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Paper Citation Record · LEDGER

Differential Adjusted Parity for Learning Fair Representations

As of 21 August 2026, this Paper Citation Record lists 22 of 22 outbound references and 0 inbound Pith citation observations for arXiv:2502.09765.

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

pith.paper-citation-record.v1
2502.09765 v2

Coverage vector

measured 22 of 22 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T20:42:04.419039Z

measured 22 of 22 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

22 of 22 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 2437a5a1-0acf-4e63-ba62-cca8b9571c81 · outbound

This paper cites Wasserstein generative adversarial networks.

Differential Adjusted Parity for Learning Fair Representations Wasserstein generative adversarial networks

Reference 1

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verified fuzzy
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Source-reported events for the cited work

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Observation 6e1ffbae-686a-44cf-9820-79a91c0bd490 · outbound

This paper cites It's COMPASlicated: The Messy Relationship between RAI Datasets and Algorithmic Fairness Benchmarks.

Differential Adjusted Parity for Learning Fair Representations It's COMPASlicated: The Messy Relationship between RAI Datasets and Algorithmic Fairness Benchmarks

Reference 2

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Source-reported events for the cited work

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Observation 6f34c7df-938a-43f1-9bd3-759061e1460a · outbound

This paper cites Barocas and A.

Differential Adjusted Parity for Learning Fair Representations Barocas and A

Reference 3

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Source-reported events for the cited work

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Observation ab544f48-7990-4705-bda7-4b99e7ec13e4 · outbound

This paper cites Bengio, A.

Differential Adjusted Parity for Learning Fair Representations Bengio, A

Reference 4

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation f8558f08-61f2-464a-97ca-4bfcf7947091 · outbound

This paper cites Chouldechova.

Differential Adjusted Parity for Learning Fair Representations Chouldechova

Reference 5

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 10380e51-e187-40f3-9c91-e8ce6a14695f · outbound

This paper cites Crawford and R.

Differential Adjusted Parity for Learning Fair Representations Crawford and R

Reference 6

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 2fcb8f12-c364-41f2-849f-2fde81cc109e · outbound

This paper cites Compas risk scales: Demonstrating accuracy, equity, and predictive parity, 2016.

Differential Adjusted Parity for Learning Fair Representations Compas risk scales: Demonstrating accuracy, equity, and predictive parity, 2016

Reference 7

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation cf4d02d6-6144-4a51-9ecf-8596cdbba448 · outbound

This paper cites Uci machine learning repository, 2017.

Differential Adjusted Parity for Learning Fair Representations Uci machine learning repository, 2017

Reference 8

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 69ff06f4-2fdc-48b2-8feb-ca20f1151cf4 · outbound

This paper cites Dwork, M.

Differential Adjusted Parity for Learning Fair Representations Dwork, M

Reference 9

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation f356f5b1-6f34-4005-a28a-f3435b94a218 · outbound

This paper cites Fair representations by compression.

Differential Adjusted Parity for Learning Fair Representations Fair representations by compression

Reference 10

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 72095dfd-ca2e-4f27-b5eb-9e56453ab1b6 · outbound

This paper cites Grgi´c-Hlaˇca, M.

Differential Adjusted Parity for Learning Fair Representations Grgi´c-Hlaˇca, M

Reference 11

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation a08aa905-ae0a-4162-88a0-871e8be34d60 · outbound

This paper cites Hardt, E.

Differential Adjusted Parity for Learning Fair Representations Hardt, E

Reference 12

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 6f022427-cf77-451c-adcf-e0f7701a52fc · outbound

This paper cites Equality of opportunity in supervised learning.

Differential Adjusted Parity for Learning Fair Representations Equality of opportunity in supervised learning

Reference 13

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation e1955ae1-3625-4d98-adfa-dc5775c48219 · outbound

This paper cites Transferlearning_verifyfairness.

Differential Adjusted Parity for Learning Fair Representations Transferlearning_verifyfairness

Reference 14

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Source-reported events for the cited work

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Observation bd298361-fe2c-40c8-93fb-e5b9735c8728 · outbound

This paper cites The variational fair autoencoder.

Differential Adjusted Parity for Learning Fair Representations The variational fair autoencoder

Reference 15

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation c2360e42-e333-4291-bac5-5aedebb1aa67 · outbound

This paper cites Learning adversarially fair and transferable representations.

Differential Adjusted Parity for Learning Fair Representations Learning adversarially fair and transferable representations

Reference 16

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation e031c1b2-1a39-42ed-b168-8e361c617146 · outbound

This paper cites Learning fair representations by separating the relevance of potential information.

Differential Adjusted Parity for Learning Fair Representations Learning fair representations by separating the relevance of potential information

Reference 17

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 14d4eb9d-4790-4987-b6b6-1e712bae7611 · outbound

This paper cites Learning fair representations for accuracy parity.

Differential Adjusted Parity for Learning Fair Representations Learning fair representations for accuracy parity

Reference 18

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation dd916a78-c44b-434c-9c1f-7b7004383bae · outbound

This paper cites V owels, N.

Differential Adjusted Parity for Learning Fair Representations V owels, N

Reference 19

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 58f34e90-436c-44f6-a1c8-80e5079648f0 · outbound

This paper cites Zhang, B.

Differential Adjusted Parity for Learning Fair Representations Zhang, B

Reference 20

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation d9bb6529-ed6c-496c-a3c8-37f864f805cd · outbound

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Differential Adjusted Parity for Learning Fair Representations Unresolved cited work

Reference 21

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Observation 983bb04a-59bc-4081-ad8a-796801202fac · outbound

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Differential Adjusted Parity for Learning Fair Representations Unresolved cited work

Reference 2016

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Pith citing papers

No inbound Pith citation observations are available.