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Paper Citation Record · LEDGER

HeySQuAD: A Spoken Question Answering Dataset

As of 3 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2304.13689.

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

pith.paper-citation-record.v1
2304.13689 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-03T06:30:56.289259+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-12T07:12:19.297723Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-10T06:15:00.866473Z

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 5c539015-917c-46be-ae4d-c0b6c9a12c8f · inbound

ATIR: Towards Audio-Text Interleaved Contextual Retrieval cites this paper.

ATIR: Towards Audio-Text Interleaved Contextual Retrieval HeySQuAD: A Spoken Question Answering Dataset

Reference 28

Resolution
verified exact
arxiv_id, observed 2026-05-09T23:24:42.071233Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-05-09T23:24:26.609217Z digest=sha256:02273c830edbe5a9866e94925bb4b28cbb299ff584ac86023da0a00f2f8e46d9

Observation 4e6995cf-56a1-4aea-ba12-de8c25451be1 · inbound

AuRA: Internalizing Audio Understanding into LLMs as LoRA cites this paper.

AuRA: Internalizing Audio Understanding into LLMs as LoRA HeySQuAD: A Spoken Question Answering Dataset

Reference 13

Resolution
metadata mismatch
arxiv_id, observed 2026-07-03T03:57:38.863888Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-06-27T14:18:00.550824Z digest=sha256:16181b5d97cd5d3caef6a80c566eb99962f98e6cbbd3ec0332bb2cbd46e80086

Observation 5a27f93b-1ac9-42bd-ac31-b2a0c553e982 · inbound

LuxSQA: Ask Me in Luxembourgish with TTS-Augmented Spoken Question Answering cites this paper.

LuxSQA: Ask Me in Luxembourgish with TTS-Augmented Spoken Question Answering HeySQuAD: A Spoken Question Answering Dataset

Reference 28

Resolution
unresolved
no resolver link, observed 2026-07-12T07:12:19.297723Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T07:12:19.297723Z digest=sha256:30a15347841b21dbe2c228b6c144cee5db1bb69534695c4e2b6e93b527aa7b6f