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Paper Citation Record · LEDGER

ElecBench: a Power Dispatch Evaluation Benchmark for Large Language Models

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2407.05365.

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

pith.paper-citation-record.v1
2407.05365 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 9 of 9 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 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-01T03:19:18.360237Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T15:29:56.682486Z

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 6370767d-5939-4c25-a665-1349cdc8b567 · inbound

EngiBench: A Benchmark for Evaluating Large Language Models on Engineering Problem Solving cites this paper.

EngiBench: A Benchmark for Evaluating Large Language Models on Engineering Problem Solving ElecBench: a Power Dispatch Evaluation Benchmark for Large Language Models

Reference 54

Resolution
verified exact
arxiv_id, observed 2026-05-18T15:11:32.638903Z

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=2026-05-18T15:08:03.793304Z digest=sha256:9e1ad30726dcd7351478567c6b6150c20022235d308a34d5c2af92b8fc69d724

Observation c48e02da-14f0-4758-9643-5eac16497f7c · inbound

Enhancing Large Language Model-Based Systems for End-to-End Circuit Analysis Problem Solving cites this paper.

Enhancing Large Language Model-Based Systems for End-to-End Circuit Analysis Problem Solving ElecBench: a Power Dispatch Evaluation Benchmark for Large Language Models

Reference 25

Resolution
verified exact
arxiv_id, observed 2026-05-16T22:53:38.382206Z

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=2026-05-16T22:52:32.629737Z digest=sha256:e32ee42448a108719fe42d3791bce06613bd584b3857e166114530dac5e7f2a1

Observation 54bb7d2e-0add-4c9e-b830-dc9c5d87727d · 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 ElecBench: a Power Dispatch Evaluation Benchmark for Large Language Models

Reference 24

Resolution
verified exact
arxiv_id, observed 2026-07-01T20:16:11.845599Z

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=sha256:7ab1e8fcd57c3f130a8c97ea2dfb4e46142082f2da4939b07aa3d4f9feec55d0

Observation 3c1ad2ca-8b29-40bf-93c0-3e64936537e6 · 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 ElecBench: a Power Dispatch Evaluation Benchmark for Large Language Models

Reference 19

Resolution
verified exact
arxiv_id, observed 2026-07-04T04:29:35.258911Z

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=sha256:1a0c6f5925bdedb4940c46a2d788fca1456b657370f9515aa10a74b115843e68

Observation 6179751b-e13a-4943-af92-f916df10f03e · 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 ElecBench: a Power Dispatch Evaluation Benchmark for Large Language Models

Reference 19

Resolution
verified exact
arxiv_id, observed 2026-07-03T23:29:01.854375Z

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=sha256:710fcd2a42f8e7c1967e3995335c5fec84e65c9fd3781b555d5a9311c66e5d12

Observation 016be749-0a5d-4c86-a1bb-32a19abf0776 · 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? ElecBench: a Power Dispatch Evaluation Benchmark for Large Language Models

Reference 34

Resolution
verified exact
arxiv_id, observed 2026-07-04T15:29:56.684022Z

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=2026-06-26T01:34:10.103638Z digest=sha256:ff971541ab560a67160d5a4a8a16f0698f067a879f8854a356420f25518f1af5

Observation d8b42017-ed3f-45d3-80c7-bc51f58a2ce9 · inbound

A Multimodal Dataset for Large Language Model Applications in the Energy Domain cites this paper.

A Multimodal Dataset for Large Language Model Applications in the Energy Domain ElecBench: a Power Dispatch Evaluation Benchmark for Large Language Models

Reference 31

Resolution
unresolved
no resolver link, observed 2026-07-14T05:27:26.535257Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T05:27:26.535257Z digest=sha256:b852869e7f8f8f4d0b4e1d93456c3dc1bbc9c4f22554eb496628dcfb7690d74a

Observation 96292805-18e2-4667-9e16-e16dd1aa32ed · 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 ElecBench: a Power Dispatch Evaluation Benchmark for Large Language Models

Reference 10

Resolution
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 9cc3ecc7-52b2-436f-b1e8-4ae0e05641d1 · inbound

PowerAtlas: Towards Electricity-Computing Co-Scheduling for Power Systems cites this paper.

PowerAtlas: Towards Electricity-Computing Co-Scheduling for Power Systems ElecBench: a Power Dispatch Evaluation Benchmark for Large Language Models

Reference 86

Resolution
unresolved
no resolver link, observed 2026-07-30T23:22:39.672825Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-30T23:22:39.672825Z digest=sha256:5d6eb0df7429fd2078f9bb3d62bc80088cb09e758d88a378bb860f5321bab3e5