Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-15T21:07:15.859092Z
Paper Citation Record · LEDGER
MoCLIP: Motion-Aware Fine-Tuning and Distillation of CLIP for Human Motion Generation
As of 24 August 2026, this Paper Citation Record lists 53 of 53 outbound references and 0 inbound Pith citation observations for arXiv:2505.10810.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
53 of 53 outbound references displayed
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External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 6dbd5909-7a62-4a75-93cc-02983ffbd1f0 · outbound
This paper cites Skeleton- aware networks for deep motion retargeting.
MoCLIP: Motion-Aware Fine-Tuning and Distillation of CLIP for Human Motion Generation Skeleton- aware networks for deep motion retargeting
Reference 1
- 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.
Observation cfc22bc0-08ad-412e-84c9-cdeefe734133 · outbound
This paper cites Text2action: Generative adversarial synthesis from language to action, 2017.
MoCLIP: Motion-Aware Fine-Tuning and Distillation of CLIP for Human Motion Generation Text2action: Generative adversarial synthesis from language to action, 2017
Reference 2
- 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.
Observation e4545b28-ba0b-4043-8cd5-c9bfd1ed7f1c · outbound
This paper cites Lan- guage2pose: Natural language grounded pose forecasting,.
MoCLIP: Motion-Aware Fine-Tuning and Distillation of CLIP for Human Motion Generation Lan- guage2pose: Natural language grounded pose forecasting,
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:07:16.404921Z
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.
Observation 072669d4-a2c2-4e36-8c56-bc8f92c283b7 · outbound
This paper cites Make-an-animation: Large-scale text- conditional 3d human motion generation.
MoCLIP: Motion-Aware Fine-Tuning and Distillation of CLIP for Human Motion Generation Make-an-animation: Large-scale text- conditional 3d human motion generation
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:07:16.395438Z
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.
Observation 5737223f-92a3-4959-83f7-733997754e9c · outbound
This paper cites MoFM: A Large-Scale Human Motion Foundation Model.
MoCLIP: Motion-Aware Fine-Tuning and Distillation of CLIP for Human Motion Generation MoFM: A Large-Scale Human Motion Foundation Model
Reference 5
- Resolution
- verified exact
- local_arxiv, observed 2026-08-15T21:07:15.933563Z
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.
Observation f4e9aaec-9137-4a03-8f4c-9927d6432e20 · outbound
This paper cites Executing your commands via motion diffusion in latent space.
MoCLIP: Motion-Aware Fine-Tuning and Distillation of CLIP for Human Motion Generation Executing your commands via motion diffusion in latent space
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:07:16.385500Z
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.
Observation f70763c8-c69a-4b11-95b5-829d3e12e730 · outbound
This paper cites Livephoto: Real image animation with text-guided motion control.
MoCLIP: Motion-Aware Fine-Tuning and Distillation of CLIP for Human Motion Generation Livephoto: Real image animation with text-guided motion control
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:07:16.375261Z
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.
Observation 6fe300ae-5bf4-4da2-b6c1-8ae636ced612 · outbound
This paper cites Channel-wise topology refinement graph convolution for skeleton-based action recognition.
MoCLIP: Motion-Aware Fine-Tuning and Distillation of CLIP for Human Motion Generation Channel-wise topology refinement graph convolution for skeleton-based action recognition
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:07:16.365202Z
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.
Observation 261f99c1-c257-48e9-a8e3-22a0b23a535b · outbound
This paper cites Mofusion: A framework for denoising-diffusion-based motion synthesis.
MoCLIP: Motion-Aware Fine-Tuning and Distillation of CLIP for Human Motion Generation Mofusion: A framework for denoising-diffusion-based motion synthesis
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:07:16.354790Z
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.
Observation f763dbc5-9771-4f3e-8217-3300023bb29f · outbound
This paper cites Avatars grow legs: Generating smooth human motion from sparse tracking in- puts with diffusion model.
MoCLIP: Motion-Aware Fine-Tuning and Distillation of CLIP for Human Motion Generation Avatars grow legs: Generating smooth human motion from sparse tracking in- puts with diffusion model
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:07:16.343965Z
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.
