Paper Citation Record · LEDGER

Anticipating the Optimism Gap: Predicting Distribution-Shift Degradation of RF-Impairment Detectors from In-Distribution Statistics

As of 12 August 2026, this Paper Citation Record lists 27 of 27 outbound references and 0 inbound Pith citation observations for arXiv:2606.22054.

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

pith.paper-citation-record.v1
2606.22054 v2

Coverage vector

measured 27 of 27 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-26T11:34:53.405582Z

measured 27 of 27 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+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

27 of 27 outbound references displayed

verified exact5
verified fuzzy0
unresolved22
parse uncertain0
malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 10315cd2-b02a-4bfb-8c7b-f408840f01a8 · outbound

This paper cites Accuracy on the line: on the strong correlation between out-of-distribution and in-distribution generalization,.

Anticipating the Optimism Gap: Predicting Distribution-Shift Degradation of RF-Impairment Detectors from In-Distribution Statistics Accuracy on the line: on the strong correlation between out-of-distribution and in-distribution generalization,

Reference 1

Resolution: unresolved; no resolver link, observed 2026-06-26T11:34:53.405582Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d470950c-58ca-480f-8744-6ed1d6bc2fbf · outbound

This paper cites Agreement-on-the- line: predicting the performance of neural networks under distribution shift,.

Anticipating the Optimism Gap: Predicting Distribution-Shift Degradation of RF-Impairment Detectors from In-Distribution Statistics Agreement-on-the- line: predicting the performance of neural networks under distribution shift,

Reference 2

Resolution: unresolved; no resolver link, observed 2026-06-26T11:34:53.405582Z

Source-reported events for the cited work

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Observation 3a0ac248-503c-48af-9a36-39a68ab71595 · outbound

This paper cites Assessing generalization of SGD via disagreement,.

Anticipating the Optimism Gap: Predicting Distribution-Shift Degradation of RF-Impairment Detectors from In-Distribution Statistics Assessing generalization of SGD via disagreement,

Reference 3

Resolution: unresolved; no resolver link, observed 2026-06-26T11:34:53.405582Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 62963a91-43fb-4e76-a5d3-ba8674f5a42f · outbound

This paper cites Leveraging unlabeled data to predict out-of-distribution performance,.

Anticipating the Optimism Gap: Predicting Distribution-Shift Degradation of RF-Impairment Detectors from In-Distribution Statistics Leveraging unlabeled data to predict out-of-distribution performance,

Reference 4

Resolution: unresolved; no resolver link, observed 2026-06-26T11:34:53.405582Z

Source-reported events for the cited work

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Observation 96413d9e-107f-47f0-9298-ef3e521e35f1 · outbound

This paper cites Are labels always necessary for classifier accuracy evaluation?.

Anticipating the Optimism Gap: Predicting Distribution-Shift Degradation of RF-Impairment Detectors from In-Distribution Statistics Are labels always necessary for classifier accuracy evaluation?

Reference 5

Resolution: unresolved; no resolver link, observed 2026-06-26T11:34:53.405582Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b76caeb7-b1bd-49eb-96d9-a19ea5278d83 · outbound

This paper cites Predicting with confidence on unseen distributions,.

Anticipating the Optimism Gap: Predicting Distribution-Shift Degradation of RF-Impairment Detectors from In-Distribution Statistics Predicting with confidence on unseen distributions,

Reference 6

Resolution: unresolved; no resolver link, observed 2026-06-26T11:34:53.405582Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2dab9b1a-3a0c-4566-be7e-c7cf4b466dea · outbound

This paper cites Can you trust your model’s uncertainty? Evaluating predictive uncertainty under dataset shift,.

Anticipating the Optimism Gap: Predicting Distribution-Shift Degradation of RF-Impairment Detectors from In-Distribution Statistics Can you trust your model’s uncertainty? Evaluating predictive uncertainty under dataset shift,

Reference 7

Resolution: unresolved; no resolver link, observed 2026-06-26T11:34:53.405582Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6f028f1b-cbc1-41e4-9525-f1305b1fa7ae · outbound

This paper cites Do ImageNet classifiers generalize to ImageNet?.

Anticipating the Optimism Gap: Predicting Distribution-Shift Degradation of RF-Impairment Detectors from In-Distribution Statistics Do ImageNet classifiers generalize to ImageNet?

