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Paper Citation Record · LEDGER

FairLogue: A Toolkit for Intersectional Fairness Analysis in Clinical Machine Learning Models

As of 11 August 2026, this Paper Citation Record lists 21 of 21 outbound references and 1 inbound Pith citation observation for arXiv:2604.04858.

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

pith.paper-citation-record.v1
2604.04858 v1

Coverage vector

measured 21 of 21 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-10T20:11:04.940371Z

measured 22 of 22 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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-13T05:33:08.548804Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

21 of 21 outbound references displayed

  • verified exact4
  • verified fuzzy2
  • unresolved15
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 751abb38-a207-46f2-90d1-3619bfd459f3 · outbound

This paper cites Bias Mitigation for Machine Learning Classifiers: A Comprehensive Survey.

FairLogue: A Toolkit for Intersectional Fairness Analysis in Clinical Machine Learning Models Bias Mitigation for Machine Learning Classifiers: A Comprehensive Survey

Reference 1

Resolution
verified exact
arxiv_id, observed 2026-05-10T22:10:49.037864Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-10T20:11:04.940371Z digest=sha256:dcf507235a011b338bd08c993dcadb0685d2c24c7e5f951c6f463cc47f4e2224

Observation b49b11a3-e9f9-4efd-86f4-3443ef5e36ca · outbound

This paper cites an unresolved cited work.

FairLogue: A Toolkit for Intersectional Fairness Analysis in Clinical Machine Learning Models Unresolved cited work

Reference 2

Resolution
unresolved
raw_fallback, observed 2026-05-16T02:12:07.953791Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-10T20:11:04.940371Z digest=sha256:6494da94146fa0753ae77e7974ca7c7df83f55ba595724e9926eb7ad5511bd92

Observation 8ad594ca-5b5c-48c8-878c-61fddcd60076 · outbound

This paper cites an unresolved cited work.

FairLogue: A Toolkit for Intersectional Fairness Analysis in Clinical Machine Learning Models Unresolved cited work

Reference 3

Resolution
unresolved
raw_fallback, observed 2026-05-16T02:12:07.983505Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-10T20:11:04.940371Z digest=sha256:eab0b00430ab58b95225d611f111314912f5531cf0be6124d3b9dfb2ee58949e

Observation 92eb0625-8f30-41be-91bd-164298f92887 · outbound

This paper cites ACM SIGKDD (2022) 1452--1462.

FairLogue: A Toolkit for Intersectional Fairness Analysis in Clinical Machine Learning Models ACM SIGKDD (2022) 1452--1462

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T02:12:07.976082Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-10T20:11:04.940371Z digest=sha256:db9ef6d1375e227948fbd0920da266c39206d46af04bf43c0911f7902cd8cad9

Observation 659d7d7b-3bd7-4053-b631-33705cb4d7f8 · outbound

This paper cites an unresolved cited work.

FairLogue: A Toolkit for Intersectional Fairness Analysis in Clinical Machine Learning Models Unresolved cited work

Reference 5

Resolution
unresolved
raw_fallback, observed 2026-05-16T02:12:07.958126Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-10T20:11:04.940371Z digest=sha256:fbc64788f89989aef2efd754f9a40a4bb8c8e780a4654ca465d351df1f8ccb41

Observation 84250b14-6475-484e-8b8d-f6a45ed39474 · outbound

This paper cites an unresolved cited work.

FairLogue: A Toolkit for Intersectional Fairness Analysis in Clinical Machine Learning Models Unresolved cited work

Reference 6

Resolution
unresolved
raw_fallback, observed 2026-05-16T02:12:07.970223Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-10T20:11:04.940371Z digest=sha256:3540d2cf2a7becd43be6bb0dc877ece4b1ef29ac84d9c408f8292bee611edfb2

Observation d2cffe8b-a5d7-4789-9d4b-479743140e8d · outbound

This paper cites An Intersectional Definition of Fairness.

