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Paper Citation Record · LEDGER

FlowerDance: MeanFlow for Efficient and Refined 3D Dance Generation

As of 21 August 2026, this Paper Citation Record lists 52 of 52 outbound references and 8 inbound Pith citation observations for arXiv:2511.21029.

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

pith.paper-citation-record.v1
2511.21029 v3

Coverage vector

measured 52 of 52 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-03T20:15:14.295944Z

measured 60 of 60 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T15:11:01.127888Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-06-30T06:44:19.571333Z

Reference resolution

52 of 52 outbound references displayed

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External citation measurements

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Outbound references

Observation 3112f227-4e9c-4228-b14c-4dda93179a4c · outbound

This paper cites Gated Multimodal Units for Information Fusion.

FlowerDance: MeanFlow for Efficient and Refined 3D Dance Generation Gated Multimodal Units for Information Fusion

Reference 1

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source=pdf_text observed=2026-08-03T20:15:14.064902Z digest=sha256:a1d14c07fcfacf3c07539a88c270050b581ad8dc477d168af9afb1a080a73f96

Observation 5513fa6c-a4dc-4840-859c-54b752cdae57 · outbound

This paper cites Teaching choreography in higher educa- tion: A process continuum model.Research in dance educa- tion, 5(1):45–67, 2004.

FlowerDance: MeanFlow for Efficient and Refined 3D Dance Generation Teaching choreography in higher educa- tion: A process continuum model.Research in dance educa- tion, 5(1):45–67, 2004

Reference 2

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Observation af8f66a8-008d-47c9-9717-35b19661f911 · outbound

This paper cites Visual Generation Without Guidance.

FlowerDance: MeanFlow for Efficient and Refined 3D Dance Generation Visual Generation Without Guidance

Reference 3

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Observation 3ef366d5-34c2-48bb-9c40-bd9dbcc4b418 · outbound

This paper cites Gaussian Mixture Flow Matching Models.

FlowerDance: MeanFlow for Efficient and Refined 3D Dance Generation Gaussian Mixture Flow Matching Models

Reference 4

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Observation 2b45bda6-0fe6-47af-9c6e-62d1b5d2584e · outbound

This paper cites Efficient video prediction via sparsely conditioned flow matching.

FlowerDance: MeanFlow for Efficient and Refined 3D Dance Generation Efficient video prediction via sparsely conditioned flow matching

Reference 5

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Observation 9cab6dd8-cdf4-43ae-88bc-202626644ee5 · outbound

This paper cites Scaling recti- fied flow transformers for high-resolution image synthesis.

FlowerDance: MeanFlow for Efficient and Refined 3D Dance Generation Scaling recti- fied flow transformers for high-resolution image synthesis

Reference 6

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Observation 80b4118d-58aa-4ac0-948d-6ad277d746f4 · outbound

This paper cites CFG-Zero*: Improved Classifier-Free Guidance for Flow Matching Models.

FlowerDance: MeanFlow for Efficient and Refined 3D Dance Generation CFG-Zero*: Improved Classifier-Free Guidance for Flow Matching Models

Reference 7

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Observation 0ec0736c-54e9-4ce4-8ac9-4744f6077c87 · outbound

This paper cites Mambagesture: En- hancing co-speech gesture generation with mamba and dis- entangled multi-modality fusion.

FlowerDance: MeanFlow for Efficient and Refined 3D Dance Generation Mambagesture: En- hancing co-speech gesture generation with mamba and dis- entangled multi-modality fusion

Reference 8

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Observation c44af646-96c6-49bb-9afc-154122d32024 · outbound

This paper cites Mean Flows for One-step Generative Modeling.

FlowerDance: MeanFlow for Efficient and Refined 3D Dance Generation Mean Flows for One-step Generative Modeling

Reference 9

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source=pdf_text observed=2026-08-03T20:15:14.103496Z digest=sha256:0f3e0205f6a4f53dfe580dafcebc5280f8036a372821d6b867c44244b3ee2c3d

Observation ac554be1-38a0-48c6-b3f8-703552922b78 · outbound

This paper cites Mamba: Linear-Time Sequence Modeling with Selective State Spaces.

