Paper Citation Record · LEDGER

Refining Focus in AI for Lung Cancer: Comparing Lesion-Centric and Chest-Region Models with Performance Insights from Internal and External Validation

As of 13 August 2026, this Paper Citation Record lists 19 of 19 outbound references and 0 inbound Pith citation observations for arXiv:2411.16823.

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

pith.paper-citation-record.v1
2411.16823 v1

Coverage vector

measured 19 of 19 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T12:56:16.557096Z

measured 19 of 19 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+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

19 of 19 outbound references displayed

verified exact5
verified fuzzy7
unresolved6
parse uncertain0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b2943877-83a4-43f5-ba82-c2323a86312c · outbound

This paper cites Reduced Lung -Cancer Mortality with Low -Dose Computed Tomographic Screening,.

Refining Focus in AI for Lung Cancer: Comparing Lesion-Centric and Chest-Region Models with Performance Insights from Internal and External Validation Reduced Lung -Cancer Mortality with Low -Dose Computed Tomographic Screening,

Reference 1

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 39c69f15-b753-4b4c-bcae-1e82812e52db · outbound

This paper cites Reduced Lung -Cancer Mortality with Volume CT Screening in a Randomized Trial,.

Reference 2

Resolution: verified exact; doi, observed 2026-08-12T12:56:16.612346Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 197d23ac-7138-4dc1-8126-6cc700240b08 · outbound

This paper cites Cancer statistics for the year 2020: An overview,.

Refining Focus in AI for Lung Cancer: Comparing Lesion-Centric and Chest-Region Models with Performance Insights from Internal and External Validation Cancer statistics for the year 2020: An overview,

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-12T12:56:16.514046Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2bf4fafd-969b-445a-b931-43de3b7a39a8 · outbound

This paper cites Lung Nodule Management in Low -Dose CT Screening for Lung Cancer: Lessons from the NELSON Trial,.

Refining Focus in AI for Lung Cancer: Comparing Lesion-Centric and Chest-Region Models with Performance Insights from Internal and External Validation Lung Nodule Management in Low -Dose CT Screening for Lung Cancer: Lessons from the NELSON Trial,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:56:16.862060Z

Source-reported events for the cited work

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Observation e9920c75-6ae6-42f2-a3d1-1de5a850f58f · outbound

This paper cites an unresolved cited work.

Refining Focus in AI for Lung Cancer: Comparing Lesion-Centric and Chest-Region Models with Performance Insights from Internal and External Validation Unresolved cited work

Reference 5

Resolution: unresolved; raw_fallback, observed 2026-08-12T12:56:16.854654Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation cda2152f-0762-4de8-bd35-061e4f30ad2c · outbound

This paper cites Virtual Lung Screening Trial (VLST): An In Silico Study Inspired by the National Lung Screening Trial for Lung Cancer Detection.

Refining Focus in AI for Lung Cancer: Comparing Lesion-Centric and Chest-Region Models with Performance Insights from Internal and External Validation Virtual Lung Screening Trial (VLST): An In Silico Study Inspired by the National Lung Screening Trial for Lung Cancer Detection

Reference 6

Resolution: verified exact; local_arxiv, observed 2026-08-12T12:56:16.802437Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 4efc2e95-7d96-4ac7-bd7b-5b743122204e · outbound

This paper cites AI in Lung Health: Benchmarking Detection and Diagnostic Models Across Multiple CT Scan Datasets,.

Refining Focus in AI for Lung Cancer: Comparing Lesion-Centric and Chest-Region Models with Performance Insights from Internal and External Validation AI in Lung Health: Benchmarking Detection and Diagnostic Models Across Multiple CT Scan Datasets,

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-12T12:56:16.526242Z

Source-reported events for the cited work

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Observation 8a883504-6069-422a-a9a6-90b4403481c9 · outbound

This paper cites Sybil: A Validated Deep Learning Model to Predict Future Lung Cancer Risk From a Single Low-Dose Chest Computed Tomography,.

Refining Focus in AI for Lung Cancer: Comparing Lesion-Centric and Chest-Region Models with Performance Insights from Internal and External Validation Sybil: A Validated Deep Learning Model to Predict Future Lung Cancer Risk From a Single Low-Dose Chest Computed Tomography,

Reference 8

Resolution: verified exact; doi, observed 2026-08-12T12:56:16.601114Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 7b0e391d-12b5-4abb-8833-d895fccacad2 · outbound

This paper cites Foundation model for cancer imaging biomarkers,.

