Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Hybrid Transformers for Music Source Separation
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2211.08553.
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 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-02T18:03:41.035860Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-13T04:52:17.227960Z
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 53bffafb-423c-45c9-89f0-cc72ef788c8a · inbound
Making Separation-First Multi-Stream Audio Watermarking Feasible via Joint Training cites this paper.
Making Separation-First Multi-Stream Audio Watermarking Feasible via Joint Training Hybrid Transformers for Music Source Separation
Reference 14
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T18:03:41.035860Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b4833b4d-b88d-47a8-b17c-34cd8c8cabc0 · inbound
ArtifactNet: Detecting AI-Generated Music via Forensic Residual Physics cites this paper.
ArtifactNet: Detecting AI-Generated Music via Forensic Residual Physics Hybrid Transformers for Music Source Separation
Reference 18
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T07:26:59.752392Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 3f878ccd-1a90-4bec-b32a-d8fba08c7983 · inbound
STRUM: A Spectral Transcription and Rhythm Understanding Model for End-to-End Generation of Playable Rhythm-Game Charts cites this paper.
STRUM: A Spectral Transcription and Rhythm Understanding Model for End-to-End Generation of Playable Rhythm-Game Charts Hybrid Transformers for Music Source Separation
Reference 5
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T04:52:17.229927Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.