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Paper Citation Record · LEDGER

Interpretable Artificial Intelligence for Detecting Acute Heart Failure on Acute Chest CT Scans

As of 10 August 2026, this Paper Citation Record lists 26 of 26 outbound references and 0 inbound Pith citation observations for arXiv:2507.08952.

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

pith.paper-citation-record.v1
2507.08952 v1

Coverage vector

measured 26 of 26 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T18:12:26.440203Z

measured 26 of 26 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+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

26 of 26 outbound references displayed

  • verified exact2
  • verified fuzzy16
  • unresolved8
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 74549d85-d961-443e-be4b-db5ea0c34363 · outbound

This paper cites an unresolved cited work.

Interpretable Artificial Intelligence for Detecting Acute Heart Failure on Acute Chest CT Scans Unresolved cited work

Reference 1

Resolution
unresolved
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation f671f4cf-87d5-43e8-a728-5a05fa8df973 · outbound

This paper cites an unresolved cited work.

Interpretable Artificial Intelligence for Detecting Acute Heart Failure on Acute Chest CT Scans Unresolved cited work

Reference 2

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raw_fallback, observed 2026-08-06T18:12:28.042818Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 5dc501a5-a33d-4e05-8650-9aab4434441f · outbound

This paper cites an unresolved cited work.

Interpretable Artificial Intelligence for Detecting Acute Heart Failure on Acute Chest CT Scans Unresolved cited work

Reference 3

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 41d825cb-604c-44ff-b347-8e18f20efc42 · outbound

This paper cites an unresolved cited work.

Interpretable Artificial Intelligence for Detecting Acute Heart Failure on Acute Chest CT Scans Unresolved cited work

Reference 4

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation f8467bdd-9f21-411f-bdca-745e0b7c9653 · outbound

This paper cites an unresolved cited work.

Interpretable Artificial Intelligence for Detecting Acute Heart Failure on Acute Chest CT Scans Unresolved cited work

Reference 5

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raw_fallback, observed 2026-08-06T18:12:27.845879Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 833cca40-faec-4d4f-a49b-5fc2922c909c · outbound

This paper cites ‡: These authors contributed equally as last authors.

Interpretable Artificial Intelligence for Detecting Acute Heart Failure on Acute Chest CT Scans ‡: These authors contributed equally as last authors

Reference 6

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 7e9121b0-144c-451a-b4a5-e9c1fe5ab40e · outbound

This paper cites an unresolved cited work.

Interpretable Artificial Intelligence for Detecting Acute Heart Failure on Acute Chest CT Scans Unresolved cited work

Reference 7

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unresolved
raw_fallback, observed 2026-08-06T18:12:27.704421Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 9614ec18-91b4-4802-95fa-a75a019c6274 · outbound

This paper cites an unresolved cited work.

Interpretable Artificial Intelligence for Detecting Acute Heart Failure on Acute Chest CT Scans Unresolved cited work

Reference 8

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unresolved
raw_fallback, observed 2026-08-06T18:12:27.638260Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 4d45b532-0f46-43cc-ab0a-5b4330dbe31d · outbound

This paper cites Abstract Introduction: Chest CT scans are increasingly used in dyspneic patients where acute heart failure (AHF) is a key differential diagnosis.

Interpretable Artificial Intelligence for Detecting Acute Heart Failure on Acute Chest CT Scans Abstract Introduction: Chest CT scans are increasingly used in dyspneic patients where acute heart failure (AHF) is a key differential diagnosis

Reference 9

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 9887f98f-07cd-4bc2-8aa3-84e48a9e366f · outbound

This paper cites It is a major cause of emergency hospital admissions worldwide, and a leading cause of hospitaliza- tions in elderly patients.

Interpretable Artificial Intelligence for Detecting Acute Heart Failure on Acute Chest CT Scans It is a major cause of emergency hospital admissions worldwide, and a leading cause of hospitaliza- tions in elderly patients

Reference 10

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 081c5823-133a-4025-876b-02a241d02f49 · outbound

This paper cites 2.1 Study Design A single-center, retrospective study using CT scans to develop an AI model for detecting AHF (Figure 1).

Interpretable Artificial Intelligence for Detecting Acute Heart Failure on Acute Chest CT Scans 2.1 Study Design A single-center, retrospective study using CT scans to develop an AI model for detecting AHF (Figure 1)

Reference 11

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation c6449a15-91d7-4058-b200-6d3ea2a1de0f · outbound

This paper cites congestion.

Interpretable Artificial Intelligence for Detecting Acute Heart Failure on Acute Chest CT Scans congestion

Reference 12

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation e43e6d7c-5c60-47e1-8f00-74a97a14aa3d · outbound

This paper cites The model performed well, achieving an AUROC of 0.87—comparable to assessments by thoracic radiologists.

Interpretable Artificial Intelligence for Detecting Acute Heart Failure on Acute Chest CT Scans The model performed well, achieving an AUROC of 0.87—comparable to assessments by thoracic radiologists

Reference 13

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 683a8ed1-302e-46eb-91ec-1f05e020cd68 · outbound

This paper cites Diagnostik med kunstig intelligens på CT hos patienter med åndenød: udvikling og valid- ering af maskinlæringsalgoritmer (Breath-CT).

