Pith Number

pith:CWHJHXPJ

pith:2023:CWHJHXPJ2LJ5YKEEKZFZTQAJYJ

not attested not anchored not stored refs pending

Adam-family Methods with Decoupled Weight Decay in Deep Learning

Kim-Chuan Toh, Kuangyu Ding, Nachuan Xiao

arxiv:2310.08858 v1 · 2023-10-13 · math.OC · cs.AI · cs.LG · stat.ML

Open paper page JSON Open Graph Bundle Merged state Verified badge What is a Pith Number?

Add to your LaTeX paper

\usepackage{pith}
\pithnumber{CWHJHXPJ2LJ5YKEEKZFZTQAJYJ}

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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.

Cited by

1 paper in Pith

Optimization Hyper-parameter Laws for Large Language Models

Receipt and verification

First computed	2026-07-05T07:00:35.944256Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

158e93dde9d2d3dc2884564b99c009c26bf3ed0fbb562d16c05894124abce448

Aliases

arxiv: 2310.08858 · arxiv_version: 2310.08858v1 · doi: 10.48550/arxiv.2310.08858 · pith_short_12: CWHJHXPJ2LJ5 · pith_short_16: CWHJHXPJ2LJ5YKEE · pith_short_8: CWHJHXPJ

Agent API

Resolver JSON Graph JSON Events JSON Schema Signing key

Verify this Pith Number yourself

curl -sH 'Accept: application/ld+json' https://pith.science/pith/CWHJHXPJ2LJ5YKEEKZFZTQAJYJ \
  | 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: 158e93dde9d2d3dc2884564b99c009c26bf3ed0fbb562d16c05894124abce448

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "c1ca7d03579c4705f1eb62858d2f5ad8847b60b3efc4c877948e54cc7be7f974",
    "cross_cats_sorted": [
      "cs.AI",
      "cs.LG",
      "stat.ML"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "math.OC",
    "submitted_at": "2023-10-13T04:59:44Z",
    "title_canon_sha256": "67ee424fa440a0c1b52cb196dba792fba110ece2d673c6b2fae32ef4b5298803"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2310.08858",
    "kind": "arxiv",
    "version": 1
  }
}