Pith Number
pith:64N45R2J
pith:2026:64N45R2JHZ7AS5GUQPXFSHO2AJ
not attested
not anchored
not stored
refs pending
Comparative Evaluation of Deep Learning Models for Fake Image Detection
arxiv:2605.20971 v1 · 2026-05-20 · cs.CV · cs.AI · cs.CR
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{64N45R2JHZ7AS5GUQPXFSHO2AJ}
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
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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 | 2026-05-21T01:05:30.498069Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
f71bcec7493e7e0974d483ee591dda0257404599b3c289a75c047285f52b53b8
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/64N45R2JHZ7AS5GUQPXFSHO2AJ \
| 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: f71bcec7493e7e0974d483ee591dda0257404599b3c289a75c047285f52b53b8
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "93c745ea41d15d426be58bafc1054a280ecfd12750455a254b5b40ed084349a3",
"cross_cats_sorted": [
"cs.AI",
"cs.CR"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2026-05-20T09:57:58Z",
"title_canon_sha256": "ea138fce1c611de5b5e56681da9427a1e5c2e0cdcefe9525ea881ef0a360e2dd"
},
"schema_version": "1.0",
"source": {
"id": "2605.20971",
"kind": "arxiv",
"version": 1
}
}