Paper Citation Record · LEDGER

Foundation Models for Music: A Survey

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 24 inbound Pith citation observations for arXiv:2408.14340.

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

pith.paper-citation-record.v1
2408.14340 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 24 of 24 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 24 of 24 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T22:16:09.562425Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-08T00:04:22.406159Z

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 8ca6466e-d401-4f49-b820-ed9d4cceb32e · inbound

WavChat: A Survey of Spoken Dialogue Models cites this paper.

WavChat: A Survey of Spoken Dialogue Models Foundation Models for Music: A Survey

Reference 142

Resolution: unresolved; no resolver link, observed 2026-08-12T20:13:57.738757Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 11299f15-9055-4e64-8087-03e957ee6c7a · inbound

From Audio Deepfake Detection to AI-Generated Music Detection -- A Pathway and Overview cites this paper.

From Audio Deepfake Detection to AI-Generated Music Detection -- A Pathway and Overview Foundation Models for Music: A Survey

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-12T05:15:07.222130Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c785a807-3bb9-4ea4-a57d-e0b8256c93e0 · inbound

Less is More: Efficient Black-box Attribution via Minimal Interpretable Subset Selection cites this paper.

Less is More: Efficient Black-box Attribution via Minimal Interpretable Subset Selection Foundation Models for Music: A Survey

Reference 83

Resolution: verified exact; arxiv_id, observed 2026-05-22T21:32:10.244241Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 1116232f-c27e-4ad3-8a5b-6fe30c146e7d · inbound

Diffused Responsibility: Analyzing the Energy Consumption of Generative Text-to-Audio Diffusion Models cites this paper.

Diffused Responsibility: Analyzing the Energy Consumption of Generative Text-to-Audio Diffusion Models Foundation Models for Music: A Survey

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-15T22:16:09.562425Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b8cfe6f9-d930-4ac2-9611-384ebda1c7c3 · inbound

Semantic-Aware Interpretable Multimodal Music Auto-Tagging cites this paper.

Semantic-Aware Interpretable Multimodal Music Auto-Tagging Foundation Models for Music: A Survey

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-07T14:53:51.795095Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 98e6c135-305a-4f67-b27b-19101663bd6b · inbound

CMI-Bench: A Comprehensive Benchmark for Evaluating Music Instruction Following cites this paper.

CMI-Bench: A Comprehensive Benchmark for Evaluating Music Instruction Following Foundation Models for Music: A Survey

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-07T00:59:47.112119Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ab151a50-da97-4c30-99f4-2d050f9148e2 · inbound

Diff-TONE: Timestep Optimization for iNstrument Editing in Text-to-Music Diffusion Models cites this paper.

Diff-TONE: Timestep Optimization for iNstrument Editing in Text-to-Music Diffusion Models Foundation Models for Music: A Survey

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-06T23:58:34.878811Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 80a30663-649e-451b-a049-5d5ccc8e54fa · inbound

Universal Music Representations? Evaluating Foundation Models on World Music Corpora cites this paper.

Universal Music Representations? Evaluating Foundation Models on World Music Corpora Foundation Models for Music: A Survey

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-06T23:34:54.603968Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1e95bd5b-1244-4673-969d-1687610ede26 · inbound

CultureMERT: Continual Pre-Training for Cross-Cultural Music Representation Learning cites this paper.

CultureMERT: Continual Pre-Training for Cross-Cultural Music Representation Learning Foundation Models for Music: A Survey

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-15T19:06:07.347609Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 865fbb87-2a6a-4007-86df-e97febd206a5 · inbound

Emergent musical properties of a transformer under contrastive self-supervised learning cites this paper.

Emergent musical properties of a transformer under contrastive self-supervised learning Foundation Models for Music: A Survey

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-06T21:35:04.720630Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bc65feb1-d30d-446f-8a8a-671b7c708d8a · inbound

Workflow-Based Evaluation of Music Generation Systems cites this paper.

Workflow-Based Evaluation of Music Generation Systems Foundation Models for Music: A Survey

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-07T04:46:03.070056Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 452baee2-4d0c-44ca-9630-7ec2c95cb14b · inbound

Temporal Adaptation of Pre-trained Foundation Models for Music Structure Analysis cites this paper.

Temporal Adaptation of Pre-trained Foundation Models for Music Structure Analysis Foundation Models for Music: A Survey

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-06T16:25:59.084669Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1371957a-6e91-46cc-b545-60de1bda4fd7 · inbound

LLaSO: A Foundational Framework for Reproducible Research in Large Language and Speech Model cites this paper.

