9
2026-08-02·3
Cite this observation 
GxPlex observation record ema-ai-reflection 2026-08-02·3
Document:    EMA reflection paper on the use of artificial intelligence in the medicinal product lifecycle
Observed:    2026-08-02 (record 3 of that day)
Requested:   https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle
             (no answering URL was recorded for this observation)
Response:    HTTP 200, fetched direct, 65,698 bytes returned
Digest:      SHA-256 eb42a10342ad597462395f790b666b2c47c8b8ff10b10201ca66c02dba3195e9
             2,451 characters of normalised text.
             The digest is of the NORMALISED text, not of the bytes served:
             tags, scripts, navigation and volatile strings are removed before
             hashing, so hashing the source as served will not reproduce it.
             Normalisation is described at https://gxplex.com/methodology; the
             command that recomputes a digest is published at
             https://gxplex.com/verify.
Capture:     https://web.archive.org/web/20260730152003/https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle-scientific-guideline
             (Internet Archive, submitted 2026-07-30, before this observation
             was recorded on 2026-08-02 UTC. NOT a capture of this
             observation.)
Permalink:   https://gxplex.com/observations/ema-ai-reflection#obs-2026-08-02-3
Full record: https://gxplex.com/api/v1/series.jsonl
 HTTP 200 · 65,698 bytes returned direct 2,451 chars eb42a10342ad597462395f790b666b2c47c8b8ff10b10201ca66c02dba3195e9
2026-08-03·1
Cite this observation 
GxPlex observation record ema-ai-reflection 2026-08-03·1
Document:    EMA reflection paper on the use of artificial intelligence in the medicinal product lifecycle
Observed:    2026-08-03 (record 1 of that day)
Requested:   https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle
             (no answering URL was recorded for this observation)
Response:    HTTP 200, fetched direct, 65,698 bytes returned
Digest:      SHA-256 eb42a10342ad597462395f790b666b2c47c8b8ff10b10201ca66c02dba3195e9
             2,451 characters of normalised text.
             The digest is of the NORMALISED text, not of the bytes served:
             tags, scripts, navigation and volatile strings are removed before
             hashing, so hashing the source as served will not reproduce it.
             Normalisation is described at https://gxplex.com/methodology; the
             command that recomputes a digest is published at
             https://gxplex.com/verify.
Capture:     https://web.archive.org/web/20260730152003/https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle-scientific-guideline
             (Internet Archive, submitted 2026-07-30, before this observation
             was recorded on 2026-08-03 UTC. NOT a capture of this
             observation.)
Permalink:   https://gxplex.com/observations/ema-ai-reflection#obs-2026-08-03-1
Full record: https://gxplex.com/api/v1/series.jsonl
 HTTP 200 · 65,698 bytes returned direct 2,451 chars eb42a10342ad597462395f790b666b2c47c8b8ff10b10201ca66c02dba3195e9
2026-08-03·2
Cite this observation 
GxPlex observation record ema-ai-reflection 2026-08-03·2
Document:    EMA reflection paper on the use of artificial intelligence in the medicinal product lifecycle
Observed:    2026-08-03 (record 2 of that day)
Requested:   https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle
             (no answering URL was recorded for this observation)
Response:    HTTP 200, fetched direct, 64,863 bytes returned
Digest:      SHA-256 863f5ab39635ca89bc0ae1c49ddd75740616ef2970e9651d56e69fca0634ce01
             1,932 characters of normalised text.
             The digest is of the NORMALISED text, not of the bytes served:
             tags, scripts, navigation and volatile strings are removed before
             hashing, so hashing the source as served will not reproduce it.
             Normalisation is described at https://gxplex.com/methodology; the
             command that recomputes a digest is published at
             https://gxplex.com/verify.
Capture:     https://web.archive.org/web/20260803173946/https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle-scientific-guideline
             (Internet Archive, submitted 2026-08-03 — the day this
             observation was recorded, UTC.)
Permalink:   https://gxplex.com/observations/ema-ai-reflection#obs-2026-08-03-2
Full record: https://gxplex.com/api/v1/series.jsonl
 HTTP 200 · 64,863 bytes returned · content changed direct 1,932 chars 863f5ab39635ca89bc0ae1c49ddd75740616ef2970e9651d56e69fca0634ce01
2026-08-03·3
Cite this observation 
GxPlex observation record ema-ai-reflection 2026-08-03·3
Document:    EMA reflection paper on the use of artificial intelligence in the medicinal product lifecycle
Observed:    2026-08-03 (record 3 of that day)
Answered at: https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle-scientific-guideline
             (requested https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle; the publisher redirected)
Response:    HTTP 200, fetched direct, 65,697 bytes returned
Digest:      SHA-256 eb42a10342ad597462395f790b666b2c47c8b8ff10b10201ca66c02dba3195e9
             2,451 characters of normalised text.
             The digest is of the NORMALISED text, not of the bytes served:
             tags, scripts, navigation and volatile strings are removed before
             hashing, so hashing the source as served will not reproduce it.
             Normalisation is described at https://gxplex.com/methodology; the
             command that recomputes a digest is published at
             https://gxplex.com/verify.
Capture:     https://web.archive.org/web/20260803173946/https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle-scientific-guideline
             (Internet Archive, submitted 2026-08-03 — the day this
             observation was recorded, UTC.)
Permalink:   https://gxplex.com/observations/ema-ai-reflection#obs-2026-08-03-3
Full record: https://gxplex.com/api/v1/series.jsonl
 HTTP 200 · 65,697 bytes returned · content changed direct 2,451 chars eb42a10342ad597462395f790b666b2c47c8b8ff10b10201ca66c02dba3195e9
2026-08-04·1
Cite this observation 
GxPlex observation record ema-ai-reflection 2026-08-04·1
Document:    EMA reflection paper on the use of artificial intelligence in the medicinal product lifecycle
Observed:    2026-08-04 (record 1 of that day)
Answered at: https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle-scientific-guideline
             (requested https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle; the publisher redirected)
Response:    HTTP 200, fetched direct, 65,696 bytes returned
Digest:      SHA-256 eb42a10342ad597462395f790b666b2c47c8b8ff10b10201ca66c02dba3195e9
             2,451 characters of normalised text.
             The digest is of the NORMALISED text, not of the bytes served:
             tags, scripts, navigation and volatile strings are removed before
             hashing, so hashing the source as served will not reproduce it.
             Normalisation is described at https://gxplex.com/methodology; the
             command that recomputes a digest is published at
             https://gxplex.com/verify.
Capture:     https://web.archive.org/web/20260803173946/https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle-scientific-guideline
             (Internet Archive, submitted 2026-08-03, before this observation
             was recorded on 2026-08-04 UTC. NOT a capture of this
             observation.)
Permalink:   https://gxplex.com/observations/ema-ai-reflection#obs-2026-08-04-1
Full record: https://gxplex.com/api/v1/series.jsonl
 HTTP 200 · 65,696 bytes returned direct 2,451 chars eb42a10342ad597462395f790b666b2c47c8b8ff10b10201ca66c02dba3195e9
2026-08-04·2
Cite this observation 
GxPlex observation record ema-ai-reflection 2026-08-04·2
Document:    EMA reflection paper on the use of artificial intelligence in the medicinal product lifecycle
Observed:    2026-08-04 (record 2 of that day)
Answered at: https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle-scientific-guideline
             (requested https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle; the publisher redirected)
Response:    HTTP 200, fetched direct, 65,697 bytes returned
Digest:      SHA-256 eb42a10342ad597462395f790b666b2c47c8b8ff10b10201ca66c02dba3195e9
             2,451 characters of normalised text.
             The digest is of the NORMALISED text, not of the bytes served:
             tags, scripts, navigation and volatile strings are removed before
             hashing, so hashing the source as served will not reproduce it.
             Normalisation is described at https://gxplex.com/methodology; the
             command that recomputes a digest is published at
             https://gxplex.com/verify.
Capture:     https://web.archive.org/web/20260803173946/https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle-scientific-guideline
             (Internet Archive, submitted 2026-08-03, before this observation
             was recorded on 2026-08-04 UTC. NOT a capture of this
             observation.)
Permalink:   https://gxplex.com/observations/ema-ai-reflection#obs-2026-08-04-2
Full record: https://gxplex.com/api/v1/series.jsonl
 HTTP 200 · 65,697 bytes returned direct 2,451 chars eb42a10342ad597462395f790b666b2c47c8b8ff10b10201ca66c02dba3195e9
2026-08-05·1
Cite this observation 
GxPlex observation record ema-ai-reflection 2026-08-05·1
Document:    EMA reflection paper on the use of artificial intelligence in the medicinal product lifecycle
Observed:    2026-08-05 (record 1 of that day)
Answered at: https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle-scientific-guideline
             (requested https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle; the publisher redirected)
Response:    HTTP 200, fetched direct, 65,698 bytes returned
Digest:      SHA-256 eb42a10342ad597462395f790b666b2c47c8b8ff10b10201ca66c02dba3195e9
             2,451 characters of normalised text.
             The digest is of the NORMALISED text, not of the bytes served:
             tags, scripts, navigation and volatile strings are removed before
             hashing, so hashing the source as served will not reproduce it.
             Normalisation is described at https://gxplex.com/methodology; the
             command that recomputes a digest is published at
             https://gxplex.com/verify.
Capture:     https://web.archive.org/web/20260803173946/https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle-scientific-guideline
             (Internet Archive, submitted 2026-08-03, before this observation
             was recorded on 2026-08-05 UTC. NOT a capture of this
             observation.)
Permalink:   https://gxplex.com/observations/ema-ai-reflection#obs-2026-08-05-1
Full record: https://gxplex.com/api/v1/series.jsonl
 HTTP 200 · 65,698 bytes returned direct 2,451 chars eb42a10342ad597462395f790b666b2c47c8b8ff10b10201ca66c02dba3195e9
2026-08-05·2
Cite this observation 
GxPlex observation record ema-ai-reflection 2026-08-05·2
Document:    EMA reflection paper on the use of artificial intelligence in the medicinal product lifecycle
Observed:    2026-08-05 (record 2 of that day)
Answered at: https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle-scientific-guideline
             (requested https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle; the publisher redirected)
Response:    HTTP 200, fetched direct, 65,698 bytes returned
Digest:      SHA-256 eb42a10342ad597462395f790b666b2c47c8b8ff10b10201ca66c02dba3195e9
             2,451 characters of normalised text.
             The digest is of the NORMALISED text, not of the bytes served:
             tags, scripts, navigation and volatile strings are removed before
             hashing, so hashing the source as served will not reproduce it.
             Normalisation is described at https://gxplex.com/methodology; the
             command that recomputes a digest is published at
             https://gxplex.com/verify.
Capture:     https://web.archive.org/web/20260803173946/https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle-scientific-guideline
             (Internet Archive, submitted 2026-08-03, before this observation
             was recorded on 2026-08-05 UTC. NOT a capture of this
             observation.)
Permalink:   https://gxplex.com/observations/ema-ai-reflection#obs-2026-08-05-2
Full record: https://gxplex.com/api/v1/series.jsonl
 HTTP 200 · 65,698 bytes returned direct 2,451 chars eb42a10342ad597462395f790b666b2c47c8b8ff10b10201ca66c02dba3195e9
2026-08-05·3
Cite this observation 
GxPlex observation record ema-ai-reflection 2026-08-05·3
Document:    EMA reflection paper on the use of artificial intelligence in the medicinal product lifecycle
Observed:    2026-08-05 (record 3 of that day)
Answered at: https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle-scientific-guideline
             (requested https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle; the publisher redirected)
Response:    HTTP 200, fetched direct, 65,698 bytes returned
Digest:      SHA-256 eb42a10342ad597462395f790b666b2c47c8b8ff10b10201ca66c02dba3195e9
             2,451 characters of normalised text.
             The digest is of the NORMALISED text, not of the bytes served:
             tags, scripts, navigation and volatile strings are removed before
             hashing, so hashing the source as served will not reproduce it.
             Normalisation is described at https://gxplex.com/methodology; the
             command that recomputes a digest is published at
             https://gxplex.com/verify.
Capture:     https://web.archive.org/web/20260803173946/https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle-scientific-guideline
             (Internet Archive, submitted 2026-08-03, before this observation
             was recorded on 2026-08-05 UTC. NOT a capture of this
             observation.)
Permalink:   https://gxplex.com/observations/ema-ai-reflection#obs-2026-08-05-3
Full record: https://gxplex.com/api/v1/series.jsonl
 HTTP 200 · 65,698 bytes returned direct 2,451 chars eb42a10342ad597462395f790b666b2c47c8b8ff10b10201ca66c02dba3195e9
2026-08-06·1
Cite this observation 
GxPlex observation record ema-ai-reflection 2026-08-06·1
Document:    EMA reflection paper on the use of artificial intelligence in the medicinal product lifecycle
Observed:    2026-08-06 (record 1 of that day)
Answered at: https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle-scientific-guideline
             (requested https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle; the publisher redirected)
Response:    HTTP 200, fetched direct, 65,693 bytes returned
Digest:      SHA-256 eb42a10342ad597462395f790b666b2c47c8b8ff10b10201ca66c02dba3195e9
             2,451 characters of normalised text.
             The digest is of the NORMALISED text, not of the bytes served:
             tags, scripts, navigation and volatile strings are removed before
             hashing, so hashing the source as served will not reproduce it.
             Normalisation is described at https://gxplex.com/methodology; the
             command that recomputes a digest is published at
             https://gxplex.com/verify.
Capture:     https://web.archive.org/web/20260803173946/https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle-scientific-guideline
             (Internet Archive, submitted 2026-08-03, before this observation
             was recorded on 2026-08-06 UTC. NOT a capture of this
             observation.)
Permalink:   https://gxplex.com/observations/ema-ai-reflection#obs-2026-08-06-1
Full record: https://gxplex.com/api/v1/series.jsonl
 HTTP 200 · 65,693 bytes returned direct 2,451 chars eb42a10342ad597462395f790b666b2c47c8b8ff10b10201ca66c02dba3195e9
2026-08-06·2
Cite this observation 
GxPlex observation record ema-ai-reflection 2026-08-06·2
Document:    EMA reflection paper on the use of artificial intelligence in the medicinal product lifecycle
Observed:    2026-08-06 (record 2 of that day)
Answered at: https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle-scientific-guideline
             (requested https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle; the publisher redirected)
Response:    HTTP 200, fetched direct, 65,693 bytes returned
Digest:      SHA-256 eb42a10342ad597462395f790b666b2c47c8b8ff10b10201ca66c02dba3195e9
             2,451 characters of normalised text.
             The digest is of the NORMALISED text, not of the bytes served:
             tags, scripts, navigation and volatile strings are removed before
             hashing, so hashing the source as served will not reproduce it.
             Normalisation is described at https://gxplex.com/methodology; the
             command that recomputes a digest is published at
             https://gxplex.com/verify.
Capture:     https://web.archive.org/web/20260803173946/https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle-scientific-guideline
             (Internet Archive, submitted 2026-08-03, before this observation
             was recorded on 2026-08-06 UTC. NOT a capture of this
             observation.)
Permalink:   https://gxplex.com/observations/ema-ai-reflection#obs-2026-08-06-2
Full record: https://gxplex.com/api/v1/series.jsonl
 HTTP 200 · 65,693 bytes returned direct 2,451 chars eb42a10342ad597462395f790b666b2c47c8b8ff10b10201ca66c02dba3195e9
2026-08-07·1
Cite this observation 
GxPlex observation record ema-ai-reflection 2026-08-07·1
Document:    EMA reflection paper on the use of artificial intelligence in the medicinal product lifecycle
Observed:    2026-08-07 (record 1 of that day)
Answered at: https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle-scientific-guideline
             (requested https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle; the publisher redirected)
Response:    HTTP 200, fetched direct, 65,696 bytes returned
Digest:      SHA-256 eb42a10342ad597462395f790b666b2c47c8b8ff10b10201ca66c02dba3195e9
             2,451 characters of normalised text.
             The digest is of the NORMALISED text, not of the bytes served:
             tags, scripts, navigation and volatile strings are removed before
             hashing, so hashing the source as served will not reproduce it.
             Normalisation is described at https://gxplex.com/methodology; the
             command that recomputes a digest is published at
             https://gxplex.com/verify.
Capture:     https://web.archive.org/web/20260803173946/https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle-scientific-guideline
             (Internet Archive, submitted 2026-08-03, before this observation
             was recorded on 2026-08-07 UTC. NOT a capture of this
             observation.)
Permalink:   https://gxplex.com/observations/ema-ai-reflection#obs-2026-08-07-1
Full record: https://gxplex.com/api/v1/series.jsonl
 HTTP 200 · 65,696 bytes returned direct 2,451 chars eb42a10342ad597462395f790b666b2c47c8b8ff10b10201ca66c02dba3195e9
2026-08-08·1
Cite this observation 
GxPlex observation record ema-ai-reflection 2026-08-08·1
Document:    EMA reflection paper on the use of artificial intelligence in the medicinal product lifecycle
Observed:    2026-08-08 (record 1 of that day)
Answered at: https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle-scientific-guideline
             (requested https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle; the publisher redirected)
Response:    HTTP 200, fetched direct, 65,696 bytes returned
Digest:      SHA-256 eb42a10342ad597462395f790b666b2c47c8b8ff10b10201ca66c02dba3195e9
             2,451 characters of normalised text.
