Pith Number
pith:JCQ7KKTA
pith:2025:JCQ7KKTAWXSXP6AV7SX6FGVW5D
not attested
not anchored
not stored
refs pending
LAID: Lightweight AI-Generated Image Detection in Spatial and Spectral Domains
arxiv:2507.05162 v1 · 2025-07-07 · cs.CV · cs.AI · cs.CR
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{JCQ7KKTAWXSXP6AV7SX6FGVW5D}
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 | 2026-07-05T11:33:10.108729Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
48a1f52a60b5e577f815fcafe29ab6e8d098a585657e18c0a0803dc744882c18
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/JCQ7KKTAWXSXP6AV7SX6FGVW5D \
| 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: 48a1f52a60b5e577f815fcafe29ab6e8d098a585657e18c0a0803dc744882c18
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "44fcb72c9910b5da4bc0cdda8529ff0671f731a3b30410d668d0378ff52f94c8",
"cross_cats_sorted": [
"cs.AI",
"cs.CR"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.CV",
"submitted_at": "2025-07-07T16:18:19Z",
"title_canon_sha256": "133452f250bdbfa0f0aff8ef8133d38d1b57ccf343d24ac0b5f936bfede15755"
},
"schema_version": "1.0",
"source": {
"id": "2507.05162",
"kind": "arxiv",
"version": 1
}
}