Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Audio-Agent: Leveraging LLMs For Audio Generation, Editing and Composition
As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2410.03335.
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 2026-08-20T06:33:59.587034+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-15T23:59:00.049332Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-04T05:39:39.408877Z
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 a7d738ce-545d-4052-81f0-b346fc37a29c · 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 Audio-Agent: Leveraging LLMs For Audio Generation, Editing and Composition
Reference 223
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T04:36:38.060986Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 359944dc-5779-4558-a879-c3fa417ca82c · inbound
SonicRAG : High Fidelity Sound Effects Synthesis Based on Retrival Augmented Generation cites this paper.
SonicRAG : High Fidelity Sound Effects Synthesis Based on Retrival Augmented Generation Audio-Agent: Leveraging LLMs For Audio Generation, Editing and Composition
Reference 5
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T23:59:00.049332Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 73930923-0f38-4e9a-b494-22d38efcd2c9 · inbound
Generative Audio Language Modeling with Continuous-valued Tokens and Masked Next-Token Prediction cites this paper.
Generative Audio Language Modeling with Continuous-valued Tokens and Masked Next-Token Prediction Audio-Agent: Leveraging LLMs For Audio Generation, Editing and Composition
Reference 90
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T17:52:01.491237Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a53be4e8-7d35-4f7e-8f36-7d6fc42cd438 · inbound
RFM-Editing 2: Text-Guided Audio Editing with Rectified Flow Matching and Coarse-to-Fine Diffusion Transformers cites this paper.
RFM-Editing 2: Text-Guided Audio Editing with Rectified Flow Matching and Coarse-to-Fine Diffusion Transformers Audio-Agent: Leveraging LLMs For Audio Generation, Editing and Composition
Reference 48
- Resolution
- verified exact
- arxiv_id, observed 2026-07-04T05:39:39.410812Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation da3819d0-85f1-4ad0-b149-0daec444438d · inbound
RFM-Editing 2: Text-Guided Audio Editing with Rectified Flow Matching and Coarse-to-Fine Diffusion Transformers cites this paper.
RFM-Editing 2: Text-Guided Audio Editing with Rectified Flow Matching and Coarse-to-Fine Diffusion Transformers Audio-Agent: Leveraging LLMs For Audio Generation, Editing and Composition
Reference 48
- Resolution
- verified exact
- arxiv_id, observed 2026-07-03T23:39:02.993329Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation e3beb93c-60a0-40ac-99c1-95c48f9f47b2 · inbound
RFM-Editing 2: Text-Guided Audio Editing with Rectified Flow Matching and Coarse-to-Fine Diffusion Transformers cites this paper.
RFM-Editing 2: Text-Guided Audio Editing with Rectified Flow Matching and Coarse-to-Fine Diffusion Transformers Audio-Agent: Leveraging LLMs For Audio Generation, Editing and Composition
Reference 48
- Resolution
- unresolved
- no resolver link, observed 2026-07-15T10:41:34.347336Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.