Paper Citation Record · LEDGER

Maximizing Predictive Performance for Small Subgroups: Functionally Adaptive Interaction Regularization (FAIR)

As of 19 August 2026, this Paper Citation Record lists 28 of 28 outbound references and 0 inbound Pith citation observations for arXiv:2412.20190.

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

pith.paper-citation-record.v1
2412.20190 v2

Coverage vector

measured 28 of 28 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T23:32:36.953067Z

measured 28 of 28 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+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

28 of 28 outbound references displayed

verified exact3
verified fuzzy24
unresolved1
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 2b8b3d10-568d-48b7-afd9-29f43b3c9aa8 · outbound

This paper cites Predicting with proxies: Transfer learning in high dimension.

Maximizing Predictive Performance for Small Subgroups: Functionally Adaptive Interaction Regularization (FAIR) Predicting with proxies: Transfer learning in high dimension

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-10T23:32:36.830707Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f0d5ca46-31eb-499a-8452-2e1953f62662 · outbound

This paper cites Automating procedurally fair feature selection in machine learning.

Maximizing Predictive Performance for Small Subgroups: Functionally Adaptive Interaction Regularization (FAIR) Automating procedurally fair feature selection in machine learning

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:32:37.610557Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 5c19918d-8bab-4422-87ce-aef5f0d6206d · outbound

This paper cites Ethical machine learning in healthcare.

Maximizing Predictive Performance for Small Subgroups: Functionally Adaptive Interaction Regularization (FAIR) Ethical machine learning in healthcare

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:32:37.596349Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation c84dc7a2-da4f-4d82-bbd8-e2e71a397649 · outbound

This paper cites Symptoms across the continuum of acute coronary syndromes: differences between women and men.

Maximizing Predictive Performance for Small Subgroups: Functionally Adaptive Interaction Regularization (FAIR) Symptoms across the continuum of acute coronary syndromes: differences between women and men

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:32:37.581629Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation b1d9ddad-aa96-4436-8874-07f4c08a978a · outbound

This paper cites Joint Fairness Model with Applications to Risk Predictions for Under-represented Populations.

Maximizing Predictive Performance for Small Subgroups: Functionally Adaptive Interaction Regularization (FAIR) Joint Fairness Model with Applications to Risk Predictions for Under-represented Populations

Reference 5

Resolution: verified exact; local_arxiv, observed 2026-08-10T23:32:37.251243Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 4b6783e0-3c10-4cbb-9aec-b1af4ca77686 · outbound

This paper cites The joint lasso: high-dimensional regression for group structured data.

Maximizing Predictive Performance for Small Subgroups: Functionally Adaptive Interaction Regularization (FAIR) The joint lasso: high-dimensional regression for group structured data

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:32:37.566866Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 99037f70-cd38-4196-8b84-908423d4cdb5 · outbound

This paper cites Black-white differences in the use of medical care by the elderly: a contemporary analysis.

Maximizing Predictive Performance for Small Subgroups: Functionally Adaptive Interaction Regularization (FAIR) Black-white differences in the use of medical care by the elderly: a contemporary analysis

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:32:37.551916Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation ffd0c8ee-a7d0-4540-b342-16b50744fc38 · outbound

This paper cites Fair Machine Learning in Healthcare: A Review.

Maximizing Predictive Performance for Small Subgroups: Functionally Adaptive Interaction Regularization (FAIR) Fair Machine Learning in Healthcare: A Review

Reference 8

Resolution: verified exact; local_arxiv, observed 2026-08-10T23:32:37.019182Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation f6427c23-728a-4adf-b49e-4b982797d09d · outbound

This paper cites Multicalibration as boosting for regression.

Maximizing Predictive Performance for Small Subgroups: Functionally Adaptive Interaction Regularization (FAIR) Multicalibration as boosting for regression

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:32:37.536949Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 64674d76-8ba6-4928-98be-2ad7934370a3 · outbound

This paper cites 2013 acc/aha guideline on the assessment of cardiovascular risk: a report of the american college of cardiology/american heart association task force on practice guidelines.

Maximizing Predictive Performance for Small Subgroups: Functionally Adaptive Interaction Regularization (FAIR) 2013 acc/aha guideline on the assessment of cardiovascular risk: a report of the american college of cardiology/american heart association task force on practice guidelines

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:32:37.522466Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation a71f1845-6f1f-43bd-b8c3-ca70025dca9b · outbound

This paper cites A transfer learning approach based on random forest with application to breast cancer prediction in underrepresented populations.

Maximizing Predictive Performance for Small Subgroups: Functionally Adaptive Interaction Regularization (FAIR) A transfer learning approach based on random forest with application to breast cancer prediction in underrepresented populations

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:32:37.507953Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 490f6306-ab55-40f3-a789-2ddaccdf5f22 · outbound

This paper cites An introduction to glmnet.

Maximizing Predictive Performance for Small Subgroups: Functionally Adaptive Interaction Regularization (FAIR) An introduction to glmnet

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:32:37.493561Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation dddbe0f3-b0af-4e54-9ecc-8c1b71faec1d · outbound

This paper cites Kim, Omer Reingold, and Guy N.

Maximizing Predictive Performance for Small Subgroups: Functionally Adaptive Interaction Regularization (FAIR) Kim, Omer Reingold, and Guy N

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:32:37.478665Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 3376dc67-efa3-4ee5-ae30-ec17d3ac9920 · outbound

This paper cites Issitt, Mario Cortina-Borja, William Bryant, Stuart Bowyer, Andrew M.

