Pith Number

pith:7FMAUSTV

pith:2025:7FMAUSTVE6ETC2OLFENHRYCNGY

not attested not anchored not stored refs pending

Fine-Tuning Universal Machine-Learned Interatomic Potentials: A Tutorial on Methods and Applications

Kehan Zeng, Teng Zhao, Xiaoqing Liu, Yangshuai Wang, Zedong Luo, Zhenli Xu

arxiv:2506.21935 v2 · 2025-06-27 · physics.comp-ph

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\usepackage{pith}
\pithnumber{7FMAUSTVE6ETC2OLFENHRYCNGY}

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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

5 papers in Pith

Six Open Questions in Machine-Learned Interatomic Potential Foundation Models

Fine-Tuning a Universal Machine-Learned Interatomic Potential for Oxygen Plasma Interactions with WS$_2$

Universal Interatomic Potentials as Configuration-Space Generators for One-Shot and Iterative Fine-Tuning of Ab Initio-Accurate Material-Specific Models

Lang2MLIP: End-to-End Language-to-Machine Learning Interatomic Potential Development with Autonomous Agentic Workflows

VibroML: an automated toolkit for high-throughput vibrational analysis and dynamic instability remediation of crystalline materials using machine-learned potentials

Receipt and verification

First computed	2026-07-05T11:57:37.688903Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

f9580a4a7527893169cb291a78e04d362a823d5317bffe34b31cc4bc40714972

Aliases

arxiv: 2506.21935 · arxiv_version: 2506.21935v2 · doi: 10.48550/arxiv.2506.21935 · pith_short_12: 7FMAUSTVE6ET · pith_short_16: 7FMAUSTVE6ETC2OL · pith_short_8: 7FMAUSTV

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/7FMAUSTVE6ETC2OLFENHRYCNGY \
  | 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: f9580a4a7527893169cb291a78e04d362a823d5317bffe34b31cc4bc40714972

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "92522a7b1a351797eed74990368d6e99e49e0b7bbd6224e0dff345d9d8723169",
    "cross_cats_sorted": [],
    "license": "http://creativecommons.org/publicdomain/zero/1.0/",
    "primary_cat": "physics.comp-ph",
    "submitted_at": "2025-06-27T06:12:25Z",
    "title_canon_sha256": "2ce2e74905cb7bfe71a3fb880d2e3a66464fbbeaa5dd88c3ff958a4490298f67"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2506.21935",
    "kind": "arxiv",
    "version": 2
  }
}