Paper Citation Record · LEDGER

CSF-Net: Cross-Modal Spatiotemporal Fusion Network for Pulmonary Nodule Malignancy Predicting

As of 16 August 2026, this Paper Citation Record lists 27 of 27 outbound references and 1 inbound Pith citation observation for arXiv:2501.16400.

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

pith.paper-citation-record.v1
2501.16400 v1

Coverage vector

measured 27 of 27 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T13:59:54.073350Z

measured 28 of 28 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T13:59:53.954376Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-08-10T13:59:54.313554Z

Reference resolution

27 of 27 outbound references displayed

verified exact1
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 22e115e8-50c1-416a-b595-20fefe34629f · outbound

This paper cites an unresolved cited work.

CSF-Net: Cross-Modal Spatiotemporal Fusion Network for Pulmonary Nodule Malignancy Predicting Unresolved cited work

Reference 1

Resolution: unresolved; raw_fallback, observed 2026-08-10T13:59:54.660838Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation e1369395-b28a-4746-a8c0-7bbd1af3268e · outbound

This paper cites CSF-Net: Cross-Modal Spatiotemporal Fusion Network for Pulmonary Nodule Malignancy Predicting.

CSF-Net: Cross-Modal Spatiotemporal Fusion Network for Pulmonary Nodule Malignancy Predicting CSF-Net: Cross-Modal Spatiotemporal Fusion Network for Pulmonary Nodule Malignancy Predicting

Reference 2

Resolution: metadata mismatch; local_arxiv, observed 2026-08-10T13:59:54.318981Z

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Observation c7d8ddcd-bff6-4df4-8d21-397dc8e53c2c · outbound

This paper cites an unresolved cited work.

CSF-Net: Cross-Modal Spatiotemporal Fusion Network for Pulmonary Nodule Malignancy Predicting Unresolved cited work

Reference 3

Resolution: unresolved; raw_fallback, observed 2026-08-10T13:59:54.646151Z

Source-reported events for the cited work

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Observation e42822c0-c515-4a6c-bd27-e25f05a390c2 · outbound

This paper cites Data Preparation and Preprocess The NLST dataset is a pivotal research initiative by the U.S.

CSF-Net: Cross-Modal Spatiotemporal Fusion Network for Pulmonary Nodule Malignancy Predicting Data Preparation and Preprocess The NLST dataset is a pivotal research initiative by the U.S

Reference 4

Resolution: verified exact; raw_fallback, observed 2026-08-10T13:59:54.293032Z

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Observation 4e71ef27-26e6-4c9f-942f-9fce0381d7c0 · outbound

This paper cites t1 Images Alone: When only t0 images were used, model performance dropped signifi- cantly, with Acc falling from 0.8974 to 0.7079, along with decreases in Prec and Rec.

CSF-Net: Cross-Modal Spatiotemporal Fusion Network for Pulmonary Nodule Malignancy Predicting t1 Images Alone: When only t0 images were used, model performance dropped signifi- cantly, with Acc falling from 0.8974 to 0.7079, along with decreases in Prec and Rec

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T13:59:54.632137Z

Source-reported events for the cited work

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Observation e49c3962-3b7f-43b4-9bd7-a7f0f5172898 · outbound

This paper cites an unresolved cited work.

CSF-Net: Cross-Modal Spatiotemporal Fusion Network for Pulmonary Nodule Malignancy Predicting Unresolved cited work

Reference 6

Resolution: unresolved; raw_fallback, observed 2026-08-10T13:59:54.618437Z

Source-reported events for the cited work

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Observation 295043a9-4359-4dfe-94b7-72f81414f156 · outbound

This paper cites an unresolved cited work.

CSF-Net: Cross-Modal Spatiotemporal Fusion Network for Pulmonary Nodule Malignancy Predicting Unresolved cited work

Reference 7

Resolution: unresolved; raw_fallback, observed 2026-08-10T13:59:54.603463Z

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Observation acaf49db-d0de-4aea-89e5-7f65eadbb8a1 · outbound

This paper cites This outcome highlights the critical role of temporal fusion in optimizing the integration of temporal in- formation.

