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Paper Citation Record · LEDGER

PlanMoGPT: Flow-Enhanced Progressive Planning for Text to Motion Synthesis

As of 18 August 2026, this Paper Citation Record lists 63 of 63 outbound references and 1 inbound Pith citation observation for arXiv:2506.17912.

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

pith.paper-citation-record.v1
2506.17912 v1

Coverage vector

measured 63 of 63 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T23:27:45.288936Z

measured 64 of 64 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-13T20:16:35.411267Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-13T20:18:13.202646Z

Reference resolution

63 of 63 outbound references displayed

  • verified exact1
  • verified fuzzy29
  • unresolved33
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 90a763a1-4952-46ba-bd87-8a8c9bbd7aad · outbound

This paper cites Motion Flow Matching for Human Motion Synthesis and Editing.

PlanMoGPT: Flow-Enhanced Progressive Planning for Text to Motion Synthesis Motion Flow Matching for Human Motion Synthesis and Editing

Reference 1

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source=pdf_text observed=2026-08-06T23:27:40.790842Z digest=sha256:c97dd4873962e4664c553ba2364eb9141a61b30c5f1917fc5fddf562eecfffc3

Observation 57669eca-3d83-4974-9a06-9ffab7a0cc2d · outbound

This paper cites GPT-4 Technical Report.

PlanMoGPT: Flow-Enhanced Progressive Planning for Text to Motion Synthesis GPT-4 Technical Report

Reference 2

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-06T23:27:40.884564Z digest=sha256:3d505cf3bfd39bd7600d59dd1fc40a1fee3479484cd0cdfb12e8b27aa594a203

Observation 1f6e173e-f83a-4c82-8e5d-4701e13d8fb2 · outbound

This paper cites Flamingo: a visual language model for few-shot learning.Advances in neural information processing systems, 35:23716–23736, 2022.

PlanMoGPT: Flow-Enhanced Progressive Planning for Text to Motion Synthesis Flamingo: a visual language model for few-shot learning.Advances in neural information processing systems, 35:23716–23736, 2022

Reference 3

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no resolver link, observed 2026-08-06T23:27:40.953922Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-06T23:27:40.953922Z digest=sha256:ed3eba82430d7f10d0734a4ad2c6d0a375efcbb4b6d1e4a4914308c9c37c1167

Observation 816bef85-a25e-4377-abc5-bd7efa5c1b7a · outbound

This paper cites Gesturediffuclip: Gesture diffusion model with clip latents.ACM Transactions on Graphics (TOG), 42(4):1–18, 2023.

PlanMoGPT: Flow-Enhanced Progressive Planning for Text to Motion Synthesis Gesturediffuclip: Gesture diffusion model with clip latents.ACM Transactions on Graphics (TOG), 42(4):1–18, 2023

Reference 4

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verified fuzzy
raw_fallback, observed 2026-08-06T23:27:46.006530Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T23:27:41.030977Z digest=sha256:ac6da694f1cf9adaab041905c54b7c55ddc189c6e98339d81eb18f3591c6707e

Observation 7a526be9-24ed-4d37-92df-ea0fc9ce24b0 · outbound

This paper cites Language models are few-shot learners.Advances in neural information processing systems, 33:1877–1901, 2020.

PlanMoGPT: Flow-Enhanced Progressive Planning for Text to Motion Synthesis Language models are few-shot learners.Advances in neural information processing systems, 33:1877–1901, 2020

Reference 5

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no resolver link, observed 2026-08-06T23:27:41.111558Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:27:41.111558Z digest=sha256:3ada739e8a3b687f4ca9f3b43f79e414733fbec1fae722aee3aa93c550f2cfb1

Observation 78b91fcb-316a-40c2-a690-9e5016e15408 · outbound

This paper cites Long- term human motion prediction with scene context.

PlanMoGPT: Flow-Enhanced Progressive Planning for Text to Motion Synthesis Long- term human motion prediction with scene context

Reference 6

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verified fuzzy
raw_fallback, observed 2026-08-06T23:27:45.985661Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T23:27:41.177602Z digest=sha256:2e3534daea789c090e413cd6302ff9f2867ac0ef052fb1e2fc82a823b8f34174

Observation 3ce38eb4-dcee-4427-8e8c-c372f81d34f5 · outbound

This paper cites Cmu graphics lab motion capture database, 2003.

