Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-16T11:59:11.603433Z
Paper Citation Record · LEDGER
Evaluating Human-AI Interaction via Usability, User Experience and Acceptance Measures for MMM-C: A Creative AI System for Music Composition
As of 17 August 2026, this Paper Citation Record lists 51 of 51 outbound references and 0 inbound Pith citation observations for arXiv:2504.14071.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
51 of 51 outbound references displayed
- verified exact0
- verified fuzzy40
- unresolved11
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 060ab9ef-72a7-46b9-9a19-6a5cc8001ba4 · outbound
This paper cites Walknet: A neural-network-based interactive walking controller.
Evaluating Human-AI Interaction via Usability, User Experience and Acceptance Measures for MMM-C: A Creative AI System for Music Composition Walknet: A neural-network-based interactive walking controller
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T11:59:12.266517Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation afcd3f42-f165-41bc-8133-6aeb703b6b83 · outbound
This paper cites Bennett, Kori Inkpen, Jaime Teevan, Ruth Kikin-Gil, and Eric Horvitz.
Evaluating Human-AI Interaction via Usability, User Experience and Acceptance Measures for MMM-C: A Creative AI System for Music Composition Bennett, Kori Inkpen, Jaime Teevan, Ruth Kikin-Gil, and Eric Horvitz
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T11:59:12.246136Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation b58f7ccc-1dc9-4ae7-aa56-ee9705b5794d · outbound
This paper cites Deep Learning Techniques for Music Generation -- A Survey.
Evaluating Human-AI Interaction via Usability, User Experience and Acceptance Measures for MMM-C: A Creative AI System for Music Composition Deep Learning Techniques for Music Generation -- A Survey
Reference 7
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T11:59:11.137400Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ca96be2c-9ad8-4dcf-be3d-7e239ee56b2f · outbound
This paper cites Sus: A ’quick and dirty’ us- ability scale.
Evaluating Human-AI Interaction via Usability, User Experience and Acceptance Measures for MMM-C: A Creative AI System for Music Composition Sus: A ’quick and dirty’ us- ability scale
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T11:59:12.204121Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 9a36f455-6b94-42ca-9f17-95380f30b0d2 · outbound
This paper cites [Davis and Venkatesh, 1996] Fred D Davis and Viswanath Venkatesh.
Evaluating Human-AI Interaction via Usability, User Experience and Acceptance Measures for MMM-C: A Creative AI System for Music Composition [Davis and Venkatesh, 1996] Fred D Davis and Viswanath Venkatesh
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T11:59:12.155483Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation d58ed223-7b60-4436-9e06-1556f7112d40 · outbound
This paper cites [Davis et al., 2016] Nicholas Davis, Chih-PIn Hsiao, Kun- war Yashraj Singh, Lisa Li, and Brian Magerko.
Evaluating Human-AI Interaction via Usability, User Experience and Acceptance Measures for MMM-C: A Creative AI System for Music Composition [Davis et al., 2016] Nicholas Davis, Chih-PIn Hsiao, Kun- war Yashraj Singh, Lisa Li, and Brian Magerko
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T11:59:12.145031Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 3a981a0e-fd44-4309-8315-5dd666272522 · outbound
This paper cites LakhNES: Improving multi-instrumental music generation with cross-domain pre-training.
Evaluating Human-AI Interaction via Usability, User Experience and Acceptance Measures for MMM-C: A Creative AI System for Music Composition LakhNES: Improving multi-instrumental music generation with cross-domain pre-training
Reference 17
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T11:59:11.180289Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ee31c197-3e13-4e9a-9a2c-eca40bd3d33d · outbound
This paper cites UX design innovation: Chal- lenges for working with machine learning as a design ma- terial.
Evaluating Human-AI Interaction via Usability, User Experience and Acceptance Measures for MMM-C: A Creative AI System for Music Composition UX design innovation: Chal- lenges for working with machine learning as a design ma- terial
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T11:59:12.114031Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 9d2eec2b-73f6-46f9-aa8d-51c4f8601eba · outbound
This paper cites MMM : Exploring Conditional Multi-Track Music Generation with the Transformer.
