Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Learning to run a Power Network Challenge: a Retrospective Analysis
As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2103.03104.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-12T20:16:21.538074Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-22T06:56:10.596863Z
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 949c29a3-b2b4-4b7a-98d6-7d27512d0e9c · inbound
InvestESG: A multi-agent reinforcement learning benchmark for studying climate investment as a social dilemma cites this paper.
InvestESG: A multi-agent reinforcement learning benchmark for studying climate investment as a social dilemma Learning to run a Power Network Challenge: a Retrospective Analysis
Reference 19
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T20:16:21.538074Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 879fc3a0-51cb-4990-b319-8f7a69ff20ea · inbound
Robust Defense Against Extreme Grid Events Using Dual-Policy Reinforcement Learning Agents cites this paper.
Robust Defense Against Extreme Grid Events Using Dual-Policy Reinforcement Learning Agents Learning to run a Power Network Challenge: a Retrospective Analysis
Reference 7
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T18:56:21.390206Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1724816b-cf51-4bcd-af59-83a48ee0815e · inbound
Large-scale Grid Optimization: The Workhorse of Future Grid Computations cites this paper.
Large-scale Grid Optimization: The Workhorse of Future Grid Computations Learning to run a Power Network Challenge: a Retrospective Analysis
Reference 119
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T21:30:10.844757Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation dc357dde-bada-4bf8-9bcc-07b9702c2def · inbound
Cyber-Physical Anomaly Detection in IoT-Enabled Smart Grids Using Machine Learning and Metaheuristic Feature Optimization cites this paper.
Cyber-Physical Anomaly Detection in IoT-Enabled Smart Grids Using Machine Learning and Metaheuristic Feature Optimization Learning to run a Power Network Challenge: a Retrospective Analysis
Reference 14
- Resolution
- malformed identifier
- arxiv_id, observed 2026-05-22T06:56:10.598895Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 295407fc-4ef3-41cb-820f-602ce389aca2 · inbound
Audited Selective Verification for Risk-Controlled N-1 Thermal Contingency Screening under Deployment Shift cites this paper.
Audited Selective Verification for Risk-Controlled N-1 Thermal Contingency Screening under Deployment Shift Learning to run a Power Network Challenge: a Retrospective Analysis
Reference 2
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T05:57:55.806203Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.