Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
LibriSQA: A Novel Dataset and Framework for Spoken Question Answering with Large Language Models
As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2308.10390.
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 2026-08-18T06:34:40.430872+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T14:51:16.525195Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-02T08:06:48.129903Z
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 a6c1edec-a87e-4e7f-a463-d1e943a859ce · inbound
Speechless: Speech Instruction Training Without Speech for Low Resource Languages cites this paper.
Speechless: Speech Instruction Training Without Speech for Low Resource Languages LibriSQA: A Novel Dataset and Framework for Spoken Question Answering with Large Language Models
Reference 16
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:51:16.525195Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ecdd04f8-aec5-413c-9845-52f45ed73967 · inbound
LiSTEN: Learning Soft Token Embeddings for Neural Audio LLMs cites this paper.
LiSTEN: Learning Soft Token Embeddings for Neural Audio LLMs LibriSQA: A Novel Dataset and Framework for Spoken Question Answering with Large Language Models
Reference 42
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:33:48.867451Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation bc4ec414-e4a8-4080-b61a-b7f241eff03f · inbound
Audio Flamingo 3: Advancing Audio Intelligence with Fully Open Large Audio Language Models cites this paper.
Audio Flamingo 3: Advancing Audio Intelligence with Fully Open Large Audio Language Models LibriSQA: A Novel Dataset and Framework for Spoken Question Answering with Large Language Models
Reference 121
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T03:42:44.731170Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 3064d83b-d41e-474f-bcc2-7a646b8e3d93 · inbound
Multilingual Long-Form Speech Instruction Following: KIT's Submission to IWSLT 2026 cites this paper.
Multilingual Long-Form Speech Instruction Following: KIT's Submission to IWSLT 2026 LibriSQA: A Novel Dataset and Framework for Spoken Question Answering with Large Language Models
Reference 25
- Resolution
- verified exact
- arxiv_id, observed 2026-07-02T08:06:48.131615Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 9c752120-f0a1-4d5f-b55f-f14617d2bbb0 · inbound
Hear, Invoke, and Understand: A Skill-Calling Multimodal Agent for Large Audio Language Models cites this paper.
Hear, Invoke, and Understand: A Skill-Calling Multimodal Agent for Large Audio Language Models LibriSQA: A Novel Dataset and Framework for Spoken Question Answering with Large Language Models
Reference 2023
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T19:02:41.528122Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.