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Paper Citation Record · LEDGER

End-to-end Spoken Conversational Question Answering: Task, Dataset and Model

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2204.14272.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2204.14272 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T12:01:14.357971Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-05-17T22:45:24.324901Z

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 58844f3c-33cb-4bea-a495-b883138abdfc · inbound

Enhancing Multimodal In-Context Learning for Image Classification through Coreset Optimization cites this paper.

Enhancing Multimodal In-Context Learning for Image Classification through Coreset Optimization End-to-end Spoken Conversational Question Answering: Task, Dataset and Model

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-16T12:01:14.357971Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T12:01:14.357971Z digest=sha256:c2253652681d4bcf73614073a340321581851d693abf0a9b2b1705ff39ced6ec

Observation b9a90c3d-05c5-4ad9-b9ee-510603f9ed49 · 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 End-to-end Spoken Conversational Question Answering: Task, Dataset and Model

Reference 42

Resolution
verified exact
arxiv_id, observed 2026-05-17T22:45:24.327819Z

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.

source=arxiv_source observed=2026-05-17T22:44:49.949759Z digest=sha256:1e4495fb5773956d943dad93d48eea27445b1de9e9ac21d0a6387693bab99366