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Pith Number

pith:64AVNRHA

pith:2019:64AVNRHAJGJZZF2EYCJF4QZDF7
not attested not anchored not stored refs pending

Training Artificial Neural Networks by Generalized Likelihood Ratio Method: Exploring Brain-like Learning to Improve Robustness

Jeff Hong, Li Xiao, Shuhuai Yang, Yijie Peng, Zewu Ke

arxiv:1902.00358 v2 · 2019-01-31 · cs.LG · cs.AI · stat.ML

Add to your LaTeX paper
\usepackage{pith}
\pithnumber{64AVNRHAJGJZZF2EYCJF4QZDF7}

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 open · sign in to claim
4 Citations open
5 Replications open
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

arxiv: 1902.00358 · arxiv_version: 1902.00358v2 · doi: 10.48550/arxiv.1902.00358 · pith_short_12: 64AVNRHAJGJZ · pith_short_16: 64AVNRHAJGJZZF2E · pith_short_8: 64AVNRHA
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
  }
}