Pith Number

pith:WWNSOOY7

pith:2023:WWNSOOY7HKTMGXUQW3KVSSV2JL

not attested not anchored not stored refs pending

Efficient Neural Network Approaches for Conditional Optimal Transport with Applications in Bayesian Inference

Deepanshu Verma, Lars Ruthotto, Ricardo Baptista, Youssef Marzouk, Zheyu Oliver Wang

arxiv:2310.16975 v3 · 2023-10-25 · stat.ML · cs.LG

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\usepackage{pith}
\pithnumber{WWNSOOY7HKTMGXUQW3KVSSV2JL}

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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

Tightening Causal Bounds via Covariate-Aware Optimal Transport

Receipt and verification

First computed	2026-07-05T10:53:08.598251Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

b59b273b1f3aa6c35e90b6d5594aba4ae6190147c3529698de7e127b47464bd5

Aliases

arxiv: 2310.16975 · arxiv_version: 2310.16975v3 · doi: 10.48550/arxiv.2310.16975 · pith_short_12: WWNSOOY7HKTM · pith_short_16: WWNSOOY7HKTMGXUQ · pith_short_8: WWNSOOY7

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/WWNSOOY7HKTMGXUQW3KVSSV2JL \
  | 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: b59b273b1f3aa6c35e90b6d5594aba4ae6190147c3529698de7e127b47464bd5

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "dd325d82a0b6b69e165fbf26bd3c556f893fc334ee661a7f8b649e8402bb079b",
    "cross_cats_sorted": [
      "cs.LG"
    ],
    "license": "http://creativecommons.org/licenses/by/4.0/",
    "primary_cat": "stat.ML",
    "submitted_at": "2023-10-25T20:20:09Z",
    "title_canon_sha256": "8db5134c10ca5ad581e632a292c9c4bd1c717fc0f3498b9762bcf0f367c5376c"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2310.16975",
    "kind": "arxiv",
    "version": 3
  }
}