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Paper Citation Record · LEDGER

Fair Risk Control: A Generalized Framework for Calibrating Multi-group Fairness Risks

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2405.02225.

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

pith.paper-citation-record.v1
2405.02225 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T15:12:52.592612Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-30T12:54:40.086638Z

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 e2b49215-5ab9-407e-856c-62a9a50128f0 · inbound

Discretization-free Multicalibration through Loss Minimization over Tree Ensembles cites this paper.

Discretization-free Multicalibration through Loss Minimization over Tree Ensembles Fair Risk Control: A Generalized Framework for Calibrating Multi-group Fairness Risks

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-07T14:56:06.447151Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:56:06.447151Z digest=sha256:ffb80cb20964540a6be8bbf6a233e6e6e1a8aaf1b57f6b890c5dc05e4d5979c1

Observation 8a9e29b5-6362-4ee2-ae47-cf9a474e0844 · inbound

Trustworthy AI: Ensuring Reliability and Accountability from Models to Agents cites this paper.

Trustworthy AI: Ensuring Reliability and Accountability from Models to Agents Fair Risk Control: A Generalized Framework for Calibrating Multi-group Fairness Risks

Reference 167

Resolution
verified exact
arxiv_id, observed 2026-05-12T02:21:16.149561Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-12T02:21:12.882825Z digest=sha256:30feccc029bed18153c8ba3df31ba98b3a289ab99e7c5a1bb247b08df02f6745

Observation ac1233d6-1eab-4ad5-9fd2-676631498e16 · inbound

Multicalibration Boosting: Theory, Convergence, and Transferability cites this paper.

Multicalibration Boosting: Theory, Convergence, and Transferability Fair Risk Control: A Generalized Framework for Calibrating Multi-group Fairness Risks

Reference 9

Resolution
verified exact
arxiv_id, observed 2026-06-30T12:54:40.088980Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-06-30T12:50:19.491058Z digest=sha256:4038e24e22c5e020d140b39b8a201f67d45b9119fdbd2a18a233a8adb7e4b237

Observation aabdb67e-caf0-422c-9e92-a94375579b61 · inbound

A Statistical Framework for Data-Driven Discovery of Differential Performance in Clinical Risk Prediction Models cites this paper.

A Statistical Framework for Data-Driven Discovery of Differential Performance in Clinical Risk Prediction Models Fair Risk Control: A Generalized Framework for Calibrating Multi-group Fairness Risks

Reference 199

Resolution
unresolved
no resolver link, observed 2026-08-15T15:12:52.592612Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T15:12:52.592612Z digest=sha256:e929087514d5bca7ef704efd9b0e9282c38536d77c88030bdeab51218d5bf68b