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Paper Citation Record · LEDGER

Chest Disease Detection In X-Ray Images Using Deep Learning Classification Method

As of 8 August 2026, this Paper Citation Record lists 12 of 12 outbound references and 0 inbound Pith citation observations for arXiv:2505.22609.

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

pith.paper-citation-record.v1
2505.22609 v1

Coverage vector

measured 12 of 12 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:08:30.596227Z

measured 12 of 12 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 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

12 of 12 outbound references displayed

  • verified exact6
  • verified fuzzy1
  • unresolved4
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 9c6cfa01-6d5c-4235-b444-31f4a864ad12 · outbound

This paper cites The TB portals: an open-access, web-based platform for global drug-resistant-tuberculosis data sharing and analysis.

Chest Disease Detection In X-Ray Images Using Deep Learning Classification Method The TB portals: an open-access, web-based platform for global drug-resistant-tuberculosis data sharing and analysis

Reference 1

Resolution
malformed identifier
raw_fallback, observed 2026-08-07T13:08:32.044877Z

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.

source=arxiv_source observed=2026-08-07T13:08:29.374503Z digest=sha256:49d55260c804973eb15fb58a3a5a787103feefa017f338ee6c55e2d9bd8c8f6d

Observation 6137d7bd-decc-42dd-a367-ce77ca27e0c1 · outbound

This paper cites Aravinda, Meng Lin, K.R.

Chest Disease Detection In X-Ray Images Using Deep Learning Classification Method Aravinda, Meng Lin, K.R

Reference 2

Resolution
verified exact
doi, observed 2026-08-07T13:08:31.712121Z

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.

source=arxiv_source observed=2026-08-07T13:08:29.437546Z digest=sha256:abde0a91e94f70f54208b10bfd6edae6a9050faf2fe4f819dad121435c3ce314

Observation 758efba1-7192-4e3e-b6b0-13fd0e70440d · outbound

This paper cites A comprehensive analysis of deep learning-based approaches for prediction and prognosis of infectious diseases.

Chest Disease Detection In X-Ray Images Using Deep Learning Classification Method A comprehensive analysis of deep learning-based approaches for prediction and prognosis of infectious diseases

Reference 3

Resolution
verified exact
doi, observed 2026-08-07T13:08:31.527209Z

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.

source=arxiv_source observed=2026-08-07T13:08:29.515535Z digest=sha256:a3b9910c33cee6480882f72cbaeac5fc5dd983dfeaadc79d42d9e81619039523

Observation 9e9b49f3-ea61-435b-9d9f-e221faddd286 · outbound

This paper cites Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning.

Chest Disease Detection In X-Ray Images Using Deep Learning Classification Method Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-07T13:08:29.594847Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:08:29.594847Z digest=sha256:2ac0a61ccfa67f0f926591436ebdb22e55ef0e1d723b802aafc0435575ca3f86

Observation 838785ce-92d1-4247-9c95-65678e060579 · outbound

This paper cites Deep Residual Learning for Image Recognition.

Chest Disease Detection In X-Ray Images Using Deep Learning Classification Method Deep Residual Learning for Image Recognition

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-07T13:08:29.687255Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:08:29.687255Z digest=sha256:bc89a8600fe2ad299607229549f757955a4dfcdabc1d10f890d0f87c4486a209

Observation d5b15802-dcc6-48a5-a20a-bf793bec2947 · outbound

This paper cites Very Deep Convolutional Networks for Large-Scale Image Recognition.

Chest Disease Detection In X-Ray Images Using Deep Learning Classification Method Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-07T13:08:29.792498Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:08:29.792498Z digest=sha256:6e29b40a71239013802c823a0bf138fe49e7d5b67cd5fe482fb630dd044c01ce

Observation e29e00b3-8975-461b-9abe-5248e92f6475 · outbound

This paper cites COVID -net: a tailored deep convolutional neural network design for detection of COVID -19 cases from chest x-ray images.

Chest Disease Detection In X-Ray Images Using Deep Learning Classification Method COVID -net: a tailored deep convolutional neural network design for detection of COVID -19 cases from chest x-ray images

Reference 7

Resolution
verified exact
doi, observed 2026-08-07T13:08:31.335766Z

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.

source=arxiv_source observed=2026-08-07T13:08:29.998647Z digest=sha256:74ab86e075e5cefd2530706b865e447f6044b0ba7e58c6970263300c320a7077

Observation bf5300c3-7d22-445c-a711-f9c16972dfbf · outbound

This paper cites CDC\_Net : multi-classification convolutional neural network model for detection of COVID -19, pneumothorax, pneumonia, lung cancer, and tuberculosis using chest x-rays.

Chest Disease Detection In X-Ray Images Using Deep Learning Classification Method CDC\_Net : multi-classification convolutional neural network model for detection of COVID -19, pneumothorax, pneumonia, lung cancer, and tuberculosis using chest x-rays

Reference 8

Resolution
verified exact
doi, observed 2026-08-07T13:08:31.170187Z

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.

source=arxiv_source observed=2026-08-07T13:08:30.142167Z digest=sha256:1ae079d21613ef322ec47dca82c00444b31b5af1ee0ba54cf597d6aa48cd7ebd

Observation a7d676b0-7ecb-4359-b363-40a3d115b2db · outbound

This paper cites COVID ‑19 detection from chest x-ray images using transfer learning.

Chest Disease Detection In X-Ray Images Using Deep Learning Classification Method COVID ‑19 detection from chest x-ray images using transfer learning

Reference 9

Resolution
verified exact
doi, observed 2026-08-07T13:08:31.045471Z

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.

source=arxiv_source observed=2026-08-07T13:08:30.272704Z digest=sha256:59278c3c718ca15f90d646e1a743cfc14d4267c6befc4e3b31e755e8109aaad2

Observation 61e890ea-10da-4cb0-a7fe-422b4950f81f · outbound

This paper cites Detection of COVID -19 based on chest x-rays using deep learning.

Chest Disease Detection In X-Ray Images Using Deep Learning Classification Method Detection of COVID -19 based on chest x-rays using deep learning

Reference 10

Resolution
verified exact
doi, observed 2026-08-07T13:08:30.857456Z

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.

source=arxiv_source observed=2026-08-07T13:08:30.414746Z digest=sha256:3d753b3ae7ae931b0cdb5e4fdde5a6e50dc90475dd885b8cd5e67ca7ef206f66

Observation b9967628-89c3-48bd-8fcf-1070b6d8dda2 · outbound

This paper cites Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow : Concepts, Tools, and Techniques to Build Intelligent Systems.

Chest Disease Detection In X-Ray Images Using Deep Learning Classification Method Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow : Concepts, Tools, and Techniques to Build Intelligent Systems

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:08:31.846507Z

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.

source=arxiv_source observed=2026-08-07T13:08:30.513117Z digest=sha256:e4ca3273d9c374afcc098ab2ae94ec172127c43e9d74d35526910ed638b6e833

Observation 173cc746-d159-4b12-b1c4-0d13f6ef0ad5 · outbound

This paper cites EfficientNetV2: Smaller Models and Faster Training.

Chest Disease Detection In X-Ray Images Using Deep Learning Classification Method EfficientNetV2: Smaller Models and Faster Training

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-07T13:08:30.596227Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:08:30.596227Z digest=sha256:3f237330e426673bd05c5ae6567f33466a78225a0d69e073e2e08f05a15ae945

Pith citing papers

No inbound Pith citation observations are available.