Paper Citation Record · LEDGER

Grid-Agent: An LLM-Powered Multi-Agent System for Power Grid Control

As of 1 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2508.05702.

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

pith.paper-citation-record.v1
2508.05702 v3

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 2026-07-31T06:34:12.847434+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-13T23:12:55.091668Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T15:29:56.675058Z

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 968b1423-6317-4d2b-a54a-491a5e29049a · inbound

When control meets large language models: From words to dynamics cites this paper.

When control meets large language models: From words to dynamics Grid-Agent: An LLM-Powered Multi-Agent System for Power Grid Control

Reference 137

Resolution: verified exact; arxiv_id, observed 2026-05-21T14:54:13.218064Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.

Observation e82d3718-e929-4496-8803-522b6db54b7e · inbound

PowerDAG: Supervisory Agentic AI System for Automating Distribution Grid Analysis cites this paper.

PowerDAG: Supervisory Agentic AI System for Automating Distribution Grid Analysis Grid-Agent: An LLM-Powered Multi-Agent System for Power Grid Control

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-05-15T09:29:53.381407Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.

Observation 6198408a-e30e-473e-869b-ef738ee547dc · inbound

PowerDAG: Supervisory Agentic AI System for Automating Distribution Grid Analysis cites this paper.

PowerDAG: Supervisory Agentic AI System for Automating Distribution Grid Analysis Grid-Agent: An LLM-Powered Multi-Agent System for Power Grid Control

Reference 23

Resolution: unresolved; no resolver link, observed 2026-07-13T23:12:55.091668Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 574ecb16-d4ba-4d36-8eec-25280ba3d2d4 · inbound

Competition and Cooperation of LLM Agents in Games cites this paper.

Competition and Cooperation of LLM Agents in Games Grid-Agent: An LLM-Powered Multi-Agent System for Power Grid Control

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-05-13T22:38:22.608367Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.

Observation b456a70d-2afb-47cb-9c25-612a8ca5e828 · 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 Grid-Agent: An LLM-Powered Multi-Agent System for Power Grid Control

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-05-14T20:02:53.574774Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.

Observation a1cb24d5-7313-484d-8596-3e9fe120f087 · inbound

How Do Tool-Augmented LLM Agents Perform on Real-World Energy Analytics Tasks? cites this paper.

How Do Tool-Augmented LLM Agents Perform on Real-World Energy Analytics Tasks? Grid-Agent: An LLM-Powered Multi-Agent System for Power Grid Control

Reference 39

Resolution: verified exact; arxiv_id, observed 2026-07-04T15:29:56.676833Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.