Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
ChaosBench: A Multi-Channel, Physics-Based Benchmark for Subseasonal-to-Seasonal Climate Prediction
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2402.00712.
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 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T15:34:18.702707Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-03T04:27:37.242592Z
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 93013adf-c7a1-4c63-898d-3b68b1806b5a · inbound
LatticeVision: Image to Image Networks for Modeling Non-Stationary Spatial Data cites this paper.
LatticeVision: Image to Image Networks for Modeling Non-Stationary Spatial Data ChaosBench: A Multi-Channel, Physics-Based Benchmark for Subseasonal-to-Seasonal Climate Prediction
Reference 6
- Resolution
- verified exact
- arxiv_id, observed 2026-05-22T14:51:42.829549Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 9128dbc3-bb90-44a8-b4fe-8293eca27077 · inbound
Deep Koopman operator framework for causal discovery in nonlinear dynamical systems cites this paper.
Deep Koopman operator framework for causal discovery in nonlinear dynamical systems ChaosBench: A Multi-Channel, Physics-Based Benchmark for Subseasonal-to-Seasonal Climate Prediction
Reference 46
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:34:18.702707Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fe3d92a0-247b-4a18-b995-9ec659484fbc · inbound
Self-Supervised Evolution Operator Learning for High-Dimensional Dynamical Systems cites this paper.
Self-Supervised Evolution Operator Learning for High-Dimensional Dynamical Systems ChaosBench: A Multi-Channel, Physics-Based Benchmark for Subseasonal-to-Seasonal Climate Prediction
Reference 92
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:36:17.455151Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9d8657d5-f155-4d54-ad85-df6b5340e795 · inbound
LangPrecip: Language-Aware Multimodal Precipitation Nowcasting cites this paper.
LangPrecip: Language-Aware Multimodal Precipitation Nowcasting ChaosBench: A Multi-Channel, Physics-Based Benchmark for Subseasonal-to-Seasonal Climate Prediction
Reference 15
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-16T19:18:19.619414Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation da2dedce-ed19-4f16-a64a-39caff27639d · inbound
WeatherSyn: An Instruction Tuning MLLM For Weather Forecasting Report Generation cites this paper.
WeatherSyn: An Instruction Tuning MLLM For Weather Forecasting Report Generation ChaosBench: A Multi-Channel, Physics-Based Benchmark for Subseasonal-to-Seasonal Climate Prediction
Reference 68
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-11T04:10:56.324615Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 5ee16ac2-f478-463e-99b6-93a6b563943a · inbound
PhysMetrics.Weather: An Evaluation Framework for Physical Consistency in ML Weather Models cites this paper.
PhysMetrics.Weather: An Evaluation Framework for Physical Consistency in ML Weather Models ChaosBench: A Multi-Channel, Physics-Based Benchmark for Subseasonal-to-Seasonal Climate Prediction
Reference 26
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-03T04:27:37.244584Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 0ccc3a23-28ea-4100-a633-c4a342405d46 · inbound
Weather Emulators at the Frontier of Heat Extremes Predictability cites this paper.
Weather Emulators at the Frontier of Heat Extremes Predictability ChaosBench: A Multi-Channel, Physics-Based Benchmark for Subseasonal-to-Seasonal Climate Prediction
Reference 55
- Resolution
- unresolved
- no resolver link, observed 2026-07-31T14:18:21.937990Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.