Pith Number

pith:ZWQ5F4RX

pith:2026:ZWQ5F4RXBT6WABWBFBGWFENJUI

not attested not anchored not stored refs resolved

Bridging the Gap on AI-Assisted Scientific Software Development Through Transparency and Traceability

Casey Icenhour, Chaitanya Bhave, Cody J. Permann, Daniel Schwen, Lin Yang, Pierre-Cl\'ement A. Simon

A structured framework allows AI-assisted verification and validation in scientific software to meet NQA-1 standards while preserving human accountability.

arxiv:2605.17675 v1 · 2026-05-17 · cs.SE · cond-mat.mtrl-sci

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\usepackage{pith}
\pithnumber{ZWQ5F4RXBT6WABWBFBGWFENJUI}

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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.

Claims

C1strongest claim

The proposed guidance, developed based on practical experience described herein, operates within NQA-1 requirements, preserves human accountability, and establishes the disclosure and review standards that responsible AI-assisted scientific software development demands.

C2weakest assumption

That the structured framework developed from TMAP8 V&V experience can be generalized and implemented across other scientific software projects subject to strict SQA without introducing new compliance gaps.

C3one line summary

Proposes guidance for responsible AI use in scientific software development under NQA-1 standards, illustrated with TMAP8 V&V cases to ensure accountability and auditability.

References

60 extracted · 60 resolved · 3 Pith anchors

[1] Roumeliotis, and Manoj Karkee 2025

[2] Agentic Much? Adoption of Coding Agents on GitHub 2026 · arXiv:2601.18341

[3] The Landscape of Emerging AI Agent Architectures for Reasoning, Planning, and Tool Calling: A Survey 2024 · arXiv:2404.11584

[4] https://anthropic.com/research/ measuring-agent-autonomy 19

[5] Nature Machine Intelligence8(2), 136–137 (2026) https://doi.org/10.1038/ s42256-026-01178-z 2026

Formal links

2 machine-checked theorem links

Receipt and verification

First computed	2026-05-20T00:04:52.149030Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

cda1d2f2370cfd6006c1284d6291a9a23fc86d0397d2126f98a66e77ffff7baf

Aliases

arxiv: 2605.17675 · arxiv_version: 2605.17675v1 · doi: 10.48550/arxiv.2605.17675 · pith_short_12: ZWQ5F4RXBT6W · pith_short_16: ZWQ5F4RXBT6WABWB · pith_short_8: ZWQ5F4RX

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/ZWQ5F4RXBT6WABWBFBGWFENJUI \
  | 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: cda1d2f2370cfd6006c1284d6291a9a23fc86d0397d2126f98a66e77ffff7baf

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "017559586324baa7af67206cde0b2258a35175b040c5cca3f168bfb1acbdab3f",
    "cross_cats_sorted": [
      "cond-mat.mtrl-sci"
    ],
    "license": "http://creativecommons.org/licenses/by/4.0/",
    "primary_cat": "cs.SE",
    "submitted_at": "2026-05-17T22:08:52Z",
    "title_canon_sha256": "d141a1ce2230203c86e83d9a8f9955e422afc68f20c24bb60ba7de7202db9444"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2605.17675",
    "kind": "arxiv",
    "version": 1
  }
}