Pith Number

pith:OG6JG3DQ

pith:2019:OG6JG3DQY3IBQJH6ILE7BLKFVZ

not attested not anchored not stored refs pending

Explicitizing an Implicit Bias of the Frequency Principle in Two-layer Neural Networks

Tao Luo, Yaoyu Zhang, Zheng Ma, Zhi-Qin John Xu

arxiv:1905.10264 v1 · 2019-05-24 · cs.LG · stat.ML

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\usepackage{pith}
\pithnumber{OG6JG3DQY3IBQJH6ILE7BLKFVZ}

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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

2 papers in Pith

Theory of the Frequency Principle for General Deep Neural Networks

Frequency-adaptive tensor neural networks for high-dimensional multi-scale problems

Receipt and verification

First computed	2026-05-17T23:45:10.775235Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

71bc936c70c6d01824fe42c9f0ad45ae7fd6eea1dadd3f6508aaccc6b9c7020a

Aliases

arxiv: 1905.10264 · arxiv_version: 1905.10264v1 · doi: 10.48550/arxiv.1905.10264 · pith_short_12: OG6JG3DQY3IB · pith_short_16: OG6JG3DQY3IBQJH6 · pith_short_8: OG6JG3DQ

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/OG6JG3DQY3IBQJH6ILE7BLKFVZ \
  | 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: 71bc936c70c6d01824fe42c9f0ad45ae7fd6eea1dadd3f6508aaccc6b9c7020a

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "baf49aefcc091f059f505a9bd499d1c03fae7a9281b315b8dd6ca668a0b81781",
    "cross_cats_sorted": [
      "stat.ML"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.LG",
    "submitted_at": "2019-05-24T14:45:37Z",
    "title_canon_sha256": "6ce8403aac36f7a8603042068785f0deafd436bb133006338e2fb60a44203859"
  },
  "schema_version": "1.0",
  "source": {
    "id": "1905.10264",
    "kind": "arxiv",
    "version": 1
  }
}