Paper Citation Record · LEDGER

Multi-Source COVID-19 Detection via Variance Risk Extrapolation

As of 8 August 2026, this Paper Citation Record lists 18 of 18 outbound references and 1 inbound Pith citation observation for arXiv:2506.23208.

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

pith.paper-citation-record.v1
2506.23208 v1

Coverage vector

measured 18 of 18 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T21:51:42.192808Z

measured 19 of 19 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+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 2026-05-15T09:45:23.378493Z

Reference resolution

18 of 18 outbound references displayed

verified exact0
verified fuzzy4
unresolved14
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e1c78704-c64d-4baf-a1da-b1171390b757 · outbound

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

Multi-Source COVID-19 Detection via Variance Risk Extrapolation A large imaging database and novel deep neural ar- chitecture for covid-19 diagnosis

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-06T21:51:39.839099Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0719b5fc-ad5c-4829-be65-d0010d06b272 · outbound

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

Multi-Source COVID-19 Detection via Variance Risk Extrapolation Data-driven covid-19 detection through medical imaging

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-06T21:51:39.958914Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e164bd17-a619-454d-9d11-30b015f93531 · 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 Variance Risk Extrapolation Covid- 19 computer-aided diagnosis through ai-assisted ct imaging analysis: Deploying a medical ai system

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-06T21:51:40.147036Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 27f2045a-f630-4b74-bab9-b0e4b6818530 · outbound

This paper cites Cmc-cov19d: Contrastive mixup classification for covid-19 diagnosis.

Multi-Source COVID-19 Detection via Variance Risk Extrapolation Cmc-cov19d: Contrastive mixup classification for covid-19 diagnosis

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:51:43.057920Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 5e033624-9d11-4a8b-83d9-df8043349dc9 · outbound

This paper cites Periphery-aware covid-19 diagnosis with contrastive repre- sentation enhancement.

Multi-Source COVID-19 Detection via Variance Risk Extrapolation Periphery-aware covid-19 diagnosis with contrastive repre- sentation enhancement

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-06T21:51:40.476494Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a26c8c84-9966-4a39-abff-31ebcad9e250 · outbound

This paper cites Cmc v2: Towards more accu- rate covid-19 detection with discriminative video priors.

Multi-Source COVID-19 Detection via Variance Risk Extrapolation Cmc v2: Towards more accu- rate covid-19 detection with discriminative video priors

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:51:42.798744Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation ec4d4bf7-8788-47a5-9afc-01b696a357bc · outbound

This paper cites Boosting covid-19 severity detec- tion with infection-aware contrastive mixup classification.

Multi-Source COVID-19 Detection via Variance Risk Extrapolation Boosting covid-19 severity detec- tion with infection-aware contrastive mixup classification

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:51:42.587698Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 29e127eb-b373-4701-8a61-3e19c63e2ee6 · outbound

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

Multi-Source COVID-19 Detection via Variance Risk Extrapolation Deep neural archi- tectures for prediction in healthcare

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-06T21:51:40.931155Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dbc138d9-cb41-4cbb-a7b7-2ead40970356 · outbound

This paper cites Deep Transparent Prediction through Latent Representation Analysis.

Multi-Source COVID-19 Detection via Variance Risk Extrapolation Deep Transparent Prediction through Latent Representation Analysis

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-06T21:51:41.075920Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a458f7d6-5887-4b2b-902c-c67228bfd07d · outbound

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

Multi-Source COVID-19 Detection via Variance Risk Extrapolation Transpar- ent adaptation in deep medical image diagnosis

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-06T21:51:41.210301Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 605364ab-062b-4386-a633-1494e6cbc11e · outbound

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

Multi-Source COVID-19 Detection via Variance Risk Extrapolation Mia-cov19d: Covid-19 detection through 3-d chest ct image analysis

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-06T21:51:41.376676Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 51dbe63a-dc7f-40f4-885a-41f20dbdea86 · outbound

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

Multi-Source COVID-19 Detection via Variance Risk Extrapolation Ai-mia: Covid-19 detection and severity analysis through medical imaging

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-06T21:51:41.548413Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 926fc845-1043-49fd-a9e6-2e8ef750237f · 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 Variance Risk Extrapolation Ai-enabled analysis of 3-d ct scans for diagnosis of covid-19 & its severity

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-06T21:51:41.677959Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 22ab747c-7491-426d-a7f9-ac1c394feaec · 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 Variance Risk Extrapolation A deep neural architecture for harmonizing 3-d input data analysis and decision making in medical imaging

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-06T21:51:41.790820Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eb8d6aa3-b94a-4deb-8661-b5c57430e5a7 · 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 Variance Risk Extrapolation Domain adaptation explainability & fairness in ai for medical image analysis: Diagnosis of covid-19 based on 3-d chest ct-scans

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-06T21:51:41.912062Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 40c400b9-61b7-467b-8b94-751380425c1f · outbound

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

Multi-Source COVID-19 Detection via Variance Risk Extrapolation SAM2CLIP2SAM: Vision Language Model for Segmentation of 3D CT Scans for Covid-19 Detection

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-06T21:51:42.053095Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 191a223d-3644-4c3d-a3d8-1496708b7b70 · outbound

This paper cites Out-of-distribution general- ization via risk extrapolation (rex).

Multi-Source COVID-19 Detection via Variance Risk Extrapolation Out-of-distribution general- ization via risk extrapolation (rex)

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:51:42.382312Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 14bfe113-3dd2-453c-ae41-27e3f517f61b · outbound

This paper cites mixup: Beyond Empirical Risk Minimization.

Multi-Source COVID-19 Detection via Variance Risk Extrapolation mixup: Beyond Empirical Risk Minimization

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-06T21:51:42.192808Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation b0708898-862a-47e3-bf69-857b79639c56 · 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 Variance Risk Extrapolation

Reference 27

Resolution: verified exact; arxiv_id, observed 2026-05-15T09:45:23.381828Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.