CSF-Net: Cross-Modal Spatiotemporal Fusion Network for Pulmonary Nodule Malignancy Predicting This outcome highlights the critical role of temporal fusion in optimizing the integration of temporal in- formation

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T13:59:54.588813Z

Source-reported events for the cited work

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Observation 6b6090e0-add9-4d53-9251-141273b6bc8c · outbound

This paper cites To address this, we pro- pose CSF-Net, a cross-modal spatiotemporal fusion network model for malignancy prediction.

CSF-Net: Cross-Modal Spatiotemporal Fusion Network for Pulmonary Nodule Malignancy Predicting To address this, we pro- pose CSF-Net, a cross-modal spatiotemporal fusion network model for malignancy prediction

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T13:59:54.574333Z

Source-reported events for the cited work

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Observation 897de735-f6f8-4a24-9155-05255abd874e · outbound

This paper cites The license accompanying this open-access data confirms that no ethical approval is required.

CSF-Net: Cross-Modal Spatiotemporal Fusion Network for Pulmonary Nodule Malignancy Predicting The license accompanying this open-access data confirms that no ethical approval is required

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T13:59:54.560395Z

Source-reported events for the cited work

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Observation 719a0039-052c-4180-80eb-cf0c2262468e · outbound

This paper cites LGK- CYLWS2023018), and Shenzhen Science and Technology Program (No.KCXFZ20201221173008022).

CSF-Net: Cross-Modal Spatiotemporal Fusion Network for Pulmonary Nodule Malignancy Predicting LGK- CYLWS2023018), and Shenzhen Science and Technology Program (No.KCXFZ20201221173008022)

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T13:59:54.546979Z

Source-reported events for the cited work

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Observation d75d3531-719e-48e0-a965-2723f3f1c28d · outbound

This paper cites Global cancer statis- tics 2022: Globocan estimates of incidence and mortal- ity worldwide for 36 cancers in 185 countries,.

CSF-Net: Cross-Modal Spatiotemporal Fusion Network for Pulmonary Nodule Malignancy Predicting Global cancer statis- tics 2022: Globocan estimates of incidence and mortal- ity worldwide for 36 cancers in 185 countries,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T13:59:54.532714Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation b78edb8a-8869-40c1-9f27-ca5f3772ffd2 · outbound

This paper cites The na- tional lung screening trial: overview and study design,.

CSF-Net: Cross-Modal Spatiotemporal Fusion Network for Pulmonary Nodule Malignancy Predicting The na- tional lung screening trial: overview and study design,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T13:59:54.518382Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 5f145769-2165-4895-ad85-4cbaf6c86e3d · outbound

This paper cites Learning efficient, explainable and discrimina- tive representations for pulmonary nodules classifica- tion,.

CSF-Net: Cross-Modal Spatiotemporal Fusion Network for Pulmonary Nodule Malignancy Predicting Learning efficient, explainable and discrimina- tive representations for pulmonary nodules classifica- tion,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T13:59:54.502273Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation ee6be127-3652-45a4-8887-78590929fa7c · outbound

This paper cites Evaluate the malignancy of pulmonary nod- ules using the 3-d deep leaky noisy-or network,.

CSF-Net: Cross-Modal Spatiotemporal Fusion Network for Pulmonary Nodule Malignancy Predicting Evaluate the malignancy of pulmonary nod- ules using the 3-d deep leaky noisy-or network,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T13:59:54.485680Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 8cb50f01-72bf-43c3-8c35-dfea20abb583 · outbound

This paper cites Study on the prediction method of long-term benign and malignant pulmonary lesions based on lstm,.

CSF-Net: Cross-Modal Spatiotemporal Fusion Network for Pulmonary Nodule Malignancy Predicting Study on the prediction method of long-term benign and malignant pulmonary lesions based on lstm,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T13:59:54.471268Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation d0239865-5790-45a9-9193-dc08aebf29b1 · outbound

This paper cites Lung nodule malignancy prediction from longitudinal ct scans with siamese convolutional attention networks,.

CSF-Net: Cross-Modal Spatiotemporal Fusion Network for Pulmonary Nodule Malignancy Predicting Lung nodule malignancy prediction from longitudinal ct scans with siamese convolutional attention networks,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T13:59:54.456746Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 401b625e-f7b9-4dd6-991f-c121201d139a · outbound

This paper cites Spatio-temporal hybrid fusion of cae and swin trans- formers for lung cancer malignancy prediction,.

