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Paper Citation Record · LEDGER

Enhancing Temporal Understanding in Audio Question Answering for Large Audio Language Models

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2409.06223.

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

pith.paper-citation-record.v1
2409.06223 v3

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 2026-08-14T06:32:32.682623+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T21:56:41.985691Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-10T04:36:39.578705Z

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 596c9ebb-38ed-499d-b496-2394cdeded60 · inbound

Comprehensive Audio Query Handling System with Integrated Expert Models and Contextual Understanding cites this paper.

Comprehensive Audio Query Handling System with Integrated Expert Models and Contextual Understanding Enhancing Temporal Understanding in Audio Question Answering for Large Audio Language Models

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-11T21:56:41.985691Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T21:56:41.985691Z digest=sha256:95d3d3bcbfe5a3116a4d9d6af82057d4a258d83c9da1d662ec250761ead375af

Observation 962055e3-504a-4f8d-b0ff-0110e18fb426 · inbound

Multimodal Large Language Models for Image, Text, and Speech Data Augmentation: A Survey cites this paper.

Multimodal Large Language Models for Image, Text, and Speech Data Augmentation: A Survey Enhancing Temporal Understanding in Audio Question Answering for Large Audio Language Models

Reference 219

Resolution
verified exact
local_arxiv, observed 2026-08-10T04:36:39.586022Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T04:36:38.037002Z digest=sha256:47a7e36ec3bffd8e431aa7ae3995c3f49fa9dd892fe42e7a1b922dc448778a75