Paper Citation Record · LEDGER

GridMind: LLMs-Powered Agents for Power System Analysis and Operations

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2509.02494.

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

pith.paper-citation-record.v1
2509.02494 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-01T15:54:35.625829Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T04:29:35.260013Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 133112f5-a335-4f90-b682-400bae9f18c7 · inbound

Grid-Orch: An LLM-Powered Orchestrator for Distribution Grid Simulation and Analytics cites this paper.

Grid-Orch: An LLM-Powered Orchestrator for Distribution Grid Simulation and Analytics GridMind: LLMs-Powered Agents for Power System Analysis and Operations

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-05-14T20:02:53.567227Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation d3aba181-b64c-49e8-95cd-7f97b42469bf · inbound

Knowledge Boundary Probing and Demand-Guided Intervention for LLM-Based Power System Code Generation cites this paper.

Knowledge Boundary Probing and Demand-Guided Intervention for LLM-Based Power System Code Generation GridMind: LLMs-Powered Agents for Power System Analysis and Operations

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-07-01T20:16:11.859488Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 667516d4-5778-447c-b1e4-9acb3a0b2834 · inbound

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

Power Systems Agent Benchmark: Executable Evaluation of AI Agents in Electric Power Engineering GridMind: LLMs-Powered Agents for Power System Analysis and Operations

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-07-04T04:29:35.261657Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation cf31469b-0e76-4725-a139-2a0e43244974 · inbound

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

Power Systems Agent Benchmark: Executable Evaluation of AI Agents in Electric Power Engineering GridMind: LLMs-Powered Agents for Power System Analysis and Operations

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-07-03T23:29:01.866566Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 082a7d46-6ace-4d61-bb96-e69adf39c7e6 · inbound

LLMs and Agentic AI Systems for Smart Grids: A Tutorial on Architectures and Applications cites this paper.

LLMs and Agentic AI Systems for Smart Grids: A Tutorial on Architectures and Applications GridMind: LLMs-Powered Agents for Power System Analysis and Operations

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-01T15:54:35.625829Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

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

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.