Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Gotta Hear Them All: Towards Sound Source Aware Audio Generation
As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2411.15447.
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 2026-08-11T06:34:44.6726+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-10T20:27:03.794177Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-10T09:59:03.516258Z
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 e762b05d-a28f-45fe-a7d5-0e7fd3fc0cdf · inbound
Sound Scene Synthesis at the DCASE 2024 Challenge cites this paper.
Sound Scene Synthesis at the DCASE 2024 Challenge Gotta Hear Them All: Towards Sound Source Aware Audio Generation
Reference 42
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T20:27:03.794177Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f2e25c47-60b7-42a2-a8ee-70597ef18393 · inbound
AGAV-Rater: Adapting Large Multimodal Model for AI-Generated Audio-Visual Quality Assessment cites this paper.
AGAV-Rater: Adapting Large Multimodal Model for AI-Generated Audio-Visual Quality Assessment Gotta Hear Them All: Towards Sound Source Aware Audio Generation
Reference 19
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T00:02:26.143618Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d24af8ac-82f1-484e-9ffd-09890d7b1ed3 · inbound
AudioGenie: A Training-Free Multi-Agent Framework for Diverse Multimodality-to-Multiaudio Generation cites this paper.
AudioGenie: A Training-Free Multi-Agent Framework for Diverse Multimodality-to-Multiaudio Generation Gotta Hear Them All: Towards Sound Source Aware Audio Generation
Reference 19
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T13:21:54.732077Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 03ba7b75-97c6-4683-9c90-352d36f6924d · inbound
Sounding that Object: Interactive Object-Aware Image to Audio Generation cites this paper.
Sounding that Object: Interactive Object-Aware Image to Audio Generation Gotta Hear Them All: Towards Sound Source Aware Audio Generation
Reference 13
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T10:53:16.014440Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c6287a5a-e2a2-4eb9-b721-dc9c351a945b · inbound
Geo2Sound: A Scalable Geo-Aligned Framework for Soundscape Generation from Satellite Imagery cites this paper.
Geo2Sound: A Scalable Geo-Aligned Framework for Soundscape Generation from Satellite Imagery Gotta Hear Them All: Towards Sound Source Aware Audio Generation
Reference 19
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T09:59:03.518374Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.