Pith Number
pith:HO4Y7P7E
pith:2025:HO4Y7P7EKGURSDHI5U7QAH4PW6
not attested
not anchored
not stored
refs pending
Multi-stage Large Language Model Pipelines Can Outperform GPT-4o in Relevance Assessment
arxiv:2501.14296 v1 · 2025-01-24 · cs.IR
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{HO4Y7P7EKGURSDHI5U7QAH4PW6}
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
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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 | 2026-07-05T10:04:48.273126Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
3bb98fbfe451a9190ce8ed3f001f8fb7969d7d5d75c282aa64581b93de2fd3d8
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/HO4Y7P7EKGURSDHI5U7QAH4PW6 \
| 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: 3bb98fbfe451a9190ce8ed3f001f8fb7969d7d5d75c282aa64581b93de2fd3d8
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "1db2e00b2b0581a9fc514d7e72359db8675ffff0825fe219ea3fbe84c3549ce3",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.IR",
"submitted_at": "2025-01-24T07:33:39Z",
"title_canon_sha256": "873ca09e2975457edf44113f03e62bbaac37deaceb616d3bd192697002fdb9fb"
},
"schema_version": "1.0",
"source": {
"id": "2501.14296",
"kind": "arxiv",
"version": 1
}
}