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Paper Citation Record · LEDGER

Equivariant Music Transformer

As of 12 August 2026, this Paper Citation Record lists 43 of 43 outbound references and 1 inbound Pith citation observation for arXiv:2608.03920.

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

pith.paper-citation-record.v1
2608.03920 v1

Coverage vector

measured 43 of 43 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T05:49:20.969039Z

measured 44 of 44 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T05:49:20.757909Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T05:49:21.587988Z

Reference resolution

43 of 43 outbound references displayed

  • verified exact7
  • verified fuzzy25
  • unresolved9
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 5e4c95c2-6ded-4c24-b4de-932577de86af · outbound

This paper cites Equivariant Music Transformer.

Equivariant Music Transformer Equivariant Music Transformer

Reference 1

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verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 22720cf1-b337-42e0-b44d-8baa6eb9704d · outbound

This paper cites The auxiliary loss not only pro- duces music representations that align with human perception of music, but also directly improves the model’s generative capabilities.

Equivariant Music Transformer The auxiliary loss not only pro- duces music representations that align with human perception of music, but also directly improves the model’s generative capabilities

Reference 2

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation f9adbd30-d78c-4996-9356-d0c7ee7a6947 · outbound

This paper cites To the best of our knowledge, this provides the first empirical evidence that equivariance does not emerge from scaling.

Equivariant Music Transformer To the best of our knowledge, this provides the first empirical evidence that equivariance does not emerge from scaling

Reference 3

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Observation a05c296a-f0d1-44d8-b195-9d0e800a2064 · outbound

This paper cites Moreover, we confirm that EMT maintains consistent generative quality and smoothness under musically-shifted prompts, while the baseline exhibits more significant degradations.

Equivariant Music Transformer Moreover, we confirm that EMT maintains consistent generative quality and smoothness under musically-shifted prompts, while the baseline exhibits more significant degradations

Reference 4

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 321a2653-1b48-4d52-9ae5-10ef59d38135 · outbound

This paper cites an unresolved cited work.

Equivariant Music Transformer Unresolved cited work

Reference 5

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation fcb52267-b101-4b15-83c5-54d4c8055607 · outbound

This paper cites an unresolved cited work.

Equivariant Music Transformer Unresolved cited work

Reference 6

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 412a65bd-cc07-43b3-96b9-0abc4792dc0b · outbound

This paper cites For example, transposing a melody by 2 semitones should shift the output pitch distri- bution by the same amount.

Equivariant Music Transformer For example, transposing a melody by 2 semitones should shift the output pitch distri- bution by the same amount

Reference 7

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 4fb6b882-27ec-4ba6-b580-6e17ca23b11d · outbound

This paper cites The main branch to the left rep- resents a generative transformer, which is trained to au- toregressively predict the music tokenx t at the next stept.

Equivariant Music Transformer The main branch to the left rep- resents a generative transformer, which is trained to au- toregressively predict the music tokenx t at the next stept

Reference 8

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 7c24a61e-1ac3-44ff-a936-698013823b16 · outbound

This paper cites We also conduct a listening test to evaluate the robustness of symbolic music transformers under musically-shifted in- put prompts.

Equivariant Music Transformer We also conduct a listening test to evaluate the robustness of symbolic music transformers under musically-shifted in- put prompts

Reference 9

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 1d653911-8f82-43eb-8235-e00d413ef41a · outbound

This paper cites We conduct our ablation studies using the clean subset (LMD clean) due to computation constraints.

Equivariant Music Transformer We conduct our ablation studies using the clean subset (LMD clean) due to computation constraints

Reference 10

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Observation 177b657e-b782-428b-bdb5-11e5377c8566 · outbound

This paper cites Overall, models incorporating auxiliary signals (Model 3-.

Equivariant Music Transformer Overall, models incorporating auxiliary signals (Model 3-

Reference 11

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation c7abec99-14b8-4460-959e-fd3b770e354f · outbound

This paper cites This shows that explic- itly adding an equivariance regularizer not only enforces structural coherence but also directly improves the model’s generative capabilities.

Equivariant Music Transformer This shows that explic- itly adding an equivariance regularizer not only enforces structural coherence but also directly improves the model’s generative capabilities

Reference 12

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 176fc201-0233-4f05-8eb5-89e041a611e2 · outbound

This paper cites an unresolved cited work.

Equivariant Music Transformer Unresolved cited work

Reference 13

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 1372dbd6-c977-40d7-b47a-1b7343023695 · outbound

This paper cites We also used Claude Code to assist in implementing the code- base, all of which was manually verified for correctness by the first author.

Equivariant Music Transformer We also used Claude Code to assist in implementing the code- base, all of which was manually verified for correctness by the first author

Reference 14

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 10e4d1a7-483b-45d4-a342-7fac6ce7f0b6 · outbound

This paper cites QMERC20.565.DSEECS25.027).

Equivariant Music Transformer QMERC20.565.DSEECS25.027)

Reference 15

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 68283645-ceb7-438e-9c9b-336d4c09e334 · outbound

This paper cites Group equivariant convolutional networks,.

