Pith Number

pith:DAAO2ML4

pith:2024:DAAO2ML4HEWMJGGCNJXT34KOST

not attested not anchored not stored refs pending

Rethinking the Diffusion Models for Numerical Tabular Data Imputation from the Perspective of Wasserstein Gradient Flow

Eric H. Wang, Fangyikang Wang, Haoxuan Li, Hu Xu, Odin Zhang, Xiaoyu Jiang, Zhichao Chen, Zhihuan Song

arxiv:2406.15762 v1 · 2024-06-22 · cs.LG · stat.ML

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\usepackage{pith}
\pithnumber{DAAO2ML4HEWMJGGCNJXT34KOST}

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Record completeness

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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

Unleashing High-Quality Image Generation in Diffusion Sampling Using Second-Order Levenberg-Marquardt-Langevin

Receipt and verification

First computed	2026-07-05T08:35:27.206969Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

1800ed317c392cc498c26a6f3df14e94d7c18f48d067be876968b7a35a162e26

Aliases

arxiv: 2406.15762 · arxiv_version: 2406.15762v1 · doi: 10.48550/arxiv.2406.15762 · pith_short_12: DAAO2ML4HEWM · pith_short_16: DAAO2ML4HEWMJGGC · pith_short_8: DAAO2ML4

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/DAAO2ML4HEWMJGGCNJXT34KOST \
  | 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: 1800ed317c392cc498c26a6f3df14e94d7c18f48d067be876968b7a35a162e26

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "bb92acbd7342ce751044d0f3a2badfde11558ade16c652325cde10332f69dafa",
    "cross_cats_sorted": [
      "stat.ML"
    ],
    "license": "http://creativecommons.org/licenses/by/4.0/",
    "primary_cat": "cs.LG",
    "submitted_at": "2024-06-22T06:59:32Z",
    "title_canon_sha256": "9dd052429a07936fb2bef0ecb831bc9960f12294aa71fd00057c83c0dfe42de4"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2406.15762",
    "kind": "arxiv",
    "version": 1
  }
}