PlanMoGPT: Flow-Enhanced Progressive Planning for Text to Motion Synthesis Cmu graphics lab motion capture database, 2003

Reference 7

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verified fuzzy
raw_fallback, observed 2026-08-06T23:27:45.973174Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T23:27:41.269465Z digest=sha256:93d4181cad85c78b872c0c504a6f8b273d4f55c93da4555ee6a2f35aa8e93abe

Observation ecd3cc6c-2636-43ba-8afd-fe32c3b7ee89 · outbound

This paper cites Matterport3D: Learning from RGB-D Data in Indoor Environments.

PlanMoGPT: Flow-Enhanced Progressive Planning for Text to Motion Synthesis Matterport3D: Learning from RGB-D Data in Indoor Environments

Reference 8

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no resolver link, observed 2026-08-06T23:27:41.329444Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:27:41.329444Z digest=sha256:8c7a34879d4abaf6d6d8242b345fc3b9d72e42d4f7a05eb88f8db268f1373a29

Observation 7696776e-6263-4799-a737-657b688c2ee8 · outbound

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

PlanMoGPT: Flow-Enhanced Progressive Planning for Text to Motion Synthesis Executing your commands via motion diffusion in latent space

Reference 9

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no resolver link, observed 2026-08-06T23:27:41.368660Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:27:41.368660Z digest=sha256:70fd5cb4c969a4cc9a9cbff4f314984c10a5b41d2091f4f3ebdd30be32444a20

Observation 5de944e7-8c27-4f3c-a07f-2b2f8248296f · outbound

This paper cites Generative adversarial graph convolutional networks for human action synthesis.

PlanMoGPT: Flow-Enhanced Progressive Planning for Text to Motion Synthesis Generative adversarial graph convolutional networks for human action synthesis

Reference 10

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verified fuzzy
raw_fallback, observed 2026-08-06T23:27:45.951577Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T23:27:41.450727Z digest=sha256:c8534fef956d15e304d00e0af21957ae6a15bd7eef3a074f2186ce4a1f34a366

Observation b013ad27-0cd9-4466-88a4-132ced0e390c · outbound

This paper cites Learning individual styles of conversational gesture.

PlanMoGPT: Flow-Enhanced Progressive Planning for Text to Motion Synthesis Learning individual styles of conversational gesture

Reference 11

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verified fuzzy
raw_fallback, observed 2026-08-06T23:27:45.939695Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T23:27:41.496393Z digest=sha256:aa168168020555a81ec6d4e55521369b3ff12746e680a0e8b00ee63819d8f0de

Observation 41102238-5526-4254-9e40-284c4da4ad7d · outbound

This paper cites Generative adversarial nets.Advances in neural information processing systems, 27, 2014.

PlanMoGPT: Flow-Enhanced Progressive Planning for Text to Motion Synthesis Generative adversarial nets.Advances in neural information processing systems, 27, 2014

Reference 12

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:27:41.563826Z digest=sha256:a7bb43e819eb0d6e375c5d42036e5e13bdfae2d4cff5dde77c0004e23998cc54

Observation e96f607d-db40-4bd0-8e15-07a904e7c950 · outbound

This paper cites Momask: Generative masked modeling of 3d human motions.

PlanMoGPT: Flow-Enhanced Progressive Planning for Text to Motion Synthesis Momask: Generative masked modeling of 3d human motions

Reference 13

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no resolver link, observed 2026-08-06T23:27:41.655390Z

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source=pdf_text observed=2026-08-06T23:27:41.655390Z digest=sha256:467945876065db34388a240be03be5ec4225fc4a746233694b2c01dc01dd306c

Observation f6e7729f-74e0-4049-ba57-4573d64075bc · outbound

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

PlanMoGPT: Flow-Enhanced Progressive Planning for Text to Motion Synthesis Generating diverse and natural 3d human motions from text

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:27:45.902606Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T23:27:41.746624Z digest=sha256:8599fbfa8541f80c869cb9913514e80ac930317b8c7e4520e0112f41cd2cf70f

Observation 053a7caf-3f12-40ed-b05e-44155b30ce1e · outbound

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

PlanMoGPT: Flow-Enhanced Progressive Planning for Text to Motion Synthesis Action2motion: Conditioned generation of 3d human motions

Reference 15

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no resolver link, observed 2026-08-06T23:27:41.807511Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:27:41.807511Z digest=sha256:f740d912268834097821b5be34ac8df4b9e7ef241c959487b2d1bbf41d3da01e

Observation 9d8e9e12-bc80-40e8-bf60-71324fefe8a8 · outbound

This paper cites Stochastic scene-aware motion prediction.

