Pith Number

pith:AIEMA25G

pith:2023:AIEMA25GHCRQ3G4HOFYBE7POY6

not attested not anchored not stored refs pending

Optimal Transport-inspired Deep Learning Framework for Slow-Decaying Kolmogorov n-width Problems: Exploiting Sinkhorn Loss and Wasserstein Kernel

Federico Pichi, Gianluigi Rozza, Moaad Khamlich

arxiv:2308.13840 v2 · 2023-08-26 · math.NA · cs.LG · cs.NA

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\usepackage{pith}
\pithnumber{AIEMA25GHCRQ3G4HOFYBE7POY6}

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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

Generative Models for Parameter Space Reduction applied to Reduced Order Modelling

Receipt and verification

First computed	2026-07-05T09:59:12.499071Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

0208c06ba638a30d9b877170127deec7a195649b4da8a04aa117bd4cbf756983

Aliases

arxiv: 2308.13840 · arxiv_version: 2308.13840v2 · doi: 10.48550/arxiv.2308.13840 · pith_short_12: AIEMA25GHCRQ · pith_short_16: AIEMA25GHCRQ3G4H · pith_short_8: AIEMA25G

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/AIEMA25GHCRQ3G4HOFYBE7POY6 \
  | 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: 0208c06ba638a30d9b877170127deec7a195649b4da8a04aa117bd4cbf756983

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "fb6b65e2d8fe27bc16cc952a4eb1e2dadbc31bfd120db541c5f87caf6f8d2f4d",
    "cross_cats_sorted": [
      "cs.LG",
      "cs.NA"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "math.NA",
    "submitted_at": "2023-08-26T10:24:43Z",
    "title_canon_sha256": "375526f9e5082b7c8d2ff8ac5a6d262978b83bc4799a94a6e1dee049c21db8c2"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2308.13840",
    "kind": "arxiv",
    "version": 2
  }
}