Paper Citation Record · LEDGER

Conditional Contrastive Learning for Improving Fairness in Self-Supervised Learning

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2106.02866.

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

pith.paper-citation-record.v1
2106.02866 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T17:18:07.468327Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T21:18:58.012498Z

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 debccf15-16e5-451f-a25f-f12efeb2f9da · inbound

FAIRWELL: Fair Multimodal Self-Supervised Learning for Wellbeing Prediction cites this paper.

FAIRWELL: Fair Multimodal Self-Supervised Learning for Wellbeing Prediction Conditional Contrastive Learning for Improving Fairness in Self-Supervised Learning

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-05T17:18:07.468327Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ddd682d3-a242-4a58-b18f-71ab580e1558 · inbound

Bias In, Bias Out? Finding Unbiased Subnetworks in Vanilla Models cites this paper.

Bias In, Bias Out? Finding Unbiased Subnetworks in Vanilla Models Conditional Contrastive Learning for Improving Fairness in Self-Supervised Learning

Reference 60

Resolution: verified exact; arxiv_id, observed 2026-05-15T16:16:15.063566Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 05c71bb1-7c2e-4f6e-bf0e-14b7a45d1918 · inbound

MoMo: Conditioned Contrastive Representation Learning for Preference-Modulated Planning cites this paper.

MoMo: Conditioned Contrastive Representation Learning for Preference-Modulated Planning Conditional Contrastive Learning for Improving Fairness in Self-Supervised Learning

Reference 45

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T07:51:45.319641Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 462e5f4b-0a26-4328-a569-a0eec0c06ef9 · inbound

MoMo: Conditioned Contrastive Representation Learning for Preference-Modulated Planning cites this paper.

MoMo: Conditioned Contrastive Representation Learning for Preference-Modulated Planning Conditional Contrastive Learning for Improving Fairness in Self-Supervised Learning

Reference 45

Resolution: metadata mismatch; arxiv_id, observed 2026-05-15T06:09:50.079685Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation c192b3c0-c05d-45b7-912f-c4de51e73d0e · inbound

Contrast encodes inductive bias: separating slow noise from dynamics in predictive representation learning cites this paper.

Contrast encodes inductive bias: separating slow noise from dynamics in predictive representation learning Conditional Contrastive Learning for Improving Fairness in Self-Supervised Learning

Reference 13

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T16:27:09.636046Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 2d5e207c-db0b-41b5-a822-cb8b47f9c933 · inbound

Multi-Objective Exploration and Preference Optimization via Mutual Information cites this paper.

Multi-Objective Exploration and Preference Optimization via Mutual Information Conditional Contrastive Learning for Improving Fairness in Self-Supervised Learning

Reference 111

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T21:18:58.013951Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation e015ed0a-f1f9-4d1a-9665-8f1afb206094 · inbound

Multi-Objective Exploration and Preference Optimization via Mutual Information cites this paper.

Multi-Objective Exploration and Preference Optimization via Mutual Information Conditional Contrastive Learning for Improving Fairness in Self-Supervised Learning

Reference 25

Resolution: unresolved; no resolver link, observed 2026-07-12T08:52:34.039089Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.