FlowerDance: MeanFlow for Efficient and Refined 3D Dance Generation Mamba: Linear-Time Sequence Modeling with Selective State Spaces

Reference 10

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Observation 6e12acc4-c785-467f-8c2e-afd32949d279 · outbound

This paper cites Efficiently Modeling Long Sequences with Structured State Spaces.

FlowerDance: MeanFlow for Efficient and Refined 3D Dance Generation Efficiently Modeling Long Sequences with Structured State Spaces

Reference 11

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Observation 161924bd-8d60-4e6e-b537-cb15c5f3ad58 · outbound

This paper cites Generating diverse and natural 3d human motions from text.

FlowerDance: MeanFlow for Efficient and Refined 3D Dance Generation Generating diverse and natural 3d human motions from text

Reference 12

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Observation a6143eb3-f2b3-4caf-a33e-e0a7f4dff6a2 · outbound

This paper cites Tm2t: Stochastic and tokenized modeling for the reciprocal genera- tion of 3d human motions and texts.

FlowerDance: MeanFlow for Efficient and Refined 3D Dance Generation Tm2t: Stochastic and tokenized modeling for the reciprocal genera- tion of 3d human motions and texts

Reference 13

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Observation 361aca3e-4536-4fad-ae95-1798439a080e · outbound

This paper cites V oiceflow: Efficient text-to-speech with rectified flow matching.

FlowerDance: MeanFlow for Efficient and Refined 3D Dance Generation V oiceflow: Efficient text-to-speech with rectified flow matching

Reference 14

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Observation 9ff41681-80cd-4dd3-bef9-73cc9dfab0c4 · outbound

This paper cites Springer, 1993.

FlowerDance: MeanFlow for Efficient and Refined 3D Dance Generation Springer, 1993

Reference 15

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Observation d1d9220c-eca4-4199-a395-7977f631a5f0 · outbound

This paper cites Neue methoden zur approximativen integration der differentialgleichungen einer unabh ¨angigen ver¨anderlichen.Z.

FlowerDance: MeanFlow for Efficient and Refined 3D Dance Generation Neue methoden zur approximativen integration der differentialgleichungen einer unabh ¨angigen ver¨anderlichen.Z

Reference 16

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Observation e61af185-3597-4dfb-9b40-d4b27c34605f · outbound

This paper cites Denoising dif- fusion probabilistic models.Advances in neural information processing systems, 33:6840–6851, 2020.

FlowerDance: MeanFlow for Efficient and Refined 3D Dance Generation Denoising dif- fusion probabilistic models.Advances in neural information processing systems, 33:6840–6851, 2020

Reference 17

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Observation 5c087cb7-b9fb-4adb-a519-f12e20402a99 · outbound

This paper cites Choreography cgan: gen- erating dances with music beats using conditional generative adversarial networks.Neural Computing and Applications, 33(16):9817–9833, 2021.

FlowerDance: MeanFlow for Efficient and Refined 3D Dance Generation Choreography cgan: gen- erating dances with music beats using conditional generative adversarial networks.Neural Computing and Applications, 33(16):9817–9833, 2021

Reference 18

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Observation cc1970b5-b54b-4f46-9da1-210619c3a783 · outbound

This paper cites Pyramidal flow matching for efficient video generative modeling.arXiv preprint arXiv:2410.05954,.

FlowerDance: MeanFlow for Efficient and Refined 3D Dance Generation Pyramidal flow matching for efficient video generative modeling.arXiv preprint arXiv:2410.05954,

Reference 19

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Observation cc64ed14-2a97-4bcd-81ab-88012a332ef5 · outbound

This paper cites Float: Generative motion latent flow matching for audio-driven talking portrait.arXiv preprint arXiv:2412.01064, 2024.

FlowerDance: MeanFlow for Efficient and Refined 3D Dance Generation Float: Generative motion latent flow matching for audio-driven talking portrait.arXiv preprint arXiv:2412.01064, 2024

Reference 20

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Observation 26e9ec3a-251c-4ef4-b9ad-6cc368957eae · outbound

This paper cites A brand new dance partner: Music- conditioned pluralistic dancing controlled by multiple dance genres.

