Paper Citation Record · LEDGER

Robust Conformal Outlier Detection under Contaminated Reference Data

As of 21 August 2026, this Paper Citation Record lists 13 of 13 outbound references and 3 inbound Pith citation observations for arXiv:2502.04807.

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

pith.paper-citation-record.v1
2502.04807 v2

Coverage vector

measured 13 of 13 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-08T21:32:12.553613Z

measured 16 of 16 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T04:21:49.239127Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T15:42:54.883076Z

Reference resolution

13 of 13 outbound references displayed

verified exact1
verified fuzzy7
unresolved5
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e434371d-6e70-42e2-b2cb-87c99cab369d · outbound

This paper cites https://www.kaggle.

Robust Conformal Outlier Detection under Contaminated Reference Data https://www.kaggle

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T21:32:12.770341Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation ea3b7339-afe9-49ed-82e9-58a93e32c2e9 · outbound

This paper cites an unresolved cited work.

Robust Conformal Outlier Detection under Contaminated Reference Data Unresolved cited work

Reference 10

Resolution: unresolved; raw_fallback, observed 2026-08-08T21:32:12.698473Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation f49e2ada-c888-4f14-9375-ce7dde1321f8 · outbound

This paper cites Using the fact that ˜iLT ≤ ˆiLT almost surely, we prove in Appendix A.3.2 that, almost surely, ˜QLT,n+1 1−α ≤ ˆQLT,n+1 1−α.

Robust Conformal Outlier Detection under Contaminated Reference Data Using the fact that ˜iLT ≤ ˆiLT almost surely, we prove in Appendix A.3.2 that, almost surely, ˜QLT,n+1 1−α ≤ ˆQLT,n+1 1−α

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T21:32:12.684449Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 98fb0f15-d76b-4543-acbb-edd2aca2a5f8 · outbound

This paper cites The model applies a percentile-based threshold (set to 90%) to truncate activations, where the threshold is computed on the contaminated train set.

Robust Conformal Outlier Detection under Contaminated Reference Data The model applies a percentile-based threshold (set to 90%) to truncate activations, where the threshold is computed on the contaminated train set

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T21:32:12.669512Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 4933c84b-8bec-4b01-871d-8f1e257bffe8 · outbound

This paper cites credit-card.

Robust Conformal Outlier Detection under Contaminated Reference Data credit-card

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T21:32:12.655631Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation b0c95df6-7ee5-474a-afd7-6bd1b5dd8f96 · outbound

This paper cites M., Kriegel, H.-P., Ng, R.

Robust Conformal Outlier Detection under Contaminated Reference Data M., Kriegel, H.-P., Ng, R

Reference 1995

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T21:32:12.756965Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 6ae7a60d-6975-4411-9eb4-5df7faa82058 · outbound

This paper cites an unresolved cited work.

Robust Conformal Outlier Detection under Contaminated Reference Data Unresolved cited work

Reference 2012

Resolution: unresolved; raw_fallback, observed 2026-08-08T21:32:12.712777Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 554c6001-8ce8-4fd8-a8e4-8d82856dd09b · outbound

This paper cites T., Ting, K.

Robust Conformal Outlier Detection under Contaminated Reference Data T., Ting, K

Reference 2013

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T21:32:12.728383Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 98e1e44f-9ed4-42ca-8a01-f2ad58f47ba9 · outbound

This paper cites Pytorch cifar models.https://github.com/ chenyaofo/pytorch-cifar-models.

Robust Conformal Outlier Detection under Contaminated Reference Data Pytorch cifar models.https://github.com/ chenyaofo/pytorch-cifar-models

Reference 2019

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T21:32:12.743123Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation cc00fe33-f7b4-49d8-a518-e8dde5576091 · outbound

This paper cites Conformal Prediction of Classifiers with Many Classes based on Noisy Labels.

Robust Conformal Outlier Detection under Contaminated Reference Data Conformal Prediction of Classifiers with Many Classes based on Noisy Labels

Reference 2021

Resolution: verified exact; local_arxiv, observed 2026-08-08T21:32:12.626195Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 678478e8-78a9-45e3-a012-939b646d276b · outbound

This paper cites Predictive Uncertainty Quantification with Missing Covariates.

Robust Conformal Outlier Detection under Contaminated Reference Data Predictive Uncertainty Quantification with Missing Covariates

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-08T21:32:12.532936Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8bbd0cdb-b911-4f90-903b-e5ac97786de7 · outbound

This paper cites PAC Prediction Sets Under Label Shift.

Robust Conformal Outlier Detection under Contaminated Reference Data PAC Prediction Sets Under Label Shift

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-08T21:32:12.527648Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e865fdf3-6c27-47bf-afb2-e4f9555515af · outbound

This paper cites Deep Learning for Anomaly Detection: A Survey.

Robust Conformal Outlier Detection under Contaminated Reference Data Deep Learning for Anomaly Detection: A Survey

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-08T21:32:12.503992Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 7f52fa7b-8776-401d-bcbb-347d0c6d382e · inbound

Online Conformal Anomaly Detection with Prediction-Powered Data Acquisition cites this paper.

Online Conformal Anomaly Detection with Prediction-Powered Data Acquisition Robust Conformal Outlier Detection under Contaminated Reference Data

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-16T04:21:49.239127Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b87beb9f-ee29-4bc8-af09-e226354385a9 · inbound

ACS: An interactive framework for conformal selection cites this paper.

ACS: An interactive framework for conformal selection Robust Conformal Outlier Detection under Contaminated Reference Data

Reference 7

Resolution: verified exact; local_arxiv, observed 2026-08-06T15:42:54.928726Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 1fb55746-bf16-46f2-a96c-f10c98f4a2b7 · inbound

Self-Poisoning in Adaptive Out-of-Distribution Detection: A Sharp-Threshold Theory and Certified Label-Free Calibration cites this paper.

Self-Poisoning in Adaptive Out-of-Distribution Detection: A Sharp-Threshold Theory and Certified Label-Free Calibration Robust Conformal Outlier Detection under Contaminated Reference Data

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-01T08:31:08.902971Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.