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Paper Citation Record · LEDGER

TMF-RSE: Tri-Modal Fusion with Regional Semantics and Evidential Uncertainty for Lung Severity Scoring

As of 20 August 2026, this Paper Citation Record lists 20 of 20 outbound references and 0 inbound Pith citation observations for arXiv:2607.06356.

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

pith.paper-citation-record.v1
2607.06356 v1

Coverage vector

measured 20 of 20 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-08T08:40:49.689355Z

measured 20 of 20 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+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

20 of 20 outbound references displayed

  • verified exact2
  • verified fuzzy18
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ac5928aa-14d3-4ab0-aa6e-d50664ebd740 · outbound

This paper cites Chest x-ray severity index as a predictor of in-hospital mortality in coronavirus disease 2019: A study of 302 patients from italy,.

TMF-RSE: Tri-Modal Fusion with Regional Semantics and Evidential Uncertainty for Lung Severity Scoring Chest x-ray severity index as a predictor of in-hospital mortality in coronavirus disease 2019: A study of 302 patients from italy,

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-07-08T08:44:46.227977Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 42e0dcdb-fd33-4c22-abe7-c2166fa22c99 · outbound

This paper cites Borghesi, S.

TMF-RSE: Tri-Modal Fusion with Regional Semantics and Evidential Uncertainty for Lung Severity Scoring Borghesi, S

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-07-08T08:44:46.231568Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation ab517919-1526-494d-b306-0db5928b33ed · outbound

This paper cites Severity scoring of lung oedema on the chest radiograph is associated with clinical outcomes in ards,.

TMF-RSE: Tri-Modal Fusion with Regional Semantics and Evidential Uncertainty for Lung Severity Scoring Severity scoring of lung oedema on the chest radiograph is associated with clinical outcomes in ards,

Reference 3

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 9608d09f-4e7c-44c8-8d95-cb0d3b43fb90 · outbound

This paper cites Chexpert: A large chest radiograph dataset with uncertainty labels and expert comparison,.

TMF-RSE: Tri-Modal Fusion with Regional Semantics and Evidential Uncertainty for Lung Severity Scoring Chexpert: A large chest radiograph dataset with uncertainty labels and expert comparison,

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-07-08T08:44:46.196174Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 407892fc-1bda-4c8e-83f9-6aeb43d1f583 · outbound

This paper cites Per-COVID-19: A benchmark dataset for COVID- 19 percentage estimation from CT-scans,.

TMF-RSE: Tri-Modal Fusion with Regional Semantics and Evidential Uncertainty for Lung Severity Scoring Per-COVID-19: A benchmark dataset for COVID- 19 percentage estimation from CT-scans,

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-07-08T08:44:46.224961Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 84e6a8fc-18cf-4842-9103-57b40d779c2d · outbound

This paper cites COVID-19 infection percentage estimation from computed tomography scans: Results and insights from the international Per-COVID-19 challenge,.

TMF-RSE: Tri-Modal Fusion with Regional Semantics and Evidential Uncertainty for Lung Severity Scoring COVID-19 infection percentage estimation from computed tomography scans: Results and insights from the international Per-COVID-19 challenge,

Reference 6

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-07-08T08:40:49.689355Z digest=sha256:dbc7adeaf1bf32fd9c96c839f21ceaf7d9c196a78fab61bee149cc9887195607

Observation 2d9203d3-e068-48f6-911a-0c67c2ce7d4b · outbound

This paper cites Radiographic assessment of lung opacity score dataset,.

TMF-RSE: Tri-Modal Fusion with Regional Semantics and Evidential Uncertainty for Lung Severity Scoring Radiographic assessment of lung opacity score dataset,

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-07-08T08:44:46.221851Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-07-08T08:40:49.689355Z digest=sha256:4596cb8fda350859923b18a0b4eb07e2c989af6e59aaa487eb47709dabaa494a

Observation 3eef98c9-b1b7-4955-87e3-05ff329ccde8 · outbound

This paper cites Lung infec- tion severity prediction using transformers with conditional TransMix augmentation and cross-attention,.

TMF-RSE: Tri-Modal Fusion with Regional Semantics and Evidential Uncertainty for Lung Severity Scoring Lung infec- tion severity prediction using transformers with conditional TransMix augmentation and cross-attention,

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-07-08T08:44:46.191452Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-07-08T08:40:49.689355Z digest=sha256:cfe60ad3203812aecdcbd7de6c7b29411c76e3361473d87c86ecc8525c2da939

Observation 511e2e00-fd29-46c7-a451-b13907e6fb02 · outbound

This paper cites PViTGAtt-IP: Severity quantification of lung infections in chest x-rays and CT scans via parallel and cross-attended encoders,.

TMF-RSE: Tri-Modal Fusion with Regional Semantics and Evidential Uncertainty for Lung Severity Scoring PViTGAtt-IP: Severity quantification of lung infections in chest x-rays and CT scans via parallel and cross-attended encoders,

Reference 9

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 5fd7af4d-6c7a-4c33-849f-c10ddb88bbfc · outbound

This paper cites Vision transformer-based model for severity quantification of lung pneumonia using chest x-ray images,.

