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Paper Citation Record · LEDGER

MixAssist: An Audio-Language Dataset for Co-Creative AI Assistance in Music Mixing

As of 7 August 2026, this Paper Citation Record lists 81 of 81 outbound references and 1 inbound Pith citation observation for arXiv:2507.06329.

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

pith.paper-citation-record.v1
2507.06329 v1

Coverage vector

measured 81 of 81 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T19:12:06.105833Z

measured 82 of 82 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-30T22:11:44.891731Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

81 of 81 outbound references displayed

  • verified exact2
  • verified fuzzy38
  • unresolved40
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch0

External citation measurements

0
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation bb1c464e-c801-4655-8025-d1f8408ab016 · outbound

This paper cites write newline.

MixAssist: An Audio-Language Dataset for Co-Creative AI Assistance in Music Mixing write newline

Reference 1

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unresolved
no resolver link, observed 2026-08-06T19:12:01.172045Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:12:01.172045Z digest=sha256:ccf1d5f5732e4456d00d5cc853a1e840d0cc8b60f99a4b1a5f563f15bb45d5e9

Observation 977fd4ea-3fb2-4efe-bb5c-951cfca46ad5 · outbound

This paper cites MusicLM: Generating Music From Text.

MixAssist: An Audio-Language Dataset for Co-Creative AI Assistance in Music Mixing MusicLM: Generating Music From Text

Reference 2

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no resolver link, observed 2026-08-06T19:12:01.193617Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:12:01.193617Z digest=sha256:174c157c21e5f563f54bb44bdb6bf963ca908b7df7193ff282036b26f13697f8

Observation f180c84e-4396-474a-8251-f3f13d6a5a38 · outbound

This paper cites Homogenization effects of large language models on human creative ideation.

MixAssist: An Audio-Language Dataset for Co-Creative AI Assistance in Music Mixing Homogenization effects of large language models on human creative ideation

Reference 3

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verified fuzzy
raw_fallback, observed 2026-08-06T19:12:12.992995Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T19:12:01.257645Z digest=sha256:99ba1cdb0da34ae243bbb0631ebb8d14848121c69fa29d977161ae209802a833

Observation d5c47ca9-32d5-4ebb-85fa-c42cdc8a7e72 · outbound

This paper cites METEOR : An automatic metric for MT evaluation with improved correlation with human judgments.

MixAssist: An Audio-Language Dataset for Co-Creative AI Assistance in Music Mixing METEOR : An automatic metric for MT evaluation with improved correlation with human judgments

Reference 4

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verified fuzzy
raw_fallback, observed 2026-08-06T19:12:12.889531Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T19:12:01.293150Z digest=sha256:72bbac846104e7232f12d6265774608d5a83d40ab4023ef451f448271c3ee9f6

Observation 4aed0727-d0a6-4cda-b11f-3fd33a430c4f · outbound

This paper cites Toward good practice in thematic analysis: Avoiding common problems and be (com) ing a knowing researcher.

MixAssist: An Audio-Language Dataset for Co-Creative AI Assistance in Music Mixing Toward good practice in thematic analysis: Avoiding common problems and be (com) ing a knowing researcher

Reference 5

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verified fuzzy
raw_fallback, observed 2026-08-06T19:12:12.645309Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T19:12:01.312221Z digest=sha256:fcd24e045bb89fe3d205f15b087bdee2f40091e7c0ba5d1dd828598b0f3169d0

Observation aa5f7822-3359-400a-b144-e31ef21c4317 · outbound

This paper cites Explainable ai and music.

MixAssist: An Audio-Language Dataset for Co-Creative AI Assistance in Music Mixing Explainable ai and music

Reference 6

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verified fuzzy
raw_fallback, observed 2026-08-06T19:12:12.369072Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T19:12:01.363646Z digest=sha256:5318962ac538421eb0bb9ff34491674288af40d2c38717ed280a206842972fc7

Observation c2e78947-72b5-4937-93e1-4e6346f983d3 · outbound

This paper cites Can ai writing be salvaged? mitigating idiosyncrasies and improving human-ai alignment in the writing process through edits.

MixAssist: An Audio-Language Dataset for Co-Creative AI Assistance in Music Mixing Can ai writing be salvaged? mitigating idiosyncrasies and improving human-ai alignment in the writing process through edits

Reference 7

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verified fuzzy
raw_fallback, observed 2026-08-06T19:12:12.084597Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T19:12:01.443136Z digest=sha256:22ebfb6772965b1ec12a0723ab3e016396e717602907a2bdbb4f160856fac54f

Observation a6fb02f4-5833-4552-973c-20a7b5818dc8 · outbound

This paper cites Text2fx: Harnessing clap embeddings for text-guided audio effects.

MixAssist: An Audio-Language Dataset for Co-Creative AI Assistance in Music Mixing Text2fx: Harnessing clap embeddings for text-guided audio effects

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:12:11.857145Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T19:12:01.491727Z digest=sha256:5c1c2e7624b9b0bef2824b3ca4feecae9c76718ac47980016453ecd8dfb529a3

Observation dc4a4964-b84e-4bb8-a0a2-0d7681827d4a · outbound

This paper cites Qwen-Audio: Advancing Universal Audio Understanding via Unified Large-Scale Audio-Language Models.