FlowerDance: MeanFlow for Efficient and Refined 3D Dance Generation A brand new dance partner: Music- conditioned pluralistic dancing controlled by multiple dance genres

Reference 21

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Observation a5377028-89ba-4460-8de9-a51c0a64868b · outbound

This paper cites V oicebox: Text-guided multilingual universal speech generation at scale.Advances in neural information processing systems, 36:14005–14034,.

FlowerDance: MeanFlow for Efficient and Refined 3D Dance Generation V oicebox: Text-guided multilingual universal speech generation at scale.Advances in neural information processing systems, 36:14005–14034,

Reference 22

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Observation e05ee907-c5f1-4947-87f4-bdc9ec2b0381 · outbound

This paper cites Perceiving subjectiv- ity in bodily movement: The case of dancers.Phenomenol- ogy and the Cognitive Sciences, 8:389–408, 2009.

FlowerDance: MeanFlow for Efficient and Refined 3D Dance Generation Perceiving subjectiv- ity in bodily movement: The case of dancers.Phenomenol- ogy and the Cognitive Sciences, 8:389–408, 2009

Reference 23

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Observation e96c55d0-f383-4ea0-80a7-c06770768dae · outbound

This paper cites Ai choreographer: Music conditioned 3d dance generation with aist++.

FlowerDance: MeanFlow for Efficient and Refined 3D Dance Generation Ai choreographer: Music conditioned 3d dance generation with aist++

Reference 24

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Observation 2391a9df-29d4-46ce-9796-80456c240ef1 · outbound

This paper cites Finedance: A fine-grained choreography dataset for 3d full body dance generation.

FlowerDance: MeanFlow for Efficient and Refined 3D Dance Generation Finedance: A fine-grained choreography dataset for 3d full body dance generation

Reference 25

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Observation 53f9f2fc-3e98-4389-97e4-2a603af0787e · outbound

This paper cites Lodge++: High-quality and Long Dance Generation with Vivid Choreography Patterns.

FlowerDance: MeanFlow for Efficient and Refined 3D Dance Generation Lodge++: High-quality and Long Dance Generation with Vivid Choreography Patterns

Reference 26

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Observation af66eda8-177a-4760-b872-801072426a8b · outbound

This paper cites Lodge: 9 A coarse to fine diffusion network for long dance generation guided by the characteristic dance primitives.

FlowerDance: MeanFlow for Efficient and Refined 3D Dance Generation Lodge: 9 A coarse to fine diffusion network for long dance generation guided by the characteristic dance primitives

Reference 27

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Observation 886754f6-c6a9-434c-8080-eaf891275e9b · outbound

This paper cites Flow Matching for Generative Modeling.

FlowerDance: MeanFlow for Efficient and Refined 3D Dance Generation Flow Matching for Generative Modeling

Reference 28

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Observation 9416aad6-0668-4ad5-8b16-84796c1e60df · outbound

This paper cites Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow.

FlowerDance: MeanFlow for Efficient and Refined 3D Dance Generation Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow

Reference 29

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Observation 7f74c0d9-f955-46ad-b59c-92ce0aa0d360 · outbound

This paper cites GCDance: Genre-Controlled Music-Driven 3D Full Body Dance Generation.

FlowerDance: MeanFlow for Efficient and Refined 3D Dance Generation GCDance: Genre-Controlled Music-Driven 3D Full Body Dance Generation

Reference 30

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source=pdf_text observed=2026-08-03T20:15:14.203781Z digest=sha256:88fbc600824f967ad615358efd5726654e2521bc50d911541508acbaf5c7e9ef

Observation e091635f-a5de-41b4-a202-ad03c9a8a9ba · outbound

This paper cites Smpl: A skinned multi- person linear model.

FlowerDance: MeanFlow for Efficient and Refined 3D Dance Generation Smpl: A skinned multi- person linear model

Reference 31

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Observation 08d0d34e-3b60-4763-b408-b5008e820699 · outbound

This paper cites librosa: Audio and music signal analysis in python.

