Paper Citation Record · LEDGER

Multi Source COVID-19 Detection via Kernel-Density-based Slice Sampling

As of 10 August 2026, this Paper Citation Record lists 20 of 20 outbound references and 1 inbound Pith citation observation for arXiv:2507.01564.

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

pith.paper-citation-record.v1
2507.01564 v2

Coverage vector

measured 20 of 20 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T20:51:57.398609Z

measured 21 of 21 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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-15T09:42:05.906583Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-15T09:45:23.356465Z

Reference resolution

20 of 20 outbound references displayed

verified exact0
verified fuzzy12
unresolved7
parse uncertain1
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation df583acb-9f36-4836-9319-3fade1513f25 · outbound

This paper cites A large imaging database and novel deep neural ar- chitecture for covid-19 diagnosis.

Multi Source COVID-19 Detection via Kernel-Density-based Slice Sampling A large imaging database and novel deep neural ar- chitecture for covid-19 diagnosis

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:51:58.589883Z

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.

Observation 1d4e418c-d103-4dff-be4b-eb5c050ef303 · outbound

This paper cites Data-driven covid-19 detection through medical imaging.

Multi Source COVID-19 Detection via Kernel-Density-based Slice Sampling Data-driven covid-19 detection through medical imaging

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:51:58.576607Z

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.

Observation ade8b440-7cd4-4098-afcc-26feaf5e8eaa · outbound

This paper cites Imagenet: A large-scale hierarchical image database.

Multi Source COVID-19 Detection via Kernel-Density-based Slice Sampling Imagenet: A large-scale hierarchical image database

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-06T20:51:55.840343Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 857d1672-5a34-4695-a959-c277c05dcf33 · outbound

This paper cites Covid- 19 computer-aided diagnosis through ai-assisted ct imaging analysis: Deploying a medical ai system.

Multi Source COVID-19 Detection via Kernel-Density-based Slice Sampling Covid- 19 computer-aided diagnosis through ai-assisted ct imaging analysis: Deploying a medical ai system

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:51:58.553845Z

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.

Observation 52b35d5e-a40c-4723-bda4-57108d228f0f · outbound

This paper cites Strong baseline and bag of tricks for covid-19 detection of ct scans, 2023.

Multi Source COVID-19 Detection via Kernel-Density-based Slice Sampling Strong baseline and bag of tricks for covid-19 detection of ct scans, 2023

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:51:58.539229Z

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.

Observation ba22ef49-2f0e-4595-9ddb-63c3749db927 · outbound

This paper cites Bag of tricks of hybrid network for covid-19 detection of ct scans.

Multi Source COVID-19 Detection via Kernel-Density-based Slice Sampling Bag of tricks of hybrid network for covid-19 detection of ct scans

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:51:58.526081Z

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.

Observation 05fdff1b-3ad1-40d0-81d6-8c40ea3511a3 · outbound

This paper cites A closer look at spatial-slice features learning for covid-19 detection.

Multi Source COVID-19 Detection via Kernel-Density-based Slice Sampling A closer look at spatial-slice features learning for covid-19 detection

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:51:58.512524Z

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.

Observation eb6d139f-aed0-451b-a377-1b68d7724d36 · outbound

This paper cites Simple 2d convolutional neural network-based ap- proach for covid-19 detection, 2024.

Multi Source COVID-19 Detection via Kernel-Density-based Slice Sampling Simple 2d convolutional neural network-based ap- proach for covid-19 detection, 2024

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:51:58.407929Z

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.

Observation bb4fb4e5-d6bf-4284-bda5-51d192c088af · outbound

This paper cites Deep neural archi- tectures for prediction in healthcare.

Multi Source COVID-19 Detection via Kernel-Density-based Slice Sampling Deep neural archi- tectures for prediction in healthcare

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:51:58.261815Z

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.

Observation 15cbb850-ecfa-4c09-b613-736b1692c96a · outbound

This paper cites Deep Transparent Prediction through Latent Representation Analysis.

Multi Source COVID-19 Detection via Kernel-Density-based Slice Sampling Deep Transparent Prediction through Latent Representation Analysis

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-06T20:51:56.576395Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3742cde8-2661-4130-b8da-8ed636c9370b · outbound

This paper cites Transpar- ent adaptation in deep medical image diagnosis.

