Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Normalization through Fine-tuning: Understanding Wav2vec 2.0 Embeddings for Phonetic Analysis
As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2503.04814.
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 2026-08-21T06:32:19.484+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-15T19:11:59.390191Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-05T13:03:15.303167Z
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 f95fc1ee-9516-411e-aaf2-b94a6e84c141 · inbound
Probing for Phonology in Self-Supervised Speech Representations: A Case Study on Accent Perception cites this paper.
Probing for Phonology in Self-Supervised Speech Representations: A Case Study on Accent Perception Normalization through Fine-tuning: Understanding Wav2vec 2.0 Embeddings for Phonetic Analysis
Reference 68
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T19:11:59.390191Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 24d34e61-2254-4485-8512-2e03bb9d8fe3 · inbound
"How to Explore Biases in Speech Emotion AI with Users?" A Speech-Emotion-Acting Study Exploring Age and Language Biases cites this paper.
"How to Explore Biases in Speech Emotion AI with Users?" A Speech-Emotion-Acting Study Exploring Age and Language Biases Normalization through Fine-tuning: Understanding Wav2vec 2.0 Embeddings for Phonetic Analysis
Reference 41
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T16:48:56.195641Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e398259c-18a6-4a83-859a-5f48d35cb580 · inbound
A Unified Denoising and Adaptation Framework for Self-Supervised Bengali Dialectal ASR cites this paper.
A Unified Denoising and Adaptation Framework for Self-Supervised Bengali Dialectal ASR Normalization through Fine-tuning: Understanding Wav2vec 2.0 Embeddings for Phonetic Analysis
Reference 37
- Resolution
- verified exact
- local_arxiv, observed 2026-08-05T13:03:15.408109Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.