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Paper Citation Record · LEDGER

Retiring Adult: New Datasets for Fair Machine Learning

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2108.04884.

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

pith.paper-citation-record.v1
2108.04884 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 2026-08-21T06:32:19.484+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T14:14:09.070435Z

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

3
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 b1731622-ac80-4274-a663-ba213a473dc6 · inbound

"All that Glitters": Approaches to Evaluations with Unreliable Model and Human Annotations cites this paper.

"All that Glitters": Approaches to Evaluations with Unreliable Model and Human Annotations Retiring Adult: New Datasets for Fair Machine Learning

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-12T14:14:09.070435Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T14:14:09.070435Z digest=sha256:208dfcbcfcee767d9c932a0ee3552bef3b01caf76374406e11a220781fac10ea

Observation 5fc4c2bd-a98f-4a72-b72e-81fcff9982b6 · inbound

Rashomon Sets and Model Multiplicity in Federated Learning cites this paper.

Rashomon Sets and Model Multiplicity in Federated Learning Retiring Adult: New Datasets for Fair Machine Learning

Reference 16

Resolution
verified exact
arxiv_id, observed 2026-05-16T03:22:12.852006Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-16T03:21:50.223386Z digest=sha256:3ce58da0783f1f5369b33298473ef54258b3b1e3e6265b0904a584d22362e230

Observation 05f891dc-0e8f-4aab-a583-60ca4948219b · inbound

Anytime PAC-Bayes for Constrained Density-Ratio Networks under Covariate Shift cites this paper.

Anytime PAC-Bayes for Constrained Density-Ratio Networks under Covariate Shift Retiring Adult: New Datasets for Fair Machine Learning

Reference 5

Resolution
verified exact
arxiv_id, observed 2026-05-20T15:03:24.755876Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-20T15:00:07.677035Z digest=sha256:f9c5e204fb5ad69ca7e4072fd2a1a1da572356d30c4d72223135f62237e4f7f0

Observation 6f085bae-9406-432a-9d9d-1fe52a030691 · inbound

Anytime PAC-Bayes for Constrained Density-Ratio Networks under Covariate Shift cites this paper.

Anytime PAC-Bayes for Constrained Density-Ratio Networks under Covariate Shift Retiring Adult: New Datasets for Fair Machine Learning

Reference 5

Resolution
verified exact
arxiv_id, observed 2026-05-25T05:55:24.154246Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-25T05:54:14.572486Z digest=sha256:767fc4e7cf95e3dc93deb77891bc854ec965947664b5315086562ec48b121da1

Observation 46a99d6c-b22c-4336-9cb7-71b9394ec051 · inbound

Anytime PAC-Bayes for Constrained Density-Ratio Networks under Covariate Shift cites this paper.

Anytime PAC-Bayes for Constrained Density-Ratio Networks under Covariate Shift Retiring Adult: New Datasets for Fair Machine Learning

Reference 5

Resolution
verified exact
arxiv_id, observed 2026-07-01T14:55:47.447361Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-06-30T19:17:11.290757Z digest=sha256:2c1d410dfb689377523a15b622ac3ebca5369f9a7419c427a011bcd946f9de65

Observation 865b6315-ad43-4841-9ea5-ad8a076288b0 · inbound

Linear Strategic Classification with Endogenous Improvements cites this paper.

Linear Strategic Classification with Endogenous Improvements Retiring Adult: New Datasets for Fair Machine Learning

Reference 13

Resolution
verified exact
arxiv_id, observed 2026-06-28T18:02:27.176805Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-06-28T17:54:27.621575Z digest=sha256:1691429fac90252e2a51967840ee983d6890665eb48c2616b85a1dab6c9c73e5

Observation 91d50e70-5601-4b5f-a098-50420c7c8828 · inbound

Linear Strategic Classification with Endogenous Improvements cites this paper.

Linear Strategic Classification with Endogenous Improvements Retiring Adult: New Datasets for Fair Machine Learning

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-02T12:44:42.859697Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T12:44:42.859697Z digest=sha256:e1a2800bf1cc0645828e9d077f78b3f82af77fdfc1032f835d8c9fbe6f27464a

Observation 1611e1d9-ab55-4ef0-88b6-d466cdd83724 · inbound

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

Toward Calibrated, Fair, and accurate Deepfake Detection Retiring Adult: New Datasets for Fair Machine Learning

Reference 137

Resolution
verified exact
arxiv_id, observed 2026-06-28T07:11:44.971091Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-06-28T07:05:18.026601Z digest=sha256:0c326bd497d66d39ad517f62baf39d60815a5b1d474ea7be916dcdd1ddf48209