Pith Number
pith:PP5Q7L3L
pith:2017:PP5Q7L3LO4V5TK7HATJQV63BJI
not attested
not anchored
not stored
refs pending
Phase Transitions in Image Denoising via Sparsely Coding Convolutional Neural Networks
arxiv:1710.09875 v1 · 2017-10-26 · cs.NE · cond-mat.stat-mech · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{PP5Q7L3LO4V5TK7HATJQV63BJI}
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Record completeness
1
Bitcoin timestamp
2
Internet Archive
3
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4
Citations
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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 | 2026-05-18T00:31:55.296099Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
7bfb0faf6b772bd9abe704d30afb614a2a4cad56dbc65c0e97b2b78c2adeaf10
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/PP5Q7L3LO4V5TK7HATJQV63BJI \
| 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: 7bfb0faf6b772bd9abe704d30afb614a2a4cad56dbc65c0e97b2b78c2adeaf10
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "16992c6f94dc0843d0dbfb277e0fe0fae30a3627f41f370dc29535750c6c0423",
"cross_cats_sorted": [
"cond-mat.stat-mech",
"cs.CV"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.NE",
"submitted_at": "2017-10-26T19:09:54Z",
"title_canon_sha256": "c7d8678c3c8a61b927d13fd18d49b89d1f110bf78a23995476d5292cb0678ca1"
},
"schema_version": "1.0",
"source": {
"id": "1710.09875",
"kind": "arxiv",
"version": 1
}
}