Equivariant Music Transformer Group equivariant convolutional networks,

Reference 16

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Observation 4eb65a3f-1686-455a-af6b-b6daa1a43581 · outbound

This paper cites Scale and contour: Two components of a theory of memory for melodies,.

Equivariant Music Transformer Scale and contour: Two components of a theory of memory for melodies,

Reference 17

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation dde93c84-df5c-462b-8b0f-c7ad7ea55a98 · outbound

This paper cites PESTO: real-time pitch estimation with self-supervised transposition- equivariant objective,.

Equivariant Music Transformer PESTO: real-time pitch estimation with self-supervised transposition- equivariant objective,

Reference 18

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doi, observed 2026-08-05T05:49:21.149404Z

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Observation 4eae16e7-64f1-4f3f-888e-2548f4dc9892 · outbound

This paper cites Equivariant self-supervision for musical tempo estimation,.

Equivariant Music Transformer Equivariant self-supervision for musical tempo estimation,

Reference 19

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Observation 0e4c7df0-3a5a-4642-93e0-785863f35be4 · outbound

This paper cites Adapting pitch-based self supervised learning models for tempo estimation,.

Equivariant Music Transformer Adapting pitch-based self supervised learning models for tempo estimation,

Reference 20

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation bdcfd2da-3c7b-4ffa-a8e8-8043cecc6bb7 · outbound

This paper cites A predictive model for music based on learned interval representations,.

Equivariant Music Transformer A predictive model for music based on learned interval representations,

Reference 21

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Observation 91ef99a3-a12f-4bc7-9e25-ff7c802bb65d · outbound

This paper cites STONE: self- supervised tonality estimator,.

Equivariant Music Transformer STONE: self- supervised tonality estimator,

Reference 22

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Observation 93337f28-2a37-4b64-a65d-8ff2be785cb9 · outbound

This paper cites A domain- knowledge-inspired music embedding space and a novel attention mechanism for symbolic mu- sic modeling,.

Equivariant Music Transformer A domain- knowledge-inspired music embedding space and a novel attention mechanism for symbolic mu- sic modeling,

Reference 23

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Observation aa02186a-6ab0-49f9-9426-450db80f2a6e · outbound

This paper cites On the importance of time and pitch relativity for transformer- based symbolic music generation,.

Equivariant Music Transformer On the importance of time and pitch relativity for transformer- based symbolic music generation,

Reference 24

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 04ac7717-071a-486b-bb23-4c4b3574bc45 · outbound

This paper cites Moonbeam: A MIDI Foundation Model Using Both Absolute and Relative Music Attributes.

Equivariant Music Transformer Moonbeam: A MIDI Foundation Model Using Both Absolute and Relative Music Attributes

Reference 25

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 2d995503-f0fa-4cde-a595-eb21003343be · outbound

This paper cites F-stripe: Fast structure-informed positional encoding for sym- bolic music generation,.

Equivariant Music Transformer F-stripe: Fast structure-informed positional encoding for sym- bolic music generation,

Reference 26

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 216959ff-32f8-4db2-b5b3-8f73f9351eb9 · outbound

This paper cites Music transformer: Gen- erating music with long-term structure,.

Equivariant Music Transformer Music transformer: Gen- erating music with long-term structure,

Reference 28

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Observation 3def1b90-ae3e-4399-9556-8869f96bc8f0 · outbound

This paper cites Mustango: Toward con- trollable text-to-music generation,.

Equivariant Music Transformer Mustango: Toward con- trollable text-to-music generation,

Reference 29

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Observation a70538d8-9779-4e7e-84cc-9d88772f9ad2 · outbound

This paper cites Lakhnes: Improving multi- instrumental music generation with cross-domain pre-training,.

Equivariant Music Transformer Lakhnes: Improving multi- instrumental music generation with cross-domain pre-training,

Reference 30

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation a312eeff-99ec-4169-9a5a-9b6ec0ee2379 · outbound

This paper cites Scaling self-supervised represen- tation learning for symbolic piano performance,.

Equivariant Music Transformer Scaling self-supervised represen- tation learning for symbolic piano performance,

Reference 31

Resolution
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doi, observed 2026-08-05T05:49:21.118822Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 3ebab1d5-db3b-4dc0-8d15-a9b9274b5dbe · outbound

This paper cites Anticipatory music transformer,.

Equivariant Music Transformer Anticipatory music transformer,

Reference 32

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 13dbabac-afc7-4cb0-abaf-0ccae35e839f · outbound

This paper cites Leave- one-equivariant: Alleviating invariance-related in- formation loss in contrastive music representa- tions,.

Equivariant Music Transformer Leave- one-equivariant: Alleviating invariance-related in- formation loss in contrastive music representa- tions,

Reference 33

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 2d6e7ade-1c9c-4def-9474-6aaae7465aa2 · outbound

This paper cites an unresolved cited work.

