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Paper Citation Record · LEDGER

Music Understanding LLaMA: Advancing Text-to-Music Generation with Question Answering and Captioning

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2308.11276.

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

pith.paper-citation-record.v1
2308.11276 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:10:50.833666Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-18T02:29:46.291983Z

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 412b71da-8b8e-4306-9ab6-499ba218be67 · inbound

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

SALMONN: Towards Generic Hearing Abilities for Large Language Models Music Understanding LLaMA: Advancing Text-to-Music Generation with Question Answering and Captioning

Reference 32

Resolution
verified exact
arxiv_id, observed 2026-05-18T02:29:46.295934Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-18T02:29:46.242983Z digest=sha256:482575d976165aea107a94f0f7d1eef864a4da17c87695904d3d13f4fd7eec1a

Observation 4ce729e8-0eca-4eeb-ae67-420324ba854c · inbound

Selective Invocation for Multilingual ASR: A Cost-effective Approach Adapting to Speech Recognition Difficulty cites this paper.

Selective Invocation for Multilingual ASR: A Cost-effective Approach Adapting to Speech Recognition Difficulty Music Understanding LLaMA: Advancing Text-to-Music Generation with Question Answering and Captioning

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-07T15:10:50.833666Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:10:50.833666Z digest=sha256:2e907f958f5f1abbbb407525e15bf5d9d9181137e7541ddd9ad40574ceb0799a

Observation 10078921-d3a7-4300-a691-7e54e76bed42 · inbound

MusiScene: Leveraging MU-LLaMA for Scene Imagination and Enhanced Video Background Music Generation cites this paper.

MusiScene: Leveraging MU-LLaMA for Scene Imagination and Enhanced Video Background Music Generation Music Understanding LLaMA: Advancing Text-to-Music Generation with Question Answering and Captioning

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-06T19:20:44.506954Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:20:44.506954Z digest=sha256:b0ef3be117d06f489d2e8fd959ace049ca721e20360270e2aaeca785ef9e2a93

Observation 52bb2a9c-25da-45f6-b483-6ca5e705639b · inbound

The TEA-ASLP System for Multilingual Conversational Speech Recognition and Speech Diarization in MLC-SLM 2025 Challenge cites this paper.

The TEA-ASLP System for Multilingual Conversational Speech Recognition and Speech Diarization in MLC-SLM 2025 Challenge Music Understanding LLaMA: Advancing Text-to-Music Generation with Question Answering and Captioning

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-06T14:45:23.708169Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:45:23.708169Z digest=sha256:7c0d3bd7a6206fb0141b59aba3e197aae1870c7c035b1c9962851aaf97bf9ec9

Observation 191bf5ba-0637-4650-b552-aab216b8652b · inbound

Assessing Factual Music Comprehension in Large Audio Language Models cites this paper.

Assessing Factual Music Comprehension in Large Audio Language Models Music Understanding LLaMA: Advancing Text-to-Music Generation with Question Answering and Captioning

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-04T00:29:46.773378Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T00:29:46.773378Z digest=sha256:5f68ee6f8b873f5b292751ea1b3d06b903b43849ffcdc4f7245bec6d90a02890