Refining Focus in AI for Lung Cancer: Comparing Lesion-Centric and Chest-Region Models with Performance Insights from Internal and External Validation Foundation model for cancer imaging biomarkers,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:56:16.847460Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 637a0ffe-3cdc-4dda-942f-94f8fd8c6a90 · outbound

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

Refining Focus in AI for Lung Cancer: Comparing Lesion-Centric and Chest-Region Models with Performance Insights from Internal and External Validation End-to-end lung cancer screening with three-dimensional deep learning on low-dose chest computed tomography,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:56:16.839850Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation c0ec7005-e408-4262-a0d3-789c6e4998e1 · outbound

This paper cites an unresolved cited work.

Refining Focus in AI for Lung Cancer: Comparing Lesion-Centric and Chest-Region Models with Performance Insights from Internal and External Validation Unresolved cited work

Reference 11

Resolution: verified exact; doi, observed 2026-08-12T12:56:16.593337Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation d5e597f3-2a93-4070-a7c1-92f39157109f · outbound

This paper cites Validation, comparison, and combination of algorithms for automatic detection of pulmonary nodules in computed tomography images: The LUNA16 challenge,.

Refining Focus in AI for Lung Cancer: Comparing Lesion-Centric and Chest-Region Models with Performance Insights from Internal and External Validation Validation, comparison, and combination of algorithms for automatic detection of pulmonary nodules in computed tomography images: The LUNA16 challenge,

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-12T12:56:16.539735Z

Source-reported events for the cited work

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Observation e91adc6c-b5bd-478b-9437-9fcdc059dc04 · outbound

This paper cites Grad -cam: Visual explanations from deep networks via gradient -based localization,.

Refining Focus in AI for Lung Cancer: Comparing Lesion-Centric and Chest-Region Models with Performance Insights from Internal and External Validation Grad -cam: Visual explanations from deep networks via gradient -based localization,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:56:16.832352Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 8b422060-ef43-43d3-82f6-745f18137cc0 · outbound

This paper cites SmoothGrad: removing noise by adding noise.

Refining Focus in AI for Lung Cancer: Comparing Lesion-Centric and Chest-Region Models with Performance Insights from Internal and External Validation SmoothGrad: removing noise by adding noise

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-12T12:56:16.544744Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dac94e7c-2265-4101-b901-78b62a582e5d · outbound

This paper cites pROC: an open-source package for R and S+ to analyze and compare ROC curves,.

Refining Focus in AI for Lung Cancer: Comparing Lesion-Centric and Chest-Region Models with Performance Insights from Internal and External Validation pROC: an open-source package for R and S+ to analyze and compare ROC curves,

Reference 15

Resolution: malformed identifier; no resolver link, observed 2026-08-12T12:56:16.547519Z

Source-reported events for the cited work

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Observation 2965c88f-a799-4f8b-86e3-e31b3dccb42f · outbound

This paper cites A foundation model utilizing chest ct volumes and radiology reports for supervised-level zero-shot detection of abnormalities,.

Refining Focus in AI for Lung Cancer: Comparing Lesion-Centric and Chest-Region Models with Performance Insights from Internal and External Validation A foundation model utilizing chest ct volumes and radiology reports for supervised-level zero-shot detection of abnormalities,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:56:16.825079Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation e1514a4c-bf96-415e-8ca1-d59f1d799dd8 · outbound

This paper cites Classification of Multiple Diseases on Body CT Scans Using Weakly Supervised Deep Learning,.

Refining Focus in AI for Lung Cancer: Comparing Lesion-Centric and Chest-Region Models with Performance Insights from Internal and External Validation Classification of Multiple Diseases on Body CT Scans Using Weakly Supervised Deep Learning,

Reference 17

Resolution: verified exact; doi, observed 2026-08-12T12:56:16.577794Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 92dbb452-3b84-48ac-81ab-420dc9117a7b · outbound

This paper cites Machine-Learning-Based Multiple Abnormality Prediction with Large-Scale Chest Computed Tomography Volumes,.

Refining Focus in AI for Lung Cancer: Comparing Lesion-Centric and Chest-Region Models with Performance Insights from Internal and External Validation Machine-Learning-Based Multiple Abnormality Prediction with Large-Scale Chest Computed Tomography Volumes,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:56:16.817679Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 38503ecf-72e9-4c12-811f-ffd7497d97ee · outbound

This paper cites Co -occurring Diseases Heavily influence the Performance of Weakly Supervised Learning Models for Classification of Chest CT,.

Refining Focus in AI for Lung Cancer: Comparing Lesion-Centric and Chest-Region Models with Performance Insights from Internal and External Validation Co -occurring Diseases Heavily influence the Performance of Weakly Supervised Learning Models for Classification of Chest CT,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:56:16.810050Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Pith citing papers

No inbound Pith citation observations are available.