PlanMoGPT: Flow-Enhanced Progressive Planning for Text to Motion Synthesis Stochastic scene-aware motion prediction

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:27:45.880994Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T23:27:41.897057Z digest=sha256:30978772a8ebd96604167109dc20554bfdda3250755aebaa2d028444da416ed8

Observation 2d05f54c-11dc-4994-bee4-fa4265f943a8 · outbound

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

PlanMoGPT: Flow-Enhanced Progressive Planning for Text to Motion Synthesis Denoising diffusion probabilistic models.Advances in neural information processing systems, 33:6840–6851, 2020

Reference 17

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no resolver link, observed 2026-08-06T23:27:42.014387Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-06T23:27:42.014387Z digest=sha256:764be16e78e9c38146f1ea1ecb3577b231caadcbc52ff34ed3f63b9ebf98a524

Observation 5d02a334-0f00-49fd-b8eb-6c78d08a11b6 · outbound

This paper cites Avatarclip: zero-shot text-driven generation and animation of 3d avatars.ACM Transactions on Graphics (TOG), 41(4):1–19, 2022.

PlanMoGPT: Flow-Enhanced Progressive Planning for Text to Motion Synthesis Avatarclip: zero-shot text-driven generation and animation of 3d avatars.ACM Transactions on Graphics (TOG), 41(4):1–19, 2022

Reference 18

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raw_fallback, observed 2026-08-06T23:27:45.852164Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T23:27:42.112072Z digest=sha256:5a6034d6397fcb28d6bf67ac433d66fee7486aa2bfebf2192ecb6b5228710353

Observation 2c1ea0fd-ffd0-4bb6-a55e-352daccc1e77 · outbound

This paper cites Motiongpt: Human motion as a foreign language.Advances in Neural Information Processing Systems, 36:20067–20079, 2023.

PlanMoGPT: Flow-Enhanced Progressive Planning for Text to Motion Synthesis Motiongpt: Human motion as a foreign language.Advances in Neural Information Processing Systems, 36:20067–20079, 2023

Reference 19

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:27:42.194414Z digest=sha256:c08cee4ada6d2613fb8fc52ae30a46f01b1477b24b57356553c902a0e3c49bb2

Observation 654560e6-27ae-4bfc-af7f-be440fa7ce2f · outbound

This paper cites Auto-Encoding Variational Bayes.

PlanMoGPT: Flow-Enhanced Progressive Planning for Text to Motion Synthesis Auto-Encoding Variational Bayes

Reference 20

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no resolver link, observed 2026-08-06T23:27:42.307504Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:27:42.307504Z digest=sha256:24e43bdbd63c5a70c56a25194193be3f05b72117966a1879cb6c1231609b1729

Observation 32780bfb-008c-42f1-a852-2bd3bf9cf993 · outbound

This paper cites Generating images with multimodal language models.Advances in Neural Information Processing Systems, 36:21487–21506, 2023.

PlanMoGPT: Flow-Enhanced Progressive Planning for Text to Motion Synthesis Generating images with multimodal language models.Advances in Neural Information Processing Systems, 36:21487–21506, 2023

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:27:45.833196Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T23:27:42.414811Z digest=sha256:ad8b4f98ae341c5f220edf7f7e2c963b22ea988a6ad792bf5dd299d0030d6071

Observation ff3a0ceb-25e9-42d8-abee-24ed46e8185d · outbound

This paper cites Large language models are zero-shot reasoners.Advances in neural information processing systems, 35:22199–22213, 2022.

PlanMoGPT: Flow-Enhanced Progressive Planning for Text to Motion Synthesis Large language models are zero-shot reasoners.Advances in neural information processing systems, 35:22199–22213, 2022

Reference 22

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:27:42.495149Z digest=sha256:55d980436258a265fc3a33ae4f6eb7ffc552103446eb58eb13ab73a8cba50338

Observation 25609d26-928c-4375-bb12-5065c8a8095f · outbound

This paper cites Analyzing input and output representations for speech-driven gesture generation.