Evaluating Human-AI Interaction via Usability, User Experience and Acceptance Measures for MMM-C: A Creative AI System for Music Composition MMM : Exploring Conditional Multi-Track Music Generation with the Transformer
Reference 19
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T11:59:11.187006Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 148b1bee-fbbe-4027-9337-55028779e152 · outbound
This paper cites Building the MetaMIDI dataset: Linking symbolic and au- dio musical data.
Evaluating Human-AI Interaction via Usability, User Experience and Acceptance Measures for MMM-C: A Creative AI System for Music Composition Building the MetaMIDI dataset: Linking symbolic and au- dio musical data
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T11:59:12.103006Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation e88672a7-250f-48a8-9b65-8bed2c8e7e95 · outbound
This paper cites [Florin, 2015] Adam Florin.
Evaluating Human-AI Interaction via Usability, User Experience and Acceptance Measures for MMM-C: A Creative AI System for Music Composition [Florin, 2015] Adam Florin
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T11:59:12.076903Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 0a2c4656-6b93-41ca-b840-721e8c81ddb9 · outbound
This paper cites Friend, collaborator, student, manager: How design of an ai-driven game level editor affects creators.
Evaluating Human-AI Interaction via Usability, User Experience and Acceptance Measures for MMM-C: A Creative AI System for Music Composition Friend, collaborator, student, manager: How design of an ai-driven game level editor affects creators
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T11:59:12.052827Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 9b2b4238-795d-4926-bc07-b4b8fa4c6fcf · outbound
This paper cites an unresolved cited work.
Evaluating Human-AI Interaction via Usability, User Experience and Acceptance Measures for MMM-C: A Creative AI System for Music Composition Unresolved cited work
Reference 25
- Resolution
- unresolved
- raw_fallback, observed 2026-08-16T11:59:12.041141Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation f79389da-c435-4c9f-b88e-ed543d381c1c · outbound
This paper cites The Bach Doodle: Approachable music composition with machine learning at scale.
Evaluating Human-AI Interaction via Usability, User Experience and Acceptance Measures for MMM-C: A Creative AI System for Music Composition The Bach Doodle: Approachable music composition with machine learning at scale
Reference 26
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T11:59:11.211827Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 83966d40-f33f-4c2f-aa2a-248b577d74a2 · outbound
This paper cites Interaction evaluation for human-computer co-creativity: A case study.
Evaluating Human-AI Interaction via Usability, User Experience and Acceptance Measures for MMM-C: A Creative AI System for Music Composition Interaction evaluation for human-computer co-creativity: A case study
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T11:59:12.029262Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 86afa153-4d63-457f-aa91-b8700de78955 · outbound
This paper cites an unresolved cited work.
Evaluating Human-AI Interaction via Usability, User Experience and Acceptance Measures for MMM-C: A Creative AI System for Music Composition Unresolved cited work
Reference 28
- Resolution
- unresolved
- raw_fallback, observed 2026-08-16T11:59:12.016681Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation dbe61efc-042d-44eb-bcb3-ee56b8485964 · outbound
This paper cites Novice-AI music co-creation via AI-steering tools for deep generative mod- els.
Evaluating Human-AI Interaction via Usability, User Experience and Acceptance Measures for MMM-C: A Creative AI System for Music Composition Novice-AI music co-creation via AI-steering tools for deep generative mod- els
Reference 31
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T11:59:11.980206Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 3e571d76-c5fe-4e97-9eb2-7662cc255646 · outbound
This paper cites A toolkit for designing interactive musical agents.
Evaluating Human-AI Interaction via Usability, User Experience and Acceptance Measures for MMM-C: A Creative AI System for Music Composition A toolkit for designing interactive musical agents
Reference 32
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T11:59:11.968020Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation fd00aef7-0a38-4844-bc49-968d0689f896 · outbound
This paper cites [Music, 2014] Amper Music.
Evaluating Human-AI Interaction via Usability, User Experience and Acceptance Measures for MMM-C: A Creative AI System for Music Composition [Music, 2014] Amper Music
Reference 35
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T11:59:11.930982Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 0c7c1d2e-4b0b-406e-a530-6305e0a2d534 · outbound
This paper cites [Newton-Rex, 2012] Ed Newton-Rex.
