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Paper Citation Record · LEDGER

On Training-Conditional Conformal Prediction and Binomial Proportion Confidence Intervals

As of 11 August 2026, this Paper Citation Record lists 11 of 11 outbound references and 0 inbound Pith citation observations for arXiv:2502.07497.

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

pith.paper-citation-record.v1
2502.07497 v1

Coverage vector

measured 11 of 11 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-08T12:38:49.329013Z

measured 11 of 11 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+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

11 of 11 outbound references displayed

  • verified exact1
  • verified fuzzy6
  • unresolved4
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ad9b0b2b-fa3b-46eb-93f1-564876a46a28 · outbound

This paper cites Conformal prediction: A gentle introduction.

On Training-Conditional Conformal Prediction and Binomial Proportion Confidence Intervals Conformal prediction: A gentle introduction

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T12:38:49.465859Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-08T12:38:49.155300Z digest=sha256:55b19b81bf4d609411e1ee4f90d05b62b62880f2464edebd6c16ed51e9e99504

Observation 93d8b36d-0ba7-45bd-90f2-22bd4e8a8bbd · outbound

This paper cites Reachability Analysis for Black-Box Dynamical Systems.

On Training-Conditional Conformal Prediction and Binomial Proportion Confidence Intervals Reachability Analysis for Black-Box Dynamical Systems

Reference 2

Resolution
verified exact
local_arxiv, observed 2026-08-08T12:38:49.360078Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-08T12:38:49.218218Z digest=sha256:c8e5fcacb864acbb5095bbfa299cf600cbd6cb96ebb62dba098df5a03c4b1a9a

Observation de5b2314-fb84-444a-aa88-a503dad60227 · outbound

This paper cites The use of confidence or fiducial limits illustrated in the case of the binomial.

On Training-Conditional Conformal Prediction and Binomial Proportion Confidence Intervals The use of confidence or fiducial limits illustrated in the case of the binomial

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T12:38:49.427069Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-08T12:38:49.289682Z digest=sha256:6befd933d374c42cb85441a547ed5904515d2458eac9a157b2633c4657031163

Observation 83df03bc-d2b1-4c22-9458-051de2d1651b · outbound

This paper cites Evaluating confidence interval methods for binomial proportions in clustered surveys.

On Training-Conditional Conformal Prediction and Binomial Proportion Confidence Intervals Evaluating confidence interval methods for binomial proportions in clustered surveys

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T12:38:49.417518Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-08T12:38:49.305926Z digest=sha256:543c3890b5eb7347f0acce901b7d8bb0ab74928054eb31d6cf417d64ab46f136

Observation 13f9e09c-5817-4041-8851-1eff12871d46 · outbound

This paper cites Conformal prediction: a unified review of theory and new challenges.

On Training-Conditional Conformal Prediction and Binomial Proportion Confidence Intervals Conformal prediction: a unified review of theory and new challenges

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-08T12:38:49.309818Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T12:38:49.309818Z digest=sha256:b0e4a8d444e56eac3ad2fee4df89eecbfb3a1193a87fff4489a13f6f0e0e71f1

Observation cfc11e68-f78d-4767-9dde-b1593dda8333 · outbound

This paper cites Verification of neural reachable tubes via scenario optimization and conformal prediction.

On Training-Conditional Conformal Prediction and Binomial Proportion Confidence Intervals Verification of neural reachable tubes via scenario optimization and conformal prediction

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T12:38:49.403901Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-08T12:38:49.313392Z digest=sha256:c2da0668570d5fd6917b561cbb9d4dc0f53d0e3ef28e5ac9f6a9f876e76453bf

Observation c2268c6d-5fa6-4771-a22c-11c830320e7d · outbound

This paper cites A tutorial on conformal prediction.

On Training-Conditional Conformal Prediction and Binomial Proportion Confidence Intervals A tutorial on conformal prediction

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-08T12:38:49.316676Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T12:38:49.316676Z digest=sha256:ff24f575cad8a745831acb6ae6193bcf374d5c0a6ac19035327d7caa3d9c4b81

Observation 017d6315-1359-4409-80d0-e551b048e584 · outbound

This paper cites Guarantees on robot system performance using stochastic simulation rollouts.

On Training-Conditional Conformal Prediction and Binomial Proportion Confidence Intervals Guarantees on robot system performance using stochastic simulation rollouts

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T12:38:49.389937Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-08T12:38:49.319493Z digest=sha256:c688ee4a56aab9cc193ec681e740778663266087b843a321d373317858627cc0

Observation e6f13a4c-ef42-4881-91c9-bc937dbf4991 · outbound

This paper cites Conditional validity of inductive conformal predictors.

On Training-Conditional Conformal Prediction and Binomial Proportion Confidence Intervals Conditional validity of inductive conformal predictors

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T12:38:49.380831Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-08T12:38:49.322344Z digest=sha256:482a1396f71da8edcf9099d7173a68756cd06e2e3b48d92a23e3ca447665d51a

Observation 3b9e4c12-ebcd-4561-b721-fb331ee840c4 · outbound

This paper cites Algorithmic learning in a random world, volume 29.

On Training-Conditional Conformal Prediction and Binomial Proportion Confidence Intervals Algorithmic learning in a random world, volume 29

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-08T12:38:49.325839Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T12:38:49.325839Z digest=sha256:2b6d9775e07f65b17289982edec9aa2a344f89b665a5faa7bac499d0784d30e0

Observation c980b925-c720-4278-91fa-51a1239dff27 · outbound

This paper cites write newline.

On Training-Conditional Conformal Prediction and Binomial Proportion Confidence Intervals write newline

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-08T12:38:49.329013Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T12:38:49.329013Z digest=sha256:e7bd0d1c2c81e824c49f1fceb3040d289790083f707958341d7c984eba85f4cd

Pith citing papers

No inbound Pith citation observations are available.