FlowerDance: MeanFlow for Efficient and Refined 3D Dance Generation librosa: Audio and music signal analysis in python

Reference 32

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Observation a526667f-fa3a-479f-b27e-b718e779183f · outbound

This paper cites Matcha-tts: A fast tts architecture with conditional flow matching.

FlowerDance: MeanFlow for Efficient and Refined 3D Dance Generation Matcha-tts: A fast tts architecture with conditional flow matching

Reference 33

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Observation fdb1a08f-f870-4ce5-8fe3-2a69647f6460 · outbound

This paper cites Dance studies/cultural studies.Dance Research Journal, 41(1):82–100, 2009.

FlowerDance: MeanFlow for Efficient and Refined 3D Dance Generation Dance studies/cultural studies.Dance Research Journal, 41(1):82–100, 2009

Reference 34

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Observation 63a8b399-3f64-4fe4-b2f4-c90ab00a40a7 · outbound

This paper cites Stablemotion: Training motion cleanup models with un- paired corrupted data.arXiv preprint arXiv:2505.03154, 2025.

FlowerDance: MeanFlow for Efficient and Refined 3D Dance Generation Stablemotion: Training motion cleanup models with un- paired corrupted data.arXiv preprint arXiv:2505.03154, 2025

Reference 35

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Observation 8f2902fb-6dbd-4d12-9146-b8d172c2a09e · outbound

This paper cites Film: Visual reasoning with a general conditioning layer.

FlowerDance: MeanFlow for Efficient and Refined 3D Dance Generation Film: Visual reasoning with a general conditioning layer

Reference 36

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source=pdf_text observed=2026-08-03T20:15:14.228320Z digest=sha256:8224ad048d223c10d74845b7486b169ae19bd6fcbdb1c324a1bea814282499c8

Observation 9c7994f2-b601-413b-9b55-5d5ee68d3efc · outbound

This paper cites Bailando: 3d dance generation by actor-critic gpt with choreographic memory.

FlowerDance: MeanFlow for Efficient and Refined 3D Dance Generation Bailando: 3d dance generation by actor-critic gpt with choreographic memory

Reference 37

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source=pdf_text observed=2026-08-03T20:15:14.232321Z digest=sha256:74938a7b892e370222e36bdff78fc54bd3ebb3f95bb4575577d8795f15cf4d25

Observation c470df15-df23-4258-b39d-c55b27e96bc8 · outbound

This paper cites Bailando++: 3d dance gpt with choreographic memory.IEEE Transac- tions on Pattern Analysis and Machine Intelligence, 2023.

FlowerDance: MeanFlow for Efficient and Refined 3D Dance Generation Bailando++: 3d dance gpt with choreographic memory.IEEE Transac- tions on Pattern Analysis and Machine Intelligence, 2023

Reference 38

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no resolver link, observed 2026-08-03T20:15:14.236286Z

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source=pdf_text observed=2026-08-03T20:15:14.236286Z digest=sha256:fa7bc750910d60ba528fb6f921b8ce39dee23f111cb8b72f9638c2c6c99af9c1

Observation bfeb4b6f-30b8-408d-bfc7-ed7d4e31c39e · outbound

This paper cites Duolando: Follower GPT with Off-Policy Reinforcement Learning for Dance Accompaniment.

FlowerDance: MeanFlow for Efficient and Refined 3D Dance Generation Duolando: Follower GPT with Off-Policy Reinforcement Learning for Dance Accompaniment

Reference 39

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no resolver link, observed 2026-08-03T20:15:14.240206Z

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source=pdf_text observed=2026-08-03T20:15:14.240206Z digest=sha256:d38873851139c14051ccfcccaea55992472bf3f6b5aef281af3d171e9998c7c1

Observation ffe98640-55a7-4a70-b096-fb7edd294844 · outbound

This paper cites Deep high-resolution representation learning for human pose es- timation.

