Pith Number

pith:HGQJSJQV

pith:2025:HGQJSJQVLKTMFJ4YUN6BDUZSCP

not attested not anchored not stored refs pending

DoMINO: A Decomposable Multi-scale Iterative Neural Operator for Modeling Large Scale Engineering Simulations

Alexey Kamenev, Kaustubh Tangsali, Mohammad Amin Nabian, Oliver Hennigh, Ram Cherukuri, Rishikesh Ranade, Sanjay Choudhry

arxiv:2501.13350 v1 · 2025-01-23 · cs.LG · physics.comp-ph

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\usepackage{pith}
\pithnumber{HGQJSJQVLKTMFJ4YUN6BDUZSCP}

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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

6 papers in Pith

High-Fidelity Industrial Crash Dynamics Prediction via Geometry-Aware Operator Learning with Memory-Efficient Low-Rank Attention

Adapting Automotive Aerodynamics Surrogates to New Vehicle Families via Transfer Learning

Flow-Direct: Feedback-Efficient and Reusable Guidance for Flow Models via Non-Parametric Guidance Field

HiLiftAeroML: High-Fidelity Computational Fluid Dynamics Dataset for High-Lift Aircraft Aerodynamics

ShardTensor: Domain Parallelism for Scientific Machine Learning

Receipt and verification

First computed	2026-07-05T10:04:27.161471Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

39a09926155aa6c2a798a37c11d33213c9d0e486fc4553cebbe1b104ddf89828

Aliases

arxiv: 2501.13350 · arxiv_version: 2501.13350v1 · doi: 10.48550/arxiv.2501.13350 · pith_short_12: HGQJSJQVLKTM · pith_short_16: HGQJSJQVLKTMFJ4Y · pith_short_8: HGQJSJQV

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/HGQJSJQVLKTMFJ4YUN6BDUZSCP \
  | 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: 39a09926155aa6c2a798a37c11d33213c9d0e486fc4553cebbe1b104ddf89828

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "99e6230f5561c7d908b84f8f4c295dbaa03ac493916deb34a002ab2e4259b5a9",
    "cross_cats_sorted": [
      "physics.comp-ph"
    ],
    "license": "http://creativecommons.org/licenses/by/4.0/",
    "primary_cat": "cs.LG",
    "submitted_at": "2025-01-23T03:28:10Z",
    "title_canon_sha256": "ae370f294996324597f52e14ade89a04c82d8915f8dd80f6ce8885f0d738c16e"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2501.13350",
    "kind": "arxiv",
    "version": 1
  }
}