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Paper Citation Record · LEDGER

It's COMPASlicated: The Messy Relationship between RAI Datasets and Algorithmic Fairness Benchmarks

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2106.05498.

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

pith.paper-citation-record.v1
2106.05498 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 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 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T12:37:46.325164Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T21:00:10.006939Z

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 6c806678-5c19-4129-a80d-ba8bad9bb30f · inbound

Mind the Gap: Optimal and Equitable Encouragement Policies cites this paper.

Mind the Gap: Optimal and Equitable Encouragement Policies It's COMPASlicated: The Messy Relationship between RAI Datasets and Algorithmic Fairness Benchmarks

Reference 10

Resolution
verified exact
arxiv_id, observed 2026-05-24T06:59:02.834222Z

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=arxiv_source observed=2026-05-24T06:58:26.715382Z digest=sha256:932966895f0513841c5515de14e0c139469c9b5181a4a863781284702a5256d5

Observation a3df908b-55dc-4670-8316-45ced7a3d890 · inbound

Sample Complexity of Bias Detection with Subsampled Point-to-Subspace Distances cites this paper.

Sample Complexity of Bias Detection with Subsampled Point-to-Subspace Distances It's COMPASlicated: The Messy Relationship between RAI Datasets and Algorithmic Fairness Benchmarks

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-09T12:37:46.325164Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T12:37:46.325164Z digest=sha256:d2a23139b211b15336bd6314f84b045a579c2cda22bc7e487985a51e7681d52d

Observation daa8d07b-660c-4e6a-b008-0f38dba07b34 · inbound

Can We Trust AI Benchmarks? An Interdisciplinary Review of Current Issues in AI Evaluation cites this paper.

Can We Trust AI Benchmarks? An Interdisciplinary Review of Current Issues in AI Evaluation It's COMPASlicated: The Messy Relationship between RAI Datasets and Algorithmic Fairness Benchmarks

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-08T15:06:54.749660Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T15:06:54.749660Z digest=sha256:325c5e99ff3b7b269da7c050a298cdaa1245875050a493c0d077689c27c669d7

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

Differential Adjusted Parity for Learning Fair Representations cites this paper.

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

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-07T20:42:04.333293Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T20:42:04.333293Z digest=sha256:b4a327f961bf434a750dacecfa0f8feff4a0adfd711362977cab56e6a134f100

Observation a046262d-9d56-4ef8-9fd5-f0e1c23884d4 · inbound

FairPOT: Balancing AUC Performance and Fairness with Proportional Optimal Transport cites this paper.

FairPOT: Balancing AUC Performance and Fairness with Proportional Optimal Transport It's COMPASlicated: The Messy Relationship between RAI Datasets and Algorithmic Fairness Benchmarks

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-06T01:01:39.124740Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T01:01:39.124740Z digest=sha256:c1c818c5d9cfab33317fefb156f968ccea082b994c318e1b61daba6c42d49e7d

Observation 03a124bf-b237-413d-a1b2-257ed3aa332b · inbound

Falsifying Discriminant Validity of Predictive Algorithms cites this paper.

Falsifying Discriminant Validity of Predictive Algorithms It's COMPASlicated: The Messy Relationship between RAI Datasets and Algorithmic Fairness Benchmarks

Reference 2021

Resolution
unresolved
no resolver link, observed 2026-08-03T08:32:32.379352Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T08:32:32.379352Z digest=sha256:546286ba9d3a8cb6210f52b22a065c915793f1208420e9dfa715add364b20a9f

Observation 6866b3e1-04f8-47ee-8af9-f4b84c8c4a65 · inbound

Model Multiplicity and Predictive Arbitrariness in Recidivism Risk Assessment cites this paper.

Model Multiplicity and Predictive Arbitrariness in Recidivism Risk Assessment It's COMPASlicated: The Messy Relationship between RAI Datasets and Algorithmic Fairness Benchmarks

Reference 29

Resolution
verified exact
arxiv_id, observed 2026-07-01T22:06:16.720767Z

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=arxiv_source observed=2026-06-28T15:43:50.928377Z digest=sha256:0a8ac65f04f5e2016b9adc56028d5ec89abc483be9018b19b530b13445f5b9ee

Observation 6636fb47-468f-40fc-9d37-17b8366fd09e · inbound

Bridging Predictions and Interventions: An Integrated Framework for Automated Decision-Systems cites this paper.

Bridging Predictions and Interventions: An Integrated Framework for Automated Decision-Systems It's COMPASlicated: The Messy Relationship between RAI Datasets and Algorithmic Fairness Benchmarks

Reference 2

Resolution
verified exact
arxiv_id, observed 2026-07-04T21:00:10.008381Z

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=2026-06-25T19:07:27.148250Z digest=sha256:d33b5d197ed16a86ce09e8ff60134ee86000b657f98907a7f6a669bade53ca27