Pith Number
pith:O5RCNOMQ
pith:2019:O5RCNOMQNAFE6RHKMDPYWSBUDJ
not attested
not anchored
not stored
refs pending
Regularizing linear inverse problems with convolutional neural networks
arxiv:1907.03100 v1 · 2019-07-06 · cs.LG · cs.CV · cs.IT · math.IT · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{O5RCNOMQNAFE6RHKMDPYWSBUDJ}
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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 | 2026-05-17T23:41:18.932117Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
776226b990680a4f44ea60df8b48341a6f34a03cec2f9a8a0d50c7135e112d50
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/O5RCNOMQNAFE6RHKMDPYWSBUDJ \
| 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: 776226b990680a4f44ea60df8b48341a6f34a03cec2f9a8a0d50c7135e112d50
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "6f45359820874d6bab4b9204277d1d9c4b09ae8cdb278ecee9015c208b68dd10",
"cross_cats_sorted": [
"cs.CV",
"cs.IT",
"math.IT",
"stat.ML"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2019-07-06T09:30:51Z",
"title_canon_sha256": "b1779f466f16f4abb8eb62f733cc5fdbafd531bc7a5179d2b9d5d639550b6b2b"
},
"schema_version": "1.0",
"source": {
"id": "1907.03100",
"kind": "arxiv",
"version": 1
}
}