Reference 8

Resolution: unresolved; no resolver link, observed 2026-06-26T11:34:53.405582Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 30d867ec-756b-4d45-80ca-1fd93c55cd8d · outbound

This paper cites Measuring robustness to natural distribution shifts in image classification,.

Anticipating the Optimism Gap: Predicting Distribution-Shift Degradation of RF-Impairment Detectors from In-Distribution Statistics Measuring robustness to natural distribution shifts in image classification,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-06-26T11:34:53.405582Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 37f320ef-90d0-4e85-b88c-ba3381ab599b · outbound

This paper cites WILDS: a benchmark of in-the-wild distribution shifts,.

Anticipating the Optimism Gap: Predicting Distribution-Shift Degradation of RF-Impairment Detectors from In-Distribution Statistics WILDS: a benchmark of in-the-wild distribution shifts,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-06-26T11:34:53.405582Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a5c5cebb-50dc-4108-84b0-f6450cd8295d · outbound

This paper cites Benchmarking neural network robust- ness to common corruptions and perturbations,.

Anticipating the Optimism Gap: Predicting Distribution-Shift Degradation of RF-Impairment Detectors from In-Distribution Statistics Benchmarking neural network robust- ness to common corruptions and perturbations,

Reference 11

Resolution: unresolved; no resolver link, observed 2026-06-26T11:34:53.405582Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1b4fd2a3-1705-45d5-bf6f-f1af9edf7f51 · outbound

This paper cites Evaluation of (Un-)Supervised Machine Learning Methods for GNSS Interference Classification with Real-World Data Discrepancies.

Anticipating the Optimism Gap: Predicting Distribution-Shift Degradation of RF-Impairment Detectors from In-Distribution Statistics Evaluation of (Un-)Supervised Machine Learning Methods for GNSS Interference Classification with Real-World Data Discrepancies

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-07-04T08:29:42.083434Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 81e1d420-95c7-4d1b-9a0b-fac9a58a1136 · outbound

This paper cites Recent advances on jamming and spoofing detection in GNSS,.

Anticipating the Optimism Gap: Predicting Distribution-Shift Degradation of RF-Impairment Detectors from In-Distribution Statistics Recent advances on jamming and spoofing detection in GNSS,

Reference 13

Resolution: unresolved; no resolver link, observed 2026-06-26T11:34:53.405582Z

Source-reported events for the cited work

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Observation a5c865aa-cad9-4e74-970f-1fb34370febd · outbound

This paper cites an unresolved cited work.

Anticipating the Optimism Gap: Predicting Distribution-Shift Degradation of RF-Impairment Detectors from In-Distribution Statistics Unresolved cited work

Reference 14

Resolution: unresolved; no resolver link, observed 2026-06-26T11:34:53.405582Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b575273d-a14b-4332-bfdc-56b91a0ef2f0 · outbound

This paper cites GNSS spoofing and detection,.

Anticipating the Optimism Gap: Predicting Distribution-Shift Degradation of RF-Impairment Detectors from In-Distribution Statistics GNSS spoofing and detection,

Reference 15

Resolution: unresolved; no resolver link, observed 2026-06-26T11:34:53.405582Z

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Observation 8b642727-d542-4444-8ee8-56a7b80c9d16 · outbound

This paper cites Dovis,GNSS Interference Threats and Countermeasures.

Anticipating the Optimism Gap: Predicting Distribution-Shift Degradation of RF-Impairment Detectors from In-Distribution Statistics Dovis,GNSS Interference Threats and Countermeasures

Reference 16

Resolution: unresolved; no resolver link, observed 2026-06-26T11:34:53.405582Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e4f15bbd-cea2-4aa9-808b-2e57f7be2d4a · outbound

This paper cites Who’s afraid of the spoofer? GPS/GNSS spoofing detection via automatic gain control (AGC),.

Anticipating the Optimism Gap: Predicting Distribution-Shift Degradation of RF-Impairment Detectors from In-Distribution Statistics Who’s afraid of the spoofer? GPS/GNSS spoofing detection via automatic gain control (AGC),

Reference 17

Resolution: unresolved; no resolver link, observed 2026-06-26T11:34:53.405582Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e4a54775-6b8d-494f-bf78-62412270a897 · outbound

This paper cites The meaning and use of the area under a receiver operating characteristic (ROC) curve,.

