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Paper Citation Record · LEDGER

Wav2Prompt: End-to-End Speech Prompt Generation and Tuning For LLM in Zero and Few-shot Learning

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2406.00522.

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

pith.paper-citation-record.v1
2406.00522 v1

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 2026-08-09T06:31:02.800959+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:23:42.627686Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-22T20:45:07.994190Z

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 6383e87d-37fc-4681-b2f8-a593bb7c1ef7 · inbound

On The Landscape of Spoken Language Models: A Comprehensive Survey cites this paper.

On The Landscape of Spoken Language Models: A Comprehensive Survey Wav2Prompt: End-to-End Speech Prompt Generation and Tuning For LLM in Zero and Few-shot Learning

Reference 13

Resolution
verified exact
arxiv_id, observed 2026-05-22T20:45:07.996955Z

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.

source=pdf_text observed=2026-05-22T20:44:57.476464Z digest=sha256:10961977f22d4f84d302e0abaa3d1d3ec139f978ddb92cd19ff10ee6cceecb03

Observation a27c9206-5075-4015-bc32-a1959596579b · inbound

Towards Reliable Large Audio Language Model cites this paper.

Towards Reliable Large Audio Language Model Wav2Prompt: End-to-End Speech Prompt Generation and Tuning For LLM in Zero and Few-shot Learning

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-07T14:23:42.627686Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:23:42.627686Z digest=sha256:8fb482788308fe8e952465681ddb5b49b896581f480e2c663d2faa03550da732

Observation 22e992e9-ad08-4431-b07c-8a50132169c2 · inbound

LiquiLM: Bridging the Semantic Gap in Liquidity Flaw Audit via DCN and LLMs cites this paper.

LiquiLM: Bridging the Semantic Gap in Liquidity Flaw Audit via DCN and LLMs Wav2Prompt: End-to-End Speech Prompt Generation and Tuning For LLM in Zero and Few-shot Learning

Reference 10

Resolution
verified exact
arxiv_id, observed 2026-05-13T17:08:01.225193Z

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.

source=pdf_text observed=2026-05-13T16:58:49.625694Z digest=sha256:bf822ee52e4dfa5b2fffe719e804fe8c80948c9807e115c4a8c615259f19df66