Multi Source COVID-19 Detection via Kernel-Density-based Slice Sampling Transpar- ent adaptation in deep medical image diagnosis

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-06T20:51:56.664210Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation daa8df2b-0869-4a63-b832-5a17a43eac0e · outbound

This paper cites Mia-cov19d: Covid-19 detection through 3-d chest ct image analysis.

Multi Source COVID-19 Detection via Kernel-Density-based Slice Sampling Mia-cov19d: Covid-19 detection through 3-d chest ct image analysis

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:51:58.120739Z

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.

Observation c9b275e3-2974-4f48-aaf2-0fd1c12fb253 · outbound

This paper cites Ai-mia: Covid-19 detection and severity analysis through medical imaging.

Multi Source COVID-19 Detection via Kernel-Density-based Slice Sampling Ai-mia: Covid-19 detection and severity analysis through medical imaging

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:51:57.975249Z

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.

Observation 4867a0f5-d1c0-4a6e-938f-9f2400595429 · outbound

This paper cites Ai-enabled analysis of 3-d ct scans for diagnosis of covid-19 & its severity.

Multi Source COVID-19 Detection via Kernel-Density-based Slice Sampling Ai-enabled analysis of 3-d ct scans for diagnosis of covid-19 & its severity

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:51:57.832492Z

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.

Observation 5f899634-aa01-49b7-b6b8-2e33f0d3801a · outbound

This paper cites A deep neural architecture for harmonizing 3-d input data analysis and decision making in medical imaging.

Multi Source COVID-19 Detection via Kernel-Density-based Slice Sampling A deep neural architecture for harmonizing 3-d input data analysis and decision making in medical imaging

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-06T20:51:57.005033Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 09d5a04c-ec6c-4765-aae7-31cf82ba3e55 · outbound

This paper cites Domain adaptation explainability & fairness in ai for medical image analysis: Diagnosis of covid-19 based on 3-d chest ct-scans.

Multi Source COVID-19 Detection via Kernel-Density-based Slice Sampling Domain adaptation explainability & fairness in ai for medical image analysis: Diagnosis of covid-19 based on 3-d chest ct-scans

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-06T20:51:57.099270Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3d9e54b3-b31b-4742-8baf-031dcdecbed5 · outbound

This paper cites SAM2CLIP2SAM: Vision Language Model for Segmentation of 3D CT Scans for Covid-19 Detection.

Multi Source COVID-19 Detection via Kernel-Density-based Slice Sampling SAM2CLIP2SAM: Vision Language Model for Segmentation of 3D CT Scans for Covid-19 Detection

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-06T20:51:57.159522Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation db3784fa-5c34-4e90-9f06-e55cc0ec56e1 · outbound

This paper cites Swin Transformer: Hierarchical Vision Transformer using Shifted Windows.

Multi Source COVID-19 Detection via Kernel-Density-based Slice Sampling Swin Transformer: Hierarchical Vision Transformer using Shifted Windows

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-06T20:51:57.251459Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6d26b3f3-79ab-4f63-916f-f96d2b4ccb84 · outbound

This paper cites Efficientnet: Rethinking model scaling for convolutional neural networks.

Multi Source COVID-19 Detection via Kernel-Density-based Slice Sampling Efficientnet: Rethinking model scaling for convolutional neural networks

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:51:57.627885Z

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.

Observation 73d5bfa4-aae6-4e7f-b695-4b142a75d6ff · outbound

This paper cites an unresolved cited work.

Multi Source COVID-19 Detection via Kernel-Density-based Slice Sampling Unresolved cited work

Reference 2021

Resolution: parse uncertain; no resolver link, observed 2026-08-06T20:51:57.334777Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation e9bc6cb8-9c0c-48e7-a1ea-63ea822da90d · inbound

Towards Fair and Robust Volumetric CT Classification via KL-Regularised Group Distributionally Robust Optimisation cites this paper.

Towards Fair and Robust Volumetric CT Classification via KL-Regularised Group Distributionally Robust Optimisation Multi Source COVID-19 Detection via Kernel-Density-based Slice Sampling

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-05-15T09:45:23.359527Z

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.