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Paper Citation Record · LEDGER

Towards Fair Medical AI: Adversarial Debiasing of 3D CT Foundation Embeddings

As of 11 August 2026, this Paper Citation Record lists 14 of 14 outbound references and 1 inbound Pith citation observation for arXiv:2502.04386.

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

pith.paper-citation-record.v1
2502.04386 v1

Coverage vector

measured 14 of 14 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-09T04:27:03.974690Z

measured 15 of 15 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T18:27:21.644883Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-11T18:27:21.749348Z

Reference resolution

14 of 14 outbound references displayed

  • verified exact4
  • verified fuzzy8
  • unresolved2
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 972c7413-79fa-4a31-a865-8565af8c10e3 · outbound

This paper cites Debias-CLR: A Contrastive Learning Based Debiasing Method for Algorithmic Fairness in Healthcare Applications.

Towards Fair Medical AI: Adversarial Debiasing of 3D CT Foundation Embeddings Debias-CLR: A Contrastive Learning Based Debiasing Method for Algorithmic Fairness in Healthcare Applications

Reference 1

Resolution
verified exact
local_arxiv, observed 2026-08-09T04:27:04.060249Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-09T04:27:03.927946Z digest=sha256:597fed143dd1ca77257cad894278b04880559246d6ecc7f170f35ea1ff19ded3

Observation 441dc2f0-8824-4d13-a2da-c961e06f1e29 · outbound

This paper cites Two-step adversarial debiasing with partial learning -- medical image case-studies.

Towards Fair Medical AI: Adversarial Debiasing of 3D CT Foundation Embeddings Two-step adversarial debiasing with partial learning -- medical image case-studies

Reference 2

Resolution
verified exact
local_arxiv, observed 2026-08-09T04:27:04.047063Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-09T04:27:03.932758Z digest=sha256:2da5a86ccb854225cdb42b8a9dbd2ee77e750a763796ac9c4c9b3c81ba2a2b1e

Observation e3a96f4d-fad1-4de5-a78c-3b5867bc4211 · outbound

This paper cites Efficient adversarial debiasing with concept activation vector—medical image case-studies.

Towards Fair Medical AI: Adversarial Debiasing of 3D CT Foundation Embeddings Efficient adversarial debiasing with concept activation vector—medical image case-studies

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T04:27:04.147829Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-09T04:27:03.936499Z digest=sha256:8a4c9d7c7e27a735766d24ba75159a0803fa5fa474aacceb77197c24bc96ad91

Observation 35ab07fb-c1c8-4220-b0a7-61fbc0a9ac22 · outbound

This paper cites Ai recognition of patient race in medical imaging: a modelling study.

Towards Fair Medical AI: Adversarial Debiasing of 3D CT Foundation Embeddings Ai recognition of patient race in medical imaging: a modelling study

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T04:27:04.136789Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-09T04:27:03.940185Z digest=sha256:00c9f6b1471b63ff89715e496cb42543f226dea5f29c089f79520f3829194e95

Observation 1cfa981c-0ec6-478e-bbf1-9ff75a2700de · outbound

This paper cites Nlst embeddings in ct\_foundation\_demo.ipynb, Accessed: Oct 26 2024.

Towards Fair Medical AI: Adversarial Debiasing of 3D CT Foundation Embeddings Nlst embeddings in ct\_foundation\_demo.ipynb, Accessed: Oct 26 2024

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T04:27:04.126849Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-09T04:27:03.944167Z digest=sha256:a234fc9536bd29e78084dddfc0a29451aa147b354b344070924a56336837962f

Observation f922e8a0-73d3-48da-b218-075511bfb333 · outbound

This paper cites Debiased noise editing on foundation models for fair medical image classification.

Towards Fair Medical AI: Adversarial Debiasing of 3D CT Foundation Embeddings Debiased noise editing on foundation models for fair medical image classification

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T04:27:04.116882Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-09T04:27:03.947743Z digest=sha256:0bc2908c29385d68a91625180d3331a2aa2e828fc9e78f78fe8322eb117b7b75

Observation d111a37a-e80f-42fa-990d-79c6cb8aa46e · outbound

This paper cites Taking medical imaging embeddings 3d, Accessed: Oct 26 2024.

