Paper Citation Record · LEDGER

Beyond temperature scaling: Obtaining well-calibrated multiclass probabilities with Dirichlet calibration

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:1910.12656.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
1910.12656 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T15:53:42.808981Z

measured 0 of 1 external citation measurements

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
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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 f76b3bee-7138-4b8d-b6cd-b05b3f49851d · inbound

Combining Priors with Experience: Confidence Calibration Based on Binomial Process Modeling cites this paper.

Combining Priors with Experience: Confidence Calibration Based on Binomial Process Modeling Beyond temperature scaling: Obtaining well-calibrated multiclass probabilities with Dirichlet calibration

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-11T15:53:42.808981Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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 2026-08-22T06:32:14.747728+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 2026-08-22T06:32:14.747728+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.