Paper Citation Record · LEDGER

Genre Bias or Aesthetic Perception? Identifying and Mitigating Shortcut Learning in Music Evaluation

As of 10 August 2026, this Paper Citation Record lists 29 of 29 outbound references and 1 inbound Pith citation observation for arXiv:2607.13903.

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

pith.paper-citation-record.v1
2607.13903 v1

Coverage vector

measured 29 of 29 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-02T03:25:50.306840Z

measured 30 of 30 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-02T03:25:50.204971Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

29 of 29 outbound references displayed

verified exact0
verified fuzzy0
unresolved29
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malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 59db3020-5b1a-4ea4-9bc9-f77832a7e587 · outbound

This paper cites Genre Bias or Aesthetic Perception? Identifying and Mitigating Shortcut Learning in Music Evaluation.

Genre Bias or Aesthetic Perception? Identifying and Mitigating Shortcut Learning in Music Evaluation Genre Bias or Aesthetic Perception? Identifying and Mitigating Shortcut Learning in Music Evaluation

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-02T03:25:50.204971Z

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Observation b8fed224-5ba3-4bec-9e1d-5aa4283afa8b · outbound

This paper cites Ideally, aesthetic judgments should depend on genre only through quality-relevant musical factors.

Genre Bias or Aesthetic Perception? Identifying and Mitigating Shortcut Learning in Music Evaluation Ideally, aesthetic judgments should depend on genre only through quality-relevant musical factors

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-02T03:25:50.209698Z

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Observation 8e735f37-c9ec-4473-80ef-3066ce87142f · outbound

This paper cites an unresolved cited work.

Genre Bias or Aesthetic Perception? Identifying and Mitigating Shortcut Learning in Music Evaluation Unresolved cited work

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-02T03:25:50.213410Z

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Observation 966162cf-da94-469d-8041-f61a4efde63f · outbound

This paper cites Instead of relying purely on intrin- sic acoustic cues relevant to musical aesthetics, the model tends to exploit correlations between genre-related features and score.

Genre Bias or Aesthetic Perception? Identifying and Mitigating Shortcut Learning in Music Evaluation Instead of relying purely on intrin- sic acoustic cues relevant to musical aesthetics, the model tends to exploit correlations between genre-related features and score

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-02T03:25:50.217486Z

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Observation 8d417c11-b649-4896-9ae2-0b8fd5dc66d3 · outbound

This paper cites Following the standard SongEval setup, the baseline model is trained us- ing the MSE objective with the Adam optimizer, a learn- ing rate of3×10 −5, for 30 epochs.

Genre Bias or Aesthetic Perception? Identifying and Mitigating Shortcut Learning in Music Evaluation Following the standard SongEval setup, the baseline model is trained us- ing the MSE objective with the Adam optimizer, a learn- ing rate of3×10 −5, for 30 epochs

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-02T03:25:50.221062Z

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Observation bff6cce8-db40-4db7-a51c-a10f504cfd28 · outbound

This paper cites Through a pro- gressive diagnostic analyses, we show that models rely on genre-related signals as proxies for musical aesthetics, fur- ther leading to pop-centric bias.

Genre Bias or Aesthetic Perception? Identifying and Mitigating Shortcut Learning in Music Evaluation Through a pro- gressive diagnostic analyses, we show that models rely on genre-related signals as proxies for musical aesthetics, fur- ther leading to pop-centric bias

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-02T03:25:50.225076Z

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Observation 9cd5093e-e1b5-47c5-abb8-c76c1e7e303d · outbound

This paper cites While our method mitigates shortcut learning dur- ing optimization, a more diverse dataset with reliable and balanced annotations remains essential.

Genre Bias or Aesthetic Perception? Identifying and Mitigating Shortcut Learning in Music Evaluation While our method mitigates shortcut learning dur- ing optimization, a more diverse dataset with reliable and balanced annotations remains essential

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-02T03:25:50.228710Z

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Observation bceef128-e02e-480d-ad8b-ea0179ed1851 · outbound

This paper cites Survey on the evaluation of generative models in music,.

Genre Bias or Aesthetic Perception? Identifying and Mitigating Shortcut Learning in Music Evaluation Survey on the evaluation of generative models in music,

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-02T03:25:50.232176Z

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Unavailable: canonical work link unavailable.

Observation 50a2b033-8ad3-4448-b231-f13527c686e4 · outbound

This paper cites Benchmarking music generation models and metrics via human preference studies,.

