Pith Number
pith:IUGFP2LJ
pith:2025:IUGFP2LJFD3ZRXCFCTTRDTPDMY
not attested
not anchored
not stored
refs pending
Can LLM-Reasoning Models Replace Classical Planning? A Benchmark Study
arxiv:2507.23589 v1 · 2025-07-31 · cs.RO · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{IUGFP2LJFD3ZRXCFCTTRDTPDMY}
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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
Process Reward Models Meet Planning: Generating Precise and Scalable Datasets for Step-Level Rewards
Receipt and verification
| First computed | 2026-07-05T11:46:27.325307Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
450c57e96928f798dc4514e711cde36626fe79859b1dfa36b5326759986d6c1f
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/IUGFP2LJFD3ZRXCFCTTRDTPDMY \
| 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: 450c57e96928f798dc4514e711cde36626fe79859b1dfa36b5326759986d6c1f
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "76af78c8e06e9d9476ec2cc75906005210c7fb706a238a03580f73d26862e753",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.RO",
"submitted_at": "2025-07-31T14:25:54Z",
"title_canon_sha256": "4a0f35e832476c4ad10f3f2cb2eba0cf0858a5a9a5f3bf251fb7b709bb90bcd3"
},
"schema_version": "1.0",
"source": {
"id": "2507.23589",
"kind": "arxiv",
"version": 1
}
}