Observation a1ffecdc-f8b1-4e23-be53-c8d7b9dec5f9 · outbound
This paper cites Transformer- based generative adversarial networks in computer vision: A comprehensive survey.
MoCLIP: Motion-Aware Fine-Tuning and Distillation of CLIP for Human Motion Generation Transformer- based generative adversarial networks in computer vision: A comprehensive survey
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.
Observation a925de05-4050-4353-9dda-2ceed2f41d07 · outbound
This paper cites Esser, R.
MoCLIP: Motion-Aware Fine-Tuning and Distillation of CLIP for Human Motion Generation Esser, R
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:07:16.323094Z
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.
Observation 0205ff2e-7475-4fe2-82d1-47296a1fd466 · outbound
This paper cites Ac- tion2motion: Conditioned generation of 3d human motions.
MoCLIP: Motion-Aware Fine-Tuning and Distillation of CLIP for Human Motion Generation Ac- tion2motion: Conditioned generation of 3d human motions
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:07:16.312791Z
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.
Observation c42b00eb-cc0b-4b5b-924b-ab8308427e18 · outbound
This paper cites Generating diverse and natural 3d human motions from text.
MoCLIP: Motion-Aware Fine-Tuning and Distillation of CLIP for Human Motion Generation Generating diverse and natural 3d human motions from text
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:07:16.302684Z
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.
Observation 928de684-9dfb-469d-ad05-473171468e7b · outbound
This paper cites Tm2t: Stochastic and tokenized modeling for the reciprocal genera- tion of 3d human motions and texts.
MoCLIP: Motion-Aware Fine-Tuning and Distillation of CLIP for Human Motion Generation Tm2t: Stochastic and tokenized modeling for the reciprocal genera- tion of 3d human motions and texts
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:07:16.291361Z
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.
Observation 54dbd4d6-5ef2-4bfa-a0f0-b59e8e9107b5 · outbound
This paper cites Momask: Generative masked model- ing of 3d human motions.
MoCLIP: Motion-Aware Fine-Tuning and Distillation of CLIP for Human Motion Generation Momask: Generative masked model- ing of 3d human motions
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:07:16.280292Z
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.
Observation 04dd317f-e327-4722-8a4b-6acc8278ced4 · outbound
This paper cites BAD: Bidirectional Auto-regressive Diffusion for Text-to-Motion Generation.
MoCLIP: Motion-Aware Fine-Tuning and Distillation of CLIP for Human Motion Generation BAD: Bidirectional Auto-regressive Diffusion for Text-to-Motion Generation
Reference 17
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ee9a58a2-4f78-4d29-b091-85733da2c9d8 · outbound
This paper cites A recurrent variational autoen- coder for human motion synthesis.
MoCLIP: Motion-Aware Fine-Tuning and Distillation of CLIP for Human Motion Generation A recurrent variational autoen- coder for human motion synthesis
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:07:16.269568Z
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.
Observation 99603f61-3dba-4277-97e9-87dfa2070fd7 · outbound
This paper cites Omg: Towards open-vocabulary motion generation via mix- ture of controllers.
MoCLIP: Motion-Aware Fine-Tuning and Distillation of CLIP for Human Motion Generation Omg: Towards open-vocabulary motion generation via mix- ture of controllers
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:07:16.258073Z
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.
Observation 3fb5733c-fbf5-40a0-83d7-0883247a58a8 · outbound
This paper cites Fully Fine-tuned CLIP Models are Efficient Few-Shot Learners.
MoCLIP: Motion-Aware Fine-Tuning and Distillation of CLIP for Human Motion Generation Fully Fine-tuned CLIP Models are Efficient Few-Shot Learners
Reference 20
- Resolution
- verified exact
- local_arxiv, observed 2026-08-15T21:07:15.907849Z
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.
Observation 7f0ff4f3-3bb9-42ac-a1bd-f33b705d2457 · outbound
This paper cites Disentangling and unifying graph con- volutions for skeleton-based action recognition.