PlanMoGPT: Flow-Enhanced Progressive Planning for Text to Motion Synthesis Analyzing input and output representations for speech-driven gesture generation

Reference 23

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verified fuzzy
raw_fallback, observed 2026-08-06T23:27:45.807207Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T23:27:42.550917Z digest=sha256:97efb1d04cd570be9a85ab9e1da83c56c993972eca744f8e6a6d8d442adde6f3

Observation 79e64c09-2848-47f4-9918-95d86b730bc5 · outbound

This paper cites Au- dio2gestures: Generating diverse gestures from speech audio with conditional variational autoencoders.

PlanMoGPT: Flow-Enhanced Progressive Planning for Text to Motion Synthesis Au- dio2gestures: Generating diverse gestures from speech audio with conditional variational autoencoders

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:27:45.792121Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T23:27:42.689624Z digest=sha256:f9d1ea317266fe770ea59165481d7423f5358b8e5a492e56a3fa27a47ba860d7

Observation d87e30b9-27d3-484c-babf-53422a71627e · outbound

This paper cites Infinite Motion: Extended Motion Generation via Long Text Instructions.

PlanMoGPT: Flow-Enhanced Progressive Planning for Text to Motion Synthesis Infinite Motion: Extended Motion Generation via Long Text Instructions

Reference 25

Resolution
verified exact
local_arxiv, observed 2026-08-06T23:27:45.407544Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T23:27:42.736779Z digest=sha256:97f5da1a299db754565f01d5b78c227d93ad2a380008a4ded787384d7d0488e1

Observation ecdf3310-10a9-4923-b9ac-b9e703403049 · outbound

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

PlanMoGPT: Flow-Enhanced Progressive Planning for Text to Motion Synthesis Ai choreographer: Music conditioned 3d dance generation with aist++

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:27:45.775916Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T23:27:42.856241Z digest=sha256:a9029baf876e38d8e460ccf5a1773cb262058cd2426cc7d35974a28a2289a94a

Observation 33abe0e4-c369-459e-a5be-8dd24423838e · outbound

This paper cites A survey of multimodel large language models.

PlanMoGPT: Flow-Enhanced Progressive Planning for Text to Motion Synthesis A survey of multimodel large language models

Reference 27

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no resolver link, observed 2026-08-06T23:27:42.936840Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:27:42.936840Z digest=sha256:5d91df552fd0c12a39d9f2d5ffd8f3c4e4c595305b83309fb78308a418394476

Observation b00ffc27-4117-40dd-b262-b58435d78abd · outbound

This paper cites Flow Matching for Generative Modeling.

PlanMoGPT: Flow-Enhanced Progressive Planning for Text to Motion Synthesis Flow Matching for Generative Modeling

Reference 28

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no resolver link, observed 2026-08-06T23:27:43.009675Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:27:43.009675Z digest=sha256:0949f20a98f9314746318be9fedfb554a0dd1699a182f129a57bb1a293588a24

Observation 8b592e95-dba2-4068-a28e-05b0e1a81b38 · outbound

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

PlanMoGPT: Flow-Enhanced Progressive Planning for Text to Motion Synthesis Beat: A large-scale semantic and emotional multi-modal dataset for conversa- tional gestures synthesis

Reference 29

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no resolver link, observed 2026-08-06T23:27:43.127714Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:27:43.127714Z digest=sha256:263f3a3adc8f4b61c357f325f9286bf0ffcf2c569c8a72c24506858985c8fe72

Observation 95e183fa-59da-4890-9eb4-b387a9854c97 · outbound

This paper cites Visual instruction tuning.Advances in neural information processing systems, 36:34892–34916, 2023.

PlanMoGPT: Flow-Enhanced Progressive Planning for Text to Motion Synthesis Visual instruction tuning.Advances in neural information processing systems, 36:34892–34916, 2023

Reference 30

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no resolver link, observed 2026-08-06T23:27:43.227851Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:27:43.227851Z digest=sha256:f858dad8c9586dfa4313bccba19d899eb8ad5d0e1a65e237aa57c96616bfc66f

Observation b074d865-de4b-473e-be3f-77e84cecbd71 · outbound

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

PlanMoGPT: Flow-Enhanced Progressive Planning for Text to Motion Synthesis Amass: Archive of motion capture as surface shapes

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:27:45.740960Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T23:27:43.370490Z digest=sha256:ab9e1ca1e60771ff12708b4ccaa94277d1dd0260848519316fd7a9a2c2d8f0bb

Observation dafbfee2-9fa1-492e-8948-23691e63c9d9 · outbound

This paper cites The kit whole-body human motion database.

