Pith Number

pith:X2GHLMPF

pith:2024:X2GHLMPFAWX6KX4CIMJMSYZUUT

not attested not anchored not stored refs pending

ENOT: Expectile Regularization for Fast and Accurate Training of Neural Optimal Transport

Dmitry V. Dylov, Maksim Bobrin, Nazar Buzun

arxiv:2403.03777 v4 · 2024-03-06 · cs.LG · cs.AI

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

Add to your LaTeX paper

\usepackage{pith}
\pithnumber{X2GHLMPFAWX6KX4CIMJMSYZUUT}

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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

A Biconvex Formulation for Stable Transport of Mixture Models with a Unique Solution

Receipt and verification

First computed	2026-07-05T09:22:16.406198Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

be8c75b1e505afe55f824312c96334a4dc342c79238aa1c066d202ffe57febb6

Aliases

arxiv: 2403.03777 · arxiv_version: 2403.03777v4 · doi: 10.48550/arxiv.2403.03777 · pith_short_12: X2GHLMPFAWX6 · pith_short_16: X2GHLMPFAWX6KX4C · pith_short_8: X2GHLMPF

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/X2GHLMPFAWX6KX4CIMJMSYZUUT \
  | 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: be8c75b1e505afe55f824312c96334a4dc342c79238aa1c066d202ffe57febb6

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "4a0ebfa9378497f0c97e718f1552792865a08b17b735245ccf32d38d4d7a2f1a",
    "cross_cats_sorted": [
      "cs.AI"
    ],
    "license": "http://creativecommons.org/licenses/by-sa/4.0/",
    "primary_cat": "cs.LG",
    "submitted_at": "2024-03-06T15:15:42Z",
    "title_canon_sha256": "c211498c13f688a20876c7e3354795dd48f54b9c5ecd0c95334ee8abe99f182b"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2403.03777",
    "kind": "arxiv",
    "version": 4
  }
}