Pith Number
pith:IT2T7BOS
pith:2025:IT2T7BOSYB6DUM72OS26Z22KSP
not attested
not anchored
not stored
refs pending
AD-FM: Multimodal LLMs for Anomaly Detection via Multi-Stage Reasoning and Fine-Grained Reward Optimization
arxiv:2508.04175 v1 · 2025-08-06 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{IT2T7BOSYB6DUM72OS26Z22KSP}
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 | 2026-07-05T11:49:22.109957Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
44f53f85d2c07c3a33fa74b5eceb4a93c1c6532b08a273b76c325d1cc95f8dce
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/IT2T7BOSYB6DUM72OS26Z22KSP \
| 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: 44f53f85d2c07c3a33fa74b5eceb4a93c1c6532b08a273b76c325d1cc95f8dce
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "2dd4d14eb607af857b4e96946c94243b30f432c1d7147d1087464fd6983f1229",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.CV",
"submitted_at": "2025-08-06T08:00:27Z",
"title_canon_sha256": "9945fb138f71a82dc1eb8a3ca123390f2c2b3f285264c374e28a8186b060943f"
},
"schema_version": "1.0",
"source": {
"id": "2508.04175",
"kind": "arxiv",
"version": 1
}
}