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pith:TXN3N6B2

pith:2026:TXN3N6B2ZCSPO4P4J2BCZYW6WO
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On Integrating Resilience and Human Oversight into LLM-Assisted Modeling Workflows for Digital Twins

Lekshmi P, Neha Karanjkar

Three design principles using a density-preserving intermediate representation enable resilient LLM-assisted workflows for digital twins.

arxiv:2603.25898 v3 · 2026-03-26 · eess.SY · cs.AI · cs.SE · cs.SY

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\pithnumber{TXN3N6B2ZCSPO4P4J2BCZYW6WO}

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3 Author claim open · sign in to claim
4 Citations open
5 Replications open
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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

We present three critical design principles for integrating resilience and oversight into such workflows... A key contribution is detailed characterization of LLM-induced errors across model descriptions of varying detail and complexity, revealing how IR choice critically impacts error rates.

C2weakest assumption

The assumption that the error characterization and design principles observed in FactoryFlow generalize beyond the specific manufacturing examples and LLM versions tested.

C3one line summary

Three design principles for LLM-assisted digital twin modeling emphasize separating structure from parameters, using library components, and a density-preserving Python IR to limit hallucination error growth.

Receipt and verification
First computed 2026-05-21T01:05:18.227747Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

9ddbb6f83ac8a4f771fc4e822ce2deb38a9fabe173e82f43178accdadbaa11a0

Aliases

arxiv: 2603.25898 · arxiv_version: 2603.25898v3 · doi: 10.48550/arxiv.2603.25898 · pith_short_12: TXN3N6B2ZCSP · pith_short_16: TXN3N6B2ZCSPO4P4 · pith_short_8: TXN3N6B2
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Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/TXN3N6B2ZCSPO4P4J2BCZYW6WO \
  | 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: 9ddbb6f83ac8a4f771fc4e822ce2deb38a9fabe173e82f43178accdadbaa11a0
Canonical record JSON
{
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    "abstract_canon_sha256": "901dfd8fe0abf4fffdce7a2a78a098b1e60c69b0899a510ddef25768b502afaf",
    "cross_cats_sorted": [
      "cs.AI",
      "cs.SE",
      "cs.SY"
    ],
    "license": "http://creativecommons.org/licenses/by-nc-nd/4.0/",
    "primary_cat": "eess.SY",
    "submitted_at": "2026-03-26T20:38:03Z",
    "title_canon_sha256": "6c10793527b18f32087ebd191a6d728114a6636d71e1fabe83fc2332d8299c32"
  },
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  "source": {
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    "kind": "arxiv",
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}