Pith Number
pith:L5HM3CEP
pith:2016:L5HM3CEPDKVMKG2ZQHLU3KJNUI
not attested
not anchored
not stored
refs pending
Training Neural Networks Without Gradients: A Scalable ADMM Approach
arxiv:1605.02026 v1 · 2016-05-06 · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{L5HM3CEPDKVMKG2ZQHLU3KJNUI}
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 | 2026-05-18T01:15:30.589828Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
5f4ecd888f1aaac51b5981d74da92da23bdaf8c19fb96561c6bbb86c09b458fa
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/L5HM3CEPDKVMKG2ZQHLU3KJNUI \
| 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: 5f4ecd888f1aaac51b5981d74da92da23bdaf8c19fb96561c6bbb86c09b458fa
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "839755b422d9b3c3f5acb1a2a63ffabd2ee335af4d6441757d53aa8ff0125357",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2016-05-06T18:38:45Z",
"title_canon_sha256": "6026f539cecf6d32b2dbd470cbf676547194a13a21602d05fab3605e9029c4ca"
},
"schema_version": "1.0",
"source": {
"id": "1605.02026",
"kind": "arxiv",
"version": 1
}
}