Pith Number
pith:5CARTMTN
pith:2025:5CARTMTNATZ2MQXU7OTUFLSGTW
not attested
not anchored
not stored
refs pending
Redefining Generalization in Visual Domains: A Two-Axis Framework for Fake Image Detection with FusionDetect
arxiv:2510.05740 v2 · 2025-10-07 · cs.CV · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{5CARTMTNATZ2MQXU7OTUFLSGTW}
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 | 2026-08-17T01:12:48.476601Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
e88119b26d04f3a642f4fba742ae469db14e23a7d59c72c9339202bdb7f0b5be
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/5CARTMTNATZ2MQXU7OTUFLSGTW \
| 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: e88119b26d04f3a642f4fba742ae469db14e23a7d59c72c9339202bdb7f0b5be
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "26acce7bcb905460bdb38c9f0777062c207e0c257308fe61f9c5f5962b6108ab",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2025-10-07T10:01:32Z",
"title_canon_sha256": "220d71bdae0a7b4108954e3d537d9df702bd611219f129c2ea02f7c64698eb45"
},
"schema_version": "1.0",
"source": {
"id": "2510.05740",
"kind": "arxiv",
"version": 2
}
}