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Paper Citation Record · LEDGER

Auto-Regressive vs Flow-Matching: a Comparative Study of Modeling Paradigms for Text-to-Music Generation

As of 18 August 2026, this Paper Citation Record lists 36 of 36 outbound references and 1 inbound Pith citation observation for arXiv:2506.08570.

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

pith.paper-citation-record.v1
2506.08570 v3

Coverage vector

measured 36 of 36 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:12:25.051290Z

measured 37 of 37 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-22T03:24:50.604019Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-22T03:25:58.959457Z

Reference resolution

36 of 36 outbound references displayed

  • verified exact2
  • verified fuzzy10
  • unresolved23
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 0096660f-871f-4f0e-9921-735bdbe7c9b1 · outbound

This paper cites MusicLM: Generating Music From Text.

Auto-Regressive vs Flow-Matching: a Comparative Study of Modeling Paradigms for Text-to-Music Generation MusicLM: Generating Music From Text

Reference 1

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unresolved
no resolver link, observed 2026-08-07T05:12:24.497950Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:12:24.497950Z digest=sha256:103f8a734f184a209bb79a5ed32fc889c8977f48146bb0dc2fb7279150bac22e

Observation 69a424d1-a53f-4f37-ae08-1898b22aa4ec · outbound

This paper cites To better isolate the runtime overheads, we discard cross attention layers (that can’t use KV-cache) and replace the AR softmax + top-p sampling with argmax sampling.

Auto-Regressive vs Flow-Matching: a Comparative Study of Modeling Paradigms for Text-to-Music Generation To better isolate the runtime overheads, we discard cross attention layers (that can’t use KV-cache) and replace the AR softmax + top-p sampling with argmax sampling

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:12:26.383222Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T05:12:25.051290Z digest=sha256:69e48041816114669f91c99c61149066393975ede65e90a608b51db75d7a70a0

Observation cc849a7e-e830-490c-8dbf-f0b1f2038b41 · outbound

This paper cites High Fidelity Neural Audio Compression.

Auto-Regressive vs Flow-Matching: a Comparative Study of Modeling Paradigms for Text-to-Music Generation High Fidelity Neural Audio Compression

Reference 6

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no resolver link, observed 2026-08-07T05:12:24.578248Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:12:24.578248Z digest=sha256:52a2c75fb140ea3c4338feb63f3d50f0ba231e26c1067a04085e2f6415688646

Observation 370594a1-d1f5-4a9a-ac07-984436ba69ac · outbound

This paper cites Jukebox: A Generative Model for Music.

Auto-Regressive vs Flow-Matching: a Comparative Study of Modeling Paradigms for Text-to-Music Generation Jukebox: A Generative Model for Music

Reference 7

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no resolver link, observed 2026-08-07T05:12:24.591213Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:12:24.591213Z digest=sha256:063b284ee19e8ae2b09553648f33aee6e2d1bd5b97f695d834fb1e239f26857d

Observation ee8b33c5-403e-4093-ab81-1975daca5ff6 · outbound

This paper cites Deep Learning for Music.

Auto-Regressive vs Flow-Matching: a Comparative Study of Modeling Paradigms for Text-to-Music Generation Deep Learning for Music

Reference 10

Resolution
verified exact
local_arxiv, observed 2026-08-07T05:12:26.108926Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T05:12:24.628168Z digest=sha256:99357b3c662606e669bb2dccaf4ce9fccfde501dddee1228ad5fc92f734120c3

Observation e1e0b60a-add0-4290-9c89-987a37e75f8d · outbound

This paper cites Fr\'echet Audio Distance: A Metric for Evaluating Music Enhancement Algorithms.

Auto-Regressive vs Flow-Matching: a Comparative Study of Modeling Paradigms for Text-to-Music Generation Fr\'echet Audio Distance: A Metric for Evaluating Music Enhancement Algorithms

Reference 14

Resolution
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no resolver link, observed 2026-08-07T05:12:24.675049Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:12:24.675049Z digest=sha256:b7db6276de9365e71b8d60e50abf36757a06dd95fa7db2281dd5110f35c9013c

Observation 344845c2-e6e4-484d-ad1c-2d00f9e4bc5e · outbound

This paper cites High Fidelity Text-Guided Music Editing via Single-Stage Flow Matching.

