Pith Number

pith:AU4PGITF

pith:2024:AU4PGITFTTI3X2B5MNPLF2IRAP

not attested not anchored not stored refs pending

Asymptotics of feature learning in two-layer networks after one gradient-step

Bruno Loureiro, Florent Krzakala, Hugo Cui, Lenka Zdeborov\'a, Luca Pesce, Yatin Dandi, Yue M. Lu

arxiv:2402.04980 v2 · 2024-02-07 · stat.ML · cond-mat.dis-nn · cs.LG

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\usepackage{pith}
\pithnumber{AU4PGITFTTI3X2B5MNPLF2IRAP}

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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

3 papers in Pith

Spectral Dynamics in Deep Networks: Feature Learning, Outlier Escape, and Learning Rate Transfer

There Will Be a Scientific Theory of Deep Learning

Spectral Dynamics in Deep Networks: Feature Learning, Outlier Escape, and Learning Rate Transfer

Receipt and verification

First computed	2026-07-05T09:03:18.351592Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

0538f322659cd1bbe83d635eb2e91103f798cf09b56a87ccd5e8d3741f3d4a7d

Aliases

arxiv: 2402.04980 · arxiv_version: 2402.04980v2 · doi: 10.48550/arxiv.2402.04980 · pith_short_12: AU4PGITFTTI3 · pith_short_16: AU4PGITFTTI3X2B5 · pith_short_8: AU4PGITF

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/AU4PGITFTTI3X2B5MNPLF2IRAP \
  | 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: 0538f322659cd1bbe83d635eb2e91103f798cf09b56a87ccd5e8d3741f3d4a7d

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "b247e4d19b94a55e3c9ee6fc05df0f972f2a39e3eb9a54727a8acf5bb53c681f",
    "cross_cats_sorted": [
      "cond-mat.dis-nn",
      "cs.LG"
    ],
    "license": "http://creativecommons.org/licenses/by/4.0/",
    "primary_cat": "stat.ML",
    "submitted_at": "2024-02-07T15:57:30Z",
    "title_canon_sha256": "f0d952aa24e423795b9082def60e696328c870db7619d4a889c09eef0996a24c"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2402.04980",
    "kind": "arxiv",
    "version": 2
  }
}