Evaluating Human-AI Interaction via Usability, User Experience and Acceptance Measures for MMM-C: A Creative AI System for Music Composition [Newton-Rex, 2012] Ed Newton-Rex
Reference 36
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T11:59:11.916884Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation ccb045af-bba4-43c4-8f81-4f4cd90efeb9 · outbound
This paper cites [Oore et al., 2020] Sageev Oore, Ian Simon, Sander Diele- man, Douglas Eck, and Karen Simonyan.
Evaluating Human-AI Interaction via Usability, User Experience and Acceptance Measures for MMM-C: A Creative AI System for Music Composition [Oore et al., 2020] Sageev Oore, Ian Simon, Sander Diele- man, Douglas Eck, and Karen Simonyan
Reference 37
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T11:59:11.903732Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 447f4d5e-a505-4e69-b092-2070b2053c7a · outbound
This paper cites The continuator: Musical interaction with style.
Evaluating Human-AI Interaction via Usability, User Experience and Acceptance Measures for MMM-C: A Creative AI System for Music Composition The continuator: Musical interaction with style
Reference 38
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T11:59:11.891469Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 74a29b85-4490-443c-b9f8-c0996b393490 · outbound
This paper cites An introduction to musical metacreation.
Evaluating Human-AI Interaction via Usability, User Experience and Acceptance Measures for MMM-C: A Creative AI System for Music Composition An introduction to musical metacreation
Reference 39
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T11:59:11.879958Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 9f05ff9a-3bd8-4b95-8676-38c821740671 · outbound
This paper cites an unresolved cited work.
Evaluating Human-AI Interaction via Usability, User Experience and Acceptance Measures for MMM-C: A Creative AI System for Music Composition Unresolved cited work
Reference 40
- Resolution
- unresolved
- raw_fallback, observed 2026-08-16T11:59:11.868955Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 7a5c7c28-769a-47a9-bb45-5337abe9ea1a · outbound
This paper cites [Roberts et al., 2018] Adam Roberts, Jesse Engel, Colin Raffel, Curtis Hawthorne, and Douglas Eck.
Evaluating Human-AI Interaction via Usability, User Experience and Acceptance Measures for MMM-C: A Creative AI System for Music Composition [Roberts et al., 2018] Adam Roberts, Jesse Engel, Colin Raffel, Curtis Hawthorne, and Douglas Eck
Reference 41
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T11:59:11.857065Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 43900cc7-3d8b-45db-a40e-618fe6810f80 · outbound
This paper cites Magenta studio: Augmenting creativity with deep learning in ableton live.
Evaluating Human-AI Interaction via Usability, User Experience and Acceptance Measures for MMM-C: A Creative AI System for Music Composition Magenta studio: Augmenting creativity with deep learning in ableton live
Reference 42
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T11:59:11.845247Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 97a4b914-f44d-4891-8fee-7924c6325df4 · outbound
This paper cites Music transcription modelling and composition using deep learning.
Evaluating Human-AI Interaction via Usability, User Experience and Acceptance Measures for MMM-C: A Creative AI System for Music Composition Music transcription modelling and composition using deep learning
Reference 43
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T11:59:11.295289Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ed50d063-6244-4b89-84b1-2b8d9834e2e1 · outbound
This paper cites Machine learning research that matters for music creation: A case study.
Evaluating Human-AI Interaction via Usability, User Experience and Acceptance Measures for MMM-C: A Creative AI System for Music Composition Machine learning research that matters for music creation: A case study
Reference 44
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T11:59:11.833793Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation d1778531-60ba-43d0-ac54-e66323b864b4 · outbound
This paper cites Jnana live.
Reference 45
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T11:59:11.822320Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation e30fc32a-c09a-4945-ae7d-afa6d396debf · outbound
This paper cites [Tchemeube et al., 2019] Renaud Bougueng Tchemeube, Jeff Ens, and Philippe Pasquier.
Evaluating Human-AI Interaction via Usability, User Experience and Acceptance Measures for MMM-C: A Creative AI System for Music Composition [Tchemeube et al., 2019] Renaud Bougueng Tchemeube, Jeff Ens, and Philippe Pasquier
Reference 46
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T11:59:11.809614Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 535a0aeb-58be-4ac5-8135-eba476f94d02 · outbound
This paper cites Calliope: A co-creative interface for multi-track music generation.
