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Paper Citation Record · LEDGER

EnergyMoGen: Compositional Human Motion Generation with Energy-Based Diffusion Model in Latent Space

As of 23 August 2026, this Paper Citation Record lists 81 of 81 outbound references and 5 inbound Pith citation observations for arXiv:2412.14706.

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

pith.paper-citation-record.v1
2412.14706 v2

Coverage vector

measured 81 of 81 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T12:03:40.026908Z

measured 86 of 86 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T13:02:32.115858Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

81 of 81 outbound references displayed

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External citation measurements

0
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation eb988a05-cf56-4394-8c70-b96a842bb8e7 · outbound

This paper cites Lan- guage2pose: Natural language grounded pose forecasting.

EnergyMoGen: Compositional Human Motion Generation with Energy-Based Diffusion Model in Latent Space Lan- guage2pose: Natural language grounded pose forecasting

Reference 1

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Source-reported events for the cited work

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Observation b883f46d-07bf-4876-97ba-71a498ac51e9 · outbound

This paper cites Black, and G¨ul Varol.

EnergyMoGen: Compositional Human Motion Generation with Energy-Based Diffusion Model in Latent Space Black, and G¨ul Varol

Reference 2

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation cfe01e85-b6dd-446e-8b37-15fc3d0b9fb1 · outbound

This paper cites Black, and G¨ul Varol.

EnergyMoGen: Compositional Human Motion Generation with Energy-Based Diffusion Model in Latent Space Black, and G¨ul Varol

Reference 3

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Source-reported events for the cited work

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Observation 4c43133b-ecbd-4961-b3fd-02c8fb0d23aa · outbound

This paper cites Locke: Epistemology and ontology.

EnergyMoGen: Compositional Human Motion Generation with Energy-Based Diffusion Model in Latent Space Locke: Epistemology and ontology

Reference 4

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 22cc80a5-f5c9-42be-90c1-86f2734ccdb2 · outbound

This paper cites Attribute-Centric Compositional Text-to-Image Generation.

EnergyMoGen: Compositional Human Motion Generation with Energy-Based Diffusion Model in Latent Space Attribute-Centric Compositional Text-to-Image Generation

Reference 5

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation b0f0036c-ca42-47f2-8e60-4074c899527a · outbound

This paper cites Mofusion: A frame- work for denoising-diffusion-based motion synthesis.

EnergyMoGen: Compositional Human Motion Generation with Energy-Based Diffusion Model in Latent Space Mofusion: A frame- work for denoising-diffusion-based motion synthesis

Reference 6

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 39c45852-0017-4535-97d8-91668e95ca92 · outbound

This paper cites Implicit generation and mod- eling with energy based models.

EnergyMoGen: Compositional Human Motion Generation with Energy-Based Diffusion Model in Latent Space Implicit generation and mod- eling with energy based models

Reference 7

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 87371055-22a9-450f-b84f-4d02682632dd · outbound

This paper cites Compositional visual generation with energy based models.

EnergyMoGen: Compositional Human Motion Generation with Energy-Based Diffusion Model in Latent Space Compositional visual generation with energy based models

Reference 8

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 10fa5e7c-574a-46be-a3d5-cd3757c0e6f9 · outbound

This paper cites Improved Contrastive Divergence Training of Energy Based Models.

EnergyMoGen: Compositional Human Motion Generation with Energy-Based Diffusion Model in Latent Space Improved Contrastive Divergence Training of Energy Based Models

Reference 9

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 1844504b-762b-4776-8f6a-b1c337f6602d · outbound

This paper cites Unsupervised learning of compositional en- ergy concepts.

EnergyMoGen: Compositional Human Motion Generation with Energy-Based Diffusion Model in Latent Space Unsupervised learning of compositional en- ergy concepts

Reference 10

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 7ca359e8-a509-4f22-a5c9-6852eff0d7fc · outbound

This paper cites Reduce, reuse, recycle: Compositional generation with energy-based diffusion models and mcmc.

EnergyMoGen: Compositional Human Motion Generation with Energy-Based Diffusion Model in Latent Space Reduce, reuse, recycle: Compositional generation with energy-based diffusion models and mcmc

Reference 11

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation e038eb87-e6df-4663-ad6e-20a280cac855 · outbound

This paper cites Training- free structured diffusion guidance for compositional text-to- image synthesis.

EnergyMoGen: Compositional Human Motion Generation with Energy-Based Diffusion Model in Latent Space Training- free structured diffusion guidance for compositional text-to- image synthesis

Reference 12

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 2ecaf3fb-0c01-4640-9b6a-2516296cd19a · outbound

This paper cites Guess gradually enrich- ing synthesis for text-driven human motion generation.