MixAssist: An Audio-Language Dataset for Co-Creative AI Assistance in Music Mixing Qwen-Audio: Advancing Universal Audio Understanding via Unified Large-Scale Audio-Language Models

Reference 9

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no resolver link, observed 2026-08-06T19:12:01.524931Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:12:01.524931Z digest=sha256:9cd95de16642af7862f10f0319d638bd6d15aba52899e867a83c1ea6e9b45bcf

Observation e2d8a8f6-4e13-4b49-b7fd-bacaaa01264f · outbound

This paper cites Towards Responsible AI Music: an Investigation of Trustworthy Features for Creative Systems.

MixAssist: An Audio-Language Dataset for Co-Creative AI Assistance in Music Mixing Towards Responsible AI Music: an Investigation of Trustworthy Features for Creative Systems

Reference 10

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no resolver link, observed 2026-08-06T19:12:01.580389Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:12:01.580389Z digest=sha256:3d21004c2f708cb3155ae08d3e925d30c5f884cc423a48bf8953f3f1cefa4167

Observation 6460d4ea-9f3b-44e5-909f-cc1d33b23d77 · outbound

This paper cites The mix evaluation dataset.

MixAssist: An Audio-Language Dataset for Co-Creative AI Assistance in Music Mixing The mix evaluation dataset

Reference 11

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verified fuzzy
raw_fallback, observed 2026-08-06T19:12:11.711771Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T19:12:01.604796Z digest=sha256:d0ebdf84ea9a58a86925dcf6c3354702291fe9b255a149260fad85174bcce10f

Observation ca96b94d-dd42-45ef-81e0-f6ca7dc1dd54 · outbound

This paper cites On the development and practice of ai technology for contemporary popular music production.

MixAssist: An Audio-Language Dataset for Co-Creative AI Assistance in Music Mixing On the development and practice of ai technology for contemporary popular music production

Reference 12

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verified fuzzy
raw_fallback, observed 2026-08-06T19:12:11.584022Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T19:12:01.647247Z digest=sha256:4e399452fbefb811e063bb9d18658ddca66aecbea3369a2b085f251c0360209c

Observation f8b94977-311d-4106-acd9-def9523008db · outbound

This paper cites Pengi: An audio language model for audio tasks.

MixAssist: An Audio-Language Dataset for Co-Creative AI Assistance in Music Mixing Pengi: An audio language model for audio tasks

Reference 13

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verified fuzzy
raw_fallback, observed 2026-08-06T19:12:11.407051Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T19:12:01.672952Z digest=sha256:a2976a2f0571c4dd8d3c4a24e47636a1f4a40f245d3cb5ab907c492e707e64ee

Observation 97cf3465-2f7c-466e-885c-9a779fc7eaa6 · outbound

This paper cites ADIFF: Explaining audio difference using natural language.

MixAssist: An Audio-Language Dataset for Co-Creative AI Assistance in Music Mixing ADIFF: Explaining audio difference using natural language

Reference 14

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verified exact
local_arxiv, observed 2026-08-06T19:12:07.296957Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T19:12:01.787842Z digest=sha256:7932894ad039babfd0c4b01b8cbc0595eb4f29765b2425a042eadf098dc237b1

Observation 4a745aff-2d81-4642-b605-68768926d097 · outbound

This paper cites Jukebox: A Generative Model for Music.

MixAssist: An Audio-Language Dataset for Co-Creative AI Assistance in Music Mixing Jukebox: A Generative Model for Music

Reference 15

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unresolved
no resolver link, observed 2026-08-06T19:12:01.879574Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:12:01.879574Z digest=sha256:1dcbc47fb663451e8787f728717033b637e64a1f49c001cbbeafebfc50ff9843

Observation 449187d5-892b-46f1-b0c1-8244b6c11684 · outbound

This paper cites Clotho: An audio captioning dataset.

MixAssist: An Audio-Language Dataset for Co-Creative AI Assistance in Music Mixing Clotho: An audio captioning dataset

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-06T19:12:01.921434Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:12:01.921434Z digest=sha256:1ee2abe2d6b10de16c9d5388c9a5dc4f816721028c363f6501e1ebbef9f7518e

Observation f7fbb808-0d60-4b39-b062-f311d28b323d · outbound

This paper cites Clap learning audio concepts from natural language supervision.

MixAssist: An Audio-Language Dataset for Co-Creative AI Assistance in Music Mixing Clap learning audio concepts from natural language supervision

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:12:11.243316Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T19:12:01.981540Z digest=sha256:b283aa4f60a97e53792ed591cf5b1c8e41ce13ecaeaf38e645bd17d612086f6f

Observation 7045aa9f-f486-4812-9f92-b8c4bcc88b0f · outbound

This paper cites The collaborative music producer: a comparative study of integrated and separated mixing methods.

MixAssist: An Audio-Language Dataset for Co-Creative AI Assistance in Music Mixing The collaborative music producer: a comparative study of integrated and separated mixing methods

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:12:11.136651Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T19:12:02.064756Z digest=sha256:723ada6afc23cbb90f6bf0034dda1dec2f0afc0f5f925263a9d6f332058930f8

Observation 3fc1f6c6-6fcf-4a69-b045-1d2c67c5425e · outbound

This paper cites Redefining the user in human-generative ai collaboration: Insights from music composition.

MixAssist: An Audio-Language Dataset for Co-Creative AI Assistance in Music Mixing Redefining the user in human-generative ai collaboration: Insights from music composition

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:12:11.028616Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T19:12:02.100877Z digest=sha256:6f7d29db07b22275d544f9b793e2c23a4761617796e4a3ef4cc706104dd62a82

Observation 0c820c38-790e-4081-b650-bb85d2a15a2e · outbound

This paper cites Negotiating the swamp: the opportunity and challenge of reflexivity in research practice.

