Pith Number

pith:2U4G7DFP

pith:2023:2U4G7DFPPR5AP457R3ERYDEL4D

not attested not anchored not stored refs pending

Distribution learning via neural differential equations: a nonparametric statistical perspective

Jakob Zech, Sven Wang, Youssef Marzouk, Zhi Ren

arxiv:2309.01043 v1 · 2023-09-03 · math.ST · cs.LG · math.CA · stat.ML · stat.TH

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Add to your LaTeX paper

\usepackage{pith}
\pithnumber{2U4G7DFPPR5AP457R3ERYDEL4D}

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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

Distribution learning via neural differential equations: minimal energy regularization and approximation theory

Receipt and verification

First computed	2026-07-05T06:47:31.327774Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

d5386f8caf7c7a07f3bf8ec91c0c8be0ff6885fefc371dedfb96e776f31c50dd

Aliases

arxiv: 2309.01043 · arxiv_version: 2309.01043v1 · doi: 10.48550/arxiv.2309.01043 · pith_short_12: 2U4G7DFPPR5A · pith_short_16: 2U4G7DFPPR5AP457 · pith_short_8: 2U4G7DFP

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/2U4G7DFPPR5AP457R3ERYDEL4D \
  | 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: d5386f8caf7c7a07f3bf8ec91c0c8be0ff6885fefc371dedfb96e776f31c50dd

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "2ad20bf1e6cc4a02390b179f00699d740a2ba60567f323b89990c358ed6ac724",
    "cross_cats_sorted": [
      "cs.LG",
      "math.CA",
      "stat.ML",
      "stat.TH"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "math.ST",
    "submitted_at": "2023-09-03T00:21:37Z",
    "title_canon_sha256": "a95f2baf8f3c843e99193e396138df028bc12289b5c382b5e1d7b34aedd31dfd"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2309.01043",
    "kind": "arxiv",
    "version": 1
  }
}