Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-11T23:34:10.895977Z
Paper Citation Record · LEDGER
As of 13 August 2026, this Paper Citation Record lists 78 of 78 outbound references and 1 inbound Pith citation observation for arXiv:2412.02419.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-11T23:34:10.895977Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T12:16:44.323653Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-07T12:16:44.447784Z
78 of 78 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 3ca2d14f-68e6-416e-8beb-072713cd51e4 · outbound
It Takes Two: Real-time Co-Speech Two-person's Interaction Generation via Reactive Auto-regressive Diffusion Model Style transfer for co-speech gesture animation: A multi-speaker conditional-mixture approach
Reference 1
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It Takes Two: Real-time Co-Speech Two-person's Interaction Generation via Reactive Auto-regressive Diffusion Model Style-controllable speech-driven gesture synthesis using normalising flows
Reference 2
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Observation 23fa6aa1-13a1-4474-81cc-37bca8c711a9 · outbound
It Takes Two: Real-time Co-Speech Two-person's Interaction Generation via Reactive Auto-regressive Diffusion Model Listen, denoise, action! audio-driven motion synthesis with diffusion models
Reference 3
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Observation 56da8f1c-79f6-436a-be1c-d6fb598e5c18 · outbound
It Takes Two: Real-time Co-Speech Two-person's Interaction Generation via Reactive Auto-regressive Diffusion Model Rhythmic gesticulator: Rhythm-aware co-speech gesture synthesis with hierarchical neural embeddings
Reference 4
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Observation 20fae4cf-0e19-4bf7-a8e5-5b3370613036 · outbound
It Takes Two: Real-time Co-Speech Two-person's Interaction Generation via Reactive Auto-regressive Diffusion Model Gesturediffuclip: Gesture diffusion model with clip latents.ACM Transactions on Graphics (TOG), 42(4):1–18, 2023
Reference 5
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Observation 8cb414e2-3ad3-4685-80cf-eba842005ca4 · outbound
It Takes Two: Real-time Co-Speech Two-person's Interaction Generation via Reactive Auto-regressive Diffusion Model Gesturediffuclip: Gesture diffusion model with clip latents.ACM Transactions on Graphics (TOG), 42(4):1–18, 2023
Reference 6
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It Takes Two: Real-time Co-Speech Two-person's Interaction Generation via Reactive Auto-regressive Diffusion Model Speech2affectivegestures: Synthesizing co-speech ges- tures with generative adversarial affective expression learning
Reference 7
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Observation 6431bad8-6118-4472-876a-11ca2642cacd · outbound
It Takes Two: Real-time Co-Speech Two-person's Interaction Generation via Reactive Auto-regressive Diffusion Model Digital life project: Autonomous 3d characters with social intelligence
Reference 8
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Observation 7e103cd7-d7ae-428b-84aa-57f58c0f276f · outbound
It Takes Two: Real-time Co-Speech Two-person's Interaction Generation via Reactive Auto-regressive Diffusion Model Speech-gesture mismatches: Evidence for one underlying representation of linguistic and nonlinguistic information
Reference 9
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Observation cfb72b07-3375-4e42-8bd1-870df924531b · outbound
It Takes Two: Real-time Co-Speech Two-person's Interaction Generation via Reactive Auto-regressive Diffusion Model Beat: the behavior expression animation toolkit
Reference 10
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It Takes Two: Real-time Co-Speech Two-person's Interaction Generation via Reactive Auto-regressive Diffusion Model Taming diffusion probabilistic mod- els for character control
Reference 11
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Observation 02990db2-beda-4498-86b3-5acf292fe63c · outbound
It Takes Two: Real-time Co-Speech Two-person's Interaction Generation via Reactive Auto-regressive Diffusion Model Executing your commands via motion diffusion in latent space
Reference 12
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Observation 3999d157-0ad4-48c8-8792-b022fbee905e · outbound
It Takes Two: Real-time Co-Speech Two-person's Interaction Generation via Reactive Auto-regressive Diffusion Model Black, and Timo Bolkart
Reference 13
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Observation d942fe81-7f19-4eeb-8422-60fc06bfc535 · outbound
It Takes Two: Real-time Co-Speech Two-person's Interaction Generation via Reactive Auto-regressive Diffusion Model The interplay between gesture and speech in the production of referring expressions: Investigating the tradeoff hypothesis
Reference 14
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Observation 8d99c66d-a64f-4890-9654-6d40300cbef8 · outbound