EnergyMoGen: Compositional Human Motion Generation with Energy-Based Diffusion Model in Latent Space Guess gradually enrich- ing synthesis for text-driven human motion generation

Reference 13

Resolution
verified fuzzy
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Source-reported events for the cited work

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Observation f12a5b22-5dfc-451c-a926-20419284a60b · outbound

This paper cites Guess: Gradually en- riching synthesis for text-driven human motion generation.

EnergyMoGen: Compositional Human Motion Generation with Energy-Based Diffusion Model in Latent Space Guess: Gradually en- riching synthesis for text-driven human motion generation

Reference 14

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 1cad033c-1434-4174-9fc8-4d0918aef1f0 · outbound

This paper cites Compositional sculpt- ing of iterative generative processes.

EnergyMoGen: Compositional Human Motion Generation with Energy-Based Diffusion Model in Latent Space Compositional sculpt- ing of iterative generative processes

Reference 15

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation ca847f59-97d9-4d2d-a6b5-9a4e56258cae · outbound

This paper cites Synthesis of compositional animations from textual descriptions.

EnergyMoGen: Compositional Human Motion Generation with Energy-Based Diffusion Model in Latent Space Synthesis of compositional animations from textual descriptions

Reference 16

Resolution
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Source-reported events for the cited work

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Observation 3fd26d14-d2e4-4854-94eb-3f9b11147050 · outbound

This paper cites Iterative motion editing with natural language.

EnergyMoGen: Compositional Human Motion Generation with Energy-Based Diffusion Model in Latent Space Iterative motion editing with natural language

Reference 17

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 76a2bf14-3538-4b6b-b851-ac3d1d1a48bf · outbound

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

EnergyMoGen: Compositional Human Motion Generation with Energy-Based Diffusion Model in Latent Space Mamba: Linear-Time Sequence Modeling with Selective State Spaces

Reference 18

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Source-reported events for the cited work

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Observation 2cbc2fe9-7270-416d-9a54-3c63f253c925 · outbound

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

EnergyMoGen: Compositional Human Motion Generation with Energy-Based Diffusion Model in Latent Space Generating diverse and natural 3d human motions from text

Reference 19

Resolution
verified fuzzy
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Source-reported events for the cited work

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Observation c735a9bb-5109-45b5-9b84-1d2b9b52ee21 · outbound

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

EnergyMoGen: Compositional Human Motion Generation with Energy-Based Diffusion Model in Latent Space Tm2t: Stochastic and tokenized modeling for the reciprocal gener- ation of 3d human motions and texts

Reference 20

Resolution
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Source-reported events for the cited work

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Observation ab7f45be-718f-4dff-a1a5-3344c107e1b6 · outbound

This paper cites Momask: Generative masked model- ing of 3d human motions.

EnergyMoGen: Compositional Human Motion Generation with Energy-Based Diffusion Model in Latent Space Momask: Generative masked model- ing of 3d human motions

Reference 21

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Source-reported events for the cited work

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Observation 2b1ce712-b273-4c2e-93db-13bfe466e998 · outbound

This paper cites Amd: Autoregressive motion diffusion.

EnergyMoGen: Compositional Human Motion Generation with Energy-Based Diffusion Model in Latent Space Amd: Autoregressive motion diffusion

Reference 22

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Source-reported events for the cited work

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Observation 9a96bd73-a1ec-4fd0-97f9-5d199e205766 · outbound

This paper cites Classifier-Free Diffusion Guidance.

EnergyMoGen: Compositional Human Motion Generation with Energy-Based Diffusion Model in Latent Space Classifier-Free Diffusion Guidance

Reference 23

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Source-reported events for the cited work

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Observation 724a32ad-79e4-4c9f-a6cd-0a6d037f9b02 · outbound

This paper cites Denoising dif- fusion probabilistic models.

EnergyMoGen: Compositional Human Motion Generation with Energy-Based Diffusion Model in Latent Space Denoising dif- fusion probabilistic models

Reference 24

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Observation e015d2bd-7251-433a-822a-d119ff42e349 · outbound

This paper cites Energy transformer.

EnergyMoGen: Compositional Human Motion Generation with Energy-Based Diffusion Model in Latent Space Energy transformer

Reference 25

Resolution
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Source-reported events for the cited work

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Observation c46f160d-7bff-4a3a-b034-ae90daf5e412 · outbound

This paper cites Provably Optimal Memory Capacity for Modern Hopfield Models: Transformer-Compatible Dense Associative Memories as Spherical Codes.

