Paper Citation Record · LEDGER

Data Management for Causal Algorithmic Fairness

As of 20 August 2026, this Paper Citation Record lists 48 of 48 outbound references and 3 inbound Pith citation observations for arXiv:1908.07924.

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

pith.paper-citation-record.v1
1908.07924 v3

Coverage vector

measured 48 of 48 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T12:22:41.095837Z

measured 51 of 51 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 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:28:38.438757Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-24T12:06:10.990637Z

Reference resolution

48 of 48 outbound references displayed

verified exact0
verified fuzzy39
unresolved9
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c0b0a9a7-15ec-4f04-b505-a6264ca3eac3 · outbound

This paper cites Foundations of Databases.

Data Management for Causal Algorithmic Fairness Foundations of Databases

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-14T12:22:40.885895Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 58316a61-41ed-4bdc-8506-377578d0d3d8 · outbound

This paper cites Approximated summarization of data provenance.

Data Management for Causal Algorithmic Fairness Approximated summarization of data provenance

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:22:41.782477Z

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 b5eaa3b6-98e6-40f4-be56-b41954fb9606 · outbound

This paper cites Constraint-based explanation and repair of ﬁlter-based transformations.

Data Management for Causal Algorithmic Fairness Constraint-based explanation and repair of ﬁlter-based transformations

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:22:41.770227Z

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 4fe66147-b633-49b9-aab1-a22850754702 · outbound

This paper cites Identiﬁability of path-speciﬁc effects.

Data Management for Causal Algorithmic Fairness Identiﬁability of path-speciﬁc effects

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:22:41.756651Z

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 3bd5d195-4dc6-4908-a1f9-e5690092b8b1 · outbound

This paper cites Causes for query answers from databases: Datalog abduction, view-updates, and integrity constraints.

Data Management for Causal Algorithmic Fairness Causes for query answers from databases: Datalog abduction, view-updates, and integrity constraints

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:22:41.744564Z

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 14359a69-ac1f-4723-ae6e-0dc8c9e35644 · outbound

This paper cites Bertossi.

Data Management for Causal Algorithmic Fairness Bertossi

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:22:41.731559Z

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 d0315191-8dcb-4f2f-a7fc-fbbf6f97ff66 · outbound

This paper cites Building classiﬁers with independency constraints.

Data Management for Causal Algorithmic Fairness Building classiﬁers with independency constraints

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:22:41.719418Z

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 9078398a-dbc5-4660-bbe0-ff739d2358c0 · outbound

This paper cites Why not? In Proceedings of the 2009 ACM SIGMOD International Conference on Management of data, pages 523–534.

Data Management for Causal Algorithmic Fairness Why not? In Proceedings of the 2009 ACM SIGMOD International Conference on Management of data, pages 523–534

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:22:41.705666Z

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 1bb7c3e2-f19e-43f8-8946-91abf477dde0 · outbound

This paper cites Fair prediction with disparate impact: A study of bias in recidivism prediction instruments.

Data Management for Causal Algorithmic Fairness Fair prediction with disparate impact: A study of bias in recidivism prediction instruments

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-14T12:22:40.921464Z

Source-reported events for the cited work

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Observation 5f7379a9-f0d1-4929-813b-97dd5af69f70 · outbound

This paper cites Algorithmic decision making and the cost of fairness.

Data Management for Causal Algorithmic Fairness Algorithmic decision making and the cost of fairness

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-14T12:22:40.925376Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9c0b777f-93aa-4e65-8437-fafd249baec1 · outbound

This paper cites Bias detectives: the researchers striving to make algorithms fair.

Data Management for Causal Algorithmic Fairness Bias detectives: the researchers striving to make algorithms fair

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:22:41.678317Z

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 094278f1-8715-4fd5-81e7-e2c1cb3fbd60 · outbound

This paper cites Fairness through awareness.

Data Management for Causal Algorithmic Fairness Fairness through awareness

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:22:41.665246Z

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 135fb044-840c-4ae5-98cf-4f5690513891 · outbound

This paper cites Fairness testing: testing software for discrimination.

Data Management for Causal Algorithmic Fairness Fairness testing: testing software for discrimination

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:22:41.651214Z

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 0b96d694-e578-44f6-bc3a-50e5667747eb · outbound

This paper cites Data provenance: A categorization of existing approaches.

Data Management for Causal Algorithmic Fairness Data provenance: A categorization of existing approaches

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:22:41.630270Z

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 3f0ca5d3-30a6-421c-bc83-8ba9753ad9f6 · outbound

This paper cites Equality of opportunity in supervised learning.

Data Management for Causal Algorithmic Fairness Equality of opportunity in supervised learning

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:22:41.613865Z

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 99b1354f-1976-4ab9-8fa5-a0741fa390d8 · outbound

This paper cites Avoiding discrimination through causal reasoning.

Data Management for Causal Algorithmic Fairness Avoiding discrimination through causal reasoning

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:22:41.599238Z

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 abfc1e7a-6913-4ba7-808c-cf42980a9c19 · outbound

This paper cites Counterfactual fairness.