PlanMoGPT: Flow-Enhanced Progressive Planning for Text to Motion Synthesis The kit whole-body human motion database

Reference 32

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no resolver link, observed 2026-08-06T23:27:43.440147Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:27:43.440147Z digest=sha256:8068f44321189888a9180dd250f47abaab0093e6de6c8d42f6541754911b03de

Observation 4f1350f8-20f1-47af-ad4b-0d602b3eb3c7 · outbound

This paper cites Gan-based reactive motion synthesis with class-aware discriminators for human–human interaction.Computers & Graphics, 102:634–645, 2022.

PlanMoGPT: Flow-Enhanced Progressive Planning for Text to Motion Synthesis Gan-based reactive motion synthesis with class-aware discriminators for human–human interaction.Computers & Graphics, 102:634–645, 2022

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:27:45.722450Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T23:27:43.571777Z digest=sha256:3a5122061c813b6d16d54994926620171dc3e17532ef961a81f06d60a1db26af

Observation 9c951a02-b31e-4534-b591-8f36d55fed0d · outbound

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

PlanMoGPT: Flow-Enhanced Progressive Planning for Text to Motion Synthesis Action-conditioned 3d human motion synthesis with transformer vae

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:27:45.708698Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T23:27:43.675630Z digest=sha256:745a3508240671a82443c81fe57f7dd0a0b1adf1ffe7b252aa5aba18d03c2bd2

Observation e68d06b3-b7a4-4f46-9da2-5b8a3a7add91 · outbound

This paper cites Bamm: Bidirectional autoregressive motion model.

PlanMoGPT: Flow-Enhanced Progressive Planning for Text to Motion Synthesis Bamm: Bidirectional autoregressive motion model

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:27:45.695175Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T23:27:43.787534Z digest=sha256:bdca4bb3d53825d5389b6bd94fad5a16f98447460b0621737b18081a243853bf

Observation d9dacdf2-b652-4c66-9f2a-a738cfa11e26 · outbound

This paper cites Babel: Bodies, action and behavior with english labels.

PlanMoGPT: Flow-Enhanced Progressive Planning for Text to Motion Synthesis Babel: Bodies, action and behavior with english labels

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:27:45.681363Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T23:27:43.948822Z digest=sha256:d69152648d3dbd4fae99c893f0805d191488a99f757fd859cb27d50518fea0f6

Observation 1f2469ff-d6d8-417d-bbb7-8ec95f704fde · outbound

This paper cites Learning transferable visual models from natural language supervision.

PlanMoGPT: Flow-Enhanced Progressive Planning for Text to Motion Synthesis Learning transferable visual models from natural language supervision

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-06T23:27:43.968345Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:27:43.968345Z digest=sha256:c6935f1656a67e49758f98ef9b1e16e9741c5a67f430ebd04465bddb4b452cfd

Observation d82057e1-efa5-4331-92ed-b515759d9f69 · outbound

This paper cites U-net: Convolutional networks for biomedical image segmentation.

PlanMoGPT: Flow-Enhanced Progressive Planning for Text to Motion Synthesis U-net: Convolutional networks for biomedical image segmentation

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-06T23:27:44.043467Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:27:44.043467Z digest=sha256:0d17c9dd7f0518d05a4dbb85993de0b39197f5e8f52d706e0bbc71d681d8f3b7

Observation 31529926-e519-4b02-a244-9a8a2030b739 · outbound

This paper cites Human motion diffusion as a generative prior.