It Takes Two: Real-time Co-Speech Two-person's Interaction Generation via Reactive Auto-regressive Diffusion Model Diffusion-based co-speech gesture genera- tion using joint text and audio representation
Reference 15
Source-reported events for the cited work
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Observation 3abea151-4294-4c25-b01d-f7eaf2b334c2 · outbound
It Takes Two: Real-time Co-Speech Two-person's Interaction Generation via Reactive Auto-regressive Diffusion Model BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Reference 16
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Observation d96f74c4-816d-45e0-8b73-21673e297df5 · outbound
It Takes Two: Real-time Co-Speech Two-person's Interaction Generation via Reactive Auto-regressive Diffusion Model Freemotion: A unified framework for number- free text-to-motion synthesis
Reference 17
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Observation 1a8b866c-d5e1-4e38-bcd5-f656c1de7739 · outbound
It Takes Two: Real-time Co-Speech Two-person's Interaction Generation via Reactive Auto-regressive Diffusion Model Troje, and Marc-Andr ´e Carbonneau
Reference 18
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Observation 41df565f-9d18-483f-93ee-3c04dfccf4db · outbound
It Takes Two: Real-time Co-Speech Two-person's Interaction Generation via Reactive Auto-regressive Diffusion Model Remos: 3d motion- conditioned reaction synthesis for two-person interactions
Reference 19
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It Takes Two: Real-time Co-Speech Two-person's Interaction Generation via Reactive Auto-regressive Diffusion Model Interaction mix and match: Synthesizing close interaction using condi- tional hierarchical gan with multi-hot class embedding
Reference 20
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It Takes Two: Real-time Co-Speech Two-person's Interaction Generation via Reactive Auto-regressive Diffusion Model Learning speech-driven 3d conversational gestures from video
Reference 21
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Observation 439a4759-23c4-4b32-8f36-fc848410ef8a · outbound
It Takes Two: Real-time Co-Speech Two-person's Interaction Generation via Reactive Auto-regressive Diffusion Model Evaluation of speech-to-gesture generation using bi-directional lstm network
Reference 22
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Observation 6316e41f-a6d5-4520-957f-96fb48617ede · outbound
It Takes Two: Real-time Co-Speech Two-person's Interaction Generation via Reactive Auto-regressive Diffusion Model Moglow: Probabilistic and controllable motion synthesis using normalising flows
Reference 23
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Observation 6880d816-5fdb-4531-a03d-3c4ebe8d07d4 · outbound
It Takes Two: Real-time Co-Speech Two-person's Interaction Generation via Reactive Auto-regressive Diffusion Model Denoising dif- fusion probabilistic models
Reference 24
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Observation 3d47a550-f56b-4174-abb6-ac35337d1631 · outbound
It Takes Two: Real-time Co-Speech Two-person's Interaction Generation via Reactive Auto-regressive Diffusion Model Dead blending, 2023
Reference 25
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Observation cc08d7be-1e85-419d-9115-5f77e7e8c519 · outbound
It Takes Two: Real-time Co-Speech Two-person's Interaction Generation via Reactive Auto-regressive Diffusion Model Phase- functioned neural networks for character control
Reference 26
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It Takes Two: Real-time Co-Speech Two-person's Interaction Generation via Reactive Auto-regressive Diffusion Model Example- based control of human motion
Reference 27
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Observation d1972587-0b70-413a-a0b4-cd858bc3d2e3 · outbound
It Takes Two: Real-time Co-Speech Two-person's Interaction Generation via Reactive Auto-regressive Diffusion Model Robot behavior toolkit: generating effective social behaviors for robots
Reference 28
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It Takes Two: Real-time Co-Speech Two-person's Interaction Generation via Reactive Auto-regressive Diffusion Model Interact: Capture and modelling of realistic, ex- pressive and interactive activities between two persons in daily scenarios
Reference 29
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Observation 5975b0a1-b9a4-4922-b180-6af8b50f6144 · outbound
It Takes Two: Real-time Co-Speech Two-person's Interaction Generation via Reactive Auto-regressive Diffusion Model Intermask: 3d human interaction generation via collaborative masked modelling, 2024
Reference 30
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Observation 6a1026dd-d786-468d-ba8d-5105a70365b1 · outbound
It Takes Two: Real-time Co-Speech Two-person's Interaction Generation via Reactive Auto-regressive Diffusion Model Synchronized multi-character motion editing
Reference 31
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Observation b151996e-cce2-4bae-b3c5-f427d7b187d9 · outbound
