Pith Number

pith:SWUGSK5O

pith:2018:SWUGSK5OYPDVU3AHKL6FTMQVMI

not attested not anchored not stored refs pending

On the Power of Over-parametrization in Neural Networks with Quadratic Activation

Jason D. Lee, Simon S. Du

arxiv:1803.01206 v2 · 2018-03-03 · cs.LG · cs.AI · math.OC · stat.ML

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Add to your LaTeX paper

\usepackage{pith}
\pithnumber{SWUGSK5OYPDVU3AHKL6FTMQVMI}

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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

1 paper in Pith

Limitations of Lazy Training of Two-layers Neural Networks

Receipt and verification

First computed	2026-05-18T00:13:10.337101Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

95a8692baec3c75a6c0752fc59b2156235a19dde1d9c603394455e7728c063fd

Aliases

arxiv: 1803.01206 · arxiv_version: 1803.01206v2 · doi: 10.48550/arxiv.1803.01206 · pith_short_12: SWUGSK5OYPDV · pith_short_16: SWUGSK5OYPDVU3AH · pith_short_8: SWUGSK5O

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/SWUGSK5OYPDVU3AHKL6FTMQVMI \
  | 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: 95a8692baec3c75a6c0752fc59b2156235a19dde1d9c603394455e7728c063fd

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "3dec5f6ffab43601fc47e1b6cfd6db74bfb366cc8ae9f16d6e6367ec93fb85c7",
    "cross_cats_sorted": [
      "cs.AI",
      "math.OC",
      "stat.ML"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.LG",
    "submitted_at": "2018-03-03T17:37:57Z",
    "title_canon_sha256": "80480eb810dbd1adb37ffc0c825f08d84b8449b450e2fa92f98fe851f5dffa9b"
  },
  "schema_version": "1.0",
  "source": {
    "id": "1803.01206",
    "kind": "arxiv",
    "version": 2
  }
}