Pith Number

pith:2CWJ4AVW

pith:2023:2CWJ4AVWDE32M4XA6P3ZJ2ASLS

not attested not anchored not stored refs pending

Artificial Intelligence for Science in Quantum, Atomistic, and Continuum Systems

Ada Fang, Adriana Ladera, Al\'an Aspuru-Guzik, Alexandra Saxton, Alex Strasser, Ameya Daigavane, Anima Anandkumar, Aria Mansouri Tehrani, Carl Edwards, Chaitanya K. Joshi, Cong Fu, Connor W. Coley, Elyssa F. Hofgard, Erik Bekkers, Haiyang Yu, Hannah Lawrence, Hannes St\"ark, Heng Ji, Hongyi Ling, Jacob Helwig, Jerry Kurtin, Jimeng Sun, Jure Leskovec, Kamyar Azizzadenesheli, Keir Adams, Keqiang Yan, Limei Wang, Marinka Zitnik, Maurice Weiler, Meng Liu, Michael Bronstein, Minkai Xu, Montgomery Bohde, Nicholas Gao, Pietro Li\`o, Qian Huang, Regina Barzilay, Rose Yu, Rui Wang, Shenglong Xu, Shuiwang Ji, Shurui Gui, Simon V. Mathis, Stefano Ermon, Stephan G\"unnemann, Tailin Wu, Tess Smidt, Tianfan Fu, Tommi Jaakkola, Tuong Phung, Xiang Fu, Xiaofeng Qian, Xiaoning Qian, Xiner Li, Xuan Zhang, Yaochen Xie, Yi Liu, Youzhi Luo, Yuanqi Du, Yuchao Lin, Yucheng Wang, Yuqing Xie, Zhao Xu

arxiv:2307.08423 v6 · 2023-07-17 · cs.LG · physics.comp-ph

Open paper page JSON Open Graph Bundle Merged state Verified badge What is a Pith Number?

Add to your LaTeX paper

\usepackage{pith}
\pithnumber{2CWJ4AVWDE32M4XA6P3ZJ2ASLS}

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

5 papers in Pith

FARM: Enhancing Molecular Representations with Functional Group Awareness

Agentic Physical AI toward a Domain-Specific Foundation Model for Nuclear Reactor Control

A Two-Phase Deep Learning Framework for Adaptive Time-Stepping in High-Speed Flow Modeling

TrustLLM: Trustworthiness in Large Language Models

Enabling Structure-Only Initialization and Out-of-Distribution Generalization in GNN-based Molecular Dynamics Simulators

Receipt and verification

First computed	2026-07-05T11:42:52.185648Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

d0ac9e02b61937a672e0f3f794e8125c8fdbe4e5afca42d3b0dd168e64d6ab58

Aliases

arxiv: 2307.08423 · arxiv_version: 2307.08423v6 · doi: 10.48550/arxiv.2307.08423 · pith_short_12: 2CWJ4AVWDE32 · pith_short_16: 2CWJ4AVWDE32M4XA · pith_short_8: 2CWJ4AVW

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/2CWJ4AVWDE32M4XA6P3ZJ2ASLS \
  | 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: d0ac9e02b61937a672e0f3f794e8125c8fdbe4e5afca42d3b0dd168e64d6ab58

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "0ffe16fe04e3adb48815824376a8c9d36ae11121e6bd90ce23154c10b8ba7ef0",
    "cross_cats_sorted": [
      "physics.comp-ph"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.LG",
    "submitted_at": "2023-07-17T12:14:14Z",
    "title_canon_sha256": "863448f8971e1d9c42c9c9541c9d5bbb8423f836a3863df389ccee0b6cd2be25"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2307.08423",
    "kind": "arxiv",
    "version": 6
  }
}