             The digest is of the NORMALISED text, not of the bytes served:
             tags, scripts, navigation and volatile strings are removed before
             hashing, so hashing the source as served will not reproduce it.
             Normalisation is described at https://gxplex.com/methodology; the
             command that recomputes a digest is published at
             https://gxplex.com/verify.
Capture:     https://web.archive.org/web/20260803173946/https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle-scientific-guideline
             (Internet Archive, submitted 2026-08-03, before this observation
             was recorded on 2026-08-08 UTC. NOT a capture of this
             observation.)
Permalink:   https://gxplex.com/observations/ema-ai-reflection#obs-2026-08-08-1
Full record: https://gxplex.com/api/v1/series.jsonl
 HTTP 200 · 65,696 bytes returned direct 2,451 chars eb42a10342ad597462395f790b666b2c47c8b8ff10b10201ca66c02dba3195e9
2026-08-08·2
Cite this observation 
GxPlex observation record ema-ai-reflection 2026-08-08·2
Document:    EMA reflection paper on the use of artificial intelligence in the medicinal product lifecycle
Observed:    2026-08-08 (record 2 of that day)
Answered at: https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle-scientific-guideline
             (requested https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle; the publisher redirected)
Response:    HTTP 200, fetched direct, 64,861 bytes returned
Digest:      SHA-256 863f5ab39635ca89bc0ae1c49ddd75740616ef2970e9651d56e69fca0634ce01
             1,932 characters of normalised text.
             The digest is of the NORMALISED text, not of the bytes served:
             tags, scripts, navigation and volatile strings are removed before
             hashing, so hashing the source as served will not reproduce it.
             Normalisation is described at https://gxplex.com/methodology; the
             command that recomputes a digest is published at
             https://gxplex.com/verify.
Capture:     https://web.archive.org/web/20260803173946/https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle-scientific-guideline
             (Internet Archive, submitted 2026-08-03, before this observation
             was recorded on 2026-08-08 UTC. NOT a capture of this
             observation.)
Permalink:   https://gxplex.com/observations/ema-ai-reflection#obs-2026-08-08-2
Full record: https://gxplex.com/api/v1/series.jsonl
 HTTP 200 · 64,861 bytes returned · content changed direct 1,932 chars 863f5ab39635ca89bc0ae1c49ddd75740616ef2970e9651d56e69fca0634ce01
2026-08-08·3
Cite this observation 
GxPlex observation record ema-ai-reflection 2026-08-08·3
Document:    EMA reflection paper on the use of artificial intelligence in the medicinal product lifecycle
Observed:    2026-08-08 (record 3 of that day)
Answered at: https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle-scientific-guideline
             (requested https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle; the publisher redirected)
Response:    HTTP 200, fetched direct, 65,696 bytes returned
Digest:      SHA-256 eb42a10342ad597462395f790b666b2c47c8b8ff10b10201ca66c02dba3195e9
             2,451 characters of normalised text.
             The digest is of the NORMALISED text, not of the bytes served:
             tags, scripts, navigation and volatile strings are removed before
             hashing, so hashing the source as served will not reproduce it.
             Normalisation is described at https://gxplex.com/methodology; the
             command that recomputes a digest is published at
             https://gxplex.com/verify.
Capture:     https://web.archive.org/web/20260803173946/https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle-scientific-guideline
             (Internet Archive, submitted 2026-08-03, before this observation
             was recorded on 2026-08-08 UTC. NOT a capture of this
             observation.)
Permalink:   https://gxplex.com/observations/ema-ai-reflection#obs-2026-08-08-3
Full record: https://gxplex.com/api/v1/series.jsonl
 HTTP 200 · 65,696 bytes returned · content changed direct 2,451 chars eb42a10342ad597462395f790b666b2c47c8b8ff10b10201ca66c02dba3195e9
2026-08-08·4
Cite this observation 
GxPlex observation record ema-ai-reflection 2026-08-08·4
Document:    EMA reflection paper on the use of artificial intelligence in the medicinal product lifecycle
Observed:    2026-08-08 (record 4 of that day)
Answered at: https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle-scientific-guideline
             (requested https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle; the publisher redirected)
Response:    HTTP 200, fetched direct, 65,696 bytes returned
Digest:      SHA-256 eb42a10342ad597462395f790b666b2c47c8b8ff10b10201ca66c02dba3195e9
             2,451 characters of normalised text.
             The digest is of the NORMALISED text, not of the bytes served:
             tags, scripts, navigation and volatile strings are removed before
             hashing, so hashing the source as served will not reproduce it.
             Normalisation is described at https://gxplex.com/methodology; the
             command that recomputes a digest is published at
             https://gxplex.com/verify.
Capture:     https://web.archive.org/web/20260803173946/https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle-scientific-guideline
             (Internet Archive, submitted 2026-08-03, before this observation
             was recorded on 2026-08-08 UTC. NOT a capture of this
             observation.)
Permalink:   https://gxplex.com/observations/ema-ai-reflection#obs-2026-08-08-4
Full record: https://gxplex.com/api/v1/series.jsonl
 HTTP 200 · 65,696 bytes returned direct 2,451 chars eb42a10342ad597462395f790b666b2c47c8b8ff10b10201ca66c02dba3195e9
2026-08-09·1
Cite this observation 
GxPlex observation record ema-ai-reflection 2026-08-09·1
Document:    EMA reflection paper on the use of artificial intelligence in the medicinal product lifecycle
Observed:    2026-08-09 (record 1 of that day)
Answered at: https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle-scientific-guideline
             (requested https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle; the publisher redirected)
Response:    HTTP 200, fetched direct, 65,696 bytes returned
Digest:      SHA-256 eb42a10342ad597462395f790b666b2c47c8b8ff10b10201ca66c02dba3195e9
             2,451 characters of normalised text.
             The digest is of the NORMALISED text, not of the bytes served:
             tags, scripts, navigation and volatile strings are removed before
             hashing, so hashing the source as served will not reproduce it.
             Normalisation is described at https://gxplex.com/methodology; the
             command that recomputes a digest is published at
             https://gxplex.com/verify.
Capture:     https://web.archive.org/web/20260803173946/https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle-scientific-guideline
             (Internet Archive, submitted 2026-08-03, before this observation
             was recorded on 2026-08-09 UTC. NOT a capture of this
             observation.)
Permalink:   https://gxplex.com/observations/ema-ai-reflection#obs-2026-08-09-1
Full record: https://gxplex.com/api/v1/series.jsonl
 HTTP 200 · 65,696 bytes returned direct 2,451 chars eb42a10342ad597462395f790b666b2c47c8b8ff10b10201ca66c02dba3195e9
2026-08-09·2
Cite this observation 
GxPlex observation record ema-ai-reflection 2026-08-09·2
Document:    EMA reflection paper on the use of artificial intelligence in the medicinal product lifecycle
Observed:    2026-08-09 (record 2 of that day)
Answered at: https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle-scientific-guideline
             (requested https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle; the publisher redirected)
Response:    HTTP 200, fetched direct, 65,696 bytes returned
Digest:      SHA-256 eb42a10342ad597462395f790b666b2c47c8b8ff10b10201ca66c02dba3195e9
             2,451 characters of normalised text.
             The digest is of the NORMALISED text, not of the bytes served:
             tags, scripts, navigation and volatile strings are removed before
             hashing, so hashing the source as served will not reproduce it.
             Normalisation is described at https://gxplex.com/methodology; the
             command that recomputes a digest is published at
             https://gxplex.com/verify.
Capture:     https://web.archive.org/web/20260803173946/https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle-scientific-guideline
             (Internet Archive, submitted 2026-08-03, before this observation
             was recorded on 2026-08-09 UTC. NOT a capture of this
             observation.)
Permalink:   https://gxplex.com/observations/ema-ai-reflection#obs-2026-08-09-2
Full record: https://gxplex.com/api/v1/series.jsonl
 HTTP 200 · 65,696 bytes returned direct 2,451 chars eb42a10342ad597462395f790b666b2c47c8b8ff10b10201ca66c02dba3195e9
2026-08-09·3
Cite this observation 
GxPlex observation record ema-ai-reflection 2026-08-09·3
Document:    EMA reflection paper on the use of artificial intelligence in the medicinal product lifecycle
Observed:    2026-08-09 (record 3 of that day)
Answered at: https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle-scientific-guideline
             (requested https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle; the publisher redirected)
Response:    HTTP 200, fetched direct, 65,696 bytes returned
Digest:      SHA-256 eb42a10342ad597462395f790b666b2c47c8b8ff10b10201ca66c02dba3195e9
             2,451 characters of normalised text.
             The digest is of the NORMALISED text, not of the bytes served:
             tags, scripts, navigation and volatile strings are removed before
             hashing, so hashing the source as served will not reproduce it.
             Normalisation is described at https://gxplex.com/methodology; the
             command that recomputes a digest is published at
             https://gxplex.com/verify.
Capture:     https://web.archive.org/web/20260803173946/https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle-scientific-guideline
             (Internet Archive, submitted 2026-08-03, before this observation
             was recorded on 2026-08-09 UTC. NOT a capture of this
             observation.)
Permalink:   https://gxplex.com/observations/ema-ai-reflection#obs-2026-08-09-3
Full record: https://gxplex.com/api/v1/series.jsonl
 HTTP 200 · 65,696 bytes returned direct 2,451 chars eb42a10342ad597462395f790b666b2c47c8b8ff10b10201ca66c02dba3195e9
2026-08-09·4
Cite this observation 
GxPlex observation record ema-ai-reflection 2026-08-09·4
Document:    EMA reflection paper on the use of artificial intelligence in the medicinal product lifecycle
Observed:    2026-08-09 (record 4 of that day)
Requested:   https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle
             (no answering URL was recorded for this observation)
Response:    NO RESPONSE ARRIVED, fetched blocked, URLError
             The collector records a status of 0 and 0 bytes when no response
             arrived; neither is a measurement, and neither is published as
             one.
Digest:      NONE RECORDED. No response arrived, and no normalised text was
             retained for this observation, so nothing was hashed. This
             citation asserts no digest.
Capture:     https://web.archive.org/web/20260803173946/https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle-scientific-guideline
             (Internet Archive, submitted 2026-08-03, before this observation
             was recorded on 2026-08-09 UTC. NOT a capture of this
             observation.)
Permalink:   https://gxplex.com/observations/ema-ai-reflection#obs-2026-08-09-4
Full record: https://gxplex.com/api/v1/series.jsonl
 no response arrived · URLError blocked — no response arrived on this occasion, so nothing was hashed
2026-08-09·5
Cite this observation 
GxPlex observation record ema-ai-reflection 2026-08-09·5
Document:    EMA reflection paper on the use of artificial intelligence in the medicinal product lifecycle
Observed:    2026-08-09 (record 5 of that day)
Answered at: https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle-scientific-guideline
             (requested https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle; the publisher redirected)
Response:    HTTP 200, fetched direct, 65,696 bytes returned
Digest:      SHA-256 eb42a10342ad597462395f790b666b2c47c8b8ff10b10201ca66c02dba3195e9
             2,451 characters of normalised text.
             The digest is of the NORMALISED text, not of the bytes served:
             tags, scripts, navigation and volatile strings are removed before
             hashing, so hashing the source as served will not reproduce it.
             Normalisation is described at https://gxplex.com/methodology; the
             command that recomputes a digest is published at
             https://gxplex.com/verify.
Capture:     https://web.archive.org/web/20260803173946/https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle-scientific-guideline
             (Internet Archive, submitted 2026-08-03, before this observation
             was recorded on 2026-08-09 UTC. NOT a capture of this
             observation.)
Permalink:   https://gxplex.com/observations/ema-ai-reflection#obs-2026-08-09-5
Full record: https://gxplex.com/api/v1/series.jsonl
 HTTP 200 · 65,696 bytes returned direct 2,451 chars eb42a10342ad597462395f790b666b2c47c8b8ff10b10201ca66c02dba3195e9
2026-08-09·6
Cite this observation 
GxPlex observation record ema-ai-reflection 2026-08-09·6
Document:    EMA reflection paper on the use of artificial intelligence in the medicinal product lifecycle
Observed:    2026-08-09 (record 6 of that day)
Answered at: https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle-scientific-guideline
             (requested https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle; the publisher redirected)
Response:    HTTP 200, fetched direct, 65,696 bytes returned
Digest:      SHA-256 eb42a10342ad597462395f790b666b2c47c8b8ff10b10201ca66c02dba3195e9
             2,451 characters of normalised text.
             The digest is of the NORMALISED text, not of the bytes served:
             tags, scripts, navigation and volatile strings are removed before
             hashing, so hashing the source as served will not reproduce it.
             Normalisation is described at https://gxplex.com/methodology; the
             command that recomputes a digest is published at
             https://gxplex.com/verify.
Capture:     https://web.archive.org/web/20260803173946/https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle-scientific-guideline
             (Internet Archive, submitted 2026-08-03, before this observation
             was recorded on 2026-08-09 UTC. NOT a capture of this
             observation.)
Permalink:   https://gxplex.com/observations/ema-ai-reflection#obs-2026-08-09-6
Full record: https://gxplex.com/api/v1/series.jsonl
 HTTP 200 · 65,696 bytes returned direct 2,451 chars eb42a10342ad597462395f790b666b2c47c8b8ff10b10201ca66c02dba3195e9
2026-08-09·7
Cite this observation 
GxPlex observation record ema-ai-reflection 2026-08-09·7
Document:    EMA reflection paper on the use of artificial intelligence in the medicinal product lifecycle
Observed:    2026-08-09 (record 7 of that day)
Answered at: https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle-scientific-guideline
             (requested https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle; the publisher redirected)
Response:    HTTP 200, fetched direct, 65,696 bytes returned
Digest:      SHA-256 eb42a10342ad597462395f790b666b2c47c8b8ff10b10201ca66c02dba3195e9
             2,451 characters of normalised text.
             The digest is of the NORMALISED text, not of the bytes served:
             tags, scripts, navigation and volatile strings are removed before
             hashing, so hashing the source as served will not reproduce it.
             Normalisation is described at https://gxplex.com/methodology; the
             command that recomputes a digest is published at
             https://gxplex.com/verify.
Capture:     https://web.archive.org/web/20260803173946/https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle-scientific-guideline
             (Internet Archive, submitted 2026-08-03, before this observation
             was recorded on 2026-08-09 UTC. NOT a capture of this
             observation.)
Permalink:   https://gxplex.com/observations/ema-ai-reflection#obs-2026-08-09-7
Full record: https://gxplex.com/api/v1/series.jsonl
 HTTP 200 · 65,696 bytes returned direct 2,451 chars eb42a10342ad597462395f790b666b2c47c8b8ff10b10201ca66c02dba3195e9
2026-08-09·8
Cite this observation 
GxPlex observation record ema-ai-reflection 2026-08-09·8
Document:    EMA reflection paper on the use of artificial intelligence in the medicinal product lifecycle
Observed:    2026-08-09 (record 8 of that day)
Answered at: https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle-scientific-guideline
             (requested https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle; the publisher redirected)
Response:    HTTP 200, fetched direct, 65,696 bytes returned
Digest:      SHA-256 eb42a10342ad597462395f790b666b2c47c8b8ff10b10201ca66c02dba3195e9
             2,451 characters of normalised text.
             The digest is of the NORMALISED text, not of the bytes served:
             tags, scripts, navigation and volatile strings are removed before
             hashing, so hashing the source as served will not reproduce it.
             Normalisation is described at https://gxplex.com/methodology; the
             command that recomputes a digest is published at
             https://gxplex.com/verify.
Capture:     https://web.archive.org/web/20260803173946/https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle-scientific-guideline
             (Internet Archive, submitted 2026-08-03, before this observation
             was recorded on 2026-08-09 UTC. NOT a capture of this
             observation.)
Permalink:   https://gxplex.com/observations/ema-ai-reflection#obs-2026-08-09-8
Full record: https://gxplex.com/api/v1/series.jsonl
 HTTP 200 · 65,696 bytes returned direct 2,451 chars eb42a10342ad597462395f790b666b2c47c8b8ff10b10201ca66c02dba3195e9
2026-08-10·1
Cite this observation 
GxPlex observation record ema-ai-reflection 2026-08-10·1
Document:    EMA reflection paper on the use of artificial intelligence in the medicinal product lifecycle
Observed:    2026-08-10 (record 1 of that day)
Answered at: https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle-scientific-guideline
             (requested https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle; the publisher redirected)
Response:    HTTP 200, fetched direct, 65,694 bytes returned
Digest:      SHA-256 eb42a10342ad597462395f790b666b2c47c8b8ff10b10201ca66c02dba3195e9
             2,451 characters of normalised text.
             The digest is of the NORMALISED text, not of the bytes served:
             tags, scripts, navigation and volatile strings are removed before
             hashing, so hashing the source as served will not reproduce it.
             Normalisation is described at https://gxplex.com/methodology; the
             command that recomputes a digest is published at
             https://gxplex.com/verify.
Capture:     https://web.archive.org/web/20260803173946/https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle-scientific-guideline
             (Internet Archive, submitted 2026-08-03, before this observation
             was recorded on 2026-08-10 UTC. NOT a capture of this
             observation.)
