Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Quantifying Aleatoric and Epistemic Dynamics Uncertainty via Local Conformal Calibration
As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2409.08249.
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 2026-08-17T06:30:58.91139+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-06T18:34:48.497158Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-10T06:15:00.866473Z
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 c3f67af1-a6af-4963-aeb2-4f62d71f2bf5 · inbound
CLEAR: Calibrated Learning for Epistemic and Aleatoric Risk cites this paper.
CLEAR: Calibrated Learning for Epistemic and Aleatoric Risk Quantifying Aleatoric and Epistemic Dynamics Uncertainty via Local Conformal Calibration
Reference 10
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T18:34:48.497158Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2814dbb9-5a8d-4ffa-ac08-c337ae0e0d22 · inbound
Foundation Models in Robotics: A Comprehensive Review of Methods, Models, Datasets, Challenges and Future Research Directions cites this paper.
Foundation Models in Robotics: A Comprehensive Review of Methods, Models, Datasets, Challenges and Future Research Directions Quantifying Aleatoric and Epistemic Dynamics Uncertainty via Local Conformal Calibration
Reference 1
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T11:15:09.593559Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation c0606690-08f4-43f1-8dd4-d55fd18fe554 · inbound
Foundation Models in Robotics: A Comprehensive Review of Methods, Models, Datasets, Challenges and Future Research Directions cites this paper.
Foundation Models in Robotics: A Comprehensive Review of Methods, Models, Datasets, Challenges and Future Research Directions Quantifying Aleatoric and Epistemic Dynamics Uncertainty via Local Conformal Calibration
Reference 2024
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T05:29:21.178595Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.