Pith Number
pith:ZG3W2WIV
pith:2025:ZG3W2WIVLKO7MXVRV5BPJ6LHMR
not attested
not anchored
not stored
refs pending
Do Large Language Models Exhibit Spontaneous Rational Deception?
arxiv:2504.00285 v1 · 2025-03-31 · cs.CL
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{ZG3W2WIVLKO7MXVRV5BPJ6LHMR}
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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
Is Lying an Emergent Behaviour in LLMs? Evidence from Gaslighting AI agents in a Sustainability Game
Receipt and verification
| First computed | 2026-07-05T10:42:23.659767Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
c9b76d59155a9df65eb1af42f4f9676455d11b167c47f39ed9f5c307f106fcfe
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/ZG3W2WIVLKO7MXVRV5BPJ6LHMR \
| 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: c9b76d59155a9df65eb1af42f4f9676455d11b167c47f39ed9f5c307f106fcfe
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "c9e148892791242754b2d8f581d24c4eb6e1fb535c75e2deec90aff8dc092b51",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.CL",
"submitted_at": "2025-03-31T23:10:56Z",
"title_canon_sha256": "01c0c8961e7366fb141eb38c444ae1beb019f3f309f6c2266aa198da9d134bab"
},
"schema_version": "1.0",
"source": {
"id": "2504.00285",
"kind": "arxiv",
"version": 1
}
}