TMF-RSE: Tri-Modal Fusion with Regional Semantics and Evidential Uncertainty for Lung Severity Scoring Vision transformer-based model for severity quantification of lung pneumonia using chest x-ray images,

Reference 10

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation d8c62931-5123-4bf4-bc1c-0f0477bd4bb9 · outbound

This paper cites Multi-score prediction for lung infection severity in chest x-ray images,.

TMF-RSE: Tri-Modal Fusion with Regional Semantics and Evidential Uncertainty for Lung Severity Scoring Multi-score prediction for lung infection severity in chest x-ray images,

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-07-08T08:44:46.198710Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-07-08T08:40:49.689355Z digest=sha256:bc057d51ffb51fe854728f72d1ec85edb7d8cf52817663a7b628b499c344024a

Observation a85f8032-d7bd-4294-b1ba-07688f87a8c3 · outbound

This paper cites Multi-modal fusion for medical image analysis: A survey,.

TMF-RSE: Tri-Modal Fusion with Regional Semantics and Evidential Uncertainty for Lung Severity Scoring Multi-modal fusion for medical image analysis: A survey,

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-07-08T08:44:46.201048Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-07-08T08:40:49.689355Z digest=sha256:a7f6e7a430fad92070197ebce299817d7cab6d87ee0c7726f127cd28af5417cc

Observation b59f2ca0-7541-4911-90ba-0b1776964c0d · outbound

This paper cites Llava-med: Training a large language-and-vision assistant for biomedicine in one day,.

TMF-RSE: Tri-Modal Fusion with Regional Semantics and Evidential Uncertainty for Lung Severity Scoring Llava-med: Training a large language-and-vision assistant for biomedicine in one day,

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-07-08T08:44:46.218442Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-07-08T08:40:49.689355Z digest=sha256:4621d1c9138d146ff62884046b958d9fab2ad4b5a51d70f3b787632861babbb0

Observation 38692617-4776-44d6-89b5-2e263b443e25 · outbound

This paper cites BiomedCLIP: a multimodal biomedical foundation model pretrained from fifteen million scientific image-text pairs.

TMF-RSE: Tri-Modal Fusion with Regional Semantics and Evidential Uncertainty for Lung Severity Scoring BiomedCLIP: a multimodal biomedical foundation model pretrained from fifteen million scientific image-text pairs

Reference 14

Resolution
verified exact
local_arxiv, observed 2026-07-08T08:44:45.962910Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-07-08T08:40:49.689355Z digest=sha256:53d7cad5c58c582956fcfdbb094772ff4960712b3b869c90781a343e20c7553d

Observation 75e49e19-4ff4-475d-b294-e143fbe61470 · outbound

This paper cites Medclip: Contrastive learning from unpaired medical images and text,.

TMF-RSE: Tri-Modal Fusion with Regional Semantics and Evidential Uncertainty for Lung Severity Scoring Medclip: Contrastive learning from unpaired medical images and text,

Reference 15

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-07-08T08:40:49.689355Z digest=sha256:825afc9082cd7f5b6d78a9ae671d407144db56031a6d5cfee5aaf1e102dd1c98

Observation a7bb38e0-d304-4533-a535-3084a87d05ef · outbound

This paper cites MedGemma technical report,.

TMF-RSE: Tri-Modal Fusion with Regional Semantics and Evidential Uncertainty for Lung Severity Scoring MedGemma technical report,

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-07-08T08:44:46.211671Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation d6b50bb4-0658-41f0-a2e7-c90de0feb746 · outbound

This paper cites Deep evidential regression.

TMF-RSE: Tri-Modal Fusion with Regional Semantics and Evidential Uncertainty for Lung Severity Scoring Deep evidential regression

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-07-08T08:44:46.209420Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 81bd03dd-bc84-4b4c-82c9-a7b113c414e8 · outbound

This paper cites A comprehensive survey on evidential deep learning and its applications,.

TMF-RSE: Tri-Modal Fusion with Regional Semantics and Evidential Uncertainty for Lung Severity Scoring A comprehensive survey on evidential deep learning and its applications,

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-07-08T08:44:46.214659Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-07-08T08:40:49.689355Z digest=sha256:948574660ceaea04ea517661eefd285db5713e97111815de30cec991eda2b4d8

Observation 17d4ae89-9475-4d75-8062-9ebf5592dabc · outbound

This paper cites Exception-aware Lifecycle Model Construction for Framework APIs.

TMF-RSE: Tri-Modal Fusion with Regional Semantics and Evidential Uncertainty for Lung Severity Scoring Exception-aware Lifecycle Model Construction for Framework APIs

Reference 19

Resolution
verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 004f9f40-e649-4a7f-9d36-69b8dd9ef6b2 · outbound

This paper cites Siméoni, H.

TMF-RSE: Tri-Modal Fusion with Regional Semantics and Evidential Uncertainty for Lung Severity Scoring Siméoni, H

Reference 20

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Pith citing papers

No inbound Pith citation observations are available.