Paper Citation Record · LEDGER

Towards Responsible AI Music: an Investigation of Trustworthy Features for Creative Systems

As of 23 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.

pith.paper-citation-record.v1
2503.18814 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:49:28.704557Z

measured 0 of 1 external citation measurements

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 2026-08-23T06:30:58.430688+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.