EnergyMoGen: Compositional Human Motion Generation with Energy-Based Diffusion Model in Latent Space Provably Optimal Memory Capacity for Modern Hopfield Models: Transformer-Compatible Dense Associative Memories as Spherical Codes

Reference 26

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Source-reported events for the cited work

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Observation baa5d664-bc3e-4edb-a932-e18dd497ea23 · outbound

This paper cites On statistical rates and provably efficient criteria of latent diffusion transformers (dits).

EnergyMoGen: Compositional Human Motion Generation with Energy-Based Diffusion Model in Latent Space On statistical rates and provably efficient criteria of latent diffusion transformers (dits)

Reference 27

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 40b54622-fc64-4391-a05b-97b00c2f8367 · outbound

This paper cites Composer: Creative and Controllable Image Synthesis with Composable Conditions.

EnergyMoGen: Compositional Human Motion Generation with Energy-Based Diffusion Model in Latent Space Composer: Creative and Controllable Image Synthesis with Composable Conditions

Reference 28

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Source-reported events for the cited work

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Observation 0fc48ee9-b163-48d4-9754-c58e4c32610f · outbound

This paper cites Estimation of non- normalized statistical models by score matching.

EnergyMoGen: Compositional Human Motion Generation with Energy-Based Diffusion Model in Latent Space Estimation of non- normalized statistical models by score matching

Reference 29

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 4e845196-0601-4062-8955-0f6a6eac30ed · outbound

This paper cites Motiongpt: Human motion as a foreign language.

EnergyMoGen: Compositional Human Motion Generation with Energy-Based Diffusion Model in Latent Space Motiongpt: Human motion as a foreign language

Reference 30

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Observation d5fa13b4-57eb-4056-9716-21271e9d2bf8 · outbound

This paper cites Act as you wish: Fine-grained control of mo- tion diffusion model with hierarchical semantic graphs.

EnergyMoGen: Compositional Human Motion Generation with Energy-Based Diffusion Model in Latent Space Act as you wish: Fine-grained control of mo- tion diffusion model with hierarchical semantic graphs

Reference 31

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 6a8322ca-5b21-4b89-b3e2-cc4d40ff46a5 · outbound

This paper cites Guided motion diffusion for controllable human motion synthesis.

EnergyMoGen: Compositional Human Motion Generation with Energy-Based Diffusion Model in Latent Space Guided motion diffusion for controllable human motion synthesis

Reference 32

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 5b3c1a55-3f82-483b-b948-5a9b28ee4898 · outbound

This paper cites Guided motion diffusion for controllable human motion synthesis.

EnergyMoGen: Compositional Human Motion Generation with Energy-Based Diffusion Model in Latent Space Guided motion diffusion for controllable human motion synthesis

Reference 33

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 6d369a68-db92-493f-b41d-4262f42df057 · outbound

This paper cites Auto-encoding varia- tional bayes.

EnergyMoGen: Compositional Human Motion Generation with Energy-Based Diffusion Model in Latent Space Auto-encoding varia- tional bayes

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:03:41.019877Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-11T12:03:39.774449Z digest=sha256:c0c4dc78c06a738c971fda73c93b7ceec2df93f59ead93c553bd28a0070194e2

Observation 8427370e-744f-45bb-9787-3c1210a51413 · outbound

This paper cites Priority-centric human motion genera- tion in discrete latent space.

EnergyMoGen: Compositional Human Motion Generation with Energy-Based Diffusion Model in Latent Space Priority-centric human motion genera- tion in discrete latent space

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:03:41.001774Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-11T12:03:39.780342Z digest=sha256:0858be4c8336fa1ed6ed087c8cc74cea36bb6a8ff57fbfa7d5cd0dc2cb39d9b3

Observation cad9132d-093b-4f69-83e6-6f6abb9bf6dc · outbound

This paper cites A tutorial on energy-based learning.Predicting structured data, 2006.

EnergyMoGen: Compositional Human Motion Generation with Energy-Based Diffusion Model in Latent Space A tutorial on energy-based learning.Predicting structured data, 2006

Reference 36

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-11T12:03:39.786609Z digest=sha256:86b8f805c6797a86f40743e630dbfe554f9f4420b01f5e2291cbf75dd1120d8d

Observation 58a8daea-37c4-4b10-a0bf-96addc529762 · outbound

This paper cites Stylet2i: Toward compositional and high-fidelity text- to-image synthesis.

EnergyMoGen: Compositional Human Motion Generation with Energy-Based Diffusion Model in Latent Space Stylet2i: Toward compositional and high-fidelity text- to-image synthesis

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:03:40.965166Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-11T12:03:39.792801Z digest=sha256:f706e73f5942543a5f540909669d5d80950d6683d2324714db5d55b1296d0582

Observation fafc0162-c7ae-4de9-9c08-87212844d387 · outbound

This paper cites Spatio-temporal graph diffusion for text-driven human motion generation.

