Pith Number

pith:OIOEDOH2

pith:2019:OIOEDOH2IV7ICXMJSBIXIHZ4HS

not attested not anchored not stored refs pending

Modelling the influence of data structure on learning in neural networks: the hidden manifold model

Florent Krzakala, Lenka Zdeborov\'a, Marc M\'ezard, Sebastian Goldt

arxiv:1909.11500 v4 · 2019-09-25 · stat.ML · cond-mat.dis-nn · cond-mat.stat-mech · cs.LG

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Add to your LaTeX paper

\usepackage{pith}
\pithnumber{OIOEDOH2IV7ICXMJSBIXIHZ4HS}

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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

2 papers in Pith

Spectral phase transitions and trainability in neural network learning dynamics

DNNs, Dataset Statistics, and Correlation Functions

Receipt and verification

First computed	2026-07-05T01:56:40.264911Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

721c41b8fa457e815d899051741f3c3c90c2469c6e54b2061c5a8b59b77c780b

Aliases

arxiv: 1909.11500 · arxiv_version: 1909.11500v4 · doi: 10.48550/arxiv.1909.11500 · pith_short_12: OIOEDOH2IV7I · pith_short_16: OIOEDOH2IV7ICXMJ · pith_short_8: OIOEDOH2

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/OIOEDOH2IV7ICXMJSBIXIHZ4HS \
  | 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: 721c41b8fa457e815d899051741f3c3c90c2469c6e54b2061c5a8b59b77c780b

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "6169e3a8e316cebb214ee9bdef8cdcc7fa3f57a07222fdbffd471ef2a5ea5053",
    "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": "2019-09-25T13:56:56Z",
    "title_canon_sha256": "8d1641728fb762dce38dce808628ef613151342ee716f0022889b4a72f69b42b"
  },
  "schema_version": "1.0",
  "source": {
    "id": "1909.11500",
    "kind": "arxiv",
    "version": 4
  }
}