Pith. sign in

Paper Citation Record · LEDGER

Projection to Fairness in Statistical Learning

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 12 inbound Pith citation observations for arXiv:2005.11720.

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

pith.paper-citation-record.v1
2005.11720 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 12 of 12 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 12 of 12 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T21:11:25.269174Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-29T10:13:17.749798Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation f3da111c-e6b7-4438-a43f-ba947b26efd0 · inbound

Optimisation Strategies for Ensuring Fairness in Machine Learning: With and Without Demographics cites this paper.

Optimisation Strategies for Ensuring Fairness in Machine Learning: With and Without Demographics Projection to Fairness in Statistical Learning

Reference 86

Resolution
unresolved
no resolver link, observed 2026-08-12T21:11:25.269174Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T21:11:25.269174Z digest=sha256:628ddbdd920ab63b83801a3222e2a939a7e6ad3b1c8805f05a1b6149b451d502

Observation 76e9f876-1c67-4535-b019-ff3b60d32bf9 · inbound

Machine Unlearning via Information Theoretic Regularization cites this paper.

Machine Unlearning via Information Theoretic Regularization Projection to Fairness in Statistical Learning

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-08T18:31:20.680930Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T18:31:20.680930Z digest=sha256:30b42020e70c6d738ce9b371e466812b370301c9c99ecfb1dbf85b301a15c6f5

Observation 7391cec6-00ed-4475-9a29-a3585a038143 · inbound

Distributional Limit Theory for Optimal Transport cites this paper.

Distributional Limit Theory for Optimal Transport Projection to Fairness in Statistical Learning

Reference 64

Resolution
unresolved
no resolver link, observed 2026-08-07T14:27:20.071767Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:27:20.071767Z digest=sha256:c170ebc2b31bc22a7096e0e66c7cc2e908baa65cfe4b1ecb751e9fdb764b7a64

Observation e455abdd-db6a-44a0-b743-067c00ecafad · inbound

Computing Optimal Transport Maps and Wasserstein Barycenters Using Conditional Normalizing Flows cites this paper.

Computing Optimal Transport Maps and Wasserstein Barycenters Using Conditional Normalizing Flows Projection to Fairness in Statistical Learning

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-07T13:16:00.629874Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:16:00.629874Z digest=sha256:607d1d844ce123d8e9ab517a352c502a9bcd68795a46a3b883bf23910176a06e

Observation 262298a2-b1a3-4771-9ae7-ef4264a48979 · inbound

Fairness-Aware Grouping for Continuous Sensitive Variables: Application for Debiasing Face Analysis with respect to Skin Tone cites this paper.

Fairness-Aware Grouping for Continuous Sensitive Variables: Application for Debiasing Face Analysis with respect to Skin Tone Projection to Fairness in Statistical Learning

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-06T17:19:53.911083Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:19:53.911083Z digest=sha256:f9a9715c49edaa31a2b98f393456a7aa240e0c8cbbf8c2a264a1d1e0e6af2e14

Observation d8ca113a-0422-41f6-a131-62ee0fe40f29 · inbound

Federated Calculation of the Free-Support Transportation Barycenter by Single-Loop Dual Decomposition cites this paper.

Federated Calculation of the Free-Support Transportation Barycenter by Single-Loop Dual Decomposition Projection to Fairness in Statistical Learning

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-06T14:20:18.040374Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:20:18.040374Z digest=sha256:648226b993c02d67117946e6a34fd8c023311f66b2bd8176a02f321087653010

Observation 9e164493-4536-4a12-b931-4ddc33871955 · inbound

Group Fairness Meets the Black Box: Enabling Fair Algorithms on Closed LLMs via Post-Processing cites this paper.

Group Fairness Meets the Black Box: Enabling Fair Algorithms on Closed LLMs via Post-Processing Projection to Fairness in Statistical Learning

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-05T20:07:04.275082Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T20:07:04.275082Z digest=sha256:0d0f2abfad051830d3bb589d853c4e763804672bf4d60473dc8491e6c87489cb

Observation c29bc187-0ba0-40d0-9b42-14b04a725846 · inbound

Optimal Transport under Group Fairness Constraints cites this paper.

Optimal Transport under Group Fairness Constraints Projection to Fairness in Statistical Learning

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-03T11:18:04.524545Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T11:18:04.524545Z digest=sha256:42d9058e09eca5ba5d532ef87f224ffc8a9c1e6dbb3c84acbaae610e742fad2f

Observation 5c1ef949-aeb4-458c-ab48-3ba5cb8b99a4 · inbound

Geometry of Relaxed Fair Regression: A Unified Framework for Aware and Unaware Settings cites this paper.

Geometry of Relaxed Fair Regression: A Unified Framework for Aware and Unaware Settings Projection to Fairness in Statistical Learning

Reference 20

Resolution
verified exact
arxiv_id, observed 2026-06-29T10:13:17.751157Z

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=2026-06-29T10:09:41.727425Z digest=sha256:00fa8457c9a8d30883ff7d0805f141ee5b57312bf89df7f992075f337d8b4e53

Observation cab74205-5493-429b-9011-10b0e12b0b2a · inbound

Counterfactually Fair Regression via Optimal Transport cites this paper.

Counterfactually Fair Regression via Optimal Transport Projection to Fairness in Statistical Learning

Reference 25

Resolution
verified exact
arxiv_id, observed 2026-06-29T10:03:17.041173Z

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=2026-06-29T10:02:28.572006Z digest=sha256:dd28af108d087cd5d087d878e96774c4889e114c8de6d8cb24f09e9db1d2b4bb

Observation 9136b022-79f4-4078-b090-3580f938276a · inbound

Functional Bilevel Optimization for Predictive Fairness cites this paper.

Functional Bilevel Optimization for Predictive Fairness Projection to Fairness in Statistical Learning

Reference 27

Resolution
unresolved
no resolver link, observed 2026-07-11T08:52:08.656117Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T08:52:08.656117Z digest=sha256:cbe8336d2eb2c422f007530a3dadc351b063eec379678408c6a72767c15a10be

Observation cf8cd3d7-f124-49a1-94c4-2c71eb26e608 · inbound

OT-FairBoost: Optimal Transport-Guided Gradient Boosting for Fairness Regularization on Tabular Data cites this paper.

OT-FairBoost: Optimal Transport-Guided Gradient Boosting for Fairness Regularization on Tabular Data Projection to Fairness in Statistical Learning

Reference 5

Resolution
unresolved
no resolver link, observed 2026-07-31T20:25:02.127176Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T20:25:02.127176Z digest=sha256:eab1446f17348bfc5d1393c9ae96cf813908a62f0b3cdb25e7e91846d0d82bc8