PlanMoGPT: Flow-Enhanced Progressive Planning for Text to Motion Synthesis Human motion diffusion as a generative prior

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-06T23:27:44.142452Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:27:44.142452Z digest=sha256:343ee2372d2477cd4e70b16fe63423b85c568cd9ca833b0bc8f2570ace3cb1a6

Observation 9bdc2a60-e9bc-497c-840b-5855fc38fc15 · outbound

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

PlanMoGPT: Flow-Enhanced Progressive Planning for Text to Motion Synthesis Score-Based Generative Modeling through Stochastic Differential Equations

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-06T23:27:44.186577Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:27:44.186577Z digest=sha256:b2c1f8a40e6b04d558af470a6dd6d24fd3369b8aa6989413989507050b1cc1c3

Observation 8bc70c01-ae56-4358-9f5a-7df27e6577ef · outbound

This paper cites Goal: Generating 4d whole-body motion for hand-object grasping.

PlanMoGPT: Flow-Enhanced Progressive Planning for Text to Motion Synthesis Goal: Generating 4d whole-body motion for hand-object grasping

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:27:45.648816Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T23:27:44.318731Z digest=sha256:88bdbece4be5d0b02c76cd4105d45421f8678c98e25d1549b93c344bdfab82f9

Observation d831c7a9-40fb-42f7-8dc7-45d51cdbcd4e · outbound

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

PlanMoGPT: Flow-Enhanced Progressive Planning for Text to Motion Synthesis Motionclip: Exposing human motion generation to clip space

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:27:45.636282Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T23:27:44.431258Z digest=sha256:13d033dfc46d7ebc7c78af74656128db53392b4276570b98be2e4dc3317455b3

Observation b8635515-863b-43b7-b7f6-aa9f4b806f47 · outbound

This paper cites Human motion diffusion model.

PlanMoGPT: Flow-Enhanced Progressive Planning for Text to Motion Synthesis Human motion diffusion model

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-06T23:27:44.557955Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:27:44.557955Z digest=sha256:bf5381f74188a60aed31a0ae3b7d2f0fbf6d9950c9f505fe7ddcc1cd245ac240

Observation 4e695a6a-a812-4826-a7c8-001b8cafed4f · outbound

This paper cites Neural discrete representation learning.Advances in neural information processing systems, 30, 2017.

PlanMoGPT: Flow-Enhanced Progressive Planning for Text to Motion Synthesis Neural discrete representation learning.Advances in neural information processing systems, 30, 2017

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-06T23:27:44.720922Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:27:44.720922Z digest=sha256:0d7c7100d80a6aab2aa038c5ecec3ce478f3c74695f18770e71bb58da46b42d6

Observation 7a406796-3a34-4788-9783-7bbac4e63607 · outbound

This paper cites Scene-aware generative network for human motion synthesis.

PlanMoGPT: Flow-Enhanced Progressive Planning for Text to Motion Synthesis Scene-aware generative network for human motion synthesis

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:27:45.600223Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T23:27:44.891281Z digest=sha256:0eed31b4952dd85bf7feb5f3d0df7bd2d1fa7798837764f65ad9b776eb76086f

Observation 44dab7cc-acd6-4a79-9d92-9c0cb37d0b3f · outbound

This paper cites Exploring the Reasoning Abilities of Multimodal Large Language Models (MLLMs): A Comprehensive Survey on Emerging Trends in Multimodal Reasoning.

PlanMoGPT: Flow-Enhanced Progressive Planning for Text to Motion Synthesis Exploring the Reasoning Abilities of Multimodal Large Language Models (MLLMs): A Comprehensive Survey on Emerging Trends in Multimodal Reasoning

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-06T23:27:45.028067Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:27:45.028067Z digest=sha256:4c32e289f4dcbd16990674b208b6d9c4447bdc06f0c2df35ce9e27d5495375b7

Observation e9c64be4-d6a7-4840-b204-a360bf2d2205 · outbound

This paper cites MotionGPT-2: A General-Purpose Motion-Language Model for Motion Generation and Understanding.

PlanMoGPT: Flow-Enhanced Progressive Planning for Text to Motion Synthesis MotionGPT-2: A General-Purpose Motion-Language Model for Motion Generation and Understanding

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-06T23:27:45.119692Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:27:45.119692Z digest=sha256:d599bf37b2c51a551d64927896c6874650a8e92087561b393815e976d739eab4

Observation 042684c2-8fef-4d0e-9957-3cc89415d60a · outbound

This paper cites Emergent Abilities of Large Language Models.

PlanMoGPT: Flow-Enhanced Progressive Planning for Text to Motion Synthesis Emergent Abilities of Large Language Models

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-06T23:27:45.217350Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:27:45.217350Z digest=sha256:08c69741b01cc69f62987b54159e957517232df4e5af6476d1b36d5ad035ade5

Observation 34dfba78-1941-413e-94be-e7b21e2a4062 · outbound

This paper cites What are diffusion models?lilianweng.

