Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Performance Improvement of Language-Queried Audio Source Separation Based on Caption Augmentation From Large Language Models for DCASE Challenge 2024 Task 9
As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2406.11248.
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 2026-08-22T06:32:14.747728+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-15T19:24:37.044527Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-10T04:36:39.484955Z
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 27ec021b-2048-4080-af55-cf8f2c211cc6 · inbound
Multimodal Large Language Models for Image, Text, and Speech Data Augmentation: A Survey cites this paper.
Multimodal Large Language Models for Image, Text, and Speech Data Augmentation: A Survey Performance Improvement of Language-Queried Audio Source Separation Based on Caption Augmentation From Large Language Models for DCASE Challenge 2024 Task 9
Reference 225
- Resolution
- verified exact
- local_arxiv, observed 2026-08-10T04:36:39.491498Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 978187c4-3899-4453-8a01-1c9cb1fa440a · inbound
Hybrid-Sep: Language-queried audio source separation via pre-trained Model Fusion and Adversarial Diffusion Training cites this paper.
Hybrid-Sep: Language-queried audio source separation via pre-trained Model Fusion and Adversarial Diffusion Training Performance Improvement of Language-Queried Audio Source Separation Based on Caption Augmentation From Large Language Models for DCASE Challenge 2024 Task 9
Reference 3
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T19:24:37.044527Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.