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Paper Citation Record · LEDGER

Two-in-One: Unified Multi-Person Interactive Motion Generation by Latent Diffusion Transformer

As of 13 August 2026, this Paper Citation Record lists 44 of 44 outbound references and 0 inbound Pith citation observations for arXiv:2412.16670.

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

pith.paper-citation-record.v1
2412.16670 v1

Coverage vector

measured 44 of 44 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T10:25:12.007539Z

measured 44 of 44 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

44 of 44 outbound references displayed

  • verified exact1
  • verified fuzzy11
  • unresolved31
  • parse uncertain0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 7444b077-e86b-4276-928e-400d95366ffa · outbound

This paper cites Intergen: Diffusion- based multi-human motion generation under complex interactions,.

Two-in-One: Unified Multi-Person Interactive Motion Generation by Latent Diffusion Transformer Intergen: Diffusion- based multi-human motion generation under complex interactions,

Reference 1

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 3693ec4b-11ba-45de-b80a-904f4f00cf16 · outbound

This paper cites Human Motion Diffusion Model.

Two-in-One: Unified Multi-Person Interactive Motion Generation by Latent Diffusion Transformer Human Motion Diffusion Model

Reference 2

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source=pdf_text observed=2026-08-11T10:25:11.852848Z digest=sha256:e46fc75529258720f5dacbf9debd8d7d4a100c506fbf8d295d01400daabd5f4d

Observation c44c3f4f-32f8-493f-ac04-a533f90a14ce · outbound

This paper cites Human Motion Diffusion as a Generative Prior.

Two-in-One: Unified Multi-Person Interactive Motion Generation by Latent Diffusion Transformer Human Motion Diffusion as a Generative Prior

Reference 3

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Observation fb410ce8-24d1-4451-b9c7-0f67b68054f1 · outbound

This paper cites InterControl: Zero-shot Human Interaction Generation by Controlling Every Joint.

Two-in-One: Unified Multi-Person Interactive Motion Generation by Latent Diffusion Transformer InterControl: Zero-shot Human Interaction Generation by Controlling Every Joint

Reference 4

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source=pdf_text observed=2026-08-11T10:25:11.861738Z digest=sha256:0c1181d3e67daa52711ad701b226bfa12bd03f3f90e1e119b234674be6d59da4

Observation 5af25614-ce10-43fa-a177-0aeeb0431e03 · outbound

This paper cites High- resolution image synthesis with latent diffusion models,.

Two-in-One: Unified Multi-Person Interactive Motion Generation by Latent Diffusion Transformer High- resolution image synthesis with latent diffusion models,

Reference 5

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source=pdf_text observed=2026-08-11T10:25:11.866276Z digest=sha256:a25761a1903e20b4f06b1d3fd5961dc0e1eb878b37520fbf9a719dc6cce31b7e

Observation 5db837ab-b43f-4c4d-9e2c-0a4562986c98 · outbound

This paper cites Diffusion models beat gans on image synthesis,.

Two-in-One: Unified Multi-Person Interactive Motion Generation by Latent Diffusion Transformer Diffusion models beat gans on image synthesis,

Reference 6

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T10:25:11.870000Z digest=sha256:afc5b3d7b04a0346a2f556b7735252f4d723a3e78aada2653c170225b0b14ba0

Observation 9d4268f9-c684-4d43-a99a-a06a9f7a2f88 · outbound

This paper cites MotionDiffuse: Text-Driven Human Motion Generation with Diffusion Model.

Two-in-One: Unified Multi-Person Interactive Motion Generation by Latent Diffusion Transformer MotionDiffuse: Text-Driven Human Motion Generation with Diffusion Model

Reference 7

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source=pdf_text observed=2026-08-11T10:25:11.874007Z digest=sha256:db930c9c368d8db01aa6434d2e96a07e06fdeb63d987c8365a7e2372188113ff

Observation 025d326c-06e8-4400-ad97-3f8eab1e3a38 · outbound

This paper cites Physdiff: Physics- guided human motion diffusion model,.

