Pith Number
pith:DQ5F34VK
pith:2025:DQ5F34VKCGIER7PSG3A6TTTKPA
not attested
not anchored
not stored
refs pending
Can LLMs Be Trusted for Evaluating RAG Systems? A Survey of Methods and Datasets
arxiv:2504.20119 v2 · 2025-04-28 · cs.IR · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{DQ5F34VKCGIER7PSG3A6TTTKPA}
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Record completeness
1
Bitcoin timestamp
2
Internet Archive
3
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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 | 2026-07-05T11:49:54.020593Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
1c3a5df2aa119048fdf236c1e9ce6a782c20d18d31eb1c9d313837e3e187c4c8
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/DQ5F34VKCGIER7PSG3A6TTTKPA \
| 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: 1c3a5df2aa119048fdf236c1e9ce6a782c20d18d31eb1c9d313837e3e187c4c8
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "af557517cbe53aaf10d1d2cc163421b4ad399b26592d25465c8c0ece47b2f42e",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.IR",
"submitted_at": "2025-04-28T08:22:19Z",
"title_canon_sha256": "537e654e4704d4b37e7d7fef34df7744cab1ffaf45b02dea7b77607c2d277901"
},
"schema_version": "1.0",
"source": {
"id": "2504.20119",
"kind": "arxiv",
"version": 2
}
}