Pith. sign in

Paper Citation Record · LEDGER

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

As of 19 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 2026-08-19T06:32:44.657259+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

Resolution
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:bea6d3e805c8ea74d4832eabfe0958b66d38ae0e99c9d563b94e202923367e76

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

Resolution
unresolved
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=sha256:3c36e583575736385e1481d9bba1c4a73cb4b636f906ab1dbf9d0ee8d9b7fbed

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

Resolution
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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-06T19:12:01.257645Z digest=sha256:7535f0a4c3a215c931b97295cab9063cd80cd18df950a757b061b627c3a1a79b

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

Resolution
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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-06T19:12:01.293150Z digest=sha256:cb66879ef9f51c9d479671ebf4e21c52f6aee3733ac764732a0b20b3e19cbafe

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

Resolution
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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-06T19:12:01.312221Z digest=sha256:06094509d633bc10c6b75a3fc3ebbe427f563396576c5b1ed1f082d3981f9ce3

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

Resolution
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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-06T19:12:01.363646Z digest=sha256:5ccc6ae6b66ec4445f70ce71e3b843a2cd8668fc31338cec8e2f9c947f307193

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

Resolution
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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-06T19:12:01.443136Z digest=sha256:903218719831092424825be94bbb1e33b22d0408da6c2318df35b87c51a3692f

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-06T19:12:01.491727Z digest=sha256:d43dbe4e3d32c5f06dec75c452a0376a1f3390bf13664eca2d9329fdf809e3e8

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

Resolution
unresolved
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=sha256:97c3cc4ddd808ebcafe7ec5fde15ec72f823622479c3785f59af8f25c5d60396

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

Resolution
unresolved
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:fb3929e7a027d8fd748735a643bce8c7d59b987d2bdac0fa11e641e80900ddef

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

Resolution
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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-06T19:12:01.604796Z digest=sha256:524a2145a639c8b88824c83b1a6eae3bc0eba5b940f190a3ba4279b08dd0e393

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

Resolution
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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-06T19:12:01.647247Z digest=sha256:0b48c4bb4d475bf6c426064f6a47e0c88bd51d00264c3418f61f2a73ac8e3338

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

Resolution
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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-06T19:12:01.672952Z digest=sha256:b4b0422152cbca730f6909176e9c95c3e45a217ddcfad0b25d077a5a6aa63df7

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

Resolution
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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-06T19:12:01.787842Z digest=sha256:d39223feac7822235f814da89c28c2a7f10c779275360383463c6e9845165c7f

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

Resolution
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=sha256:3b873f305fb5c832b33b6e0478eac29e60e169741d4c448640db8527691c4991

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=sha256:0350202c20922d0f1d3b6c533cf01f5813f7e6a9d6738d20adba01ebfc6362d6

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-06T19:12:01.981540Z digest=sha256:13feb51360deb50af5ab052159023cfa7513466f810540725e786d627cfab58d

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-06T19:12:02.064756Z digest=sha256:d523b423da6eeae2cedce385e8943111361a99b768d4d37f14bc139b1de443e2

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-06T19:12:02.100877Z digest=sha256:5bf279ce66133daae474cf1e9914e129829411b8f9d19e4641106768ca97f242

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

Resolution
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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-06T19:12:02.128265Z digest=sha256:10e77c9e5e33fd370e2f744ab325a6883bff6e8ebbe3d3fe4868e29058976e25

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:12:02.159507Z digest=sha256:0d2b9bad6ad9837f84490d73d210324da4bbcccd0d3faca04a865253a4c5fafb

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:12:02.199996Z digest=sha256:b7e9a7df99fe9a96c100ee92c3ea6eb7aa35d39cd94ca9f96691a3a5b2212ab9

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:12:02.251550Z digest=sha256:8280817575f9181e4def874419c847e7da8113597b35716213f42b78a9ef2bc6

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

Resolution
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=sha256:4f904cfef168251003f93754fb7110dc92455202caf313e85b2c002590af3b55

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

Resolution
unresolved
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:da1a95d3ef6ba396120ab9bbc2c30cf57e7f3fa5d70b736287ca1eb1c9ba950c

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

Resolution
unresolved
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=sha256:53781c9dce6accf5c251cb6f9bc89794365620cc84d2ea801f0ed5f071eca818