MoCLIP: Motion-Aware Fine-Tuning and Distillation of CLIP for Human Motion Generation Disentangling and unifying graph con- volutions for skeleton-based action recognition
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:07:16.247025Z
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.
Observation deda2ee9-a0b1-4f03-b078-90a1f59f7d4c · outbound
This paper cites Amass: Archive of motion capture as surface shapes.
MoCLIP: Motion-Aware Fine-Tuning and Distillation of CLIP for Human Motion Generation Amass: Archive of motion capture as surface shapes
Reference 22
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T21:07:15.749773Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d3d107fc-4dfe-45bc-997f-24b7d70efc24 · outbound
This paper cites Fine-tuning can cripple your foundation model; preserving features may be the solution.
MoCLIP: Motion-Aware Fine-Tuning and Distillation of CLIP for Human Motion Generation Fine-tuning can cripple your foundation model; preserving features may be the solution
Reference 23
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T21:07:15.753153Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 86571145-d410-4076-b280-dd8a2c3bb643 · outbound
This paper cites An exploratory study on human-centric video anomaly detection through variational autoencoders and trajectory prediction.
MoCLIP: Motion-Aware Fine-Tuning and Distillation of CLIP for Human Motion Generation An exploratory study on human-centric video anomaly detection through variational autoencoders and trajectory prediction
Reference 24
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T21:07:15.756948Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 51b8e465-e521-4ad3-8322-8baf80ab8042 · outbound
This paper cites Ancilia: Scalable intelligent video surveillance for the artificial intelligence of things.
MoCLIP: Motion-Aware Fine-Tuning and Distillation of CLIP for Human Motion Generation Ancilia: Scalable intelligent video surveillance for the artificial intelligence of things
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:07:16.223579Z
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.
Observation bde71c9b-4a1e-4cde-805c-43cf914b085c · outbound
This paper cites A survey of graph-based deep learning for anomaly detection in distributed systems.
MoCLIP: Motion-Aware Fine-Tuning and Distillation of CLIP for Human Motion Generation A survey of graph-based deep learning for anomaly detection in distributed systems
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:07:16.212281Z
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.
Observation 067cf77d-b3bd-4782-a35b-ece7d9b286e2 · outbound
This paper cites Vt-former: An exploratory study on vehicle trajectory prediction for highway surveil- lance through graph isomorphism and transformer.
MoCLIP: Motion-Aware Fine-Tuning and Distillation of CLIP for Human Motion Generation Vt-former: An exploratory study on vehicle trajectory prediction for highway surveil- lance through graph isomorphism and transformer
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:07:16.201516Z
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.
Observation 03ea2d94-68df-40a8-828c-dbeea6c862e9 · outbound
This paper cites Temos: Generating diverse human motions from textual descriptions.
MoCLIP: Motion-Aware Fine-Tuning and Distillation of CLIP for Human Motion Generation Temos: Generating diverse human motions from textual descriptions
Reference 28
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 93277905-7313-4b45-94ed-af181531f350 · outbound
This paper cites Bamm: Bidirectional autoregressive motion model.
MoCLIP: Motion-Aware Fine-Tuning and Distillation of CLIP for Human Motion Generation Bamm: Bidirectional autoregressive motion model
Reference 29
- Resolution
- verified fuzzy
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Source-reported events for the cited work
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Observation 315f8342-ba0a-40c8-9dc6-0329332f12db · outbound
This paper cites Mmm: Generative masked motion model.
MoCLIP: Motion-Aware Fine-Tuning and Distillation of CLIP for Human Motion Generation Mmm: Generative masked motion model
Reference 30
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:07:16.167203Z
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.
Observation 6a3880da-5556-4286-afc5-0b6f109fd3a0 · outbound
This paper cites The kit motion-language dataset.
MoCLIP: Motion-Aware Fine-Tuning and Distillation of CLIP for Human Motion Generation The kit motion-language dataset
Reference 31
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f5a11153-d70a-44b6-b8bf-57278ad27f30 · outbound
This paper cites Skeleton-based action recognition via spatial and temporal transformer networks.
MoCLIP: Motion-Aware Fine-Tuning and Distillation of CLIP for Human Motion Generation Skeleton-based action recognition via spatial and temporal transformer networks
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.
