Pith Number

pith:DB2MWUYI

pith:2023:DB2MWUYIHKHCJ3SBSXBDSC7OVA

not attested not anchored not stored refs pending

Universal Scaling Laws of Absorbing Phase Transitions in Artificial Deep Neural Networks

Keiichi Tamai, Naotake Natori, Synge Todo, Truong Vinh Truong Duy, Tsuyoshi Okubo

arxiv:2307.02284 v3 · 2023-07-05 · stat.ML · cond-mat.dis-nn · cond-mat.stat-mech · cs.LG

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\usepackage{pith}
\pithnumber{DB2MWUYIHKHCJ3SBSXBDSC7OVA}

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Record completeness

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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

Scaling Collapse Reveals Universal Dynamics in Compute-Optimally Trained Neural Networks

Receipt and verification

First computed	2026-07-05T11:39:01.097254Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

1874cb53083a8e24ee4195c2390beea82962f7dfda040d01ddae1e3eef5f8da8

Aliases

arxiv: 2307.02284 · arxiv_version: 2307.02284v3 · doi: 10.48550/arxiv.2307.02284 · pith_short_12: DB2MWUYIHKHC · pith_short_16: DB2MWUYIHKHCJ3SB · pith_short_8: DB2MWUYI

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/DB2MWUYIHKHCJ3SBSXBDSC7OVA \
  | 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: 1874cb53083a8e24ee4195c2390beea82962f7dfda040d01ddae1e3eef5f8da8

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "d37a8b721308b8d4b21887a1be912c7c3e0da120b18326f7cca544333a76d1b7",
    "cross_cats_sorted": [
      "cond-mat.dis-nn",
      "cond-mat.stat-mech",
      "cs.LG"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "stat.ML",
    "submitted_at": "2023-07-05T13:39:02Z",
    "title_canon_sha256": "e9520b67dd2270266c62271203648f1eb0d2e9e7ec388df402edff1f3de819fc"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2307.02284",
    "kind": "arxiv",
    "version": 3
  }
}