MixAssist: An Audio-Language Dataset for Co-Creative AI Assistance in Music Mixing Negotiating the swamp: the opportunity and challenge of reflexivity in research practice

Reference 20

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verified fuzzy
raw_fallback, observed 2026-08-06T19:12:10.888416Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T19:12:02.128265Z digest=sha256:b8bb14b6117c1ecf1ca55b245fccd85521043aeb803b5c8274b0bf74da175816

Observation b0c51f11-1f3f-4823-82cb-2b56c56ada08 · outbound

This paper cites Fsd50k: an open dataset of human-labeled sound events.

MixAssist: An Audio-Language Dataset for Co-Creative AI Assistance in Music Mixing Fsd50k: an open dataset of human-labeled sound events

Reference 21

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no resolver link, observed 2026-08-06T19:12:02.159507Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:12:02.159507Z digest=sha256:b031a48133cf1f08e3a7ece1882e6abc4bb1e5e8007909e119a5780187fafa14

Observation fe0433b3-348b-4e65-a545-380a7a02ea88 · outbound

This paper cites Exploring the Collaborative Co-Creation Process with AI: A Case Study in Novice Music Production.

MixAssist: An Audio-Language Dataset for Co-Creative AI Assistance in Music Mixing Exploring the Collaborative Co-Creation Process with AI: A Case Study in Novice Music Production

Reference 22

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no resolver link, observed 2026-08-06T19:12:02.199996Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:12:02.199996Z digest=sha256:7d5d15d454ffe7ee7fb6024e6e73f6f55c731aabc093f7e0b1917431c9d88e3b

Observation fde6fb90-ae80-41ae-b5e5-2909aed9c6e6 · outbound

This paper cites The Ethics of Advanced AI Assistants.

MixAssist: An Audio-Language Dataset for Co-Creative AI Assistance in Music Mixing The Ethics of Advanced AI Assistants

Reference 23

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no resolver link, observed 2026-08-06T19:12:02.251550Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:12:02.251550Z digest=sha256:aa8d6606807456fd54ebcf9de183bfebb1dcac4aac01915f3998b625a84e366f

Observation 3cc5e471-075b-49ec-8630-62e06ea4e4b2 · outbound

This paper cites LLark: A Multimodal Instruction-Following Language Model for Music.

MixAssist: An Audio-Language Dataset for Co-Creative AI Assistance in Music Mixing LLark: A Multimodal Instruction-Following Language Model for Music

Reference 24

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unresolved
no resolver link, observed 2026-08-06T19:12:02.287429Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:12:02.287429Z digest=sha256:feb0a62cc8eb73a039507529b0307e7f50d59d240acfc0b757e0b30d1e0936d1

Observation 3dbf42af-31ee-4c59-b595-8ae77a50b834 · outbound

This paper cites Audio set: An ontology and human-labeled dataset for audio events.

MixAssist: An Audio-Language Dataset for Co-Creative AI Assistance in Music Mixing Audio set: An ontology and human-labeled dataset for audio events

Reference 25

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no resolver link, observed 2026-08-06T19:12:02.343085Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:12:02.343085Z digest=sha256:96703d17bcd01923db67ed403e0bcfeaf9299742dc7b4ead697635c2a45af74d

Observation 2482effc-92ad-4225-a722-cc2ace70b7e1 · outbound

This paper cites Audio Flamingo 2: An Audio-Language Model with Long-Audio Understanding and Expert Reasoning Abilities.

MixAssist: An Audio-Language Dataset for Co-Creative AI Assistance in Music Mixing Audio Flamingo 2: An Audio-Language Model with Long-Audio Understanding and Expert Reasoning Abilities

Reference 26

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no resolver link, observed 2026-08-06T19:12:02.450734Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:12:02.450734Z digest=sha256:8f4e95358fa50fe8b84988cc9fa1381f2e7c32d8c2e124f44d65b99bdafde9ef

Observation c05c7cc8-342f-42bd-b773-1ecfc5832b33 · outbound

This paper cites AST: Audio Spectrogram Transformer.

MixAssist: An Audio-Language Dataset for Co-Creative AI Assistance in Music Mixing AST: Audio Spectrogram Transformer

Reference 27

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unresolved
no resolver link, observed 2026-08-06T19:12:02.492655Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:12:02.492655Z digest=sha256:ef8535ac0ba01446e61cf62063ee650287f19138f313f3d412bd0b58ea03c07b

Observation 4862910b-5f00-43ed-aa02-27eb8444c0a2 · outbound

This paper cites Listen, Think, and Understand.

MixAssist: An Audio-Language Dataset for Co-Creative AI Assistance in Music Mixing Listen, Think, and Understand

Reference 28

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unresolved
no resolver link, observed 2026-08-06T19:12:02.588908Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:12:02.588908Z digest=sha256:467bd59bed91a5b8785113b2ddf889fbefacd953e71ad39488c1a674ffc64347

Observation edb868e2-bddc-430b-bda5-7d34141b1b43 · outbound

This paper cites A Survey on LLM-as-a-Judge.

