Pith Number
pith:J7GHSHRK
pith:2024:J7GHSHRKT4Y3T5CEXTW4OAODTZ
not attested
not anchored
not stored
refs pending
Deep Learning Technology for Face Forgery Detection: A Survey
arxiv:2409.14289 v3 · 2024-09-22 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{J7GHSHRKT4Y3T5CEXTW4OAODTZ}
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.
Receipt and verification
| First computed | 2026-07-05T09:35:12.837529Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
4fcc791e2a9f31b9f444bcedc701c39e5c0e55fc8e51a828812a391a7aca29d5
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/J7GHSHRKT4Y3T5CEXTW4OAODTZ \
| 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: 4fcc791e2a9f31b9f444bcedc701c39e5c0e55fc8e51a828812a391a7aca29d5
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "fe198bcee5904fe5abb960f48fb053046bdfc666e1dd0035574a196c40cd7329",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2024-09-22T01:42:01Z",
"title_canon_sha256": "b138ce58ad2b40d306a038637c6dfab2786529615fc27e2343a9ca696e6167c4"
},
"schema_version": "1.0",
"source": {
"id": "2409.14289",
"kind": "arxiv",
"version": 3
}
}