Pith Number
pith:NZ7G6LTT
pith:2025:NZ7G6LTTJ3JHAO4QUGLVN2NZVB
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Can Large Multimodal Models Actively Recognize Faulty Inputs? A Systematic Evaluation Framework of Their Input Scrutiny Ability
arxiv:2508.04017 v1 · 2025-08-06 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{NZ7G6LTTJ3JHAO4QUGLVN2NZVB}
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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 | 2026-07-05T11:49:19.136359Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
6e7e6f2e734ed2703b90a19756e9b9a849c7dba0275f2fbcdb1781f3c181aa89
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/NZ7G6LTTJ3JHAO4QUGLVN2NZVB \
| 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: 6e7e6f2e734ed2703b90a19756e9b9a849c7dba0275f2fbcdb1781f3c181aa89
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "b75ac953dd73af0ae743a35a8c2fb8b507ee00f1e3ba7e0fc44df9ae0eb8e0fa",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2025-08-06T02:13:46Z",
"title_canon_sha256": "84f8665846ec908f8ad761d9da6a5c8204b5aa08337c9e4680317204afaaa35d"
},
"schema_version": "1.0",
"source": {
"id": "2508.04017",
"kind": "arxiv",
"version": 1
}
}