FlowerDance: MeanFlow for Efficient and Refined 3D Dance Generation Deep high-resolution representation learning for human pose es- timation

Reference 40

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no resolver link, observed 2026-08-03T20:15:14.244683Z

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source=pdf_text observed=2026-08-03T20:15:14.244683Z digest=sha256:eaec60511c3939bc1100854cde714512d3685bb33c39104a2df9a69e4cf3dc32

Observation 35ffd54c-925f-4024-b907-8f221e4b834a · outbound

This paper cites Edge: Editable dance generation from music.

FlowerDance: MeanFlow for Efficient and Refined 3D Dance Generation Edge: Editable dance generation from music

Reference 41

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no resolver link, observed 2026-08-03T20:15:14.249014Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T20:15:14.249014Z digest=sha256:260d546a452fbe61fd948fc09c76c344c4d0f5502259c616ac7b96a82ad57d12

Observation 48b10042-c700-4191-a331-48be3811815e · outbound

This paper cites Attention is all you need.Advances in Neural Information Processing Systems, 2017.

FlowerDance: MeanFlow for Efficient and Refined 3D Dance Generation Attention is all you need.Advances in Neural Information Processing Systems, 2017

Reference 42

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no resolver link, observed 2026-08-03T20:15:14.253213Z

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source=pdf_text observed=2026-08-03T20:15:14.253213Z digest=sha256:fbf356cccbe571f258cdddd01a6d773024e9e3ee613180ad995950944556a8e9

Observation 54156058-05fa-4072-93ba-39b32cde10fd · outbound

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

FlowerDance: MeanFlow for Efficient and Refined 3D Dance Generation Audiobox: Unified Audio Generation with Natural Language Prompts

Reference 43

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unresolved
no resolver link, observed 2026-08-03T20:15:14.257145Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-03T20:15:14.257145Z digest=sha256:f53fd6c62cb14ab944c4dd849f97819ef8a253ae0d10b561c3633890e41d785f

Observation 2e23fd87-ee19-4152-8fc1-c3d12d55e6b5 · outbound

This paper cites Mambatalk: Ef- ficient holistic gesture synthesis with selective state space models.

FlowerDance: MeanFlow for Efficient and Refined 3D Dance Generation Mambatalk: Ef- ficient holistic gesture synthesis with selective state space models

Reference 44

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no resolver link, observed 2026-08-03T20:15:14.262099Z

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source=pdf_text observed=2026-08-03T20:15:14.262099Z digest=sha256:cf293708749de47ab4dc3a8523fc02fef984a07d9ad8e96bc08305b9ff1bfd4c

Observation 35be342b-0f5e-4f39-9cb9-939f5b3bf034 · outbound

This paper cites Codancers: Music-driven coherent group dance generation with choreographic unit.

FlowerDance: MeanFlow for Efficient and Refined 3D Dance Generation Codancers: Music-driven coherent group dance generation with choreographic unit

Reference 45

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no resolver link, observed 2026-08-03T20:15:14.266649Z

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source=pdf_text observed=2026-08-03T20:15:14.266649Z digest=sha256:24b4909033d66bdedc8dc202b6084fdf96e2920a0a7ec5bb5380b8807b79a406

Observation b2624a32-1c76-478c-8501-15e13d561ff9 · outbound

This paper cites CoheDancers: Enhancing Interactive Group Dance Generation through Music-Driven Coherence Decomposition.

FlowerDance: MeanFlow for Efficient and Refined 3D Dance Generation CoheDancers: Enhancing Interactive Group Dance Generation through Music-Driven Coherence Decomposition

Reference 46

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no resolver link, observed 2026-08-03T20:15:14.270679Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-03T20:15:14.270679Z digest=sha256:4144ec28707e2c2da319fb255e57134b55b3755d66cf11f6788d344d88586ef9

Observation 761ea1b6-d75b-4685-9a5a-3557a62cbf19 · outbound

This paper cites Beatdance: A beat-based model-agnostic contrastive learning framework for music-dance retrieval.