Genre Bias or Aesthetic Perception? Identifying and Mitigating Shortcut Learning in Music Evaluation Benchmarking music generation models and metrics via human preference studies,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-02T03:25:50.235616Z

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Observation 66f4edb7-28d8-4508-8d13-e04b16b9dab7 · outbound

This paper cites Musicrl: aligning Proceedings of the 27th ISMIR Conference, Abu Dhabi, UAE, November 08–12, 2026 music generation to human preferences,.

Genre Bias or Aesthetic Perception? Identifying and Mitigating Shortcut Learning in Music Evaluation Musicrl: aligning Proceedings of the 27th ISMIR Conference, Abu Dhabi, UAE, November 08–12, 2026 music generation to human preferences,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-02T03:25:50.239431Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 587e34ae-1892-4534-877b-1f7ed9f78496 · outbound

This paper cites Meta Audiobox Aesthetics: Unified Automatic Quality Assessment for Speech, Music, and Sound.

Genre Bias or Aesthetic Perception? Identifying and Mitigating Shortcut Learning in Music Evaluation Meta Audiobox Aesthetics: Unified Automatic Quality Assessment for Speech, Music, and Sound

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-02T03:25:50.242720Z

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Observation 27e2d958-5223-438d-9f00-2a0a13e1222f · outbound

This paper cites SongEval: A Benchmark Dataset for Song Aesthetics Evaluation.

Genre Bias or Aesthetic Perception? Identifying and Mitigating Shortcut Learning in Music Evaluation SongEval: A Benchmark Dataset for Song Aesthetics Evaluation

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-02T03:25:50.246420Z

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Observation c57be581-8325-4b42-8ac2-2f27482d9289 · outbound

This paper cites Musiceval: A generative music dataset with expert ratings for automatic text-to- music evaluation,.

Genre Bias or Aesthetic Perception? Identifying and Mitigating Shortcut Learning in Music Evaluation Musiceval: A generative music dataset with expert ratings for automatic text-to- music evaluation,

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-02T03:25:50.250189Z

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Observation 447e2b35-4d6a-4d56-a22b-28261ef656c9 · outbound

This paper cites Fr\’echet audio distance: A reference-free metric for evaluating music enhancement algorithms,.

Genre Bias or Aesthetic Perception? Identifying and Mitigating Shortcut Learning in Music Evaluation Fr\’echet audio distance: A reference-free metric for evaluating music enhancement algorithms,

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-02T03:25:50.253763Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 97a796b2-b450-4f09-be38-0f38369e694d · outbound

This paper cites Mulan: A joint embedding of music audio and natural language,.

Genre Bias or Aesthetic Perception? Identifying and Mitigating Shortcut Learning in Music Evaluation Mulan: A joint embedding of music audio and natural language,

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-02T03:25:50.257058Z

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Observation ad823f21-6f4d-4672-a395-80f344393ab3 · outbound

This paper cites Adapting frechet audio distance for generative music evaluation,.

Genre Bias or Aesthetic Perception? Identifying and Mitigating Shortcut Learning in Music Evaluation Adapting frechet audio distance for generative music evaluation,

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-02T03:25:50.260384Z

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Unavailable: canonical work link unavailable.

Observation c0c24f11-2f11-42f6-8fd6-1455da69ed83 · outbound

This paper cites Yue: Scaling open foundation models for long-form music genera- tion,.

Genre Bias or Aesthetic Perception? Identifying and Mitigating Shortcut Learning in Music Evaluation Yue: Scaling open foundation models for long-form music genera- tion,

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-02T03:25:50.263726Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5a9e46de-9faa-4903-bd0e-2cc0267a3d6b · outbound

This paper cites From aesthetics to human preferences: Compara- tive perspectives of evaluating text-to-music systems,.

Genre Bias or Aesthetic Perception? Identifying and Mitigating Shortcut Learning in Music Evaluation From aesthetics to human preferences: Compara- tive perspectives of evaluating text-to-music systems,

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-02T03:25:50.267189Z

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Unavailable: canonical work link unavailable.

Observation 5e5b22d4-da3c-4a2b-9240-2e9286c47b05 · outbound

This paper cites The icassp 2026 automatic song aesthetics evaluation challenge,.