MixAssist: An Audio-Language Dataset for Co-Creative AI Assistance in Music Mixing A Survey on LLM-as-a-Judge

Reference 29

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no resolver link, observed 2026-08-06T19:12:02.650496Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:12:02.650496Z digest=sha256:cb9610020f3ae38875a53e6922e7f89f511557dbdf930393e01af6f70128a38d

Observation 3059e78e-0a12-4ff8-8319-cc7bc250218a · outbound

This paper cites Computer support for collaborative data analysis: augmenting paper affinity diagrams.

MixAssist: An Audio-Language Dataset for Co-Creative AI Assistance in Music Mixing Computer support for collaborative data analysis: augmenting paper affinity diagrams

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:12:10.717849Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T19:12:02.690160Z digest=sha256:2a0fa2a7179afb0fd43a52a993bf31abe9f3a79aab408362aafbfe9ab98ed5c6

Observation 8ba77e05-bebb-434a-af62-85234757e053 · outbound

This paper cites Lora: Low-rank adaptation of large language models.

MixAssist: An Audio-Language Dataset for Co-Creative AI Assistance in Music Mixing Lora: Low-rank adaptation of large language models

Reference 31

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no resolver link, observed 2026-08-06T19:12:02.743722Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:12:02.743722Z digest=sha256:e71fe75e829ea6fbe2524d5750ad39fd2d161a9560010f79bf17315c0b29502c

Observation fe4b92ca-d063-4279-92e4-e3bcbe5220a0 · outbound

This paper cites Evaluating Creativity in Computational Co-Creative Systems.

MixAssist: An Audio-Language Dataset for Co-Creative AI Assistance in Music Mixing Evaluating Creativity in Computational Co-Creative Systems

Reference 32

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no resolver link, observed 2026-08-06T19:12:02.788631Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:12:02.788631Z digest=sha256:f73e7832450d9879ce33a13c8b4136e22eb7d94ced02e51ceb9538bc0973ad65

Observation 83c191c3-bf8f-4eeb-a084-0b455a56bd3e · outbound

This paper cites Audiocaps: Generating captions for audios in the wild.

MixAssist: An Audio-Language Dataset for Co-Creative AI Assistance in Music Mixing Audiocaps: Generating captions for audios in the wild

Reference 33

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no resolver link, observed 2026-08-06T19:12:02.852393Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:12:02.852393Z digest=sha256:4c2237a1e68ccfdfa8dc5a618eaf88024a1d35e075e231d4c015d60264caeb72

Observation 7ace7ea4-f4f4-43e7-b108-a7c2bf63627a · outbound

This paper cites Applications, challenges, and future directions of human-in-the-loop learning.

MixAssist: An Audio-Language Dataset for Co-Creative AI Assistance in Music Mixing Applications, challenges, and future directions of human-in-the-loop learning

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:12:10.558799Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T19:12:02.891995Z digest=sha256:962526149e059c5f976edfd90311261d1893e97ec26a0b94e13dc22bab6ffc42

Observation 19d229e0-1630-4fd2-aab1-bad83f2b7437 · outbound

This paper cites Evaluation of algorithms using games: The case of music tagging.

MixAssist: An Audio-Language Dataset for Co-Creative AI Assistance in Music Mixing Evaluation of algorithms using games: The case of music tagging

Reference 35

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no resolver link, observed 2026-08-06T19:12:02.964474Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:12:02.964474Z digest=sha256:3406317175951c314c0193a4daa14ac39a2a5263957d7176612585ec79822f75

Observation 1c6485d4-ca2c-4452-af8a-f8e830883edd · outbound

This paper cites The pro-am revolution: How enthusiasts are changing our society and economy, 2004.

MixAssist: An Audio-Language Dataset for Co-Creative AI Assistance in Music Mixing The pro-am revolution: How enthusiasts are changing our society and economy, 2004

Reference 36

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verified fuzzy
raw_fallback, observed 2026-08-06T19:12:10.387716Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T19:12:03.086540Z digest=sha256:63f9e0b491a87aaf5a4b78a6be700b3c0d575da58e905169e1818ae5ad2a0960

Observation 72cb039d-1e5d-4914-adb4-587c6c9c7948 · outbound

This paper cites GRAFX: An Open-Source Library for Audio Processing Graphs in PyTorch.

MixAssist: An Audio-Language Dataset for Co-Creative AI Assistance in Music Mixing GRAFX: An Open-Source Library for Audio Processing Graphs in PyTorch

Reference 37

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unresolved
no resolver link, observed 2026-08-06T19:12:03.138606Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:12:03.138606Z digest=sha256:47278d384fb7f99bfe96b6fe88f464a2a9e868209ae94640aa4fa43b4444eeb7

Observation a5b2ab7a-51ee-4985-81ae-2cb6a2e90ed6 · outbound

This paper cites LLMs-as-Judges: A Comprehensive Survey on LLM-based Evaluation Methods.

MixAssist: An Audio-Language Dataset for Co-Creative AI Assistance in Music Mixing LLMs-as-Judges: A Comprehensive Survey on LLM-based Evaluation Methods

Reference 38

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no resolver link, observed 2026-08-06T19:12:03.215474Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:12:03.215474Z digest=sha256:1f834316c8e3bb23fa0b8903916456dd3e3873345854eef29987c52dc2bbb9ea

Observation d3551d87-3533-466c-8827-07c207307ded · outbound

This paper cites MERT: Acoustic Music Understanding Model with Large-Scale Self-supervised Training.

