Pith Number
pith:NMTHFMQI
pith:2026:NMTHFMQIV7MSQ44IP52AYS5IBX
not attested
not anchored
not stored
refs pending
Beyond Visual Forensics: Auditing Multimodal Robustness for Synthetic Medical Image Detection
arxiv:2606.25375 v1 · 2026-06-24 · cs.CV · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{NMTHFMQIV7MSQ44IP52AYS5IBX}
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.
Receipt and verification
| First computed | 2026-06-25T01:18:03.603476Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
6b2672b208afd92873887f740c4ba80de975d5d8c4837613e1cf309042335331
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/NMTHFMQIV7MSQ44IP52AYS5IBX \
| 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: 6b2672b208afd92873887f740c4ba80de975d5d8c4837613e1cf309042335331
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "0bb8718a8569c8d8799b52c598876533cb6898ba50fc45b976cf63350f10191d",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2026-06-24T04:08:41Z",
"title_canon_sha256": "503a77a43b9b44c29f2173c54a38c5f2c215c6de51ccd938bc842b490fb6264f"
},
"schema_version": "1.0",
"source": {
"id": "2606.25375",
"kind": "arxiv",
"version": 1
}
}