Data Management for Causal Algorithmic Fairness Counterfactual fairness

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:22:41.584103Z

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 96b139cf-9498-4de3-96bc-6a8924740827 · outbound

This paper cites How we analyzed the compas recidivism algorithm.

Data Management for Causal Algorithmic Fairness How we analyzed the compas recidivism algorithm

Reference 18

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Source-reported events for the cited work

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Observation e590ec4a-223e-44a9-bdd8-2d0fd6d57e26 · outbound

This paper cites Levy, Alberto O.

Data Management for Causal Algorithmic Fairness Levy, Alberto O

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:22:41.558689Z

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 ffe18649-4363-4953-a40f-590b043cbb0d · outbound

This paper cites an unresolved cited work.

Data Management for Causal Algorithmic Fairness Unresolved cited work

Reference 20

Resolution: unresolved; raw_fallback, observed 2026-08-14T12:22:41.543799Z

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 055652ee-1fda-4951-ac8e-0ed7d6549b2e · outbound

This paper cites Computing optimal repairs for functional dependencies.

Data Management for Causal Algorithmic Fairness Computing optimal repairs for functional dependencies

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:22:41.524227Z

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 987b7928-dd81-482c-b7b8-f546360f2171 · outbound

This paper cites Causal Reasoning for Algorithmic Fairness.

Data Management for Causal Algorithmic Fairness Causal Reasoning for Algorithmic Fairness

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-14T12:22:40.975775Z

Source-reported events for the cited work

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Observation f5c975f8-a8c1-416f-92b4-c0bd379658d4 · outbound

This paper cites The complexity of causality and responsibility for query answers and non-answers.

Data Management for Causal Algorithmic Fairness The complexity of causality and responsibility for query answers and non-answers

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:22:41.508832Z

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 1819890d-67dd-46b7-805b-57d937c1c930 · outbound

This paper cites Distant supervision for relation extraction without labeled data.

Data Management for Causal Algorithmic Fairness Distant supervision for relation extraction without labeled data

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:22:41.493169Z

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 ef491d81-7453-4dff-b1b8-b183476941fc · outbound

This paper cites Fair inference on outcomes.

Data Management for Causal Algorithmic Fairness Fair inference on outcomes

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:22:41.478630Z

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 6ac1742c-1fdb-4e93-8698-9af9afe3884d · outbound

This paper cites Causality: models, reasoning, and inference.

Data Management for Causal Algorithmic Fairness Causality: models, reasoning, and inference

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:22:41.464295Z

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 fc891978-842c-4eb2-871c-fcadaa605dd4 · outbound

This paper cites Causality.

Data Management for Causal Algorithmic Fairness Causality

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-14T12:22:40.997666Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 846e6213-cc21-46fb-bd38-6d3dd513aa0a · outbound

This paper cites Causal inference in statistics: An overview.

Data Management for Causal Algorithmic Fairness Causal inference in statistics: An overview

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:22:41.436595Z

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 3c597ec0-6f9c-42d8-a72d-cae242350c1f · outbound

This paper cites A chase too far? In Proceedings of the 2000 ACM SIGMOD International Conference on Management of Data, May 16-18, 2000, Dallas, Texas, USA., pages 273–284, 2000.

Data Management for Causal Algorithmic Fairness A chase too far? In Proceedings of the 2000 ACM SIGMOD International Conference on Management of Data, May 16-18, 2000, Dallas, Texas, USA., pages 273–284, 2000

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:22:41.420236Z

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 ffc33f19-44c5-4de5-972a-df562459825d · outbound

This paper cites Snorkel: Rapid training data creation with weak supervision.

Data Management for Causal Algorithmic Fairness Snorkel: Rapid training data creation with weak supervision

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:22:41.406218Z

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 200f2669-fe58-4008-9af0-7620c10ea46c · outbound

This paper cites Data programming: Creating large training sets, quickly.

Data Management for Causal Algorithmic Fairness Data programming: Creating large training sets, quickly

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:22:41.392377Z

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 dbc8c286-deae-4742-ab50-772bbfdde592 · outbound

This paper cites Learning from crowds.

Data Management for Causal Algorithmic Fairness Learning from crowds

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:22:41.378261Z

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 e6f85bfe-e178-4c74-a37b-6a17c25c4b16 · outbound

This paper cites A formal approach to ﬁnding explanations for database queries.

Data Management for Causal Algorithmic Fairness A formal approach to ﬁnding explanations for database queries

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:22:41.363070Z

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 0750ead4-d268-4186-8123-67bc9a2eff79 · outbound

This paper cites The Use of Matched Sampling and Regression Adjustment in Observational Studies.

Data Management for Causal Algorithmic Fairness The Use of Matched Sampling and Regression Adjustment in Observational Studies

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:22:41.348419Z

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 2fac0b42-e1ff-4c81-8825-39b23f112fff · outbound

This paper cites Statistics and causal inference: Comment: Which ifs have causal answers.

