Pith Number
pith:PFJ5JRHE
pith:2024:PFJ5JRHELLFYYDJI3ZWMP2KOKS
not attested
not anchored
not stored
refs pending
AI Safety in Generative AI Large Language Models: A Survey
arxiv:2407.18369 v1 · 2024-07-06 · cs.CY · cs.CL
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{PFJ5JRHELLFYYDJI3ZWMP2KOKS}
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 | 2026-07-05T08:48:48.663045Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
7953d4c4e45acb8c0d28de6cc7e94e549552d34ab7b5ab43bfeae6cb1d891938
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/PFJ5JRHELLFYYDJI3ZWMP2KOKS \
| 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: 7953d4c4e45acb8c0d28de6cc7e94e549552d34ab7b5ab43bfeae6cb1d891938
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "716feb0f2328a192b62fce7114a81f6da59def7a079b31d39e62022c82b3c711",
"cross_cats_sorted": [
"cs.CL"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CY",
"submitted_at": "2024-07-06T09:00:18Z",
"title_canon_sha256": "dfbbb99ed8e4aed4e91f71f5ea1a0c7e3610933f4c678c059f01e5728d577e98"
},
"schema_version": "1.0",
"source": {
"id": "2407.18369",
"kind": "arxiv",
"version": 1
}
}