Pith Number
pith:64AVNRHA
pith:2019:64AVNRHAJGJZZF2EYCJF4QZDF7
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Training Artificial Neural Networks by Generalized Likelihood Ratio Method: Exploring Brain-like Learning to Improve Robustness
arxiv:1902.00358 v2 · 2019-01-31 · cs.LG · cs.AI · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{64AVNRHAJGJZZF2EYCJF4QZDF7}
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Record completeness
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Bitcoin timestamp
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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 | 2026-05-17T23:40:55.498208Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
f70156c4e049939c9744c0925e43232fddbb7249b5aca1ad225b0fb864a3a385
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/64AVNRHAJGJZZF2EYCJF4QZDF7 \
| 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: f70156c4e049939c9744c0925e43232fddbb7249b5aca1ad225b0fb864a3a385
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "3c1fc4d172ed311aa38310d8b02a309d5016c3092adcc2bc6f262b4759515b71",
"cross_cats_sorted": [
"cs.AI",
"stat.ML"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2019-01-31T09:14:16Z",
"title_canon_sha256": "4cd3cc9a6e3af1f80f09ddbe463b033197e07fab7e7a1eb1a37eb6144ecd81a3"
},
"schema_version": "1.0",
"source": {
"id": "1902.00358",
"kind": "arxiv",
"version": 2
}
}