LLaSO: A Foundational Framework for Reproducible Research in Large Language and Speech Model Foundation Models for Music: A Survey

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-05T17:56:53.530166Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5ca136b1-a901-4110-838c-4f6a64f914d7 · inbound

Benchmarking Music Autotagging with MGPHot Expert Annotations vs. Generic Tag Datasets cites this paper.

Benchmarking Music Autotagging with MGPHot Expert Annotations vs. Generic Tag Datasets Foundation Models for Music: A Survey

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-04T22:55:03.604395Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3a651c43-f283-4910-a03e-60b151357706 · inbound

VocalParse: Towards Unified and Scalable Singing Voice Transcription with Large Audio Language Models cites this paper.

VocalParse: Towards Unified and Scalable Singing Voice Transcription with Large Audio Language Models Foundation Models for Music: A Survey

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-05-11T17:51:09.678172Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 3a86c0b1-3183-4ff6-907f-59d7f68a75db · inbound

Can LLMs understand LilyPond? A benchmark for symbolic music generation and understanding cites this paper.

Can LLMs understand LilyPond? A benchmark for symbolic music generation and understanding Foundation Models for Music: A Survey

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-07-02T23:47:28.331857Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 201ae5f6-fe66-4c39-8ed8-5b85629d96b8 · inbound

AudioX-Turbo: A Unified Framework for Efficient Anything-to-Audio Generation cites this paper.

AudioX-Turbo: A Unified Framework for Efficient Anything-to-Audio Generation Foundation Models for Music: A Survey

Reference 35

Resolution: verified exact; arxiv_id, observed 2026-07-03T13:28:18.747170Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 4763ac22-aa58-4b72-9498-865d0fa61f86 · inbound

Unified Audio Intelligence Without Regressing on Text Intelligence cites this paper.

Unified Audio Intelligence Without Regressing on Text Intelligence Foundation Models for Music: A Survey

Reference 255

Resolution: metadata mismatch; local_arxiv, observed 2026-07-08T00:04:22.407499Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 96edaee9-eba1-4775-8e1c-3ee2472fc6eb · inbound

Unified Audio Intelligence Without Regressing on Text Intelligence cites this paper.

Unified Audio Intelligence Without Regressing on Text Intelligence Foundation Models for Music: A Survey

Reference 255

Resolution: unresolved; no resolver link, observed 2026-07-11T07:46:49.059192Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b741c712-5c9b-4f6d-9b32-4042a5cf06a8 · inbound

RPPNet: Perceptually-Grouped Rhythm-Pitch Primitives for Long-Term Structure Melody Generation via Boundary-Aware Modeling cites this paper.

RPPNet: Perceptually-Grouped Rhythm-Pitch Primitives for Long-Term Structure Melody Generation via Boundary-Aware Modeling Foundation Models for Music: A Survey

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-01T11:48:10.657478Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c6505953-5bc5-4576-994e-16060423774c · inbound

Agogic: Performance-Timed Music Tokens for LLM-Native Text-to-Symbolic-Music Generation cites this paper.

Agogic: Performance-Timed Music Tokens for LLM-Native Text-to-Symbolic-Music Generation Foundation Models for Music: A Survey

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-15T14:47:17.683146Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8d9bb36b-11e2-43a5-a206-e937dc699946 · inbound

Audio-to-Score Transcription using Pre-trained Features, Data Augmentation, and the New SheetSage-A2S Dataset cites this paper.

Audio-to-Score Transcription using Pre-trained Features, Data Augmentation, and the New SheetSage-A2S Dataset Foundation Models for Music: A Survey

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-07T13:42:14.252654Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1a5e0262-0caf-43b9-9ee5-6ca05774ce64 · inbound

Audio-to-Score Transcription using Pre-trained Features, Data Augmentation, and the New SheetSage-A2S Dataset cites this paper.

Audio-to-Score Transcription using Pre-trained Features, Data Augmentation, and the New SheetSage-A2S Dataset Foundation Models for Music: A Survey

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-15T14:37:44.814420Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d01292dc-d09a-44ce-8df3-87517abdfd2f · inbound

Where Does AI Innovation Go? Measuring Research Attention Imbalance in AI Music cites this paper.

Where Does AI Innovation Go? Measuring Research Attention Imbalance in AI Music Foundation Models for Music: A Survey

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-10T18:44:12.741007Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.