Pith Number
pith:WFRQTKT3
pith:2017:WFRQTKT36G2XRNIDCEYILQ6Z3N
not attested
not anchored
not stored
refs pending
Aligned and Non-Aligned Double JPEG Detection Using Convolutional Neural Networks
arxiv:1708.00930 v1 · 2017-08-02 · cs.CR · cs.MM
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{WFRQTKT36G2XRNIDCEYILQ6Z3N}
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.
Receipt and verification
| First computed | 2026-05-18T00:33:16.051276Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
b16309aa7bf1b578b503113085c3d9db74eb974d921f2d3a9788539485fe6a95
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/WFRQTKT36G2XRNIDCEYILQ6Z3N \
| 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: b16309aa7bf1b578b503113085c3d9db74eb974d921f2d3a9788539485fe6a95
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "4208f1c7a037a0c7649a3ab968d7a8c22fb159b4a7c371bfb7241ba12dd2988f",
"cross_cats_sorted": [
"cs.MM"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CR",
"submitted_at": "2017-08-02T21:11:27Z",
"title_canon_sha256": "7051162c3aff196d915f02e1c488c72471e126fc3ac3c3903ce3cb08b003505d"
},
"schema_version": "1.0",
"source": {
"id": "1708.00930",
"kind": "arxiv",
"version": 1
}
}