Paper Citation Record · LEDGER

Toward Multi-Modal Deep Learning for Pulmonary Disease Classification: A Texture-Based Machine Learning Pilot Study on Public Chest X-Ray Data

As of 9 August 2026, this Paper Citation Record lists 13 of 13 outbound references and 0 inbound Pith citation observations for arXiv:2607.27286.

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

pith.paper-citation-record.v1
2607.27286 v1

Coverage vector

measured 13 of 13 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T10:26:09.783925Z

measured 13 of 13 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+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

13 of 13 outbound references displayed

verified exact0
verified fuzzy0
unresolved13
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 21155378-e9af-4db5-9a13-8fa4d3830be4 · outbound

This paper cites Deep learning applications in chest imaging,.

Toward Multi-Modal Deep Learning for Pulmonary Disease Classification: A Texture-Based Machine Learning Pilot Study on Public Chest X-Ray Data Deep learning applications in chest imaging,

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-01T10:26:08.573884Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c1d6cd04-7ba0-4381-af3c-3de862a035c3 · outbound

This paper cites ChestX-ray8: Hospital-scale chest X-ray database and benchmarks on weakly-supervised classification and localization of common thorax diseases,.

Toward Multi-Modal Deep Learning for Pulmonary Disease Classification: A Texture-Based Machine Learning Pilot Study on Public Chest X-Ray Data ChestX-ray8: Hospital-scale chest X-ray database and benchmarks on weakly-supervised classification and localization of common thorax diseases,

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-01T10:26:08.630903Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 324c3cc3-ae25-43cd-a49c-994493c37ea4 · outbound

This paper cites End-to-end lung cancer screening with three-dimensional deep learning on low-dose chest computed tomography,.

Toward Multi-Modal Deep Learning for Pulmonary Disease Classification: A Texture-Based Machine Learning Pilot Study on Public Chest X-Ray Data End-to-end lung cancer screening with three-dimensional deep learning on low-dose chest computed tomography,

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-01T10:26:08.774776Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c8574698-43b6-40ef-932a-0c79673c66d7 · outbound

This paper cites Deep learning-enabled medical computer vision,.

Toward Multi-Modal Deep Learning for Pulmonary Disease Classification: A Texture-Based Machine Learning Pilot Study on Public Chest X-Ray Data Deep learning-enabled medical computer vision,

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-01T10:26:08.920605Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1b524024-0c81-43d3-a60f-3189175e1966 · outbound

This paper cites TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation.

Toward Multi-Modal Deep Learning for Pulmonary Disease Classification: A Texture-Based Machine Learning Pilot Study on Public Chest X-Ray Data TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-01T10:26:09.053390Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4e33ba0d-74a2-4798-a245-26aff5f269f8 · outbound

This paper cites Rethinking medical image classification: Computer vision foundation models and domain-specific fine-tuning,.

Toward Multi-Modal Deep Learning for Pulmonary Disease Classification: A Texture-Based Machine Learning Pilot Study on Public Chest X-Ray Data Rethinking medical image classification: Computer vision foundation models and domain-specific fine-tuning,

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-01T10:26:09.199131Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d7f41d89-1b8f-463a-9076-ab733388fa2e · outbound

This paper cites Contrastive Learning of Medical Visual Representations from Paired Images and Text.

Toward Multi-Modal Deep Learning for Pulmonary Disease Classification: A Texture-Based Machine Learning Pilot Study on Public Chest X-Ray Data Contrastive Learning of Medical Visual Representations from Paired Images and Text

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-01T10:26:09.304478Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 43647201-4ccf-40f9-acff-3fea608917c3 · outbound

This paper cites PENet—a scalable deep-learning model for automated diagnosis of pulmonary embolism using volumetric CT imaging,.

Toward Multi-Modal Deep Learning for Pulmonary Disease Classification: A Texture-Based Machine Learning Pilot Study on Public Chest X-Ray Data PENet—a scalable deep-learning model for automated diagnosis of pulmonary embolism using volumetric CT imaging,

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-01T10:26:09.384510Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b62b25d7-a39f-4be5-ae67-912e7f796fa7 · outbound

This paper cites Swin transformer: Hierarchical vision transformer using shifted windows,.

Toward Multi-Modal Deep Learning for Pulmonary Disease Classification: A Texture-Based Machine Learning Pilot Study on Public Chest X-Ray Data Swin transformer: Hierarchical vision transformer using shifted windows,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-01T10:26:09.465630Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ceeaea99-b844-4ecf-8b5b-b6e488c9380e · outbound

This paper cites EfficientNetV2: Smaller models and faster training,.

Toward Multi-Modal Deep Learning for Pulmonary Disease Classification: A Texture-Based Machine Learning Pilot Study on Public Chest X-Ray Data EfficientNetV2: Smaller models and faster training,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-01T10:26:09.544610Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fb11d780-c5ec-4544-9216-949c4d3fee8a · outbound

This paper cites COVID-19 Image Data Collection.

Toward Multi-Modal Deep Learning for Pulmonary Disease Classification: A Texture-Based Machine Learning Pilot Study on Public Chest X-Ray Data COVID-19 Image Data Collection

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-01T10:26:09.625956Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1920f574-1a31-4b32-b3f5-5085264b0ae7 · outbound

This paper cites Textural features for image classification,.

Toward Multi-Modal Deep Learning for Pulmonary Disease Classification: A Texture-Based Machine Learning Pilot Study on Public Chest X-Ray Data Textural features for image classification,

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-01T10:26:09.707961Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 73b0789b-d0be-4240-ab1a-5d5f07fa3834 · outbound

This paper cites Histograms of oriented gradients for human detection,.

Toward Multi-Modal Deep Learning for Pulmonary Disease Classification: A Texture-Based Machine Learning Pilot Study on Public Chest X-Ray Data Histograms of oriented gradients for human detection,

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-01T10:26:09.783925Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.