Pith Number
pith:3QLEHAIY
pith:2025:3QLEHAIYDPD3VLN4U4K5AAAJCO
not attested
not anchored
not stored
refs pending
Can Large Language Models Be Trusted Paper Reviewers? A Feasibility Study
arxiv:2506.17311 v1 · 2025-06-18 · cs.CY
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{3QLEHAIYDPD3VLN4U4K5AAAJCO}
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
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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.
Receipt and verification
| First computed | 2026-07-05T11:25:15.487434Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
dc164381181bc7baadbca715d000091382271fe586e9133f8a2ffc9c27ac0a6e
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/3QLEHAIYDPD3VLN4U4K5AAAJCO \
| 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: dc164381181bc7baadbca715d000091382271fe586e9133f8a2ffc9c27ac0a6e
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "809669f377bda5ae57ea8a6f9b6fb75020b2f1fe50c3a3af74010488314a9954",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CY",
"submitted_at": "2025-06-18T10:19:18Z",
"title_canon_sha256": "044476b9bd157058476c2042085aa060772a1b75f5f60ff0ad1f3222252c212f"
},
"schema_version": "1.0",
"source": {
"id": "2506.17311",
"kind": "arxiv",
"version": 1
}
}