Pith Number

pith:5SI2QUGC

pith:2022:5SI2QUGC4S2AJUVN5Z34TPFPHO

not attested not anchored not stored refs pending

Excess Risk of Two-Layer ReLU Neural Networks in Teacher-Student Settings and its Superiority to Kernel Methods

Shunta Akiyama, Taiji Suzuki

arxiv:2205.14818 v2 · 2022-05-30 · stat.ML · cs.LG

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Add to your LaTeX paper

\usepackage{pith}
\pithnumber{5SI2QUGC4S2AJUVN5Z34TPFPHO}

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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

Feature learning is decoupled from generalization in high capacity neural networks

Receipt and verification

First computed	2026-07-05T04:29:14.102064Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

ec91a850c2e4b404d2adee77c9bcaf3ba7fd87e80f879581ad064a264fde9887

Aliases

arxiv: 2205.14818 · arxiv_version: 2205.14818v2 · doi: 10.48550/arxiv.2205.14818 · pith_short_12: 5SI2QUGC4S2A · pith_short_16: 5SI2QUGC4S2AJUVN · pith_short_8: 5SI2QUGC

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/5SI2QUGC4S2AJUVN5Z34TPFPHO \
  | 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: ec91a850c2e4b404d2adee77c9bcaf3ba7fd87e80f879581ad064a264fde9887

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "6cb8a1130c88e0d4effd4f4d208c6c95048ad713d83e9f22dad82c2b0ee8730a",
    "cross_cats_sorted": [
      "cs.LG"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "stat.ML",
    "submitted_at": "2022-05-30T02:51:36Z",
    "title_canon_sha256": "aa4469007aade90c9d27f9217d9f8a94c77b2000b12d7d4202f99273a28df869"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2205.14818",
    "kind": "arxiv",
    "version": 2
  }
}