Permalink:   https://gxplex.com/observations/ema-ai-reflection#obs-2026-08-10-1
Full record: https://gxplex.com/api/v1/series.jsonl
 HTTP 200 · 65,694 bytes returned direct 2,451 chars eb42a10342ad597462395f790b666b2c47c8b8ff10b10201ca66c02dba3195e9
2026-08-10·2
Cite this observation 
GxPlex observation record ema-ai-reflection 2026-08-10·2
Document:    EMA reflection paper on the use of artificial intelligence in the medicinal product lifecycle
Observed:    2026-08-10 (record 2 of that day)
Answered at: https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle-scientific-guideline
             (requested https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle; the publisher redirected)
Response:    HTTP 200, fetched direct, 64,863 bytes returned
Digest:      SHA-256 863f5ab39635ca89bc0ae1c49ddd75740616ef2970e9651d56e69fca0634ce01
             1,932 characters of normalised text.
             The digest is of the NORMALISED text, not of the bytes served:
             tags, scripts, navigation and volatile strings are removed before
             hashing, so hashing the source as served will not reproduce it.
             Normalisation is described at https://gxplex.com/methodology; the
             command that recomputes a digest is published at
             https://gxplex.com/verify.
Capture:     https://web.archive.org/web/20260620222528/https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle-scientific-guideline
             (Internet Archive, submitted 2026-08-10 — the day this
             observation was recorded, UTC.)
Permalink:   https://gxplex.com/observations/ema-ai-reflection#obs-2026-08-10-2
Full record: https://gxplex.com/api/v1/series.jsonl
 HTTP 200 · 64,863 bytes returned · content changed direct 1,932 chars 863f5ab39635ca89bc0ae1c49ddd75740616ef2970e9651d56e69fca0634ce01
2026-08-10·3
Cite this observation 
GxPlex observation record ema-ai-reflection 2026-08-10·3
Document:    EMA reflection paper on the use of artificial intelligence in the medicinal product lifecycle
Observed:    2026-08-10 (record 3 of that day)
Answered at: https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle-scientific-guideline
             (requested https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle; the publisher redirected)
Response:    HTTP 200, fetched direct, 64,863 bytes returned
Digest:      SHA-256 863f5ab39635ca89bc0ae1c49ddd75740616ef2970e9651d56e69fca0634ce01
             1,932 characters of normalised text.
             The digest is of the NORMALISED text, not of the bytes served:
             tags, scripts, navigation and volatile strings are removed before
             hashing, so hashing the source as served will not reproduce it.
             Normalisation is described at https://gxplex.com/methodology; the
             command that recomputes a digest is published at
             https://gxplex.com/verify.
Capture:     https://web.archive.org/web/20260620222528/https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle-scientific-guideline
             (Internet Archive, submitted 2026-08-10 — the day this
             observation was recorded, UTC.)
Permalink:   https://gxplex.com/observations/ema-ai-reflection#obs-2026-08-10-3
Full record: https://gxplex.com/api/v1/series.jsonl
 HTTP 200 · 64,863 bytes returned direct 1,932 chars 863f5ab39635ca89bc0ae1c49ddd75740616ef2970e9651d56e69fca0634ce01
2026-08-10·4
Cite this observation 
GxPlex observation record ema-ai-reflection 2026-08-10·4
Document:    EMA reflection paper on the use of artificial intelligence in the medicinal product lifecycle
Observed:    2026-08-10 (record 4 of that day)
Answered at: https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle-scientific-guideline
             (requested https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle; the publisher redirected)
Response:    HTTP 200, fetched direct, 64,863 bytes returned
Digest:      SHA-256 863f5ab39635ca89bc0ae1c49ddd75740616ef2970e9651d56e69fca0634ce01
             1,932 characters of normalised text.
             The digest is of the NORMALISED text, not of the bytes served:
             tags, scripts, navigation and volatile strings are removed before
             hashing, so hashing the source as served will not reproduce it.
             Normalisation is described at https://gxplex.com/methodology; the
             command that recomputes a digest is published at
             https://gxplex.com/verify.
Capture:     https://web.archive.org/web/20260620222528/https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle-scientific-guideline
             (Internet Archive, submitted 2026-08-10 — the day this
             observation was recorded, UTC.)
Permalink:   https://gxplex.com/observations/ema-ai-reflection#obs-2026-08-10-4
Full record: https://gxplex.com/api/v1/series.jsonl
 HTTP 200 · 64,863 bytes returned direct 1,932 chars 863f5ab39635ca89bc0ae1c49ddd75740616ef2970e9651d56e69fca0634ce01
2026-08-10·5
Cite this observation 
GxPlex observation record ema-ai-reflection 2026-08-10·5
Document:    EMA reflection paper on the use of artificial intelligence in the medicinal product lifecycle
Observed:    2026-08-10 (record 5 of that day)
Answered at: https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle-scientific-guideline
             (requested https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle; the publisher redirected)
Response:    HTTP 200, fetched direct, 64,863 bytes returned
Digest:      SHA-256 863f5ab39635ca89bc0ae1c49ddd75740616ef2970e9651d56e69fca0634ce01
             1,932 characters of normalised text.
             The digest is of the NORMALISED text, not of the bytes served:
             tags, scripts, navigation and volatile strings are removed before
             hashing, so hashing the source as served will not reproduce it.
             Normalisation is described at https://gxplex.com/methodology; the
             command that recomputes a digest is published at
             https://gxplex.com/verify.
Capture:     https://web.archive.org/web/20260620222528/https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle-scientific-guideline
             (Internet Archive, submitted 2026-08-10 — the day this
             observation was recorded, UTC.)
Permalink:   https://gxplex.com/observations/ema-ai-reflection#obs-2026-08-10-5
Full record: https://gxplex.com/api/v1/series.jsonl
 HTTP 200 · 64,863 bytes returned direct 1,932 chars 863f5ab39635ca89bc0ae1c49ddd75740616ef2970e9651d56e69fca0634ce01
2026-08-10·6
Cite this observation 
GxPlex observation record ema-ai-reflection 2026-08-10·6
Document:    EMA reflection paper on the use of artificial intelligence in the medicinal product lifecycle
Observed:    2026-08-10 (record 6 of that day)
Answered at: https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle-scientific-guideline
             (requested https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle; the publisher redirected)
Response:    HTTP 200, fetched direct, 64,863 bytes returned
Digest:      SHA-256 863f5ab39635ca89bc0ae1c49ddd75740616ef2970e9651d56e69fca0634ce01
             1,932 characters of normalised text.
             The digest is of the NORMALISED text, not of the bytes served:
             tags, scripts, navigation and volatile strings are removed before
             hashing, so hashing the source as served will not reproduce it.
             Normalisation is described at https://gxplex.com/methodology; the
             command that recomputes a digest is published at
             https://gxplex.com/verify.
Capture:     https://web.archive.org/web/20260620222528/https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle-scientific-guideline
             (Internet Archive, submitted 2026-08-10, before this observation
             was recorded on 2026-08-11 UTC. NOT a capture of this
             observation.)
Permalink:   https://gxplex.com/observations/ema-ai-reflection#obs-2026-08-10-6
Full record: https://gxplex.com/api/v1/series.jsonl
 HTTP 200 · 64,863 bytes returned direct 1,932 chars 863f5ab39635ca89bc0ae1c49ddd75740616ef2970e9651d56e69fca0634ce01
2026-08-11·1
Cite this observation 
GxPlex observation record ema-ai-reflection 2026-08-11·1
Document:    EMA reflection paper on the use of artificial intelligence in the medicinal product lifecycle
Observed:    2026-08-11 (record 1 of that day)
Answered at: https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle-scientific-guideline
             (requested https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle; the publisher redirected)
Response:    HTTP 200, fetched direct, 64,861 bytes returned
Digest:      SHA-256 863f5ab39635ca89bc0ae1c49ddd75740616ef2970e9651d56e69fca0634ce01
             1,932 characters of normalised text.
             The digest is of the NORMALISED text, not of the bytes served:
             tags, scripts, navigation and volatile strings are removed before
             hashing, so hashing the source as served will not reproduce it.
             Normalisation is described at https://gxplex.com/methodology; the
             command that recomputes a digest is published at
             https://gxplex.com/verify.
Capture:     https://web.archive.org/web/20260620222528/https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle-scientific-guideline
             (Internet Archive, submitted 2026-08-10, before this observation
             was recorded on 2026-08-11 UTC. NOT a capture of this
             observation.)
Permalink:   https://gxplex.com/observations/ema-ai-reflection#obs-2026-08-11-1
Full record: https://gxplex.com/api/v1/series.jsonl
 HTTP 200 · 64,861 bytes returned direct 1,932 chars 863f5ab39635ca89bc0ae1c49ddd75740616ef2970e9651d56e69fca0634ce01
2026-08-11·2
Cite this observation 
GxPlex observation record ema-ai-reflection 2026-08-11·2
Document:    EMA reflection paper on the use of artificial intelligence in the medicinal product lifecycle
Observed:    2026-08-11 (record 2 of that day)
Answered at: https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle-scientific-guideline
             (requested https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle; the publisher redirected)
Response:    HTTP 200, fetched direct, 65,694 bytes returned
Digest:      SHA-256 eb42a10342ad597462395f790b666b2c47c8b8ff10b10201ca66c02dba3195e9
             2,451 characters of normalised text.
             The digest is of the NORMALISED text, not of the bytes served:
             tags, scripts, navigation and volatile strings are removed before
             hashing, so hashing the source as served will not reproduce it.
             Normalisation is described at https://gxplex.com/methodology; the
             command that recomputes a digest is published at
             https://gxplex.com/verify.
Capture:     https://web.archive.org/web/20260620222528/https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle-scientific-guideline
             (Internet Archive, submitted 2026-08-10, before this observation
             was recorded on 2026-08-12 UTC. NOT a capture of this
             observation.)
Permalink:   https://gxplex.com/observations/ema-ai-reflection#obs-2026-08-11-2
Full record: https://gxplex.com/api/v1/series.jsonl
 HTTP 200 · 65,694 bytes returned · content changed direct 2,451 chars eb42a10342ad597462395f790b666b2c47c8b8ff10b10201ca66c02dba3195e9
2026-08-11·3
Cite this observation 
GxPlex observation record ema-ai-reflection 2026-08-11·3
Document:    EMA reflection paper on the use of artificial intelligence in the medicinal product lifecycle
Observed:    2026-08-11 (record 3 of that day)
Answered at: https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle-scientific-guideline
             (requested https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle; the publisher redirected)
Response:    HTTP 200, fetched direct, 65,694 bytes returned
Digest:      SHA-256 eb42a10342ad597462395f790b666b2c47c8b8ff10b10201ca66c02dba3195e9
             2,451 characters of normalised text.
             The digest is of the NORMALISED text, not of the bytes served:
             tags, scripts, navigation and volatile strings are removed before
             hashing, so hashing the source as served will not reproduce it.
             Normalisation is described at https://gxplex.com/methodology; the
             command that recomputes a digest is published at
             https://gxplex.com/verify.
Capture:     https://web.archive.org/web/20260620222528/https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle-scientific-guideline
             (Internet Archive, submitted 2026-08-10, before this observation
             was recorded on 2026-08-12 UTC. NOT a capture of this
             observation.)
Permalink:   https://gxplex.com/observations/ema-ai-reflection#obs-2026-08-11-3
Full record: https://gxplex.com/api/v1/series.jsonl
 HTTP 200 · 65,694 bytes returned direct 2,451 chars eb42a10342ad597462395f790b666b2c47c8b8ff10b10201ca66c02dba3195e9
2026-08-12·1
Cite this observation 
GxPlex observation record ema-ai-reflection 2026-08-12·1
Document:    EMA reflection paper on the use of artificial intelligence in the medicinal product lifecycle
Observed:    2026-08-12 (record 1 of that day)
Answered at: https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle-scientific-guideline
             (requested https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle; the publisher redirected)
Response:    HTTP 200, fetched direct, 65,694 bytes returned
Digest:      SHA-256 eb42a10342ad597462395f790b666b2c47c8b8ff10b10201ca66c02dba3195e9
             2,451 characters of normalised text.
             The digest is of the NORMALISED text, not of the bytes served:
             tags, scripts, navigation and volatile strings are removed before
             hashing, so hashing the source as served will not reproduce it.
             Normalisation is described at https://gxplex.com/methodology; the
             command that recomputes a digest is published at
             https://gxplex.com/verify.
Capture:     https://web.archive.org/web/20260620222528/https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle-scientific-guideline
             (Internet Archive, submitted 2026-08-10, before this observation
             was recorded on 2026-08-12 UTC. NOT a capture of this
             observation.)
Permalink:   https://gxplex.com/observations/ema-ai-reflection#obs-2026-08-12-1
Full record: https://gxplex.com/api/v1/series.jsonl
 HTTP 200 · 65,694 bytes returned direct 2,451 chars eb42a10342ad597462395f790b666b2c47c8b8ff10b10201ca66c02dba3195e9
2026-08-12·2
Cite this observation 
GxPlex observation record ema-ai-reflection 2026-08-12·2
Document:    EMA reflection paper on the use of artificial intelligence in the medicinal product lifecycle
Observed:    2026-08-12 (record 2 of that day)
Answered at: https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle-scientific-guideline
             (requested https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle; the publisher redirected)
Response:    HTTP 200, fetched direct, 65,694 bytes returned
Digest:      SHA-256 eb42a10342ad597462395f790b666b2c47c8b8ff10b10201ca66c02dba3195e9
             2,451 characters of normalised text.
             The digest is of the NORMALISED text, not of the bytes served:
             tags, scripts, navigation and volatile strings are removed before
             hashing, so hashing the source as served will not reproduce it.
             Normalisation is described at https://gxplex.com/methodology; the
             command that recomputes a digest is published at
             https://gxplex.com/verify.
Capture:     https://web.archive.org/web/20260620222528/https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle-scientific-guideline
             (Internet Archive, submitted 2026-08-10, before this observation
             was recorded on 2026-08-12 UTC. NOT a capture of this
             observation.)
Permalink:   https://gxplex.com/observations/ema-ai-reflection#obs-2026-08-12-2
Full record: https://gxplex.com/api/v1/series.jsonl
 HTTP 200 · 65,694 bytes returned direct 2,451 chars eb42a10342ad597462395f790b666b2c47c8b8ff10b10201ca66c02dba3195e9
2026-08-12·3
Cite this observation 
GxPlex observation record ema-ai-reflection 2026-08-12·3
Document:    EMA reflection paper on the use of artificial intelligence in the medicinal product lifecycle
Observed:    2026-08-12 (record 3 of that day)
Answered at: https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle-scientific-guideline
             (requested https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle; the publisher redirected)
Response:    HTTP 200, fetched direct, 65,694 bytes returned
Digest:      SHA-256 eb42a10342ad597462395f790b666b2c47c8b8ff10b10201ca66c02dba3195e9
             2,451 characters of normalised text.
             The digest is of the NORMALISED text, not of the bytes served:
             tags, scripts, navigation and volatile strings are removed before
             hashing, so hashing the source as served will not reproduce it.
             Normalisation is described at https://gxplex.com/methodology; the
             command that recomputes a digest is published at
             https://gxplex.com/verify.
Capture:     https://web.archive.org/web/20260620222528/https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle-scientific-guideline
             (Internet Archive, submitted 2026-08-10, before this observation
             was recorded on 2026-08-12 UTC. NOT a capture of this
             observation.)
Permalink:   https://gxplex.com/observations/ema-ai-reflection#obs-2026-08-12-3
Full record: https://gxplex.com/api/v1/series.jsonl
 HTTP 200 · 65,694 bytes returned direct 2,451 chars eb42a10342ad597462395f790b666b2c47c8b8ff10b10201ca66c02dba3195e9
2026-08-12·4
Cite this observation 
GxPlex observation record ema-ai-reflection 2026-08-12·4
Document:    EMA reflection paper on the use of artificial intelligence in the medicinal product lifecycle
Observed:    2026-08-12 (record 4 of that day)
Answered at: https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle-scientific-guideline
             (requested https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle; the publisher redirected)
Response:    HTTP 200, fetched direct, 65,694 bytes returned
Digest:      SHA-256 eb42a10342ad597462395f790b666b2c47c8b8ff10b10201ca66c02dba3195e9
             2,451 characters of normalised text.
             The digest is of the NORMALISED text, not of the bytes served:
             tags, scripts, navigation and volatile strings are removed before
             hashing, so hashing the source as served will not reproduce it.
             Normalisation is described at https://gxplex.com/methodology; the
             command that recomputes a digest is published at
             https://gxplex.com/verify.
Capture:     https://web.archive.org/web/20260620222528/https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle-scientific-guideline
             (Internet Archive, submitted 2026-08-10, before this observation
             was recorded on 2026-08-12 UTC. NOT a capture of this
             observation.)
Permalink:   https://gxplex.com/observations/ema-ai-reflection#obs-2026-08-12-4
Full record: https://gxplex.com/api/v1/series.jsonl
 HTTP 200 · 65,694 bytes returned direct 2,451 chars eb42a10342ad597462395f790b666b2c47c8b8ff10b10201ca66c02dba3195e9
2026-08-12·5
Cite this observation 
GxPlex observation record ema-ai-reflection 2026-08-12·5
Document:    EMA reflection paper on the use of artificial intelligence in the medicinal product lifecycle
Observed:    2026-08-12 (record 5 of that day)
Answered at: https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle-scientific-guideline
             (requested https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle; the publisher redirected)
Response:    HTTP 200, fetched direct, 65,694 bytes returned
Digest:      SHA-256 eb42a10342ad597462395f790b666b2c47c8b8ff10b10201ca66c02dba3195e9
             2,451 characters of normalised text.
