Pith Number
pith:FN5TMWB3
pith:2025:FN5TMWB36WJJ4GZHST6UU6ZQ62
not attested
not anchored
not stored
refs pending
Prompt-Based Monte Carlo Tree Search for Mitigating Hallucinations in Large Models
arxiv:2501.13942 v1 · 2025-01-17 · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{FN5TMWB36WJJ4GZHST6UU6ZQ62}
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 | 2026-07-05T10:04:42.652401Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
2b7b36583bf5929e1b2794fd4a7b30f6a2237ece4685067114be958fc2f994ec
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/FN5TMWB36WJJ4GZHST6UU6ZQ62 \
| 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: 2b7b36583bf5929e1b2794fd4a7b30f6a2237ece4685067114be958fc2f994ec
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "a0bb020e4e63eca3bff3eb220c58e73bfa131935e93aa031ca75b83bc99d73f3",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.AI",
"submitted_at": "2025-01-17T23:06:50Z",
"title_canon_sha256": "4fbeab18b6d47371826b3e63528f0bfe893078af644a1824f8466a921f71672a"
},
"schema_version": "1.0",
"source": {
"id": "2501.13942",
"kind": "arxiv",
"version": 1
}
}