Pith Number
pith:KXBLHR3D
pith:2023:KXBLHR3DXLCGZYK6LGHIN47P2X
not attested
not anchored
not stored
refs pending
Can Large Language Models Really Improve by Self-critiquing Their Own Plans?
arxiv:2310.08118 v1 · 2023-10-12 · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{KXBLHR3DXLCGZYK6LGHIN47P2X}
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 | 2026-07-05T07:00:10.328055Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
55c2b3c763bac46ce15e598e86f3efd5f5f1ade37dfc05757bbd9b8918282771
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/KXBLHR3DXLCGZYK6LGHIN47P2X \
| 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: 55c2b3c763bac46ce15e598e86f3efd5f5f1ade37dfc05757bbd9b8918282771
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "7e2901d8293721d5c65c4cfbf6f268e4355e26570f2f0841ff5662ca54d7b4ff",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.AI",
"submitted_at": "2023-10-12T08:22:37Z",
"title_canon_sha256": "7af771630f642e56a4ccdf38c174a6efb4f2946fab383775d137525fde68f4f7"
},
"schema_version": "1.0",
"source": {
"id": "2310.08118",
"kind": "arxiv",
"version": 1
}
}