Two-in-One: Unified Multi-Person Interactive Motion Generation by Latent Diffusion Transformer Physdiff: Physics- guided human motion diffusion model,

Reference 8

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source=pdf_text observed=2026-08-11T10:25:11.877812Z digest=sha256:e4e54a2229586920628b18198609e456bd38135dd7c4d2c90a230d395bc89b87

Observation 8c7c945c-b807-4a4c-b43e-8f3c1ef14981 · outbound

This paper cites EMDM: Efficient Motion Diffusion Model for Fast and High-Quality Motion Generation.

Two-in-One: Unified Multi-Person Interactive Motion Generation by Latent Diffusion Transformer EMDM: Efficient Motion Diffusion Model for Fast and High-Quality Motion Generation

Reference 9

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source=pdf_text observed=2026-08-11T10:25:11.881358Z digest=sha256:01662e477369f4e32a489dccc5bf987cad83d88bbcc59d58a5d63b8219755056

Observation f7cbc58e-1bb3-44df-905a-3ca72efd5c65 · outbound

This paper cites Listen, denoise, action! audio-driven motion synthesis with diffusion models,.

Two-in-One: Unified Multi-Person Interactive Motion Generation by Latent Diffusion Transformer Listen, denoise, action! audio-driven motion synthesis with diffusion models,

Reference 10

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source=pdf_text observed=2026-08-11T10:25:11.885149Z digest=sha256:1de842e098f3682ba128485a26189871be9939ec277a208a9fa71c333af4ce8d

Observation a75fb548-c9a9-4a61-82a4-90f1ebac1169 · outbound

This paper cites Executing your commands via motion diffusion in latent space,.

Two-in-One: Unified Multi-Person Interactive Motion Generation by Latent Diffusion Transformer Executing your commands via motion diffusion in latent space,

Reference 11

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source=pdf_text observed=2026-08-11T10:25:11.888433Z digest=sha256:7370e46cd932deecbf92b960347fdcdfb056896a6e341de07e0d5f2c3ef3be4e

Observation c34a814d-3a6a-4921-a00d-ce259b17d422 · outbound

This paper cites Action2motion: Conditioned generation of 3d human motions,.

Two-in-One: Unified Multi-Person Interactive Motion Generation by Latent Diffusion Transformer Action2motion: Conditioned generation of 3d human motions,

Reference 12

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source=pdf_text observed=2026-08-11T10:25:11.891702Z digest=sha256:2ed45cc9614c4ccbbe625856f5486303504114116553001cae4c98a80f2056fd

Observation cc8a5b91-77a8-41ea-abf0-26ec6d3bae1c · outbound

This paper cites Action-conditioned 3d human motion synthesis with transformer vae,.

Two-in-One: Unified Multi-Person Interactive Motion Generation by Latent Diffusion Transformer Action-conditioned 3d human motion synthesis with transformer vae,

Reference 13

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verified fuzzy
raw_fallback, observed 2026-08-11T10:25:12.497181Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T10:25:11.895402Z digest=sha256:40d8036bad0a882a423216cd2e47c25edc1c1a8ab0bdb9056b4b2490a36757b1

Observation 6e2de7b4-4203-4f79-9c1b-d5a801437e9e · outbound

This paper cites Text2action: Generative adversarial synthesis from language to action,.

Two-in-One: Unified Multi-Person Interactive Motion Generation by Latent Diffusion Transformer Text2action: Generative adversarial synthesis from language to action,

Reference 14

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raw_fallback, observed 2026-08-11T10:25:12.484755Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T10:25:11.899044Z digest=sha256:23d6b73ff431092ed06751cd21f9c8a87574143916593980bb07fb35187513fd

Observation cadebe3f-9a4d-40f0-86ae-c0b8fc77b018 · outbound

This paper cites Temos: Generating diverse human motions from textual descriptions,.

Two-in-One: Unified Multi-Person Interactive Motion Generation by Latent Diffusion Transformer Temos: Generating diverse human motions from textual descriptions,

Reference 15

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Observation 682ccf81-7405-4b82-9f5b-b3f8536aff11 · outbound

This paper cites Tm2t: Stochastic and tokenized modeling for the reciprocal generation of 3d human motions and texts,.