EnergyMoGen: Compositional Human Motion Generation with Energy-Based Diffusion Model in Latent Space Spatio-temporal graph diffusion for text-driven human motion generation

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:03:40.948027Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-11T12:03:39.798047Z digest=sha256:4f767fce4fc5a18d6f41e6e173537933e361e6ce2eb79a06d91adc8e5447b2b2

Observation b997bc18-1e0a-465d-a97a-190d68aee6dc · outbound

This paper cites Learning to compose visual relations.

EnergyMoGen: Compositional Human Motion Generation with Energy-Based Diffusion Model in Latent Space Learning to compose visual relations

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:03:40.929603Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-11T12:03:39.802836Z digest=sha256:8528696caa081bdbaefc76985ed13bfc9da49f1cb1696b76c324b283b60eef55

Observation 792c0105-f3ff-43e7-b73a-5b3007293d9a · outbound

This paper cites Compositional visual generation with composable diffusion models.

EnergyMoGen: Compositional Human Motion Generation with Energy-Based Diffusion Model in Latent Space Compositional visual generation with composable diffusion models

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:03:40.911829Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-11T12:03:39.808149Z digest=sha256:8f995824632b9ef94f7a6b8d86784e8adc79fe81b85d0bcce55a9cd37fd5b255

Observation 12c91651-5813-4d4e-bb87-d515b2499f1b · outbound

This paper cites Vision-language nav- igation with energy-based policy.

EnergyMoGen: Compositional Human Motion Generation with Energy-Based Diffusion Model in Latent Space Vision-language nav- igation with energy-based policy

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:03:40.893956Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-11T12:03:39.812973Z digest=sha256:fa910b9e1d754455d5acde5692f239bd2be92c1ccac3b04a2dfad4aac9cb5854

Observation c6de2789-7cac-4254-bca4-6ad0feb092b9 · outbound

This paper cites DiverseMotion: Towards Diverse Human Motion Generation via Discrete Diffusion.

EnergyMoGen: Compositional Human Motion Generation with Energy-Based Diffusion Model in Latent Space DiverseMotion: Towards Diverse Human Motion Generation via Discrete Diffusion

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-11T12:03:39.817934Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T12:03:39.817934Z digest=sha256:9a8399852e6ccfdbcfc37f36c1630a0a06833f89e073d5f5f34cf153045022ec

Observation d85237b7-8fcd-4233-a4cf-2fedf91a4283 · outbound

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

EnergyMoGen: Compositional Human Motion Generation with Energy-Based Diffusion Model in Latent Space HumanTOMATO: Text-aligned Whole-body Motion Generation

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-11T12:03:39.823633Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T12:03:39.823633Z digest=sha256:ede3d2d7e866e7b45febe68131131da7c038f240e19ed216c2c12dea512bebca

Observation 777ac5a6-3684-477f-92ca-60e9f0884128 · outbound

This paper cites Amass: Archive of motion capture as surface shapes.

EnergyMoGen: Compositional Human Motion Generation with Energy-Based Diffusion Model in Latent Space Amass: Archive of motion capture as surface shapes

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:03:40.877353Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-11T12:03:39.829170Z digest=sha256:16d9363c72bafc8bff55ea0f5b809f9c94855af4b097777c0958aebb503fe6bc

Observation 7552afaa-510b-4549-aea9-0161bb666ecd · outbound

This paper cites Control- lable and compositional generation with latent-space energy- based models.

EnergyMoGen: Compositional Human Motion Generation with Energy-Based Diffusion Model in Latent Space Control- lable and compositional generation with latent-space energy- based models

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:03:40.861210Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-11T12:03:39.834461Z digest=sha256:ad3a1eb99d4a41855aa0bc1eb5c5e4bd7cf44355a00d2d52c3616bb3e92c844b

Observation ed96e79f-a1c2-4ad7-a14f-7656d3685fe9 · outbound

This paper cites Energy-based cross attention for bayesian context update in text-to-image diffusion mod- els.

EnergyMoGen: Compositional Human Motion Generation with Energy-Based Diffusion Model in Latent Space Energy-based cross attention for bayesian context update in text-to-image diffusion mod- els

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:03:40.843596Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-11T12:03:39.839771Z digest=sha256:aba4ee5972144aad269502f478b5a830fc6f7c046cdc839aa67d046839109116

Observation 107d8c63-dad6-4a31-ae1b-6d3042b26fb6 · outbound

This paper cites Black, and G ¨ul Varol.

