Paper Citation Record · LEDGER

Uncertainty quantification for trustworthy deep learning: Methods and measures

As of 10 August 2026, this Paper Citation Record lists 24 of 24 outbound references and 0 inbound Pith citation observations for arXiv:2607.28248.

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

pith.paper-citation-record.v1
2607.28248 v1

Coverage vector

measured 24 of 24 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-31T13:23:56.806879Z

measured 24 of 24 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

24 of 24 outbound references displayed

verified exact3
verified fuzzy0
unresolved20
parse uncertain0
malformed identifier1
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 51c8a8c2-4f17-4ad8-acc2-50bdcfe42f71 · outbound

This paper cites Workshop: Bayesian deep learning.

Uncertainty quantification for trustworthy deep learning: Methods and measures Workshop: Bayesian deep learning

Reference 7

Resolution: unresolved; no resolver link, observed 2026-07-31T13:23:56.799089Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5518eb2c-4db4-4e49-9943-dd5dbd8af403 · outbound

This paper cites Monod, M., Micheli, A., Bhatt, S., 2025.

Uncertainty quantification for trustworthy deep learning: Methods and measures Monod, M., Micheli, A., Bhatt, S., 2025

Reference 11

Resolution: unresolved; no resolver link, observed 2026-07-31T13:23:56.774140Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e2f116e5-0351-4f41-9066-aa293f3ebc15 · outbound

This paper cites Workshop: Bayesian Deep Learning.

Uncertainty quantification for trustworthy deep learning: Methods and measures Workshop: Bayesian Deep Learning

Reference 12

Resolution: unresolved; no resolver link, observed 2026-07-31T13:23:56.776791Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d1d8c4b4-6ad6-4617-9218-c6c372d8a319 · outbound

This paper cites A Primer on Bayesian Neural Networks: Review and Debates.

Uncertainty quantification for trustworthy deep learning: Methods and measures A Primer on Bayesian Neural Networks: Review and Debates

Reference 16

Resolution: unresolved; no resolver link, observed 2026-07-31T13:23:56.740296Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f40e606f-28f2-4137-89db-8bcf87223490 · outbound

This paper cites Understanding Measures of Uncertainty for Adversarial Example Detection.

Uncertainty quantification for trustworthy deep learning: Methods and measures Understanding Measures of Uncertainty for Adversarial Example Detection

Reference 18

Resolution: unresolved; no resolver link, observed 2026-07-31T13:23:56.790336Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dbb93629-9869-4275-93ca-8f2ae9ceacd8 · outbound

This paper cites an unresolved cited work.

Uncertainty quantification for trustworthy deep learning: Methods and measures Unresolved cited work

Reference 19

Resolution: unresolved; no resolver link, observed 2026-07-31T13:23:56.793451Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 88aae544-536c-47ca-bf27-a21ca5b45077 · outbound

This paper cites an unresolved cited work.

Uncertainty quantification for trustworthy deep learning: Methods and measures Unresolved cited work

Reference 22

Resolution: unresolved; no resolver link, observed 2026-07-31T13:23:56.801724Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e9cbeaa6-933c-48c3-b38b-7c49fe8564c6 · outbound

This paper cites Rahaman, R., Thiery, A.H., 2021.

Uncertainty quantification for trustworthy deep learning: Methods and measures Rahaman, R., Thiery, A.H., 2021

Reference 40

Resolution: unresolved; no resolver link, observed 2026-07-31T13:23:56.779495Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c3975b69-d78b-415a-aae2-efc9debe07f1 · outbound

This paper cites Xie, J., Ma, Z., Lei, J., Zhang, G., Xue, J.H., Tan, Z.H., Guo, J., 2022.

Uncertainty quantification for trustworthy deep learning: Methods and measures Xie, J., Ma, Z., Lei, J., Zhang, G., Xue, J.H., Tan, Z.H., Guo, J., 2022

Reference 49

Resolution: unresolved; no resolver link, observed 2026-07-31T13:23:56.806879Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e489c584-a271-4170-a1ed-8d7bc63859b1 · outbound

This paper cites Chau, S.L., Caprio, M., Muandet, K., 2025.

Uncertainty quantification for trustworthy deep learning: Methods and measures Chau, S.L., Caprio, M., Muandet, K., 2025

Reference 1367

Resolution: malformed identifier; no resolver link, observed 2026-07-31T13:23:56.756665Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e0853e27-fc89-41b1-9bd7-e05845ef3abb · outbound

This paper cites Boluki, S., Ardywibowo, R., Dadaneh, S.Z., Zhou, M., Qian, X., 2020.

Uncertainty quantification for trustworthy deep learning: Methods and measures Boluki, S., Ardywibowo, R., Dadaneh, S.Z., Zhou, M., Qian, X., 2020

Reference 1622

Resolution: unresolved; no resolver link, observed 2026-07-31T13:23:56.747511Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0f457107-9d67-4f3b-b4a7-bf21834bc871 · outbound

This paper cites Deep Ensembles: A Loss Landscape Perspective.