FairLogue: A Toolkit for Intersectional Fairness Analysis in Clinical Machine Learning Models An Intersectional Definition of Fairness

Reference 7

Resolution
verified exact
arxiv_id, observed 2026-05-10T22:10:49.022731Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-10T20:11:04.940371Z digest=sha256:9145a2bb6865faab5de6fd943ed661f945a4d2bc446409f1bd378029fe729002

Observation fefab49a-88ae-4b9c-a81a-d3377ffa6fed · outbound

This paper cites an unresolved cited work.

FairLogue: A Toolkit for Intersectional Fairness Analysis in Clinical Machine Learning Models Unresolved cited work

Reference 8

Resolution
unresolved
raw_fallback, observed 2026-05-16T02:12:07.967681Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-10T20:11:04.940371Z digest=sha256:ebc4381fd1a8f2d8ad0ffdbb5fbafd882ef49160b680f23c21449382b8d42f3c

Observation 39303b43-a40f-489d-bc6e-f08387a04305 · outbound

This paper cites Department of Health and Human Services, All of Us Research Program Core Values, National Institutes of Health.

FairLogue: A Toolkit for Intersectional Fairness Analysis in Clinical Machine Learning Models Department of Health and Human Services, All of Us Research Program Core Values, National Institutes of Health

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T02:12:07.973336Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-10T20:11:04.940371Z digest=sha256:ba43a1dcaa51d51f69be68fa27829ae90e11bedb4d7403b1247937cc5e0e8109

Observation ba7cb723-d81e-40ae-aab4-a582ef65442c · outbound

This paper cites AI Fairness 360: An Extensible Toolkit for Detecting, Understanding, and Mitigating Unwanted Algorithmic Bias.

FairLogue: A Toolkit for Intersectional Fairness Analysis in Clinical Machine Learning Models AI Fairness 360: An Extensible Toolkit for Detecting, Understanding, and Mitigating Unwanted Algorithmic Bias

Reference 10

Resolution
verified exact
arxiv_id, observed 2026-05-10T22:10:49.012072Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-10T20:11:04.940371Z digest=sha256:a8a8bed8aaeffddcd4c764a52eb02e851d2ccd0c15aebe0abbe08062d921e72c

Observation 3fbd3b0c-3558-44e9-9852-00774ed3df9b · outbound

This paper cites Aequitas: A Bias and Fairness Audit Toolkit.

FairLogue: A Toolkit for Intersectional Fairness Analysis in Clinical Machine Learning Models Aequitas: A Bias and Fairness Audit Toolkit

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-05-10T22:10:49.032916Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-10T20:11:04.940371Z digest=sha256:f986ddf6b0ab4061290179d63e6bd4e5d6fbe2090747415d35765e94a887eccc

Observation 3018e246-1c1e-48be-9d92-3dc19bd07f04 · outbound

This paper cites an unresolved cited work.

FairLogue: A Toolkit for Intersectional Fairness Analysis in Clinical Machine Learning Models Unresolved cited work

Reference 12

Resolution
unresolved
raw_fallback, observed 2026-05-16T02:12:07.978777Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-10T20:11:04.940371Z digest=sha256:d23fa8f7e01282bb3b3adbe0bb128df34ed30e0517faddb28a33b507191dc057

Observation 0fe3a9c8-6e63-4d02-9266-39075b3577cc · outbound

This paper cites an unresolved cited work.

FairLogue: A Toolkit for Intersectional Fairness Analysis in Clinical Machine Learning Models Unresolved cited work

Reference 13

Resolution
unresolved
raw_fallback, observed 2026-05-16T02:12:07.949132Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-10T20:11:04.940371Z digest=sha256:16a66c4c4a0806567a765f3f39df63de44f915f3d5d9c06d8b5f7bc69fbf7e9e

Observation a9908f64-6918-4540-a231-619be5e8729f · outbound

This paper cites an unresolved cited work.

FairLogue: A Toolkit for Intersectional Fairness Analysis in Clinical Machine Learning Models Unresolved cited work

Reference 14

Resolution
unresolved
raw_fallback, observed 2026-05-16T02:12:07.951595Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-10T20:11:04.940371Z digest=sha256:3d7e9d7e68ddc269590f240014a8e1218d1c606fff072ab70555cc58103e3e7a

Observation ab121973-a17c-4060-9464-cdabdd77fc03 · outbound

This paper cites an unresolved cited work.