MixAssist: An Audio-Language Dataset for Co-Creative AI Assistance in Music Mixing MERT: Acoustic Music Understanding Model with Large-Scale Self-supervised Training

Reference 39

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no resolver link, observed 2026-08-06T19:12:03.277188Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:12:03.277188Z digest=sha256:f80da73a9ee87e56b7995bb7f2ac1c513e33175cc8e037a2f9983204c0ad59e9

Observation 5c7e12d1-59c5-4fc4-9f09-c8d4fbb5d80f · outbound

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

MixAssist: An Audio-Language Dataset for Co-Creative AI Assistance in Music Mixing From Audio Deepfake Detection to AI-Generated Music Detection -- A Pathway and Overview

Reference 40

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unresolved
no resolver link, observed 2026-08-06T19:12:03.418480Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:12:03.418480Z digest=sha256:7c70fe4009c138effc364e556e5214df0b2a8694e1a94dd932ac25aa2e6f40a3

Observation 72f73185-5548-4f0e-baf3-61699b413cf7 · outbound

This paper cites ROUGE : A package for automatic evaluation of summaries.

MixAssist: An Audio-Language Dataset for Co-Creative AI Assistance in Music Mixing ROUGE : A package for automatic evaluation of summaries

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-06T19:12:03.471721Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:12:03.471721Z digest=sha256:0fedeeb6d64fa0d0ab291223dc5d42c92fb79a36f08dc91977e9838b731faf63

Observation ec03a445-e00b-477f-9d16-f8cfe6f50100 · outbound

This paper cites Clotho-aqa: A crowdsourced dataset for audio question answering.

MixAssist: An Audio-Language Dataset for Co-Creative AI Assistance in Music Mixing Clotho-aqa: A crowdsourced dataset for audio question answering

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:12:10.258634Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T19:12:03.519336Z digest=sha256:e71908ad165ce2f1b5495d0c86c4f9cbe12077a8e6a587600a5a761f77165579

Observation fadce3bf-d127-46b0-b838-29a839817b80 · outbound

This paper cites Music understanding llama: Advancing text-to-music generation with question answering and captioning.

MixAssist: An Audio-Language Dataset for Co-Creative AI Assistance in Music Mixing Music understanding llama: Advancing text-to-music generation with question answering and captioning

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:12:10.106135Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T19:12:03.588985Z digest=sha256:d50ee8d8cf772b2f91965ced1afc172ba726d795fd98fee1a1fca97a3d78ae99

Observation 1208b954-021c-442a-ba0b-6d174148dcfe · outbound

This paper cites DDSP-SFX: Acoustically-guided sound effects generation with differentiable digital signal processing.

MixAssist: An Audio-Language Dataset for Co-Creative AI Assistance in Music Mixing DDSP-SFX: Acoustically-guided sound effects generation with differentiable digital signal processing

Reference 44

Resolution
verified exact
local_arxiv, observed 2026-08-06T19:12:06.893251Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T19:12:03.702693Z digest=sha256:644ce296c7360a9ba06dac5420177b4801aad69fe40a1c2bb623792f923835b3

Observation db1d269b-c6c3-421d-b787-09088e13e796 · outbound

This paper cites The role of collaboration, creativity, and embodiment in ai learning experiences.

MixAssist: An Audio-Language Dataset for Co-Creative AI Assistance in Music Mixing The role of collaboration, creativity, and embodiment in ai learning experiences

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:12:10.010773Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T19:12:03.758528Z digest=sha256:91e968a461b667038770ee7f2b6cacbdba02f327938b6b1df76330d166578606

Observation 81880377-5553-492a-b0e9-4c8d78418a87 · outbound

This paper cites MuseCoco: Generating Symbolic Music from Text.

MixAssist: An Audio-Language Dataset for Co-Creative AI Assistance in Music Mixing MuseCoco: Generating Symbolic Music from Text

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-06T19:12:03.803929Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:12:03.803929Z digest=sha256:58672cf5a7c1f180f96ca3cedd2f5dee09faeaf59f4f3a3ce557f9c8fc3b4a83

Observation ad04b991-b5a6-49d1-b401-6bb3b7f1eb1d · outbound

This paper cites GETMusic: Generating Any Music Tracks with a Unified Representation and Diffusion Framework.

MixAssist: An Audio-Language Dataset for Co-Creative AI Assistance in Music Mixing GETMusic: Generating Any Music Tracks with a Unified Representation and Diffusion Framework

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-06T19:12:03.901323Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:12:03.901323Z digest=sha256:96a9837156c3be29000440bebfb5b7c2bcd370978664f4e8c4e0e312affa7665

Observation aeccd722-b14f-4a26-9f9d-afbb627ffbb9 · outbound

This paper cites Audio-CoT: Exploring Chain-of-Thought Reasoning in Large Audio Language Model.

MixAssist: An Audio-Language Dataset for Co-Creative AI Assistance in Music Mixing Audio-CoT: Exploring Chain-of-Thought Reasoning in Large Audio Language Model

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-06T19:12:03.971484Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:12:03.971484Z digest=sha256:ffca5924fe99585b0585afb1ac609abd1d2f35a0948761750015387909e9f293

Observation c0e75b30-a7ed-494a-87a2-ccb99154e932 · outbound

This paper cites A deep learning approach to intelligent drum mixing with the wave-u-net.

MixAssist: An Audio-Language Dataset for Co-Creative AI Assistance in Music Mixing A deep learning approach to intelligent drum mixing with the wave-u-net

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:12:09.832429Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T19:12:04.025776Z digest=sha256:6fd6b0c74893fddebf65c90dcbfac2a5ef5d1a39ede2678aa93373d391d5da09

Observation 01c3806a-0dc4-464a-8cf6-26caf8c014a8 · outbound

This paper cites Design considerations for real-time collaboration with creative artificial intelligence.