PlanMoGPT: Flow-Enhanced Progressive Planning for Text to Motion Synthesis What are diffusion models?lilianweng

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:27:45.587048Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T23:27:45.241093Z digest=sha256:32fe8c800fb80db79ae8cc2c40ab27bf5809573cd01054450b91fa034ea8088e

Observation 638ead98-4c4a-4941-ad2f-509994d3bf05 · outbound

This paper cites Motion- agent: A conversational framework for human motion generation with LLMs.

PlanMoGPT: Flow-Enhanced Progressive Planning for Text to Motion Synthesis Motion- agent: A conversational framework for human motion generation with LLMs

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:27:45.573623Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T23:27:45.244205Z digest=sha256:44913b45fe802af5a6acb7ac6451fb004ae17a8f07b6cea78907c303534d4603

Observation c74c5ab4-2db8-40c0-aaf3-b51086f03b0d · outbound

This paper cites Saga: Stochastic whole-body grasping with contact.

PlanMoGPT: Flow-Enhanced Progressive Planning for Text to Motion Synthesis Saga: Stochastic whole-body grasping with contact

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:27:45.560929Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T23:27:45.247621Z digest=sha256:008d609963e114d0f3713f746cbd108d2c03dae584bbf4381ec6ee8578a076be

Observation 35a731e4-c5aa-450d-9f43-2249fe1a2292 · outbound

This paper cites Actformer: A gan-based transformer towards general action-conditioned 3d human motion generation.

PlanMoGPT: Flow-Enhanced Progressive Planning for Text to Motion Synthesis Actformer: A gan-based transformer towards general action-conditioned 3d human motion generation

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:27:45.546818Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T23:27:45.250954Z digest=sha256:fb853258e1a790343d95da2b0bf69c83b70d1fc85ba321036367aabed0f21234

Observation 3a5542d0-66f4-4b15-a776-fec27c11f0b1 · outbound

This paper cites Qpgesture: Quantization-based and phase-guided motion matching for natural speech- driven gesture generation.

PlanMoGPT: Flow-Enhanced Progressive Planning for Text to Motion Synthesis Qpgesture: Quantization-based and phase-guided motion matching for natural speech- driven gesture generation

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:27:45.532734Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T23:27:45.253922Z digest=sha256:a905cc65693894a620992088bcb349943a50c424368fe253c085b791d1862a42

Observation 77c05760-ddcd-4ade-84b1-06193add16bd · outbound

This paper cites Structure-aware human- action generation.

PlanMoGPT: Flow-Enhanced Progressive Planning for Text to Motion Synthesis Structure-aware human- action generation

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:27:45.518658Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T23:27:45.257282Z digest=sha256:e5d89a5c1c9e4f69439ff9de25e94a4685bbefedcb8e5603fd31fa039dcc805d

Observation 02036f03-6e50-4726-acf0-08ef561ae583 · outbound

This paper cites SpeechGPT: Empowering Large Language Models with Intrinsic Cross-Modal Conversational Abilities.

PlanMoGPT: Flow-Enhanced Progressive Planning for Text to Motion Synthesis SpeechGPT: Empowering Large Language Models with Intrinsic Cross-Modal Conversational Abilities

Reference 55

Resolution
unresolved
no resolver link, observed 2026-08-06T23:27:45.261034Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:27:45.261034Z digest=sha256:a054defc6da6e534ec5ae1cf700f2fbf889cc15ec2c7b1b4b53dcc1501ba92ae

Observation 1ed6f148-46f4-4da3-b350-93188cca6e25 · outbound

This paper cites T2m-gpt: Generating human motion from textual descriptions with discrete representations.

