Pith Number

pith:7ZB2QCKM

pith:2021:7ZB2QCKM5IOVOH35PQ66UOZXZN

not attested not anchored not stored refs pending

A self consistent theory of Gaussian Processes captures feature learning effects in finite CNNs

Gadi Naveh, Zohar Ringel

arxiv:2106.04110 v1 · 2021-06-08 · cs.LG · cond-mat.stat-mech · stat.ML

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

Add to your LaTeX paper

\usepackage{pith}
\pithnumber{7ZB2QCKM5IOVOH35PQ66UOZXZN}

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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

Width-Robust Learnability in Mean-Field Bayesian Neural Networks

Receipt and verification

First computed	2026-07-05T02:47:12.137587Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

fe43a8094cea1d571f7d7c3dea3b37cb526a734e01412ca6d710333ee713271e

Aliases

arxiv: 2106.04110 · arxiv_version: 2106.04110v1 · doi: 10.48550/arxiv.2106.04110 · pith_short_12: 7ZB2QCKM5IOV · pith_short_16: 7ZB2QCKM5IOVOH35 · pith_short_8: 7ZB2QCKM

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/7ZB2QCKM5IOVOH35PQ66UOZXZN \
  | 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: fe43a8094cea1d571f7d7c3dea3b37cb526a734e01412ca6d710333ee713271e

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "b8df31147dc4eee49c98fd1f80e6580846fa5942f400d043af0b8f27aac75e64",
    "cross_cats_sorted": [
      "cond-mat.stat-mech",
      "stat.ML"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.LG",
    "submitted_at": "2021-06-08T05:20:00Z",
    "title_canon_sha256": "e310fe6c4d0b0ea34bdcd1b8d0504dd1379cd24333dc1fe6880aa070224b6538"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2106.04110",
    "kind": "arxiv",
    "version": 1
  }
}