Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2307.01909.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T15:36:49.410587Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-03T04:27:37.236586Z
0 of 0 outbound references displayed
External citation measurements
No source-named external measurement is stored.
No outbound reference observations are available for this paper version.
Observation 3975b04b-26ac-4f9a-b285-b23249395545 · inbound
Physics-Guided Learning of Meteorological Dynamics for Weather Downscaling and Forecasting ClimateLearn: Benchmarking Machine Learning for Weather and Climate Modeling
Reference 28
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 99824df1-0e0e-481e-9246-c1bfa47fcdb9 · inbound
RainShift: A Benchmark for Precipitation Downscaling Across Geographies ClimateLearn: Benchmarking Machine Learning for Weather and Climate Modeling
Reference 50
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e10df5b8-2882-4515-b00e-6421f9cc03a2 · inbound
FinCast: A Foundation Model for Financial Time-Series Forecasting ClimateLearn: Benchmarking Machine Learning for Weather and Climate Modeling
Reference 2023
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fdc27ead-5ce7-4060-8857-1e2de0ecfbd5 · inbound
PhysMetrics.Weather: An Evaluation Framework for Physical Consistency in ML Weather Models ClimateLearn: Benchmarking Machine Learning for Weather and Climate Modeling
Reference 25
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.