Pith Number

pith:YJEHQWKL

pith:2024:YJEHQWKL7FOEZHF5GAWJLW7YEQ

not attested not anchored not stored refs pending

On the Geometry of Regularization in Adversarial Training: High-Dimensional Asymptotics and Generalization Bounds

Bruno Loureiro, Julia Kempe, Matteo Vilucchio, Nikolaos Tsilivis

arxiv:2410.16073 v1 · 2024-10-21 · stat.ML · cond-mat.dis-nn · cs.LG · math.ST · stat.TH

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Add to your LaTeX paper

\usepackage{pith}
\pithnumber{YJEHQWKL7FOEZHF5GAWJLW7YEQ}

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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

Homogenization of $\ell_2$-Adversarial Training in High-Dimensions: Exact Dynamics under Stochastic Gradient Descent

Explaining Machine Learning and Memorization with Statistical Mechanics

Receipt and verification

First computed	2026-07-05T09:23:28.939143Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

c24878594bf95c4c9cbd302c95dbf82404aebdc3c8e50ed3f6fc2e316dd662ac

Aliases

arxiv: 2410.16073 · arxiv_version: 2410.16073v1 · doi: 10.48550/arxiv.2410.16073 · pith_short_12: YJEHQWKL7FOE · pith_short_16: YJEHQWKL7FOEZHF5 · pith_short_8: YJEHQWKL

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/YJEHQWKL7FOEZHF5GAWJLW7YEQ \
  | 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: c24878594bf95c4c9cbd302c95dbf82404aebdc3c8e50ed3f6fc2e316dd662ac

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "f0359cad84b36210dd8d0607214b748125bdf85104eb58c44edbfad9aae8e3c9",
    "cross_cats_sorted": [
      "cond-mat.dis-nn",
      "cs.LG",
      "math.ST",
      "stat.TH"
    ],
    "license": "http://creativecommons.org/licenses/by/4.0/",
    "primary_cat": "stat.ML",
    "submitted_at": "2024-10-21T14:53:12Z",
    "title_canon_sha256": "76900b3b1de4fbfa6f28169f1af8c13cbbac48772b27d27d3b40058e96a7db93"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2410.16073",
    "kind": "arxiv",
    "version": 1
  }
}