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Paper Citation Record · LEDGER

Robust Conformalized Selection with Noisy Responses

As of 9 August 2026, this Paper Citation Record lists 15 of 15 outbound references and 0 inbound Pith citation observations for arXiv:2607.22985.

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

pith.paper-citation-record.v1
2607.22985 v1

Coverage vector

measured 15 of 15 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T04:03:51.555264Z

measured 15 of 15 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

15 of 15 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 2a3ba36c-742d-4b16-bb09-1ba6aa7a90d5 · outbound

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

Robust Conformalized Selection with Noisy Responses ACS: An interactive framework for conformal selection

Reference 5

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source=pdf_text observed=2026-08-01T04:03:50.821590Z digest=sha256:8728c784410f8620f64cbb9d9b09d6a1325fcd00c1e372ce4ae406d5621c71ce

Observation 08124a11-beca-43bc-95b3-c9438b2486fb · outbound

This paper cites Feedback-Enhanced Online Multiple Testing with Applications to Conformal Selection.

Robust Conformalized Selection with Noisy Responses Feedback-Enhanced Online Multiple Testing with Applications to Conformal Selection

Reference 8

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source=pdf_text observed=2026-08-01T04:03:50.945773Z digest=sha256:c8552686e2131d7facb13bfcf04c55d12a690128a9f27553494c240e8027f731

Observation 86bf9467-873f-40da-8825-b0ad7ab7d850 · outbound

This paper cites Yash Nair, Ying Jin, James Yang, and Emmanuel J Cand` es.

Robust Conformalized Selection with Noisy Responses Yash Nair, Ying Jin, James Yang, and Emmanuel J Cand` es

Reference 9

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source=pdf_text observed=2026-08-01T04:03:51.017923Z digest=sha256:fa604f2ec07b382b0d53ccd415883dd4faeb03e729fc139e8e714c6d8d8915f3

Observation bcdf5938-44b9-46cc-a90d-151c7c549ae8 · outbound

This paper cites Published online.

Robust Conformalized Selection with Noisy Responses Published online

Reference 11

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source=pdf_text observed=2026-08-01T04:03:51.148179Z digest=sha256:e1d7a7b6729614422142de18431e38f17eb60c92b852dda5591b775804a33768

Observation 20423a06-3b10-43ff-9e71-f155e7529043 · outbound

This paper cites Cheap and fast–but is it good? Evaluating non-expert annotations for natural language tasks.

Robust Conformalized Selection with Noisy Responses Cheap and fast–but is it good? Evaluating non-expert annotations for natural language tasks

Reference 12

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source=pdf_text observed=2026-08-01T04:03:51.300037Z digest=sha256:0709d5b09d93257ee14e86a3d53611a151dc88db44aa4456069b74844eb9b1d9

Observation c6cbebea-8c21-413b-95da-bde621d801e4 · outbound

This paper cites Probably approximately correct labels.arXiv preprint arXiv:2506.10908,.

Robust Conformalized Selection with Noisy Responses Probably approximately correct labels.arXiv preprint arXiv:2506.10908,

Reference 1995

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source=pdf_text observed=2026-08-01T04:03:50.752182Z digest=sha256:b47a81216012c444e11b299d572bad2c4c2525f58b23d7151d3c1b4d7dbbc5d5

Observation 3a52b9d9-6cc3-492d-93c2-f665c138c595 · outbound

This paper cites Training Convolutional Networks with Noisy Labels.

Robust Conformalized Selection with Noisy Responses Training Convolutional Networks with Noisy Labels

Reference 2008

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source=pdf_text observed=2026-08-01T04:03:51.362269Z digest=sha256:3a48c80254e98f35ea3b5f912381df0531de95816907da43c2dc105d42dde5fa

Observation 8fb4a319-a8b4-471b-b3d1-793cd79eb4e2 · outbound

This paper cites Selection from Hierarchical Data with Conformal e-values.

Robust Conformalized Selection with Noisy Responses Selection from Hierarchical Data with Conformal e-values

Reference 2012

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source=pdf_text observed=2026-08-01T04:03:50.881390Z digest=sha256:9632d717da08c98d009cdfadee88f9dd196d31d94e843f4d34c683832ab1187f

Observation 01fc8ed1-20fb-47db-bdf9-121715f52396 · outbound

This paper cites A Conformal Prediction Score that is Robust to Label Noise.

Robust Conformalized Selection with Noisy Responses A Conformal Prediction Score that is Robust to Label Noise

Reference 2013

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source=pdf_text observed=2026-08-01T04:03:51.088099Z digest=sha256:92e8788cc024369f97f8f1ecb81d2a7266e86b2b6a475b66a9a48a550359e1fa

Observation 4df8cef4-ff96-4d4b-a43f-5a13e3c7e284 · outbound

This paper cites A unified framework for large-scale inference of classification: Error rate control and optimality.arXiv preprint arXiv:2504.07321,.

Robust Conformalized Selection with Noisy Responses A unified framework for large-scale inference of classification: Error rate control and optimality.arXiv preprint arXiv:2504.07321,

Reference 2014

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Observation 638ee824-a617-4583-a5e1-41c8e460cfb6 · outbound

This paper cites A generalized e- value feature detection method with FDR control at multiple resolutions.arXiv preprint arXiv:2409.17039,.

Robust Conformalized Selection with Noisy Responses A generalized e- value feature detection method with FDR control at multiple resolutions.arXiv preprint arXiv:2409.17039,

Reference 2020

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Observation 99c3bc6b-5c25-4c73-b8ab-023e04e133c2 · outbound

This paper cites Theoretical Foundations of Conformal Prediction.

Robust Conformalized Selection with Noisy Responses Theoretical Foundations of Conformal Prediction

Reference 2023

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source=pdf_text observed=2026-08-01T04:03:50.593169Z digest=sha256:eff994d44023c034aa39d59c43c75a7864522d9064aff98bef5ab667ba30072d

Observation f7166247-2356-4070-9102-f7e09e35c630 · outbound

This paper cites Conformal selective prediction with general risk control.arXiv preprint arXiv:2603.24704,.

Robust Conformalized Selection with Noisy Responses Conformal selective prediction with general risk control.arXiv preprint arXiv:2603.24704,

Reference 2024

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Observation 559af364-0993-4915-9b88-d1b599ab34b5 · outbound

This paper cites Controlling the false discovery rate via knockoffs.The Annals of Statistics, 43(5):2055–2085,.

Robust Conformalized Selection with Noisy Responses Controlling the false discovery rate via knockoffs.The Annals of Statistics, 43(5):2055–2085,

Reference 2025

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Observation fb3e26c2-6d1c-4931-8a2f-bf95bbfc5426 · outbound

This paper cites Davood Karimi, Haoran Dou, Simon K Warfield, and Ali Gholipour.

Robust Conformalized Selection with Noisy Responses Davood Karimi, Haoran Dou, Simon K Warfield, and Ali Gholipour

Reference 2026

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Pith citing papers

No inbound Pith citation observations are available.