Pith Number
pith:X73MWLMF
pith:2025:X73MWLMFL4TC3CIJNEUHHRPQH3
not attested
not anchored
not stored
refs pending
Lost in Sequence: Do Large Language Models Understand Sequential Recommendation?
arxiv:2502.13909 v4 · 2025-02-19 · cs.IR · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{X73MWLMFL4TC3CIJNEUHHRPQH3}
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 | 2026-07-05T11:19:51.496485Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
bff6cb2d855f262d8909692873c5f03ef69c86a1427e732866c8a2a5e6741a74
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/X73MWLMFL4TC3CIJNEUHHRPQH3 \
| 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: bff6cb2d855f262d8909692873c5f03ef69c86a1427e732866c8a2a5e6741a74
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "420fa9046c9e20c664c523e05ee868ddb522e5704dd8b0745e24460af5f11765",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.IR",
"submitted_at": "2025-02-19T17:41:09Z",
"title_canon_sha256": "3869a48257b3b330a2315d23b88a4228efe90e3e5d8908091da298b02cabcbd0"
},
"schema_version": "1.0",
"source": {
"id": "2502.13909",
"kind": "arxiv",
"version": 4
}
}