Paper Citation Record · LEDGER

Deep Learning-Powered Classification of Thoracic Diseases in Chest X-Rays

As of 14 August 2026, this Paper Citation Record lists 18 of 18 outbound references and 0 inbound Pith citation observations for arXiv:2501.14279.

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

pith.paper-citation-record.v1
2501.14279 v1

Coverage vector

measured 18 of 18 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T15:17:20.192961Z

measured 18 of 18 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+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

18 of 18 outbound references displayed

verified exact0
verified fuzzy12
unresolved6
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e2911c82-afae-4635-80e7-3883d60b8c8c · outbound

This paper cites Deep residual learning for image recognition.

Deep Learning-Powered Classification of Thoracic Diseases in Chest X-Rays Deep residual learning for image recognition

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-10T15:17:20.099445Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation df9e2c1b-5331-4c17-b537-58aa103e60ce · outbound

This paper cites CheXpert: A Large Chest Radiograph Dataset with Uncertainty Labels and Expert Comparison.

Deep Learning-Powered Classification of Thoracic Diseases in Chest X-Rays CheXpert: A Large Chest Radiograph Dataset with Uncertainty Labels and Expert Comparison

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-10T15:17:20.105098Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 814e398d-dac7-4e6c-8f04-b8cb2a5c5e7c · outbound

This paper cites an unresolved cited work.

Deep Learning-Powered Classification of Thoracic Diseases in Chest X-Rays Unresolved cited work

Reference 3

Resolution: unresolved; raw_fallback, observed 2026-08-10T15:17:20.690090Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation bebbabc6-0af4-47fe-b4b5-ba54dd564d5c · outbound

This paper cites Focal Loss for Dense Object Detection.

Deep Learning-Powered Classification of Thoracic Diseases in Chest X-Rays Focal Loss for Dense Object Detection

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-10T15:17:20.116157Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f9d90ac1-30ed-4533-b5f0-e4d88bf1f052 · outbound

This paper cites van der Laak, Bram van Ginneken, and Clara I.

Deep Learning-Powered Classification of Thoracic Diseases in Chest X-Rays van der Laak, Bram van Ginneken, and Clara I

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:17:20.672732Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 76454ccd-3a3d-4b4a-a9e3-7aac8b7d06ad · outbound

This paper cites Lundberg and Su-In Lee.

Deep Learning-Powered Classification of Thoracic Diseases in Chest X-Rays Lundberg and Su-In Lee

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:17:20.656390Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 9ef54788-91ea-4f35-863f-ad9f5f88ff05 · outbound

This paper cites Large-scale chest x-ray datasets and techniques: A review.

Deep Learning-Powered Classification of Thoracic Diseases in Chest X-Rays Large-scale chest x-ray datasets and techniques: A review

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:17:20.637591Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation dfe0a8cb-7596-4919-bd55-025b2dd402e6 · outbound

This paper cites U-net: Convolutional networks for biomedical image segmentation.

Deep Learning-Powered Classification of Thoracic Diseases in Chest X-Rays U-net: Convolutional networks for biomedical image segmentation

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:17:20.618479Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation e74e79ae-cba0-4854-8308-2ce58bd422b4 · outbound

This paper cites Selvaraju, Michael Cogswell, Abhishek Das, Ramakrishna Vedantam, Devi Parikh, and Dhruv Batra.

Deep Learning-Powered Classification of Thoracic Diseases in Chest X-Rays Selvaraju, Michael Cogswell, Abhishek Das, Ramakrishna Vedantam, Devi Parikh, and Dhruv Batra

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:17:20.601035Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation a684de7c-4e5b-4091-be70-7201c0dd032f · outbound

This paper cites Selvaraju, Michael Cogswell, Abhishek Das, Ramakrishna Vedantam, Devi Parikh, and Dhruv Batra.

Deep Learning-Powered Classification of Thoracic Diseases in Chest X-Rays Selvaraju, Michael Cogswell, Abhishek Das, Ramakrishna Vedantam, Devi Parikh, and Dhruv Batra

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:17:20.583657Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation eab003a3-c764-47f0-ae08-6eefa3483d03 · outbound

This paper cites Roth, Zhiyun Gao, Liyue Lu, Ziyue Xu, Isaac Nogues, Jianhua Yao, Daniel Mollura, and Ronald M.

Deep Learning-Powered Classification of Thoracic Diseases in Chest X-Rays Roth, Zhiyun Gao, Liyue Lu, Ziyue Xu, Isaac Nogues, Jianhua Yao, Daniel Mollura, and Ronald M

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:17:20.565517Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 026dc7e7-deb1-4688-9353-c437e6b94d10 · outbound

This paper cites Khoshgoftaar.

Deep Learning-Powered Classification of Thoracic Diseases in Chest X-Rays Khoshgoftaar

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:17:20.546501Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation d36083f6-084c-4b0f-b85b-267edf658d95 · outbound

This paper cites Smoothgrad: removing noise by adding noise.

Deep Learning-Powered Classification of Thoracic Diseases in Chest X-Rays Smoothgrad: removing noise by adding noise

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:17:20.527287Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 1d32e221-0afd-441c-9de0-c1059941339f · outbound

This paper cites Rethinking the inception architecture for computer vision.

Deep Learning-Powered Classification of Thoracic Diseases in Chest X-Rays Rethinking the inception architecture for computer vision

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:17:20.509096Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 82c729e3-cd90-4661-902c-8ba3dbf3abbb · outbound

This paper cites an unresolved cited work.

Deep Learning-Powered Classification of Thoracic Diseases in Chest X-Rays Unresolved cited work

Reference 15

Resolution: unresolved; raw_fallback, observed 2026-08-10T15:17:20.491180Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 1f9e7125-e2fc-4a02-988c-73a4d9d2d5fe · outbound

This paper cites Learning to diagnose from scratch by exploiting dependencies among labels.

Deep Learning-Powered Classification of Thoracic Diseases in Chest X-Rays Learning to diagnose from scratch by exploiting dependencies among labels

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-10T15:17:20.180625Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 787c5c2c-0fc9-4889-be06-44315e34beeb · outbound

This paper cites A unified framework for generalized zero-shot medical image classification.

Deep Learning-Powered Classification of Thoracic Diseases in Chest X-Rays A unified framework for generalized zero-shot medical image classification

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:17:20.471706Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation e80fa963-0d0c-44a9-9939-05e6a6b41814 · outbound

This paper cites Cubuk, Golnaz Ghiasi, Tsung-Yi Lin, Jon Shlens, and Quoc V.

Deep Learning-Powered Classification of Thoracic Diseases in Chest X-Rays Cubuk, Golnaz Ghiasi, Tsung-Yi Lin, Jon Shlens, and Quoc V

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:17:20.453523Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Pith citing papers

No inbound Pith citation observations are available.