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

Resolution
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:cdbfeb5ab4741ef50bc468f73e54cbb085ba457ce8f3ecfc322c35beb1697514

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

Resolution
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=sha256:28c9d80d6e39f2e253dbee653d52159b196edd66bcdfdd7a2033d4ac654f36e6

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

Resolution
unresolved
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:fa04786c385c0dfe2b94fccab3fbd38b67ae7e47f12d762268a59796bd530a1f

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-06T19:12:02.690160Z digest=sha256:5659e192858b1bc560f9cf7c4f75b7d38f50b2ddceaa010ab18237e7c0b3b55e

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

Resolution
unresolved
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=sha256:0c12b94976ea8b0e3d83aa97f34d718ab3eac25e75597ad05f0b4b3c54027b86

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

Resolution
unresolved
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=sha256:039c1b9e2398a125a5e4b30e29801696fd1090ce0f0c82da5d7f288fcdbb4dc4

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

Resolution
unresolved
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=sha256:7a3c6f0008aa5ba875cd913fe7bff945a4ea3747076320f33404d43736dcfa0e

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-06T19:12:02.891995Z digest=sha256:86846ed9694b0bf3f5a62151ca77a33d732958958fa120ee624bac3761968688

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

Resolution
unresolved
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=sha256:8596658bd8c27ac46a71d4a94999bf8d95f0769259bce66145ec733af408cfb2

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

Resolution
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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-06T19:12:03.086540Z digest=sha256:290fb69db582a022c88aa01fdbd448232f0831e7197798401f69badc89cc618f

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

Resolution
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=sha256:2560618ee679d78e26083b8510857b653960068e8e9a2fcd5e72264b579f9c72

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

Resolution
unresolved
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=sha256:564210f30b61944c11bf7c6533195c72ab0f1edcd0e87491b3bc27aa13425c83

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

Resolution
unresolved
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:c7691e7c772132d100375eea6c943e3c1a1e7c450663f4c42e54cc600a1651f3

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

Resolution
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=sha256:14d77d0925653f4f7b84e9dbac7320237ae109ce44b1584f528c402324f5479c

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:aa9f39fcc7246d4a31fc215a8bd0cb195141f5e03d9d58129652e72e99a82e21

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-06T19:12:03.519336Z digest=sha256:b3be819bbebdd6739149dcb49f1f2a78a4d7fe14bb4d4a2d538dbfeb18c45f50

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-06T19:12:03.588985Z digest=sha256:a1241b65e3166a1dedeaefe8c2621414081a01b011e73d51e65a6ed1f4a9c154

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-06T19:12:03.702693Z digest=sha256:c1729207e6df41c15aab1b7b57d78a25cfce15045812c9fc7a9ed419283bd8c2

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-06T19:12:03.758528Z digest=sha256:e4afa8ea30a42f826c7ac9b1bfc9ecc4d68ecf57a621810c38bfeaeed8b2b02f

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:ee2efe8d8345a0ce3bd470efc3a8be6b8b787e1a8d6a0c14d745f08de6e85542

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:cb88cabe97804e286f16fcc1e8abf6b0d3d63ad4f745edbf738615915e4ba49e

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:a35fab6653941f3eaad548a5e189aab84c1d83223e78c1aefae51bf337785988

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-06T19:12:04.025776Z digest=sha256:7810bba3c79d571dbe445ffc4ece92cd489e45667b2db233b956fc855ab265d9

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-06T19:12:04.099317Z digest=sha256:f59a29cf8253cb3e3f429f1e96a310bbd066e13c492b80ba5f0f866652f7b418

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-06T19:12:04.204243Z digest=sha256:11a2495414bc5a6f83fa85915c6d4c7ffc01d38f2e413662954c6f1e847c5dc6

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-06T19:12:04.273497Z digest=sha256:aed89adfabda172e5b193a615999826d6c43770a258a99a3fa116047513b01d0

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-06T19:12:04.323288Z digest=sha256:3ee0c068cc9ad17917664df32b57eac98d73cbaa70ef3cb1ad30236ab4596fe0

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-06T19:12:04.422929Z digest=sha256:d0607e191fb3a4e8f8b621ef081d79250ec972f1dd5ea3d4a9dd58974a630f84

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-06T19:12:04.562642Z digest=sha256:b0deb9270eb12338617731153c3104445903108bcd18da0e567901cc24d7319b