Interpretable Artificial Intelligence for Detecting Acute Heart Failure on Acute Chest CT Scans Diagnostik med kunstig intelligens på CT hos patienter med åndenød: udvikling og valid- ering af maskinlæringsalgoritmer (Breath-CT)

Reference 14

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raw_fallback, observed 2026-08-06T18:12:27.254286Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T18:12:26.091510Z digest=sha256:1e5a27c9d7190e2a27cd75f5584573c09b2f12585376e67299b6f37281594cf6

Observation fbb42287-9e04-4a78-96da-cff2dbcc8c95 · outbound

This paper cites The Boosted Trees model is available from https://github.com/dmlc/xgboost.

Interpretable Artificial Intelligence for Detecting Acute Heart Failure on Acute Chest CT Scans The Boosted Trees model is available from https://github.com/dmlc/xgboost

Reference 15

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation ef2276a5-8ddb-4bad-914e-89ca7aaac01e · outbound

This paper cites 2021 ESC Guidelines for the diagnosis and treatment of acute and chronic heart failure.

Interpretable Artificial Intelligence for Detecting Acute Heart Failure on Acute Chest CT Scans 2021 ESC Guidelines for the diagnosis and treatment of acute and chronic heart failure

Reference 16

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 731b077d-68fa-490e-8c58-0abde6e266cb · outbound

This paper cites National trends in use of computed tomography in the emergency department.

Interpretable Artificial Intelligence for Detecting Acute Heart Failure on Acute Chest CT Scans National trends in use of computed tomography in the emergency department

Reference 17

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doi, observed 2026-08-06T18:12:26.568120Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation ed36fb40-288b-4d8d-8f95-a89f99f5edc0 · outbound

This paper cites Impact of Artificial Intelligence Assistance on Chest CT Interpretation Times: A Prospective Randomized Study.

Interpretable Artificial Intelligence for Detecting Acute Heart Failure on Acute Chest CT Scans Impact of Artificial Intelligence Assistance on Chest CT Interpretation Times: A Prospective Randomized Study

Reference 18

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 95866f90-2e41-4a26-a53b-89cd8b651ba6 · outbound

This paper cites Xgboost: A scalable tree boosting system.

Interpretable Artificial Intelligence for Detecting Acute Heart Failure on Acute Chest CT Scans Xgboost: A scalable tree boosting system

Reference 19

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 7a5a2f06-9b6c-49a3-97c3-0ef0fa921341 · outbound

This paper cites Chest computed tomography features of heart failure: A prospective observational study in patients with acute dyspnea.

Interpretable Artificial Intelligence for Detecting Acute Heart Failure on Acute Chest CT Scans Chest computed tomography features of heart failure: A prospective observational study in patients with acute dyspnea

Reference 20

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raw_fallback, observed 2026-08-06T18:12:26.888657Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 7bde9df1-53be-458d-a01d-efab67948b49 · outbound

This paper cites TotalSegmentator: robust segmentation of 104 anatomical structures in CT images.

Interpretable Artificial Intelligence for Detecting Acute Heart Failure on Acute Chest CT Scans TotalSegmentator: robust segmentation of 104 anatomical structures in CT images

Reference 21

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:12:26.310117Z digest=sha256:7b58b867489d42943fbd38a2ad28842d4a3ce6cd083eff5fba742c6e7f6687c0

Observation 445906fa-005e-4732-9224-597fbddaa9a7 · outbound

This paper cites From Local Explanations to Global Understanding with Explainable AI for Trees.

Interpretable Artificial Intelligence for Detecting Acute Heart Failure on Acute Chest CT Scans From Local Explanations to Global Understanding with Explainable AI for Trees

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:12:26.834302Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 85349b22-d50c-44ef-a441-87d68248d170 · outbound

This paper cites Artificial Intelligence in Cardiovascular CT and MR Imaging.

Interpretable Artificial Intelligence for Detecting Acute Heart Failure on Acute Chest CT Scans Artificial Intelligence in Cardiovascular CT and MR Imaging

Reference 23

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verified fuzzy
raw_fallback, observed 2026-08-06T18:12:26.764134Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 72fd3b54-94c7-4c34-8d33-6b5c7d574fa0 · outbound

This paper cites Subclinical Pulmonary Congestion and Abnormal Hemodynamics in Heart Failure With Preserved Ejection Fraction.

Interpretable Artificial Intelligence for Detecting Acute Heart Failure on Acute Chest CT Scans Subclinical Pulmonary Congestion and Abnormal Hemodynamics in Heart Failure With Preserved Ejection Fraction

Reference 24

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 4f257b4a-7e3b-489e-ade4-312348838597 · outbound

This paper cites Development of computer-aided model to differentiate COVID-19 from pulmonary edema in lung CT scan: EDECOVID-net.

Interpretable Artificial Intelligence for Detecting Acute Heart Failure on Acute Chest CT Scans Development of computer-aided model to differentiate COVID-19 from pulmonary edema in lung CT scan: EDECOVID-net

Reference 25

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 33645e01-230c-46a1-8de9-6ca83c48adca · outbound

This paper cites Text extraction.

Interpretable Artificial Intelligence for Detecting Acute Heart Failure on Acute Chest CT Scans Text extraction

Reference 26

Resolution
verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Pith citing papers

No inbound Pith citation observations are available.