Towards Fair Medical AI: Adversarial Debiasing of 3D CT Foundation Embeddings Taking medical imaging embeddings 3d, Accessed: Oct 26 2024

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T04:27:04.106735Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-09T04:27:03.951477Z digest=sha256:1ad5fdbec31f28991965fe29aab8f3348c59e9f6a048a7477bd17abaaf627b06

Observation e5c2ea0d-c05a-4ec7-a38c-f12faba3fc32 · outbound

This paper cites Hidden in Plain Sight: Undetectable Adversarial Bias Attacks on Vulnerable Patient Populations.

Towards Fair Medical AI: Adversarial Debiasing of 3D CT Foundation Embeddings Hidden in Plain Sight: Undetectable Adversarial Bias Attacks on Vulnerable Patient Populations

Reference 8

Resolution
verified exact
local_arxiv, observed 2026-08-09T04:27:04.033380Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-09T04:27:03.954545Z digest=sha256:69e89f8f09f867380acbc7e1d7ebbadd610caade2ffaa92ef37c78766936eb0a

Observation e13772aa-ce40-43c3-b9e5-18570227d140 · outbound

This paper cites The national lung screening trial: overview and study design.

Towards Fair Medical AI: Adversarial Debiasing of 3D CT Foundation Embeddings The national lung screening trial: overview and study design

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T04:27:04.096908Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-09T04:27:03.958447Z digest=sha256:c75e24a2feacfd6ab9b48d34193591b108c3ab3fdb06d9b9935fe370aecec4e6

Observation e26585db-3fa8-4886-b5bd-e65f2b23ff12 · outbound

This paper cites Dissecting racial bias in an algorithm used to manage the health of populations.

Towards Fair Medical AI: Adversarial Debiasing of 3D CT Foundation Embeddings Dissecting racial bias in an algorithm used to manage the health of populations

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-09T04:27:03.961680Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T04:27:03.961680Z digest=sha256:987a8878168ddb24d88255a3fc4d0efb6739547f49dd03d6cc4db93b2626c487

Observation 690aa59a-68f3-4b0e-bd0a-292a6e73086b · outbound

This paper cites An adversarial training framework for mitigating algorithmic biases in clinical machine learning.

Towards Fair Medical AI: Adversarial Debiasing of 3D CT Foundation Embeddings An adversarial training framework for mitigating algorithmic biases in clinical machine learning

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T04:27:04.080752Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-09T04:27:03.964867Z digest=sha256:ab05e100febbaa38bf20079cc9c000c11db6199676f715cf6432e185b437a2c8

Observation 1c87cb97-29e8-4323-9215-1ddd2146cf0b · outbound

This paper cites Advancing Multimodal Medical Capabilities of Gemini.

Towards Fair Medical AI: Adversarial Debiasing of 3D CT Foundation Embeddings Advancing Multimodal Medical Capabilities of Gemini

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-09T04:27:03.968027Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T04:27:03.968027Z digest=sha256:7908570aa539ae71b9b7b6b9e6f28e8283c017c787278d5a7ab97de990d9de71

Observation 7532a685-e7b8-4e91-8fdd-5c23328a5350 · outbound

This paper cites Mitigating unwanted biases with adversarial learning.

Towards Fair Medical AI: Adversarial Debiasing of 3D CT Foundation Embeddings Mitigating unwanted biases with adversarial learning

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T04:27:04.070602Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-09T04:27:03.971685Z digest=sha256:31690151e5b1c7e1289104c86c6ee14a32a84cb796b07ef76eca2247c2f34ff9

Observation cff0a9f6-a60e-48e0-9337-ae902b97605d · outbound

This paper cites Demographic Predictability in 3D CT Foundation Embeddings.

Towards Fair Medical AI: Adversarial Debiasing of 3D CT Foundation Embeddings Demographic Predictability in 3D CT Foundation Embeddings

Reference 14

Resolution
verified exact
local_arxiv, observed 2026-08-09T04:27:04.008943Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-09T04:27:03.974690Z digest=sha256:5d620d2cca287df498883bead4bf89742c5b57323c5658e9a6495b7a6057166c

Pith citing papers

Observation 7bc28126-33d3-4fa1-985f-60b8dc18a150 · inbound

Foundational values for foundation models cites this paper.

Foundational values for foundation models Towards Fair Medical AI: Adversarial Debiasing of 3D CT Foundation Embeddings

Reference 38

Resolution
metadata mismatch
local_arxiv, observed 2026-08-11T18:27:21.757015Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-11T18:27:21.644883Z digest=sha256:4887a0e1931d1f0367a21485338e3f47d2358af68c8e281c6337bb29cd012988