Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
SpeechBERT: An Audio-and-text Jointly Learned Language Model for End-to-end Spoken Question Answering
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:1910.11559.
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 2026-08-07T12:52:39.184008Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-17T22:45:24.330275Z
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 f26246e6-ec86-4efd-a0b7-f86657cc9403 · inbound
Spoken question answering for visual queries cites this paper.
Spoken question answering for visual queries SpeechBERT: An Audio-and-text Jointly Learned Language Model for End-to-end Spoken Question Answering
Reference 15
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:52:39.184008Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fd5d21fa-3fc5-49d1-85db-b13ec0454e93 · inbound
Reasoning-Based Approach with Chain-of-Thought for Alzheimer's Detection Using Speech and Large Language Models cites this paper.
Reasoning-Based Approach with Chain-of-Thought for Alzheimer's Detection Using Speech and Large Language Models SpeechBERT: An Audio-and-text Jointly Learned Language Model for End-to-end Spoken Question Answering
Reference 44
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T11:40:12.061556Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f8f00b46-0b68-4800-8e03-04f7680dc0a4 · inbound
DeepEmoNet: Building Machine Learning Models for Automatic Emotion Recognition in Human Speeches cites this paper.
DeepEmoNet: Building Machine Learning Models for Automatic Emotion Recognition in Human Speeches SpeechBERT: An Audio-and-text Jointly Learned Language Model for End-to-end Spoken Question Answering
Reference 2
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T18:31:36.143610Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d97dea7c-61bd-4a1b-bfe3-56310cf66e5d · inbound
Amplifying Emotional Signals: Data-Efficient Deep Learning for Robust Speech Emotion Recognition cites this paper.
Amplifying Emotional Signals: Data-Efficient Deep Learning for Robust Speech Emotion Recognition SpeechBERT: An Audio-and-text Jointly Learned Language Model for End-to-end Spoken Question Answering
Reference 2
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T15:51:22.740660Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d534fa49-fb0a-4f40-95e5-2624614331c9 · inbound
End-to-end Contrastive Language-Speech Pretraining Model For Long-form Spoken Question Answering cites this paper.
End-to-end Contrastive Language-Speech Pretraining Model For Long-form Spoken Question Answering SpeechBERT: An Audio-and-text Jointly Learned Language Model for End-to-end Spoken Question Answering
Reference 8
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T22:45:24.333218Z
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.