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-06T19:12:04.654551Z digest=sha256:2373da3ff40146f6bd063ec095d525b3bf460ab55ad7daed48e875ca66cc7c86

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-06T19:12:04.750038Z digest=sha256:01db438445498e853e2b25b523beded2ccdbc680ccd92ae8541923e5b53acae7

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=sha256:9bcd4200b8ec1c30836a40a89c33396a08875dc558cebd1cc0e9b4a0eabe13f2

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-06T19:12:04.915163Z digest=sha256:8137cbeb341dc017b72e79939f24708844b06871dd43144d82bc38dc790132a5

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=sha256:1c4a518e7471486b57f3fbe179e8011341833bba17443531dca264377c1e8c28

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-06T19:12:04.997271Z digest=sha256:599a031b201eedcaf02126b2e16a0b79cedfeae5569cf746fa66efcdc91a8266

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-06T19:12:05.025791Z digest=sha256:20903d0af4433650600a823a536b35868529480b3f3bc4a9ad2ac1bcdc46faac

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-06T19:12:05.075628Z digest=sha256:7f79660a8f2f83335ac70ae55e76d7d8bdaca69de9262e48334fb44c40eff5a5

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-06T19:12:05.150619Z digest=sha256:8f4c91488c40520e99027a1875d7e09b0f28f72b7c7037ae6103e9aec2de61e2

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-06T19:12:05.207515Z digest=sha256:589d26dcf1581c054ebe2ce82d119cb752e4a62fa1bcef3e2b4509431602fd69

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-06T19:12:05.243812Z digest=sha256:406ba395b83c9afcef4ec08c386584962e3239180000610a43a261b442381f2d

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:b693302d79dd7a1cf16dd86424c9ca693631d76c8bd9d07e6f474850739a88ae

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:faec26c70f19085faae79a6ff3732d5abfb6661876f2cafad8617de3d8d2290a

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-06T19:12:05.400096Z digest=sha256:b096c858713e81e0c78bd1706943da0c6d5441388f0918d79cc84a132218a092

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-06T19:12:05.452613Z digest=sha256:c3fd18186e9b0a8b4bb5c34405e11bfda52e44bbd917405c042dee7ded8da182

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:12:07.503154Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-06T19:12:05.538096Z digest=sha256:4697920c5439c7cf830e34928e5313a81db03ef93d907a9d71979517c8e796e2

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

Resolution
unresolved
no resolver link, observed 2026-08-06T19:12:05.565363Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:12:05.565363Z digest=sha256:487134b68df537eb1066c228241ac40bbcfdef9be2f8939ca8e7080131ab8856

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:12:05.596485Z digest=sha256:09a7a120b2e14fcfe0af9b9c601c57d249762e52948897aebbfdae123627701d

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:12:05.703089Z digest=sha256:6588f2a58c43ef9f63bbf24e2c2015a78232fa7c5e608301198cde13c6bc242c

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:12:05.761561Z digest=sha256:43425642ec8ea9e05d0f3c36b5440cf5ee7285920bc58b265fec868048cf9672

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:12:05.813866Z digest=sha256:f5d4acfd6884dc7c5691aeb67e1cb413a4a181ef368e5014dbae0daab101ad45

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:12:05.870502Z digest=sha256:edfcbac097accfb2c0d7c83dc89b58ba19c426da7884241f80f6af87d19d8015

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

Resolution
unresolved
no resolver link, observed 2026-08-06T19:12:05.908000Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:12:05.908000Z digest=sha256:66e66ec18ea34cb344ff4766cf37d77c33528ea5302513e25e1e88029252f215

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:12:05.982526Z digest=sha256:0e23063819773924109100f748e532dbce4568449648a7fb5c2cb9d461fac4ba

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:12:06.073013Z digest=sha256:5831566ef8723402b4cc82bbb76b3d6b946445e2a08d16eb843400b4ae54b153

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

Resolution
malformed identifier
no resolver link, observed 2026-08-06T19:12:06.105833Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:12:06.105833Z digest=sha256:fa6d18c89206053e3bc0221936145139a5cdafa2364cd8206660ecba4ccbb610

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

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-06-30T22:11:44.891731Z digest=sha256:32707d9e724b824855810e214d65e77ac5ebd5d059b3dcaa088e86a6779cc5e4