Pith Number
pith:BKX3CSZI
pith:2017:BKX3CSZIKAM3TLTKUTLALZN27S
not attested
not anchored
not stored
refs pending
Model-based learning of local image features for unsupervised texture segmentation
arxiv:1708.00180 v1 · 2017-08-01 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{BKX3CSZIKAM3TLTKUTLALZN27S}
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 | 2026-05-18T00:23:34.531142Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
0aafb14b285019b9ae6aa4d605e5bafca13c7738dc553405613da2b6128619ba
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/BKX3CSZIKAM3TLTKUTLALZN27S \
| 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: 0aafb14b285019b9ae6aa4d605e5bafca13c7738dc553405613da2b6128619ba
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "7e3888678b7f9aaf751c28dc484f1943de689dc9aa2a079e3886c4ab14a63dd2",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2017-08-01T06:35:46Z",
"title_canon_sha256": "683cba59d1c2ab3a6abb7d7bda593965076b5e46151d486a5c5d35f1dd765fb8"
},
"schema_version": "1.0",
"source": {
"id": "1708.00180",
"kind": "arxiv",
"version": 1
}
}