Paper Citation Record · LEDGER

Can You Trust Your Model's Uncertainty? Evaluating Predictive Uncertainty Under Dataset Shift

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 18 inbound Pith citation observations for arXiv:1906.02530.

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

pith.paper-citation-record.v1
1906.02530 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 18 of 18 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 18 of 18 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:14:56.603065Z

measured 1 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
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malformed identifier0
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External citation measurements

654
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation d2ee7d08-31b4-423a-b3f1-8e1998f5d1c0 · inbound

Open Set Recognition Through Deep Neural Network Uncertainty: Does Out-of-Distribution Detection Require Generative Classifiers? cites this paper.

Open Set Recognition Through Deep Neural Network Uncertainty: Does Out-of-Distribution Detection Require Generative Classifiers? Can You Trust Your Model's Uncertainty? Evaluating Predictive Uncertainty Under Dataset Shift

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-14T11:11:11.497576Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c06d53d8-131d-410b-926d-d1848d31926c · inbound

Language Models (Mostly) Know What They Know cites this paper.

Language Models (Mostly) Know What They Know Can You Trust Your Model's Uncertainty? Evaluating Predictive Uncertainty Under Dataset Shift

Reference 195

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T15:42:47.537381Z

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 30378148-d471-4cda-8b0f-906075abe3fb · inbound

Last-layer committee machines for uncertainty estimations of benthic imagery cites this paper.

Last-layer committee machines for uncertainty estimations of benthic imagery Can You Trust Your Model's Uncertainty? Evaluating Predictive Uncertainty Under Dataset Shift

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-16T11:14:56.603065Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 968d923b-1f1e-4c53-9e7a-561ed1bbf84b · inbound

Evaluating Uncertainty in Deep Gaussian Processes cites this paper.

Evaluating Uncertainty in Deep Gaussian Processes Can You Trust Your Model's Uncertainty? Evaluating Predictive Uncertainty Under Dataset Shift

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-16T10:37:04.312441Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9090d8a8-6727-469a-a072-edbe2257f6d3 · inbound

Contrastive Normalizing Flows for Uncertainty-Aware Parameter Estimation cites this paper.

Contrastive Normalizing Flows for Uncertainty-Aware Parameter Estimation Can You Trust Your Model's Uncertainty? Evaluating Predictive Uncertainty Under Dataset Shift

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-15T21:52:56.466237Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 26dccf14-7689-49e4-8c33-4c325d735331 · inbound

Revisiting Bayesian Model Averaging in the Era of Foundation Models cites this paper.

Revisiting Bayesian Model Averaging in the Era of Foundation Models Can You Trust Your Model's Uncertainty? Evaluating Predictive Uncertainty Under Dataset Shift

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-07T13:25:03.408251Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a7af000c-fd6a-45a6-8d01-ef59fd58388e · inbound

BD at BEA 2025 Shared Task: MPNet Ensembles for Pedagogical Mistake Identification and Localization in AI Tutor Responses cites this paper.

BD at BEA 2025 Shared Task: MPNet Ensembles for Pedagogical Mistake Identification and Localization in AI Tutor Responses Can You Trust Your Model's Uncertainty? Evaluating Predictive Uncertainty Under Dataset Shift

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-07T11:35:48.635519Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fe690e5e-af6c-477c-a7d7-022ffe94f14b · inbound

PaTAS: A Framework for Trust Propagation in Neural Networks Using Subjective Logic cites this paper.

PaTAS: A Framework for Trust Propagation in Neural Networks Using Subjective Logic Can You Trust Your Model's Uncertainty? Evaluating Predictive Uncertainty Under Dataset Shift

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-03T20:19:44.387122Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 175aeb27-6708-4a04-b992-0b88f9396709 · inbound

Variance-Gated Ensembles: An Epistemic-Aware Framework for Uncertainty Estimation cites this paper.

