Paper Citation Record · LEDGER

TMI-CLNet: Triple-Modal Interaction Network for Chronic Liver Disease Prognosis From Imaging, Clinical, and Radiomic Data Fusion

As of 22 August 2026, this Paper Citation Record lists 21 of 21 outbound references and 2 inbound Pith citation observations for arXiv:2502.00695.

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

pith.paper-citation-record.v1
2502.00695 v1

Coverage vector

measured 21 of 21 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-09T18:04:45.034284Z

measured 23 of 23 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T17:05:49.505971Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-09T18:04:45.077230Z

Reference resolution

21 of 21 outbound references displayed

verified exact0
verified fuzzy19
unresolved1
parse uncertain0
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metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 6ffa20c5-0aff-4f43-90d4-c9adeb84ae10 · outbound

This paper cites Chronic hepatitis caused by viral in- fections of hepatitis B virus (HBV) and hepatitis C virus (HCV) may progress to cirrhosis and hepatocellular carci- noma (HCC) [1].

TMI-CLNet: Triple-Modal Interaction Network for Chronic Liver Disease Prognosis From Imaging, Clinical, and Radiomic Data Fusion Chronic hepatitis caused by viral in- fections of hepatitis B virus (HBV) and hepatitis C virus (HCV) may progress to cirrhosis and hepatocellular carci- noma (HCC) [1]

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T18:04:45.277810Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 3f191eb8-da6e-47fb-ba43-807a84da2b71 · outbound

This paper cites TMI-CLNet: Triple-Modal Interaction Network for Chronic Liver Disease Prognosis From Imaging, Clinical, and Radiomic Data Fusion.

TMI-CLNet: Triple-Modal Interaction Network for Chronic Liver Disease Prognosis From Imaging, Clinical, and Radiomic Data Fusion TMI-CLNet: Triple-Modal Interaction Network for Chronic Liver Disease Prognosis From Imaging, Clinical, and Radiomic Data Fusion

Reference 2

Resolution: metadata mismatch; local_arxiv, observed 2026-08-09T18:04:45.083261Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation cb56e2b6-8db8-4e5d-b4f3-ead13dbf5157 · outbound

This paper cites Experimental Setup Dataset.

TMI-CLNet: Triple-Modal Interaction Network for Chronic Liver Disease Prognosis From Imaging, Clinical, and Radiomic Data Fusion Experimental Setup Dataset

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T18:04:45.266844Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 09b39e7c-02b2-4ec1-a6e3-22ffc36cdb0b · outbound

This paper cites By introducing the TCAF module and the TMFF loss function, the proposed model can address the heterogeneity among different modalities, thus achieving remarkable per- formance.

TMI-CLNet: Triple-Modal Interaction Network for Chronic Liver Disease Prognosis From Imaging, Clinical, and Radiomic Data Fusion By introducing the TCAF module and the TMFF loss function, the proposed model can address the heterogeneity among different modalities, thus achieving remarkable per- formance

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T18:04:45.256280Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 3d0ae610-3c5c-411d-8993-f943c897463a · outbound

This paper cites Approval was granted by the Ethics Committee of Longgang Central Hospital of Shenzhen (2024.5.8/No.2024052).

TMI-CLNet: Triple-Modal Interaction Network for Chronic Liver Disease Prognosis From Imaging, Clinical, and Radiomic Data Fusion Approval was granted by the Ethics Committee of Longgang Central Hospital of Shenzhen (2024.5.8/No.2024052)

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T18:04:45.247201Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 8eb0531f-0c24-4a9b-bd5f-9a559cbaba12 · outbound

This paper cites 2023A1515012587).

TMI-CLNet: Triple-Modal Interaction Network for Chronic Liver Disease Prognosis From Imaging, Clinical, and Radiomic Data Fusion 2023A1515012587)

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T18:04:45.238585Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 94726bda-9861-42cc-9475-39954eec6560 · outbound

This paper cites An update on viral hepatitis b and c in mexico: Advances and pitfalls in eradication strategies,.

TMI-CLNet: Triple-Modal Interaction Network for Chronic Liver Disease Prognosis From Imaging, Clinical, and Radiomic Data Fusion An update on viral hepatitis b and c in mexico: Advances and pitfalls in eradication strategies,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T18:04:45.230618Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 9ecab421-58ed-4bee-af0e-1b2d7477a28b · outbound

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

TMI-CLNet: Triple-Modal Interaction Network for Chronic Liver Disease Prognosis From Imaging, Clinical, and Radiomic Data Fusion Ich-prnet: A cross- modal intracerebral haemorrhage prognostic prediction method using joint-attention interaction mechanism,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T18:04:45.221596Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation c7adae90-d2ae-4b83-9ca3-6a3bc55a4223 · outbound

This paper cites A multi-modal deep neural network for multi-class liver cancer diagnosis,.

TMI-CLNet: Triple-Modal Interaction Network for Chronic Liver Disease Prognosis From Imaging, Clinical, and Radiomic Data Fusion A multi-modal deep neural network for multi-class liver cancer diagnosis,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T18:04:45.212372Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 1233bfe5-60f6-4757-8d3f-8c01aa4f10cd · outbound

This paper cites Ich- pro: Intracerebral hemorrhage prognosis classification via joint-attention fusion-based 3d cross-modal net- work,.