             The digest is of the NORMALISED text, not of the bytes served:
             tags, scripts, navigation and volatile strings are removed before
             hashing, so hashing the source as served will not reproduce it.
             Normalisation is described at https://gxplex.com/methodology; the
             command that recomputes a digest is published at
             https://gxplex.com/verify.
Capture:     https://web.archive.org/web/20260620222528/https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle-scientific-guideline
             (Internet Archive, submitted 2026-08-10, before this observation
             was recorded on 2026-08-12 UTC. NOT a capture of this
             observation.)
Permalink:   https://gxplex.com/observations/ema-ai-reflection#obs-2026-08-12-5
Full record: https://gxplex.com/api/v1/series.jsonl
 HTTP 200 · 65,694 bytes returned direct 2,451 chars eb42a10342ad597462395f790b666b2c47c8b8ff10b10201ca66c02dba3195e9
2026-08-12·6
Cite this observation 
GxPlex observation record ema-ai-reflection 2026-08-12·6
Document:    EMA reflection paper on the use of artificial intelligence in the medicinal product lifecycle
Observed:    2026-08-12 (record 6 of that day)
Answered at: https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle-scientific-guideline
             (requested https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle; the publisher redirected)
Response:    HTTP 200, fetched direct, 65,698 bytes returned
Digest:      SHA-256 eb42a10342ad597462395f790b666b2c47c8b8ff10b10201ca66c02dba3195e9
             2,451 characters of normalised text.
             The digest is of the NORMALISED text, not of the bytes served:
             tags, scripts, navigation and volatile strings are removed before
             hashing, so hashing the source as served will not reproduce it.
             Normalisation is described at https://gxplex.com/methodology; the
             command that recomputes a digest is published at
             https://gxplex.com/verify.
Capture:     https://web.archive.org/web/20260620222528/https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle-scientific-guideline
             (Internet Archive, submitted 2026-08-10, before this observation
             was recorded on 2026-08-12 UTC. NOT a capture of this
             observation.)
Permalink:   https://gxplex.com/observations/ema-ai-reflection#obs-2026-08-12-6
Full record: https://gxplex.com/api/v1/series.jsonl
 HTTP 200 · 65,698 bytes returned direct 2,451 chars eb42a10342ad597462395f790b666b2c47c8b8ff10b10201ca66c02dba3195e9
2026-08-12·7
Cite this observation 
GxPlex observation record ema-ai-reflection 2026-08-12·7
Document:    EMA reflection paper on the use of artificial intelligence in the medicinal product lifecycle
Observed:    2026-08-12 (record 7 of that day)
Answered at: https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle-scientific-guideline
             (requested https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle; the publisher redirected)
Response:    HTTP 200, fetched direct, 65,698 bytes returned
Digest:      SHA-256 eb42a10342ad597462395f790b666b2c47c8b8ff10b10201ca66c02dba3195e9
             2,451 characters of normalised text.
             The digest is of the NORMALISED text, not of the bytes served:
             tags, scripts, navigation and volatile strings are removed before
             hashing, so hashing the source as served will not reproduce it.
             Normalisation is described at https://gxplex.com/methodology; the
             command that recomputes a digest is published at
             https://gxplex.com/verify.
Capture:     https://web.archive.org/web/20260620222528/https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle-scientific-guideline
             (Internet Archive, submitted 2026-08-10, before this observation
             was recorded on 2026-08-12 UTC. NOT a capture of this
             observation.)
Permalink:   https://gxplex.com/observations/ema-ai-reflection#obs-2026-08-12-7
Full record: https://gxplex.com/api/v1/series.jsonl
 HTTP 200 · 65,698 bytes returned direct 2,451 chars eb42a10342ad597462395f790b666b2c47c8b8ff10b10201ca66c02dba3195e9
2026-08-12·8
Cite this observation 
GxPlex observation record ema-ai-reflection 2026-08-12·8
Document:    EMA reflection paper on the use of artificial intelligence in the medicinal product lifecycle
Observed:    2026-08-12 (record 8 of that day)
Answered at: https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle-scientific-guideline
             (requested https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle; the publisher redirected)
Response:    HTTP 200, fetched direct, 64,863 bytes returned
Digest:      SHA-256 863f5ab39635ca89bc0ae1c49ddd75740616ef2970e9651d56e69fca0634ce01
             1,932 characters of normalised text.
             The digest is of the NORMALISED text, not of the bytes served:
             tags, scripts, navigation and volatile strings are removed before
             hashing, so hashing the source as served will not reproduce it.
             Normalisation is described at https://gxplex.com/methodology; the
             command that recomputes a digest is published at
             https://gxplex.com/verify.
Capture:     https://web.archive.org/web/20260812184152/https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle-scientific-guideline
             (Internet Archive, submitted 2026-08-12 — the day this
             observation was recorded, UTC.)
Permalink:   https://gxplex.com/observations/ema-ai-reflection#obs-2026-08-12-8
Full record: https://gxplex.com/api/v1/series.jsonl
 HTTP 200 · 64,863 bytes returned · content changed direct 1,932 chars 863f5ab39635ca89bc0ae1c49ddd75740616ef2970e9651d56e69fca0634ce01
2026-08-12·9
Cite this observation 
GxPlex observation record ema-ai-reflection 2026-08-12·9
Document:    EMA reflection paper on the use of artificial intelligence in the medicinal product lifecycle
Observed:    2026-08-12 (record 9 of that day)
Answered at: https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle-scientific-guideline
             (requested https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle; the publisher redirected)
Response:    HTTP 200, fetched direct, 64,863 bytes returned
Digest:      SHA-256 863f5ab39635ca89bc0ae1c49ddd75740616ef2970e9651d56e69fca0634ce01
             1,932 characters of normalised text.
             The digest is of the NORMALISED text, not of the bytes served:
             tags, scripts, navigation and volatile strings are removed before
             hashing, so hashing the source as served will not reproduce it.
             Normalisation is described at https://gxplex.com/methodology; the
             command that recomputes a digest is published at
             https://gxplex.com/verify.
Capture:     https://web.archive.org/web/20260812184152/https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle-scientific-guideline
             (Internet Archive, submitted 2026-08-12 — the day this
             observation was recorded, UTC.)
Permalink:   https://gxplex.com/observations/ema-ai-reflection#obs-2026-08-12-9
Full record: https://gxplex.com/api/v1/series.jsonl
 HTTP 200 · 64,863 bytes returned direct 1,932 chars 863f5ab39635ca89bc0ae1c49ddd75740616ef2970e9651d56e69fca0634ce01
2026-08-13·1
Cite this observation 
GxPlex observation record ema-ai-reflection 2026-08-13·1
Document:    EMA reflection paper on the use of artificial intelligence in the medicinal product lifecycle
Observed:    2026-08-13 (record 1 of that day)
Answered at: https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle-scientific-guideline
             (requested https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle; the publisher redirected)
Response:    HTTP 200, fetched direct, 65,698 bytes returned
Digest:      SHA-256 eb42a10342ad597462395f790b666b2c47c8b8ff10b10201ca66c02dba3195e9
             2,451 characters of normalised text.
             The digest is of the NORMALISED text, not of the bytes served:
             tags, scripts, navigation and volatile strings are removed before
             hashing, so hashing the source as served will not reproduce it.
             Normalisation is described at https://gxplex.com/methodology; the
             command that recomputes a digest is published at
             https://gxplex.com/verify.
Capture:     https://web.archive.org/web/20260813080015/https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle-scientific-guideline
             (Internet Archive, submitted 2026-08-13 — the day this
             observation was recorded, UTC.)
Permalink:   https://gxplex.com/observations/ema-ai-reflection#obs-2026-08-13-1
Full record: https://gxplex.com/api/v1/series.jsonl
 HTTP 200 · 65,698 bytes returned · content changed direct 2,451 chars eb42a10342ad597462395f790b666b2c47c8b8ff10b10201ca66c02dba3195e9
2026-08-14·1
Cite this observation 
GxPlex observation record ema-ai-reflection 2026-08-14·1
Document:    EMA reflection paper on the use of artificial intelligence in the medicinal product lifecycle
Observed:    2026-08-14 (record 1 of that day)
Answered at: https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle-scientific-guideline
             (requested https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle; the publisher redirected)
Response:    HTTP 200, fetched direct, 64,860 bytes returned
Digest:      SHA-256 863f5ab39635ca89bc0ae1c49ddd75740616ef2970e9651d56e69fca0634ce01
             1,932 characters of normalised text.
             The digest is of the NORMALISED text, not of the bytes served:
             tags, scripts, navigation and volatile strings are removed before
             hashing, so hashing the source as served will not reproduce it.
             Normalisation is described at https://gxplex.com/methodology; the
             command that recomputes a digest is published at
             https://gxplex.com/verify.
Capture:     https://web.archive.org/web/20260814080017/https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle-scientific-guideline
             (Internet Archive, submitted 2026-08-14 — the day this
             observation was recorded, UTC.)
Permalink:   https://gxplex.com/observations/ema-ai-reflection#obs-2026-08-14-1
Full record: https://gxplex.com/api/v1/series.jsonl
 HTTP 200 · 64,860 bytes returned · content changed direct 1,932 chars 863f5ab39635ca89bc0ae1c49ddd75740616ef2970e9651d56e69fca0634ce01
2026-08-15·1
Cite this observation 
GxPlex observation record ema-ai-reflection 2026-08-15·1
Document:    EMA reflection paper on the use of artificial intelligence in the medicinal product lifecycle
Observed:    2026-08-15 (record 1 of that day)
Answered at: https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle-scientific-guideline
             (requested https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle; the publisher redirected)
Response:    HTTP 200, fetched direct, 65,984 bytes returned
Digest:      SHA-256 eb42a10342ad597462395f790b666b2c47c8b8ff10b10201ca66c02dba3195e9
             2,451 characters of normalised text.
             The digest is of the NORMALISED text, not of the bytes served:
             tags, scripts, navigation and volatile strings are removed before
             hashing, so hashing the source as served will not reproduce it.
             Normalisation is described at https://gxplex.com/methodology; the
             command that recomputes a digest is published at
             https://gxplex.com/verify.
Capture:     https://web.archive.org/web/20260814080017/https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle-scientific-guideline
             (Internet Archive, submitted 2026-08-14, before this observation
             was recorded on 2026-08-15 UTC. NOT a capture of this
             observation.)
Permalink:   https://gxplex.com/observations/ema-ai-reflection#obs-2026-08-15-1
Full record: https://gxplex.com/api/v1/series.jsonl
 HTTP 200 · 65,984 bytes returned · content changed direct 2,451 chars eb42a10342ad597462395f790b666b2c47c8b8ff10b10201ca66c02dba3195e9
2026-08-15·2
Cite this observation 
GxPlex observation record ema-ai-reflection 2026-08-15·2
Document:    EMA reflection paper on the use of artificial intelligence in the medicinal product lifecycle
Observed:    2026-08-15 (record 2 of that day)
Answered at: https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle-scientific-guideline
             (requested https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle; the publisher redirected)
Response:    HTTP 200, fetched direct, 65,984 bytes returned
Digest:      SHA-256 eb42a10342ad597462395f790b666b2c47c8b8ff10b10201ca66c02dba3195e9
             2,451 characters of normalised text.
             The digest is of the NORMALISED text, not of the bytes served:
             tags, scripts, navigation and volatile strings are removed before
             hashing, so hashing the source as served will not reproduce it.
             Normalisation is described at https://gxplex.com/methodology; the
             command that recomputes a digest is published at
             https://gxplex.com/verify.
Capture:     https://web.archive.org/web/20260814080017/https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle-scientific-guideline
             (Internet Archive, submitted 2026-08-14, before this observation
             was recorded on 2026-08-15 UTC. NOT a capture of this
             observation.)
Permalink:   https://gxplex.com/observations/ema-ai-reflection#obs-2026-08-15-2
Full record: https://gxplex.com/api/v1/series.jsonl
 HTTP 200 · 65,984 bytes returned direct 2,451 chars eb42a10342ad597462395f790b666b2c47c8b8ff10b10201ca66c02dba3195e9
2026-08-15·3
Cite this observation 
GxPlex observation record ema-ai-reflection 2026-08-15·3
Document:    EMA reflection paper on the use of artificial intelligence in the medicinal product lifecycle
Observed:    2026-08-15 (record 3 of that day)
Answered at: https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle-scientific-guideline
             (requested https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle; the publisher redirected)
Response:    HTTP 200, fetched direct, 65,984 bytes returned
Digest:      SHA-256 eb42a10342ad597462395f790b666b2c47c8b8ff10b10201ca66c02dba3195e9
             2,451 characters of normalised text.
             The digest is of the NORMALISED text, not of the bytes served:
             tags, scripts, navigation and volatile strings are removed before
             hashing, so hashing the source as served will not reproduce it.
             Normalisation is described at https://gxplex.com/methodology; the
             command that recomputes a digest is published at
             https://gxplex.com/verify.
Capture:     https://web.archive.org/web/20260814080017/https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle-scientific-guideline
             (Internet Archive, submitted 2026-08-14, before this observation
             was recorded on 2026-08-15 UTC. NOT a capture of this
             observation.)
Permalink:   https://gxplex.com/observations/ema-ai-reflection#obs-2026-08-15-3
Full record: https://gxplex.com/api/v1/series.jsonl
 HTTP 200 · 65,984 bytes returned direct 2,451 chars eb42a10342ad597462395f790b666b2c47c8b8ff10b10201ca66c02dba3195e9
2026-08-16·1
Cite this observation 
GxPlex observation record ema-ai-reflection 2026-08-16·1
Document:    EMA reflection paper on the use of artificial intelligence in the medicinal product lifecycle
Observed:    2026-08-16 (record 1 of that day)
Answered at: https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle-scientific-guideline
             (requested https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle; the publisher redirected)
Response:    HTTP 200, fetched direct, 65,984 bytes returned
Digest:      SHA-256 eb42a10342ad597462395f790b666b2c47c8b8ff10b10201ca66c02dba3195e9
             2,451 characters of normalised text.
             The digest is of the NORMALISED text, not of the bytes served:
             tags, scripts, navigation and volatile strings are removed before
             hashing, so hashing the source as served will not reproduce it.
             Normalisation is described at https://gxplex.com/methodology; the
             command that recomputes a digest is published at
             https://gxplex.com/verify.
Capture:     https://web.archive.org/web/20260814080017/https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle-scientific-guideline
             (Internet Archive, submitted 2026-08-14, before this observation
             was recorded on 2026-08-16 UTC. NOT a capture of this
             observation.)
Permalink:   https://gxplex.com/observations/ema-ai-reflection#obs-2026-08-16-1
Full record: https://gxplex.com/api/v1/series.jsonl
 HTTP 200 · 65,984 bytes returned direct 2,451 chars eb42a10342ad597462395f790b666b2c47c8b8ff10b10201ca66c02dba3195e9
2026-08-16·2
Cite this observation 
GxPlex observation record ema-ai-reflection 2026-08-16·2
Document:    EMA reflection paper on the use of artificial intelligence in the medicinal product lifecycle
Observed:    2026-08-16 (record 2 of that day)
Answered at: https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle-scientific-guideline
             (requested https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle; the publisher redirected)
Response:    HTTP 200, fetched direct, 65,984 bytes returned
Digest:      SHA-256 eb42a10342ad597462395f790b666b2c47c8b8ff10b10201ca66c02dba3195e9
             2,451 characters of normalised text.
             The digest is of the NORMALISED text, not of the bytes served:
             tags, scripts, navigation and volatile strings are removed before
             hashing, so hashing the source as served will not reproduce it.
             Normalisation is described at https://gxplex.com/methodology; the
             command that recomputes a digest is published at
             https://gxplex.com/verify.
Capture:     https://web.archive.org/web/20260814080017/https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle-scientific-guideline
             (Internet Archive, submitted 2026-08-14, before this observation
             was recorded on 2026-08-16 UTC. NOT a capture of this
             observation.)
Permalink:   https://gxplex.com/observations/ema-ai-reflection#obs-2026-08-16-2
Full record: https://gxplex.com/api/v1/series.jsonl
 HTTP 200 · 65,984 bytes returned direct 2,451 chars eb42a10342ad597462395f790b666b2c47c8b8ff10b10201ca66c02dba3195e9
2026-08-16·3
Cite this observation 
GxPlex observation record ema-ai-reflection 2026-08-16·3
Document:    EMA reflection paper on the use of artificial intelligence in the medicinal product lifecycle
Observed:    2026-08-16 (record 3 of that day)
Answered at: https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle-scientific-guideline
             (requested https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle; the publisher redirected)
Response:    HTTP 200, fetched direct, 65,984 bytes returned
Digest:      SHA-256 eb42a10342ad597462395f790b666b2c47c8b8ff10b10201ca66c02dba3195e9
             2,451 characters of normalised text.
             The digest is of the NORMALISED text, not of the bytes served:
             tags, scripts, navigation and volatile strings are removed before
             hashing, so hashing the source as served will not reproduce it.