Auto-Regressive vs Flow-Matching: a Comparative Study of Modeling Paradigms for Text-to-Music Generation High Fidelity Text-Guided Music Editing via Single-Stage Flow Matching

Reference 15

Resolution
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no resolver link, observed 2026-08-07T05:12:24.684386Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:12:24.684386Z digest=sha256:c6c403e1c911a518ee85411303067ab6d2a9f32dc3b2f199892148a01a285325

Observation b4c3981d-e8dc-4eef-99ac-37f248a70e58 · outbound

This paper cites A survey on cross-modal interaction between music and multimodal data.arXiv preprint arXiv:2504.12796,.

Auto-Regressive vs Flow-Matching: a Comparative Study of Modeling Paradigms for Text-to-Music Generation A survey on cross-modal interaction between music and multimodal data.arXiv preprint arXiv:2504.12796,

Reference 16

Resolution
verified exact
raw_fallback, observed 2026-08-07T05:12:25.845961Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T05:12:24.701724Z digest=sha256:2619f74fef9c7b1605798f03310761e05e9b4468fd45c63dc08168f664a47372

Observation a865798b-639b-42b2-b9ac-b4fa0f017fc4 · outbound

This paper cites Flow Matching Guide and Code.

Auto-Regressive vs Flow-Matching: a Comparative Study of Modeling Paradigms for Text-to-Music Generation Flow Matching Guide and Code

Reference 17

Resolution
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no resolver link, observed 2026-08-07T05:12:24.715076Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:12:24.715076Z digest=sha256:b4cbba158e62d1d5a1b6c7b9125728b86768a9c04212a0358e0089215cb2ba6a

Observation 747f30dd-9cd3-4e9b-9666-bfeba7dd8d19 · outbound

This paper cites DeepSeek-V3 Technical Report.

Auto-Regressive vs Flow-Matching: a Comparative Study of Modeling Paradigms for Text-to-Music Generation DeepSeek-V3 Technical Report

Reference 18

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unresolved
no resolver link, observed 2026-08-07T05:12:24.725538Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:12:24.725538Z digest=sha256:0a50e7aa2e4208b44853d8afcca5c1eb585b64288bf3546abd3ed0128d3561fc

Observation 60b6d1a4-2957-473e-ab9c-0cd06e8b607f · outbound

This paper cites Mir_eval: Atransparentimplementationofcommonmirmetrics.

Auto-Regressive vs Flow-Matching: a Comparative Study of Modeling Paradigms for Text-to-Music Generation Mir_eval: Atransparentimplementationofcommonmirmetrics

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:12:26.802705Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T05:12:24.757852Z digest=sha256:eb6bee73697093a988ad030dc4895cae142e6f39d0294fe271ebd188be57653e

Observation 52b54cc5-0bbf-4d3a-a748-68c7a2994cbb · outbound

This paper cites JamendoMaxCaps: A Large Scale Music-caption Dataset with Imputed Metadata.

Auto-Regressive vs Flow-Matching: a Comparative Study of Modeling Paradigms for Text-to-Music Generation JamendoMaxCaps: A Large Scale Music-caption Dataset with Imputed Metadata

Reference 22

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no resolver link, observed 2026-08-07T05:12:24.775106Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:12:24.775106Z digest=sha256:2bcf311dbffc30858e8d013d4fb04925af7574ed05924c3b0e74dbd4e4f9bd58

Observation e155b3ba-2f58-472d-b99e-8182c9ac2f55 · outbound

This paper cites Denoising Diffusion Implicit Models.

Auto-Regressive vs Flow-Matching: a Comparative Study of Modeling Paradigms for Text-to-Music Generation Denoising Diffusion Implicit Models

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-07T05:12:24.798822Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:12:24.798822Z digest=sha256:1724730967e2db3ad3522f29f2c03ccd1a27b9f003550895144ad2571f68aa61

Observation af9cee56-48e0-4d39-bfeb-37e3996fa753 · outbound

This paper cites Joint Audio and Symbolic Conditioning for Temporally Controlled Text-to-Music Generation.