Two-in-One: Unified Multi-Person Interactive Motion Generation by Latent Diffusion Transformer Tm2t: Stochastic and tokenized modeling for the reciprocal generation of 3d human motions and texts,

Reference 16

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raw_fallback, observed 2026-08-11T10:25:12.462006Z

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T10:25:11.906245Z digest=sha256:f2978e22ef22b650873ade2dfc6ecc78584ae7d794b6dace998e79409ee6cdd4

Observation 9123dc25-d1b8-41e2-b080-c28b478d50ee · outbound

This paper cites Generating human motion from textual descriptions with discrete representations,.

Two-in-One: Unified Multi-Person Interactive Motion Generation by Latent Diffusion Transformer Generating human motion from textual descriptions with discrete representations,

Reference 17

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T10:25:11.909546Z digest=sha256:d43f664297d04a42b21aff18d5b567089b05e728516b8e077eeb1620f2042648

Observation 335d012d-21f5-47a5-a95e-847204ee9ea0 · outbound

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

Two-in-One: Unified Multi-Person Interactive Motion Generation by Latent Diffusion Transformer Ai choreographer: Music conditioned 3d dance generation with aist++,

Reference 18

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source=pdf_text observed=2026-08-11T10:25:11.912827Z digest=sha256:d03e3f71c436b5b31e551099ac7cf4422c23cedf1462fa2ffba27cbdb24fb23d

Observation 86433db1-06a4-4235-b5ef-284c2844f484 · outbound

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

Two-in-One: Unified Multi-Person Interactive Motion Generation by Latent Diffusion Transformer Generating diverse and natural 3d human motions from text,

Reference 19

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source=pdf_text observed=2026-08-11T10:25:11.916233Z digest=sha256:9c7a9c283e162990eda81f071c94f68a650bf8a6572003f2d215b18c36e6b14a

Observation a80cf2ef-2e1d-470a-bee2-d1553616ebb3 · outbound

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

Two-in-One: Unified Multi-Person Interactive Motion Generation by Latent Diffusion Transformer Bailando: 3d dance generation by actor-critic gpt with choreographic memory,

Reference 20

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Observation de855df7-e235-4067-9396-ad2109b42c08 · outbound

This paper cites Audio2gestures: Generating diverse gestures from speech audio with conditional variational autoencoders,.

Two-in-One: Unified Multi-Person Interactive Motion Generation by Latent Diffusion Transformer Audio2gestures: Generating diverse gestures from speech audio with conditional variational autoencoders,

Reference 21

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raw_fallback, observed 2026-08-11T10:25:12.412322Z

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation dadd2525-32e2-4200-8ef3-1bc729381d4a · outbound

This paper cites Beat: A large-scale semantic and emotional multi-modal dataset for conversational gestures synthesis,.

Two-in-One: Unified Multi-Person Interactive Motion Generation by Latent Diffusion Transformer Beat: A large-scale semantic and emotional multi-modal dataset for conversational gestures synthesis,

Reference 22

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raw_fallback, observed 2026-08-11T10:25:12.399088Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T10:25:11.926397Z digest=sha256:92fbc2555ea931c745ceb22fd0a6babacc10d335822a236c7c407ea22fe1b658

Observation 482fbddf-4e39-499a-9043-8e81872926e3 · outbound

This paper cites Action-conditioned on-demand motion generation,.

Two-in-One: Unified Multi-Person Interactive Motion Generation by Latent Diffusion Transformer Action-conditioned on-demand motion generation,

Reference 23

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T10:25:11.929558Z digest=sha256:c660b0c40f70513be4d150693399dd95ccc2a63be79f9284c970dfd12919f218

Observation bf7ae7ec-7004-4173-99e2-185a3c6f55c3 · outbound

This paper cites Posegpt: Quantization-based 3d human motion generation and forecasting,.

Two-in-One: Unified Multi-Person Interactive Motion Generation by Latent Diffusion Transformer Posegpt: Quantization-based 3d human motion generation and forecasting,

Reference 24

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raw_fallback, observed 2026-08-11T10:25:12.372382Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T10:25:11.932947Z digest=sha256:5454f9dfbbce8f974592b15fcf919eaa87b281f7af45aaea100b2bd462d254ca

Observation c8f7ab19-b8ea-4179-a806-33d75b30468a · outbound

This paper cites Motionclip: Exposing human motion generation to clip space,.

