Pith Number
pith:JA7KY4SW
pith:2019:JA7KY4SWU6GXMUUB3KFFW6Z73M
not attested
not anchored
not stored
refs pending
Multi-task Learning For Detecting and Segmenting Manipulated Facial Images and Videos
arxiv:1906.06876 v1 · 2019-06-17 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{JA7KY4SWU6GXMUUB3KFFW6Z73M}
Prints a linked badge after your title and injects PDF metadata. Compiles on arXiv. Learn more · Embed verified badge
Record completeness
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Bitcoin timestamp
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Internet Archive
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Citations
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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 | 2026-05-17T23:43:12.448908Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
483eac7256a78d765281da8a5b7b3fdb0bd44acea3c7ae8ac6e5ec95e470fff0
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/JA7KY4SWU6GXMUUB3KFFW6Z73M \
| 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: 483eac7256a78d765281da8a5b7b3fdb0bd44acea3c7ae8ac6e5ec95e470fff0
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "d88ad5c683b6c0f4d985b2c7823d6ca6f286009c427c71909a8acfcc96107aa0",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2019-06-17T07:27:54Z",
"title_canon_sha256": "52a3373de0f1cec6dc13d336e70744c1fa34171dc19bb5b3d76faac05107f975"
},
"schema_version": "1.0",
"source": {
"id": "1906.06876",
"kind": "arxiv",
"version": 1
}
}