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Paper Citation Record · LEDGER

Fine-grained Audio-Visual Joint Representations for Multimodal Large Language Models

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2310.05863.

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

pith.paper-citation-record.v1
2310.05863 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T23:27:27.767079Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-18T02:29:46.392490Z

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 2cf1f46d-b533-4479-9336-6b36991dfa4a · inbound

SALMONN: Towards Generic Hearing Abilities for Large Language Models cites this paper.

SALMONN: Towards Generic Hearing Abilities for Large Language Models Fine-grained Audio-Visual Joint Representations for Multimodal Large Language Models

Reference 68

Resolution
verified exact
arxiv_id, observed 2026-05-18T02:29:46.394720Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-05-18T02:29:46.242983Z digest=sha256:d169577942777dab912f05681d952b5881adc50b1df06fe2ea4fe621dcfba042

Observation 794e8067-f56a-4b2e-bde6-ff49c4c7946f · inbound

EchoInk-R1: Exploring Audio-Visual Reasoning in Multimodal LLMs via Reinforcement Learning cites this paper.

EchoInk-R1: Exploring Audio-Visual Reasoning in Multimodal LLMs via Reinforcement Learning Fine-grained Audio-Visual Joint Representations for Multimodal Large Language Models

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-15T23:27:27.767079Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:27:27.767079Z digest=sha256:4aba2f0107c47ab84f86e99de66159bc449ff1cf84ecfaa2e444a49e560d3753

Observation 33aabec7-d05c-4761-ae7a-0b35ece69674 · inbound

Multimodal Large Language Model-Enabled Video Translation: A Role-Oriented Survey cites this paper.

Multimodal Large Language Model-Enabled Video Translation: A Role-Oriented Survey Fine-grained Audio-Visual Joint Representations for Multimodal Large Language Models

Reference 173

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T08:30:56.891549Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-10T16:36:33.264166Z digest=sha256:92a7f2652dc9effe8cd6fa0416a2052219f0b25775aa60d5f7ce824a6c3949a3

Observation d686f94d-7875-4d05-a153-b39c1cc6eec5 · inbound

Multimodal Large Language Model-Enabled Video Translation: A Role-Oriented Survey cites this paper.

Multimodal Large Language Model-Enabled Video Translation: A Role-Oriented Survey Fine-grained Audio-Visual Joint Representations for Multimodal Large Language Models

Reference 150

Resolution
unresolved
no resolver link, observed 2026-07-12T22:04:31.302192Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T22:04:31.302192Z digest=sha256:2f72a0eda27f2da40b93d49cadfc02d620d8ac1d3457d60a80506aadff81d37d