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Paper Citation Record · LEDGER

Data Management for Causal Algorithmic Fairness

As of 21 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 2026-08-20T06:33:59.587034+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

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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

This paper cites Bertossi.

Data Management for Causal Algorithmic Fairness Bertossi

Reference 6

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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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

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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 2026-08-20T06:33:59.587034+00:00.

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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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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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

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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

This paper cites Fairness through awareness.

Data Management for Causal Algorithmic Fairness Fairness through awareness

Reference 12

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-14T12:22:40.938586Z digest=sha256:361c926c726a3815bcbb3fbace1617ea93ac30ea7e6938f99bfa86d688cd1a8d

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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-14T12:22:40.943013Z digest=sha256:eecbbada4c025eac485f03836487ca8093fc630f00aced0b23dc0f0aafcbedde

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

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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 2026-08-20T06:33:59.587034+00:00.

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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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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

This paper cites Counterfactual fairness.

Data Management for Causal Algorithmic Fairness Counterfactual fairness

Reference 17

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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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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no resolver link, observed 2026-08-14T12:22:40.959103Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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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

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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 2026-08-20T06:33:59.587034+00:00.

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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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T12:22:40.975775Z digest=sha256:4734c60752bc4d809380dcad3cfb164f5807091c157b59bcced3231f841f111a

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

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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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-14T12:22:40.980704Z digest=sha256:f0f6f40903df954fffbb0a6553e2f1a50607087978535cfe45132b461f831626

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

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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 2026-08-20T06:33:59.587034+00:00.

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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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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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

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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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-14T12:22:40.993429Z digest=sha256:bdf725b42113bfb1ab700e802a93db061b59fc2dcd9bc003dd21b70860d7781b

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.

source=pdf_text observed=2026-08-14T12:22:40.997666Z digest=sha256:02ab5187f6174abbb2236c59cf4a645e911fdd31423483dfefa2ed3045c61f8f

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

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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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-14T12:22:41.003047Z digest=sha256:189d853ab1e1a236d3e97bbc3f8c17fe5ac48dd413f5bfebcb673e3a75b18d1e

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
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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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-14T12:22:41.007687Z digest=sha256:2020168d1c695b359f027dc2248b4aa81a517f3a68292e0a7c79a22fcad0e252

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

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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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-14T12:22:41.011857Z digest=sha256:f39ef0a020789d878daa2b40e25f2c647910615c58bd59c000cfe5a9e79c27e1

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

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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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-14T12:22:41.016071Z digest=sha256:87cd3fe588133877990154a85975dddc56d01c82cc0c0f372b869dedb34397d1

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
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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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-14T12:22:41.020237Z digest=sha256:fd17ae13f67f2ff8c7c4de5c60dd7e6d1742894bc631c340cee67661b71a672b

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
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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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-14T12:22:41.031063Z digest=sha256:c22c3fe2b54c5e2f9e690c6bd94d16c70d92166f80db36309c36f7a661ae7ab2

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
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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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-14T12:22:41.035923Z digest=sha256:788478243bcbc80f21b37c1ba9bcb8ed0452c5fc2413f07db4f9a9477adcbf7e

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

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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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-14T12:22:41.040770Z digest=sha256:3f64e09eaf679adfec989faccc541df3c5da9d1d742eccabc27dbd3c4bb7981e

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

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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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-14T12:22:41.045523Z digest=sha256:d27896b13201604fdb7a6cdbbb92dc6d1d2af4ec27c57742c342000b4c416815

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-14T12:22:41.049846Z digest=sha256:20b058e734d31d0d286d31a48069fe55a2a6f9c5a7d908cbc797c44c67b6d584

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-14T12:22:41.054524Z digest=sha256:3b5a9928f2efea241c19b0283bd27d3dfc1102b6651e568fad1b2702ed6c1ad9

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-14T12:22:41.058383Z digest=sha256:88bca3eda5825bc887b79a2bf5dd454a335f8a675edb72611fbbc64c08147d17

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-14T12:22:41.062263Z digest=sha256:4e82103af27f20f50f7d1cba5daf918f4a0dad1d4f5858d222ab39393502435f

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-14T12:22:41.066626Z digest=sha256:6bae5372f0650265b95b906cd108aa1e18aac136f38968433360a5a63e02de6b

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.

source=pdf_text observed=2026-08-14T12:22:41.070592Z digest=sha256:777487cdcacc95257aafb03ba183eecdbd7d3a4fc5cb21edcb1ac334cb7e56e9

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-14T12:22:41.075289Z digest=sha256:38e83fab0cc154a5323ed9cb5f488478414871bf7f7f30510dfb47d12c718fc1

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-14T12:22:41.079515Z digest=sha256:e2bebc85732f278945793a26f71679237d93b9ae51de169d1469d33dc2bbc0cb

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-14T12:22:41.083599Z digest=sha256:0e0c99708b573e6b0fd7fa8b66e8c39b7c5ebf66e816f84b7d505f209db688bb

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-14T12:22:41.087659Z digest=sha256:2cd4347bbf346683b56d55b69a5b6d614c9a8d12cb0d2bd983c9861aa18b3607

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-14T12:22:41.091677Z digest=sha256:776ccd64479275df4f77e97dbd09df6bf50533845c1017d38113c67a467634c7

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.

source=pdf_text observed=2026-08-14T12:22:41.095837Z digest=sha256:f487e234b2b4451ca4ee98818b77aa11f91b01e90ed8e584616696424da50364

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-24T12:04:40.732437Z digest=sha256:42c6c08b4dc22697928c20a519f1f7a8b0ccd253e560bb6a4a30af02f396a5c8

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.

source=pdf_text observed=2026-08-07T14:28:38.438757Z digest=sha256:f5e31ae657ad93d4681fc2d4a6cc71611929aef18685f874402334d2d448e236

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.

source=arxiv_source observed=2026-08-05T22:45:20.746216Z digest=sha256:0a59e220bbea849107c3c92db479523c5cc03e99fb8301f4922dae1bbbdb4067