Pith Number
pith:67KCVDKT
pith:2024:67KCVDKT47VLY2QBURAUXNBWVT
not attested
not anchored
not stored
refs pending
When is Tree Search Useful for LLM Planning? It Depends on the Discriminator
arxiv:2402.10890 v2 · 2024-02-16 · cs.CL · cs.AI · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{67KCVDKT47VLY2QBURAUXNBWVT}
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 | 2026-07-05T08:28:06.121790Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
f7d42a8d53e7eabc6a01a4414bb436acee771c1d9badcdf78f5f521ac1651d34
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/67KCVDKT47VLY2QBURAUXNBWVT \
| 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: f7d42a8d53e7eabc6a01a4414bb436acee771c1d9badcdf78f5f521ac1651d34
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "b22126e04a6f6ab646159ac8e85102ae204d2b282ae9ac2f27b1799aab2cddc7",
"cross_cats_sorted": [
"cs.AI",
"cs.LG"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CL",
"submitted_at": "2024-02-16T18:45:58Z",
"title_canon_sha256": "2e8d69f332c0a8447196bf3414abe47c86b0e76413ce6785d1cc150032a5f057"
},
"schema_version": "1.0",
"source": {
"id": "2402.10890",
"kind": "arxiv",
"version": 2
}
}