CSF-Net: Cross-Modal Spatiotemporal Fusion Network for Pulmonary Nodule Malignancy Predicting Spatio-temporal hybrid fusion of cae and swin trans- formers for lung cancer malignancy prediction,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T13:59:54.441590Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation f56ec149-02e0-4aa5-82c4-19b6cce34a8d · outbound

This paper cites Pe-mvcnet: Multi-view and cross-modal fusion network for pulmonary embolism prediction,.

CSF-Net: Cross-Modal Spatiotemporal Fusion Network for Pulmonary Nodule Malignancy Predicting Pe-mvcnet: Multi-view and cross-modal fusion network for pulmonary embolism prediction,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T13:59:54.427391Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation e657d1ea-a66f-4b5f-95cc-75c643ba5d64 · outbound

This paper cites Ich-prnet: A cross- modal intracerebral haemorrhage prognostic prediction method using joint-attention interaction mechanism,.

CSF-Net: Cross-Modal Spatiotemporal Fusion Network for Pulmonary Nodule Malignancy Predicting Ich-prnet: A cross- modal intracerebral haemorrhage prognostic prediction method using joint-attention interaction mechanism,

Reference 20

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Source-reported events for the cited work

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Observation 735d12f0-fb44-4261-b2fb-9c655ec6612e · outbound

This paper cites Multimodal co-attention fusion network with online data augmentation for cancer subtype classifica- tion,.

CSF-Net: Cross-Modal Spatiotemporal Fusion Network for Pulmonary Nodule Malignancy Predicting Multimodal co-attention fusion network with online data augmentation for cancer subtype classifica- tion,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T13:59:54.401764Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation a8ed4406-b9c2-4386-b379-c5c1ea033979 · outbound

This paper cites Multimodal fusion of imaging and genomics for lung cancer recurrence prediction,.

CSF-Net: Cross-Modal Spatiotemporal Fusion Network for Pulmonary Nodule Malignancy Predicting Multimodal fusion of imaging and genomics for lung cancer recurrence prediction,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T13:59:54.387046Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 3941bf5d-3355-4bf4-913a-d221dcd81d67 · outbound

This paper cites Autoencoder-based multimodal prediction of non-small cell lung cancer survival,.

CSF-Net: Cross-Modal Spatiotemporal Fusion Network for Pulmonary Nodule Malignancy Predicting Autoencoder-based multimodal prediction of non-small cell lung cancer survival,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T13:59:54.372534Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 283b47b0-0ac5-4186-adeb-3d77673fa25b · outbound

This paper cites Enhancing cancer prediction in challenging screen-detected incident lung nodules us- ing time-series deep learning,.

CSF-Net: Cross-Modal Spatiotemporal Fusion Network for Pulmonary Nodule Malignancy Predicting Enhancing cancer prediction in challenging screen-detected incident lung nodules us- ing time-series deep learning,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T13:59:54.358649Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 3fabd4eb-c970-417b-b81b-e23ae73a29c5 · outbound

This paper cites Cmafgan: A cross-modal atten- tion fusion based generative adversarial network for at- tribute word-to-face synthesis,.

CSF-Net: Cross-Modal Spatiotemporal Fusion Network for Pulmonary Nodule Malignancy Predicting Cmafgan: A cross-modal atten- tion fusion based generative adversarial network for at- tribute word-to-face synthesis,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T13:59:54.344582Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 5fac9da6-b897-41f8-ad8a-eb0a5a2edc74 · outbound

This paper cites Cbam: Convolutional block attention module,.

CSF-Net: Cross-Modal Spatiotemporal Fusion Network for Pulmonary Nodule Malignancy Predicting Cbam: Convolutional block attention module,

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-10T13:59:54.068714Z

Source-reported events for the cited work

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Observation 055fdbfc-01ad-4f9f-ac08-e70246e24f03 · outbound

This paper cites RadFusion: Benchmarking Performance and Fairness for Multimodal Pulmonary Embolism Detection from CT and EHR.

CSF-Net: Cross-Modal Spatiotemporal Fusion Network for Pulmonary Nodule Malignancy Predicting RadFusion: Benchmarking Performance and Fairness for Multimodal Pulmonary Embolism Detection from CT and EHR

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-10T13:59:54.073350Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation e1369395-b28a-4746-a8c0-7bbd1af3268e · inbound