Pith Number
pith:SLMA2OVI
pith:2025:SLMA2OVIUP6W6XTLIUMWAJDYFP
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What Makes "Good" Distractors for Object Hallucination Evaluation in Large Vision-Language Models?
arxiv:2508.06530 v1 · 2025-08-03 · cs.CV · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{SLMA2OVIUP6W6XTLIUMWAJDYFP}
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Record completeness
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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.
Receipt and verification
| First computed | 2026-07-05T11:51:01.775856Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
92d80d3aa8a3fd6f5e6b45196024782be2f7af516014b1af81144839de6669be
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/SLMA2OVIUP6W6XTLIUMWAJDYFP \
| 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: 92d80d3aa8a3fd6f5e6b45196024782be2f7af516014b1af81144839de6669be
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "e9f5509d2b7ac8bab68c915af5cdf1804aebe9aa084798db63fa2888bd1c3a75",
"cross_cats_sorted": [
"cs.LG"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2025-08-03T03:11:48Z",
"title_canon_sha256": "641f2d1857b1a0190ab6fec7cf345e8db993c8dfb584ffc3226c2bc4613e9694"
},
"schema_version": "1.0",
"source": {
"id": "2508.06530",
"kind": "arxiv",
"version": 1
}
}