Uncertainty quantification for trustworthy deep learning: Methods and measures Deep Ensembles: A Loss Landscape Perspective

Reference 1914

Resolution: unresolved; no resolver link, observed 2026-07-31T13:23:56.762521Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c96124d6-f097-4b54-acca-838b82dd7aff · outbound

This paper cites an unresolved cited work.

Uncertainty quantification for trustworthy deep learning: Methods and measures Unresolved cited work

Reference 2005

Resolution: verified exact; doi, observed 2026-07-31T13:25:51.781115Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 4b8fdd33-77fb-4193-9e8f-f5f42e9be4b2 · outbound

This paper cites an unresolved cited work.

Uncertainty quantification for trustworthy deep learning: Methods and measures Unresolved cited work

Reference 2015

Resolution: unresolved; no resolver link, observed 2026-07-31T13:23:56.744516Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0334abdd-c1d2-4377-a131-536e7ca40e7b · outbound

This paper cites On Last-Layer Algorithms for Classification: Decoupling Representation from Uncertainty Estimation.

Uncertainty quantification for trustworthy deep learning: Methods and measures On Last-Layer Algorithms for Classification: Decoupling Representation from Uncertainty Estimation

Reference 2020

Resolution: verified exact; local_arxiv, observed 2026-07-31T13:25:51.915791Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 810e37bf-c0aa-4e09-a64b-6f410b921772 · outbound

This paper cites an unresolved cited work.

Uncertainty quantification for trustworthy deep learning: Methods and measures Unresolved cited work

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-07-31T13:23:56.784698Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 03065e06-c3f1-463d-8d88-5f0a0555c4f0 · outbound

This paper cites Learning Confidence for Out-of-Distribution Detection in Neural Networks.

Uncertainty quantification for trustworthy deep learning: Methods and measures Learning Confidence for Out-of-Distribution Detection in Neural Networks

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-07-31T13:23:56.759388Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4657bfbd-1bc0-4558-95d1-20faea7349ed · outbound

This paper cites Liang, J., Hou, R., Hu, M., Chang, H., Shan, S., Chen, X., 2025.

Uncertainty quantification for trustworthy deep learning: Methods and measures Liang, J., Hou, R., Hu, M., Chang, H., Shan, S., Chen, X., 2025

Reference 2061

Resolution: unresolved; no resolver link, observed 2026-07-31T13:23:56.765741Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4893fe3a-9e39-4701-a97e-3315299c0299 · outbound

This paper cites Wood, D., Mu, T., Webb, A.M., Reeve, H.W.J., Luján, M., Brown, G., 2023.

Uncertainty quantification for trustworthy deep learning: Methods and measures Wood, D., Mu, T., Webb, A.M., Reeve, H.W.J., Luján, M., Brown, G., 2023

Reference 2292

Resolution: unresolved; no resolver link, observed 2026-07-31T13:23:56.804263Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cb9f46c9-00e6-462c-8151-864109ea5064 · outbound

This paper cites Valdenegro-Toro, M., 2019.

Uncertainty quantification for trustworthy deep learning: Methods and measures Valdenegro-Toro, M., 2019

Reference 3467

Resolution: unresolved; no resolver link, observed 2026-07-31T13:23:56.796486Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5809c805-b06c-43e3-8b52-14298dd63a18 · outbound

This paper cites Workshop: Mathematics of modern machine learning.

Uncertainty quantification for trustworthy deep learning: Methods and measures Workshop: Mathematics of modern machine learning

Reference 3640

Resolution: unresolved; no resolver link, observed 2026-07-31T13:23:56.782038Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 74cded30-f643-4472-a68d-2abb6dd58aad · outbound

This paper cites 19 Brier, G.W., 1950.

Uncertainty quantification for trustworthy deep learning: Methods and measures 19 Brier, G.W., 1950

Reference 3916

Resolution: unresolved; no resolver link, observed 2026-07-31T13:23:56.750527Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e49f8a37-19f5-4f00-810e-528fdb81d721 · outbound

This paper cites Malinin, A., Gales, M., 2019.

Uncertainty quantification for trustworthy deep learning: Methods and measures Malinin, A., Gales, M., 2019

Reference 7058

Resolution: unresolved; no resolver link, observed 2026-07-31T13:23:56.768451Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8ec9bb88-3bfd-44eb-913f-95fb305622ac · outbound

This paper cites Shorinwa, O., Mei, Z., Lidard, J., Ren, A.Z., Majumdar, A.,.

Uncertainty quantification for trustworthy deep learning: Methods and measures Shorinwa, O., Mei, Z., Lidard, J., Ren, A.Z., Majumdar, A.,

Reference 9781

Resolution: verified exact; doi, observed 2026-07-31T13:25:51.693626Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Pith citing papers

No inbound Pith citation observations are available.