TMI-CLNet: Triple-Modal Interaction Network for Chronic Liver Disease Prognosis From Imaging, Clinical, and Radiomic Data Fusion Ich- pro: Intracerebral hemorrhage prognosis classification via joint-attention fusion-based 3d cross-modal net- work,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T18:04:45.202929Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 31e3aa42-41ad-4974-8e84-0f6cf7eb22a1 · outbound

This paper cites Can spatiotemporal 3d cnns retrace the history of 2d cnns and imagenet?,.

TMI-CLNet: Triple-Modal Interaction Network for Chronic Liver Disease Prognosis From Imaging, Clinical, and Radiomic Data Fusion Can spatiotemporal 3d cnns retrace the history of 2d cnns and imagenet?,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T18:04:45.193246Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation b966089a-e037-42d6-b575-22a420ba49d5 · outbound

This paper cites Biobert: a pre-trained biomedical language representa- tion model for biomedical text mining,.

TMI-CLNet: Triple-Modal Interaction Network for Chronic Liver Disease Prognosis From Imaging, Clinical, and Radiomic Data Fusion Biobert: a pre-trained biomedical language representa- tion model for biomedical text mining,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T18:04:45.182816Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 4696f511-d9ec-4b9c-913c-9a02a545aa4d · outbound

This paper cites Cross-modal implicit rela- tion reasoning and aligning for text-to-image person re- trieval,.

TMI-CLNet: Triple-Modal Interaction Network for Chronic Liver Disease Prognosis From Imaging, Clinical, and Radiomic Data Fusion Cross-modal implicit rela- tion reasoning and aligning for text-to-image person re- trieval,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T18:04:45.171858Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 8deead8f-529d-4d78-8d8a-333d7abfe541 · outbound

This paper cites Deep residual learning for image recognition,.

TMI-CLNet: Triple-Modal Interaction Network for Chronic Liver Disease Prognosis From Imaging, Clinical, and Radiomic Data Fusion Deep residual learning for image recognition,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T18:04:45.160489Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 4147639a-d39a-4ca9-a214-0b0a4f8b8015 · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

TMI-CLNet: Triple-Modal Interaction Network for Chronic Liver Disease Prognosis From Imaging, Clinical, and Radiomic Data Fusion An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-09T18:04:45.012904Z

Source-reported events for the cited work

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Observation 88443828-3370-4cb9-bab4-c1bf1f2b0759 · outbound

This paper cites Radiomics-based machine learning models can detect pancreatic cancer on prediagnostic cts at a substantial lead time prior to clinical diagnosis.,.

TMI-CLNet: Triple-Modal Interaction Network for Chronic Liver Disease Prognosis From Imaging, Clinical, and Radiomic Data Fusion Radiomics-based machine learning models can detect pancreatic cancer on prediagnostic cts at a substantial lead time prior to clinical diagnosis.,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T18:04:45.150789Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation b029632c-ef5a-4f08-9edc-056f092f3e89 · outbound

This paper cites Random forests,.

TMI-CLNet: Triple-Modal Interaction Network for Chronic Liver Disease Prognosis From Imaging, Clinical, and Radiomic Data Fusion Random forests,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T18:04:45.139674Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 2aafd728-3c6e-4524-8750-98ca929849db · outbound

This paper cites Fully automated hybrid approach to predict the idh mutation status of gliomas via deep learning and ra- diomics,.

TMI-CLNet: Triple-Modal Interaction Network for Chronic Liver Disease Prognosis From Imaging, Clinical, and Radiomic Data Fusion Fully automated hybrid approach to predict the idh mutation status of gliomas via deep learning and ra- diomics,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T18:04:45.128492Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 109c43b4-2e35-4bcf-910e-756505e1b65d · outbound

This paper cites Hf- bsurv: hierarchical multimodal fusion with factorized bilinear models for cancer survival prediction,.

TMI-CLNet: Triple-Modal Interaction Network for Chronic Liver Disease Prognosis From Imaging, Clinical, and Radiomic Data Fusion Hf- bsurv: hierarchical multimodal fusion with factorized bilinear models for cancer survival prediction,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T18:04:45.117661Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 5f73f112-1951-495c-b1dd-8cf3aaeff0c5 · outbound

This paper cites Survival prediction of brain cancer with incomplete radiology, pathology, genomic, and demographic data,.

TMI-CLNet: Triple-Modal Interaction Network for Chronic Liver Disease Prognosis From Imaging, Clinical, and Radiomic Data Fusion Survival prediction of brain cancer with incomplete radiology, pathology, genomic, and demographic data,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T18:04:45.106624Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation b400927a-cda3-453d-866e-a32018afac50 · outbound

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

TMI-CLNet: Triple-Modal Interaction Network for Chronic Liver Disease Prognosis From Imaging, Clinical, and Radiomic Data Fusion Grad-cam: Visual explanations from deep net- works via gradient-based localization,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T18:04:45.095629Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Pith citing papers

Observation 3f191eb8-da6e-47fb-ba43-807a84da2b71 · inbound