Pith Number
pith:SLRTDSXK
pith:2024:SLRTDSXKWC35OVFQXQ7TAVNNRG
not attested
not anchored
not stored
refs pending
FakeBench: Probing Explainable Fake Image Detection via Large Multimodal Models
arxiv:2404.13306 v2 · 2024-04-20 · cs.CV · cs.MM
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{SLRTDSXKWC35OVFQXQ7TAVNNRG}
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 | 2026-07-05T09:04:35.166609Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
92e331caeab0b7d754b0bc3f3055ad89979a2cbc898cf3093fcdea7bd8dce70d
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/SLRTDSXKWC35OVFQXQ7TAVNNRG \
| 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: 92e331caeab0b7d754b0bc3f3055ad89979a2cbc898cf3093fcdea7bd8dce70d
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "07b53d740974878df070038b15e26b5631b11cb317b1870b35fc3baea81a4190",
"cross_cats_sorted": [
"cs.MM"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2024-04-20T07:28:55Z",
"title_canon_sha256": "a29ba134638b64735b0c70db8f9869002d6f787520c008a1905e6f8ba34bde13"
},
"schema_version": "1.0",
"source": {
"id": "2404.13306",
"kind": "arxiv",
"version": 2
}
}