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Paper Citation Record · LEDGER

Decision Theoretic Foundations for Conformal Prediction: Optimal Uncertainty Quantification for Risk-Averse Agents

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2502.02561.

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

pith.paper-citation-record.v1
2502.02561 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T04:19:04.292169Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T05:57:41.029900Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation d9d06b2b-60d8-40d3-8c4c-a528a3450864 · inbound

Constrained Diffusion Models for Synthesizing Representative Power Flow Datasets cites this paper.

Constrained Diffusion Models for Synthesizing Representative Power Flow Datasets Decision Theoretic Foundations for Conformal Prediction: Optimal Uncertainty Quantification for Risk-Averse Agents

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-07T04:19:04.292169Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:19:04.292169Z digest=sha256:fd190f7af22640b7ea7b04871f98c729123aea50f059756a4d032941e8caad0f

Observation fabced9d-e775-4926-a529-5ec0ef4be97d · inbound

Set-Valued Policy Learning cites this paper.

Set-Valued Policy Learning Decision Theoretic Foundations for Conformal Prediction: Optimal Uncertainty Quantification for Risk-Averse Agents

Reference 22

Resolution
verified exact
arxiv_id, observed 2026-05-20T07:03:06.131906Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-20T07:01:58.599335Z digest=sha256:1957e3f98ebd9205e268bdbeea05db628aa92360d2eded982cfe685ab2473102

Observation e338ca82-5c60-4ed6-833c-2027ed44f5f3 · inbound

Prediction Sets for Counterfactual Decisions: Coverage, Optimality, and Conformal Prediction cites this paper.

Prediction Sets for Counterfactual Decisions: Coverage, Optimality, and Conformal Prediction Decision Theoretic Foundations for Conformal Prediction: Optimal Uncertainty Quantification for Risk-Averse Agents

Reference 14

Resolution
metadata mismatch
arxiv_id, observed 2026-07-03T05:57:41.031739Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-07-03T05:54:40.395840Z digest=sha256:a6be22e669085764f0879078d146c3de5b3537008abccb5beddf5dac31ee88e6

Observation ae85cffb-af8b-4a22-87d8-b18cd36de342 · inbound

Decision Making Needs Uncertainty Quantification [Lecture Notes] cites this paper.

Decision Making Needs Uncertainty Quantification [Lecture Notes] Decision Theoretic Foundations for Conformal Prediction: Optimal Uncertainty Quantification for Risk-Averse Agents

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-02T02:14:47.091760Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T02:14:47.091760Z digest=sha256:c305725650ea4673d1812656574a10db85ea7b2dfabd9e9a658c687a7f96932e

Observation fced17fc-9788-44ee-9241-5eaa4dd62048 · inbound

Conformal Changepoint Localization and Root Cause Analysis with Corrupted Observations cites this paper.

Conformal Changepoint Localization and Root Cause Analysis with Corrupted Observations Decision Theoretic Foundations for Conformal Prediction: Optimal Uncertainty Quantification for Risk-Averse Agents

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-01T14:55:39.648061Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T14:55:39.648061Z digest=sha256:6b625a033708a3e4cfe23928f937c2222658c442cfa5d5280decf643244193bb