Paper Citation Record · LEDGER

Training a Perceptual Model for Evaluating Auditory Similarity in Music Adversarial Attack

As of 10 August 2026, this Paper Citation Record lists 33 of 33 outbound references and 0 inbound Pith citation observations for arXiv:2509.04985.

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

pith.paper-citation-record.v1
2509.04985 v1

Coverage vector

measured 33 of 33 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T05:48:43.979715Z

measured 33 of 33 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 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

33 of 33 outbound references displayed

verified exact0
verified fuzzy29
unresolved4
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 7361574d-f9b0-4111-9afe-2511e3ff543c · outbound

This paper cites In: Asian Conference on Machine Learning.

Training a Perceptual Model for Evaluating Auditory Similarity in Music Adversarial Attack In: Asian Conference on Machine Learning

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:48:48.167855Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 11a7b01f-1d4a-4b68-92e1-734f189a0642 · outbound

This paper cites In: Machine Learning for Music Discovery Workshop, International Conference on Machine Learning (ICML).

Training a Perceptual Model for Evaluating Auditory Similarity in Music Adversarial Attack In: Machine Learning for Music Discovery Workshop, International Conference on Machine Learning (ICML)

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:48:48.150365Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation d2f4afb2-558b-4f09-8f32-81c77f56962f · outbound

This paper cites In: 2017 IEEE Symposium on Security and Privacy (SP).

Training a Perceptual Model for Evaluating Auditory Similarity in Music Adversarial Attack In: 2017 IEEE Symposium on Security and Privacy (SP)

Reference 3

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Source-reported events for the cited work

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Observation 1cd31db8-4fc5-4b2a-acc7-42374186af3d · outbound

This paper cites Multimedia Tools and Applications82(17), 26451–26463 (2023).

Training a Perceptual Model for Evaluating Auditory Similarity in Music Adversarial Attack Multimedia Tools and Applications82(17), 26451–26463 (2023)

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:48:48.130872Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 107b62df-fdcf-424e-88ef-947b82c669c8 · outbound

This paper cites In: 18th International Society for Music Information Retrieval Con- ference (2017).

Training a Perceptual Model for Evaluating Auditory Similarity in Music Adversarial Attack In: 18th International Society for Music Information Retrieval Con- ference (2017)

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:48:48.119682Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation e4a96d80-73c2-438b-97dd-7fe51fde6d96 · outbound

This paper cites In: ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Training a Perceptual Model for Evaluating Auditory Similarity in Music Adversarial Attack In: ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:48:48.109507Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 543fb064-42a6-4938-aa69-9fccbf53a512 · outbound

This paper cites In: Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security.

Training a Perceptual Model for Evaluating Auditory Similarity in Music Adversarial Attack In: Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:48:48.100335Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation db03b255-eeb0-4eb7-8ae3-327718cc63e4 · outbound

This paper cites In: 2020 4th International Conference on Electronics, Communication and Aerospace Technology (ICECA).

Training a Perceptual Model for Evaluating Auditory Similarity in Music Adversarial Attack In: 2020 4th International Conference on Electronics, Communication and Aerospace Technology (ICECA)

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:48:48.090103Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation a0f00ccd-06bc-4bf4-b731-2be371a33b46 · outbound

This paper cites IEEE Transactions on Acoustics, Speech, and Signal Processing24(5), 380–391 (1976).

Training a Perceptual Model for Evaluating Auditory Similarity in Music Adversarial Attack IEEE Transactions on Acoustics, Speech, and Signal Processing24(5), 380–391 (1976)

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:48:48.080773Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation a9068a5d-b76e-485c-b450-91963cc0c91d · outbound

This paper cites Advances in Neural Information Processing Systems34, 20916–20928 (2021).

Training a Perceptual Model for Evaluating Auditory Similarity in Music Adversarial Attack Advances in Neural Information Processing Systems34, 20916–20928 (2021)

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:48:48.071391Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 17e9df66-b707-47f5-b25b-d2bdb3f70b0f · outbound

This paper cites In: Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (2017).

Training a Perceptual Model for Evaluating Auditory Similarity in Music Adversarial Attack In: Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (2017)

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:48:48.062096Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 684e86d2-0bdd-49fc-85a0-292b86745995 · outbound

This paper cites In: Interspeech.

Training a Perceptual Model for Evaluating Auditory Similarity in Music Adversarial Attack In: Interspeech

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:48:48.053890Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 8da86868-6b09-46a9-9415-5cf8e793b233 · outbound

This paper cites IEEE Transactions on Audio, Speech, and Language Processing14(6), 1902–1911 (2006).

Training a Perceptual Model for Evaluating Auditory Similarity in Music Adversarial Attack IEEE Transactions on Audio, Speech, and Language Processing14(6), 1902–1911 (2006)

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:48:48.043583Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 208da6e9-e8c7-4a7d-927f-f04ad2a0e23a · outbound

This paper cites an unresolved cited work.

Training a Perceptual Model for Evaluating Auditory Similarity in Music Adversarial Attack Unresolved cited work

Reference 14

Resolution: unresolved; raw_fallback, observed 2026-08-05T05:48:48.033798Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation dec0cf43-9a63-4d44-9ff7-97205576719b · outbound

This paper cites In: Proceed- ings of Interspeech (2019).

Training a Perceptual Model for Evaluating Auditory Similarity in Music Adversarial Attack In: Proceed- ings of Interspeech (2019)

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:48:48.023860Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 43b87a7b-6020-46de-be4b-bf8487301b3c · outbound

This paper cites IEEE/ACM Transactions on Audio, Speech, and Language Processing28, 2880–2894 (2020).