MixAssist: An Audio-Language Dataset for Co-Creative AI Assistance in Music Mixing Design considerations for real-time collaboration with creative artificial intelligence

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:12:09.731933Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T19:12:04.099317Z digest=sha256:14758cd3c685ae14e752f804703bd79ee425c25a3b6476f2e04687d2cad6c578

Observation 86663572-2a17-427b-b5bc-2a668b181d59 · outbound

This paper cites The artist in the machine: The world of AI-powered creativity.

MixAssist: An Audio-Language Dataset for Co-Creative AI Assistance in Music Mixing The artist in the machine: The world of AI-powered creativity

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:12:09.645335Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T19:12:04.204243Z digest=sha256:c4bd40a06432e3f46237aee6fc3b15ea40d7946d01938158d50d18f49a813a24

Observation 556161b6-ec73-481d-ae5b-16e14a68e3df · outbound

This paper cites An automated approach to the application of reverberation.

MixAssist: An Audio-Language Dataset for Co-Creative AI Assistance in Music Mixing An automated approach to the application of reverberation

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:12:09.475805Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T19:12:04.273497Z digest=sha256:bd15e6c1cbb08207f32b5e0dcbecf7972d4d789e32a5ef44184a43ef36cf1f5e

Observation bb9e878a-4097-4aa6-b90a-d129bc09db3e · outbound

This paper cites AI Music Mixing Systems.

MixAssist: An Audio-Language Dataset for Co-Creative AI Assistance in Music Mixing AI Music Mixing Systems

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:12:09.341487Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T19:12:04.323288Z digest=sha256:5ce3a2052811dadce6ba3b68d5609c79aba110a9918bff5293b22e7ddf8c67cf

Observation c5745ba3-2129-439c-9f15-9bd2f773cc80 · outbound

This paper cites Approaches in intelligent music production.

MixAssist: An Audio-Language Dataset for Co-Creative AI Assistance in Music Mixing Approaches in intelligent music production

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:12:09.164289Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T19:12:04.422929Z digest=sha256:6cf148e6ed4cd11342f3d558449747294b0b363a01545fadc3fa6ed2e5fbe8ce

Observation d5d0ca0e-e14c-43ec-99df-a777f72e630e · outbound

This paper cites Meanings of tools, support, and uses for creative design processes.

MixAssist: An Audio-Language Dataset for Co-Creative AI Assistance in Music Mixing Meanings of tools, support, and uses for creative design processes

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:12:09.068687Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T19:12:04.562642Z digest=sha256:2b5513e987fe9a0ed11ec4d6fa33b40b91a4b3438660d21df3ccba2cf5a61761

Observation 6db55d42-a3a3-45f5-a067-21af94a73c03 · outbound

This paper cites Collaborative artificial intelligence in music production.

MixAssist: An Audio-Language Dataset for Co-Creative AI Assistance in Music Mixing Collaborative artificial intelligence in music production

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:12:08.971498Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T19:12:04.654551Z digest=sha256:334d79d7cdd01b30adb41d8cd645bc68151b456521328ce1a61bdc03e4e5f75a

Observation dc6127da-9730-4295-b802-22577eba45e8 · outbound

This paper cites Reflexivity and research methodology: A second glance.

MixAssist: An Audio-Language Dataset for Co-Creative AI Assistance in Music Mixing Reflexivity and research methodology: A second glance

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:12:08.833397Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T19:12:04.750038Z digest=sha256:4508f839e722157d4789ca5f8ef887eab9b9170e2a2e8d73d167f42860797a23

Observation de8ebac5-132d-4a84-b647-c5397cc3b3d1 · outbound

This paper cites B leu: a method for automatic evaluation of machine translation.

MixAssist: An Audio-Language Dataset for Co-Creative AI Assistance in Music Mixing B leu: a method for automatic evaluation of machine translation

Reference 58

Resolution
unresolved
no resolver link, observed 2026-08-06T19:12:04.863388Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:12:04.863388Z digest=sha256:510a4537315a4ff300c8403421b9644a56442c17dfbf0032578ebaa10658f028

Observation e3fcb99c-b697-43a4-b9c1-d4ee0384303f · outbound

This paper cites End-to-end speech recognition: A survey.

MixAssist: An Audio-Language Dataset for Co-Creative AI Assistance in Music Mixing End-to-end speech recognition: A survey

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:12:08.645789Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T19:12:04.915163Z digest=sha256:6844f6ef52933fcb5e52413dcccf0619e60296d3ce39901c3c5f95c0eba9a120

Observation a13a1bb1-23c4-4a73-a085-35337b3a85d6 · outbound

This paper cites Robust speech recognition via large-scale weak supervision.

MixAssist: An Audio-Language Dataset for Co-Creative AI Assistance in Music Mixing Robust speech recognition via large-scale weak supervision

Reference 60

Resolution
unresolved
no resolver link, observed 2026-08-06T19:12:04.954657Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:12:04.954657Z digest=sha256:a1963de16840a70d0b291134e386f613a3d9460e9296e75dae26916f9dcdfab3

Observation 6b4f6b44-b097-4d64-96fd-f2fcc1a256a1 · outbound

This paper cites Vygotsky’s creativity options and ideas in 21st-century technology-enhanced learning design.

