Pith Number
pith:OIKT3HPB
pith:2016:OIKT3HPBJECIO7JCRSO3PGQ3YH
not attested
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refs pending
On Image segmentation using Fractional Gradients-Learning Model Parameters using Approximate Marginal Inference
arxiv:1605.02240 v1 · 2016-05-07 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{OIKT3HPBJECIO7JCRSO3PGQ3YH}
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Record completeness
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Bitcoin timestamp
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4
Citations
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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 | 2026-05-18T01:15:21.596401Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
72153d9de14904877d228c9db79a1bc1ecddfff9bf89ef8bf7a16a2ef5322443
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/OIKT3HPBJECIO7JCRSO3PGQ3YH \
| 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: 72153d9de14904877d228c9db79a1bc1ecddfff9bf89ef8bf7a16a2ef5322443
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "824fc4ad03fbdbcebda064908506c070f9ff8afec3e7fb5e279a2f7c9f2c250a",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2016-05-07T20:12:12Z",
"title_canon_sha256": "c6ff0d93627202ab209f76f342bf7cf78e3d48b7246dcabf4925c8d4ed64f01e"
},
"schema_version": "1.0",
"source": {
"id": "1605.02240",
"kind": "arxiv",
"version": 1
}
}