EnergyMoGen: Compositional Human Motion Generation with Energy-Based Diffusion Model in Latent Space Black, and G ¨ul Varol

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:03:40.825522Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-11T12:03:39.845465Z digest=sha256:e0ac81ecffcb793fb3f4746a102a72edb097d695723f8a0c13946affe5229ca4

Observation af0b2084-dfb1-421b-9303-e8e56cb777ef · outbound

This paper cites Black, and Gul Varol.

EnergyMoGen: Compositional Human Motion Generation with Energy-Based Diffusion Model in Latent Space Black, and Gul Varol

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:03:40.808414Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-11T12:03:39.851465Z digest=sha256:74f7e63ed10abe4dc6db7f0c4f60ee87e13195278fd823eb74a547e304df6771

Observation bec95887-407e-4439-8b14-a4353ea54bd2 · outbound

This paper cites Tmr: Text-to-motion retrieval using contrastive 3d human motion synthesis.

EnergyMoGen: Compositional Human Motion Generation with Energy-Based Diffusion Model in Latent Space Tmr: Text-to-motion retrieval using contrastive 3d human motion synthesis

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:03:40.790179Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-11T12:03:39.857642Z digest=sha256:d3e86f1c09f5467ede54bacd383190b1c8e4560dfbe204011c2ffa7a8c03f5ab

Observation 789bf78d-d7aa-41ba-a42a-c050da0fb6d9 · outbound

This paper cites Black, G¨ul Varol, Xue Bin Peng, and Davis Rempe.

EnergyMoGen: Compositional Human Motion Generation with Energy-Based Diffusion Model in Latent Space Black, G¨ul Varol, Xue Bin Peng, and Davis Rempe

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:03:40.770907Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-11T12:03:39.863096Z digest=sha256:d18b84fde781cf9418006252f13017c696ff6ce737e264e0f0ed8baae8794d16

Observation 9b92996e-c1e5-4a05-8025-89c82caba30b · outbound

This paper cites Mmm: Generative masked motion model.

EnergyMoGen: Compositional Human Motion Generation with Energy-Based Diffusion Model in Latent Space Mmm: Generative masked motion model

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:03:40.752945Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-11T12:03:39.868353Z digest=sha256:84f646c829edfefa770137a1e2d62f09a7f6a13fcb75db4482f83079b7481ac9

Observation e326ffee-7615-45f7-b960-6b563aed7cc5 · outbound

This paper cites The kit motion-language dataset.

EnergyMoGen: Compositional Human Motion Generation with Energy-Based Diffusion Model in Latent Space The kit motion-language dataset

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:03:40.735895Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-11T12:03:39.873754Z digest=sha256:b6f774b279f3143a5c3706b3e5dae0336cdef945ef39e8cc79bd878a4371406d

Observation 4b5be95c-94a6-467a-978e-7a36d9d46d8d · outbound

This paper cites Hopfield Networks is All You Need.

EnergyMoGen: Compositional Human Motion Generation with Energy-Based Diffusion Model in Latent Space Hopfield Networks is All You Need

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-11T12:03:39.879308Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T12:03:39.879308Z digest=sha256:dbb94996a6b8c3b354b624c4b5b3c8cce9d9328c89a64576d4e20d68bfff6af0

Observation 11b423d2-62d3-4060-9b57-c1caccd7b8b5 · outbound

This paper cites Realistic Human Motion Generation with Cross-Diffusion Models.

EnergyMoGen: Compositional Human Motion Generation with Energy-Based Diffusion Model in Latent Space Realistic Human Motion Generation with Cross-Diffusion Models

Reference 54

Resolution
verified exact
local_arxiv, observed 2026-08-11T12:03:40.137768Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-11T12:03:39.885608Z digest=sha256:1992abcc86490a915919768572bd1aa08e2506a443c84af42d831e26b4e3187a

Observation 2ced559b-30ed-4e46-874f-4f24dc44e98b · outbound

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

EnergyMoGen: Compositional Human Motion Generation with Energy-Based Diffusion Model in Latent Space High-resolution image synthesis with latent diffusion models

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:03:40.718146Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-11T12:03:39.891287Z digest=sha256:7b042fb7972beff75a1f2ae4f0c3a5552a72381432c759938a27444c65cd7896

Observation ef6b318d-0265-484b-92a5-8d06540b1ed9 · outbound

This paper cites Human motion diffusion as a generative prior.

EnergyMoGen: Compositional Human Motion Generation with Energy-Based Diffusion Model in Latent Space Human motion diffusion as a generative prior

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:03:40.702097Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-11T12:03:39.897148Z digest=sha256:7077a65f5d9177b038b1867c3bd96b8ed6c79b6dc77ca86bfacb8f71f8ff1928

Observation 174cbbb8-b7eb-4f0a-b195-8c78acc37cb7 · outbound

This paper cites Exploring compositional visual generation with latent classifier guidance.