Evaluating Human-AI Interaction via Usability, User Experience and Acceptance Measures for MMM-C: A Creative AI System for Music Composition Calliope: A co-creative interface for multi-track music generation
Reference 47
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T11:59:11.795291Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation ffb9146c-819b-4a77-a21d-9568d6c19036 · outbound
This paper cites Computationally created soundscapes with Audio Metaphor.
Evaluating Human-AI Interaction via Usability, User Experience and Acceptance Measures for MMM-C: A Creative AI System for Music Composition Computationally created soundscapes with Audio Metaphor
Reference 48
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T11:59:11.782777Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation e86856af-d938-46fc-835d-056e5f8f0aba · outbound
This paper cites Melo- drive.
Reference 49
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T11:59:11.770579Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation c223f245-1f63-4e66-b642-7e7abe7fc6e3 · outbound
This paper cites [Yang, 2017] Qian Yang.
Evaluating Human-AI Interaction via Usability, User Experience and Acceptance Measures for MMM-C: A Creative AI System for Music Composition [Yang, 2017] Qian Yang
Reference 50
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T11:59:11.758738Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation c9e27ba7-fd3a-4796-b89a-47eeb87a86ad · outbound
This paper cites Machine learning as a UX design material: How can we imagine beyond automation, rec- ommenders, and reminders? In 2018 AAAI Spring Sympo- sium Series, 2018.
Evaluating Human-AI Interaction via Usability, User Experience and Acceptance Measures for MMM-C: A Creative AI System for Music Composition Machine learning as a UX design material: How can we imagine beyond automation, rec- ommenders, and reminders? In 2018 AAAI Spring Sympo- sium Series, 2018
Reference 51
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T11:59:11.746848Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation f431f7e1-e5b4-4f4a-8384-0ba9fd76be7b · outbound
This paper cites Human-computer co- creativity: Blending human and computational creativity.
Evaluating Human-AI Interaction via Usability, User Experience and Acceptance Measures for MMM-C: A Creative AI System for Music Composition Human-computer co- creativity: Blending human and computational creativity
Reference 1989
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T11:59:12.125060Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation dc1d708a-0831-42ca-ad1a-6d0e10ee0ac0 · outbound
This paper cites Quantifying the creativity support of digital tools through the creativity support index.
Evaluating Human-AI Interaction via Usability, User Experience and Acceptance Measures for MMM-C: A Creative AI System for Music Composition Quantifying the creativity support of digital tools through the creativity support index
Reference 1996
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T11:59:12.193715Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 1af8de73-9079-45c4-b2f4-eafd6bd26d01 · outbound
This paper cites Flowmachines.
Reference 2003
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T11:59:12.164951Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 6f6b8626-2e5c-4c73-b8ee-447daa04db79 · outbound
This paper cites [Kranabetter et al., 2022] Joshua Kranabetter, Craig Carpen- ter, Renaud Bougueng Tchemeube, Philippe Pasquier, and Miles Thorogood.
Evaluating Human-AI Interaction via Usability, User Experience and Acceptance Measures for MMM-C: A Creative AI System for Music Composition [Kranabetter et al., 2022] Joshua Kranabetter, Craig Carpen- ter, Renaud Bougueng Tchemeube, Philippe Pasquier, and Miles Thorogood
Reference 2008
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T11:59:12.004256Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation a3790f8a-0319-4c48-a727-244a8cc820f0 · outbound
This paper cites Manuscore: Music notation-based com- puter assisted composition.
Evaluating Human-AI Interaction via Usability, User Experience and Acceptance Measures for MMM-C: A Creative AI System for Music Composition Manuscore: Music notation-based com- puter assisted composition
Reference 2011
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T11:59:11.955815Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 16aa695b-1d86-42c2-a21a-8e6aef7ca538 · outbound
This paper cites an unresolved cited work.