MixAssist: An Audio-Language Dataset for Co-Creative AI Assistance in Music Mixing Vygotsky’s creativity options and ideas in 21st-century technology-enhanced learning design

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:12:08.514684Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T19:12:04.997271Z digest=sha256:210f91c489c7d9eb075503bf032470a118df2b08d4f9882570b9ff2c1f3cc87f

Observation 06e4b495-110d-420c-80bc-9a185195f17a · outbound

This paper cites A survey of evaluation metrics used for nlg systems.

MixAssist: An Audio-Language Dataset for Co-Creative AI Assistance in Music Mixing A survey of evaluation metrics used for nlg systems

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:12:08.362763Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T19:12:05.025791Z digest=sha256:12a909181c5bdf5d41ff43481ee24c021f984fad519b4527f058035570d8afc6

Observation 05106c62-5b8e-452a-8d0c-11a521f84379 · outbound

This paper cites Knowledge-based programming for music research, volume 13.

MixAssist: An Audio-Language Dataset for Co-Creative AI Assistance in Music Mixing Knowledge-based programming for music research, volume 13

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:12:08.203647Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T19:12:05.075628Z digest=sha256:a0f266fa1e115c370f4b8e211ae91083c4c759d476f81c3d8ae074df2ff3bbc8

Observation 9d3edc35-646e-47c5-9c4c-a057b3f5f181 · outbound

This paper cites Creativity support tools.

MixAssist: An Audio-Language Dataset for Co-Creative AI Assistance in Music Mixing Creativity support tools

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:12:08.095819Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T19:12:05.150619Z digest=sha256:29fad0c14e0e90b34415c94977ee38e9540b6ccb7079bbf0fd3bc01137febe2a

Observation 217c5ab0-c47d-4d93-aee6-bd82ae06482e · outbound

This paper cites Qualitative psychology: A practical guide to research methods.

MixAssist: An Audio-Language Dataset for Co-Creative AI Assistance in Music Mixing Qualitative psychology: A practical guide to research methods

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:12:07.963764Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T19:12:05.207515Z digest=sha256:0b58eb141794c860dbfaec7459e0cbe82ce9cb1ca08d01a2ae0240d4a4ef58a9

Observation 800d1772-1e90-43b1-8287-430465b047ae · outbound

This paper cites Towards enhancing ecological validity in user studies: a systematic review of guidelines and implications for qoe research.

MixAssist: An Audio-Language Dataset for Co-Creative AI Assistance in Music Mixing Towards enhancing ecological validity in user studies: a systematic review of guidelines and implications for qoe research

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:12:07.880234Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T19:12:05.243812Z digest=sha256:b46ea99f04bf902ea973502a745d3e27312e776bedfdce7fe8a0f0a1d6a60d47

Observation 7d5575b2-01f3-4eb4-a3fa-4d900719bd18 · outbound

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

MixAssist: An Audio-Language Dataset for Co-Creative AI Assistance in Music Mixing SALMONN: Towards Generic Hearing Abilities for Large Language Models

Reference 67

Resolution
unresolved
no resolver link, observed 2026-08-06T19:12:05.293080Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:12:05.293080Z digest=sha256:603f267e3775741088dacb715e9a74ba48fbd654a96ec89ca1c812cad0c184e2

Observation 2801007f-13b0-4f4a-aa64-d4b71465d35c · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

MixAssist: An Audio-Language Dataset for Co-Creative AI Assistance in Music Mixing LLaMA: Open and Efficient Foundation Language Models

Reference 68

Resolution
unresolved
no resolver link, observed 2026-08-06T19:12:05.344846Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:12:05.344846Z digest=sha256:f8d138a006cfb176c1569d9023817ef28a6b7cc20d8cce2d8f904a99e0bdaa53

Observation 1b085716-3972-47ea-a181-175ef34fd5ce · outbound

This paper cites Towards a human-centric design framework for ai assisted music production.

MixAssist: An Audio-Language Dataset for Co-Creative AI Assistance in Music Mixing Towards a human-centric design framework for ai assisted music production

Reference 69

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:12:07.753228Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T19:12:05.400096Z digest=sha256:f391dc0a334bccf120b16d6567fddf24c0d67e0f921345dac08d1197a8c58eb7

Observation d31e843a-7704-4fdf-af99-653d5f4b48ba · outbound

This paper cites The think aloud method: a practical approach to modelling cognitive.

MixAssist: An Audio-Language Dataset for Co-Creative AI Assistance in Music Mixing The think aloud method: a practical approach to modelling cognitive

Reference 70

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:12:07.626506Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T19:12:05.452613Z digest=sha256:2ba60988cdc8a126d5a2fd01e08006696f412aa67672d3c3780e0e8f579affc8

Observation 8916cde3-5fd1-4a46-baaf-e1cc9efbf771 · outbound

This paper cites Adoption of AI Technology in the Music Mixing Workflow : An Investigation.

MixAssist: An Audio-Language Dataset for Co-Creative AI Assistance in Music Mixing Adoption of AI Technology in the Music Mixing Workflow : An Investigation

Reference 71

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 32ae2ff7-cd1a-4ce6-975e-51115e63e5e0 · outbound

This paper cites Improving llm-as-a-judge inference with the judgment distribution.