             Normalisation is described at https://gxplex.com/methodology; the
             command that recomputes a digest is published at
             https://gxplex.com/verify.
Capture:     https://web.archive.org/web/20260814080017/https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle-scientific-guideline
             (Internet Archive, submitted 2026-08-14, before this observation
             was recorded on 2026-08-16 UTC. NOT a capture of this
             observation.)
Permalink:   https://gxplex.com/observations/ema-ai-reflection#obs-2026-08-16-3
Full record: https://gxplex.com/api/v1/series.jsonl
 HTTP 200 · 65,984 bytes returned direct 2,451 chars eb42a10342ad597462395f790b666b2c47c8b8ff10b10201ca66c02dba3195e9
2026-08-16·4
Cite this observation 
GxPlex observation record ema-ai-reflection 2026-08-16·4
Document:    EMA reflection paper on the use of artificial intelligence in the medicinal product lifecycle
Observed:    2026-08-16 (record 4 of that day)
Answered at: https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle-scientific-guideline
             (requested https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle; the publisher redirected)
Response:    HTTP 200, fetched direct, 65,984 bytes returned
Digest:      SHA-256 eb42a10342ad597462395f790b666b2c47c8b8ff10b10201ca66c02dba3195e9
             2,451 characters of normalised text.
             The digest is of the NORMALISED text, not of the bytes served:
             tags, scripts, navigation and volatile strings are removed before
             hashing, so hashing the source as served will not reproduce it.
             Normalisation is described at https://gxplex.com/methodology; the
             command that recomputes a digest is published at
             https://gxplex.com/verify.
Capture:     https://web.archive.org/web/20260814080017/https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle-scientific-guideline
             (Internet Archive, submitted 2026-08-14, before this observation
             was recorded on 2026-08-16 UTC. NOT a capture of this
             observation.)
Permalink:   https://gxplex.com/observations/ema-ai-reflection#obs-2026-08-16-4
Full record: https://gxplex.com/api/v1/series.jsonl
 HTTP 200 · 65,984 bytes returned direct 2,451 chars eb42a10342ad597462395f790b666b2c47c8b8ff10b10201ca66c02dba3195e9
2026-08-17·1
Cite this observation 
GxPlex observation record ema-ai-reflection 2026-08-17·1
Document:    EMA reflection paper on the use of artificial intelligence in the medicinal product lifecycle
Observed:    2026-08-17 (record 1 of that day)
Answered at: https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle-scientific-guideline
             (requested https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle; the publisher redirected)
Response:    HTTP 200, fetched direct, 65,697 bytes returned
Digest:      SHA-256 eb42a10342ad597462395f790b666b2c47c8b8ff10b10201ca66c02dba3195e9
             2,451 characters of normalised text.
             The digest is of the NORMALISED text, not of the bytes served:
             tags, scripts, navigation and volatile strings are removed before
             hashing, so hashing the source as served will not reproduce it.
             Normalisation is described at https://gxplex.com/methodology; the
             command that recomputes a digest is published at
             https://gxplex.com/verify.
Capture:     https://web.archive.org/web/20260814080017/https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle-scientific-guideline
             (Internet Archive, submitted 2026-08-14, before this observation
             was recorded on 2026-08-17 UTC. NOT a capture of this
             observation.)
Permalink:   https://gxplex.com/observations/ema-ai-reflection#obs-2026-08-17-1
Full record: https://gxplex.com/api/v1/series.jsonl
 HTTP 200 · 65,697 bytes returned direct 2,451 chars eb42a10342ad597462395f790b666b2c47c8b8ff10b10201ca66c02dba3195e9
2026-08-18·1
Cite this observation 
GxPlex observation record ema-ai-reflection 2026-08-18·1
Document:    EMA reflection paper on the use of artificial intelligence in the medicinal product lifecycle
Observed:    2026-08-18 (record 1 of that day)
Answered at: https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle-scientific-guideline
             (requested https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle; the publisher redirected)
Response:    HTTP 200, fetched direct, 65,696 bytes returned
Digest:      SHA-256 eb42a10342ad597462395f790b666b2c47c8b8ff10b10201ca66c02dba3195e9
             2,451 characters of normalised text.
             The digest is of the NORMALISED text, not of the bytes served:
             tags, scripts, navigation and volatile strings are removed before
             hashing, so hashing the source as served will not reproduce it.
             Normalisation is described at https://gxplex.com/methodology; the
             command that recomputes a digest is published at
             https://gxplex.com/verify.
Capture:     https://web.archive.org/web/20260814080017/https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle-scientific-guideline
             (Internet Archive, submitted 2026-08-14, before this observation
             was recorded on 2026-08-18 UTC. NOT a capture of this
             observation.)
Permalink:   https://gxplex.com/observations/ema-ai-reflection#obs-2026-08-18-1
Full record: https://gxplex.com/api/v1/series.jsonl
 HTTP 200 · 65,696 bytes returned direct 2,451 chars eb42a10342ad597462395f790b666b2c47c8b8ff10b10201ca66c02dba3195e9
2026-08-19·1
Cite this observation 
GxPlex observation record ema-ai-reflection 2026-08-19·1
Document:    EMA reflection paper on the use of artificial intelligence in the medicinal product lifecycle
Observed:    2026-08-19 (record 1 of that day)
Answered at: https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle-scientific-guideline
             (requested https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle; the publisher redirected)
Response:    HTTP 200, fetched direct, 65,694 bytes returned
Digest:      SHA-256 eb42a10342ad597462395f790b666b2c47c8b8ff10b10201ca66c02dba3195e9
             2,451 characters of normalised text.
             The digest is of the NORMALISED text, not of the bytes served:
             tags, scripts, navigation and volatile strings are removed before
             hashing, so hashing the source as served will not reproduce it.
             Normalisation is described at https://gxplex.com/methodology; the
             command that recomputes a digest is published at
             https://gxplex.com/verify.
Capture:     https://web.archive.org/web/20260814080017/https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle-scientific-guideline
             (Internet Archive, submitted 2026-08-14, before this observation
             was recorded on 2026-08-19 UTC. NOT a capture of this
             observation.)
Permalink:   https://gxplex.com/observations/ema-ai-reflection#obs-2026-08-19-1
Full record: https://gxplex.com/api/v1/series.jsonl
 HTTP 200 · 65,694 bytes returned direct 2,451 chars eb42a10342ad597462395f790b666b2c47c8b8ff10b10201ca66c02dba3195e9
2026-08-20·1
Cite this observation 
GxPlex observation record ema-ai-reflection 2026-08-20·1
Document:    EMA reflection paper on the use of artificial intelligence in the medicinal product lifecycle
Observed:    2026-08-20 (record 1 of that day)
Answered at: https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle-scientific-guideline
             (requested https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle; the publisher redirected)
Response:    HTTP 200, fetched direct, 65,694 bytes returned
Digest:      SHA-256 eb42a10342ad597462395f790b666b2c47c8b8ff10b10201ca66c02dba3195e9
             2,451 characters of normalised text.
             The digest is of the NORMALISED text, not of the bytes served:
             tags, scripts, navigation and volatile strings are removed before
             hashing, so hashing the source as served will not reproduce it.
             Normalisation is described at https://gxplex.com/methodology; the
             command that recomputes a digest is published at
             https://gxplex.com/verify.
Capture:     https://web.archive.org/web/20260814080017/https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle-scientific-guideline
             (Internet Archive, submitted 2026-08-14, before this observation
             was recorded on 2026-08-20 UTC. NOT a capture of this
             observation.)
Permalink:   https://gxplex.com/observations/ema-ai-reflection#obs-2026-08-20-1
Full record: https://gxplex.com/api/v1/series.jsonl
 HTTP 200 · 65,694 bytes returned direct 2,451 chars eb42a10342ad597462395f790b666b2c47c8b8ff10b10201ca66c02dba3195e9
2026-08-21·1
Cite this observation 
GxPlex observation record ema-ai-reflection 2026-08-21·1
Document:    EMA reflection paper on the use of artificial intelligence in the medicinal product lifecycle
Observed:    2026-08-21 (record 1 of that day)
Answered at: https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle-scientific-guideline
             (requested https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle; the publisher redirected)
Response:    HTTP 200, fetched direct, 65,698 bytes returned
Digest:      SHA-256 eb42a10342ad597462395f790b666b2c47c8b8ff10b10201ca66c02dba3195e9
             2,451 characters of normalised text.
             The digest is of the NORMALISED text, not of the bytes served:
             tags, scripts, navigation and volatile strings are removed before
             hashing, so hashing the source as served will not reproduce it.
             Normalisation is described at https://gxplex.com/methodology; the
             command that recomputes a digest is published at
             https://gxplex.com/verify.
Capture:     https://web.archive.org/web/20260814080017/https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle-scientific-guideline
             (Internet Archive, submitted 2026-08-14, before this observation
             was recorded on 2026-08-21 UTC. NOT a capture of this
             observation.)
Permalink:   https://gxplex.com/observations/ema-ai-reflection#obs-2026-08-21-1
Full record: https://gxplex.com/api/v1/series.jsonl
 HTTP 200 · 65,698 bytes returned direct 2,451 chars eb42a10342ad597462395f790b666b2c47c8b8ff10b10201ca66c02dba3195e9
2026-08-22·1
Cite this observation 
GxPlex observation record ema-ai-reflection 2026-08-22·1
Document:    EMA reflection paper on the use of artificial intelligence in the medicinal product lifecycle
Observed:    2026-08-22 (record 1 of that day)
Answered at: https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle-scientific-guideline
             (requested https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle; the publisher redirected)
Response:    HTTP 200, fetched direct, 64,863 bytes returned
Digest:      SHA-256 863f5ab39635ca89bc0ae1c49ddd75740616ef2970e9651d56e69fca0634ce01
             1,932 characters of normalised text.
             The digest is of the NORMALISED text, not of the bytes served:
             tags, scripts, navigation and volatile strings are removed before
             hashing, so hashing the source as served will not reproduce it.
             Normalisation is described at https://gxplex.com/methodology; the
             command that recomputes a digest is published at
             https://gxplex.com/verify.
Capture:     https://web.archive.org/web/20260822080101/https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle-scientific-guideline
             (Internet Archive, submitted 2026-08-22 — the day this
             observation was recorded, UTC.)
Permalink:   https://gxplex.com/observations/ema-ai-reflection#obs-2026-08-22-1
Full record: https://gxplex.com/api/v1/series.jsonl
 HTTP 200 · 64,863 bytes returned · content changed direct 1,932 chars 863f5ab39635ca89bc0ae1c49ddd75740616ef2970e9651d56e69fca0634ce01
2026-08-22·2
Cite this observation 
GxPlex observation record ema-ai-reflection 2026-08-22·2
Document:    EMA reflection paper on the use of artificial intelligence in the medicinal product lifecycle
Observed:    2026-08-22 (record 2 of that day)
Answered at: https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle-scientific-guideline
             (requested https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle; the publisher redirected)
Response:    HTTP 200, fetched direct, 64,863 bytes returned
Digest:      SHA-256 863f5ab39635ca89bc0ae1c49ddd75740616ef2970e9651d56e69fca0634ce01
             1,932 characters of normalised text.
             The digest is of the NORMALISED text, not of the bytes served:
             tags, scripts, navigation and volatile strings are removed before
             hashing, so hashing the source as served will not reproduce it.
             Normalisation is described at https://gxplex.com/methodology; the
             command that recomputes a digest is published at
             https://gxplex.com/verify.
Capture:     https://web.archive.org/web/20260822080101/https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle-scientific-guideline
             (Internet Archive, submitted 2026-08-22 — the day this
             observation was recorded, UTC.)
Permalink:   https://gxplex.com/observations/ema-ai-reflection#obs-2026-08-22-2
Full record: https://gxplex.com/api/v1/series.jsonl
 HTTP 200 · 64,863 bytes returned direct 1,932 chars 863f5ab39635ca89bc0ae1c49ddd75740616ef2970e9651d56e69fca0634ce01
2026-08-23·1
Cite this observation 
GxPlex observation record ema-ai-reflection 2026-08-23·1
Document:    EMA reflection paper on the use of artificial intelligence in the medicinal product lifecycle
Observed:    2026-08-23 (record 1 of that day)
Answered at: https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle-scientific-guideline
             (requested https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle; the publisher redirected)
Response:    HTTP 200, fetched direct, 65,698 bytes returned
Digest:      SHA-256 eb42a10342ad597462395f790b666b2c47c8b8ff10b10201ca66c02dba3195e9
             2,451 characters of normalised text.
             The digest is of the NORMALISED text, not of the bytes served:
             tags, scripts, navigation and volatile strings are removed before
             hashing, so hashing the source as served will not reproduce it.
             Normalisation is described at https://gxplex.com/methodology; the
             command that recomputes a digest is published at
             https://gxplex.com/verify.
Capture:     https://web.archive.org/web/20260823080022/https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle-scientific-guideline
             (Internet Archive, submitted 2026-08-23 — the day this
             observation was recorded, UTC.)
Permalink:   https://gxplex.com/observations/ema-ai-reflection#obs-2026-08-23-1
Full record: https://gxplex.com/api/v1/series.jsonl
 HTTP 200 · 65,698 bytes returned · content changed direct 2,451 chars eb42a10342ad597462395f790b666b2c47c8b8ff10b10201ca66c02dba3195e9
2026-08-24·1
Cite this observation 
GxPlex observation record ema-ai-reflection 2026-08-24·1
Document:    EMA reflection paper on the use of artificial intelligence in the medicinal product lifecycle
Observed:    2026-08-24 (record 1 of that day)
Answered at: https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle-scientific-guideline
             (requested https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle; the publisher redirected)
Response:    HTTP 200, fetched direct, 65,696 bytes returned
Digest:      SHA-256 eb42a10342ad597462395f790b666b2c47c8b8ff10b10201ca66c02dba3195e9
             2,451 characters of normalised text.
             The digest is of the NORMALISED text, not of the bytes served:
             tags, scripts, navigation and volatile strings are removed before
             hashing, so hashing the source as served will not reproduce it.
             Normalisation is described at https://gxplex.com/methodology; the
             command that recomputes a digest is published at
             https://gxplex.com/verify.
Capture:     https://web.archive.org/web/20260823080022/https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle-scientific-guideline
             (Internet Archive, submitted 2026-08-23, before this observation
             was recorded on 2026-08-24 UTC. NOT a capture of this
             observation.)
Permalink:   https://gxplex.com/observations/ema-ai-reflection#obs-2026-08-24-1
Full record: https://gxplex.com/api/v1/series.jsonl
 HTTP 200 · 65,696 bytes returned direct 2,451 chars eb42a10342ad597462395f790b666b2c47c8b8ff10b10201ca66c02dba3195e9
2026-08-25·1
Cite this observation 
GxPlex observation record ema-ai-reflection 2026-08-25·1
Document:    EMA reflection paper on the use of artificial intelligence in the medicinal product lifecycle
Observed:    2026-08-25 (record 1 of that day)
Answered at: https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle-scientific-guideline
             (requested https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle; the publisher redirected)
Response:    HTTP 200, fetched direct, 64,941 bytes returned
Digest:      SHA-256 863f5ab39635ca89bc0ae1c49ddd75740616ef2970e9651d56e69fca0634ce01
             1,932 characters of normalised text.
             The digest is of the NORMALISED text, not of the bytes served:
             tags, scripts, navigation and volatile strings are removed before
             hashing, so hashing the source as served will not reproduce it.
             Normalisation is described at https://gxplex.com/methodology; the
             command that recomputes a digest is published at
             https://gxplex.com/verify.
Capture:     https://web.archive.org/web/20260825080016/https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle-scientific-guideline
             (Internet Archive, submitted 2026-08-25 — the day this
             observation was recorded, UTC.)
Permalink:   https://gxplex.com/observations/ema-ai-reflection#obs-2026-08-25-1
Full record: https://gxplex.com/api/v1/series.jsonl
 HTTP 200 · 64,941 bytes returned · content changed direct 1,932 chars 863f5ab39635ca89bc0ae1c49ddd75740616ef2970e9651d56e69fca0634ce01
2026-08-25·2
Cite this observation 
GxPlex observation record ema-ai-reflection 2026-08-25·2
Document:    EMA reflection paper on the use of artificial intelligence in the medicinal product lifecycle
Observed:    2026-08-25 (record 2 of that day)
Requested:   https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle
             (no answering URL was recorded for this observation)
Response:    NO RESPONSE ARRIVED, fetched blocked, URLError
             The collector records a status of 0 and 0 bytes when no response
             arrived; neither is a measurement, and neither is published as
             one.
Digest:      NONE RECORDED. No response arrived, and no normalised text was
             retained for this observation, so nothing was hashed. This
             citation asserts no digest.
Capture:     https://web.archive.org/web/20260825080016/https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle-scientific-guideline
             (Internet Archive, submitted 2026-08-25 — the day this
             observation was recorded, UTC.)
