Pith Number

pith:VFO7ZZDR

pith:2020:VFO7ZZDR4BKBXIYICIUZMILLJK

not attested not anchored not stored refs pending

Deep learning versus kernel learning: an empirical study of loss landscape geometry and the time evolution of the Neural Tangent Kernel

Daniel M. Roy, Gintare Karolina Dziugaite, Mansheej Paul, Sepideh Kharaghani, Stanislav Fort, Surya Ganguli

arxiv:2010.15110 v1 · 2020-10-28 · cs.LG · stat.ML

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\usepackage{pith}
\pithnumber{VFO7ZZDR4BKBXIYICIUZMILLJK}

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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

Some Inverse Problems in Particle Physics

Receipt and verification

First computed	2026-07-05T01:47:27.697117Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

a95dfce471e0541ba308122996216b4aa28348079ff0fdf7784b3119cc94a61b

Aliases

arxiv: 2010.15110 · arxiv_version: 2010.15110v1 · doi: 10.48550/arxiv.2010.15110 · pith_short_12: VFO7ZZDR4BKB · pith_short_16: VFO7ZZDR4BKBXIYI · pith_short_8: VFO7ZZDR

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/VFO7ZZDR4BKBXIYICIUZMILLJK \
  | 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: a95dfce471e0541ba308122996216b4aa28348079ff0fdf7784b3119cc94a61b

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "e747e82b814664120bfdea41c7933419716041d5bfaa13d73a85c9dbe41b5dcc",
    "cross_cats_sorted": [
      "stat.ML"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.LG",
    "submitted_at": "2020-10-28T17:53:01Z",
    "title_canon_sha256": "8e00f9dc1fd40cd1754018bd3d44bb1791a76900aa3dffb7580c7c80b9a041f4"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2010.15110",
    "kind": "arxiv",
    "version": 1
  }
}