Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
BIMCV COVID-19+: a large annotated dataset of RX and CT images from COVID-19 patients
As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2006.01174.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-11T21:10:16.583739Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-06-28T19:22:34.667390Z
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 a699af22-7f34-45e2-a6bd-c557fd449c8e · inbound
Advance Warning Methodologies for COVID-19 using Chest X-Ray Images cites this paper.
Advance Warning Methodologies for COVID-19 using Chest X-Ray Images BIMCV COVID-19+: a large annotated dataset of RX and CT images from COVID-19 patients
Reference 46
- Resolution
- verified exact
- arxiv_id, observed 2026-05-24T14:29:34.499628Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 70351da4-cd14-4844-94ea-7de82b18124b · inbound
Gla-AI4BioMed at RRG24: Visual Instruction-tuned Adaptation for Radiology Report Generation cites this paper.
Gla-AI4BioMed at RRG24: Visual Instruction-tuned Adaptation for Radiology Report Generation BIMCV COVID-19+: a large annotated dataset of RX and CT images from COVID-19 patients
Reference 10
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T21:10:16.583739Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5f09bb6e-7781-4657-928f-6532982933aa · inbound
Chest X-ray Foundation Model with Global and Local Representations Integration cites this paper.
Chest X-ray Foundation Model with Global and Local Representations Integration BIMCV COVID-19+: a large annotated dataset of RX and CT images from COVID-19 patients
Reference 48
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T20:10:52.377085Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9b7b0d48-f840-4c17-bd69-13f7335581b7 · inbound
A Generative Foundation Model for Chest Radiography cites this paper.
A Generative Foundation Model for Chest Radiography BIMCV COVID-19+: a large annotated dataset of RX and CT images from COVID-19 patients
Reference 17
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T10:38:06.245677Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5c0a86d6-74c3-4f78-843d-406806342d23 · inbound
Noise Injection: Improving Out-of-Distribution Generalization for Limited Size Datasets cites this paper.
Noise Injection: Improving Out-of-Distribution Generalization for Limited Size Datasets BIMCV COVID-19+: a large annotated dataset of RX and CT images from COVID-19 patients
Reference 7
- Resolution
- verified exact
- arxiv_id, observed 2026-05-18T00:35:33.051198Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 12965122-f926-4307-8459-04aec5472689 · inbound
CheXmix: Unified Generative Pretraining for Vision Language Models in Medical Imaging cites this paper.
CheXmix: Unified Generative Pretraining for Vision Language Models in Medical Imaging BIMCV COVID-19+: a large annotated dataset of RX and CT images from COVID-19 patients
Reference 40
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T19:16:09.738120Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 4e71e4a2-c29c-42ac-9a46-a3af07c3b72a · inbound
TINS: Test-time ID-prototype-separated Negative Semantics Learning for OOD Detection cites this paper.
TINS: Test-time ID-prototype-separated Negative Semantics Learning for OOD Detection BIMCV COVID-19+: a large annotated dataset of RX and CT images from COVID-19 patients
Reference 48
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T06:41:43.647801Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 7c4f571e-fac3-40ad-a006-1f027f5c6f2a · inbound
ASAP: Advancing Medical Volumetric Representation Learning with Anatomy-aware Semantically-adaptive Pre-training cites this paper.
ASAP: Advancing Medical Volumetric Representation Learning with Anatomy-aware Semantically-adaptive Pre-training BIMCV COVID-19+: a large annotated dataset of RX and CT images from COVID-19 patients
Reference 38
- Resolution
- verified exact
- arxiv_id, observed 2026-06-28T19:22:34.668852Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 004aa220-bc7a-464e-b68a-fb9802211f67 · inbound
CARE-X: Towards Clinically Useful Radiology VLMs with Auxiliary Supervision, Reward-Aligned Learning, and Tool-Augmented Measurement cites this paper.
CARE-X: Towards Clinically Useful Radiology VLMs with Auxiliary Supervision, Reward-Aligned Learning, and Tool-Augmented Measurement BIMCV COVID-19+: a large annotated dataset of RX and CT images from COVID-19 patients
Reference 120
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T10:23:59.125594Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.