Equivariant Music Transformer Unresolved cited work

Reference 34

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T05:49:20.919837Z digest=sha256:e9820deb124a099a7141d3e605b3a3b3d68ebe52032d85cdd9bd9b6fed4be6cc

Observation bf458100-e374-451b-ac66-f9ee9364d806 · outbound

This paper cites Audio synthesizer inversion in symmetric parameter spaces with approximately equivariant flow matching,.

Equivariant Music Transformer Audio synthesizer inversion in symmetric parameter spaces with approximately equivariant flow matching,

Reference 35

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-05T05:49:20.924845Z digest=sha256:3e84e7d6275aad3a0fdb2c34c9bafbcf1b6c29944b14a27889c0efce124ea988

Observation 3a013cca-62c4-4f32-838d-457b0acc2cc2 · outbound

This paper cites Position paper: Towards a unified representation evaluation framework beyond downstream tasks,.

Equivariant Music Transformer Position paper: Towards a unified representation evaluation framework beyond downstream tasks,

Reference 36

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unresolved
no resolver link, observed 2026-08-05T05:49:20.929837Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T05:49:20.929837Z digest=sha256:840b21f1b999d0935abba3f581173919d694f27ae361ffcdc078d33cfa2562b6

Observation f9435cdf-e456-4aee-a49c-9b9708d4d2b3 · outbound

This paper cites Music102: An $D_{12}$-equivariant transformer for chord progression accompaniment.

Equivariant Music Transformer Music102: An $D_{12}$-equivariant transformer for chord progression accompaniment

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-05T05:49:20.934504Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T05:49:20.934504Z digest=sha256:cc7c1a4e79b01b351936fab86beb03055f2ac1ef167c61bbd669f7a938c7a344

Observation 6fd7e784-5afc-4d90-bb10-f2bb2cd22e56 · outbound

This paper cites Learning transposition-invariant interval features from symbolic music and audio,.

Equivariant Music Transformer Learning transposition-invariant interval features from symbolic music and audio,

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T05:49:21.674558Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-05T05:49:20.939431Z digest=sha256:d7695630ec86c77b08e4e67960d71b7a5ba2752b325746fd0a881291b30b26c2

Observation 526ae2de-b37a-44c4-a4b7-b2f20ce7b121 · outbound

This paper cites Simple and controllable music generation,.

Equivariant Music Transformer Simple and controllable music generation,

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T05:49:21.640585Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-05T05:49:20.948918Z digest=sha256:2bdef66c5f14bf3962b2173005709dd6f9763f6be431f5f7005250cb7c5954f2

Observation 3a5a771a-a76d-4fcf-b5dd-67b2c092e004 · outbound

This paper cites Time-shifted token scheduling for symbolic music generation,.

Equivariant Music Transformer Time-shifted token scheduling for symbolic music generation,

Reference 41

Resolution
verified exact
doi, observed 2026-08-05T05:49:21.100890Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-05T05:49:20.954260Z digest=sha256:54c01b305f5c125ba9e5f691274541240d8f62b65295611ffcb4087e986b52cd

Observation c6646503-c362-4e52-95c8-71a529bdf992 · outbound

This paper cites Learning-based methods for comparing se- quences, with applications to audio-to-midi alignment and matching,.

Equivariant Music Transformer Learning-based methods for comparing se- quences, with applications to audio-to-midi alignment and matching,

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T05:49:21.625612Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-05T05:49:20.958700Z digest=sha256:a4b11b1a632367430ae0d1bc078f5ff8a5dccb82c40c428b49a6de479d53825a

Observation f04c6948-bd6c-4bc0-adda-3a2c831229eb · outbound

This paper cites The Llama 3 Herd of Models.

Equivariant Music Transformer The Llama 3 Herd of Models

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-05T05:49:20.963991Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T05:49:20.963991Z digest=sha256:d564a5e078af58232d828f85c8f1c3772eebcdba7e5e890f717878d3db3beac0

Observation 664b2c9f-585a-4df3-b350-2da8620bd0f8 · outbound

This paper cites MIDI-LLM: Adapting large language models for text-to-MIDI mu- sic generation,.

Equivariant Music Transformer MIDI-LLM: Adapting large language models for text-to-MIDI mu- sic generation,

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T05:49:21.610392Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-05T05:49:20.969039Z digest=sha256:bf7d5698e210e81d9e901506504386fb1abf4f0a9e589276f5b77311c70bcfeb

Observation 9c4c4250-0d57-4887-8d25-b4b6c50f1895 · outbound

This paper cites an unresolved cited work.

Equivariant Music Transformer Unresolved cited work

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-05T05:49:20.856972Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T05:49:20.856972Z digest=sha256:a0275ecbaab1f5854268190d8d8b57bca96361a9b53b2f3f91f4808a3ec92094

Pith citing papers

Observation 5e4c95c2-6ded-4c24-b4de-932577de86af · inbound

Equivariant Music Transformer cites this paper.

Equivariant Music Transformer Equivariant Music Transformer

Reference 1

Resolution
verified exact
local_arxiv, observed 2026-08-05T05:49:21.593059Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-05T05:49:20.757909Z digest=sha256:d7d05b1113285e4b831d0960357225663ecb53bd7bca95f53cb31c2f39411649