Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-06T20:09:33.863859Z
Paper Citation Record · LEDGER
As of 8 August 2026, this Paper Citation Record lists 68 of 68 outbound references and 1 inbound Pith citation observation for arXiv:2507.03599.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-06T20:09:33.863859Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-06T20:09:30.476741Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-06T20:09:34.388498Z
68 of 68 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 47cdee41-5988-4ed8-b088-dc24782edb17 · outbound
MusGO: A Community-Driven Framework For Assessing Openness in Music-Generative AI MusGO: A Community-Driven Framework For Assessing Openness in Music-Generative AI
Reference 1
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MusGO: A Community-Driven Framework For Assessing Openness in Music-Generative AI Unresolved cited work
Reference 2
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Observation 919dd308-2642-4724-9a0c-d76db0ca9b9a · outbound
MusGO: A Community-Driven Framework For Assessing Openness in Music-Generative AI Unresolved cited work
Reference 3
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Observation 174bb687-686d-45dc-8cec-92ee115ebbc9 · outbound
MusGO: A Community-Driven Framework For Assessing Openness in Music-Generative AI Unresolved cited work
Reference 4
Source-reported events for the cited work
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Observation e6e0f349-1b57-49c4-a554-b9cb9a4e6007 · outbound
MusGO: A Community-Driven Framework For Assessing Openness in Music-Generative AI This situation underscores different levels of com- mitment across the community, particularly regarding crit- ical categories such as training data, source code, and li- censing
Reference 5
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Observation 0ca9ed7a-2e24-4d19-837b-e4f26c02626d · outbound
MusGO: A Community-Driven Framework For Assessing Openness in Music-Generative AI Given the lack of transparency and accountabil- ity in these systems, we advocate for open models
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Observation c3370365-4e36-437b-a852-28af42f3c8d3 · outbound
MusGO: A Community-Driven Framework For Assessing Openness in Music-Generative AI Par- ticipants were informed about the scope and purpose of the study, as well as the intended use of the collected data
Reference 7
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Observation 2c4bdd28-9b7c-4d6f-996c-49aa957742bc · outbound
MusGO: A Community-Driven Framework For Assessing Openness in Music-Generative AI Unresolved cited work
Reference 8
Source-reported events for the cited work
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Observation 3e9b05cf-8b34-4d6b-a795-9cf344f66219 · outbound
MusGO: A Community-Driven Framework For Assessing Openness in Music-Generative AI Computational creativ- ity and music generation systems: An introduction to the state of the art,
Reference 9
Source-reported events for the cited work
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Observation 13276796-d742-4aa7-b6a6-cc32496fdd17 · outbound
MusGO: A Community-Driven Framework For Assessing Openness in Music-Generative AI Deep Learning for Singing Processing: Achievements, Challenges and Impact on Singers and Listeners
Reference 10
Source-reported events for the cited work
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Observation 9c8db908-1537-44b9-9957-0c49b33f1cde · outbound
MusGO: A Community-Driven Framework For Assessing Openness in Music-Generative AI Artificial intelligence and music: Open questions of copyright law and engineering praxis,
Reference 11
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Observation fffc59a4-3bd1-4f02-9499-e019776eee59 · outbound
MusGO: A Community-Driven Framework For Assessing Openness in Music-Generative AI The ethical implications of generative au- dio models: A systematic literature review,
Reference 12
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Observation 81380d9e-f3fe-45db-a5e7-ab1c9c5f60b1 · outbound
MusGO: A Community-Driven Framework For Assessing Openness in Music-Generative AI Transparency in music-generative ai: A systematic literature review,
Reference 13
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Observation cfae2933-b4a2-4b49-aad2-ac94d5021a37 · outbound
MusGO: A Community-Driven Framework For Assessing Openness in Music-Generative AI A shift in artistic prac- tices through artificial intelligence,
Reference 14
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Observation 9a37c7c9-b604-44b3-8310-283a406e199a · outbound
MusGO: A Community-Driven Framework For Assessing Openness in Music-Generative AI Ex- tracting training data from diffusion models,
Reference 15
