Paper Citation Record · LEDGER

Beyond Predicting Responses: Conformal Inference for Latent Distributional Parameters

As of 9 August 2026, this Paper Citation Record lists 17 of 17 outbound references and 0 inbound Pith citation observations for arXiv:2608.03607.

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

pith.paper-citation-record.v1
2608.03607 v1

Coverage vector

measured 17 of 17 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T16:16:00.743506Z

measured 17 of 17 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

17 of 17 outbound references displayed

verified exact3
verified fuzzy5
unresolved9
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 8c3831d0-4f63-4673-bea4-8a73531a813e · outbound

This paper cites Two-dimensionalθdata-generating mechanisms.For all four families,X∼ N(0, I2).

Beyond Predicting Responses: Conformal Inference for Latent Distributional Parameters Two-dimensionalθdata-generating mechanisms.For all four families,X∼ N(0, I2)

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:16:01.219312Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation d729be2e-c0f0-40b3-9368-a573c2ba24ce · outbound

This paper cites ForC γ ⊆ {0,1,2}, compatibility is evaluated exactly: pγ(θ) = 2X j=0 θj1{j∈ C γ}.

Beyond Predicting Responses: Conformal Inference for Latent Distributional Parameters ForC γ ⊆ {0,1,2}, compatibility is evaluated exactly: pγ(θ) = 2X j=0 θj1{j∈ C γ}

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:16:01.235540Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 9f3b4bf1-1cfa-46d0-a5d3-a13b59e56f80 · outbound

This paper cites Large-Scale Resilience Planning for Wildfire-Prone Electricity-System via Adaptive Robust Optimization.

Beyond Predicting Responses: Conformal Inference for Latent Distributional Parameters Large-Scale Resilience Planning for Wildfire-Prone Electricity-System via Adaptive Robust Optimization

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-05T16:16:00.678677Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 487395f0-3522-40e4-aa90-f67efe340e9b · outbound

This paper cites Locally Adaptive Conformal Inference for Operator Models.

Beyond Predicting Responses: Conformal Inference for Latent Distributional Parameters Locally Adaptive Conformal Inference for Operator Models

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-05T16:16:00.706076Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 830a05ce-ab98-4ebd-9918-7953f966e2dd · outbound

This paper cites Generative Conformal Prediction with Vectorized Non-Conformity Scores.

Beyond Predicting Responses: Conformal Inference for Latent Distributional Parameters Generative Conformal Prediction with Vectorized Non-Conformity Scores

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-05T16:16:00.727052Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 09f345aa-297d-42ad-872c-53c1466295cb · outbound

This paper cites 23 A Why Set-Valued Latent Inference Is Necessary This appendix formalizes two distinct obstacles to point identification of the latent distributional parameter.

Beyond Predicting Responses: Conformal Inference for Latent Distributional Parameters 23 A Why Set-Valued Latent Inference Is Necessary This appendix formalizes two distinct obstacles to point identification of the latent distributional parameter

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:16:01.253212Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation f796eac5-b32e-47e5-a0f8-0b100188b5ed · outbound

This paper cites doi: 10.1214/cbms/1462106013.

Beyond Predicting Responses: Conformal Inference for Latent Distributional Parameters doi: 10.1214/cbms/1462106013

Reference 1995

Resolution: verified exact; raw_fallback, observed 2026-08-05T16:16:00.924856Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 5450bb70-f10c-443c-9f98-4b7bea0ec0e3 · outbound

This paper cites URLhttps://doi.org/10.1214/009053606000000029.

Beyond Predicting Responses: Conformal Inference for Latent Distributional Parameters URLhttps://doi.org/10.1214/009053606000000029

Reference 2006

Resolution: verified exact; doi, observed 2026-08-05T16:16:00.783563Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 2310f1aa-7faa-4da3-9b5f-f07c834d2fbd · outbound

This paper cites Approximate bayesian computation in population genetics.Genetics, 162(4):2025–2035,.

Beyond Predicting Responses: Conformal Inference for Latent Distributional Parameters Approximate bayesian computation in population genetics.Genetics, 162(4):2025–2035,

Reference 2011

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:16:01.289029Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 86131b7f-979f-4a36-8100-a6d16b34e2fc · outbound

This paper cites Merging uncertainty sets via majority vote.

Beyond Predicting Responses: Conformal Inference for Latent Distributional Parameters Merging uncertainty sets via majority vote

Reference 2012

Resolution: unresolved; no resolver link, observed 2026-08-05T16:16:00.694077Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5a822d32-3490-489e-bde0-d655f6f822a5 · outbound

This paper cites Conformal prediction with cor- rupted labels: Uncertain imputation and robust re-weighting.arXiv preprint arXiv:2505.04733,.

Beyond Predicting Responses: Conformal Inference for Latent Distributional Parameters Conformal prediction with cor- rupted labels: Uncertain imputation and robust re-weighting.arXiv preprint arXiv:2505.04733,

Reference 2013

Resolution: unresolved; no resolver link, observed 2026-08-05T16:16:00.683994Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7258f84a-2004-4016-9b28-73895f18679d · outbound

This paper cites URLhttps://doi.org/ 10.1214/16-AOS1435.

Beyond Predicting Responses: Conformal Inference for Latent Distributional Parameters URLhttps://doi.org/ 10.1214/16-AOS1435

Reference 2017

Resolution: unresolved; no resolver link, observed 2026-08-05T16:16:00.668350Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 56022e95-4efb-4998-9883-45d61964b864 · outbound

This paper cites Lihua Lei and Emmanuel J Candès.

Beyond Predicting Responses: Conformal Inference for Latent Distributional Parameters Lihua Lei and Emmanuel J Candès

Reference 2018

Resolution: unresolved; no resolver link, observed 2026-08-05T16:16:00.716195Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c4b89bfd-303e-4044-a983-f6755e44637f · outbound

This paper cites Set-Preserving Calibration from Conformal P-Values to E-Values.

Beyond Predicting Responses: Conformal Inference for Latent Distributional Parameters Set-Preserving Calibration from Conformal P-Values to E-Values

Reference 2023

Resolution: verified exact; local_arxiv, observed 2026-08-05T16:16:01.201730Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 84a21642-4053-49d7-99ce-b955b44d1c2f · outbound

This paper cites E-Values Expand the Scope of Conformal Prediction.

Beyond Predicting Responses: Conformal Inference for Latent Distributional Parameters E-Values Expand the Scope of Conformal Prediction

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-05T16:16:00.700764Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ec84c761-2322-4505-b01b-54978fdceac5 · outbound

This paper cites Monitoring trends and burn severity (mtbs): Monitoring wildfire ac- tivity for the past quarter century using landsat data.

Beyond Predicting Responses: Conformal Inference for Latent Distributional Parameters Monitoring trends and burn severity (mtbs): Monitoring wildfire ac- tivity for the past quarter century using landsat data

Reference 2025

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:16:01.270914Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 63a6f725-e679-4839-bd7e-955c5628e59d · outbound

This paper cites A Gentle Introduction to Conformal Prediction and Distribution-Free Uncertainty Quantification.

Beyond Predicting Responses: Conformal Inference for Latent Distributional Parameters A Gentle Introduction to Conformal Prediction and Distribution-Free Uncertainty Quantification

Reference 2026

Resolution: unresolved; no resolver link, observed 2026-08-05T16:16:00.662677Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.