Two-in-One: Unified Multi-Person Interactive Motion Generation by Latent Diffusion Transformer Motionclip: Exposing human motion generation to clip space,

Reference 25

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raw_fallback, observed 2026-08-11T10:25:12.358482Z

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T10:25:11.936385Z digest=sha256:ca4f86d918320ab0f4132032a9855c6a72368cd4ed801152ea3b655bacb0c84c

Observation 58a57b73-b239-4c57-a687-94ccb8eda6d6 · outbound

This paper cites Humantomato: Text-aligned whole-body motion generation,.

Two-in-One: Unified Multi-Person Interactive Motion Generation by Latent Diffusion Transformer Humantomato: Text-aligned whole-body motion generation,

Reference 26

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raw_fallback, observed 2026-08-11T10:25:12.345707Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T10:25:11.940031Z digest=sha256:a309aadedea859f3188f4e0265e725e768def0c135ed048cbcc3252730915e73

Observation 389f906d-334a-4fac-a47b-d2d245da0a66 · outbound

This paper cites OmniControl: Control Any Joint at Any Time for Human Motion Generation.

Two-in-One: Unified Multi-Person Interactive Motion Generation by Latent Diffusion Transformer OmniControl: Control Any Joint at Any Time for Human Motion Generation

Reference 27

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T10:25:11.948161Z digest=sha256:49aaca39f5e05bcc3a91a6fcbcbe26d73eaef666d2d3352eacde2171ab5b0341

Observation cc6d8a34-f16f-4475-b2e0-fd04fd7f38f4 · outbound

This paper cites Text2motion: from natural language instructions to feasible plans,.

Two-in-One: Unified Multi-Person Interactive Motion Generation by Latent Diffusion Transformer Text2motion: from natural language instructions to feasible plans,

Reference 28

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source=pdf_text observed=2026-08-11T10:25:11.952144Z digest=sha256:1fe38549f5f8cd4691337fe13c6bef8ec95fd3c70a5dd28e5b4bb544b3c9226f

Observation 1cceec5f-a770-4cc6-a217-37323563d0b6 · outbound

This paper cites Denoising Diffusion Probabilistic Models.

Two-in-One: Unified Multi-Person Interactive Motion Generation by Latent Diffusion Transformer Denoising Diffusion Probabilistic Models

Reference 29

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source=pdf_text observed=2026-08-11T10:25:11.955770Z digest=sha256:bc46b7d2764188743851fb6315af92a63b575232f4fa27e299fa2d278075e570

Observation 6e20a69d-97ec-4c81-be27-f1e023b3b9e0 · outbound

This paper cites Classifier-Free Diffusion Guidance.

Two-in-One: Unified Multi-Person Interactive Motion Generation by Latent Diffusion Transformer Classifier-Free Diffusion Guidance

Reference 30

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source=pdf_text observed=2026-08-11T10:25:11.959469Z digest=sha256:1ba07ad90e30ed318f9e2ddd8740efe1e8644b03048dface65d0be1c4827ba13

Observation c71ce27d-81d5-4e1a-9e38-4cf6a5d1d734 · outbound

This paper cites Scalable diffusion models with transformers,.

Two-in-One: Unified Multi-Person Interactive Motion Generation by Latent Diffusion Transformer Scalable diffusion models with transformers,

Reference 31

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raw_fallback, observed 2026-08-11T10:25:12.333320Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T10:25:11.962987Z digest=sha256:7919bc1fd75e6f9b06e6891e08f95a5f0a0791d3da8c7d340a48d09aab257cc8

Observation 7342d3c9-df8d-4624-b117-06bd8783aaa1 · outbound

This paper cites 6d rotation representation for unconstrained head pose estimation,.

Two-in-One: Unified Multi-Person Interactive Motion Generation by Latent Diffusion Transformer 6d rotation representation for unconstrained head pose estimation,

Reference 32

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T10:25:11.970364Z digest=sha256:78ab79ff9f540260e7301718ddf7bea1cec8620971885dfeb779084cc60799b7

Observation 95ba7443-7ed2-481e-8cf1-99f85ce064f0 · outbound

This paper cites Scalable Diffusion Models with Transformers.

