Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
NurViD: A Large Expert-Level Video Database for Nursing Procedure Activity Understanding
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2310.13347.
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 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T00:27:35.346061Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-06T19:55:41.338547Z
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 ccdbb0d6-fc57-4d0d-8114-9d6455a9ecb2 · inbound
Meta-SurDiff: Classification Diffusion Model Optimized by Meta Learning is Reliable for Online Surgical Phase Recognition cites this paper.
Meta-SurDiff: Classification Diffusion Model Optimized by Meta Learning is Reliable for Online Surgical Phase Recognition NurViD: A Large Expert-Level Video Database for Nursing Procedure Activity Understanding
Reference 19
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T00:27:35.346061Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 473ed0fc-616c-46b1-a6b0-c80447ec3472 · inbound
M$^3$-Med: A Benchmark for Multi-lingual, Multi-modal, and Multi-hop Reasoning in Medical Instructional Video Understanding cites this paper.
M$^3$-Med: A Benchmark for Multi-lingual, Multi-modal, and Multi-hop Reasoning in Medical Instructional Video Understanding NurViD: A Large Expert-Level Video Database for Nursing Procedure Activity Understanding
Reference 2020
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-08-06T19:55:41.397567Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.