Permalink:   https://gxplex.com/observations/ema-ai-reflection#obs-2026-08-25-2
Full record: https://gxplex.com/api/v1/series.jsonl
 no response arrived · URLError blocked — no response arrived on this occasion, so nothing was hashed
2026-08-26·1
Cite this observation 
GxPlex observation record ema-ai-reflection 2026-08-26·1
Document:    EMA reflection paper on the use of artificial intelligence in the medicinal product lifecycle
Observed:    2026-08-26 (record 1 of that day)
Answered at: https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle-scientific-guideline
             (requested https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle; the publisher redirected)
Response:    HTTP 200, fetched direct, 65,778 bytes returned
Digest:      SHA-256 eb42a10342ad597462395f790b666b2c47c8b8ff10b10201ca66c02dba3195e9
             2,451 characters of normalised text.
             The digest is of the NORMALISED text, not of the bytes served:
             tags, scripts, navigation and volatile strings are removed before
             hashing, so hashing the source as served will not reproduce it.
             Normalisation is described at https://gxplex.com/methodology; the
             command that recomputes a digest is published at
             https://gxplex.com/verify.
Capture:     https://web.archive.org/web/20260825080016/https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle-scientific-guideline
             (Internet Archive, submitted 2026-08-25, before this observation
             was recorded on 2026-08-26 UTC. NOT a capture of this
             observation.)
Permalink:   https://gxplex.com/observations/ema-ai-reflection#obs-2026-08-26-1
Full record: https://gxplex.com/api/v1/series.jsonl
 HTTP 200 · 65,778 bytes returned direct 2,451 chars eb42a10342ad597462395f790b666b2c47c8b8ff10b10201ca66c02dba3195e9
2026-08-26·2
Cite this observation 
GxPlex observation record ema-ai-reflection 2026-08-26·2
Document:    EMA reflection paper on the use of artificial intelligence in the medicinal product lifecycle
Observed:    2026-08-26 (record 2 of that day)
Answered at: https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle-scientific-guideline
             (requested https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle; the publisher redirected)
Response:    HTTP 200, fetched direct, 65,776 bytes returned
Digest:      SHA-256 eb42a10342ad597462395f790b666b2c47c8b8ff10b10201ca66c02dba3195e9
             2,451 characters of normalised text.
             The digest is of the NORMALISED text, not of the bytes served:
             tags, scripts, navigation and volatile strings are removed before
             hashing, so hashing the source as served will not reproduce it.
             Normalisation is described at https://gxplex.com/methodology; the
             command that recomputes a digest is published at
             https://gxplex.com/verify.
Capture:     https://web.archive.org/web/20260825080016/https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle-scientific-guideline
             (Internet Archive, submitted 2026-08-25, before this observation
             was recorded on 2026-08-26 UTC. NOT a capture of this
             observation.)
Permalink:   https://gxplex.com/observations/ema-ai-reflection#obs-2026-08-26-2
Full record: https://gxplex.com/api/v1/series.jsonl
 HTTP 200 · 65,776 bytes returned direct 2,451 chars eb42a10342ad597462395f790b666b2c47c8b8ff10b10201ca66c02dba3195e9
2026-08-27·1
Cite this observation 
GxPlex observation record ema-ai-reflection 2026-08-27·1
Document:    EMA reflection paper on the use of artificial intelligence in the medicinal product lifecycle
Observed:    2026-08-27 (record 1 of that day)
Answered at: https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle-scientific-guideline
             (requested https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle; the publisher redirected)
Response:    HTTP 200, fetched direct, 65,778 bytes returned
Digest:      SHA-256 eb42a10342ad597462395f790b666b2c47c8b8ff10b10201ca66c02dba3195e9
             2,451 characters of normalised text.
             The digest is of the NORMALISED text, not of the bytes served:
             tags, scripts, navigation and volatile strings are removed before
             hashing, so hashing the source as served will not reproduce it.
             Normalisation is described at https://gxplex.com/methodology; the
             command that recomputes a digest is published at
             https://gxplex.com/verify.
Capture:     https://web.archive.org/web/20260825080016/https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle-scientific-guideline
             (Internet Archive, submitted 2026-08-25, before this observation
             was recorded on 2026-08-27 UTC. NOT a capture of this
             observation.)
Permalink:   https://gxplex.com/observations/ema-ai-reflection#obs-2026-08-27-1
Full record: https://gxplex.com/api/v1/series.jsonl
 HTTP 200 · 65,778 bytes returned direct 2,451 chars eb42a10342ad597462395f790b666b2c47c8b8ff10b10201ca66c02dba3195e9
2026-08-28·1
Cite this observation 
GxPlex observation record ema-ai-reflection 2026-08-28·1
Document:    EMA reflection paper on the use of artificial intelligence in the medicinal product lifecycle
Observed:    2026-08-28 (record 1 of that day)
Answered at: https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle-scientific-guideline
             (requested https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle; the publisher redirected)
Response:    HTTP 200, fetched direct, 66,564 bytes returned
Digest:      SHA-256 eb42a10342ad597462395f790b666b2c47c8b8ff10b10201ca66c02dba3195e9
             2,451 characters of normalised text.
             The digest is of the NORMALISED text, not of the bytes served:
             tags, scripts, navigation and volatile strings are removed before
             hashing, so hashing the source as served will not reproduce it.
             Normalisation is described at https://gxplex.com/methodology; the
             command that recomputes a digest is published at
             https://gxplex.com/verify.
Capture:     https://web.archive.org/web/20260825080016/https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle-scientific-guideline
             (Internet Archive, submitted 2026-08-25, before this observation
             was recorded on 2026-08-28 UTC. NOT a capture of this
             observation.)
Permalink:   https://gxplex.com/observations/ema-ai-reflection#obs-2026-08-28-1
Full record: https://gxplex.com/api/v1/series.jsonl
 HTTP 200 · 66,564 bytes returned direct 2,451 chars eb42a10342ad597462395f790b666b2c47c8b8ff10b10201ca66c02dba3195e9
2026-08-29·1
Cite this observation 
GxPlex observation record ema-ai-reflection 2026-08-29·1
Document:    EMA reflection paper on the use of artificial intelligence in the medicinal product lifecycle
Observed:    2026-08-29 (record 1 of that day)
Answered at: https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle-scientific-guideline
             (requested https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle; the publisher redirected)
Response:    HTTP 200, fetched direct, 66,564 bytes returned
Digest:      SHA-256 eb42a10342ad597462395f790b666b2c47c8b8ff10b10201ca66c02dba3195e9
             2,451 characters of normalised text.
             The digest is of the NORMALISED text, not of the bytes served:
             tags, scripts, navigation and volatile strings are removed before
             hashing, so hashing the source as served will not reproduce it.
             Normalisation is described at https://gxplex.com/methodology; the
             command that recomputes a digest is published at
             https://gxplex.com/verify.
Capture:     https://web.archive.org/web/20260825080016/https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle-scientific-guideline
             (Internet Archive, submitted 2026-08-25, before this observation
             was recorded on 2026-08-29 UTC. NOT a capture of this
             observation.)
Permalink:   https://gxplex.com/observations/ema-ai-reflection#obs-2026-08-29-1
Full record: https://gxplex.com/api/v1/series.jsonl
 HTTP 200 · 66,564 bytes returned direct 2,451 chars eb42a10342ad597462395f790b666b2c47c8b8ff10b10201ca66c02dba3195e9
2026-08-29·2
Cite this observation 
GxPlex observation record ema-ai-reflection 2026-08-29·2
Document:    EMA reflection paper on the use of artificial intelligence in the medicinal product lifecycle
Observed:    2026-08-29 (record 2 of that day)
Answered at: https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle-scientific-guideline
             (requested https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle; the publisher redirected)
Response:    HTTP 200, fetched direct, 66,564 bytes returned
Digest:      SHA-256 eb42a10342ad597462395f790b666b2c47c8b8ff10b10201ca66c02dba3195e9
             2,451 characters of normalised text.
             The digest is of the NORMALISED text, not of the bytes served:
             tags, scripts, navigation and volatile strings are removed before
             hashing, so hashing the source as served will not reproduce it.
             Normalisation is described at https://gxplex.com/methodology; the
             command that recomputes a digest is published at
             https://gxplex.com/verify.
Capture:     https://web.archive.org/web/20260825080016/https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle-scientific-guideline
             (Internet Archive, submitted 2026-08-25, before this observation
             was recorded on 2026-08-29 UTC. NOT a capture of this
             observation.)
Permalink:   https://gxplex.com/observations/ema-ai-reflection#obs-2026-08-29-2
Full record: https://gxplex.com/api/v1/series.jsonl
 HTTP 200 · 66,564 bytes returned direct 2,451 chars eb42a10342ad597462395f790b666b2c47c8b8ff10b10201ca66c02dba3195e9
2026-08-30·1
Cite this observation 
GxPlex observation record ema-ai-reflection 2026-08-30·1
Document:    EMA reflection paper on the use of artificial intelligence in the medicinal product lifecycle
Observed:    2026-08-30 (record 1 of that day)
Answered at: https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle-scientific-guideline
             (requested https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle; the publisher redirected)
Response:    HTTP 200, fetched direct, 66,564 bytes returned
Digest:      SHA-256 eb42a10342ad597462395f790b666b2c47c8b8ff10b10201ca66c02dba3195e9
             2,451 characters of normalised text.
             The digest is of the NORMALISED text, not of the bytes served:
             tags, scripts, navigation and volatile strings are removed before
             hashing, so hashing the source as served will not reproduce it.
             Normalisation is described at https://gxplex.com/methodology; the
             command that recomputes a digest is published at
             https://gxplex.com/verify.
Capture:     https://web.archive.org/web/20260825080016/https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle-scientific-guideline
             (Internet Archive, submitted 2026-08-25, before this observation
             was recorded on 2026-08-30 UTC. NOT a capture of this
             observation.)
Permalink:   https://gxplex.com/observations/ema-ai-reflection#obs-2026-08-30-1
Full record: https://gxplex.com/api/v1/series.jsonl
 HTTP 200 · 66,564 bytes returned direct 2,451 chars eb42a10342ad597462395f790b666b2c47c8b8ff10b10201ca66c02dba3195e9
2026-08-30·2
Cite this observation 
GxPlex observation record ema-ai-reflection 2026-08-30·2
Document:    EMA reflection paper on the use of artificial intelligence in the medicinal product lifecycle
Observed:    2026-08-30 (record 2 of that day)
Answered at: https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle-scientific-guideline
             (requested https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle; the publisher redirected)
Response:    HTTP 200, fetched direct, 66,564 bytes returned
Digest:      SHA-256 eb42a10342ad597462395f790b666b2c47c8b8ff10b10201ca66c02dba3195e9
             2,451 characters of normalised text.
             The digest is of the NORMALISED text, not of the bytes served:
             tags, scripts, navigation and volatile strings are removed before
             hashing, so hashing the source as served will not reproduce it.
             Normalisation is described at https://gxplex.com/methodology; the
             command that recomputes a digest is published at
             https://gxplex.com/verify.
Capture:     https://web.archive.org/web/20260825080016/https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle-scientific-guideline
             (Internet Archive, submitted 2026-08-25, before this observation
             was recorded on 2026-08-30 UTC. NOT a capture of this
             observation.)
Permalink:   https://gxplex.com/observations/ema-ai-reflection#obs-2026-08-30-2
Full record: https://gxplex.com/api/v1/series.jsonl
 HTTP 200 · 66,564 bytes returned direct 2,451 chars eb42a10342ad597462395f790b666b2c47c8b8ff10b10201ca66c02dba3195e9
2026-08-31·1
Cite this observation 
GxPlex observation record ema-ai-reflection 2026-08-31·1
Document:    EMA reflection paper on the use of artificial intelligence in the medicinal product lifecycle
Observed:    2026-08-31 (record 1 of that day)
Answered at: https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle-scientific-guideline
             (requested https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle; the publisher redirected)
Response:    HTTP 200, fetched direct, 66,564 bytes returned
Digest:      SHA-256 eb42a10342ad597462395f790b666b2c47c8b8ff10b10201ca66c02dba3195e9
             2,451 characters of normalised text.
             The digest is of the NORMALISED text, not of the bytes served:
             tags, scripts, navigation and volatile strings are removed before
             hashing, so hashing the source as served will not reproduce it.
             Normalisation is described at https://gxplex.com/methodology; the
             command that recomputes a digest is published at
             https://gxplex.com/verify.
Capture:     https://web.archive.org/web/20260825080016/https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle-scientific-guideline
             (Internet Archive, submitted 2026-08-25, before this observation
             was recorded on 2026-08-31 UTC. NOT a capture of this
             observation.)
Permalink:   https://gxplex.com/observations/ema-ai-reflection#obs-2026-08-31-1
Full record: https://gxplex.com/api/v1/series.jsonl
 HTTP 200 · 66,564 bytes returned direct 2,451 chars eb42a10342ad597462395f790b666b2c47c8b8ff10b10201ca66c02dba3195e9
2026-09-01·1
Cite this observation 
GxPlex observation record ema-ai-reflection 2026-09-01·1
Document:    EMA reflection paper on the use of artificial intelligence in the medicinal product lifecycle
Observed:    2026-09-01 (record 1 of that day)
Answered at: https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle-scientific-guideline
             (requested https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle; the publisher redirected)
Response:    HTTP 200, fetched direct, 66,557 bytes returned
Digest:      SHA-256 eb42a10342ad597462395f790b666b2c47c8b8ff10b10201ca66c02dba3195e9
             2,451 characters of normalised text.
             The digest is of the NORMALISED text, not of the bytes served:
             tags, scripts, navigation and volatile strings are removed before
             hashing, so hashing the source as served will not reproduce it.
             Normalisation is described at https://gxplex.com/methodology; the
             command that recomputes a digest is published at
             https://gxplex.com/verify.
Capture:     https://web.archive.org/web/20260825080016/https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle-scientific-guideline
             (Internet Archive, submitted 2026-08-25, before this observation
             was recorded on 2026-09-01 UTC. NOT a capture of this
             observation.)
Permalink:   https://gxplex.com/observations/ema-ai-reflection#obs-2026-09-01-1
Full record: https://gxplex.com/api/v1/series.jsonl
 HTTP 200 · 66,557 bytes returned direct 2,451 chars eb42a10342ad597462395f790b666b2c47c8b8ff10b10201ca66c02dba3195e9
2026-09-02·1
Cite this observation 
GxPlex observation record ema-ai-reflection 2026-09-02·1
Document:    EMA reflection paper on the use of artificial intelligence in the medicinal product lifecycle
Observed:    2026-09-02 (record 1 of that day)
Answered at: https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle-scientific-guideline
             (requested https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle; the publisher redirected)
Response:    HTTP 200, fetched direct, 66,556 bytes returned
Digest:      SHA-256 eb42a10342ad597462395f790b666b2c47c8b8ff10b10201ca66c02dba3195e9
             2,451 characters of normalised text.
             The digest is of the NORMALISED text, not of the bytes served:
             tags, scripts, navigation and volatile strings are removed before
             hashing, so hashing the source as served will not reproduce it.
             Normalisation is described at https://gxplex.com/methodology; the
             command that recomputes a digest is published at
             https://gxplex.com/verify.
Capture:     https://web.archive.org/web/20260825080016/https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle-scientific-guideline
             (Internet Archive, submitted 2026-08-25, before this observation
             was recorded on 2026-09-02 UTC. NOT a capture of this
             observation.)
Permalink:   https://gxplex.com/observations/ema-ai-reflection#obs-2026-09-02-1
Full record: https://gxplex.com/api/v1/series.jsonl
 HTTP 200 · 66,556 bytes returned direct 2,451 chars eb42a10342ad597462395f790b666b2c47c8b8ff10b10201ca66c02dba3195e9
2026-09-02·2
Cite this observation 
GxPlex observation record ema-ai-reflection 2026-09-02·2
Document:    EMA reflection paper on the use of artificial intelligence in the medicinal product lifecycle
Observed:    2026-09-02 (record 2 of that day)
Answered at: https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle-scientific-guideline
             (requested https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle; the publisher redirected)
Response:    HTTP 200, fetched direct, 66,564 bytes returned
Digest:      SHA-256 eb42a10342ad597462395f790b666b2c47c8b8ff10b10201ca66c02dba3195e9
             2,451 characters of normalised text.
             The digest is of the NORMALISED text, not of the bytes served:
             tags, scripts, navigation and volatile strings are removed before
             hashing, so hashing the source as served will not reproduce it.
             Normalisation is described at https://gxplex.com/methodology; the
             command that recomputes a digest is published at
             https://gxplex.com/verify.
Capture:     https://web.archive.org/web/20260825080016/https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle-scientific-guideline
             (Internet Archive, submitted 2026-08-25, before this observation
             was recorded on 2026-09-02 UTC. NOT a capture of this
             observation.)
Permalink:   https://gxplex.com/observations/ema-ai-reflection#obs-2026-09-02-2
Full record: https://gxplex.com/api/v1/series.jsonl
 HTTP 200 · 66,564 bytes returned direct 2,451 chars eb42a10342ad597462395f790b666b2c47c8b8ff10b10201ca66c02dba3195e9
2026-09-03·1
Cite this observation 
GxPlex observation record ema-ai-reflection 2026-09-03·1
Document:    EMA reflection paper on the use of artificial intelligence in the medicinal product lifecycle
Observed:    2026-09-03 (record 1 of that day)
Answered at: https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle-scientific-guideline
             (requested https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle; the publisher redirected)
Response:    HTTP 200, fetched direct, 65,725 bytes returned
Digest:      SHA-256 863f5ab39635ca89bc0ae1c49ddd75740616ef2970e9651d56e69fca0634ce01
             1,932 characters of normalised text.