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Observation bca32a87-0277-417d-9e63-6be20afa5092 · outbound
MusGO: A Community-Driven Framework For Assessing Openness in Music-Generative AI Quantifying Memorization Across Neural Language Models
Reference 16
Source-reported events for the cited work
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Observation 64dfc0fa-3c6a-49ad-b53c-6b3dc97173dc · outbound
MusGO: A Community-Driven Framework For Assessing Openness in Music-Generative AI Generation or repli- cation: Auscultating audio latent diffusion models,
Reference 17
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Observation ac495392-64a9-491a-918f-a4cf2c1b2660 · outbound
MusGO: A Community-Driven Framework For Assessing Openness in Music-Generative AI On reproducible ai: Towards reproducible research, open science, and digital scholarship in ai publications,
Reference 18
Source-reported events for the cited work
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Observation ca5433d1-d6cf-45d7-aecb-7275dad98c91 · outbound
MusGO: A Community-Driven Framework For Assessing Openness in Music-Generative AI Rethinking open source generative ai: open-washing and the eu ai act,
Reference 19
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Observation 6d3ae638-94c3-4e91-9f38-0bd3a2b1d21f · outbound
MusGO: A Community-Driven Framework For Assessing Openness in Music-Generative AI Why open-source generative ai models are an ethical way forward for science,
Reference 20
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Observation 07fea01b-b28e-4f46-b5e7-6519410f7e8f · outbound
MusGO: A Community-Driven Framework For Assessing Openness in Music-Generative AI OLMo: Accelerating the Science of Language Models
Reference 21
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Observation 46ed25c3-63d6-46f5-8006-aa12688dd4b4 · outbound
MusGO: A Community-Driven Framework For Assessing Openness in Music-Generative AI The gradient of generative ai release: Methods and considerations,
Reference 22
Source-reported events for the cited work
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Observation d28ed27c-28ba-4199-8274-76d6e3937da6 · outbound
MusGO: A Community-Driven Framework For Assessing Openness in Music-Generative AI FactSheets: Increasing trust in AI services through supplier’s declarations of conformity,
Reference 23
Source-reported events for the cited work
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Observation af9dfaaf-4798-424c-8250-4460ada68824 · outbound
MusGO: A Community-Driven Framework For Assessing Openness in Music-Generative AI Datasheets for datasets,
Reference 24
Source-reported events for the cited work
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Observation 35ecb293-f155-4c1b-b493-a37fa6d01f1c · outbound
MusGO: A Community-Driven Framework For Assessing Openness in Music-Generative AI The dataset nutrition label,
Reference 25
Source-reported events for the cited work
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Observation 6aec71fb-646d-4eb0-871a-fdfe62c156be · outbound
MusGO: A Community-Driven Framework For Assessing Openness in Music-Generative AI Model cards for model reporting,
Reference 26
Source-reported events for the cited work
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Observation 93213459-0c2c-4144-9462-c5bb7458b81a · outbound
MusGO: A Community-Driven Framework For Assessing Openness in Music-Generative AI Between Copyright and Computer Science: The Law and Ethics of Generative AI
Reference 27
Source-reported events for the cited work
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Observation 764b736b-a2f6-40a8-9a32-7452b459da65 · outbound
MusGO: A Community-Driven Framework For Assessing Openness in Music-Generative AI The Open Source AI Definition – version 1.0,
Reference 28
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Observation daca630e-03d1-40e4-b2d8-9bf1cc53737a · outbound
MusGO: A Community-Driven Framework For Assessing Openness in Music-Generative AI Open-source AI must reveal its training data, per new OSI definition,
Reference 29
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Observation a96e8061-1a23-4431-9597-f55ac5af92b5 · outbound
MusGO: A Community-Driven Framework For Assessing Openness in Music-Generative AI The Open Source AI Definition: What the Critics Say,
Reference 30
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Observation c4ff53ac-a421-4569-affd-fd5ea8de07ac · outbound
MusGO: A Community-Driven Framework For Assessing Openness in Music-Generative AI The Open Source AI Definition is a step forward in defining openness in AI,
Reference 31
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Observation b9a17687-22d7-4ef2-88ca-5a9228ad9c6c · outbound
