Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Beyond temperature scaling: Obtaining well-calibrated multiclass probabilities with Dirichlet calibration
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:1910.12656.
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 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-04T08:46:33.280193Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-01T09:55:40.128878Z
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 d6b016b5-ee1a-4d0a-b6d9-c29d5c6a67b8 · inbound
Clustered Calibration: Representation-Aware Probability Calibration via Learned Subpopulations cites this paper.
Clustered Calibration: Representation-Aware Probability Calibration via Learned Subpopulations Beyond temperature scaling: Obtaining well-calibrated multiclass probabilities with Dirichlet calibration
Reference 8
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T08:46:33.280193Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation bdf74e70-b0ec-4790-8cca-58c3d8bdc7ea · inbound
ActiveGrasp: Information-Guided Active Grasping with Calibrated Energy-based Model cites this paper.
ActiveGrasp: Information-Guided Active Grasping with Calibrated Energy-based Model Beyond temperature scaling: Obtaining well-calibrated multiclass probabilities with Dirichlet calibration
Reference 39
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T22:03:28.503902Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 007e8527-f1b6-4bfe-b0c9-cae4dc8f128a · inbound
Enhancing Deep Neural Network Reliability with Refinement and Calibration cites this paper.
Enhancing Deep Neural Network Reliability with Refinement and Calibration Beyond temperature scaling: Obtaining well-calibrated multiclass probabilities with Dirichlet calibration
Reference 7
- Resolution
- verified exact
- arxiv_id, observed 2026-05-25T04:56:38.670219Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation f0e3f164-d840-400f-82e8-c00770ff714d · inbound
Expected Gain-based Escalation in Vertical Federated Learning cites this paper.
Expected Gain-based Escalation in Vertical Federated Learning Beyond temperature scaling: Obtaining well-calibrated multiclass probabilities with Dirichlet calibration
Reference 18
- Resolution
- verified exact
- arxiv_id, observed 2026-07-01T09:55:40.130680Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation e0ad3641-c2ee-4684-bcfb-89fd7d9f3b1d · inbound
Condition-Stratified Robustness Analysis of Post-Hoc Calibration Methods for Probabilistic Classifiers cites this paper.
Condition-Stratified Robustness Analysis of Post-Hoc Calibration Methods for Probabilistic Classifiers Beyond temperature scaling: Obtaining well-calibrated multiclass probabilities with Dirichlet calibration
Reference 14
- Resolution
- unresolved
- no resolver link, observed 2026-07-14T04:52:20.985671Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.