Pith. sign in

Paper Citation Record · LEDGER

COVID-CT-Dataset: A CT Scan Dataset about COVID-19

As of 4 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2003.13865.

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

pith.paper-citation-record.v1
2003.13865 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-29T22:37:10.959985Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-29T22:44:01.646729Z

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 89ea57b6-d19d-4b0c-a184-d188fa7fb768 · inbound

Lost in the Hype: Revealing and Dissecting the Performance Degradation of Medical Multimodal Large Language Models in Image Classification cites this paper.

Lost in the Hype: Revealing and Dissecting the Performance Degradation of Medical Multimodal Large Language Models in Image Classification COVID-CT-Dataset: A CT Scan Dataset about COVID-19

Reference 47

Resolution
verified exact
arxiv_id, observed 2026-05-11T05:21:00.795943Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T18:11:13.523021Z digest=sha256:3f3669456173f903586d29e491daa3a7584d4a2bef81e44fc91543c471c9c3fd

Observation 8fa1ce39-6a7c-4939-83d3-4ee3415d8c25 · inbound

MedRCube: A Multidimensional Framework for Fine-Grained and In-Depth Evaluation of MLLMs in Medical Imaging cites this paper.

MedRCube: A Multidimensional Framework for Fine-Grained and In-Depth Evaluation of MLLMs in Medical Imaging COVID-CT-Dataset: A CT Scan Dataset about COVID-19

Reference 80

Resolution
verified exact
arxiv_id, observed 2026-05-10T12:50:25.248990Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-10T12:47:27.551670Z digest=sha256:f9cb7a608a20e070748b248e2eb326979ef6c031dfa83b32dd3666c16d0f5de4

Observation ded49984-0c26-4e37-afe0-7ed593fcfdce · inbound

Deep Reprogramming Distillation for Medical Foundation Models cites this paper.

Deep Reprogramming Distillation for Medical Foundation Models COVID-CT-Dataset: A CT Scan Dataset about COVID-19

Reference 55

Resolution
verified exact
arxiv_id, observed 2026-05-09T06:25:38.818329Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-08T18:30:36.882621Z digest=sha256:e5dcadeec4ef54775459897ed62df8298d95556d4435667d43784e129fe13747

Observation 1ae6740d-f5ef-4be4-bfba-d2adb5d78bbc · inbound

A multifractal-based masked auto-encoder: an application to medical images cites this paper.

A multifractal-based masked auto-encoder: an application to medical images COVID-CT-Dataset: A CT Scan Dataset about COVID-19

Reference 18

Resolution
verified exact
arxiv_id, observed 2026-06-29T22:44:01.648305Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-29T22:37:10.959985Z digest=sha256:4d7a25ac4d2041b874ae0b7735cc46553260b6b8d1a09b1297f3aa6addff4e7f