Pith Number
pith:LHSKPG3K
pith:2026:LHSKPG3K4BSZNTLTKIZTYLXYLI
not attested
not anchored
not stored
refs pending
The K-Space Signature: Frequency-Domain Representation Learning for Medical Deepfake Detection
arxiv:2607.29541 v1 · 2026-07-31 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{LHSKPG3K4BSZNTLTKIZTYLXYLI}
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
✓
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 | 2026-08-03T01:37:53.911330Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
59e4a79b6ae06596cd7352333c2ef85a1655216cecca580183c21335b869c3b8
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/LHSKPG3K4BSZNTLTKIZTYLXYLI \
| 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: 59e4a79b6ae06596cd7352333c2ef85a1655216cecca580183c21335b869c3b8
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "aa3f8639b0fa265df54c34ec1ec81b4f4a00163f7dd16d78028d478112377084",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2026-07-31T15:36:35Z",
"title_canon_sha256": "3f155eb39bb348ff21da00f1db59dfa331c547d66669bf116599b079ee09a62e"
},
"schema_version": "1.0",
"source": {
"id": "2607.29541",
"kind": "arxiv",
"version": 1
}
}