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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 2026-08-10T06:31:04.303077+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
  • metadata mismatch0

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-14T19:59:29.894801Z digest=sha256:3ac0382d27436e11f395eeab52588ac45ac0eb3d4dd22fa3bea44f22464291a1

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-28T21:25:51.439330Z digest=sha256:c56a86c6dd778858a430f4ecd50638a2c1f5a29a7e6ce2a966246c077cd2ccbd

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-26T16:57:54.396558Z digest=sha256:1df2011315c0f35e19f81aa6fc696350af576e8782ea69da4a365c1ff4e5ef5d

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-07-03T23:28:35.170248Z digest=sha256:4871815321162d0f17c2d0c5969cd8cebe03e0e6e1a04af78fa92fbc3bbc9e1a

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.

source=pdf_text observed=2026-08-01T15:54:35.625829Z digest=sha256:e1df23a302a8e5fd23da7c90125a22dca30faa63e1ce90189111f3ca06d0f443

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.

source=pdf_text observed=2026-08-01T03:19:18.464551Z digest=sha256:73057df05f49451d476c88f78cb88d9b2c23b195107db8f70d63f9c18c941fb9