EnergyMoGen: Compositional Human Motion Generation with Energy-Based Diffusion Model in Latent Space Exploring compositional visual generation with latent classifier guidance

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:03:40.685417Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-11T12:03:39.902271Z digest=sha256:70b4a6e34ad93c31f9018b0c46a4769a9d49d372c6ae315a5f853871e69b8655

Observation 55f96e4f-ac13-4d88-a9ca-7bd9e7dfa599 · outbound

This paper cites Deep unsupervised learning using nonequilibrium thermodynamics.

EnergyMoGen: Compositional Human Motion Generation with Energy-Based Diffusion Model in Latent Space Deep unsupervised learning using nonequilibrium thermodynamics

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:03:40.667169Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-11T12:03:39.908272Z digest=sha256:966f88d2ee98d270d3c646aeed00c8f5cebb6ce2fe78cca286566bd4278c0a63

Observation 009b8a0c-ddba-4944-8c5e-a39969f9f095 · outbound

This paper cites Score-Based Generative Modeling through Stochastic Differential Equations.

EnergyMoGen: Compositional Human Motion Generation with Energy-Based Diffusion Model in Latent Space Score-Based Generative Modeling through Stochastic Differential Equations

Reference 59

Resolution
unresolved
no resolver link, observed 2026-08-11T12:03:39.913736Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T12:03:39.913736Z digest=sha256:71da03d190688f441e31df9a9cd897ebd803aa50b98e94c1f05a415b24291a18

Observation eef54809-01ea-4816-8d9b-4d164d5b7cbd · outbound

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

EnergyMoGen: Compositional Human Motion Generation with Energy-Based Diffusion Model in Latent Space Motionclip: Exposing human motion generation to clip space

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:03:40.649668Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-11T12:03:39.919145Z digest=sha256:3a326cb680148570e37a374f48d91c508a9c520c57a458fcc325358a6e4e4100

Observation 304b108c-de11-40de-b462-d97c6fd0be0e · outbound

This paper cites Human motion dif- fusion model.

EnergyMoGen: Compositional Human Motion Generation with Energy-Based Diffusion Model in Latent Space Human motion dif- fusion model

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:03:40.631444Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-11T12:03:39.924219Z digest=sha256:b904b8733f2b4053a001ca2fbf873bfa9c30846ed5eff88a38ee0e805216598e

Observation 9e749738-864b-451f-a486-dca34bc451d1 · outbound

This paper cites EDGE: Editable Dance Generation From Music.

EnergyMoGen: Compositional Human Motion Generation with Energy-Based Diffusion Model in Latent Space EDGE: Editable Dance Generation From Music

Reference 62

Resolution
unresolved
no resolver link, observed 2026-08-11T12:03:39.929114Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T12:03:39.929114Z digest=sha256:795af0cd6f7661cc41a06a0f03ccc80b56456570cd7b7f3de61251f32e24d2a9

Observation 1a82f6fd-9e21-4069-85b5-0462cc34643d · outbound

This paper cites Attention is all you need.

EnergyMoGen: Compositional Human Motion Generation with Energy-Based Diffusion Model in Latent Space Attention is all you need

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:03:40.613957Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-11T12:03:39.934194Z digest=sha256:0adc6fd49eeb8b25831d4e1a164190d8f57672ea276a01e0f5bfffddfaa1643b

Observation f2fa0dd1-11cc-45cb-91e0-3917391e8234 · outbound

This paper cites Fg-t2m: Fine-grained text-driven human motion generation via diffusion model.

EnergyMoGen: Compositional Human Motion Generation with Energy-Based Diffusion Model in Latent Space Fg-t2m: Fine-grained text-driven human motion generation via diffusion model

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:03:40.596590Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-11T12:03:39.938972Z digest=sha256:6567310660c76e19238a215c27be231d6ecc1f4a450faa418223baec97e760c0

Observation 513ddd89-f985-4638-9195-3c4478aa54f8 · outbound

This paper cites Bayesian learning via stochas- tic gradient langevin dynamics.

EnergyMoGen: Compositional Human Motion Generation with Energy-Based Diffusion Model in Latent Space Bayesian learning via stochas- tic gradient langevin dynamics

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:03:40.579999Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-11T12:03:39.943765Z digest=sha256:229b6ca53b7432a4fd020a79108143a6093ae5bab4d32d2cf7aaad363f312b1c

Observation 50a49298-60f4-4889-8a57-31ebe20beacb · outbound

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

EnergyMoGen: Compositional Human Motion Generation with Energy-Based Diffusion Model in Latent Space OmniControl: Control Any Joint at Any Time for Human Motion Generation

Reference 66

Resolution
unresolved
no resolver link, observed 2026-08-11T12:03:39.948754Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T12:03:39.948754Z digest=sha256:1d4d709b457fd74b9252dcd426cb211379f56b05c974839adc92cae8b1327952

Observation df4243b2-d542-422d-bd62-2b155df03196 · outbound

This paper cites Towards detailed text-to- motion synthesis via basic-to-advanced hierarchical diffu- sion model.

