Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
GSQA: An End-to-End Model for Generative Spoken Question Answering
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2312.09781.
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 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T11:28:56.570155Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-02T17:47:17.983202Z
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 6b74af5c-8b2f-4fa4-b600-9c61119b3d82 · inbound
Breaking the Barriers of Text-Hungry and Audio-Deficient AI cites this paper.
Breaking the Barriers of Text-Hungry and Audio-Deficient AI GSQA: An End-to-End Model for Generative Spoken Question Answering
Reference 117
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T11:28:56.570155Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f0f98697-da92-443a-b0aa-be673aa1316b · inbound
AV-EMO-Reasoning: Benchmarking Emotional Reasoning Capabilities in Omni-modal LLMS with Audio-visual Cues cites this paper.
AV-EMO-Reasoning: Benchmarking Emotional Reasoning Capabilities in Omni-modal LLMS with Audio-visual Cues GSQA: An End-to-End Model for Generative Spoken Question Answering
Reference 12
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T11:06:45.071560Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6cf1031e-7b6c-478b-9f00-e3f4b19ec8d5 · 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 GSQA: An End-to-End Model for Generative Spoken Question Answering
Reference 33
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T22:45:24.237715Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 35aadba1-61c3-4718-8d5c-aed0bec06cb9 · inbound
Continuous Audio Thinking for Large Audio Language Models cites this paper.
Continuous Audio Thinking for Large Audio Language Models GSQA: An End-to-End Model for Generative Spoken Question Answering
Reference 46
- Resolution
- verified exact
- arxiv_id, observed 2026-07-02T17:47:17.984690Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.