PlanMoGPT: Flow-Enhanced Progressive Planning for Text to Motion Synthesis T2m-gpt: Generating human motion from textual descriptions with discrete representations

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-06T23:27:45.264481Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:27:45.264481Z digest=sha256:0cd6982084f142d0ad3c89098a6762e6342c18863da6a816be59acb7122fa120

Observation 1534295e-ad2a-41a2-9952-083cc4e500c8 · outbound

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

PlanMoGPT: Flow-Enhanced Progressive Planning for Text to Motion Synthesis MotionDiffuse: Text-Driven Human Motion Generation with Diffusion Model

Reference 57

Resolution
unresolved
no resolver link, observed 2026-08-06T23:27:45.267627Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:27:45.267627Z digest=sha256:7c9f9d138c9f09c93aa2b942ffc92b11c11435ba9c5b314e06108f147a57c8bc

Observation d9d41000-93b0-4a9c-a6cb-628446c0ad75 · outbound

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

PlanMoGPT: Flow-Enhanced Progressive Planning for Text to Motion Synthesis Remodiffuse: Retrieval-augmented motion diffusion model

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:27:45.497864Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T23:27:45.271788Z digest=sha256:5073d9414d87231728afc3c1f0f8451e365c48932aef602d0f2b15f3d4d3e41b

Observation 0452802d-75d5-45c7-838f-1aba360c4ef1 · outbound

This paper cites Finemogen: Fine-grained spatio-temporal motion generation and editing.NeurIPS, 2023.

PlanMoGPT: Flow-Enhanced Progressive Planning for Text to Motion Synthesis Finemogen: Fine-grained spatio-temporal motion generation and editing.NeurIPS, 2023

Reference 59

Resolution
unresolved
no resolver link, observed 2026-08-06T23:27:45.275289Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:27:45.275289Z digest=sha256:9b4a61b664c756d3e046619a715182c31d3860047cc9d475f3b31b2a2fbc89f7

Observation 0b83881c-b5db-45fa-8ec5-3f2e9e434c08 · outbound

This paper cites Tinyllama: An open-source small language model, 2024.

PlanMoGPT: Flow-Enhanced Progressive Planning for Text to Motion Synthesis Tinyllama: An open-source small language model, 2024

Reference 60

Resolution
unresolved
no resolver link, observed 2026-08-06T23:27:45.279431Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:27:45.279431Z digest=sha256:bd57b96a1c3cca648003ce44e3f8b2f63ee1a77741d399aa8c0299f97419ebb5

Observation 7440acb5-c7bb-4952-844e-ea77fc968eba · outbound

This paper cites Large language models as commonsense knowledge for large-scale task planning.Advances in Neural Information Processing Systems, 36:31967– 31987, 2023.

PlanMoGPT: Flow-Enhanced Progressive Planning for Text to Motion Synthesis Large language models as commonsense knowledge for large-scale task planning.Advances in Neural Information Processing Systems, 36:31967– 31987, 2023

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:27:45.470701Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T23:27:45.282495Z digest=sha256:148d27df72725ee7923b6d00e4ed491c47ebda79eff1510ab92d70affd676bf9

Observation e255058e-104e-46f3-92d1-93423f7ee31e · outbound

This paper cites LlamaFactory: Unified Efficient Fine-Tuning of 100+ Language Models.

PlanMoGPT: Flow-Enhanced Progressive Planning for Text to Motion Synthesis LlamaFactory: Unified Efficient Fine-Tuning of 100+ Language Models

Reference 62

Resolution
unresolved
no resolver link, observed 2026-08-06T23:27:45.285511Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:27:45.285511Z digest=sha256:4b7035a44fea959337a75cda8dc54d93d3035fbc0111b6a24738883aae90f3b7

Observation 4aab62f8-9254-4e92-8f11-be20860702c7 · outbound

This paper cites base” for “residual.

PlanMoGPT: Flow-Enhanced Progressive Planning for Text to Motion Synthesis base” for “residual

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:27:45.458664Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T23:27:45.288936Z digest=sha256:75b31212f3b87882985d3d112e9b036f9ace05865cf0a2f971df04c7169d0968

Pith citing papers

Observation bbbe2e75-3a77-4fa9-bc92-ab3620eeb88b · inbound

SentiAvatar: Towards Expressive and Interactive Digital Humans cites this paper.

SentiAvatar: Towards Expressive and Interactive Digital Humans PlanMoGPT: Flow-Enhanced Progressive Planning for Text to Motion Synthesis

Reference 40

Resolution
verified exact
arxiv_id, observed 2026-05-13T20:18:13.204278Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-13T20:16:35.411267Z digest=sha256:d42809d96fb6d37f8fbde46104a9fbc25ea9aca52ab97864bed40120d28bb9c0