Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Effective and Efficient Mixed Precision Quantization of Speech Foundation Models
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2501.03643.
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 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T13:07:43.930104Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-09T06:00:36.654828Z
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 fd737b77-4776-45d5-aadc-8b32298875a9 · inbound
Effective and Efficient One-pass Compression of Speech Foundation Models Using Sparsity-aware Self-pinching Gates cites this paper.
Effective and Efficient One-pass Compression of Speech Foundation Models Using Sparsity-aware Self-pinching Gates Effective and Efficient Mixed Precision Quantization of Speech Foundation Models
Reference 19
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T13:07:43.930104Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6b178c9c-c22a-4872-93bd-4e2aee4a5b69 · inbound
Mixed-Precision Information Bottlenecks for On-Device Trait-State Disentanglement in Bipolar Agitation Detection cites this paper.
Mixed-Precision Information Bottlenecks for On-Device Trait-State Disentanglement in Bipolar Agitation Detection Effective and Efficient Mixed Precision Quantization of Speech Foundation Models
Reference 103
- Resolution
- verified exact
- arxiv_id, observed 2026-05-09T06:00:36.656504Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.