Pith Number
pith:P2U2XR4R
pith:2024:P2U2XR4RWVNK3EUNZBNK5Y6VFB
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not stored
refs pending
Are Large Language Models (LLMs) Good Social Predictors?
arxiv:2402.12620 v1 · 2024-02-20 · cs.CY
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{P2U2XR4RWVNK3EUNZBNK5Y6VFB}
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
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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 | 2026-07-05T07:47:14.068946Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
7ea9abc791b55aad928dc85aaee3d52874ac7007629385253a24132ae0d36181
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/P2U2XR4RWVNK3EUNZBNK5Y6VFB \
| 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: 7ea9abc791b55aad928dc85aaee3d52874ac7007629385253a24132ae0d36181
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "3adadfa171b72eaf98343c9479b0a37b9a47f38456c04e3fff1530741e39acc2",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.CY",
"submitted_at": "2024-02-20T00:59:22Z",
"title_canon_sha256": "51b103c72472f6c329e810d4d690d83a01efeeba3f6c52961a8b16299b2fa35a"
},
"schema_version": "1.0",
"source": {
"id": "2402.12620",
"kind": "arxiv",
"version": 1
}
}