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pith:GWCKNH4S

pith:2026:GWCKNH4SWUFCCC3K4JXMS6N4EG
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Grid-Orch: An LLM-Powered Orchestrator for Distribution Grid Simulation and Analytics

Boming Liu, Jamie Lian, Jin Dong

Grid-Orch connects large language models to OpenDSS so engineers can run complex grid analyses through natural language.

arxiv:2605.12728 v1 · 2026-05-12 · eess.SY · cs.AI · cs.SE · cs.SY

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\pithnumber{GWCKNH4SWUFCCC3K4JXMS6N4EG}

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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

Workflow demonstrations show that distribution analyses formerly requiring hours of scripting, such as distributed energy resource (DER) interconnection screening, complete in under two minutes through natural language, producing numerically identical results to direct OpenDSS scripting.

C2weakest assumption

The assumption that the LLM can consistently and accurately orchestrate multi-step workflows using the provided tools without hallucinations or errors in tool selection and sequencing.

C3one line summary

Grid-Orch is an LLM-orchestrated system with 36 tools that lets users perform distribution grid simulations and optimizations through conversation, matching direct scripting results.

References

43 extracted · 43 resolved · 1 Pith anchors

[1] The future of the energy workforce, 2025
[2] U.S. energy and employment report 2024, 2024
[3] Grid modernization strategy 2024, 2024
[4] World energy employment 2025, 2025
[5] OpenDSS: Open distribution system simulator, 2023

Formal links

2 machine-checked theorem links

Receipt and verification
First computed 2026-05-18T03:09:49.285718Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

3584a69f92b50a210b6ae26ec979bc21a7114c13f2839ab5582c3d170144ba3e

Aliases

arxiv: 2605.12728 · arxiv_version: 2605.12728v1 · doi: 10.48550/arxiv.2605.12728 · pith_short_12: GWCKNH4SWUFC · pith_short_16: GWCKNH4SWUFCCC3K · pith_short_8: GWCKNH4S
Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/GWCKNH4SWUFCCC3K4JXMS6N4EG \
  | 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: 3584a69f92b50a210b6ae26ec979bc21a7114c13f2839ab5582c3d170144ba3e
Canonical record JSON
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    "abstract_canon_sha256": "9406865667a3490e3f491a525c307b4973750d0c2a7c4f4fe29dbf6f66d1177c",
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    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "eess.SY",
    "submitted_at": "2026-05-12T20:31:34Z",
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