MusGO: A Community-Driven Framework For Assessing Openness in Music-Generative AI Ai art and its impact on artists,
Reference 32
Source-reported events for the cited work
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Observation a15cdd27-ba98-486c-9367-5effc1ae42a2 · outbound
MusGO: A Community-Driven Framework For Assessing Openness in Music-Generative AI Regulation (EU) 2024/1689 of the European Parliament and of the Council of 13 June 2024 laying down harmonised rules on artificial intelligence (Artificial Intelligence Act),
Reference 33
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Observation 9bee5cb7-8030-40eb-a320-276b4ac7c92d · outbound
MusGO: A Community-Driven Framework For Assessing Openness in Music-Generative AI Article 53: Obligations for Providers of General-Purpose AI Models (Artificial Intelligence Act),
Reference 34
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Observation 078d0b33-93e3-4db0-b576-3789bb7cfbde · outbound
MusGO: A Community-Driven Framework For Assessing Openness in Music-Generative AI General-Purpose AI Models in the AI Act - Questions & Answers,
Reference 35
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Observation ae285373-af77-457d-bbf6-c9c9462b0920 · outbound
MusGO: A Community-Driven Framework For Assessing Openness in Music-Generative AI Second Draft of the General- Purpose AI Code of Practice,
Reference 36
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Observation dad0f824-6bd1-47f6-86eb-6d0a8d29106c · outbound
MusGO: A Community-Driven Framework For Assessing Openness in Music-Generative AI Opening up chatgpt: Tracking openness, trans- parency, and accountability in instruction-tuned text generators,
Reference 37
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Observation 95de74e8-df68-49e1-9af2-53af798ae1a1 · outbound
MusGO: A Community-Driven Framework For Assessing Openness in Music-Generative AI Ai documentation: A path to accountability,
Reference 38
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Observation 5a69e47f-21dd-48ee-9e8c-7e88aa3c0649 · outbound
MusGO: A Community-Driven Framework For Assessing Openness in Music-Generative AI Patterns and anti-patterns, principles and pitfalls: accountability and transparency in ai,
Reference 39
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Observation a403574c-4f4f-42e5-abd3-b97fef695b55 · outbound
MusGO: A Community-Driven Framework For Assessing Openness in Music-Generative AI Artificial intelligence and the value of transparency,
Reference 40
Source-reported events for the cited work
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Observation ebff904f-16eb-4d55-9c4f-29665a1e156e · outbound
MusGO: A Community-Driven Framework For Assessing Openness in Music-Generative AI Accountability in artificial intelligence: what it is and how it works,
Reference 41
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Observation 11503f4f-fc95-44d3-89c7-f7a7d7340fca · outbound
MusGO: A Community-Driven Framework For Assessing Openness in Music-Generative AI The Foundation Model Transparency Index
Reference 42
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Observation 115ec30f-a1e3-4408-b005-3083b5c5b24a · outbound
MusGO: A Community-Driven Framework For Assessing Openness in Music-Generative AI The Model Openness Framework: Promoting Completeness and Openness for Reproducibility, Transparency, and Usability in Artificial Intelligence
Reference 43
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Observation 6efd0ed3-d4c5-4af7-a57a-82b149056162 · outbound
MusGO: A Community-Driven Framework For Assessing Openness in Music-Generative AI Risks and Opportunities of Open-Source Generative AI
Reference 44
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Observation 797471a0-6fe1-40d9-85e8-4513acfac7ea · outbound
MusGO: A Community-Driven Framework For Assessing Openness in Music-Generative AI Near to Mid-term Risks and Opportunities of Open-Source Generative AI
Reference 45
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Observation b9eff3ea-ff4f-4111-87c5-3435cea6a37f · outbound
MusGO: A Community-Driven Framework For Assessing Openness in Music-Generative AI GANSynth: Adversarial neural audio synthesis,
Reference 46
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Observation ee59cf9f-82ba-4701-9f43-143ecd9d281f · outbound
MusGO: A Community-Driven Framework For Assessing Openness in Music-Generative AI Jukebox: A Generative Model for Music
Reference 47
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MusGO: A Community-Driven Framework For Assessing Openness in Music-Generative AI RAVE: A variational autoencoder for fast and high-quality neural audio synthesis
Reference 48
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Observation 48baa3e2-fd46-472e-805e-bb84b123b386 · outbound
