Pith Number

pith:EJI7RE5Q

pith:2022:EJI7RE5QEFSIGTZCDYICJIG6WE

not attested not anchored not stored refs pending

Neural networks trained with SGD learn distributions of increasing complexity

Alessandro Ingrosso, Maria Refinetti, Sebastian Goldt

arxiv:2211.11567 v2 · 2022-11-21 · stat.ML · cond-mat.dis-nn · cond-mat.stat-mech · cs.LG

Open paper page JSON Open Graph Bundle Merged state Verified badge What is a Pith Number?

Add to your LaTeX paper

\usepackage{pith}
\pithnumber{EJI7RE5QEFSIGTZCDYICJIG6WE}

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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

DNNs, Dataset Statistics, and Correlation Functions

The Benefits of Temporal Correlations: SGD Learns k-Juntas from Random Walks Efficiently

Receipt and verification

First computed	2026-07-05T06:14:06.677938Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

2251f893b02164834f221e1024a0deb11e494c8be026f217a0cbe526bc0d9e19

Aliases

arxiv: 2211.11567 · arxiv_version: 2211.11567v2 · doi: 10.48550/arxiv.2211.11567 · pith_short_12: EJI7RE5QEFSI · pith_short_16: EJI7RE5QEFSIGTZC · pith_short_8: EJI7RE5Q

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/EJI7RE5QEFSIGTZCDYICJIG6WE \
  | 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: 2251f893b02164834f221e1024a0deb11e494c8be026f217a0cbe526bc0d9e19

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "713347d1e7ab7389ea178a6a2b850a600e4e5fccb997a8371338f97848e39c08",
    "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": "2022-11-21T15:27:22Z",
    "title_canon_sha256": "1820dd25e3dad19566f2fda7de5e5bf131ca961469e4b0ae53b00a3c30718bd6"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2211.11567",
    "kind": "arxiv",
    "version": 2
  }
}