Evaluating Human-AI Interaction via Usability, User Experience and Acceptance Measures for MMM-C: A Creative AI System for Music Composition Unresolved cited work
Reference 2012
- Resolution
- unresolved
- raw_fallback, observed 2026-08-16T11:59:11.943337Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation a77bb6af-9314-4335-b3d1-822b2f568a56 · outbound
This paper cites Usability testing essen- tials: Ready, set.
Evaluating Human-AI Interaction via Usability, User Experience and Acceptance Measures for MMM-C: A Creative AI System for Music Composition Usability testing essen- tials: Ready, set
Reference 2013
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T11:59:12.225358Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 910383cd-6a0a-4640-a118-1982c62c1d66 · outbound
This paper cites an unresolved cited work.
Evaluating Human-AI Interaction via Usability, User Experience and Acceptance Measures for MMM-C: A Creative AI System for Music Composition Unresolved cited work
Reference 2014
- Resolution
- unresolved
- raw_fallback, observed 2026-08-16T11:59:12.184061Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 87b95735-2467-41cb-8fe2-ea4328ccb829 · outbound
This paper cites [Grace et al., 2015] Kazjon Grace, Mary Lou Maher, Dou- glas Fisher, and Katherine Brady.
Evaluating Human-AI Interaction via Usability, User Experience and Acceptance Measures for MMM-C: A Creative AI System for Music Composition [Grace et al., 2015] Kazjon Grace, Mary Lou Maher, Dou- glas Fisher, and Katherine Brady
Reference 2015
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T11:59:12.064939Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation bf05c3de-e4c6-4abc-ae32-667c7160fd6b · outbound
This paper cites [Davis, 1989] Fred D Davis.
Evaluating Human-AI Interaction via Usability, User Experience and Acceptance Measures for MMM-C: A Creative AI System for Music Composition [Davis, 1989] Fred D Davis
Reference 2016
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T11:59:12.134951Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation f6a54fd2-5055-478e-97d8-327e8c5a088a · outbound
This paper cites Groovenet: Real-time music-driven dance movement generation using artificial neural net- works.
Evaluating Human-AI Interaction via Usability, User Experience and Acceptance Measures for MMM-C: A Creative AI System for Music Composition Groovenet: Real-time music-driven dance movement generation using artificial neural net- works
Reference 2017
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T11:59:12.255941Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 068f7219-8d56-4f21-bdc6-2d0cf19dba99 · outbound
This paper cites [Creswell et al., 2003] John W Creswell, Vicki L Plano Clark, Michelle L Gutmann, and William E Hanson.
Evaluating Human-AI Interaction via Usability, User Experience and Acceptance Measures for MMM-C: A Creative AI System for Music Composition [Creswell et al., 2003] John W Creswell, Vicki L Plano Clark, Michelle L Gutmann, and William E Hanson
Reference 2018
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T11:59:12.174201Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation eb637e8e-d54c-4d99-aab7-dbfeeff52eb5 · outbound
This paper cites [Anderson et al., 2013] Christopher Anderson, Arne Eigen- feldt, and Philippe Pasquier.
Evaluating Human-AI Interaction via Usability, User Experience and Acceptance Measures for MMM-C: A Creative AI System for Music Composition [Anderson et al., 2013] Christopher Anderson, Arne Eigen- feldt, and Philippe Pasquier
Reference 2019
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T11:59:12.235779Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 06f37d9d-5639-4026-8d42-c8d9b1c451d2 · outbound
This paper cites an unresolved cited work.
Evaluating Human-AI Interaction via Usability, User Experience and Acceptance Measures for MMM-C: A Creative AI System for Music Composition Unresolved cited work
Reference 2020
- Resolution
- unresolved
- raw_fallback, observed 2026-08-16T11:59:12.214716Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 661a0d16-bd5b-4d1f-abca-8bd963ad2876 · outbound
This paper cites Melodysauce.
Reference 2021
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T11:59:12.090421Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 954b88ab-c23c-40fb-b24d-d2a430c93221 · outbound
This paper cites Automatic stylistic composition of bach chorales with deep lstm.
Evaluating Human-AI Interaction via Usability, User Experience and Acceptance Measures for MMM-C: A Creative AI System for Music Composition Automatic stylistic composition of bach chorales with deep lstm
Reference 2022
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T11:59:11.991552Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Pith citing papers
No inbound Pith citation observations are available.