Data Management for Causal Algorithmic Fairness Statistics and causal inference: Comment: Which ifs have causal answers

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:22:41.335338Z

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 e36ef26f-f89f-4f64-bfc0-2b6a3347a20e · outbound

This paper cites Comment: The design and analysis of gold standard randomized experiments.

Data Management for Causal Algorithmic Fairness Comment: The design and analysis of gold standard randomized experiments

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:22:41.321378Z

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 0c51c7c3-6aa1-45cd-b05a-39d0f3280606 · outbound

This paper cites When worlds collide: integrating different counter- factual assumptions in fairness.

Data Management for Causal Algorithmic Fairness When worlds collide: integrating different counter- factual assumptions in fairness

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:22:41.307518Z

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 1727bebb-cba0-4d2f-a7ff-1ca3321d0814 · outbound

This paper cites Bertossi.

Data Management for Causal Algorithmic Fairness Bertossi

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:22:41.293245Z

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 bf810650-7ee1-4aca-a61d-88fb467cf934 · outbound

This paper cites Quantifying causal effects on query answering in databases.

Data Management for Causal Algorithmic Fairness Quantifying causal effects on query answering in databases

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:22:41.279294Z

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 61b88ca3-76fd-404d-aa41-3315af71405c · outbound

This paper cites Hypdb: a demonstration of detecting, explain- ing and resolving bias in olap queries.

Data Management for Causal Algorithmic Fairness Hypdb: a demonstration of detecting, explain- ing and resolving bias in olap queries

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:22:41.265055Z

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 6404b51d-33e3-4a1e-bdfb-5e9811629fb3 · outbound

This paper cites Bias in olap queries: Detection, explanation, and removal.

Data Management for Causal Algorithmic Fairness Bias in olap queries: Detection, explanation, and removal

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:22:41.249260Z

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 a6bda83d-1e19-49fc-ae07-1759c8988c01 · outbound

This paper cites Capuchin: Causal Database Repair for Algorithmic Fairness.

Data Management for Causal Algorithmic Fairness Capuchin: Causal Database Repair for Algorithmic Fairness

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-14T12:22:41.070592Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 38c1899c-d72b-4037-b7b0-673f43fe64b4 · outbound

This paper cites Interventional fairness: Causal database repair for algorithmic fairness.

Data Management for Causal Algorithmic Fairness Interventional fairness: Causal database repair for algorithmic fairness

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:22:41.234200Z

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 f964c4cf-f0d1-42f5-a31d-a45e360f6c9c · outbound

This paper cites The problem of infra-marginality in outcome tests for discrimination.

Data Management for Causal Algorithmic Fairness The problem of infra-marginality in outcome tests for discrimination

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:22:41.218814Z

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 5c621dd7-c05c-47eb-9b93-78b897cc6dc6 · outbound

This paper cites Fairness deﬁnitions explained.

Data Management for Causal Algorithmic Fairness Fairness deﬁnitions explained

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:22:41.204192Z

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 e104ce18-5875-4b16-9522-29178b04acf8 · outbound

This paper cites Provenance analysis for missing answers and integrity repairs.

Data Management for Causal Algorithmic Fairness Provenance analysis for missing answers and integrity repairs

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:22:41.189527Z

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 b5ce3201-5539-4c15-bae1-3db23e93a67d · outbound

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

Data Management for Causal Algorithmic Fairness Fairness beyond dis- parate treatment & disparate impact: Learning classiﬁcation without disparate mistreatment

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:22:41.175194Z

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 e3fd1854-def7-41a7-bb10-c8e804f755f3 · outbound

This paper cites A survey on measuring indirect discrimination in machine learning.

Data Management for Causal Algorithmic Fairness A survey on measuring indirect discrimination in machine learning

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-14T12:22:41.095837Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 4fe2c370-58af-490c-bb9a-9a0ca2c0b8b6 · inbound

Software Fairness: An Analysis and Survey cites this paper.

Software Fairness: An Analysis and Survey Data Management for Causal Algorithmic Fairness

Reference 112

Resolution: verified exact; arxiv_id, observed 2026-05-24T12:06:10.994194Z

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 da7d6277-5773-4769-b2be-28ed6b476bfc · inbound

Fair-Count-Min: Frequency Estimation under Equal Group-wise Approximation Factor cites this paper.

Fair-Count-Min: Frequency Estimation under Equal Group-wise Approximation Factor Data Management for Causal Algorithmic Fairness

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-07T14:28:38.438757Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fec92d25-faaa-447b-9e7a-37e16d3b1e5f · inbound

The Fair Game: Auditing & Debiasing AI Algorithms Over Time cites this paper.

The Fair Game: Auditing & Debiasing AI Algorithms Over Time Data Management for Causal Algorithmic Fairness

Reference 110

Resolution: unresolved; no resolver link, observed 2026-08-05T22:45:20.746216Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.