Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-11T05:56:48.035978Z
Paper Citation Record · LEDGER
Fair and Accurate Regression: Strong Formulations and Algorithms
As of 22 August 2026, this Paper Citation Record lists 14 of 14 outbound references and 1 inbound Pith citation observation for arXiv:2412.17116.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-15T22:59:43.561676Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-15T22:59:43.780021Z
Reference resolution
14 of 14 outbound references displayed
- verified exact4
- verified fuzzy6
- unresolved4
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation f0760a88-aa08-4702-b15f-db44bccd6077 · outbound
This paper cites Unbiased Subdata Selection for Fair Classification: A Unified Framework and Scalable Algorithms.
Fair and Accurate Regression: Strong Formulations and Algorithms Unbiased Subdata Selection for Fair Classification: A Unified Framework and Scalable Algorithms
Reference 12
- Resolution
- verified exact
- local_arxiv, observed 2026-08-11T05:56:48.104655Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 6da80475-5672-45a4-94cb-01a5d8c06b0c · outbound
This paper cites Distributionally Fair Stochastic Optimization using Wasserstein Distance.
Fair and Accurate Regression: Strong Formulations and Algorithms Distributionally Fair Stochastic Optimization using Wasserstein Distance
Reference 13
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T05:56:48.031092Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 57cd3630-d681-4035-837c-556f86a34d9e · outbound
This paper cites Metrizing Fairness.
Fair and Accurate Regression: Strong Formulations and Algorithms Metrizing Fairness
Reference 1970
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T05:56:48.017380Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 02fe5f9b-26d6-44f8-a5a7-c288f71476ef · outbound
This paper cites Spectral algorithms for computing fair support vector machines.
Fair and Accurate Regression: Strong Formulations and Algorithms Spectral algorithms for computing fair support vector machines
Reference 1972
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T05:56:48.195492Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 75c3da7d-1e69-4779-b858-1c3ebe9dacd3 · outbound
This paper cites A Convex Framework for Fair Regression.
Fair and Accurate Regression: Strong Formulations and Algorithms A Convex Framework for Fair Regression
Reference 1996
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T05:56:47.989457Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3868a2d6-acdd-42ba-a641-586267941b6e · outbound
This paper cites Ohannessian, and Nathan Srebro.
Fair and Accurate Regression: Strong Formulations and Algorithms Ohannessian, and Nathan Srebro
Reference 1998
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T05:56:48.183802Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 4ffc3f26-2a67-47d2-a20a-92aef400481e · outbound
This paper cites Rank-one Convexification for Sparse Regression.
Fair and Accurate Regression: Strong Formulations and Algorithms Rank-one Convexification for Sparse Regression
Reference 2000
- Resolution
- verified exact
- local_arxiv, observed 2026-08-11T05:56:48.160100Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation fa3622e9-d1f3-4bc8-a7c1-3c7b9e651f96 · outbound
This paper cites Ralph Tyrell Rockafellar.
Fair and Accurate Regression: Strong Formulations and Algorithms Ralph Tyrell Rockafellar
Reference 2009
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T05:56:48.013130Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 67dad4f0-c853-4270-b402-5e49f95abc70 · outbound
This paper cites The fairness regularizer is computed by solving the optimization problem (23).
Fair and Accurate Regression: Strong Formulations and Algorithms The fairness regularizer is computed by solving the optimization problem (23)
Reference 2010
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T05:56:48.172351Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 111d1fe9-bea5-43f5-942a-b6555d130c1b · outbound
This paper cites Fair Decision Rules for Binary Classification.
Fair and Accurate Regression: Strong Formulations and Algorithms Fair Decision Rules for Binary Classification
Reference 2018
- Resolution
- verified exact
- local_arxiv, observed 2026-08-11T05:56:48.132236Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 5a75d04b-4e77-4ff4-8715-d1cc08b8371f · outbound
This paper cites Edoardo Amaldi and Viggo Kann.
Fair and Accurate Regression: Strong Formulations and Algorithms Edoardo Amaldi and Viggo Kann
Reference 2019
- Resolution
- verified exact
- doi, observed 2026-08-11T05:56:48.076487Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 85f20368-40ee-405d-943f-e7beb3a7add6 · outbound
This paper cites Controlling attribute effect in linear regression.
Fair and Accurate Regression: Strong Formulations and Algorithms Controlling attribute effect in linear regression
Reference 2020
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T05:56:48.229553Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation c87f3bc2-643d-4285-8bf8-2cb5678b9c4a · outbound
This paper cites Fairness-aware classifier with prejudice remover regularizer.
Fair and Accurate Regression: Strong Formulations and Algorithms Fairness-aware classifier with prejudice remover regularizer
Reference 2023
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T05:56:48.207130Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 9b6102b8-4e54-4408-8b73-3f34984f55f0 · outbound
This paper cites Learning optimal fair decision trees: Trade-offs between interpretability, fairness, and accuracy.
Fair and Accurate Regression: Strong Formulations and Algorithms Learning optimal fair decision trees: Trade-offs between interpretability, fairness, and accuracy
Reference 2024
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T05:56:48.218285Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Pith citing papers
Observation 01bb7b0c-7d37-47c3-863d-2e94ff095a25 · inbound
Responsible Machine Learning via Mixed-Integer Optimization cites this paper.
Responsible Machine Learning via Mixed-Integer Optimization Fair and Accurate Regression: Strong Formulations and Algorithms
Reference 17
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-08-15T22:59:43.785915Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.