EnergyMoGen: Compositional Human Motion Generation with Energy-Based Diffusion Model in Latent Space Towards detailed text-to- motion synthesis via basic-to-advanced hierarchical diffu- sion model

Reference 67

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:03:40.561807Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-11T12:03:39.954018Z digest=sha256:b46dd9ce61a7ccda5931ba4f6336860b366053fcaef0a3415d6b7ad532c23fb5

Observation 5ce96436-79a9-4ece-88b0-bbbd3d5c48f3 · outbound

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

EnergyMoGen: Compositional Human Motion Generation with Energy-Based Diffusion Model in Latent Space Executing your commands via motion diffusion in latent space

Reference 68

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:03:40.543888Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-11T12:03:39.958970Z digest=sha256:095e95d89d0a461c16a9b6ff365282b79dfd4f6325feef558c8268da6c617cf7

Observation d94a2492-d132-42ff-88f6-141dbc324998 · outbound

This paper cites Synthesizing long- term human motions with diffusion models via coherent sampling.

EnergyMoGen: Compositional Human Motion Generation with Energy-Based Diffusion Model in Latent Space Synthesizing long- term human motions with diffusion models via coherent sampling

Reference 69

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:03:40.527018Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 135cbeae-a1ef-4d6d-9abb-93b3b5954854 · outbound

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

EnergyMoGen: Compositional Human Motion Generation with Energy-Based Diffusion Model in Latent Space Physdiff: Physics-guided human motion diffusion model

Reference 70

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:03:40.510552Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 7f0b5478-5e9f-466d-a276-7aedb8725cd8 · outbound

This paper cites Language-guided human motion synthesis with atomic actions.

EnergyMoGen: Compositional Human Motion Generation with Energy-Based Diffusion Model in Latent Space Language-guided human motion synthesis with atomic actions

Reference 71

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 25f62238-da4c-40c3-85e1-cb86fef0557c · outbound

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

EnergyMoGen: Compositional Human Motion Generation with Energy-Based Diffusion Model in Latent Space Generating human motion from textual descriptions with discrete representations

Reference 72

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 4523077f-e42c-474d-913b-7c24aa296717 · outbound

This paper cites Motiondif- fuse: Text-driven human motion generation with diffusion model.

EnergyMoGen: Compositional Human Motion Generation with Energy-Based Diffusion Model in Latent Space Motiondif- fuse: Text-driven human motion generation with diffusion model

Reference 73

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-11T12:03:39.983717Z digest=sha256:9a3c2500ce773490f4bd08acc4d6286df5fc308f636b93d274b3956f3c293784

Observation 414435cc-992b-47bf-acee-7a7f13ba17ea · outbound

This paper cites Remodiffuse: Retrieval-augmented motion diffusion model.

EnergyMoGen: Compositional Human Motion Generation with Energy-Based Diffusion Model in Latent Space Remodiffuse: Retrieval-augmented motion diffusion model

Reference 74

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 24c4e6d2-bc19-43c8-9cbb-6cd9bb7e8511 · outbound

This paper cites Finemogen: Fine-grained spatio- temporal motion generation and editing.

EnergyMoGen: Compositional Human Motion Generation with Energy-Based Diffusion Model in Latent Space Finemogen: Fine-grained spatio- temporal motion generation and editing

Reference 75

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 5a334608-345f-4b5c-ab4d-b09700a38d34 · outbound

This paper cites Mo- tiongpt: Finetuned llms are general-purpose motion genera- tors.

EnergyMoGen: Compositional Human Motion Generation with Energy-Based Diffusion Model in Latent Space Mo- tiongpt: Finetuned llms are general-purpose motion genera- tors

Reference 76

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-11T12:03:39.999574Z digest=sha256:71f4abe56e6383464bbae3dc4b40611e403bc9e3e6f300a1595061ccf566d6d2

Observation 6eb74f9e-c811-4ce9-b9a6-6bad6e4870b2 · outbound

This paper cites Motion mamba: Efficient and long sequence motion generation.

