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Paper Citation Record · LEDGER

Biased Models Have Biased Explanations

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2012.10986.

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

pith.paper-citation-record.v1
2012.10986 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 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 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T16:36:09.517721Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-14T20:52:58.987922Z

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 44cc1aa5-8b73-4d2c-8ff6-70914ee10997 · inbound

MUPAX: Multidimensional Problem Agnostic eXplainable AI cites this paper.

MUPAX: Multidimensional Problem Agnostic eXplainable AI Biased Models Have Biased Explanations

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-06T16:36:09.517721Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:36:09.517721Z digest=sha256:0b4915f8e73aa19d9c8e77c0042b6f15fa33a6554cb0aba9ff50eca4971d1a92

Observation e10c2e24-fb36-4e4b-820b-c6e90e993e95 · inbound

Fairness of Explanations in Artificial Intelligence (AI): A Unifying Framework, Axioms, and Future Direction toward Responsible AI cites this paper.

Fairness of Explanations in Artificial Intelligence (AI): A Unifying Framework, Axioms, and Future Direction toward Responsible AI Biased Models Have Biased Explanations

Reference 30

Resolution
metadata mismatch
arxiv_id, observed 2026-05-12T05:41:25.449059Z

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=2026-05-12T05:04:40.193388Z digest=sha256:1749ec0453051a575d0269b03723e1347626a850bde440907f0c0be0e60c49ad

Observation 4670d559-1959-47f5-9881-07cfc003e003 · inbound

Do Fair Models Reason Fairly? Counterfactual Explanation Consistency for Procedural Fairness in Credit Decisions cites this paper.

Do Fair Models Reason Fairly? Counterfactual Explanation Consistency for Procedural Fairness in Credit Decisions Biased Models Have Biased Explanations

Reference 246

Resolution
verified exact
arxiv_id, observed 2026-05-14T20:52:58.990669Z

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=2026-05-14T20:50:02.096278Z digest=sha256:503e15fbcc7895094341c67827ca22cbbb4efb2fe2acb75457698e48b8d11ea7