FlowerDance: MeanFlow for Efficient and Refined 3D Dance Generation Beatdance: A beat-based model-agnostic contrastive learning framework for music-dance retrieval

Reference 47

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unresolved
no resolver link, observed 2026-08-03T20:15:14.275593Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-03T20:15:14.275593Z digest=sha256:c75a9829255bde60897126dff6d205d06fe95309a267c9e01e2fbbcd68642d9c

Observation 3ca6d90d-5fae-4910-9346-0b4019a234f2 · outbound

This paper cites Matchdance: Collaborative mamba-transformer architecture matching for high-quality 3d dance synthesis.arXiv preprint arXiv:2505.14222, 2025.

FlowerDance: MeanFlow for Efficient and Refined 3D Dance Generation Matchdance: Collaborative mamba-transformer architecture matching for high-quality 3d dance synthesis.arXiv preprint arXiv:2505.14222, 2025

Reference 48

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no resolver link, observed 2026-08-03T20:15:14.279526Z

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source=pdf_text observed=2026-08-03T20:15:14.279526Z digest=sha256:1d3b879b9707ad9d9b629a570cdf4fc0356501c4fc04516f5d6ed799196a14e3

Observation 016c9050-d673-47ea-a80b-b6bfdca8ad0d · outbound

This paper cites Megadance: Mixture-of-experts architecture for genre-aware 3d dance generation.arXiv preprint arXiv:2505.17543, 2025.

FlowerDance: MeanFlow for Efficient and Refined 3D Dance Generation Megadance: Mixture-of-experts architecture for genre-aware 3d dance generation.arXiv preprint arXiv:2505.17543, 2025

Reference 49

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no resolver link, observed 2026-08-03T20:15:14.283384Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-03T20:15:14.283384Z digest=sha256:607309753696ddb842d9ab7f645cbb7de8b7b610d136885a32a742bb20f75ae2

Observation 3081fa97-035d-4d18-8b4c-32dac5c15eb9 · outbound

This paper cites Consistency Flow Matching: Defining Straight Flows with Velocity Consistency.

FlowerDance: MeanFlow for Efficient and Refined 3D Dance Generation Consistency Flow Matching: Defining Straight Flows with Velocity Consistency

Reference 50

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no resolver link, observed 2026-08-03T20:15:14.287243Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T20:15:14.287243Z digest=sha256:85474798bb4c6a0f9d9f2b214f5ed1699153a35ad27a347da482e0765a066492

Observation 95ff47f3-3e81-4a32-8d3d-ec6915e7afa5 · outbound

This paper cites On the continuity of rotation representations in neural networks.

FlowerDance: MeanFlow for Efficient and Refined 3D Dance Generation On the continuity of rotation representations in neural networks

Reference 51

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no resolver link, observed 2026-08-03T20:15:14.291702Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-03T20:15:14.291702Z digest=sha256:b22bb8db18f5d2f3d96cb7217ed07178bd298d3f2f2831ca1787e32bd1a6178f

Observation 26497a6e-8827-4893-9e67-6c195df9ce92 · outbound

This paper cites Music2dance: Dancenet for music-driven dance generation.ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM), 18(2):1–21, 2022.

FlowerDance: MeanFlow for Efficient and Refined 3D Dance Generation Music2dance: Dancenet for music-driven dance generation.ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM), 18(2):1–21, 2022

Reference 52

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no resolver link, observed 2026-08-03T20:15:14.295944Z

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source=pdf_text observed=2026-08-03T20:15:14.295944Z digest=sha256:ca9277d5e7d10efeb7247cf63eab50b4bc95ca0460e136d2d51af5e5c0d0485b

Pith citing papers

Observation 2d4c6a8e-a90b-407d-8f91-c03ad15b7816 · inbound

CustomDancer: Customized Dance Recommendation by Text-Dance Retrieval cites this paper.

CustomDancer: Customized Dance Recommendation by Text-Dance Retrieval FlowerDance: MeanFlow for Efficient and Refined 3D Dance Generation

Reference 31

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verified exact
arxiv_id, observed 2026-06-24T01:14:23.541109Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-09T14:51:16.918157Z digest=sha256:c9c78e32ea87302466b8dedd92ad756f3cf7f43dc3cae8c855ec316de9cca751

Observation 856b8438-8e44-48e1-a4c9-63532035e2d6 · inbound

MG-Former: A Transformer-Based Framework for Music-Driven 3D Conducting Gesture Generation cites this paper.

