Paper Citation Record · LEDGER

A Framework for Uncertainty Quantification Based on Nearest Neighbors Across Layers

As of 19 August 2026, this Paper Citation Record lists 20 of 20 outbound references and 0 inbound Pith citation observations for arXiv:2506.19895.

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

pith.paper-citation-record.v1
2506.19895 v1

Coverage vector

measured 20 of 20 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T23:10:54.328606Z

measured 20 of 20 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+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

20 of 20 outbound references displayed

verified exact5
verified fuzzy0
unresolved14
parse uncertain0
malformed identifier0
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 916ef479-61a7-4507-89dc-a25bdf2bb622 · outbound

This paper cites Information Fusion76, 243–297 (2021).

A Framework for Uncertainty Quantification Based on Nearest Neighbors Across Layers Information Fusion76, 243–297 (2021)

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-06T23:10:54.229115Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a00ffe02-5db7-4eed-9d91-d1d2c6a031b8 · outbound

This paper cites Heliyon 4(11), e00938 (2018).https://doi.org/10.1016/j.heliyon.2018.e00938.

A Framework for Uncertainty Quantification Based on Nearest Neighbors Across Layers Heliyon 4(11), e00938 (2018).https://doi.org/10.1016/j.heliyon.2018.e00938

Reference 2

Resolution: verified exact; doi, observed 2026-08-06T23:10:54.565894Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 14d5c4a4-5a04-4b66-ae45-7e67adc2f32d · outbound

This paper cites Uncertainty Estimation Using a Single Deep Deterministic Neural Network.

A Framework for Uncertainty Quantification Based on Nearest Neighbors Across Layers Uncertainty Estimation Using a Single Deep Deterministic Neural Network

Reference 3

Resolution: verified exact; local_arxiv, observed 2026-08-06T23:10:54.550060Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation f214675d-e849-4c41-9518-71058b76b2b9 · outbound

This paper cites IEEE Signal Processing Magazine29(6), 141–142 (2012).https://doi.

A Framework for Uncertainty Quantification Based on Nearest Neighbors Across Layers IEEE Signal Processing Magazine29(6), 141–142 (2012).https://doi

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-06T23:10:54.245369Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3fa10f2a-70d0-4dc6-b770-b254b38cf012 · outbound

This paper cites Pattern Recognition35(10), 2279–2301 (2002).https://doi.

A Framework for Uncertainty Quantification Based on Nearest Neighbors Across Layers Pattern Recognition35(10), 2279–2301 (2002).https://doi

Reference 5

Resolution: verified exact; doi, observed 2026-08-06T23:10:54.528432Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation edfc05ca-f11d-44ed-bd80-9292830b51d2 · outbound

This paper cites Pattern Recognition Letters27(8), 861–874 (2006).

A Framework for Uncertainty Quantification Based on Nearest Neighbors Across Layers Pattern Recognition Letters27(8), 861–874 (2006)

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-06T23:10:54.256407Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 359cca78-54bf-4267-a630-b34ee3868bf1 · outbound

This paper cites Artificial Intelligence Review 56(1), 1513–1589 (2023).https://doi.org/10.1007/s10462-023-10562-9.

A Framework for Uncertainty Quantification Based on Nearest Neighbors Across Layers Artificial Intelligence Review 56(1), 1513–1589 (2023).https://doi.org/10.1007/s10462-023-10562-9

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-06T23:10:54.261773Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 325f9592-6130-48ec-92a9-6c5dbea4e5e1 · outbound

This paper cites A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks.

A Framework for Uncertainty Quantification Based on Nearest Neighbors Across Layers A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-06T23:10:54.266760Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1f426f4f-3cc1-46d8-9469-b09d64d7e0d7 · outbound

This paper cites Applied Soft Computing 149, 111027 (2023).https://doi.org/10.1016/j.asoc.2023.111027.