Anticipating the Optimism Gap: Predicting Distribution-Shift Degradation of RF-Impairment Detectors from In-Distribution Statistics The meaning and use of the area under a receiver operating characteristic (ROC) curve,

Reference 18

Resolution: unresolved; no resolver link, observed 2026-06-26T11:34:53.405582Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7c430535-4943-4d62-8a95-1f7dbe9527bb · outbound

This paper cites The use of the area under the ROC curve in the evaluation of machine learning algorithms,.

Anticipating the Optimism Gap: Predicting Distribution-Shift Degradation of RF-Impairment Detectors from In-Distribution Statistics The use of the area under the ROC curve in the evaluation of machine learning algorithms,

Reference 19

Resolution: unresolved; no resolver link, observed 2026-06-26T11:34:53.405582Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7057daf8-30ed-4573-b346-3dc657403de4 · outbound

This paper cites Comparing the areas under two or more correlated ROC curves: a nonparametric approach,.

Anticipating the Optimism Gap: Predicting Distribution-Shift Degradation of RF-Impairment Detectors from In-Distribution Statistics Comparing the areas under two or more correlated ROC curves: a nonparametric approach,

Reference 20

Resolution: unresolved; no resolver link, observed 2026-06-26T11:34:53.405582Z

Source-reported events for the cited work

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Observation 474652b0-c1fb-4dd4-86c7-b6aa3ff0fcea · outbound

This paper cites Fast implementation of DeLong’s algorithm for comparing the areas under correlated ROC curves,.

Anticipating the Optimism Gap: Predicting Distribution-Shift Degradation of RF-Impairment Detectors from In-Distribution Statistics Fast implementation of DeLong’s algorithm for comparing the areas under correlated ROC curves,

Reference 21

Resolution: unresolved; no resolver link, observed 2026-06-26T11:34:53.405582Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fac36e59-9d71-499b-824c-d1a39e7e93f3 · outbound

This paper cites Efron and R.

Anticipating the Optimism Gap: Predicting Distribution-Shift Degradation of RF-Impairment Detectors from In-Distribution Statistics Efron and R

Reference 22

Resolution: unresolved; no resolver link, observed 2026-06-26T11:34:53.405582Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 762c1698-74e9-4b4d-bfbe-86fe7f4d029a · outbound

This paper cites Ridge regression: biased estimation for nonorthogonal problems,.

Anticipating the Optimism Gap: Predicting Distribution-Shift Degradation of RF-Impairment Detectors from In-Distribution Statistics Ridge regression: biased estimation for nonorthogonal problems,

Reference 23

Resolution: unresolved; no resolver link, observed 2026-06-26T11:34:53.405582Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b74f1639-4e95-478e-b6b3-834ebf7c6ec7 · outbound

This paper cites Kshana: an open, reproducible PNT-resilience simulator,.

Anticipating the Optimism Gap: Predicting Distribution-Shift Degradation of RF-Impairment Detectors from In-Distribution Statistics Kshana: an open, reproducible PNT-resilience simulator,

Reference 24

Resolution: verified exact; doi, observed 2026-06-26T11:39:24.633491Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation e58b5c69-6b65-466e-9560-0d8df2e4e325 · outbound

This paper cites GNSS interference and spoofing dataset,.

Anticipating the Optimism Gap: Predicting Distribution-Shift Degradation of RF-Impairment Detectors from In-Distribution Statistics GNSS interference and spoofing dataset,

Reference 25

Resolution: verified exact; arxiv_id, observed 2026-06-26T11:39:24.638182Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 8f8cb4bd-bf36-433b-bd31-257344db5bed · outbound

This paper cites GNSS dataset under jam- ming, spoofing, and meaconing conditions (Jammertest 2024),.

Anticipating the Optimism Gap: Predicting Distribution-Shift Degradation of RF-Impairment Detectors from In-Distribution Statistics GNSS dataset under jam- ming, spoofing, and meaconing conditions (Jammertest 2024),

Reference 26

Resolution: verified exact; doi, observed 2026-06-26T11:39:24.638265Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 756a7f61-a174-480e-b768-fa1f587299fa · outbound

This paper cites SatGrid: realtime genuine and spoofing traces of GPS signals,.

Anticipating the Optimism Gap: Predicting Distribution-Shift Degradation of RF-Impairment Detectors from In-Distribution Statistics SatGrid: realtime genuine and spoofing traces of GPS signals,

Reference 27

Resolution: verified exact; doi, observed 2026-06-26T11:39:24.639918Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Pith citing papers

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