MusGO: A Community-Driven Framework For Assessing Openness in Music-Generative AI Musika! fast infinite wave- form music generation,
Reference 49
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Observation df3c97d4-6d6a-4031-b7aa-65e4edf87a47 · outbound
MusGO: A Community-Driven Framework For Assessing Openness in Music-Generative AI Mo\^usai: Text-to-Music Generation with Long-Context Latent Diffusion
Reference 50
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MusGO: A Community-Driven Framework For Assessing Openness in Music-Generative AI Diff-a-riff: Musical accompaniment co- creation via latent diffusion models,
Reference 51
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MusGO: A Community-Driven Framework For Assessing Openness in Music-Generative AI Simple and control- lable music generation,
Reference 52
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MusGO: A Community-Driven Framework For Assessing Openness in Music-Generative AI MusicLM: Generating Music From Text
Reference 53
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MusGO: A Community-Driven Framework For Assessing Openness in Music-Generative AI Vampnet: Music generation via masked acoustic to- ken modeling,
Reference 54
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Observation 324b0111-0b94-4dea-acab-06fa3266df6b · outbound
MusGO: A Community-Driven Framework For Assessing Openness in Music-Generative AI Musicldm: Enhanc- ing novelty in text-to-music generation using beat- synchronous mixup strategies,
Reference 55
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MusGO: A Community-Driven Framework For Assessing Openness in Music-Generative AI Music controlnet: Multiple time-varying controls for music generation,
Reference 56
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Observation c0f3978c-ab5d-443c-bfe1-9135a99d1740 · outbound
MusGO: A Community-Driven Framework For Assessing Openness in Music-Generative AI Noise2Music: Text-conditioned Music Generation with Diffusion Models
Reference 57
Source-reported events for the cited work
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Observation 78572164-0eb9-455d-89ca-376f35050135 · outbound
MusGO: A Community-Driven Framework For Assessing Openness in Music-Generative AI Efficient neural music generation,
Reference 58
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Observation 8aafc5af-0051-41c1-abf3-352d17f09f76 · outbound
MusGO: A Community-Driven Framework For Assessing Openness in Music-Generative AI DITTO-2: Distilled diffusion inference-time t- optimization for music generation,
Reference 59
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Reference 61
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Observation 79271cda-6323-4b53-ae43-08a4a409bbc7 · outbound
MusGO: A Community-Driven Framework For Assessing Openness in Music-Generative AI Stable Audio Open
Reference 62
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Observation b36a9363-709c-478d-ae6a-af6bbd36d10b · outbound
MusGO: A Community-Driven Framework For Assessing Openness in Music-Generative AI Auto-Encoding Variational Bayes
Reference 63
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Observation 6badf338-727e-4040-ba99-ee3440c7ba8d · outbound
MusGO: A Community-Driven Framework For Assessing Openness in Music-Generative AI Generative adversarial networks,
Reference 64
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Observation 7c581d91-9e5c-4e57-b429-31346e457ea0 · outbound
MusGO: A Community-Driven Framework For Assessing Openness in Music-Generative AI Attention is all you need,
Reference 65
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Observation 16829f2a-4055-44e5-9511-a8037f6f5be6 · outbound
MusGO: A Community-Driven Framework For Assessing Openness in Music-Generative AI Denoising diffusion probabilistic models,
Reference 66
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Observation b85b28c4-2d7f-4111-a7fb-5e752b9d740e · outbound
MusGO: A Community-Driven Framework For Assessing Openness in Music-Generative AI Flow matching for generative modeling,
Reference 67
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MusGO: A Community-Driven Framework For Assessing Openness in Music-Generative AI A guide to conducting consensual qualitative research,
Reference 68
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Observation e632f5db-8d8a-4353-8b19-ef7b873e9560 · outbound
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Reference 2023
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Observation 47cdee41-5988-4ed8-b088-dc24782edb17 · inbound
MusGO: A Community-Driven Framework For Assessing Openness in Music-Generative AI MusGO: A Community-Driven Framework For Assessing Openness in Music-Generative AI
Reference 1
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