Training a Perceptual Model for Evaluating Auditory Similarity in Music Adversarial Attack IEEE/ACM Transactions on Audio, Speech, and Language Processing28, 2880–2894 (2020)

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:48:48.012030Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 3e291965-80a8-4978-8dbd-981f289eabac · outbound

This paper cites MERT: Acoustic Music Understanding Model with Large-Scale Self-supervised Training.

Training a Perceptual Model for Evaluating Auditory Similarity in Music Adversarial Attack MERT: Acoustic Music Understanding Model with Large-Scale Self-supervised Training

Reference 17

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Source-reported events for the cited work

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Observation 8425d8aa-2588-43e2-918b-49e7e072b561 · outbound

This paper cites In: ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Training a Perceptual Model for Evaluating Auditory Similarity in Music Adversarial Attack In: ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:48:48.001606Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation cd48869e-c5f1-4336-bcf2-34d127f4a334 · outbound

This paper cites IEEE Journal of Selected Topics in Signal Processing15(1), 120–131 (2020).

Training a Perceptual Model for Evaluating Auditory Similarity in Music Adversarial Attack IEEE Journal of Selected Topics in Signal Processing15(1), 120–131 (2020)

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:48:47.966951Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation c0e04d69-fb40-4849-b541-7f8798fcf7a3 · outbound

This paper cites In: ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Training a Perceptual Model for Evaluating Auditory Similarity in Music Adversarial Attack In: ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:48:47.829119Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation fe9a3df5-4a1a-4094-9b3a-5e63a5e4841e · outbound

This paper cites IEEE Intelligent Systems36(5), 57–68 (2020).

Training a Perceptual Model for Evaluating Auditory Similarity in Music Adversarial Attack IEEE Intelligent Systems36(5), 57–68 (2020)

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:48:47.546167Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 736b13e0-73aa-41b6-a5d4-519ad6bb6bcb · outbound

This paper cites IEEE/ACM Transactions on Audio, Speech, and Language Processing (2023) 12 Y.

Training a Perceptual Model for Evaluating Auditory Similarity in Music Adversarial Attack IEEE/ACM Transactions on Audio, Speech, and Language Processing (2023) 12 Y

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:48:47.279400Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation e3d29159-5586-4f04-87f3-4a1cb51e05c5 · outbound

This paper cites Transactions of the International Society for Music Information Retrieval4(1), 93–105 (2021).

Training a Perceptual Model for Evaluating Auditory Similarity in Music Adversarial Attack Transactions of the International Society for Music Information Retrieval4(1), 93–105 (2021)

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:48:47.100497Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation a4e1f90e-703d-41e7-995a-090e634bcb81 · outbound

This paper cites In: Interna- tional Conference on Machine Learning.

Training a Perceptual Model for Evaluating Auditory Similarity in Music Adversarial Attack In: Interna- tional Conference on Machine Learning

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:48:46.770388Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 5ea534d7-95f6-4462-9714-da81d0331c75 · outbound

This paper cites In: ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Training a Perceptual Model for Evaluating Auditory Similarity in Music Adversarial Attack In: ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:48:46.490171Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 5bd7276d-431d-46e1-9c24-7b2dc3861e78 · outbound

This paper cites In: ICASSP 2025- 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Training a Perceptual Model for Evaluating Auditory Similarity in Music Adversarial Attack In: ICASSP 2025- 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:48:46.218762Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 8bf29625-eb5a-4b2b-bc46-45610ece7f22 · outbound

This paper cites In: International Conference on Machine Learning.

Training a Perceptual Model for Evaluating Auditory Similarity in Music Adversarial Attack In: International Conference on Machine Learning

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:48:45.896066Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation a8cb6537-7da3-4146-a62a-cfecf0db136e · outbound

This paper cites Frontiers in Applied Mathematics and Statistics5, 457883 (2019).

Training a Perceptual Model for Evaluating Auditory Similarity in Music Adversarial Attack Frontiers in Applied Mathematics and Statistics5, 457883 (2019)

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:48:45.553573Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 95e3b5b8-a429-4b97-9717-924b19ceef9c · outbound

This paper cites Adversarial Attacks Against Automatic Speech Recognition Systems via Psychoacoustic Hiding.

Training a Perceptual Model for Evaluating Auditory Similarity in Music Adversarial Attack Adversarial Attacks Against Automatic Speech Recognition Systems via Psychoacoustic Hiding

Reference 29

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7012ce50-0d52-4eb6-bca1-41046fe0408a · outbound

This paper cites In: ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Training a Perceptual Model for Evaluating Auditory Similarity in Music Adversarial Attack In: ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:48:45.228027Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 46b4b9b1-19fb-429d-9f28-728daaa2d171 · outbound

This paper cites IEEE Trans- actions on speech and audio processing10(5), 293–302 (2002).

Training a Perceptual Model for Evaluating Auditory Similarity in Music Adversarial Attack IEEE Trans- actions on speech and audio processing10(5), 293–302 (2002)

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:48:44.919959Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 72462f05-271f-44f7-90c8-869de8a59b6c · outbound

This paper cites In: 2022 29th Asia-Pacific Software Engineering Conference (APSEC).

Training a Perceptual Model for Evaluating Auditory Similarity in Music Adversarial Attack In: 2022 29th Asia-Pacific Software Engineering Conference (APSEC)

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:48:44.577052Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation b4e758f7-06d3-4677-979b-572b60354bfa · outbound

This paper cites In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition.

Training a Perceptual Model for Evaluating Auditory Similarity in Music Adversarial Attack In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:48:44.240774Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Pith citing papers

No inbound Pith citation observations are available.