Genre Bias or Aesthetic Perception? Identifying and Mitigating Shortcut Learning in Music Evaluation The icassp 2026 automatic song aesthetics evaluation challenge,

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-02T03:25:50.270513Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 483f2294-99c3-441c-9895-cc46296fcd3d · outbound

This paper cites Robust learning from noisily labeled long- tailed data via fairness regularizer,.

Genre Bias or Aesthetic Perception? Identifying and Mitigating Shortcut Learning in Music Evaluation Robust learning from noisily labeled long- tailed data via fairness regularizer,

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-02T03:25:50.274174Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ea2f2d44-07aa-414f-98cc-099073cb692b · outbound

This paper cites DiffRhythm+: Controllable and Flexible Full-Length Song Generation with Preference Optimization.

Genre Bias or Aesthetic Perception? Identifying and Mitigating Shortcut Learning in Music Evaluation DiffRhythm+: Controllable and Flexible Full-Length Song Generation with Preference Optimization

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-02T03:25:50.277562Z

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Unavailable: canonical work link unavailable.

Observation db7d261c-a992-4881-837a-d860a877bf17 · outbound

This paper cites ACE-Step: A Step Towards Music Generation Foundation Model.

Genre Bias or Aesthetic Perception? Identifying and Mitigating Shortcut Learning in Music Evaluation ACE-Step: A Step Towards Music Generation Foundation Model

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-02T03:25:50.281276Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8cfdcfd5-9973-4f87-bf99-0136d5f53417 · outbound

This paper cites Levo: High- quality song generation with multi-preference align- ment,.

Genre Bias or Aesthetic Perception? Identifying and Mitigating Shortcut Learning in Music Evaluation Levo: High- quality song generation with multi-preference align- ment,

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-02T03:25:50.286215Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e521509e-55ca-4174-97c4-7dc62838335b · outbound

This paper cites JAM: A Tiny Flow-based Song Generator with Fine-grained Controllability and Aesthetic Alignment.

Genre Bias or Aesthetic Perception? Identifying and Mitigating Shortcut Learning in Music Evaluation JAM: A Tiny Flow-based Song Generator with Fine-grained Controllability and Aesthetic Alignment

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-02T03:25:50.289899Z

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Observation 26e5f61f-fc59-46e6-9c75-2370bb031194 · outbound

This paper cites Songecho: Towards cover song generation via instance-adaptive element-wise linear modulation,.

Genre Bias or Aesthetic Perception? Identifying and Mitigating Shortcut Learning in Music Evaluation Songecho: Towards cover song generation via instance-adaptive element-wise linear modulation,

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-02T03:25:50.293605Z

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Observation 3d6ae314-cffb-4667-9ee3-5abcfd4a0515 · outbound

This paper cites The mtg-jamendo dataset for automatic mu- sic tagging.

Genre Bias or Aesthetic Perception? Identifying and Mitigating Shortcut Learning in Music Evaluation The mtg-jamendo dataset for automatic mu- sic tagging

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-02T03:25:50.296969Z

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Observation 8b920a9f-0e18-4fb4-95bb-3faf0c70d605 · outbound

This paper cites M6: multi- generator, multi-domain, multi-lingual and cultural, multi-genres, multi-instrument machine-generated mu- sic detection databases,.

Genre Bias or Aesthetic Perception? Identifying and Mitigating Shortcut Learning in Music Evaluation M6: multi- generator, multi-domain, multi-lingual and cultural, multi-genres, multi-instrument machine-generated mu- sic detection databases,

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-02T03:25:50.300208Z

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Observation a180b172-28f9-464a-b4dc-3cb3e1f281ce · outbound

This paper cites CMI-RewardBench: Evaluating Music Reward Models with Compositional Multimodal Instruction.

Genre Bias or Aesthetic Perception? Identifying and Mitigating Shortcut Learning in Music Evaluation CMI-RewardBench: Evaluating Music Reward Models with Compositional Multimodal Instruction

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-02T03:25:50.303432Z

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Unavailable: canonical work link unavailable.

Observation 9abf13a8-06f0-42b7-b197-4b29a214b8fb · outbound

This paper cites Qwen3-Omni Technical Report.

Genre Bias or Aesthetic Perception? Identifying and Mitigating Shortcut Learning in Music Evaluation Qwen3-Omni Technical Report

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-02T03:25:50.306840Z

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Unavailable: canonical work link unavailable.

Pith citing papers

Observation 59db3020-5b1a-4ea4-9bc9-f77832a7e587 · inbound