EnergyMoGen: Compositional Human Motion Generation with Energy-Based Diffusion Model in Latent Space Motion mamba: Efficient and long sequence motion generation

Reference 77

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-11T12:03:40.005062Z digest=sha256:177a72d9bce9f519568cf95c1814ac904f0701cd9a5b3861a94db4f767e93e82

Observation db8c1b6b-0020-4c03-a105-f1de2faa9723 · outbound

This paper cites Energy- based generative adversarial networks.

EnergyMoGen: Compositional Human Motion Generation with Energy-Based Diffusion Model in Latent Space Energy- based generative adversarial networks

Reference 78

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 1a05cac7-e51d-4df3-8dac-2ea18a3b185f · outbound

This paper cites Attt2m: Text-driven human motion generation with multi- perspective attention mechanism.

EnergyMoGen: Compositional Human Motion Generation with Energy-Based Diffusion Model in Latent Space Attt2m: Text-driven human motion generation with multi- perspective attention mechanism

Reference 79

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:03:40.354426Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 52db30f9-4631-40bc-bc87-d3f6baba2af7 · outbound

This paper cites Ude: A unified driv- ing engine for human motion generation.

EnergyMoGen: Compositional Human Motion Generation with Energy-Based Diffusion Model in Latent Space Ude: A unified driv- ing engine for human motion generation

Reference 80

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:03:40.335592Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-11T12:03:40.021459Z digest=sha256:d01a329e27a134f2155393a02738f2df735acf9287203a2d3e2912f5c037b4e3

Observation 4d84fa70-1b4b-451e-a151-d8a9892aeb0b · outbound

This paper cites first take.

EnergyMoGen: Compositional Human Motion Generation with Energy-Based Diffusion Model in Latent Space first take

Reference 81

Resolution
malformed identifier
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-11T12:03:40.026908Z digest=sha256:111997094adbc2a4b5b7d8164a283dc0fd849fb67421d56f669df52b370187b4

Pith citing papers

Observation 8d6b4f03-b7ad-4768-a476-8a926ab3985f · inbound

Rethinking Diffusion for Text-Driven Human Motion Generation: Redundant Representations, Evaluation, and Masked Autoregression cites this paper.

Rethinking Diffusion for Text-Driven Human Motion Generation: Redundant Representations, Evaluation, and Masked Autoregression EnergyMoGen: Compositional Human Motion Generation with Energy-Based Diffusion Model in Latent Space

Reference 112

Resolution
unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T13:02:32.115858Z digest=sha256:7723e6809f1483596b442b1dc6eb0082263603bdf3f18026a2902c52e1d771bb

Observation 96c3931a-b095-4121-85f5-e20b7914dbce · inbound

Absolute Coordinates Make Motion Generation Easy cites this paper.

Absolute Coordinates Make Motion Generation Easy EnergyMoGen: Compositional Human Motion Generation with Energy-Based Diffusion Model in Latent Space

Reference 117

Resolution
unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:19:24.539997Z digest=sha256:d1591ef57a1a4a2d26e272d30cf9e7fc80fadcb9efc5defec8c89871fd62b583

Observation ba5c1e1f-a0ce-4052-997b-5f30401a9c13 · inbound

Text Dictates, Music Decorates: Energy-based Attention for Editable Dance Motion Generation cites this paper.

Text Dictates, Music Decorates: Energy-based Attention for Editable Dance Motion Generation EnergyMoGen: Compositional Human Motion Generation with Energy-Based Diffusion Model in Latent Space

Reference 70

Resolution
verified exact
arxiv_id, observed 2026-06-26T09:19:16.023606Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-06-26T09:15:27.661551Z digest=sha256:8e0d22f486def6b6c9b37d47cedaf4f047a5269b930cac83baefe840a5a51d6b

Observation b6af3e8c-ee33-4ef0-b6f5-91fb31ab3ef2 · inbound

Text Dictates, Music Decorates: Energy-based Attention for Editable Dance Motion Generation cites this paper.

Text Dictates, Music Decorates: Energy-based Attention for Editable Dance Motion Generation EnergyMoGen: Compositional Human Motion Generation with Energy-Based Diffusion Model in Latent Space

Reference 70

Resolution
unresolved
no resolver link, observed 2026-07-12T12:50:56.152971Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T12:50:56.152971Z digest=sha256:b07ec1250592210741ec131a1676337039a850ecf75311ecd8ca70932b0b8f58

Observation b37c3ff4-30c0-46f5-9b61-60680675e571 · inbound

MoRAE: Flow-Friendly Self-Supervised Latents for Text-to-Motion Generation cites this paper.

MoRAE: Flow-Friendly Self-Supervised Latents for Text-to-Motion Generation EnergyMoGen: Compositional Human Motion Generation with Energy-Based Diffusion Model in Latent Space

Reference 95

Resolution
unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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