Paper Citation Record · LEDGER

Algorithms Trained on Normal Chest X-rays Can Predict Health Insurance Types

As of 7 August 2026, this Paper Citation Record lists 9 of 9 outbound references and 1 inbound Pith citation observation for arXiv:2511.11030.

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

pith.paper-citation-record.v1
2511.11030 v6

Coverage vector

measured 9 of 9 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-17T22:34:52.896200Z

measured 10 of 10 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-08T03:56:20.905929Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-05-11T21:51:33.690366Z

Reference resolution

9 of 9 outbound references displayed

verified exact5
verified fuzzy4
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 614b46cb-8cf7-4d85-b895-138d06e67005 · outbound

This paper cites CheXpert Plus: Augmenting a Large Chest X-ray Dataset with Text Radiology Reports, Patient Demographics and Additional Image Formats.

Algorithms Trained on Normal Chest X-rays Can Predict Health Insurance Types CheXpert Plus: Augmenting a Large Chest X-ray Dataset with Text Radiology Reports, Patient Demographics and Additional Image Formats

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-05-17T22:35:25.031264Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 725e2930-a9fd-4347-8935-714be8dc4618 · outbound

This paper cites MIMIC-CXR-JPG, a large publicly available database of labeled chest radiographs.

Algorithms Trained on Normal Chest X-rays Can Predict Health Insurance Types MIMIC-CXR-JPG, a large publicly available database of labeled chest radiographs

Reference 2

Resolution: verified exact; local_arxiv, observed 2026-05-17T22:35:25.050388Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation c7231fc4-ba49-4d57-8019-81550b3f9b27 · outbound

This paper cites No LLM is Free From Bias: A Comprehensive Study of Bias Evaluation in Large Language Models.

Algorithms Trained on Normal Chest X-rays Can Predict Health Insurance Types No LLM is Free From Bias: A Comprehensive Study of Bias Evaluation in Large Language Models

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-05-17T22:35:25.036271Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation a69dcd38-5828-4fb6-9717-210a83ad452a · outbound

This paper cites Cautious optimizers: Improving training with one line of code.arXiv preprint arXiv:2411.16085.

Algorithms Trained on Normal Chest X-rays Can Predict Health Insurance Types Cautious optimizers: Improving training with one line of code.arXiv preprint arXiv:2411.16085

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-05-17T22:35:25.040926Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 20f54412-dfc2-41b3-bd3c-2b7889859e56 · outbound

This paper cites Chexclusion: Fairness gaps in deep chest x-ray classifiers.

Algorithms Trained on Normal Chest X-rays Can Predict Health Insurance Types Chexclusion: Fairness gaps in deep chest x-ray classifiers

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T22:35:25.710605Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 444e258b-956d-4595-8d64-9468f143f336 · outbound

This paper cites MedMamba: Vision Mamba for Medical Image Classification.

Algorithms Trained on Normal Chest X-rays Can Predict Health Insurance Types MedMamba: Vision Mamba for Medical Image Classification

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-05-17T22:35:25.045935Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation c887a416-8be7-4ee4-8f83-320929b45a6a · outbound

This paper cites Dataset description MIMIC-IV v3.0 Johnson et al.

Algorithms Trained on Normal Chest X-rays Can Predict Health Insurance Types Dataset description MIMIC-IV v3.0 Johnson et al

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T22:35:25.713619Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation b95b1d8b-b614-4dab-bfb3-652629bae889 · outbound

This paper cites (2019a,b) is an ex- tended image dataset for MIMIC-IV v3.0, including 377,110 chest X-ray images in total.

Algorithms Trained on Normal Chest X-rays Can Predict Health Insurance Types (2019a,b) is an ex- tended image dataset for MIMIC-IV v3.0, including 377,110 chest X-ray images in total

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T22:35:25.704265Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 760485f8-62b3-4f8a-b03c-6ec844125357 · outbound

This paper cites The recent CheXpert Plus paper Chambon et al.

Algorithms Trained on Normal Chest X-rays Can Predict Health Insurance Types The recent CheXpert Plus paper Chambon et al

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T22:35:25.707514Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Pith citing papers

Observation 18cdea81-5e60-4a97-b0bb-732b1a2d2eb1 · inbound

Quantum Kernel Advantage over Classical Collapse in Medical Foundation Model Embeddings cites this paper.

Quantum Kernel Advantage over Classical Collapse in Medical Foundation Model Embeddings Algorithms Trained on Normal Chest X-rays Can Predict Health Insurance Types

Reference 11

Resolution: verified exact; local_arxiv, observed 2026-05-11T21:51:33.693340Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.