Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
From Data to Uncertainty Sets: a Machine Learning Approach
As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2503.02173.
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 2026-08-05T00:23:05.203838Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-03T21:49:00.075164Z
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 0a27417b-52ee-420d-bcc2-8ff2d07619b9 · inbound
Contextual Robust Optimization for AI Data Center Scheduling with Statistical Guarantees cites this paper.
Contextual Robust Optimization for AI Data Center Scheduling with Statistical Guarantees From Data to Uncertainty Sets: a Machine Learning Approach
Reference 17
- Resolution
- verified exact
- arxiv_id, observed 2026-07-03T21:49:00.076624Z
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 d7e4fda5-4d2b-4568-8162-b00c8452fbc2 · inbound
A Consistency-Robustness Framework for Robust Optimization: Integrating Predictions into Robust Scheduling cites this paper.
A Consistency-Robustness Framework for Robust Optimization: Integrating Predictions into Robust Scheduling From Data to Uncertainty Sets: a Machine Learning Approach
Reference 33
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T00:23:05.203838Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.