Pith Number

pith:RPJM5ZKQ

pith:2025:RPJM5ZKQP7JOZ7RDLS4EZ7FL5S

not attested not anchored not stored refs pending

Neural Estimation for Scaling Entropic Multimarginal Optimal Transport

Dor Tsur, Haim Permuter, Kristjan Greenewald, Ziv Goldfeld

arxiv:2506.00573 v1 · 2025-05-31 · cs.LG · 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{RPJM5ZKQP7JOZ7RDLS4EZ7FL5S}

Prints a linked badge after your title and injects PDF metadata. Compiles on arXiv. Learn more · Embed verified badge

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

PLOT: Progressive Localization via Optimal Transport in Neural Causal Abstraction

Receipt and verification

First computed	2026-07-05T11:13:37.133301Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

8bd2cee5507fd2ecfe235cb84cfcabec8e415a0e132833383cfe56129c35caee

Aliases

arxiv: 2506.00573 · arxiv_version: 2506.00573v1 · doi: 10.48550/arxiv.2506.00573 · pith_short_12: RPJM5ZKQP7JO · pith_short_16: RPJM5ZKQP7JOZ7RD · pith_short_8: RPJM5ZKQ

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/RPJM5ZKQP7JOZ7RDLS4EZ7FL5S \
  | 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: 8bd2cee5507fd2ecfe235cb84cfcabec8e415a0e132833383cfe56129c35caee

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "9e0dc630c48c66d7ce13ed333527fc7b0e89aadc4914c5e4de2a26599f571518",
    "cross_cats_sorted": [
      "stat.ML"
    ],
    "license": "http://creativecommons.org/licenses/by/4.0/",
    "primary_cat": "cs.LG",
    "submitted_at": "2025-05-31T14:10:27Z",
    "title_canon_sha256": "f1121738973f7e6e5c821a947626bc7982210248b89fe2a9690262d9a0efc478"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2506.00573",
    "kind": "arxiv",
    "version": 1
  }
}