Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Predicting within and across language phoneme recognition performance of self-supervised learning speech pre-trained models
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2206.12489.
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 2026-08-07T12:00:11.722250Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-01T11:55:42.392122Z
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 5d2ce58f-ac88-44b7-bbdd-7403a9ea9228 · inbound
Counterfactual Activation Editing for Post-hoc Prosody and Mispronunciation Correction in TTS Models cites this paper.
Counterfactual Activation Editing for Post-hoc Prosody and Mispronunciation Correction in TTS Models Predicting within and across language phoneme recognition performance of self-supervised learning speech pre-trained models
Reference 31
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:00:11.722250Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 988818f4-3966-4d3f-9eb3-e8159857cd39 · inbound
How Bilingual Are SSL Speech Models? Cross-Lingual Probing of Articulatory Encoding with Finnish and Russian EMA cites this paper.
How Bilingual Are SSL Speech Models? Cross-Lingual Probing of Articulatory Encoding with Finnish and Russian EMA Predicting within and across language phoneme recognition performance of self-supervised learning speech pre-trained models
Reference 15
- Resolution
- verified exact
- arxiv_id, observed 2026-07-01T11:55:42.394005Z
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.