Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
WavCraft: Audio Editing and Generation with Large Language Models
As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2403.09527.
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 2026-08-18T06:34:40.430872+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-11T21:56:41.932002Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-02T20:07:21.601592Z
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 22a16cda-52f5-4139-850f-f95a9df2643d · inbound
Comprehensive Audio Query Handling System with Integrated Expert Models and Contextual Understanding cites this paper.
Comprehensive Audio Query Handling System with Integrated Expert Models and Contextual Understanding WavCraft: Audio Editing and Generation with Large Language Models
Reference 27
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T21:56:41.932002Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c2fb3cb0-5145-4d87-a554-dd3a76904bc3 · inbound
Learning Sparsity for Effective and Efficient Music Performance Question Answering cites this paper.
Learning Sparsity for Effective and Efficient Music Performance Question Answering WavCraft: Audio Editing and Generation with Large Language Models
Reference 38
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T11:50:43.326405Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4c41a948-3bf0-4c50-abe6-82abf5d5b579 · inbound
MMAE: A Massive Multitask Audio Editing Benchmark cites this paper.
MMAE: A Massive Multitask Audio Editing Benchmark WavCraft: Audio Editing and Generation with Large Language Models
Reference 19
- Resolution
- verified exact
- arxiv_id, observed 2026-07-02T20:07:21.603571Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.