Variance-Gated Ensembles: An Epistemic-Aware Framework for Uncertainty Estimation Can You Trust Your Model's Uncertainty? Evaluating Predictive Uncertainty Under Dataset Shift

Reference 2019

Resolution: unresolved; no resolver link, observed 2026-08-03T03:26:55.714514Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 819a2046-b593-4841-94e1-a40c1cd87898 · inbound

Ensemble-Based Dirichlet Modeling for Predictive Uncertainty and Selective Classification cites this paper.

Ensemble-Based Dirichlet Modeling for Predictive Uncertainty and Selective Classification Can You Trust Your Model's Uncertainty? Evaluating Predictive Uncertainty Under Dataset Shift

Reference 19

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T00:15:52.177728Z

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 752b91c7-008d-456e-9bec-37e18e59a8c6 · inbound

Prior-Aligned Data Cleaning for Tabular Foundation Models cites this paper.

Prior-Aligned Data Cleaning for Tabular Foundation Models Can You Trust Your Model's Uncertainty? Evaluating Predictive Uncertainty Under Dataset Shift

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-05-11T23:31:16.959775Z

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 94c4bd7a-97cb-4d6c-a48a-c288f87d8f86 · inbound

Operator learning for the 2D incompressible Navier-Stokes equations: a conformal prediction approach in the data-scarce regime cites this paper.

Operator learning for the 2D incompressible Navier-Stokes equations: a conformal prediction approach in the data-scarce regime Can You Trust Your Model's Uncertainty? Evaluating Predictive Uncertainty Under Dataset Shift

Reference 32

Resolution: verified exact; arxiv_id, observed 2026-07-02T22:47:25.758717Z

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 67117028-5131-401b-baa4-992f0cee2f64 · inbound

Toward Calibrated, Fair, and accurate Deepfake Detection cites this paper.

Toward Calibrated, Fair, and accurate Deepfake Detection Can You Trust Your Model's Uncertainty? Evaluating Predictive Uncertainty Under Dataset Shift

Reference 184

Resolution: metadata mismatch; arxiv_id, observed 2026-06-28T07:11:45.332149Z

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 430dac04-9c4a-43bc-bf1b-06c5b4316666 · inbound

Collaborative Large and Small Language Models for Accurate and Scalable Data Repair cites this paper.

Collaborative Large and Small Language Models for Accurate and Scalable Data Repair Can You Trust Your Model's Uncertainty? Evaluating Predictive Uncertainty Under Dataset Shift

Reference 31

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T23:19:04.259597Z

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 67314425-a0cc-4175-afd1-c92fef317dc8 · inbound

Consistent but Miscalibrated: Evaluating LLM Limitations for Risk Communication in Natural Language cites this paper.

Consistent but Miscalibrated: Evaluating LLM Limitations for Risk Communication in Natural Language Can You Trust Your Model's Uncertainty? Evaluating Predictive Uncertainty Under Dataset Shift

Reference 47

Resolution: unresolved; no resolver link, observed 2026-07-11T23:16:58.545731Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2f994fcc-6dd6-472b-a3cd-67fd93245a14 · inbound

Consistent but Miscalibrated: Evaluating LLM Limitations for Risk Communication in Natural Language cites this paper.

Consistent but Miscalibrated: Evaluating LLM Limitations for Risk Communication in Natural Language Can You Trust Your Model's Uncertainty? Evaluating Predictive Uncertainty Under Dataset Shift

Reference 47

Resolution: unresolved; no resolver link, observed 2026-07-13T07:02:13.140334Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 37e7be3d-96d2-4858-8be1-871f1e0b5a5b · 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 Can You Trust Your Model's Uncertainty? Evaluating Predictive Uncertainty Under Dataset Shift

Reference 6

Resolution: unresolved; no resolver link, observed 2026-07-14T04:52:20.985671Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 59b928a4-bdb2-4ca1-ae40-ab33406053ce · inbound

Validity, Reliability, and Transparency in Artificial Intelligence Regulation cites this paper.

Validity, Reliability, and Transparency in Artificial Intelligence Regulation Can You Trust Your Model's Uncertainty? Evaluating Predictive Uncertainty Under Dataset Shift

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-07T23:19:21.049525Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.