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Paper Citation Record · LEDGER

Learning to run a power network challenge for training topology controllers

As of 24 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1912.04211.

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

pith.paper-citation-record.v1
1912.04211 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-03T23:28:35.170248Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T04:29:35.202636Z

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 528388fe-f9c9-44cd-a30a-eb719c38401c · 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 Learning to run a power network challenge for training topology controllers

Reference 23

Resolution
verified exact
arxiv_id, observed 2026-07-04T04:29:35.204339Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-06-26T16:57:54.396558Z digest=sha256:d5e5f3d5fea64cac91a3bed2f60cbceb4ee1679cdc937a5705bcc1250f858e81

Observation d897c160-692e-49df-9af6-3a9b643c314a · 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 Learning to run a power network challenge for training topology controllers

Reference 23

Resolution
verified exact
arxiv_id, observed 2026-07-03T23:29:01.841217Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-07-03T23:28:35.170248Z digest=sha256:2b8ac487825b7a15a1cfdc96f6fcd30b27d4f9fb6b71f33a0a695b9709cd0c6e