Auto-Regressive vs Flow-Matching: a Comparative Study of Modeling Paradigms for Text-to-Music Generation Joint Audio and Symbolic Conditioning for Temporally Controlled Text-to-Music Generation

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-07T05:12:24.814309Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:12:24.814309Z digest=sha256:5106440f8698618e9909aea05a8cbd1c1f39edd0e658133a15fd7909b4bf5c8b

Observation 75b82d8c-b7c3-4758-8eaa-cfd69bf3107b · outbound

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

Auto-Regressive vs Flow-Matching: a Comparative Study of Modeling Paradigms for Text-to-Music Generation Meta Audiobox Aesthetics: Unified Automatic Quality Assessment for Speech, Music, and Sound

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-07T05:12:24.833982Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:12:24.833982Z digest=sha256:a1429c0cff8055a94ec7ada66f6778e0102bc506c87faaa519438507a5c8c597

Observation 25c4f62d-2778-41f1-879b-66735e0cfc0f · outbound

This paper cites Audiobox: Unified Audio Generation with Natural Language Prompts.

Auto-Regressive vs Flow-Matching: a Comparative Study of Modeling Paradigms for Text-to-Music Generation Audiobox: Unified Audio Generation with Natural Language Prompts

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-07T05:12:24.856067Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:12:24.856067Z digest=sha256:d859c32ec59d30dd4be3fee8a08e8c9abb006c75dc99b5b236cff429c80dae2c

Observation b743b388-2dad-45b3-bd29-672b2f5f2ae2 · outbound

This paper cites A Survey of AI Music Generation Tools and Models.

Auto-Regressive vs Flow-Matching: a Comparative Study of Modeling Paradigms for Text-to-Music Generation A Survey of AI Music Generation Tools and Models

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-07T05:12:24.890167Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:12:24.890167Z digest=sha256:f01a9aaf48ab45e015f74f5ee9451d09521329ce99726812eef8bb5a5a4c0aca

Observation fd73db9a-cc4e-4996-90eb-03eeac81a52b · outbound

This paper cites an unresolved cited work.

Auto-Regressive vs Flow-Matching: a Comparative Study of Modeling Paradigms for Text-to-Music Generation Unresolved cited work

Reference 30

Resolution
malformed identifier
raw_fallback, observed 2026-08-07T05:12:26.692444Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T05:12:24.918290Z digest=sha256:26268345c6e1c1d18d3ca6eef09f48d5e1350cf788a446dce0f86ad6b3e32d25

Observation 35b49900-877d-406a-bf71-a2e165185c05 · outbound

This paper cites an unresolved cited work.

Auto-Regressive vs Flow-Matching: a Comparative Study of Modeling Paradigms for Text-to-Music Generation Unresolved cited work

Reference 31

Resolution
unresolved
raw_fallback, observed 2026-08-07T05:12:26.643915Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T05:12:24.939938Z digest=sha256:e903fd61303a6a04eaa01e8c8caf19f14f1aeaa3b50c8c35714c0be33cc1e3a0

Observation 2d11e0b4-b15c-4bfb-8a92-e6cd1ba13de7 · outbound

This paper cites an unresolved cited work.

Auto-Regressive vs Flow-Matching: a Comparative Study of Modeling Paradigms for Text-to-Music Generation Unresolved cited work

Reference 32

Resolution
unresolved
raw_fallback, observed 2026-08-07T05:12:26.569331Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T05:12:24.955669Z digest=sha256:6b52b72a8b9cbe7eebfb22b196f3efd317a7b73b0e9975b0b5b435806ac3c563

Observation 230ad7ee-db56-41a6-a5a7-9b06867879e7 · outbound

This paper cites For the FM case we perform slight modifications similarly to Tal et al.

