Pith Number
pith:QBWDMAEA
pith:2023:QBWDMAEA2LQWM56EY3R7WMBQP4
not attested
not anchored
not stored
refs pending
Can Large Language Models be Good Path Planners? A Benchmark and Investigation on Spatial-temporal Reasoning
arxiv:2310.03249 v3 · 2023-10-05 · cs.CL
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{QBWDMAEA2LQWM56EY3R7WMBQP4}
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
· sign in to
claim
4
Citations
5
Replications
✓
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 | 2026-07-05T10:18:33.065116Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
806c360080d2e16677c4c6e3fb30307f1c288fbdf4887145e57ad89bf8c34cd2
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/QBWDMAEA2LQWM56EY3R7WMBQP4 \
| 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: 806c360080d2e16677c4c6e3fb30307f1c288fbdf4887145e57ad89bf8c34cd2
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "ff21f5307e707d61ce6cf5b795c0ffb1331d8b1ac0cd38a8818fc26ca0077b91",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.CL",
"submitted_at": "2023-10-05T01:42:16Z",
"title_canon_sha256": "be6344f74d3cbb4cc9d7de299859d39ba57645e4d0495d37d48abc88b4e89bc0"
},
"schema_version": "1.0",
"source": {
"id": "2310.03249",
"kind": "arxiv",
"version": 3
}
}