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Paper Citation Record · LEDGER

VeraGrid-Agent: Tool-Augmented LLMs for Distribution Optimal Power Flow at the Grid Edge

As of 10 August 2026, this Paper Citation Record lists 18 of 18 outbound references and 0 inbound Pith citation observations for arXiv:2607.25155.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2607.25155 v1

Coverage vector

measured 18 of 18 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T03:19:19.398333Z

measured 18 of 18 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

18 of 18 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved18
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 7f3a4ee1-ab7d-4641-828f-8a1ce1de3b23 · outbound

This paper cites an unresolved cited work.

VeraGrid-Agent: Tool-Augmented LLMs for Distribution Optimal Power Flow at the Grid Edge Unresolved cited work

Reference 1

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no resolver link, observed 2026-08-01T03:19:17.677830Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T03:19:17.677830Z digest=sha256:e1661645631780f8175edbd10808cf43d78c0b56835fe753136508836bd8c4af

Observation 0daeef53-dd84-4f20-8244-1fb8970a6a2c · outbound

This paper cites Strong NP-hardness of AC power flows feasibility,.

VeraGrid-Agent: Tool-Augmented LLMs for Distribution Optimal Power Flow at the Grid Edge Strong NP-hardness of AC power flows feasibility,

Reference 2

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no resolver link, observed 2026-08-01T03:19:17.756914Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T03:19:17.756914Z digest=sha256:0aef12d034df4192cbe3a15c333abd63dedf068fad8fe1e25f69e683b2516337

Observation e6a3675e-acad-4719-af94-f27d39d99df4 · outbound

This paper cites Toolformer: Language models can teach themselves to use tools,.

VeraGrid-Agent: Tool-Augmented LLMs for Distribution Optimal Power Flow at the Grid Edge Toolformer: Language models can teach themselves to use tools,

Reference 3

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no resolver link, observed 2026-08-01T03:19:17.820098Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T03:19:17.820098Z digest=sha256:1414c1b49c5279d4c58e78ebf122a897f151274d0b97d9b0bba70fb065cfb5c8

Observation 4351230f-564a-4857-9ddc-0515a385373e · outbound

This paper cites ReAct: Synergizing reasoning and acting in language models,.

VeraGrid-Agent: Tool-Augmented LLMs for Distribution Optimal Power Flow at the Grid Edge ReAct: Synergizing reasoning and acting in language models,

Reference 4

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unresolved
no resolver link, observed 2026-08-01T03:19:17.897930Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T03:19:17.897930Z digest=sha256:eaee1a08eb23bd28b7344f1bfab63c003b2e1e58691feff513f2693c5e9d9d83

Observation 720b6da2-1318-4516-b972-03947204de6f · outbound

This paper cites MRKL Systems: A modular, neuro-symbolic architecture that combines large language models, external knowledge sources and discrete reasoning.

VeraGrid-Agent: Tool-Augmented LLMs for Distribution Optimal Power Flow at the Grid Edge MRKL Systems: A modular, neuro-symbolic architecture that combines large language models, external knowledge sources and discrete reasoning

Reference 5

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unresolved
no resolver link, observed 2026-08-01T03:19:17.960802Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T03:19:17.960802Z digest=sha256:161c63572db2dc64951275c772641d7e31ad5191abb9b4844f0cbecce6f23562

Observation a211a655-c18d-4a82-ae90-163d64d37ba2 · outbound

This paper cites HuggingGPT: Solving AI tasks with ChatGPT and its friends in Hugging Face,.

VeraGrid-Agent: Tool-Augmented LLMs for Distribution Optimal Power Flow at the Grid Edge HuggingGPT: Solving AI tasks with ChatGPT and its friends in Hugging Face,

Reference 6

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no resolver link, observed 2026-08-01T03:19:18.036893Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T03:19:18.036893Z digest=sha256:4693dc41b1949ee84fa548bcec0fac8719900964d0ca5fb30e41787075ece7ed

Observation 340a80a3-0f91-46d9-aea5-dd848290ab3f · outbound

This paper cites Gorilla: Large language model connected with massive APIs,.

VeraGrid-Agent: Tool-Augmented LLMs for Distribution Optimal Power Flow at the Grid Edge Gorilla: Large language model connected with massive APIs,

Reference 7

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no resolver link, observed 2026-08-01T03:19:18.081590Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T03:19:18.081590Z digest=sha256:ef0b925540a1d77bc9c4b091b9cdd271a42d8310d3d76fe45bab58f022f1f485

Observation 61dfa00e-0eeb-46ec-b802-c909eab1aa1d · outbound

This paper cites Large language models for power system applications: A comprehensive literature survey,.

VeraGrid-Agent: Tool-Augmented LLMs for Distribution Optimal Power Flow at the Grid Edge Large language models for power system applications: A comprehensive literature survey,

Reference 8

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no resolver link, observed 2026-08-01T03:19:18.156747Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T03:19:18.156747Z digest=sha256:07b6dbb1e07dc63b1e14ed31ce28650ba1826c4019add41c000d412679852b71

Observation b0e83cd4-cefb-45d4-9e45-57cf8cacfb04 · outbound

This paper cites ChatGrid: Intelligent knowledge Q&A for power dispatching control based on large language models and retrieval-augmented generation,.