Auto-Regressive vs Flow-Matching: a Comparative Study of Modeling Paradigms for Text-to-Music Generation For the FM case we perform slight modifications similarly to Tal et al

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:12:26.530464Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T05:12:24.986929Z digest=sha256:543d4bdd1510108d0ddfdd2308ccd4c47bb350c7cc9716254c78e89b3fae47ec

Observation 35324411-32cd-42e8-a34a-27769c5d90fb · outbound

This paper cites an unresolved cited work.

Auto-Regressive vs Flow-Matching: a Comparative Study of Modeling Paradigms for Text-to-Music Generation Unresolved cited work

Reference 34

Resolution
unresolved
raw_fallback, observed 2026-08-07T05:12:26.479577Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T05:12:25.011025Z digest=sha256:89f6a594a0e1ac2e44b3ffe9603f08664c60862dc7f4e0ddf2806d96caa336e8

Observation ac83068b-dee0-47ce-84b0-4728fa2bd53c · outbound

This paper cites an unresolved cited work.

Auto-Regressive vs Flow-Matching: a Comparative Study of Modeling Paradigms for Text-to-Music Generation Unresolved cited work

Reference 35

Resolution
unresolved
raw_fallback, observed 2026-08-07T05:12:26.436932Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T05:12:25.036504Z digest=sha256:4e1e5ca6f23d6a6a1ba6fce3831d0db99d77bd4d08da0873bc2d2841c0108d73

Observation 8a376d8f-dff3-419e-b723-7df51cba5bc3 · outbound

This paper cites SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis.

Auto-Regressive vs Flow-Matching: a Comparative Study of Modeling Paradigms for Text-to-Music Generation SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis

Reference 1956

Resolution
unresolved
no resolver link, observed 2026-08-07T05:12:24.749224Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:12:24.749224Z digest=sha256:5660107b61b6631ce862405cc0e54fa563fa31ab943ed5c64545013057353c79

Observation 4a873016-ce04-4310-9b0b-526ff1f98f07 · outbound

This paper cites Stable audio open.

Auto-Regressive vs Flow-Matching: a Comparative Study of Modeling Paradigms for Text-to-Music Generation Stable audio open

Reference 1980

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:12:26.942927Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T05:12:24.619879Z digest=sha256:fe39e880133ec9ce9a13c7bcae55649b4eded1a171d788492a315a0f031cc491

Observation 4fbd030f-8a32-41c1-916e-4fdecd91854c · outbound

This paper cites Tunes by technology: A comprehensive survey of music generation models.

Auto-Regressive vs Flow-Matching: a Comparative Study of Modeling Paradigms for Text-to-Music Generation Tunes by technology: A comprehensive survey of music generation models

Reference 1999

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:12:26.853579Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T05:12:24.735028Z digest=sha256:6036ebe1c58d97170a20f76972873501005093443062f64d6911324d0475e055

Observation ee0fecb6-e207-444f-b1c4-9e39593473b6 · outbound

This paper cites Music Transformer.

Auto-Regressive vs Flow-Matching: a Comparative Study of Modeling Paradigms for Text-to-Music Generation Music Transformer

Reference 2016

Resolution
unresolved
no resolver link, observed 2026-08-07T05:12:24.636619Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:12:24.636619Z digest=sha256:23395a17ba73be129d383d84cfe1263fe2027e8da220d7de7f4dbb2e775e787a

Observation 0a55a77b-6190-4eab-be90-4d7ff5b80664 · outbound

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

Auto-Regressive vs Flow-Matching: a Comparative Study of Modeling Paradigms for Text-to-Music Generation The mtg-jamendo dataset for automatic music tagging

Reference 2017

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:12:27.081904Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T05:12:24.549802Z digest=sha256:c6cf31a0ce127b36b1089441bf46d9ca83b5cf29e7dfab038c3d8b2b1b8d9033

Observation 19943c2b-d312-4f37-9e10-a8caf964091b · outbound

This paper cites Multiplicity of periodic bouncing solutions for generalized impact hamiltonian systems.