MixAssist: An Audio-Language Dataset for Co-Creative AI Assistance in Music Mixing Improving llm-as-a-judge inference with the judgment distribution

Reference 72

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unresolved
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Observation 31fef8a8-1a7f-49d7-b3b8-a8bf0d604315 · outbound

This paper cites Systematic Evaluation of LLM-as-a-Judge in LLM Alignment Tasks: Explainable Metrics and Diverse Prompt Templates.

MixAssist: An Audio-Language Dataset for Co-Creative AI Assistance in Music Mixing Systematic Evaluation of LLM-as-a-Judge in LLM Alignment Tasks: Explainable Metrics and Diverse Prompt Templates

Reference 73

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no resolver link, observed 2026-08-06T19:12:05.596485Z

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Observation b36e0ac9-fd24-4eed-b00d-53c96c9ea2e4 · outbound

This paper cites Audio-reasoner: Improving reasoning capability in large audio language models.

MixAssist: An Audio-Language Dataset for Co-Creative AI Assistance in Music Mixing Audio-reasoner: Improving reasoning capability in large audio language models

Reference 74

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no resolver link, observed 2026-08-06T19:12:05.703089Z

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Observation 684e6f44-2856-48d3-8391-c3849f981677 · outbound

This paper cites MusicBERT: Symbolic Music Understanding with Large-Scale Pre-Training.

MixAssist: An Audio-Language Dataset for Co-Creative AI Assistance in Music Mixing MusicBERT: Symbolic Music Understanding with Large-Scale Pre-Training

Reference 75

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no resolver link, observed 2026-08-06T19:12:05.761561Z

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source=arxiv_source observed=2026-08-06T19:12:05.761561Z digest=sha256:b9333d358ac2779a8dc0ca16c8df214f5540649f3deb8f17017748e847d27d80

Observation e1e2b072-1d94-4f51-92a5-9d8bebc762f7 · outbound

This paper cites BERTScore: Evaluating Text Generation with BERT.

MixAssist: An Audio-Language Dataset for Co-Creative AI Assistance in Music Mixing BERTScore: Evaluating Text Generation with BERT

Reference 76

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no resolver link, observed 2026-08-06T19:12:05.813866Z

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source=arxiv_source observed=2026-08-06T19:12:05.813866Z digest=sha256:cad3b0efe5b836e2f96e42ffd3fa88b077f6fafbf81c89886493eec09209c109

Observation a93636fe-80ae-4aa3-893f-c63336439c71 · outbound

This paper cites Judging llm-as-a-judge with mt-bench and chatbot arena.

MixAssist: An Audio-Language Dataset for Co-Creative AI Assistance in Music Mixing Judging llm-as-a-judge with mt-bench and chatbot arena

Reference 77

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unresolved
no resolver link, observed 2026-08-06T19:12:05.870502Z

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source=arxiv_source observed=2026-08-06T19:12:05.870502Z digest=sha256:577e505569399ee66470d8f52315f3a6900f935b7f05df644a07bd2ad15ef438

Observation 317d27d0-9653-4bc7-b678-f95ecf74adcc · outbound

This paper cites ProSA: Assessing and Understanding the Prompt Sensitivity of LLMs.

MixAssist: An Audio-Language Dataset for Co-Creative AI Assistance in Music Mixing ProSA: Assessing and Understanding the Prompt Sensitivity of LLMs

Reference 78

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Observation 0c3ada5d-f6dd-497e-b523-531c713afdbf · outbound

This paper cites @esa (Ref.

MixAssist: An Audio-Language Dataset for Co-Creative AI Assistance in Music Mixing @esa (Ref

Reference 79

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no resolver link, observed 2026-08-06T19:12:05.982526Z

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source=arxiv_source observed=2026-08-06T19:12:05.982526Z digest=sha256:264b7e9e4be2079f8d74f1ee846c32041d468b0164bd5f853429ca778eb0c76b

Observation 7a1f4798-232f-4628-9eaa-c6b9cb863140 · outbound

This paper cites an unresolved cited work.

MixAssist: An Audio-Language Dataset for Co-Creative AI Assistance in Music Mixing Unresolved cited work

Reference 80

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no resolver link, observed 2026-08-06T19:12:06.073013Z

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source=arxiv_source observed=2026-08-06T19:12:06.073013Z digest=sha256:1a7cbd33c13d32efa1f31abb91efafc75f3369d0f756850c7f7e704c02056719

Observation e0cf5561-767f-46db-b8e0-39de6c22670d · outbound

This paper cites We report the percentage of times each model was ranked \#1 by various judges and the average rank (lower is better).

MixAssist: An Audio-Language Dataset for Co-Creative AI Assistance in Music Mixing We report the percentage of times each model was ranked \#1 by various judges and the average rank (lower is better)

Reference 81

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Source-reported events for the cited work

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Pith citing papers

Observation 42811a9b-75de-48df-9d7b-5538f0f15a37 · inbound

Afrispeech Semantics: Evaluating Audio Semantic Reasoning in Spoken Language Models Across Domains and Accents cites this paper.

Afrispeech Semantics: Evaluating Audio Semantic Reasoning in Spoken Language Models Across Domains and Accents MixAssist: An Audio-Language Dataset for Co-Creative AI Assistance in Music Mixing

Reference 220

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verified exact
arxiv_id, observed 2026-06-30T22:15:05.391388Z

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source=arxiv_source observed=2026-06-30T22:11:44.891731Z digest=sha256:129a25dbede2d5eb022d444c485e7c0127a400d69dee2fbfc20dccc2cb2dfa7c