Pith Number
pith:JWNEWAZJ
pith:2025:JWNEWAZJUGPPAPJKCOQZJRMCSA
not attested
not anchored
not stored
refs pending
CAD: A General Multimodal Framework for Video Deepfake Detection via Cross-Modal Alignment and Distillation
arxiv:2505.15233 v1 · 2025-05-21 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{JWNEWAZJUGPPAPJKCOQZJRMCSA}
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
· sign in to
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.
Cited by
Receipt and verification
| First computed | 2026-07-05T11:06:42.409196Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
4d9a4b0329a19ef03d2a13a194c5829037611784e38a9627c57b8bd1119d17ce
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/JWNEWAZJUGPPAPJKCOQZJRMCSA \
| 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: 4d9a4b0329a19ef03d2a13a194c5829037611784e38a9627c57b8bd1119d17ce
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "c171d8bf572ac7805b4407dec6da77ed9e698bf93d2ad22c72c76e3f1af45d7f",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/publicdomain/zero/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2025-05-21T08:11:07Z",
"title_canon_sha256": "4581c64ba2b05a17aa1873e1dc022646162a9b8a93a4f3dd7012890a7cb6ff91"
},
"schema_version": "1.0",
"source": {
"id": "2505.15233",
"kind": "arxiv",
"version": 1
}
}