VeraGrid-Agent: Tool-Augmented LLMs for Distribution Optimal Power Flow at the Grid Edge ChatGrid: Intelligent knowledge Q&A for power dispatching control based on large language models and retrieval-augmented generation,

Reference 9

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unresolved
no resolver link, observed 2026-08-01T03:19:18.246877Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T03:19:18.246877Z digest=sha256:8550cd032154b0db6de9dbedd562a0820144700c0ecf63c7eddb75415b6beba4

Observation 96292805-18e2-4667-9e16-e16dd1aa32ed · outbound

This paper cites ElecBench: a Power Dispatch Evaluation Benchmark for Large Language Models.

VeraGrid-Agent: Tool-Augmented LLMs for Distribution Optimal Power Flow at the Grid Edge ElecBench: a Power Dispatch Evaluation Benchmark for Large Language Models

Reference 10

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unresolved
no resolver link, observed 2026-08-01T03:19:18.360237Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T03:19:18.360237Z digest=sha256:6199979981555f3497bb5e76bb83cc5832d37f4428d456c07e8341b9f007c2b9

Observation 9b673c0b-57b4-4286-9f1f-9fdea37b4d62 · outbound

This paper cites GridMind: LLMs-Powered Agents for Power System Analysis and Operations.

VeraGrid-Agent: Tool-Augmented LLMs for Distribution Optimal Power Flow at the Grid Edge GridMind: LLMs-Powered Agents for Power System Analysis and Operations

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-01T03:19:18.464551Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T03:19:18.464551Z digest=sha256:07e528334c69113e0208f09f95ef2dad85c5960dfc85b3c40efbbece8c55a6ba

Observation cf68541e-de21-41d5-9bd1-6271b78e2364 · outbound

This paper cites PowerAgentBench-SS: A Benchmark for Agentic AI in Power System Steady-State Studies.

VeraGrid-Agent: Tool-Augmented LLMs for Distribution Optimal Power Flow at the Grid Edge PowerAgentBench-SS: A Benchmark for Agentic AI in Power System Steady-State Studies

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-01T03:19:18.585287Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T03:19:18.585287Z digest=sha256:6e818e3ab84fc0304eb50d31ccc6ae7196944577a50f6bd21a1e72b0c78f0e2b

Observation 65fd7ce1-c869-4666-859d-6b08590dd8a6 · outbound

This paper cites Power Systems Agent Benchmark: Executable Evaluation of AI Agents in Electric Power Engineering.

VeraGrid-Agent: Tool-Augmented LLMs for Distribution Optimal Power Flow at the Grid Edge Power Systems Agent Benchmark: Executable Evaluation of AI Agents in Electric Power Engineering

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-01T03:19:18.681399Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T03:19:18.681399Z digest=sha256:bdb5100fb1ce0340aab004155e504294c96fb1724c4c36d47b80ba22fc0b711e

Observation fb56a6e0-171f-432d-baca-a9d1e93af130 · outbound

This paper cites ProOPF: Benchmarking and Improving LLMs for Professional-Grade Power Systems Optimization Modeling.

VeraGrid-Agent: Tool-Augmented LLMs for Distribution Optimal Power Flow at the Grid Edge ProOPF: Benchmarking and Improving LLMs for Professional-Grade Power Systems Optimization Modeling

Reference 14

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unresolved
no resolver link, observed 2026-08-01T03:19:18.757212Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T03:19:18.757212Z digest=sha256:2ed90a819baa9cbe668af790b56118dd28f3b6927df50ede672a9d3aa247744d

Observation 73794c5c-defe-44d5-a994-6e60c7c03f3c · outbound

This paper cites Measuring Mathematical Problem Solving With the MATH Dataset.

VeraGrid-Agent: Tool-Augmented LLMs for Distribution Optimal Power Flow at the Grid Edge Measuring Mathematical Problem Solving With the MATH Dataset

Reference 15

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unresolved
no resolver link, observed 2026-08-01T03:19:18.946250Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T03:19:18.946250Z digest=sha256:b54906f360522748da06852da5bea19308e6abdc7a9154a2782b1d0b2ddbab87

Observation c3d3afd1-cd98-4412-8f87-2a5a2ba7681c · outbound

This paper cites SciBench: Evaluating college-level scientific problem-solving abilities of large language models,.

VeraGrid-Agent: Tool-Augmented LLMs for Distribution Optimal Power Flow at the Grid Edge SciBench: Evaluating college-level scientific problem-solving abilities of large language models,

Reference 16

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no resolver link, observed 2026-08-01T03:19:19.109971Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T03:19:19.109971Z digest=sha256:2af9cac57b72a721297d727f0d42fab93a0ffdad091608e7bdc0b96140c63a89

Observation dc84c914-33b3-4e20-b04e-56062991b26c · outbound

This paper cites Large language models are not robust multiple choice selectors,.

VeraGrid-Agent: Tool-Augmented LLMs for Distribution Optimal Power Flow at the Grid Edge Large language models are not robust multiple choice selectors,

Reference 17

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no resolver link, observed 2026-08-01T03:19:19.270616Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T03:19:19.270616Z digest=sha256:96948731516024d47172448e93baa4599214300229087355c54c09a6614296aa

Observation 5f92745d-8edf-4eb5-a5a2-17496bc2b6f0 · outbound

This paper cites Optimal power flow using graph neural networks,.

VeraGrid-Agent: Tool-Augmented LLMs for Distribution Optimal Power Flow at the Grid Edge Optimal power flow using graph neural networks,

Reference 18

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no resolver link, observed 2026-08-01T03:19:19.398333Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T03:19:19.398333Z digest=sha256:23e1364a33a2405883135d033fb3f5015b9159464edca2a0e7960909b64f2cd7

Pith citing papers

No inbound Pith citation observations are available.