Paper Citation Record · LEDGER

Incentive-Aware Machine Learning; Robustness, Fairness, Improvement & Causality

As of 16 August 2026, this Paper Citation Record lists 17 of 17 outbound references and 3 inbound Pith citation observations for arXiv:2505.05211.

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

pith.paper-citation-record.v1
2505.05211 v1

Coverage vector

measured 17 of 17 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T23:13:28.644382Z

measured 20 of 20 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:09:09.702890Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T05:30:58.443740Z

Reference resolution

17 of 17 outbound references displayed

verified exact1
verified fuzzy7
unresolved7
parse uncertain0
malformed identifier0
metadata mismatch2

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f5d7cd3c-dec2-40bf-acc5-1131fed6c616 · outbound

This paper cites Manipulation-Proof Machine Learning.

Incentive-Aware Machine Learning; Robustness, Fairness, Improvement & Causality Manipulation-Proof Machine Learning

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-15T23:13:28.377555Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1e279e00-1f33-49e4-be01-53ed8b407bc9 · outbound

This paper cites Who's Gaming the System? A Causally-Motivated Approach for Detecting Strategic Adaptation.

Incentive-Aware Machine Learning; Robustness, Fairness, Improvement & Causality Who's Gaming the System? A Causally-Motivated Approach for Detecting Strategic Adaptation

Reference 5

Resolution: metadata mismatch; local_arxiv, observed 2026-08-15T23:13:29.082601Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 290d84e3-a15e-474e-8411-f8baf1cba61a · outbound

This paper cites Learnability Gaps of Strategic Classification.

Incentive-Aware Machine Learning; Robustness, Fairness, Improvement & Causality Learnability Gaps of Strategic Classification

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-15T23:13:28.450072Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 98b899f1-5ae3-4be7-909f-07f1be474100 · outbound

This paper cites Group-fair classiﬁcation with strategic agents.

Incentive-Aware Machine Learning; Robustness, Fairness, Improvement & Causality Group-fair classiﬁcation with strategic agents

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:13:29.549807Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 68194b22-def7-4d50-999d-91098883bc89 · outbound

This paper cites Equalizing Recourse across Groups.

Incentive-Aware Machine Learning; Robustness, Fairness, Improvement & Causality Equalizing Recourse across Groups

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-15T23:13:28.473277Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4fb881f9-5d26-4220-b662-c38a0c2f1def · outbound

This paper cites URL https://doi.org/10.24963/ijcai.2020/23.

Incentive-Aware Machine Learning; Robustness, Fairness, Improvement & Causality URL https://doi.org/10.24963/ijcai.2020/23

Reference 13

Resolution: verified exact; doi, observed 2026-08-15T23:13:28.770031Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation c5628547-f561-4821-a6dd-36acd1f4bf9f · outbound

This paper cites Recommending to Strategic Users.

Incentive-Aware Machine Learning; Robustness, Fairness, Improvement & Causality Recommending to Strategic Users

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-15T23:13:28.572004Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 14f1d867-e8fe-4c87-81ce-470e1dc57065 · outbound

This paper cites A survey of algorithmic recourse: definitions, formulations, solutions, and prospects.

Incentive-Aware Machine Learning; Robustness, Fairness, Improvement & Causality A survey of algorithmic recourse: definitions, formulations, solutions, and prospects

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-15T23:13:28.585995Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 66b064d9-af9a-412f-b253-34136518fc5a · outbound

This paper cites One-shot strategic class iﬁcation under unknown costs.

Incentive-Aware Machine Learning; Robustness, Fairness, Improvement & Causality One-shot strategic class iﬁcation under unknown costs

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:13:29.290370Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 21e00772-8272-4113-b6a6-23790da0f6c0 · outbound

This paper cites The Double-Edged Sword of Behavioral Responses in Strategic Classification: Theory and User Studies.

Incentive-Aware Machine Learning; Robustness, Fairness, Improvement & Causality The Double-Edged Sword of Behavioral Responses in Strategic Classification: Theory and User Studies

Reference 2003

Resolution: unresolved; no resolver link, observed 2026-08-15T23:13:28.461094Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ae4edd30-c65b-49ed-8f04-01d763bc8153 · outbound

This paper cites Strategic classiﬁcation from revealed preferences.

Incentive-Aware Machine Learning; Robustness, Fairness, Improvement & Causality Strategic classiﬁcation from revealed preferences

Reference 2010

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:13:29.685451Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation d3bdde0d-8dac-4dc2-96ab-fd44e4886058 · outbound

This paper cites an unresolved cited work.

Incentive-Aware Machine Learning; Robustness, Fairness, Improvement & Causality Unresolved cited work

Reference 2019

Resolution: unresolved; raw_fallback, observed 2026-08-15T23:13:29.457671Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 584687d8-d29f-4b9b-aaf9-53472c9eaec9 · outbound

This paper cites The role of randomness and n oise in strategic classiﬁcation.

Incentive-Aware Machine Learning; Robustness, Fairness, Improvement & Causality The role of randomness and n oise in strategic classiﬁcation

Reference 2020

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:13:29.768910Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 338ad38d-b552-4d0f-bdcb-c77a91f0f890 · outbound

This paper cites On classiﬁcation of strategic agents who can both game and improve.

Incentive-Aware Machine Learning; Robustness, Fairness, Improvement & Causality On classiﬁcation of strategic agents who can both game and improve

Reference 2021

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:13:29.879733Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 190cf289-65e0-4c1f-9763-4a2c9547c3cb · outbound

This paper cites Strategic Littlestone Dimension: Improved Bounds on Online Strategic Classification.

Incentive-Aware Machine Learning; Robustness, Fairness, Improvement & Causality Strategic Littlestone Dimension: Improved Bounds on Online Strategic Classification

Reference 2022

Resolution: metadata mismatch; local_arxiv, observed 2026-08-15T23:13:29.271316Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 48c63c79-b366-4d03-bd46-4b2efcbca40e · outbound

This paper cites Classiﬁcation un- der strategic self-selection.

Incentive-Aware Machine Learning; Robustness, Fairness, Improvement & Causality Classiﬁcation un- der strategic self-selection

Reference 2023

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:13:29.438764Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation f19e5e3a-901e-42a3-8769-091d7d151aeb · outbound

This paper cites Strategyproof linear regression in high dimensions.

Incentive-Aware Machine Learning; Robustness, Fairness, Improvement & Causality Strategyproof linear regression in high dimensions

Reference 2024

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:13:29.704811Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Pith citing papers

Observation 3715956b-9540-4efe-9bab-36f9b15e787b · inbound

The Disparate Effects of Partial Information in Bayesian Strategic Learning cites this paper.

The Disparate Effects of Partial Information in Bayesian Strategic Learning Incentive-Aware Machine Learning; Robustness, Fairness, Improvement & Causality

Reference 2012

Resolution: unresolved; no resolver link, observed 2026-08-07T12:09:09.702890Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 47ebb762-2a04-4630-866e-9d19b2088544 · inbound

Desirable Effort Fairness and Optimality Trade-offs in Strategic Learning cites this paper.

Desirable Effort Fairness and Optimality Trade-offs in Strategic Learning Incentive-Aware Machine Learning; Robustness, Fairness, Improvement & Causality

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-04T08:48:54.586668Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c7896643-fc46-4505-92e4-f321f0f9e15b · inbound

Revisiting Fairness Impossibility with Endogenous Behavior cites this paper.

Revisiting Fairness Impossibility with Endogenous Behavior Incentive-Aware Machine Learning; Robustness, Fairness, Improvement & Causality

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-05-11T05:30:58.447021Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.