Observation a4ef5244-7ddf-4a88-8c50-0d95ddfe9747 · outbound
This paper cites Learning transferable visual models from natural language supervision, 2021.
MoCLIP: Motion-Aware Fine-Tuning and Distillation of CLIP for Human Motion Generation Learning transferable visual models from natural language supervision, 2021
Reference 33
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:07:16.137658Z
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.
Observation 3394c3f3-7150-4006-b62e-bd1b46263c7c · outbound
This paper cites Guided attention for interpretable mo- tion captioning.
MoCLIP: Motion-Aware Fine-Tuning and Distillation of CLIP for Human Motion Generation Guided attention for interpretable mo- tion captioning
Reference 34
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:07:16.126577Z
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.
Observation eccb294a-aa92-43cb-a802-04d3d4cddb3f · outbound
This paper cites Generat- ing diverse high-fidelity images with vq-vae-2.
MoCLIP: Motion-Aware Fine-Tuning and Distillation of CLIP for Human Motion Generation Generat- ing diverse high-fidelity images with vq-vae-2
Reference 35
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:07:16.115451Z
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.
Observation ab0af8b5-1384-4337-8e26-b85589b17448 · outbound
This paper cites Skeleton-based action recognition with multi-stream adap- tive graph convolutional networks.
MoCLIP: Motion-Aware Fine-Tuning and Distillation of CLIP for Human Motion Generation Skeleton-based action recognition with multi-stream adap- tive graph convolutional networks
Reference 36
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:07:16.104748Z
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.
Observation 747d9abf-31b0-4f72-be8b-2f63767bb9a3 · outbound
This paper cites Opinion unaware image quality assessment via ad- versarial convolutional variational autoencoder.
MoCLIP: Motion-Aware Fine-Tuning and Distillation of CLIP for Human Motion Generation Opinion unaware image quality assessment via ad- versarial convolutional variational autoencoder
Reference 37
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:07:16.093853Z
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.
Observation 0acf5b99-d5dd-411a-be6c-25c41dc0a5ac · outbound
This paper cites Curobo: Parallelized collision-free robot mo- tion generation.
MoCLIP: Motion-Aware Fine-Tuning and Distillation of CLIP for Human Motion Generation Curobo: Parallelized collision-free robot mo- tion generation
Reference 38
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f03457ee-c65b-4fe0-bd54-e11251252657 · outbound
This paper cites Rethinking the inception archi- tecture for computer vision.
MoCLIP: Motion-Aware Fine-Tuning and Distillation of CLIP for Human Motion Generation Rethinking the inception archi- tecture for computer vision
Reference 39
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9ccc6fc6-6bc8-4bf3-9343-bc088b09e645 · outbound
This paper cites Bermano, and Daniel Cohen-Or.
MoCLIP: Motion-Aware Fine-Tuning and Distillation of CLIP for Human Motion Generation Bermano, and Daniel Cohen-Or
Reference 40
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:07:16.070012Z
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.
Observation 21643f99-abb5-4d73-b0f1-661edecacc35 · outbound
This paper cites an unresolved cited work.
MoCLIP: Motion-Aware Fine-Tuning and Distillation of CLIP for Human Motion Generation Unresolved cited work
Reference 41
- Resolution
- unresolved
- raw_fallback, observed 2026-08-15T21:07:16.060180Z
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.
Observation b96213ac-0157-40b5-bdb4-3cd61b6b42a0 · outbound
This paper cites Relmogen: Integrat- ing motion generation in reinforcement learning for mobile manipulation.
MoCLIP: Motion-Aware Fine-Tuning and Distillation of CLIP for Human Motion Generation Relmogen: Integrat- ing motion generation in reinforcement learning for mobile manipulation
Reference 42
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:07:16.050625Z
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.
Observation aa5c0042-bb31-48df-8cf1-8663d6418974 · outbound
This paper cites Autore- gressive queries for adaptive tracking with spatio-temporal transformers.
