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Paper Citation Record · LEDGER

A Hybrid Deep Learning CNN Model for Enhanced COVID-19 Detection from Computed Tomography (CT) Scan Images

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2501.17160.

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

pith.paper-citation-record.v1
2501.17160 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T15:22:31.312919Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-10T13:40:56.464990Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation aa5ccca8-95c5-4ef7-a6b9-8560901b7e36 · inbound

UltraLightSqueezeNet: A Deep Learning Architecture for Malaria Classification with up to 54x fewer trainable parameters for resource constrained devices cites this paper.

UltraLightSqueezeNet: A Deep Learning Architecture for Malaria Classification with up to 54x fewer trainable parameters for resource constrained devices A Hybrid Deep Learning CNN Model for Enhanced COVID-19 Detection from Computed Tomography (CT) Scan Images

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-10T15:22:31.312919Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T15:22:31.312919Z digest=sha256:b3bafbdb924df65222c40c8dd1f8cb33eaefd19588a453c99c7709bc028af044

Observation 068ed80e-a645-44d3-9ff8-c8db75ca4589 · inbound

Lightweight Weighted Average Ensemble Model for Pneumonia Detection in Chest X-Ray Images cites this paper.

Lightweight Weighted Average Ensemble Model for Pneumonia Detection in Chest X-Ray Images A Hybrid Deep Learning CNN Model for Enhanced COVID-19 Detection from Computed Tomography (CT) Scan Images

Reference 13

Resolution
verified exact
local_arxiv, observed 2026-08-10T13:40:56.469299Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-10T13:40:54.725590Z digest=sha256:bbb3370e83f4729d52a5afc99bf5e143eeb67e5ffe5c4db08b5c2f656bc9bbca