Two-in-One: Unified Multi-Person Interactive Motion Generation by Latent Diffusion Transformer Scalable Diffusion Models with Transformers

Reference 33

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Observation 63548cd1-a47d-473e-bd4d-464adc45e615 · outbound

This paper cites Auto-Encoding Variational Bayes.

Two-in-One: Unified Multi-Person Interactive Motion Generation by Latent Diffusion Transformer Auto-Encoding Variational Bayes

Reference 34

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T10:25:11.977726Z digest=sha256:9e0db2c0a8f03b24254f05f47ff868b5ca76afa80ce885d48c5143200ea4362a

Observation 71340758-b045-4e7a-8f6e-d8265f691c79 · outbound

This paper cites DPM-Solver++: Fast Solver for Guided Sampling of Diffusion Probabilistic Models.

Two-in-One: Unified Multi-Person Interactive Motion Generation by Latent Diffusion Transformer DPM-Solver++: Fast Solver for Guided Sampling of Diffusion Probabilistic Models

Reference 35

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T10:25:11.973867Z digest=sha256:f5e5690c5b1159a3a5e7a2c1f2a8e7e5ed4f4df5499a4d0c01742a1e70857822

Observation d4a25710-ccf9-406f-8fa1-4591d33f93d5 · outbound

This paper cites FreeMotion: A Unified Framework for Number-free Text-to-Motion Synthesis.

Two-in-One: Unified Multi-Person Interactive Motion Generation by Latent Diffusion Transformer FreeMotion: A Unified Framework for Number-free Text-to-Motion Synthesis

Reference 36

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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 2026-08-13T06:32:02.005865+00:00.

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Observation 8c3c4d8d-862e-4e61-b4d6-23e70b5dc0ac · outbound

This paper cites Denoising Diffusion Implicit Models.

Two-in-One: Unified Multi-Person Interactive Motion Generation by Latent Diffusion Transformer Denoising Diffusion Implicit Models

Reference 37

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Observation bcea29d0-ed32-400d-a8a7-02abdf3b55fb · outbound

This paper cites Variational Inference with Normalizing Flows.

Two-in-One: Unified Multi-Person Interactive Motion Generation by Latent Diffusion Transformer Variational Inference with Normalizing Flows

Reference 38

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unresolved
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Observation beaff983-1896-442d-869c-18d18871ed4e · outbound

This paper cites Generative Adversarial Networks.

Two-in-One: Unified Multi-Person Interactive Motion Generation by Latent Diffusion Transformer Generative Adversarial Networks

Reference 39

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Observation 2646fd8c-41b8-4917-ac5f-2ee46118945d · outbound

This paper cites Learning Transferable Visual Models From Natural Language Supervision.

Two-in-One: Unified Multi-Person Interactive Motion Generation by Latent Diffusion Transformer Learning Transferable Visual Models From Natural Language Supervision

Reference 40

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unresolved
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Observation 29411e38-d2d7-4fef-bae1-fd485c00a744 · outbound

This paper cites U-Net: Convolutional Networks for Biomedical Image Segmentation.

Two-in-One: Unified Multi-Person Interactive Motion Generation by Latent Diffusion Transformer U-Net: Convolutional Networks for Biomedical Image Segmentation

Reference 41

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unresolved
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Observation 2f4478d2-521b-4806-9650-d9bcb9894243 · outbound

This paper cites Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer.

Two-in-One: Unified Multi-Person Interactive Motion Generation by Latent Diffusion Transformer Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer

Reference 42

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Observation fecf5dec-34e7-480f-9f4d-25eada18ea4c · outbound

This paper cites Scaling Rectified Flow Transformers for High-Resolution Image Synthesis.

Two-in-One: Unified Multi-Person Interactive Motion Generation by Latent Diffusion Transformer Scaling Rectified Flow Transformers for High-Resolution Image Synthesis

Reference 43

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unresolved
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Unavailable: canonical work link unavailable.

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Observation 49783e9f-c7bc-47b8-b84b-1d75bc646090 · outbound

This paper cites HumanTOMATO: Text-aligned Whole-body Motion Generation.

Two-in-One: Unified Multi-Person Interactive Motion Generation by Latent Diffusion Transformer HumanTOMATO: Text-aligned Whole-body Motion Generation

Reference 2023

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unresolved
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Pith citing papers

No inbound Pith citation observations are available.