Pith Number
pith:GOZWNG6Z
pith:2015:GOZWNG6Z6WLL43NOKFKIQ33RYJ
not attested
not anchored
not stored
refs pending
Applying deep learning to classify pornographic images and videos
arxiv:1511.08899 v1 · 2015-11-28 · cs.CV · cs.MM · cs.NE
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{GOZWNG6Z6WLL43NOKFKIQ33RYJ}
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 | 2026-05-18T01:25:46.151309Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
33b3669bd9f596be6dae5154886f71c24a55472cf81ace4c419017bba54e2e32
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/GOZWNG6Z6WLL43NOKFKIQ33RYJ \
| 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: 33b3669bd9f596be6dae5154886f71c24a55472cf81ace4c419017bba54e2e32
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "858c6fe2466cf216f4056c267febd5f7f197b72db6603b3aa45b8d6afe3e4e6e",
"cross_cats_sorted": [
"cs.MM",
"cs.NE"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2015-11-28T13:55:25Z",
"title_canon_sha256": "f1eed1f50a164c38f8443ef57b40d410fd5262fbb5aba821b5babeddd1a3a703"
},
"schema_version": "1.0",
"source": {
"id": "1511.08899",
"kind": "arxiv",
"version": 1
}
}