It Takes Two: Real-time Co-Speech Two-person's Interaction Generation via Reactive Auto-regressive Diffusion Model Tiling motion patches
Reference 32
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Observation f4c80f5a-1a47-4127-ae36-802a4891f356 · outbound
It Takes Two: Real-time Co-Speech Two-person's Interaction Generation via Reactive Auto-regressive Diffusion Model Towards a common framework for multimodal generation: The behavior markup language
Reference 33
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Observation 3ee368d6-8506-447a-8370-2ed9a34fc80c · outbound
It Takes Two: Real-time Co-Speech Two-person's Interaction Generation via Reactive Auto-regressive Diffusion Model Gesticulator: A framework for semantically-aware speech-driven gesture generation
Reference 34
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It Takes Two: Real-time Co-Speech Two-person's Interaction Generation via Reactive Auto-regressive Diffusion Model The genea challenge 2023: A large- scale evaluation of gesture generation models in monadic and dyadic settings
Reference 35
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It Takes Two: Real-time Co-Speech Two-person's Interaction Generation via Reactive Auto-regressive Diffusion Model Evaluating gesture generation in a large-scale open challenge: The genea challenge 2022
Reference 36
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It Takes Two: Real-time Co-Speech Two-person's Interaction Generation via Reactive Auto-regressive Diffusion Model Cross-conditioned recurrent networks for long- term synthesis of inter-person human motion interactions
Reference 37
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It Takes Two: Real-time Co-Speech Two-person's Interaction Generation via Reactive Auto-regressive Diffusion Model Two-character motion analysis and synthesis
Reference 38
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It Takes Two: Real-time Co-Speech Two-person's Interaction Generation via Reactive Auto-regressive Diffusion Model Motion patches: building blocks for virtual environments annotated with motion data
Reference 39
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It Takes Two: Real-time Co-Speech Two-person's Interaction Generation via Reactive Auto-regressive Diffusion Model Gesture controllers
Reference 40
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It Takes Two: Real-time Co-Speech Two-person's Interaction Generation via Reactive Auto-regressive Diffusion Model Audio2gestures: Generating diverse gestures from speech audio with conditional varia- tional autoencoders
Reference 41
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It Takes Two: Real-time Co-Speech Two-person's Interaction Generation via Reactive Auto-regressive Diffusion Model Ai choreographer: Music conditioned 3d dance generation with aist++
Reference 42
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It Takes Two: Real-time Co-Speech Two-person's Interaction Generation via Reactive Auto-regressive Diffusion Model Intergen: Diffusion-based multi-human motion genera- tion under complex interactions
Reference 43
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It Takes Two: Real-time Co-Speech Two-person's Interaction Generation via Reactive Auto-regressive Diffusion Model Com- position of complex optimal multi-character motions
Reference 44
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Observation ec01dcc6-bd0c-4b0d-a6d3-caf1a887e39e · outbound
It Takes Two: Real-time Co-Speech Two-person's Interaction Generation via Reactive Auto-regressive Diffusion Model BEAT: A Large-Scale Semantic and Emotional Multi-Modal Dataset for Conversational Gestures Synthesis
Reference 45
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It Takes Two: Real-time Co-Speech Two-person's Interaction Generation via Reactive Auto-regressive Diffusion Model Unresolved cited work
Reference 46
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It Takes Two: Real-time Co-Speech Two-person's Interaction Generation via Reactive Auto-regressive Diffusion Model Unresolved cited work
Reference 47
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It Takes Two: Real-time Co-Speech Two-person's Interaction Generation via Reactive Auto-regressive Diffusion Model Learning hierarchical cross-modal association for co- speech gesture generation
Reference 48
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It Takes Two: Real-time Co-Speech Two-person's Interaction Generation via Reactive Auto-regressive Diffusion Model librosa: Audio and music signal analysis in python
Reference 49
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It Takes Two: Real-time Co-Speech Two-person's Interaction Generation via Reactive Auto-regressive Diffusion Model Gan-based reactive motion synthesis with class-aware discriminators for human–human interaction
Reference 50
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It Takes Two: Real-time Co-Speech Two-person's Interaction Generation via Reactive Auto-regressive Diffusion Model Gesture modeling and animation based on a proba- bilistic re-creation of speaker style
