Pith Number
pith:YMXMWFUE
pith:2024:YMXMWFUE6BF7EJLG4S37TV66ST
not attested
not anchored
not stored
refs pending
Tapping the Potential of Large Language Models as Recommender Systems: A Comprehensive Framework and Empirical Analysis
arxiv:2401.04997 v2 · 2024-01-10 · cs.IR
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{YMXMWFUE6BF7EJLG4S37TV66ST}
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 | 2026-07-05T10:01:31.913138Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
c32ecb1684f04bf22566e4b7f9d7de94c7a37d47437db0d6e68273c7c6b1d8a4
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/YMXMWFUE6BF7EJLG4S37TV66ST \
| 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: c32ecb1684f04bf22566e4b7f9d7de94c7a37d47437db0d6e68273c7c6b1d8a4
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "ca6f519f03fa0672d374403c0ea851f720b5bf3b19e097642123f8205bbe09f3",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.IR",
"submitted_at": "2024-01-10T08:28:56Z",
"title_canon_sha256": "f7dcd5e09b787d671251743e7be75006df6a38869f1a2b92f8f7ab5b93026b5c"
},
"schema_version": "1.0",
"source": {
"id": "2401.04997",
"kind": "arxiv",
"version": 2
}
}