Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
VoiceTextBlender: Augmenting Large Language Models with Speech Capabilities via Single-Stage Joint Speech-Text Supervised Fine-Tuning
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2410.17485.
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 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-10T04:36:38.134391Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-07T04:54:03.021809Z
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 f12899e0-d08a-431e-93e9-eb37d38b666e · 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 VoiceTextBlender: Augmenting Large Language Models with Speech Capabilities via Single-Stage Joint Speech-Text Supervised Fine-Tuning
Reference 237
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T04:36:38.134391Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 44cf86a3-558d-4733-aef5-f4892ad12fe8 · inbound
OWSM-Biasing: Contextualizing Open Whisper-Style Speech Models for Automatic Speech Recognition with Dynamic Vocabulary cites this paper.
OWSM-Biasing: Contextualizing Open Whisper-Style Speech Models for Automatic Speech Recognition with Dynamic Vocabulary VoiceTextBlender: Augmenting Large Language Models with Speech Capabilities via Single-Stage Joint Speech-Text Supervised Fine-Tuning
Reference 22
- Resolution
- verified exact
- local_arxiv, observed 2026-08-07T04:54:03.157702Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.