Paper Citation Record · LEDGER

EvoXplain: When Machine Learning Models Agree on Predictions but Disagree on Why -- Measuring Mechanistic Multiplicity Across Training Runs

As of 10 August 2026, this Paper Citation Record lists 4 of 4 outbound references and 0 inbound Pith citation observations for arXiv:2512.22240.

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

pith.paper-citation-record.v1
2512.22240 v5

Coverage vector

measured 4 of 4 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-03T14:26:12.977314Z

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

4 of 4 outbound references displayed

verified exact0
verified fuzzy0
unresolved4
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 0455bc66-932a-4e9b-89b2-7b9da8519826 · outbound

This paper cites Cynthia Rudin.

EvoXplain: When Machine Learning Models Agree on Predictions but Disagree on Why -- Measuring Mechanistic Multiplicity Across Training Runs Cynthia Rudin

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-03T14:26:12.827368Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c962b576-d439-4ba0-81d4-326e31c1a06f · outbound

This paper cites Predictive multiplicity in algorithmic fairness: Wrestling with a wicked problem.

EvoXplain: When Machine Learning Models Agree on Predictions but Disagree on Why -- Measuring Mechanistic Multiplicity Across Training Runs Predictive multiplicity in algorithmic fairness: Wrestling with a wicked problem

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-03T14:26:12.977314Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4d2b496d-b54c-4b7b-ad2b-c257170276fd · outbound

This paper cites The BIG Argument for AI Safety Cases.

EvoXplain: When Machine Learning Models Agree on Predictions but Disagree on Why -- Measuring Mechanistic Multiplicity Across Training Runs The BIG Argument for AI Safety Cases

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-08-03T14:26:12.726764Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation be1b35b7-91dd-4124-b367-306287f9436b · outbound

This paper cites an unresolved cited work.

EvoXplain: When Machine Learning Models Agree on Predictions but Disagree on Why -- Measuring Mechanistic Multiplicity Across Training Runs Unresolved cited work

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-03T14:26:12.693050Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.