Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Approaching Test Time Augmentation in the Context of Uncertainty Calibration for Deep Neural Networks
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2304.05104.
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 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T13:07:57.208661Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-04T09:49:43.813377Z
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 1cc59317-d323-466c-85ff-ce4ea6e3edc4 · inbound
Test-time augmentation improves efficiency in conformal prediction cites this paper.
Test-time augmentation improves efficiency in conformal prediction Approaching Test Time Augmentation in the Context of Uncertainty Calibration for Deep Neural Networks
Reference 9
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T13:07:57.208661Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 43ddce51-bea9-400b-b148-5d9cb3898123 · inbound
Homographic Navigation: Geometry-Driven Camera Guidance for Deterministic Planar Capture cites this paper.
Homographic Navigation: Geometry-Driven Camera Guidance for Deterministic Planar Capture Approaching Test Time Augmentation in the Context of Uncertainty Calibration for Deep Neural Networks
Reference 4
- Resolution
- verified exact
- arxiv_id, observed 2026-07-04T09:49:43.815331Z
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.