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Paper Citation Record · LEDGER

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

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 11 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 11 of 11 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 11 of 11 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T11:01:43.450648Z

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 d2c40944-0163-4135-ab68-dfc31960df3d · inbound

Cost and Accuracy of Long-Term Memory in Distributed Multi-Agent Systems Based on Large Language Models cites this paper.

Cost and Accuracy of Long-Term Memory in Distributed Multi-Agent Systems Based on Large Language Models Grid-Agent: An LLM-Powered Multi-Agent System for Power Grid Control

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-03T11:01:43.450648Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T11:01:43.450648Z digest=sha256:13d19405464a61769e89581e91e219e1f0525a0f31f89b39b43df91e63c11bd9

Observation 4c59bf9f-7b65-4b8c-9775-2a3522e32ef2 · inbound

A Survey on Evaluating Quality and Trustworthiness in LLM-Generated Data cites this paper.

A Survey on Evaluating Quality and Trustworthiness in LLM-Generated Data Grid-Agent: An LLM-Powered Multi-Agent System for Power Grid Control

Reference 273

Resolution
unresolved
no resolver link, observed 2026-08-03T08:15:37.735691Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T08:15:37.735691Z digest=sha256:ce137478bd9c3e6b55c108c7a0b335562f697b106fb202324e1005b8807d6595

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-05-21T14:52:44.632671Z digest=sha256:ca82f3bfbcc1d4cc35dbb644f968fe34d693fe70e2032a38e13732794d789fdb

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-05-15T09:29:11.147253Z digest=sha256:965e4c5479ed51fc630b4bf7fb9f77a620f6ab09ec4954d27a11e3a1e74a662a

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.

source=pdf_text observed=2026-07-13T23:12:55.091668Z digest=sha256:6ff9ed7043758b893c44d9f9c3dc457d2df801099d422d17f4b1b6e828f3b6ce

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-05-13T22:34:02.119385Z digest=sha256:18b1f59aee3cf10963b4a2b049d1712c8510f6395b96073d4ae8c406e7fc3014

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-05-14T19:59:29.894801Z digest=sha256:7191275b97142cdaaac7c41b779c8ec416df3170f4e7cec2bd2318dfabbcaef2

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-06-26T01:34:10.103638Z digest=sha256:99e6fdf4235f33320f9e7b2f638d17372052d5d8fcedbc5b7e5ea98d1419c5ab

Observation 1cf22bc3-546b-4b8b-b0d8-603f1bb7563d · 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 Grid-Agent: An LLM-Powered Multi-Agent System for Power Grid Control

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-01T15:54:35.744746Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T15:54:35.744746Z digest=sha256:b552f2b9995d3c99e18fe0b21744a56cc8012f16983e4cf4be4f16e61c6d4f00

Observation 1337e67e-a535-419d-8d8a-1fdc3537cf72 · inbound

Engineering Trustworthy Agentic AI for Critical Systems cites this paper.

Engineering Trustworthy Agentic AI for Critical Systems Grid-Agent: An LLM-Powered Multi-Agent System for Power Grid Control

Reference 104

Resolution
unresolved
no resolver link, observed 2026-08-01T15:07:33.899047Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T15:07:33.899047Z digest=sha256:343c4685b2cdfbf07825ca15d1ece1beaf796c79dca9934a123c41c40ee57139

Observation 2495fea1-e4ba-4d75-8f17-cefda79849e8 · inbound

Agentic Artificial Intelligence for Power Systems: Strategies to Identify and Close Capability Gaps cites this paper.

Agentic Artificial Intelligence for Power Systems: Strategies to Identify and Close Capability Gaps Grid-Agent: An LLM-Powered Multi-Agent System for Power Grid Control

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-03T00:21:39.004717Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T00:21:39.004717Z digest=sha256:f5604c9619513039075070c6b6650945e094506eb1ca9eb37dc5510a4764ee4a