Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Towards Responsible AI Music: an Investigation of Trustworthy Features for Creative Systems
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2503.18814.
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 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T14:49:28.704557Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-15T15:36:13.433360Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation e2d8a8f6-4e13-4b49-b7fd-bacaaa01264f · inbound
MixAssist: An Audio-Language Dataset for Co-Creative AI Assistance in Music Mixing cites this paper.
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.
Observation cdcd03b9-a906-4a0b-81bb-2e20d69d5f43 · inbound
Opening Musical Creativity? Embedded Ideologies in Generative-AI Music Systems cites this paper.
Opening Musical Creativity? Embedded Ideologies in Generative-AI Music Systems Towards Responsible AI Music: an Investigation of Trustworthy Features for Creative Systems
Reference 11
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T21:24:34.076163Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c73d18be-27e0-42b6-8ee5-e2e116a49e9e · inbound
From Daily Song to Daily Self: Supporting Reflective Songwriting of Deaf and Hard-of-Hearing Individuals through Generative Music AI cites this paper.
From Daily Song to Daily Self: Supporting Reflective Songwriting of Deaf and Hard-of-Hearing Individuals through Generative Music AI Towards Responsible AI Music: an Investigation of Trustworthy Features for Creative Systems
Reference 31
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T15:36:13.436645Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 1b282e35-f6f6-47bb-bd7a-e6c971195bf9 · inbound
The Algorithmic Flattening of Sound: Computational Evidence and Justice Implications of AI Music Homogenization cites this paper.
The Algorithmic Flattening of Sound: Computational Evidence and Justice Implications of AI Music Homogenization Towards Responsible AI Music: an Investigation of Trustworthy Features for Creative Systems
Reference 77
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:49:28.704557Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.