             The digest is of the NORMALISED text, not of the bytes served:
             tags, scripts, navigation and volatile strings are removed before
             hashing, so hashing the source as served will not reproduce it.
             Normalisation is described at https://gxplex.com/methodology; the
             command that recomputes a digest is published at
             https://gxplex.com/verify.
Capture:     https://web.archive.org/web/20260825080016/https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle-scientific-guideline
             (Internet Archive, submitted 2026-08-25, before this observation
             was recorded on 2026-09-03 UTC. NOT a capture of this
             observation.)
Permalink:   https://gxplex.com/observations/ema-ai-reflection#obs-2026-09-03-1
Full record: https://gxplex.com/api/v1/series.jsonl
 HTTP 200 · 65,725 bytes returned · content changed direct 1,932 chars 863f5ab39635ca89bc0ae1c49ddd75740616ef2970e9651d56e69fca0634ce01
2026-09-04·1
Cite this observation 
GxPlex observation record ema-ai-reflection 2026-09-04·1
Document:    EMA reflection paper on the use of artificial intelligence in the medicinal product lifecycle
Observed:    2026-09-04 (record 1 of that day)
Answered at: https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle-scientific-guideline
             (requested https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle; the publisher redirected)
Response:    HTTP 200, fetched direct, 66,564 bytes returned
Digest:      SHA-256 eb42a10342ad597462395f790b666b2c47c8b8ff10b10201ca66c02dba3195e9
             2,451 characters of normalised text.
             The digest is of the NORMALISED text, not of the bytes served:
             tags, scripts, navigation and volatile strings are removed before
             hashing, so hashing the source as served will not reproduce it.
             Normalisation is described at https://gxplex.com/methodology; the
             command that recomputes a digest is published at
             https://gxplex.com/verify.
Capture:     https://web.archive.org/web/20260825080016/https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle-scientific-guideline
             (Internet Archive, submitted 2026-08-25, before this observation
             was recorded on 2026-09-04 UTC. NOT a capture of this
             observation.)
Permalink:   https://gxplex.com/observations/ema-ai-reflection#obs-2026-09-04-1
Full record: https://gxplex.com/api/v1/series.jsonl
 HTTP 200 · 66,564 bytes returned · content changed direct 2,451 chars eb42a10342ad597462395f790b666b2c47c8b8ff10b10201ca66c02dba3195e9
2026-09-04·2
Cite this observation 
GxPlex observation record ema-ai-reflection 2026-09-04·2
Document:    EMA reflection paper on the use of artificial intelligence in the medicinal product lifecycle
Observed:    2026-09-04 (record 2 of that day)
Answered at: https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle-scientific-guideline
             (requested https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle; the publisher redirected)
Response:    HTTP 200, fetched direct, 65,710 bytes returned
Digest:      SHA-256 863f5ab39635ca89bc0ae1c49ddd75740616ef2970e9651d56e69fca0634ce01
             1,932 characters of normalised text.
             The digest is of the NORMALISED text, not of the bytes served:
             tags, scripts, navigation and volatile strings are removed before
             hashing, so hashing the source as served will not reproduce it.
             Normalisation is described at https://gxplex.com/methodology; the
             command that recomputes a digest is published at
             https://gxplex.com/verify.
Capture:     https://web.archive.org/web/20260825080016/https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle-scientific-guideline
             (Internet Archive, submitted 2026-08-25, before this observation
             was recorded on 2026-09-04 UTC. NOT a capture of this
             observation.)
Permalink:   https://gxplex.com/observations/ema-ai-reflection#obs-2026-09-04-2
Full record: https://gxplex.com/api/v1/series.jsonl
 HTTP 200 · 65,710 bytes returned · content changed direct 1,932 chars 863f5ab39635ca89bc0ae1c49ddd75740616ef2970e9651d56e69fca0634ce01
2026-09-05·1
Cite this observation 
GxPlex observation record ema-ai-reflection 2026-09-05·1
Document:    EMA reflection paper on the use of artificial intelligence in the medicinal product lifecycle
Observed:    2026-09-05 (record 1 of that day)
Answered at: https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle-scientific-guideline
             (requested https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle; the publisher redirected)
Response:    HTTP 200, fetched direct, 66,544 bytes returned
Digest:      SHA-256 eb42a10342ad597462395f790b666b2c47c8b8ff10b10201ca66c02dba3195e9
             2,451 characters of normalised text.
             The digest is of the NORMALISED text, not of the bytes served:
             tags, scripts, navigation and volatile strings are removed before
             hashing, so hashing the source as served will not reproduce it.
             Normalisation is described at https://gxplex.com/methodology; the
             command that recomputes a digest is published at
             https://gxplex.com/verify.
Capture:     https://web.archive.org/web/20260825080016/https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle-scientific-guideline
             (Internet Archive, submitted 2026-08-25, before this observation
             was recorded on 2026-09-05 UTC. NOT a capture of this
             observation.)
Permalink:   https://gxplex.com/observations/ema-ai-reflection#obs-2026-09-05-1
Full record: https://gxplex.com/api/v1/series.jsonl
 HTTP 200 · 66,544 bytes returned · content changed direct 2,451 chars eb42a10342ad597462395f790b666b2c47c8b8ff10b10201ca66c02dba3195e9
2026-09-05·2
Cite this observation 
GxPlex observation record ema-ai-reflection 2026-09-05·2
Document:    EMA reflection paper on the use of artificial intelligence in the medicinal product lifecycle
Observed:    2026-09-05 (record 2 of that day)
Answered at: https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle-scientific-guideline
             (requested https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle; the publisher redirected)
Response:    HTTP 200, fetched direct, 66,544 bytes returned
Digest:      SHA-256 eb42a10342ad597462395f790b666b2c47c8b8ff10b10201ca66c02dba3195e9
             2,451 characters of normalised text.
             The digest is of the NORMALISED text, not of the bytes served:
             tags, scripts, navigation and volatile strings are removed before
             hashing, so hashing the source as served will not reproduce it.
             Normalisation is described at https://gxplex.com/methodology; the
             command that recomputes a digest is published at
             https://gxplex.com/verify.
Capture:     https://web.archive.org/web/20260825080016/https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle-scientific-guideline
             (Internet Archive, submitted 2026-08-25, before this observation
             was recorded on 2026-09-05 UTC. NOT a capture of this
             observation.)
Permalink:   https://gxplex.com/observations/ema-ai-reflection#obs-2026-09-05-2
Full record: https://gxplex.com/api/v1/series.jsonl
 HTTP 200 · 66,544 bytes returned direct 2,451 chars eb42a10342ad597462395f790b666b2c47c8b8ff10b10201ca66c02dba3195e9
2026-09-05·3
Cite this observation 
GxPlex observation record ema-ai-reflection 2026-09-05·3
Document:    EMA reflection paper on the use of artificial intelligence in the medicinal product lifecycle
Observed:    2026-09-05 (record 3 of that day)
Answered at: https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle-scientific-guideline
             (requested https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle; the publisher redirected)
Response:    HTTP 200, fetched direct, 66,544 bytes returned
Digest:      SHA-256 eb42a10342ad597462395f790b666b2c47c8b8ff10b10201ca66c02dba3195e9
             2,451 characters of normalised text.
             The digest is of the NORMALISED text, not of the bytes served:
             tags, scripts, navigation and volatile strings are removed before
             hashing, so hashing the source as served will not reproduce it.
             Normalisation is described at https://gxplex.com/methodology; the
             command that recomputes a digest is published at
             https://gxplex.com/verify.
Capture:     https://web.archive.org/web/20260825080016/https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle-scientific-guideline
             (Internet Archive, submitted 2026-08-25, before this observation
             was recorded on 2026-09-05 UTC. NOT a capture of this
             observation.)
Permalink:   https://gxplex.com/observations/ema-ai-reflection#obs-2026-09-05-3
Full record: https://gxplex.com/api/v1/series.jsonl
 HTTP 200 · 66,544 bytes returned direct 2,451 chars eb42a10342ad597462395f790b666b2c47c8b8ff10b10201ca66c02dba3195e9
2026-09-05·4
Cite this observation 
GxPlex observation record ema-ai-reflection 2026-09-05·4
Document:    EMA reflection paper on the use of artificial intelligence in the medicinal product lifecycle
Observed:    2026-09-05 (record 4 of that day)
Answered at: https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle-scientific-guideline
             (requested https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle; the publisher redirected)
Response:    HTTP 200, fetched direct, 66,544 bytes returned
Digest:      SHA-256 eb42a10342ad597462395f790b666b2c47c8b8ff10b10201ca66c02dba3195e9
             2,451 characters of normalised text.
             The digest is of the NORMALISED text, not of the bytes served:
             tags, scripts, navigation and volatile strings are removed before
             hashing, so hashing the source as served will not reproduce it.
             Normalisation is described at https://gxplex.com/methodology; the
             command that recomputes a digest is published at
             https://gxplex.com/verify.
Capture:     https://web.archive.org/web/20260825080016/https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle-scientific-guideline
             (Internet Archive, submitted 2026-08-25, before this observation
             was recorded on 2026-09-05 UTC. NOT a capture of this
             observation.)
Permalink:   https://gxplex.com/observations/ema-ai-reflection#obs-2026-09-05-4
Full record: https://gxplex.com/api/v1/series.jsonl
 HTTP 200 · 66,544 bytes returned direct 2,451 chars eb42a10342ad597462395f790b666b2c47c8b8ff10b10201ca66c02dba3195e9
2026-09-05·5
Cite this observation 
GxPlex observation record ema-ai-reflection 2026-09-05·5
Document:    EMA reflection paper on the use of artificial intelligence in the medicinal product lifecycle
Observed:    2026-09-05 (record 5 of that day)
Answered at: https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle-scientific-guideline
             (requested https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle; the publisher redirected)
Response:    HTTP 200, fetched direct, 66,544 bytes returned
Digest:      SHA-256 eb42a10342ad597462395f790b666b2c47c8b8ff10b10201ca66c02dba3195e9
             2,451 characters of normalised text.
             The digest is of the NORMALISED text, not of the bytes served:
             tags, scripts, navigation and volatile strings are removed before
             hashing, so hashing the source as served will not reproduce it.
             Normalisation is described at https://gxplex.com/methodology; the
             command that recomputes a digest is published at
             https://gxplex.com/verify.
Capture:     https://web.archive.org/web/20260825080016/https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle-scientific-guideline
             (Internet Archive, submitted 2026-08-25, before this observation
             was recorded on 2026-09-05 UTC. NOT a capture of this
             observation.)
Permalink:   https://gxplex.com/observations/ema-ai-reflection#obs-2026-09-05-5
Full record: https://gxplex.com/api/v1/series.jsonl
 HTTP 200 · 66,544 bytes returned direct 2,451 chars eb42a10342ad597462395f790b666b2c47c8b8ff10b10201ca66c02dba3195e9
2026-09-05·6
Cite this observation 
GxPlex observation record ema-ai-reflection 2026-09-05·6
Document:    EMA reflection paper on the use of artificial intelligence in the medicinal product lifecycle
Observed:    2026-09-05 (record 6 of that day)
Answered at: https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle-scientific-guideline
             (requested https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle; the publisher redirected)
Response:    HTTP 200, fetched direct, 66,544 bytes returned
Digest:      SHA-256 eb42a10342ad597462395f790b666b2c47c8b8ff10b10201ca66c02dba3195e9
             2,451 characters of normalised text.
             The digest is of the NORMALISED text, not of the bytes served:
             tags, scripts, navigation and volatile strings are removed before
             hashing, so hashing the source as served will not reproduce it.
             Normalisation is described at https://gxplex.com/methodology; the
             command that recomputes a digest is published at
             https://gxplex.com/verify.
Capture:     https://web.archive.org/web/20260825080016/https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle-scientific-guideline
             (Internet Archive, submitted 2026-08-25, before this observation
             was recorded on 2026-09-05 UTC. NOT a capture of this
             observation.)
Permalink:   https://gxplex.com/observations/ema-ai-reflection#obs-2026-09-05-6
Full record: https://gxplex.com/api/v1/series.jsonl
 HTTP 200 · 66,544 bytes returned direct 2,451 chars eb42a10342ad597462395f790b666b2c47c8b8ff10b10201ca66c02dba3195e9
2026-09-05·7
Cite this observation 
GxPlex observation record ema-ai-reflection 2026-09-05·7
Document:    EMA reflection paper on the use of artificial intelligence in the medicinal product lifecycle
Observed:    2026-09-05 (record 7 of that day)
Answered at: https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle-scientific-guideline
             (requested https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle; the publisher redirected)
Response:    HTTP 200, fetched direct, 66,544 bytes returned
Digest:      SHA-256 eb42a10342ad597462395f790b666b2c47c8b8ff10b10201ca66c02dba3195e9
             2,451 characters of normalised text.
             The digest is of the NORMALISED text, not of the bytes served:
             tags, scripts, navigation and volatile strings are removed before
             hashing, so hashing the source as served will not reproduce it.
             Normalisation is described at https://gxplex.com/methodology; the
             command that recomputes a digest is published at
             https://gxplex.com/verify.
Capture:     https://web.archive.org/web/20260825080016/https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle-scientific-guideline
             (Internet Archive, submitted 2026-08-25, before this observation
             was recorded on 2026-09-05 UTC. NOT a capture of this
             observation.)
Permalink:   https://gxplex.com/observations/ema-ai-reflection#obs-2026-09-05-7
Full record: https://gxplex.com/api/v1/series.jsonl
 HTTP 200 · 66,544 bytes returned direct 2,451 chars eb42a10342ad597462395f790b666b2c47c8b8ff10b10201ca66c02dba3195e9
2026-09-05·8
Cite this observation 
GxPlex observation record ema-ai-reflection 2026-09-05·8
Document:    EMA reflection paper on the use of artificial intelligence in the medicinal product lifecycle
Observed:    2026-09-05 (record 8 of that day)
Answered at: https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle-scientific-guideline
             (requested https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle; the publisher redirected)
Response:    HTTP 200, fetched direct, 66,544 bytes returned
Digest:      SHA-256 eb42a10342ad597462395f790b666b2c47c8b8ff10b10201ca66c02dba3195e9
             2,451 characters of normalised text.
             The digest is of the NORMALISED text, not of the bytes served:
             tags, scripts, navigation and volatile strings are removed before
             hashing, so hashing the source as served will not reproduce it.
             Normalisation is described at https://gxplex.com/methodology; the
             command that recomputes a digest is published at
             https://gxplex.com/verify.
Capture:     https://web.archive.org/web/20260825080016/https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle-scientific-guideline
             (Internet Archive, submitted 2026-08-25, before this observation
             was recorded on 2026-09-05 UTC. NOT a capture of this
             observation.)
Permalink:   https://gxplex.com/observations/ema-ai-reflection#obs-2026-09-05-8
Full record: https://gxplex.com/api/v1/series.jsonl
 HTTP 200 · 66,544 bytes returned direct 2,451 chars eb42a10342ad597462395f790b666b2c47c8b8ff10b10201ca66c02dba3195e9
2026-09-05·9
Cite this observation 
GxPlex observation record ema-ai-reflection 2026-09-05·9
Document:    EMA reflection paper on the use of artificial intelligence in the medicinal product lifecycle
Observed:    2026-09-05 (record 9 of that day)
Answered at: https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle-scientific-guideline
             (requested https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle; the publisher redirected)
Response:    HTTP 200, fetched direct, 66,544 bytes returned
Digest:      SHA-256 eb42a10342ad597462395f790b666b2c47c8b8ff10b10201ca66c02dba3195e9
             2,451 characters of normalised text.
             The digest is of the NORMALISED text, not of the bytes served:
             tags, scripts, navigation and volatile strings are removed before
             hashing, so hashing the source as served will not reproduce it.
             Normalisation is described at https://gxplex.com/methodology; the
             command that recomputes a digest is published at
             https://gxplex.com/verify.
Capture:     https://web.archive.org/web/20260825080016/https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle-scientific-guideline
             (Internet Archive, submitted 2026-08-25, before this observation
             was recorded on 2026-09-05 UTC. NOT a capture of this
             observation.)
Permalink:   https://gxplex.com/observations/ema-ai-reflection#obs-2026-09-05-9
Full record: https://gxplex.com/api/v1/series.jsonl
 HTTP 200 · 66,544 bytes returned direct 2,451 chars eb42a10342ad597462395f790b666b2c47c8b8ff10b10201ca66c02dba3195e9
2026-09-06·1
Cite this observation 
GxPlex observation record ema-ai-reflection 2026-09-06·1
Document:    EMA reflection paper on the use of artificial intelligence in the medicinal product lifecycle
Observed:    2026-09-06 (record 1 of that day)
Answered at: https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle-scientific-guideline
             (requested https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle; the publisher redirected)
Response:    HTTP 200, fetched direct, 66,544 bytes returned
Digest:      SHA-256 eb42a10342ad597462395f790b666b2c47c8b8ff10b10201ca66c02dba3195e9
             2,451 characters of normalised text.
             The digest is of the NORMALISED text, not of the bytes served:
             tags, scripts, navigation and volatile strings are removed before
             hashing, so hashing the source as served will not reproduce it.
