Pith Number
pith:DOLCOMU4
pith:2023:DOLCOMU4ZMPUBBKSGK5ZV6F2LQ
not attested
not anchored
not stored
refs pending
Safety Analysis in the Era of Large Language Models: A Case Study of STPA using ChatGPT
arxiv:2304.01246 v3 · 2023-04-03 · cs.CL · cs.AI · cs.CY · cs.SE
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{DOLCOMU4ZMPUBBKSGK5ZV6F2LQ}
Prints a linked badge after your title and injects PDF metadata. Compiles on arXiv. Learn more · Embed verified badge
Record completeness
1
Bitcoin timestamp
2
Internet Archive
3
Author claim
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claim
4
Citations
5
Replications
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Portable graph bundle live · download bundle · merged
state
The bundle contains the canonical record plus signed events. A mirror can host it anywhere and recompute the same
current state with the deterministic merge algorithm.
Cited by
Receipt and verification
| First computed | 2026-07-05T10:13:36.645893Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
1b9627329ccb1f40855232bb9af8ba5c0834742dc900b965321f3827a664da4e
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/DOLCOMU4ZMPUBBKSGK5ZV6F2LQ \
| jq -c '.canonical_record' \
| python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
# expect: 1b9627329ccb1f40855232bb9af8ba5c0834742dc900b965321f3827a664da4e
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "cee22fc4e0b4406e2b7999659063404cfd617c5f476fd3f25e839b2b1e289ba5",
"cross_cats_sorted": [
"cs.AI",
"cs.CY",
"cs.SE"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.CL",
"submitted_at": "2023-04-03T16:46:49Z",
"title_canon_sha256": "64ce207c7d2c1b2f38bb9d00fd5d67b041c740e9d2b8b5e386e23eb9c2f25b88"
},
"schema_version": "1.0",
"source": {
"id": "2304.01246",
"kind": "arxiv",
"version": 3
}
}