Pith Number
pith:VDPWI3LS
pith:2024:VDPWI3LSCFYJTID64FUEK2RQBS
not attested
not anchored
not stored
refs pending
Can Graph Learning Improve Planning in LLM-based Agents?
arxiv:2405.19119 v3 · 2024-05-29 · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{VDPWI3LSCFYJTID64FUEK2RQBS}
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.
Receipt and verification
| First computed | 2026-07-05T09:26:27.224621Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
a8df646d72117099a07ee168456a300c94273ae9728b121b2d4a3f2dbe6cb89f
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/VDPWI3LSCFYJTID64FUEK2RQBS \
| 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: a8df646d72117099a07ee168456a300c94273ae9728b121b2d4a3f2dbe6cb89f
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "283e7e31e8c0eae11c5840d97fe93e1f8d43094c7ad5f2f18afc679665b7ac91",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2024-05-29T14:26:24Z",
"title_canon_sha256": "4eddfb50259bd6cd13a63c343c7a2cb4d77026c261353b9236a8d76e2c59d800"
},
"schema_version": "1.0",
"source": {
"id": "2405.19119",
"kind": "arxiv",
"version": 3
}
}