Maximizing Predictive Performance for Small Subgroups: Functionally Adaptive Interaction Regularization (FAIR) Issitt, Mario Cortina-Borja, William Bryant, Stuart Bowyer, Andrew M

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:32:37.463804Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation c285ea37-3f0a-4f9a-8e68-fe5c4225c503 · outbound

This paper cites Kan, Hadi Kharrazi, Hsien-Yen Chang, Dave Bodycombe, Klaus Lemke, and Jonathan P.

Maximizing Predictive Performance for Small Subgroups: Functionally Adaptive Interaction Regularization (FAIR) Kan, Hadi Kharrazi, Hsien-Yen Chang, Dave Bodycombe, Klaus Lemke, and Jonathan P

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:32:37.448872Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 11984035-2eeb-4e35-8443-d6d1bb669c7d · outbound

This paper cites La Cava, Elle Lett, and Guangya Wan.

Maximizing Predictive Performance for Small Subgroups: Functionally Adaptive Interaction Regularization (FAIR) La Cava, Elle Lett, and Guangya Wan

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:32:37.433353Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation d7632f90-16b9-4771-b8ef-bab5928ff714 · outbound

This paper cites A new equation to estimate glomerular filtration rate.

Maximizing Predictive Performance for Small Subgroups: Functionally Adaptive Interaction Regularization (FAIR) A new equation to estimate glomerular filtration rate

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:32:37.417324Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation e66a0152-fa9d-441d-a0ca-4f351882713e · outbound

This paper cites Targeting Underrepresented Populations in Precision Medicine: A Federated Transfer Learning Approach.

Maximizing Predictive Performance for Small Subgroups: Functionally Adaptive Interaction Regularization (FAIR) Targeting Underrepresented Populations in Precision Medicine: A Federated Transfer Learning Approach

Reference 18

Resolution: verified exact; local_arxiv, observed 2026-08-10T23:32:36.996561Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 6e4bd5a1-fdac-4194-b0eb-91daac96bb6a · outbound

This paper cites A survey on bias and fairness in machine learning.

Maximizing Predictive Performance for Small Subgroups: Functionally Adaptive Interaction Regularization (FAIR) A survey on bias and fairness in machine learning

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:32:37.401979Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation aac5b30c-66bf-4b33-9457-099285cedf1d · outbound

This paper cites Enrollment of racial minorities in clinical trials: old problem assumes new urgency in the age of immunotherapy.

Maximizing Predictive Performance for Small Subgroups: Functionally Adaptive Interaction Regularization (FAIR) Enrollment of racial minorities in clinical trials: old problem assumes new urgency in the age of immunotherapy

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:32:37.387684Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 6e904e79-5d51-4952-b5d3-ffaefabced59 · outbound

This paper cites A review on fairness in machine learning.

Maximizing Predictive Performance for Small Subgroups: Functionally Adaptive Interaction Regularization (FAIR) A review on fairness in machine learning

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:32:37.372487Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 4834a00b-ef01-405d-a74c-309483f91124 · outbound

This paper cites Impact of hba1c measurement on hospital readmission rates: analysis of 70,000 clinical database patient records.

Maximizing Predictive Performance for Small Subgroups: Functionally Adaptive Interaction Regularization (FAIR) Impact of hba1c measurement on hospital readmission rates: analysis of 70,000 clinical database patient records

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:32:37.357659Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation b373aee2-ccee-489b-adf4-3d44bd8c3b68 · outbound

This paper cites Sparsity and smoothness via the fused lasso.

Maximizing Predictive Performance for Small Subgroups: Functionally Adaptive Interaction Regularization (FAIR) Sparsity and smoothness via the fused lasso

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:32:37.342599Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation a5a51136-3c41-4f90-8489-757c1dd932c9 · outbound

This paper cites Fairness without harm: Decoupled classifiers with preference guarantees.

Maximizing Predictive Performance for Small Subgroups: Functionally Adaptive Interaction Regularization (FAIR) Fairness without harm: Decoupled classifiers with preference guarantees

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:32:37.326793Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 7a42ce79-be70-4be4-8d4f-eb9886bcb3d6 · outbound

This paper cites Machine learning versus regression modelling in predicting individual healthcare costs from a representative sample of the nationwide claims database in france.

Maximizing Predictive Performance for Small Subgroups: Functionally Adaptive Interaction Regularization (FAIR) Machine learning versus regression modelling in predicting individual healthcare costs from a representative sample of the nationwide claims database in france

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:32:37.312406Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 62f47724-9eed-4678-bd76-2c5ae4aef1a8 · outbound

This paper cites Steyerberg, Georg Heinze, and Geraldine Rauch.

Maximizing Predictive Performance for Small Subgroups: Functionally Adaptive Interaction Regularization (FAIR) Steyerberg, Georg Heinze, and Geraldine Rauch

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:32:37.297167Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation e317421e-f855-4b9d-813d-97ac8110d3e0 · outbound

This paper cites Fairness beyond disparate treatment & disparate impact: Learning classification without disparate mistreatment.

Maximizing Predictive Performance for Small Subgroups: Functionally Adaptive Interaction Regularization (FAIR) Fairness beyond disparate treatment & disparate impact: Learning classification without disparate mistreatment

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:32:37.281713Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 8641995e-3879-47eb-88ba-af791e70427c · outbound

This paper cites Fair regression for health care spending.

Maximizing Predictive Performance for Small Subgroups: Functionally Adaptive Interaction Regularization (FAIR) Fair regression for health care spending

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:32:37.266506Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Pith citing papers

No inbound Pith citation observations are available.