FairLogue: A Toolkit for Intersectional Fairness Analysis in Clinical Machine Learning Models Unresolved cited work

Reference 15

Resolution
unresolved
raw_fallback, observed 2026-05-16T02:12:07.963001Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-10T20:11:04.940371Z digest=sha256:2cb7790451057d02c13b98c8cb3612bfc49154ef32d03cee3fdf720e2619d722

Observation 985e7e38-e769-4101-8454-a631e8629587 · outbound

This paper cites an unresolved cited work.

FairLogue: A Toolkit for Intersectional Fairness Analysis in Clinical Machine Learning Models Unresolved cited work

Reference 16

Resolution
unresolved
raw_fallback, observed 2026-05-16T02:12:07.956127Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-10T20:11:04.940371Z digest=sha256:a87982b6e0f436d0e6d6d332252bbf6ecaca8754ddd8dc6d863f7d7cb0432ebf

Observation 8ec37c5f-0d77-43dc-9774-709fc850afc1 · outbound

This paper cites an unresolved cited work.

FairLogue: A Toolkit for Intersectional Fairness Analysis in Clinical Machine Learning Models Unresolved cited work

Reference 17

Resolution
unresolved
raw_fallback, observed 2026-05-16T02:12:07.960632Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-10T20:11:04.940371Z digest=sha256:2bc20cd41388af3f05e84b9234fd1905d40aa00f847268756f9585873f1010b5

Observation 207d6811-6470-40e9-9ac3-7f9400818e9a · outbound

This paper cites an unresolved cited work.

FairLogue: A Toolkit for Intersectional Fairness Analysis in Clinical Machine Learning Models Unresolved cited work

Reference 18

Resolution
unresolved
raw_fallback, observed 2026-05-16T02:12:07.965398Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-10T20:11:04.940371Z digest=sha256:bd364aa30fd596fae2fc5ff5e9b2c6af562710de6e0cd34dd7093f5502513399

Observation 98a6654a-9812-4ff1-a844-84bbe74f7cd3 · outbound

This paper cites an unresolved cited work.

FairLogue: A Toolkit for Intersectional Fairness Analysis in Clinical Machine Learning Models Unresolved cited work

Reference 19

Resolution
unresolved
raw_fallback, observed 2026-05-16T02:12:07.981392Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-10T20:11:04.940371Z digest=sha256:c8e9382167bcdc289b6f7cbb374b279d4b4a3cf78a9023380368b088c8fd2c70

Observation d824d05b-948f-4c40-8a2d-b73cccc2e188 · outbound

This paper cites an unresolved cited work.

FairLogue: A Toolkit for Intersectional Fairness Analysis in Clinical Machine Learning Models Unresolved cited work

Reference 20

Resolution
unresolved
raw_fallback, observed 2026-05-16T02:12:07.985474Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-10T20:11:04.940371Z digest=sha256:3bb18083d7a31408d07fa40419ec956ea46d242e1d5c9ddd9702c0863a9f5b63

Observation 81dd49c2-d5f3-4c30-a1ce-2f7ad9c51585 · outbound

This paper cites an unresolved cited work.

FairLogue: A Toolkit for Intersectional Fairness Analysis in Clinical Machine Learning Models Unresolved cited work

Reference 21

Resolution
unresolved
raw_fallback, observed 2026-05-16T02:12:07.987548Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-10T20:11:04.940371Z digest=sha256:27d003c89e5f68be462306b9fdb19e0cf07b95d235061624318b40cf78d5e1ba

Pith citing papers

Observation ca776d3f-9a8d-47d7-8b4e-5e7b46d4022f · inbound

FairSelect: A Systematic Evaluation of Multi-Level and Intersectional Algorithmic Fairness cites this paper.

FairSelect: A Systematic Evaluation of Multi-Level and Intersectional Algorithmic Fairness FairLogue: A Toolkit for Intersectional Fairness Analysis in Clinical Machine Learning Models

Reference 25

Resolution
unresolved
no resolver link, observed 2026-07-13T05:33:08.548804Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T05:33:08.548804Z digest=sha256:50e4650fcc9b0d5802cd28d9568f2f0034a11086762d68a9f4bc5249550dec63