Auto-Regressive vs Flow-Matching: a Comparative Study of Modeling Paradigms for Text-to-Music Generation Multiplicity of periodic bouncing solutions for generalized impact hamiltonian systems

Reference 2018

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:12:26.910768Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T05:12:24.647739Z digest=sha256:3ca9cbfac0ecb211197316f4365ee38fa1587dfc6e52e76e6ad084d8f591d6c9

Observation 2e992f79-4caa-4c9e-aa50-0cc9b025c4c8 · outbound

This paper cites Noise2Music: Text-conditioned Music Generation with Diffusion Models.

Auto-Regressive vs Flow-Matching: a Comparative Study of Modeling Paradigms for Text-to-Music Generation Noise2Music: Text-conditioned Music Generation with Diffusion Models

Reference 2019

Resolution
unresolved
no resolver link, observed 2026-08-07T05:12:24.656553Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:12:24.656553Z digest=sha256:410cdca00e8a081e793d8470161663fbf6317d6ac9d7ce600db26ec2dfdbb2c0

Observation f6cbd517-15d6-4400-a060-15b086c1985c · outbound

This paper cites Evolving four-part harmony using genetic algorithms.

Auto-Regressive vs Flow-Matching: a Comparative Study of Modeling Paradigms for Text-to-Music Generation Evolving four-part harmony using genetic algorithms

Reference 2020

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:12:26.986299Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T05:12:24.609093Z digest=sha256:a5b750b72ee347a8c3ae1773feade41b984c7468ee9d71a33121ebcb00e7d6ce

Observation 4b52ea69-ea1e-4b7e-b709-0fc7df0892dd · outbound

This paper cites Diffusion based text-to-music generation with global and local text based conditioning.

Auto-Regressive vs Flow-Matching: a Comparative Study of Modeling Paradigms for Text-to-Music Generation Diffusion based text-to-music generation with global and local text based conditioning

Reference 2021

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:12:26.749384Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T05:12:24.879929Z digest=sha256:d329b7110eef71bcd8dd5aca978892680a6fd43648eced4594cf5600e3bd482e

Observation a4bb7886-d64a-4652-8fd2-e5d75db69fcb · outbound

This paper cites Musicldm: Enhancing novelty in text-to-music generation using beat-synchronous mixup strategies.

Auto-Regressive vs Flow-Matching: a Comparative Study of Modeling Paradigms for Text-to-Music Generation Musicldm: Enhancing novelty in text-to-music generation using beat-synchronous mixup strategies

Reference 2022

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:12:27.034096Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T05:12:24.564295Z digest=sha256:f1d6466f26260e55d225d84e156bb0b9a12068e01959338e124173aaa3325a10

Observation ef892dfd-b6a2-4aa0-a236-cc5531a08de7 · outbound

This paper cites Seed-Music: A Unified Framework for High Quality and Controlled Music Generation.

Auto-Regressive vs Flow-Matching: a Comparative Study of Modeling Paradigms for Text-to-Music Generation Seed-Music: A Unified Framework for High Quality and Controlled Music Generation

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-07T05:12:24.508703Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation dbc930a7-8b00-45c3-a39e-40141b837bda · outbound

This paper cites Efficient Training of Language Models to Fill in the Middle.

Auto-Regressive vs Flow-Matching: a Comparative Study of Modeling Paradigms for Text-to-Music Generation Efficient Training of Language Models to Fill in the Middle

Reference 2024

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no resolver link, observed 2026-08-07T05:12:24.524083Z

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Observation f45e2c57-cbdf-40fa-af9d-578c1bb6b4b8 · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

Auto-Regressive vs Flow-Matching: a Comparative Study of Modeling Paradigms for Text-to-Music Generation LLaMA: Open and Efficient Foundation Language Models

Reference 2025

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Pith citing papers

Observation f4742ac3-e44c-4d1c-98b7-df88847bfe8f · inbound

Live Music Diffusion Models: Efficient Fine-Tuning and Post-Training of Interactive Diffusion Music Generators cites this paper.

Live Music Diffusion Models: Efficient Fine-Tuning and Post-Training of Interactive Diffusion Music Generators Auto-Regressive vs Flow-Matching: a Comparative Study of Modeling Paradigms for Text-to-Music Generation

Reference 26

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verified exact
arxiv_id, observed 2026-05-22T03:25:58.963026Z

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