Paper Citation Record · LEDGER

Overcoming Fairness Trade-offs via Pre-processing: A Causal Perspective

As of 11 August 2026, this Paper Citation Record lists 64 of 64 outbound references and 1 inbound Pith citation observation for arXiv:2501.14710.

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

pith.paper-citation-record.v1
2501.14710 v1

Coverage vector

measured 64 of 64 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T15:01:05.680627Z

measured 65 of 65 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T16:15:15.900741Z

measured 1 of 1 external citation measurements

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

Source: pith, observed 2026-08-10T05:30:23.456663Z

Reference resolution

64 of 64 outbound references displayed

verified exact8
verified fuzzy9
unresolved44
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External citation measurements

2
pith, observed 2026-08-10T05:30:23.456663Z

Outbound references

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This paper cites an unresolved cited work.

Overcoming Fairness Trade-offs via Pre-processing: A Causal Perspective Unresolved cited work

Reference 1

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Observation ca4fa74c-9f6e-498f-8ac5-c501603c1f07 · outbound

This paper cites an unresolved cited work.

Overcoming Fairness Trade-offs via Pre-processing: A Causal Perspective Unresolved cited work

Reference 2

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Overcoming Fairness Trade-offs via Pre-processing: A Causal Perspective Unresolved cited work

Reference 3

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Overcoming Fairness Trade-offs via Pre-processing: A Causal Perspective Unresolved cited work

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This paper cites A Convex Framework for Fair Regression.

Overcoming Fairness Trade-offs via Pre-processing: A Causal Perspective A Convex Framework for Fair Regression

Reference 5

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Overcoming Fairness Trade-offs via Pre-processing: A Causal Perspective Unresolved cited work

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Overcoming Fairness Trade-offs via Pre-processing: A Causal Perspective Unresolved cited work

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Overcoming Fairness Trade-offs via Pre-processing: A Causal Perspective Unresolved cited work

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This paper cites What Is Fairness? On the Role of Protected Attributes and Fictitious Worlds.

Overcoming Fairness Trade-offs via Pre-processing: A Causal Perspective What Is Fairness? On the Role of Protected Attributes and Fictitious Worlds

Reference 9

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Overcoming Fairness Trade-offs via Pre-processing: A Causal Perspective Unresolved cited work

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Overcoming Fairness Trade-offs via Pre-processing: A Causal Perspective Unresolved cited work

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This paper cites Elisa Celis, Lingxiao Huang, Vijay Keswani, and Nisheeth K.

Overcoming Fairness Trade-offs via Pre-processing: A Causal Perspective Elisa Celis, Lingxiao Huang, Vijay Keswani, and Nisheeth K

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Overcoming Fairness Trade-offs via Pre-processing: A Causal Perspective Unresolved cited work

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Overcoming Fairness Trade-offs via Pre-processing: A Causal Perspective Unresolved cited work

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Overcoming Fairness Trade-offs via Pre-processing: A Causal Perspective Unresolved cited work

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Overcoming Fairness Trade-offs via Pre-processing: A Causal Perspective Feder Cooper, Ellen Abrams, and Na Na

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Overcoming Fairness Trade-offs via Pre-processing: A Causal Perspective Gaebler, Hamed Nilforoshan, Ravi Shroff, and Sharad Goel

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Overcoming Fairness Trade-offs via Pre-processing: A Causal Perspective Unresolved cited work

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Overcoming Fairness Trade-offs via Pre-processing: A Causal Perspective Gupta, Serena Lutong Wang, Taman Narayan, Seungil You, and Karthik Sridharan

Reference 19

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Overcoming Fairness Trade-offs via Pre-processing: A Causal Perspective Cruz, Catarina G

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Observation 3cfbbd92-9fbf-44e7-b207-bbe87ba072b8 · outbound

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Overcoming Fairness Trade-offs via Pre-processing: A Causal Perspective Cruz and Moritz Hardt

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Overcoming Fairness Trade-offs via Pre-processing: A Causal Perspective Tsakalidis, and Giannis Tzimas

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Overcoming Fairness Trade-offs via Pre-processing: A Causal Perspective On the (im)possibility of fairness

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Overcoming Fairness Trade-offs via Pre-processing: A Causal Perspective Friedler, Carlos Scheidegger, and Suresh Venkatasubramanian

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Overcoming Fairness Trade-offs via Pre-processing: A Causal Perspective Reranking individuals: The effect of fair classification within-groups

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Overcoming Fairness Trade-offs via Pre-processing: A Causal Perspective Kearns, Seth Neel, Aaron Roth, and Zhiwei Steven Wu

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Overcoming Fairness Trade-offs via Pre-processing: A Causal Perspective Constantinou, Zhigao Guo, Yang Liu, and Kiattikun Chobtham

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Overcoming Fairness Trade-offs via Pre-processing: A Causal Perspective Kleinberg, Sendhil Mullainathan, and Manish Raghavan

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Overcoming Fairness Trade-offs via Pre-processing: A Causal Perspective Fairness Through Regularization for Learning to Rank

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Overcoming Fairness Trade-offs via Pre-processing: A Causal Perspective Kusner, Joshua R

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Overcoming Fairness Trade-offs via Pre-processing: A Causal Perspective Gummadi, and Gerhard Weikum

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Overcoming Fairness Trade-offs via Pre-processing: A Causal Perspective Causal Reasoning for Algorithmic Fairness

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Overcoming Fairness Trade-offs via Pre-processing: A Causal Perspective Williamson

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Overcoming Fairness Trade-offs via Pre-processing: A Causal Perspective Auditing and Achieving Intersectional Fairness in Classification Problems

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Overcoming Fairness Trade-offs via Pre-processing: A Causal Perspective Fairness-Accuracy Trade-Offs: A Causal Perspective

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Overcoming Fairness Trade-offs via Pre-processing: A Causal Perspective Rodolfa, Hemank Lamba, and Rayid Ghani

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Overcoming Fairness Trade-offs via Pre-processing: A Causal Perspective Ríos Aliaga, Djallel Bouneffouf, Vinod Muthusamy, and Kush R

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Overcoming Fairness Trade-offs via Pre-processing: A Causal Perspective Counterfactual Fairness Is Not Demographic Parity, and Other Observations

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Overcoming Fairness Trade-offs via Pre-processing: A Causal Perspective van der Laan, and Romain Neugebauer

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Overcoming Fairness Trade-offs via Pre-processing: A Causal Perspective Unresolved cited work

Reference 57

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Reference 58

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Overcoming Fairness Trade-offs via Pre-processing: A Causal Perspective Wick, Swetasudha Panda, and Jean-Baptiste Tristan

Reference 59

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Reference 60

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Overcoming Fairness Trade-offs via Pre-processing: A Causal Perspective Unresolved cited work

Reference 61

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Overcoming Fairness Trade-offs via Pre-processing: A Causal Perspective Unresolved cited work

Reference 62

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Overcoming Fairness Trade-offs via Pre-processing: A Causal Perspective Zemel, Yu Wu, Kevin Swersky, Toniann Pitassi, and Cynthia Dwork

Reference 63

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Overcoming Fairness Trade-offs via Pre-processing: A Causal Perspective On the relation between accuracy and fairness in binary classification

Reference 64

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Pith citing papers

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Privilege Scores Overcoming Fairness Trade-offs via Pre-processing: A Causal Perspective

Reference 14

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