Paper Citation Record · LEDGER

On Adversarial Bias and the Robustness of Fair Machine Learning

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2006.08669.

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

pith.paper-citation-record.v1
2006.08669 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:31:33.862634Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

37
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 02911bd7-6b57-4b95-9f30-a350a458689a · inbound

Covert Attacks on Machine Learning Training in Passively Secure MPC cites this paper.

Covert Attacks on Machine Learning Training in Passively Secure MPC On Adversarial Bias and the Robustness of Fair Machine Learning

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-07T15:31:33.862634Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7eb9a0ec-1495-4cf2-a080-57115adab175 · inbound

Multi-Dimensional Model Integrity and Responsibility Assessment Index and Scoring Framework cites this paper.

Multi-Dimensional Model Integrity and Responsibility Assessment Index and Scoring Framework On Adversarial Bias and the Robustness of Fair Machine Learning

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-05-15T01:59:38.876420Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation c6f529d1-e15a-4dc2-bf64-b2270304e630 · inbound

Toward Calibrated, Fair, and accurate Deepfake Detection cites this paper.

Toward Calibrated, Fair, and accurate Deepfake Detection On Adversarial Bias and the Robustness of Fair Machine Learning

Reference 276

Resolution: verified exact; arxiv_id, observed 2026-06-28T07:11:45.349032Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 4e375898-6364-4f7f-8b6c-f7e09caca7a0 · inbound

Hiding in Plain Sight: An Effective Physical Adversarial Patch Attack against Visual-Infrared Fused Face Detection cites this paper.

Hiding in Plain Sight: An Effective Physical Adversarial Patch Attack against Visual-Infrared Fused Face Detection On Adversarial Bias and the Robustness of Fair Machine Learning

Reference 215

Resolution: unresolved; no resolver link, observed 2026-07-31T23:55:43.770907Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.