Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Learning to Unify Audio, Visual and Text for Audio-Enhanced Multilingual Visual Answer Localization
As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2411.02851.
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 2026-08-15T22:35:59.050670Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-06T19:55:41.663672Z
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 7479754d-4183-4d75-8184-07cae77cb536 · inbound
Overview of the NLPCC 2025 Shared Task 4: Multi-modal, Multilingual, and Multi-hop Medical Instructional Video Question Answering Challenge cites this paper.
Overview of the NLPCC 2025 Shared Task 4: Multi-modal, Multilingual, and Multi-hop Medical Instructional Video Question Answering Challenge Learning to Unify Audio, Visual and Text for Audio-Enhanced Multilingual Visual Answer Localization
Reference 8
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T22:35:59.050670Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ae9b021d-1696-414d-a9a4-0abf85f939f4 · 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 Learning to Unify Audio, Visual and Text for Audio-Enhanced Multilingual Visual Answer Localization
Reference 2024
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-08-06T19:55:41.732422Z
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.