Pith Number

pith:MJ2WA57D

pith:2018:MJ2WA57DQNU52CGKLQGUREQPWC

not attested not anchored not stored refs pending

Stochastic Gradient Descent Optimizes Over-parameterized Deep ReLU Networks

Difan Zou, Dongruo Zhou, Quanquan Gu, Yuan Cao

arxiv:1811.08888 v3 · 2018-11-21 · cs.LG · cs.AI · math.OC · stat.ML

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\usepackage{pith}
\pithnumber{MJ2WA57DQNU52CGKLQGUREQPWC}

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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

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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

7 papers in Pith

Limitations of Lazy Training of Two-layers Neural Networks

On Symmetry and Initialization for Neural Networks

Two-block vs. Multi-block ADMM: An empirical evaluation of convergence

Hessian based analysis of SGD for Deep Nets: Dynamics and Generalization

Convergence rates for gradient descent in the training of overparameterized artificial neural networks with piecewise affine activation

Receipt and verification

First computed	2026-05-17T23:57:21.181083Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

62756077e38369dd08ca5c0d48920fb08e08ea73a30ffc793368bcb2808112f5

Aliases

arxiv: 1811.08888 · arxiv_version: 1811.08888v3 · doi: 10.48550/arxiv.1811.08888 · pith_short_12: MJ2WA57DQNU5 · pith_short_16: MJ2WA57DQNU52CGK · pith_short_8: MJ2WA57D

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/MJ2WA57DQNU52CGKLQGUREQPWC \
  | 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: 62756077e38369dd08ca5c0d48920fb08e08ea73a30ffc793368bcb2808112f5

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "9b3ac1e631028645c4f2f77f7b1033aa2429571b6f257d3d903a7b2e6a28e50f",
    "cross_cats_sorted": [
      "cs.AI",
      "math.OC",
      "stat.ML"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.LG",
    "submitted_at": "2018-11-21T18:58:46Z",
    "title_canon_sha256": "ba3d66e38335314c46352c85f975f0a56f2edf99fa82881beb3d59975108a5c7"
  },
  "schema_version": "1.0",
  "source": {
    "id": "1811.08888",
    "kind": "arxiv",
    "version": 3
  }
}