Paper Citation Record · LEDGER

Peritumoral Expansion Radiomics for Improved Lung Cancer Classification

As of 13 August 2026, this Paper Citation Record lists 11 of 11 outbound references and 0 inbound Pith citation observations for arXiv:2411.16008.

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

pith.paper-citation-record.v1
2411.16008 v1

Coverage vector

measured 11 of 11 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T13:42:09.612986Z

measured 11 of 11 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+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

11 of 11 outbound references displayed

verified exact0
verified fuzzy4
unresolved7
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 6afd8b05-5aac-43cd-b45e-cf3ecba756c3 · outbound

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

Peritumoral Expansion Radiomics for Improved Lung Cancer Classification Reduced Lung -Cancer Mortality with Low -Dose Computed Tomographic Screening,

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-12T13:42:09.507647Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation af23682d-707f-48cd-a94b-aa6557f90f6b · outbound

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

Peritumoral Expansion Radiomics for Improved Lung Cancer Classification Reduced Lung-Cancer Mortality with Volume CT Screening in a Randomized Trial,

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-12T13:42:09.522195Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 62c7378d-d364-42dd-b079-2324c64b02e5 · outbound

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

Peritumoral Expansion Radiomics for Improved Lung Cancer Classification AI in Lung Health: Benchmarking Detection and Diagnostic Models Across Multiple CT Scan Datasets,

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-12T13:42:09.529453Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2c8e233f-a0b1-4702-808e-0af9bbd9a52d · outbound

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

Peritumoral Expansion Radiomics for Improved Lung Cancer Classification Sybil: A Validated Deep Learning Model to Predict Future Lung Cancer Risk From a Single Low-Dose Chest Computed Tomography,

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-12T13:42:09.540595Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a2b54977-e004-40d2-82f1-eca797c8aaf0 · outbound

This paper cites Foundation model for cancer imaging biomarkers,.

Peritumoral Expansion Radiomics for Improved Lung Cancer Classification Foundation model for cancer imaging biomarkers,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:42:10.069416Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation fc26cd65-75dd-4152-ad9c-e1058e143d64 · outbound

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

Peritumoral Expansion Radiomics for Improved Lung Cancer Classification Virtual Lung Screening Trial (VLST): An In Silico Study Inspired by the National Lung Screening Trial for Lung Cancer Detection

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-12T13:42:09.561764Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 31431368-e293-4a7c-9dfe-d1c43c3be00b · outbound

This paper cites an unresolved cited work.

Peritumoral Expansion Radiomics for Improved Lung Cancer Classification Unresolved cited work

Reference 8

Resolution: unresolved; raw_fallback, observed 2026-08-12T13:42:10.049129Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 0226ac5f-c17e-4657-b801-e5828f972a73 · outbound

This paper cites Computational radiomics system to decode the radiographic phenotype,.

Peritumoral Expansion Radiomics for Improved Lung Cancer Classification Computational radiomics system to decode the radiographic phenotype,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:42:10.017654Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 20a5e773-3059-4b47-b01a-b2186fe74d85 · outbound

This paper cites Random forest,.

Peritumoral Expansion Radiomics for Improved Lung Cancer Classification Random forest,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:42:09.990994Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 67ce668d-d595-4346-bb6c-42bb48041595 · outbound

This paper cites Understanding logistic regression analysis,.

Peritumoral Expansion Radiomics for Improved Lung Cancer Classification Understanding logistic regression analysis,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:42:09.962189Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 05dc0d9f-cea0-4c8e-aa62-a9efb006a463 · outbound

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

Peritumoral Expansion Radiomics for Improved Lung Cancer Classification pROC: an open-source package for R and S+ to analyze and compare ROC curves,

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-12T13:42:09.612986Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.