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Paper Citation Record · LEDGER

Fairness with Continuous Optimal Transport

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2101.02084.

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

pith.paper-citation-record.v1
2101.02084 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 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 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T04:09:06.212483Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-29T10:03:17.045170Z

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 5ef60819-48f8-4974-ac87-890cc6e9c9af · inbound

Evaluating Fairness and Mitigating Bias in Machine Learning: A Novel Technique using Tensor Data and Bayesian Regression cites this paper.

Evaluating Fairness and Mitigating Bias in Machine Learning: A Novel Technique using Tensor Data and Bayesian Regression Fairness with Continuous Optimal Transport

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-07T04:09:06.212483Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:09:06.212483Z digest=sha256:cca1e4f495d477d2e2afd5466497aa71c0fd524b2d0897915c9942fda1102b3b

Observation a5be8560-9d93-444e-b607-cba475c633a3 · inbound

Counterfactually Fair Regression via Optimal Transport cites this paper.

Counterfactually Fair Regression via Optimal Transport Fairness with Continuous Optimal Transport

Reference 9

Resolution
verified exact
arxiv_id, observed 2026-06-29T10:03:17.046594Z

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.

source=pdf_text observed=2026-06-29T10:02:28.572006Z digest=sha256:1c2e7f4f910d66c08050c36b169c8517f75996215a0fc8357bdf88e73a2f0862