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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=sha256:55f0e6e566e3bc038070ccdb6351d85b1583e4be7ddc7d477d2e6a37ee6a76ef

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:c09b7a0deef4cdf8b4ab4215fe06516598e199fb4f4303ffadfdc27495d8f2ec

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:ca70e79b2230f549f113545b6247a327bc30b0622ad8abf9e5df165c521ebd4b

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:c453448e5bc96ed4f96223c3e526e334989926350b8e753092aaf2a42e4a55ce

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:c829ec959c29745812fdc609649e6920930900fa52386ec8dc802ddb4a79fee0

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:fc418178c9d3bf62254bde0726e4abc5a38d0b1135d2b15d7b9294f0e8b388c8

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=sha256:7a49b76f25845e8da8b4cc44ed65ad06c41f87f84329fc4779fd2ebde17be465

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=sha256:319ccaf1f258278604f6c4b7b46896bf73b075ccbf481852585cdd16f9c21dbf

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=sha256:0ba67882c7a5081f12c0c4babc45068c245bd79f9d62a2ca6eec44f014b2c4ce