Pith Number
pith:CU2S3HGU
pith:2026:CU2S3HGUR2UNEW7YXLKH4VFJ5C
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refs pending
Beyond Backpropagation: Monte Carlo Method Can Train Deep Neural Networks
arxiv:2607.08406 v1 · 2026-07-09 · cs.LG · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{CU2S3HGUR2UNEW7YXLKH4VFJ5C}
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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 | 2026-07-10T01:19:49.564273Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
15352d9cd48ea8d25bf8bad47e54a9e88688c3bb5097dcafe0e60faa45c3e195
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/CU2S3HGUR2UNEW7YXLKH4VFJ5C \
| 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: 15352d9cd48ea8d25bf8bad47e54a9e88688c3bb5097dcafe0e60faa45c3e195
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "3a4a8490459ac0369da2728c4c595f4bd34838fec1cd1bfe772437c1e10a03d9",
"cross_cats_sorted": [
"stat.ML"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2026-07-09T12:31:04Z",
"title_canon_sha256": "9a086eb89c062bde6f0bfb34fae69b694778ae554b09d277cd1a9e9e93e6c12e"
},
"schema_version": "1.0",
"source": {
"id": "2607.08406",
"kind": "arxiv",
"version": 1
}
}