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Paper Citation Record · LEDGER

Classification of COVID-19 cases from chest CT volumes using hybrid model of 3D CNN and 3D MLP-Mixer

As of 22 August 2026, this Paper Citation Record lists 7 of 7 outbound references and 0 inbound Pith citation observations for arXiv:2607.28978.

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

pith.paper-citation-record.v1
2607.28978 v1

Coverage vector

measured 7 of 7 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-03T16:12:10.295117Z

measured 7 of 7 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 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

7 of 7 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved7
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 1464efe8-ea88-4aaa-8510-e962a15c4f0a · outbound

This paper cites Coronavirus Update.

Classification of COVID-19 cases from chest CT volumes using hybrid model of 3D CNN and 3D MLP-Mixer Coronavirus Update

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-03T16:12:09.359007Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T16:12:09.359007Z digest=sha256:2864bf0c166e161d5ad4ba92f1b5aa0dba61160487077a58b8988fe5d89d447b

Observation 15e2aef4-9b4b-4ba1-bdde-4eb7b2c6ef4e · outbound

This paper cites U., Abbara, S., Bhalla, S., Chung, J.

Classification of COVID-19 cases from chest CT volumes using hybrid model of 3D CNN and 3D MLP-Mixer U., Abbara, S., Bhalla, S., Chung, J

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-03T16:12:09.517010Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T16:12:09.517010Z digest=sha256:21a89554afdac57a91164083bae8221e28ae875105b1f6541b59297cba754828

Observation d5058535-21d1-4f6c-9400-e17eabf42928 · outbound

This paper cites Correlation of chest CT and RT-PCR testing for coronavirus disease 2019 (COVID-19) in china: A report of 1014 cases,.

Classification of COVID-19 cases from chest CT volumes using hybrid model of 3D CNN and 3D MLP-Mixer Correlation of chest CT and RT-PCR testing for coronavirus disease 2019 (COVID-19) in china: A report of 1014 cases,

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-03T16:12:09.698343Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T16:12:09.698343Z digest=sha256:5d1174d78b8b6ca156fb0b8ca842d959e476db76482bd944f6a4cb8589c7b293

Observation 6522446b-8907-4c7b-a206-a2c91169feef · outbound

This paper cites An image is worth 16x16 words: Trans- formers for image recognition at scale,.

Classification of COVID-19 cases from chest CT volumes using hybrid model of 3D CNN and 3D MLP-Mixer An image is worth 16x16 words: Trans- formers for image recognition at scale,

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-03T16:12:09.866113Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T16:12:09.866113Z digest=sha256:799cbeab108f3771aa0930a61d49b4ca06b95a9d0899fa2eeac45c24e9fc216b

Observation 564e44f8-64bf-498c-9061-3d99d7112d25 · outbound

This paper cites MLP-Mixer: An all-MLP Architecture for Vision.

Classification of COVID-19 cases from chest CT volumes using hybrid model of 3D CNN and 3D MLP-Mixer MLP-Mixer: An all-MLP Architecture for Vision

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-03T16:12:10.026048Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T16:12:10.026048Z digest=sha256:0b5783b1e09ad2b375c276155f2fbb0cd17c4263db9f233b8906208dbdbc5a17

Observation 107078d9-931d-4962-8d8d-199ece89a09d · outbound

This paper cites Lung infection and normal region segmentation from CT volumes of COVID-19 cases,.

Classification of COVID-19 cases from chest CT volumes using hybrid model of 3D CNN and 3D MLP-Mixer Lung infection and normal region segmentation from CT volumes of COVID-19 cases,

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-03T16:12:10.158139Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T16:12:10.158139Z digest=sha256:85c45cbc3f98d1f771c968f01157867e14c82ccf7e9275718145816b2c5c5cf4

Observation 4fbe48b2-4a52-49ad-b373-4ad60ab5bf13 · outbound

This paper cites A multitask learning architecture for simultaneous segmentation of bright and red lesions in fundus images,.

Classification of COVID-19 cases from chest CT volumes using hybrid model of 3D CNN and 3D MLP-Mixer A multitask learning architecture for simultaneous segmentation of bright and red lesions in fundus images,

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-03T16:12:10.295117Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T16:12:10.295117Z digest=sha256:dc3cebbdbf35616271e3f6579f6a0db0c36e44bc4abed8eeb865ed482a16fbe8

Pith citing papers

No inbound Pith citation observations are available.