Reference 51
Source-reported events for the cited work
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It Takes Two: Real-time Co-Speech Two-person's Interaction Generation via Reactive Auto-regressive Diffusion Model From audio to photoreal embodiment: Synthesizing humans in conversations
Reference 52
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It Takes Two: Real-time Co-Speech Two-person's Interaction Generation via Reactive Auto-regressive Diffusion Model Glide: Towards photorealis- tic image generation and editing with text-guided diffusion models
Reference 53
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It Takes Two: Real-time Co-Speech Two-person's Interaction Generation via Reactive Auto-regressive Diffusion Model A comprehensive re- view of data-driven co-speech gesture generation
Reference 54
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It Takes Two: Real-time Co-Speech Two-person's Interaction Generation via Reactive Auto-regressive Diffusion Model Librispeech: An asr corpus based on public do- main audio books
Reference 55
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It Takes Two: Real-time Co-Speech Two-person's Interaction Generation via Reactive Auto-regressive Diffusion Model Bodyformer: Semantics-guided 3d body gesture synthesis with transformer
Reference 56
Source-reported events for the cited work
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It Takes Two: Real-time Co-Speech Two-person's Interaction Generation via Reactive Auto-regressive Diffusion Model Do people use lan- guage production to make predictions during comprehen- sion? Trends in cognitive sciences , 11(3):105–110, 2007
Reference 57
Source-reported events for the cited work
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It Takes Two: Real-time Co-Speech Two-person's Interaction Generation via Reactive Auto-regressive Diffusion Model Hierarchical text-conditional image gener- ation with clip latents, 2022
Reference 58
Source-reported events for the cited work
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It Takes Two: Real-time Co-Speech Two-person's Interaction Generation via Reactive Auto-regressive Diffusion Model Human motion diffusion as a generative prior
Reference 59
Source-reported events for the cited work
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Observation f186f572-c4df-4ef5-9c3c-59cd0b75dff6 · outbound
It Takes Two: Real-time Co-Speech Two-person's Interaction Generation via Reactive Auto-regressive Diffusion Model Interaction patches for multi-character animation
Reference 60
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It Takes Two: Real-time Co-Speech Two-person's Interaction Generation via Reactive Auto-regressive Diffusion Model Duolando: Follower gpt with off-policy reinforcement learn- ing for dance accompaniment
Reference 61
Source-reported events for the cited work
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It Takes Two: Real-time Co-Speech Two-person's Interaction Generation via Reactive Auto-regressive Diffusion Model Local motion phases for learning multi-contact charac- ter movements
Reference 62
Source-reported events for the cited work
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Observation 032f199d-881a-410c-a726-83cede472aae · outbound
It Takes Two: Real-time Co-Speech Two-person's Interaction Generation via Reactive Auto-regressive Diffusion Model Local motion phases for learning multi-contact charac- ter movements
Reference 63
Source-reported events for the cited work
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Observation 1f82c318-2fb5-4e16-8299-1414a0979751 · outbound
It Takes Two: Real-time Co-Speech Two-person's Interaction Generation via Reactive Auto-regressive Diffusion Model Human motion diffu- sion model
Reference 64
Source-reported events for the cited work
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Observation 8480fd60-50da-43cc-9e08-ab52fbfc4716 · outbound
It Takes Two: Real-time Co-Speech Two-person's Interaction Generation via Reactive Auto-regressive Diffusion Model Attention is all you need
Reference 65
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It Takes Two: Real-time Co-Speech Two-person's Interaction Generation via Reactive Auto-regressive Diffusion Model Gesture and speech in interaction: An overview, 2014
Reference 66
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Reference 67
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Reference 68
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Reference 69
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Reference 70
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Reference 71
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Reference 77
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Reference 78
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Reference 6
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