Pith Number
pith:3IHB7CI3
pith:2016:3IHB7CI3WTRCHXTY56SQCXWU5X
not attested
not anchored
not stored
refs pending
A Theoretical Analysis of Deep Neural Networks for Texture Classification
arxiv:1605.02699 v2 · 2016-05-09 · cs.CV · cs.LG · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{3IHB7CI3WTRCHXTY56SQCXWU5X}
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
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Author claim
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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 | 2026-05-18T01:12:11.594049Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
da0e1f891bb4e223de78efa5015ed4ede4061fcf9df183e4162134dd2b2a2017
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/3IHB7CI3WTRCHXTY56SQCXWU5X \
| 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: da0e1f891bb4e223de78efa5015ed4ede4061fcf9df183e4162134dd2b2a2017
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "ac27ad11c2905895210625557639dff56b4f7f2bc046e0badab558f3622e91ea",
"cross_cats_sorted": [
"cs.LG",
"stat.ML"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2016-05-09T19:11:22Z",
"title_canon_sha256": "24391501ae90e85f34de6829cac73d39847f1af8ea06741475c66c8c4c64443d"
},
"schema_version": "1.0",
"source": {
"id": "1605.02699",
"kind": "arxiv",
"version": 2
}
}