Pith Number
pith:7GPE4URL
pith:2024:7GPE4URLWR3LOWXAO3GSG2ZXEY
not attested
not anchored
not stored
refs pending
Can LLMs Evaluate Complex Attribution in QA? Automatic Benchmarking using Knowledge Graphs
arxiv:2401.14640 v2 · 2024-01-26 · cs.CL
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{7GPE4URLWR3LOWXAO3GSG2ZXEY}
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 | 2026-07-05T11:29:47.388308Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
f99e4e522bb476b75ae076cd236b37261291a41301170034fd61c75987490f92
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/7GPE4URLWR3LOWXAO3GSG2ZXEY \
| 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: f99e4e522bb476b75ae076cd236b37261291a41301170034fd61c75987490f92
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "5ad3fa644345cef1cea14525bdc7b20ebbc78442cd6e9b6b88a3c2efcce70850",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CL",
"submitted_at": "2024-01-26T04:11:07Z",
"title_canon_sha256": "3a05d8d1012d3a1e272120e551d23d2205890a051777043cde6ae5f930f2ed80"
},
"schema_version": "1.0",
"source": {
"id": "2401.14640",
"kind": "arxiv",
"version": 2
}
}