Pith Number
pith:XONS4IO3
pith:2017:XONS4IO3H3B2NANCENUIPYRMKC
not attested
not anchored
not stored
refs pending
Binary Patterns Encoded Convolutional Neural Networks for Texture Recognition and Remote Sensing Scene Classification
arxiv:1706.01171 v2 · 2017-06-05 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{XONS4IO3H3B2NANCENUIPYRMKC}
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 | 2026-05-18T00:20:17.144538Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
bb9b2e21db3ec3a681a2236887e22c508a95c91ced8baad2e449bab43b221621
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/XONS4IO3H3B2NANCENUIPYRMKC \
| 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: bb9b2e21db3ec3a681a2236887e22c508a95c91ced8baad2e449bab43b221621
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "43df4fc9c1ec2a5896f0751dbc6d1baa16eed6507e2b62cc3ead78b3e4c8ad03",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2017-06-05T00:53:06Z",
"title_canon_sha256": "f997f1ab61c20143dbe66b354478ea4f2ccc8264ff6894edb26c09f591710938"
},
"schema_version": "1.0",
"source": {
"id": "1706.01171",
"kind": "arxiv",
"version": 2
}
}