Pith Number
pith:6MKL67GT
pith:2017:6MKL67GTXWJZ5YZ46GJBNJNEFP
not attested
not anchored
not stored
refs pending
A multi-branch convolutional neural network for detecting double JPEG compression
arxiv:1710.05477 v1 · 2017-10-16 · cs.CV · cs.MM
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{6MKL67GTXWJZ5YZ46GJBNJNEFP}
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 | 2026-05-18T00:32:49.279102Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
f314bf7cd3bd939ee33cf19216a5a42be47c704517714c5f242d493f7ea3ae20
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/6MKL67GTXWJZ5YZ46GJBNJNEFP \
| 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: f314bf7cd3bd939ee33cf19216a5a42be47c704517714c5f242d493f7ea3ae20
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "a78b77d190212c4856599be6f7fc77d10a09db7fdf77ec4e113c5bfc1a83821f",
"cross_cats_sorted": [
"cs.MM"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2017-10-16T02:54:57Z",
"title_canon_sha256": "647647f5e24e7c11c751cfcf8bc0cf451c641194efbfe09cfd8f35b5574ef5af"
},
"schema_version": "1.0",
"source": {
"id": "1710.05477",
"kind": "arxiv",
"version": 1
}
}