MG-Former: A Transformer-Based Framework for Music-Driven 3D Conducting Gesture Generation FlowerDance: MeanFlow for Efficient and Refined 3D Dance Generation

Reference 39

Resolution
verified exact
arxiv_id, observed 2026-06-24T01:14:23.541109Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-10T15:36:26.530117Z digest=sha256:533ff1220a29290e7cae9df65246bc9f66a89bd424fca383bf696dafc183ec15

Observation a5c41251-4a24-42b4-a720-68194f32b095 · inbound

Interactive Multi-Turn Retrieval for Health Videos cites this paper.

Interactive Multi-Turn Retrieval for Health Videos FlowerDance: MeanFlow for Efficient and Refined 3D Dance Generation

Reference 35

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verified exact
arxiv_id, observed 2026-06-24T01:14:23.541109Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-09T17:53:01.162961Z digest=sha256:22a2e793e73c78a825565e8e7e6e148531ffc6a95238f3460df9b6fc99b23faf

Observation 2603f9a1-619b-4513-8a7f-4cebf7e9a445 · inbound

PersonaGesture: Single-Reference Co-Speech Gesture Personalization for Unseen Speakers cites this paper.

PersonaGesture: Single-Reference Co-Speech Gesture Personalization for Unseen Speakers FlowerDance: MeanFlow for Efficient and Refined 3D Dance Generation

Reference 65

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no resolver link, observed 2026-08-02T14:46:52.300367Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-02T14:46:52.300367Z digest=sha256:3f31b452b398511542a13a897047234831cd65efeb627096845e4d9ca5021c3e

Observation ca169b81-0065-4e90-bfb5-9cd292b387c3 · inbound

DiscoForcing: A Unified Framework for Real-Time Audio-Driven Character Control with Diffusion Forcing cites this paper.

DiscoForcing: A Unified Framework for Real-Time Audio-Driven Character Control with Diffusion Forcing FlowerDance: MeanFlow for Efficient and Refined 3D Dance Generation

Reference 14

Resolution
verified exact
local_arxiv, observed 2026-06-29T13:53:28.572945Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-06-29T13:50:13.571792Z digest=sha256:2d15f92a5d4684ed00454d671967132a78ddc1d0767791d0075623952eb9930d

Observation b88d2220-8914-472e-9c46-7cf97c25f02e · inbound

OmniDance: Multimodal Driven Dance Video Generation with Large-scale Internet Data cites this paper.

OmniDance: Multimodal Driven Dance Video Generation with Large-scale Internet Data FlowerDance: MeanFlow for Efficient and Refined 3D Dance Generation

Reference 43

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metadata mismatch
local_arxiv, observed 2026-06-30T06:44:19.572992Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-06-30T06:35:58.943585Z digest=sha256:1c015c96b465741200eb2588ae67a52e074b045c9fe7c67492c103c9de1e444f

Observation d283c3f8-0dc1-4c15-aaa1-bce6bddb0bee · inbound

StreamTalk: Streaming Co-Speech Gesture Generation with Key-Pose Anchoring cites this paper.

StreamTalk: Streaming Co-Speech Gesture Generation with Key-Pose Anchoring FlowerDance: MeanFlow for Efficient and Refined 3D Dance Generation

Reference 45

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no resolver link, observed 2026-08-15T15:11:01.127888Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T15:11:01.127888Z digest=sha256:4346202194d527f66c79eb4c45e5f96cbbf4d8666da39038c6efe566cd60c844

Observation 92f19f21-0b52-4f8d-a1d6-654ca4b60e16 · inbound

CustomDance: Customized 3D Dance Generation with Coarse-to-Fine Human-Centered Interactive Control cites this paper.

CustomDance: Customized 3D Dance Generation with Coarse-to-Fine Human-Centered Interactive Control FlowerDance: MeanFlow for Efficient and Refined 3D Dance Generation

Reference 146

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no resolver link, observed 2026-08-10T21:56:38.611779Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T21:56:38.611779Z digest=sha256:7cfe52f298199c786f3314b86eb2218a4ddd1a39a5791ae9828b72525e28fe11