             Normalisation is described at https://gxplex.com/methodology; the
             command that recomputes a digest is published at
             https://gxplex.com/verify.
Capture:     https://web.archive.org/web/20260825080016/https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle-scientific-guideline
             (Internet Archive, submitted 2026-08-25, before this observation
             was recorded on 2026-09-06 UTC. NOT a capture of this
             observation.)
Permalink:   https://gxplex.com/observations/ema-ai-reflection#obs-2026-09-06-1
Full record: https://gxplex.com/api/v1/series.jsonl
 HTTP 200 · 66,544 bytes returned direct 2,451 chars eb42a10342ad597462395f790b666b2c47c8b8ff10b10201ca66c02dba3195e9
2026-09-07·1
Cite this observation 
GxPlex observation record ema-ai-reflection 2026-09-07·1
Document:    EMA reflection paper on the use of artificial intelligence in the medicinal product lifecycle
Observed:    2026-09-07 (record 1 of that day)
Answered at: https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle-scientific-guideline
             (requested https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle; the publisher redirected)
Response:    HTTP 200, fetched direct, 66,543 bytes returned
Digest:      SHA-256 eb42a10342ad597462395f790b666b2c47c8b8ff10b10201ca66c02dba3195e9
             2,451 characters of normalised text.
             The digest is of the NORMALISED text, not of the bytes served:
             tags, scripts, navigation and volatile strings are removed before
             hashing, so hashing the source as served will not reproduce it.
             Normalisation is described at https://gxplex.com/methodology; the
             command that recomputes a digest is published at
             https://gxplex.com/verify.
Capture:     https://web.archive.org/web/20260825080016/https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle-scientific-guideline
             (Internet Archive, submitted 2026-08-25, before this observation
             was recorded on 2026-09-07 UTC. NOT a capture of this
             observation.)
Permalink:   https://gxplex.com/observations/ema-ai-reflection#obs-2026-09-07-1
Full record: https://gxplex.com/api/v1/series.jsonl
 HTTP 200 · 66,543 bytes returned direct 2,451 chars eb42a10342ad597462395f790b666b2c47c8b8ff10b10201ca66c02dba3195e9
2026-09-08·1
Cite this observation 
GxPlex observation record ema-ai-reflection 2026-09-08·1
Document:    EMA reflection paper on the use of artificial intelligence in the medicinal product lifecycle
Observed:    2026-09-08 (record 1 of that day)
Answered at: https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle-scientific-guideline
Response:    HTTP 200, fetched direct, 66,543 bytes returned
Digest:      SHA-256 eb42a10342ad597462395f790b666b2c47c8b8ff10b10201ca66c02dba3195e9
             2,451 characters of normalised text.
             The digest is of the NORMALISED text, not of the bytes served:
             tags, scripts, navigation and volatile strings are removed before
             hashing, so hashing the source as served will not reproduce it.
             Normalisation is described at https://gxplex.com/methodology; the
             command that recomputes a digest is published at
             https://gxplex.com/verify.
Capture:     https://web.archive.org/web/20260825080016/https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle-scientific-guideline
             (Internet Archive, submitted 2026-08-25, before this observation
             was recorded on 2026-09-08 UTC. NOT a capture of this
             observation.)
Permalink:   https://gxplex.com/observations/ema-ai-reflection#obs-2026-09-08-1
Full record: https://gxplex.com/api/v1/series.jsonl
 HTTP 200 · 66,543 bytes returned direct 2,451 chars eb42a10342ad597462395f790b666b2c47c8b8ff10b10201ca66c02dba3195e9
2026-09-09·1
Cite this observation 
GxPlex observation record ema-ai-reflection 2026-09-09·1
Document:    EMA reflection paper on the use of artificial intelligence in the medicinal product lifecycle
Observed:    2026-09-09 (record 1 of that day)
Answered at: https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle-scientific-guideline
Response:    HTTP 200, fetched direct, 66,541 bytes returned
Digest:      SHA-256 eb42a10342ad597462395f790b666b2c47c8b8ff10b10201ca66c02dba3195e9
             2,451 characters of normalised text.
             The digest is of the NORMALISED text, not of the bytes served:
             tags, scripts, navigation and volatile strings are removed before
             hashing, so hashing the source as served will not reproduce it.
             Normalisation is described at https://gxplex.com/methodology; the
             command that recomputes a digest is published at
             https://gxplex.com/verify.
Capture:     https://web.archive.org/web/20260825080016/https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle-scientific-guideline
             (Internet Archive, submitted 2026-08-25, before this observation
             was recorded on 2026-09-09 UTC. NOT a capture of this
             observation.)
Permalink:   https://gxplex.com/observations/ema-ai-reflection#obs-2026-09-09-1
Full record: https://gxplex.com/api/v1/series.jsonl
 HTTP 200 · 66,541 bytes returned direct 2,451 chars eb42a10342ad597462395f790b666b2c47c8b8ff10b10201ca66c02dba3195e9
2026-09-10·1
Cite this observation 
GxPlex observation record ema-ai-reflection 2026-09-10·1
Document:    EMA reflection paper on the use of artificial intelligence in the medicinal product lifecycle
Observed:    2026-09-10 (record 1 of that day)
Answered at: https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle-scientific-guideline
Response:    HTTP 200, fetched direct, 66,543 bytes returned
Digest:      SHA-256 eb42a10342ad597462395f790b666b2c47c8b8ff10b10201ca66c02dba3195e9
             2,451 characters of normalised text.
             The digest is of the NORMALISED text, not of the bytes served:
             tags, scripts, navigation and volatile strings are removed before
             hashing, so hashing the source as served will not reproduce it.
             Normalisation is described at https://gxplex.com/methodology; the
             command that recomputes a digest is published at
             https://gxplex.com/verify.
Capture:     https://web.archive.org/web/20260825080016/https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle-scientific-guideline
             (Internet Archive, submitted 2026-08-25, before this observation
             was recorded on 2026-09-10 UTC. NOT a capture of this
             observation.)
Permalink:   https://gxplex.com/observations/ema-ai-reflection#obs-2026-09-10-1
Full record: https://gxplex.com/api/v1/series.jsonl
 HTTP 200 · 66,543 bytes returned direct 2,451 chars eb42a10342ad597462395f790b666b2c47c8b8ff10b10201ca66c02dba3195e9
2026-09-11·1
Cite this observation 
GxPlex observation record ema-ai-reflection 2026-09-11·1
Document:    EMA reflection paper on the use of artificial intelligence in the medicinal product lifecycle
Observed:    2026-09-11 (record 1 of that day)
Answered at: https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle-scientific-guideline
Response:    HTTP 200, fetched direct, 64,922 bytes returned
Digest:      SHA-256 863f5ab39635ca89bc0ae1c49ddd75740616ef2970e9651d56e69fca0634ce01
             1,932 characters of normalised text.
             The digest is of the NORMALISED text, not of the bytes served:
             tags, scripts, navigation and volatile strings are removed before
             hashing, so hashing the source as served will not reproduce it.
             Normalisation is described at https://gxplex.com/methodology; the
             command that recomputes a digest is published at
             https://gxplex.com/verify.
Capture:     https://web.archive.org/web/20260911080017/https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle-scientific-guideline
             (Internet Archive, submitted 2026-09-11 — the day this
             observation was recorded, UTC.)
Permalink:   https://gxplex.com/observations/ema-ai-reflection#obs-2026-09-11-1
Full record: https://gxplex.com/api/v1/series.jsonl
 HTTP 200 · 64,922 bytes returned · content changed direct 1,932 chars 863f5ab39635ca89bc0ae1c49ddd75740616ef2970e9651d56e69fca0634ce01
2026-09-12·1
Cite this observation 
GxPlex observation record ema-ai-reflection 2026-09-12·1
Document:    EMA reflection paper on the use of artificial intelligence in the medicinal product lifecycle
Observed:    2026-09-12 (record 1 of that day)
Answered at: https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle-scientific-guideline
Response:    HTTP 200, fetched direct, 65,757 bytes returned
Digest:      SHA-256 eb42a10342ad597462395f790b666b2c47c8b8ff10b10201ca66c02dba3195e9
             2,451 characters of normalised text.
             The digest is of the NORMALISED text, not of the bytes served:
             tags, scripts, navigation and volatile strings are removed before
             hashing, so hashing the source as served will not reproduce it.
             Normalisation is described at https://gxplex.com/methodology; the
             command that recomputes a digest is published at
             https://gxplex.com/verify.
Capture:     https://web.archive.org/web/20260912080016/https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle-scientific-guideline
             (Internet Archive, submitted 2026-09-12 — the day this
             observation was recorded, UTC.)
Permalink:   https://gxplex.com/observations/ema-ai-reflection#obs-2026-09-12-1
Full record: https://gxplex.com/api/v1/series.jsonl
 HTTP 200 · 65,757 bytes returned · content changed direct 2,451 chars eb42a10342ad597462395f790b666b2c47c8b8ff10b10201ca66c02dba3195e9
2026-09-13·1
Cite this observation 
GxPlex observation record ema-ai-reflection 2026-09-13·1
Document:    EMA reflection paper on the use of artificial intelligence in the medicinal product lifecycle
Observed:    2026-09-13 (record 1 of that day)
Answered at: https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle-scientific-guideline
Response:    HTTP 200, fetched direct, 65,753 bytes returned
Digest:      SHA-256 eb42a10342ad597462395f790b666b2c47c8b8ff10b10201ca66c02dba3195e9
             2,451 characters of normalised text.
             The digest is of the NORMALISED text, not of the bytes served:
             tags, scripts, navigation and volatile strings are removed before
             hashing, so hashing the source as served will not reproduce it.
             Normalisation is described at https://gxplex.com/methodology; the
             command that recomputes a digest is published at
             https://gxplex.com/verify.
Capture:     https://web.archive.org/web/20260912080016/https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle-scientific-guideline
             (Internet Archive, submitted 2026-09-12, before this observation
             was recorded on 2026-09-13 UTC. NOT a capture of this
             observation.)
Permalink:   https://gxplex.com/observations/ema-ai-reflection#obs-2026-09-13-1
Full record: https://gxplex.com/api/v1/series.jsonl
 HTTP 200 · 65,753 bytes returned direct 2,451 chars eb42a10342ad597462395f790b666b2c47c8b8ff10b10201ca66c02dba3195e9
2026-09-14·1
Cite this observation 
GxPlex observation record ema-ai-reflection 2026-09-14·1
Document:    EMA reflection paper on the use of artificial intelligence in the medicinal product lifecycle
Observed:    2026-09-14 (record 1 of that day)
Answered at: https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle-scientific-guideline
Response:    HTTP 200, fetched direct, 64,919 bytes returned
Digest:      SHA-256 863f5ab39635ca89bc0ae1c49ddd75740616ef2970e9651d56e69fca0634ce01
             1,932 characters of normalised text.
             The digest is of the NORMALISED text, not of the bytes served:
             tags, scripts, navigation and volatile strings are removed before
             hashing, so hashing the source as served will not reproduce it.
             Normalisation is described at https://gxplex.com/methodology; the
             command that recomputes a digest is published at
             https://gxplex.com/verify.
Capture:     https://web.archive.org/web/20260912080016/https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle-scientific-guideline
             (Internet Archive, submitted 2026-09-12, before this observation
             was recorded on 2026-09-14 UTC. NOT a capture of this
             observation.)
Permalink:   https://gxplex.com/observations/ema-ai-reflection#obs-2026-09-14-1
Full record: https://gxplex.com/api/v1/series.jsonl
 HTTP 200 · 64,919 bytes returned · content changed direct 1,932 chars 863f5ab39635ca89bc0ae1c49ddd75740616ef2970e9651d56e69fca0634ce01
2026-09-15·1
Cite this observation 
GxPlex observation record ema-ai-reflection 2026-09-15·1
Document:    EMA reflection paper on the use of artificial intelligence in the medicinal product lifecycle
Observed:    2026-09-15 (record 1 of that day)
Answered at: https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle-scientific-guideline
Response:    HTTP 200, fetched direct, 64,920 bytes returned
Digest:      SHA-256 863f5ab39635ca89bc0ae1c49ddd75740616ef2970e9651d56e69fca0634ce01
             1,932 characters of normalised text.
             The digest is of the NORMALISED text, not of the bytes served:
             tags, scripts, navigation and volatile strings are removed before
             hashing, so hashing the source as served will not reproduce it.
             Normalisation is described at https://gxplex.com/methodology; the
             command that recomputes a digest is published at
             https://gxplex.com/verify.
Capture:     https://web.archive.org/web/20260912080016/https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle-scientific-guideline
             (Internet Archive, submitted 2026-09-12, before this observation
             was recorded on 2026-09-15 UTC. NOT a capture of this
             observation.)
Permalink:   https://gxplex.com/observations/ema-ai-reflection#obs-2026-09-15-1
Full record: https://gxplex.com/api/v1/series.jsonl
 HTTP 200 · 64,920 bytes returned direct 1,932 chars 863f5ab39635ca89bc0ae1c49ddd75740616ef2970e9651d56e69fca0634ce01
2026-09-16·1
Cite this observation 
GxPlex observation record ema-ai-reflection 2026-09-16·1
Document:    EMA reflection paper on the use of artificial intelligence in the medicinal product lifecycle
Observed:    2026-09-16 (record 1 of that day)
Answered at: https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle-scientific-guideline
Response:    HTTP 200, fetched direct, 65,753 bytes returned
Digest:      SHA-256 eb42a10342ad597462395f790b666b2c47c8b8ff10b10201ca66c02dba3195e9
             2,451 characters of normalised text.
             The digest is of the NORMALISED text, not of the bytes served:
             tags, scripts, navigation and volatile strings are removed before
             hashing, so hashing the source as served will not reproduce it.
             Normalisation is described at https://gxplex.com/methodology; the
             command that recomputes a digest is published at
             https://gxplex.com/verify.
Capture:     https://web.archive.org/web/20260912080016/https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle-scientific-guideline
             (Internet Archive, submitted 2026-09-12, before this observation
             was recorded on 2026-09-16 UTC. NOT a capture of this
             observation.)
Permalink:   https://gxplex.com/observations/ema-ai-reflection#obs-2026-09-16-1
Full record: https://gxplex.com/api/v1/series.jsonl
 HTTP 200 · 65,753 bytes returned · content changed direct 2,451 chars eb42a10342ad597462395f790b666b2c47c8b8ff10b10201ca66c02dba3195e9
2026-09-17·1
Cite this observation 
GxPlex observation record ema-ai-reflection 2026-09-17·1
Document:    EMA reflection paper on the use of artificial intelligence in the medicinal product lifecycle
Observed:    2026-09-17 (record 1 of that day)
Answered at: https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle-scientific-guideline
Response:    HTTP 200, fetched direct, 65,747 bytes returned
Digest:      SHA-256 eb42a10342ad597462395f790b666b2c47c8b8ff10b10201ca66c02dba3195e9
             2,451 characters of normalised text.
             The digest is of the NORMALISED text, not of the bytes served:
             tags, scripts, navigation and volatile strings are removed before
             hashing, so hashing the source as served will not reproduce it.
             Normalisation is described at https://gxplex.com/methodology; the
             command that recomputes a digest is published at
             https://gxplex.com/verify.
Capture:     https://web.archive.org/web/20260912080016/https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle-scientific-guideline
             (Internet Archive, submitted 2026-09-12, before this observation
             was recorded on 2026-09-17 UTC. NOT a capture of this
             observation.)
Permalink:   https://gxplex.com/observations/ema-ai-reflection#obs-2026-09-17-1
Full record: https://gxplex.com/api/v1/series.jsonl
 HTTP 200 · 65,747 bytes returned direct 2,451 chars eb42a10342ad597462395f790b666b2c47c8b8ff10b10201ca66c02dba3195e9
2026-09-18·1
Cite this observation 
GxPlex observation record ema-ai-reflection 2026-09-18·1
Document:    EMA reflection paper on the use of artificial intelligence in the medicinal product lifecycle
Observed:    2026-09-18 (record 1 of that day)
Answered at: https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle-scientific-guideline
Response:    HTTP 200, fetched direct, 65,757 bytes returned
Digest:      SHA-256 eb42a10342ad597462395f790b666b2c47c8b8ff10b10201ca66c02dba3195e9
             2,451 characters of normalised text.
             The digest is of the NORMALISED text, not of the bytes served:
             tags, scripts, navigation and volatile strings are removed before
             hashing, so hashing the source as served will not reproduce it.
             Normalisation is described at https://gxplex.com/methodology; the
             command that recomputes a digest is published at
             https://gxplex.com/verify.
Capture:     https://web.archive.org/web/20260912080016/https://www.ema.europa.eu/en/use-artificial-intelligence-ai-medicinal-product-lifecycle-scientific-guideline
             (Internet Archive, submitted 2026-09-12, before this observation
             was recorded on 2026-09-18 UTC. NOT a capture of this
             observation.)
Permalink:   https://gxplex.com/observations/ema-ai-reflection#obs-2026-09-18-1
Full record: https://gxplex.com/api/v1/series.jsonl
 HTTP 200 · 65,757 bytes returned direct 2,451 chars eb42a10342ad597462395f790b666b2c47c8b8ff10b10201ca66c02dba3195e9

Every record above is published untruncated at /api/v1/series.jsonl, which carries the same sequence these addresses are built from.