Pith Number
pith:KAVTGVC7
pith:2019:KAVTGVC7JVK6XP5444YY45M23N
not attested
not anchored
not stored
refs pending
FaceForensics++: Learning to Detect Manipulated Facial Images
arxiv:1901.08971 v3 · 2019-01-25 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{KAVTGVC7JVK6XP5444YY45M23N}
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.
Cited by
Receipt and verification
| First computed | 2026-07-04T23:59:30.184275Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
502b33545f4d55ebbfbce7318e759adb690a7c9c9cc1f3eef57bf4bbc53b049a
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/KAVTGVC7JVK6XP5444YY45M23N \
| 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: 502b33545f4d55ebbfbce7318e759adb690a7c9c9cc1f3eef57bf4bbc53b049a
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "9b8595dd64b404d057f136947b102eaf7a413d721b48e623f3591a8035a7db4b",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2019-01-25T16:38:21Z",
"title_canon_sha256": "d7f5f3865ecdc0c5cfcbf3d5e37e8a54c319f468a3ca04c254d9b4dde048a51f"
},
"schema_version": "1.0",
"source": {
"id": "1901.08971",
"kind": "arxiv",
"version": 3
}
}