MoCLIP: Motion-Aware Fine-Tuning and Distillation of CLIP for Human Motion Generation Autore- gressive queries for adaptive tracking with spatio-temporal transformers
Reference 43
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:07:16.040494Z
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.
Observation eb46b185-cfcc-431b-a344-cdf6d0bb5940 · outbound
This paper cites Improving viewing experiences of first-person shooter gameplays with automatically-generated motion effects.
MoCLIP: Motion-Aware Fine-Tuning and Distillation of CLIP for Human Motion Generation Improving viewing experiences of first-person shooter gameplays with automatically-generated motion effects
Reference 44
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:07:16.029618Z
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.
Observation 3a32bd5f-41f5-489e-be97-0bc6f4b32b37 · outbound
This paper cites T2m-gpt: Generating human motion from textual de- scriptions with discrete representations.
MoCLIP: Motion-Aware Fine-Tuning and Distillation of CLIP for Human Motion Generation T2m-gpt: Generating human motion from textual de- scriptions with discrete representations
Reference 45
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:07:16.019139Z
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.
Observation 45102c67-acb5-4d86-bb9b-f2387019354c · outbound
This paper cites Generating human motion from textual descrip- tions with discrete representations.
MoCLIP: Motion-Aware Fine-Tuning and Distillation of CLIP for Human Motion Generation Generating human motion from textual descrip- tions with discrete representations
Reference 46
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:07:16.008860Z
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.
Observation 0f1d04e9-780c-47d3-a3b4-15bd9f5d893e · outbound
This paper cites Motiondif- fuse: Text-driven human motion generation with diffusion model, 2022.
MoCLIP: Motion-Aware Fine-Tuning and Distillation of CLIP for Human Motion Generation Motiondif- fuse: Text-driven human motion generation with diffusion model, 2022
Reference 47
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:07:15.998196Z
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.
Observation f4849938-15ed-445b-b1ce-b90b3c5122d9 · outbound
This paper cites Re- MoDiffuse: Retrieval-augmented motion diffusion model.
MoCLIP: Motion-Aware Fine-Tuning and Distillation of CLIP for Human Motion Generation Re- MoDiffuse: Retrieval-augmented motion diffusion model
Reference 48
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:07:15.988146Z
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.
Observation 2470cb4c-4bdb-4c92-89bd-64a3eb97ee19 · outbound
This paper cites Large motion model for unified multi-modal motion generation.
MoCLIP: Motion-Aware Fine-Tuning and Distillation of CLIP for Human Motion Generation Large motion model for unified multi-modal motion generation
Reference 49
- Resolution
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- no resolver link, observed 2026-08-15T21:07:15.848309Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e0fca982-8711-4f70-8a5b-7d2557399373 · outbound
This paper cites Pose-to-motion: Cross- domain motion retargeting with pose prior.
MoCLIP: Motion-Aware Fine-Tuning and Distillation of CLIP for Human Motion Generation Pose-to-motion: Cross- domain motion retargeting with pose prior
Reference 50
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:07:15.971062Z
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.
Observation ae4dc78c-b3fb-4f62-9f82-07ac95fa76d4 · outbound
This paper cites Senm-vae: Semi-supervised noise modeling with hierarchical variational autoencoder.
MoCLIP: Motion-Aware Fine-Tuning and Distillation of CLIP for Human Motion Generation Senm-vae: Semi-supervised noise modeling with hierarchical variational autoencoder
Reference 51
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:07:15.957336Z
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.
Observation 133ee581-35f6-45f1-b80f-8a9cfedac243 · outbound
This paper cites Human motion generation: A survey.
MoCLIP: Motion-Aware Fine-Tuning and Distillation of CLIP for Human Motion Generation Human motion generation: A survey
Reference 52
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:07:15.945912Z
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.
Observation 4f6fa141-ba90-49bd-95ad-2cfddc0698e4 · outbound
This paper cites an unresolved cited work.
MoCLIP: Motion-Aware Fine-Tuning and Distillation of CLIP for Human Motion Generation Unresolved cited work
Reference 497
- Resolution
- parse uncertain
- no resolver link, observed 2026-08-15T21:07:15.775142Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Pith citing papers
No inbound Pith citation observations are available.