A Framework for Uncertainty Quantification Based on Nearest Neighbors Across Layers Applied Soft Computing 149, 111027 (2023).https://doi.org/10.1016/j.asoc.2023.111027

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-06T23:10:54.272401Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e962baa6-2f4c-4a8b-832b-cd6d36e9eadb · outbound

This paper cites What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision?.

A Framework for Uncertainty Quantification Based on Nearest Neighbors Across Layers What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision?

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-06T23:10:54.277292Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 12bbdfa0-62db-41e9-8b37-a0c92964dbc0 · outbound

This paper cites https://doi.org/10.1016/j.strusafe.2008.06.

A Framework for Uncertainty Quantification Based on Nearest Neighbors Across Layers https://doi.org/10.1016/j.strusafe.2008.06

Reference 11

Resolution: verified exact; doi, observed 2026-08-06T23:10:54.466477Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation cc8eff81-2243-4611-8434-06d16a7102a8 · outbound

This paper cites an unresolved cited work.

A Framework for Uncertainty Quantification Based on Nearest Neighbors Across Layers Unresolved cited work

Reference 12

Resolution: unresolved; raw_fallback, observed 2026-08-06T23:10:54.894172Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation d7410889-4048-4fb9-a0bc-9daf869171c6 · outbound

This paper cites A Simple Unified Framework for Detecting Out-of-Distribution Samples and Adversarial Attacks.

A Framework for Uncertainty Quantification Based on Nearest Neighbors Across Layers A Simple Unified Framework for Detecting Out-of-Distribution Samples and Adversarial Attacks

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-06T23:10:54.292816Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 631931f4-38c2-429d-999d-84f140039c17 · outbound

This paper cites Enhancing The Reliability of Out-of-distribution Image Detection in Neural Networks.

A Framework for Uncertainty Quantification Based on Nearest Neighbors Across Layers Enhancing The Reliability of Out-of-distribution Image Detection in Neural Networks

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-06T23:10:54.297850Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f12b9e6c-a4fe-4ca9-859e-98be316f2122 · outbound

This paper cites Simple and Principled Uncertainty Estimation with Deterministic Deep Learning via Distance Awareness.

A Framework for Uncertainty Quantification Based on Nearest Neighbors Across Layers Simple and Principled Uncertainty Estimation with Deterministic Deep Learning via Distance Awareness

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-06T23:10:54.302495Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 248337dd-3256-46e5-b4f7-f84f06f96edf · outbound

This paper cites In: 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

A Framework for Uncertainty Quantification Based on Nearest Neighbors Across Layers In: 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-06T23:10:54.307969Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2b68fbd4-b265-4769-a83a-53a3e8252459 · outbound

This paper cites an unresolved cited work.

A Framework for Uncertainty Quantification Based on Nearest Neighbors Across Layers Unresolved cited work

Reference 17

Resolution: verified exact; doi, observed 2026-08-06T23:10:54.407219Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 403d6aeb-5382-4fea-ab29-d32ed9266ceb · outbound

This paper cites PloS one10, e0118432 (2015).

A Framework for Uncertainty Quantification Based on Nearest Neighbors Across Layers PloS one10, e0118432 (2015)

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-06T23:10:54.318599Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7ac30172-7b5c-462e-abd6-2889a0e8253e · outbound

This paper cites npj Computational Materials9(1) (2023).

A Framework for Uncertainty Quantification Based on Nearest Neighbors Across Layers npj Computational Materials9(1) (2023)

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-06T23:10:54.323619Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ca6bd971-90df-4bcd-87a6-288d4127cccf · outbound

This paper cites Single Model Uncertainty Estimation via Stochastic Data Centering.

A Framework for Uncertainty Quantification Based on Nearest Neighbors Across Layers Single Model Uncertainty Estimation via Stochastic Data Centering

Reference 20

Resolution: metadata mismatch; local_arxiv, observed 2026-08-06T23:10:54.372517Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Pith citing papers

No inbound Pith citation observations are available.