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Paper Citation Record · LEDGER

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

As of 7 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 2026-08-07T06:34:17.273281+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:a3a7396f00a14a4e2d3e56601a5c83806f7e9a7bc7e753c26cf21071650e90dd

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=pdf_text observed=2026-08-06T23:27:40.884564Z digest=sha256:eb388f35eae532086a512907a0f87704f8c96266b3fc2aa7ade287305e51cb55

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

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source=pdf_text observed=2026-08-06T23:27:40.953922Z digest=sha256:34df78ffbc88bd365f76edfb61af4e98482f9adce92d95735317d04a965e826f

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T23:27:41.030977Z digest=sha256:59d892422f6e98879d35750b3824760649f379a100d138b3ef61a41b4673370a

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:c443cb0d01acf0e8b57ebb4ed23760b609d636f43c036777c0816bd1cd944705

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T23:27:41.177602Z digest=sha256:699057a1c1e8e78eb751e1d3667fdd85e45c2aedd7a0af6926ef2329d9e80614

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T23:27:41.269465Z digest=sha256:f89ec264bca51a912f705ca2d5d552258b1e9580f8dbd0a5a4e948b28c3e86c4

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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Source-reported events for the cited work

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source=pdf_text observed=2026-08-06T23:27:41.329444Z digest=sha256:a7dbb48c91399c788535f1c80f90a6df8dedcca3d15a061451ea89fdc565c765

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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source=pdf_text observed=2026-08-06T23:27:41.368660Z digest=sha256:1c0ed2cc1dc6c0774cbc178736d2f496fb3235c1419b6e1897b2ddba877018ba

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T23:27:41.450727Z digest=sha256:3948d1a00cd3371c0629c7030ff758c1377a378ed22c4f331da144694224c60c

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T23:27:41.496393Z digest=sha256:541d28cf3097d5481ff3ac1c4e9f708029c64afb6e2d4091e1f751fd159fdbcb

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

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source=pdf_text observed=2026-08-06T23:27:41.563826Z digest=sha256:abc7c732a52e420fac7c963680198a12b48fb1cec3163f95a4ae325770cf6076

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

Source-reported events for the cited work

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source=pdf_text observed=2026-08-06T23:27:41.655390Z digest=sha256:ff4ed37e1ee9e137658e0bcf4e119b10336c628fe725d7f96c57cce2363cc2b2

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

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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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T23:27:41.746624Z digest=sha256:a3e6e3b711eb020c1d92e970a7fa8fd2a20698c80de89ecc45879903d9b2d4fd

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=sha256:9fbe09cad4f103cbfed04c5785a1e0a3ef543ad547082645303df668472ab660

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T23:27:41.897057Z digest=sha256:09a6f38be737b72286864bd5a722d3ab646a9df5ab5a9f7f0e5d7973b49d51d4

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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Source-reported events for the cited work

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source=pdf_text observed=2026-08-06T23:27:42.014387Z digest=sha256:1c787e5f802f5927c8bdb8d1a9904468f44bf9faba4ecf46cfa5ef025f410cfc

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

Resolution
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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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T23:27:42.112072Z digest=sha256:7124709d258b599c4fb8d82d4a6ce43eaed1fdcc881bb437b7d949be802e12da

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:d0a69020cab59c0889a6f24469e32a8f1565b82e0784ebe914038d0f1e4bdfda

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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:27:42.307504Z digest=sha256:a53bcf77145a11d0c6db9397500db0fe641f68c39c2ebb45624c15c772b7e371

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

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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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T23:27:42.414811Z digest=sha256:92f0f08238dd1cecb6ef3e8e88a9460cddbb61761d2d0709726d1e3d4d5a6b04

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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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:27:42.495149Z digest=sha256:5853baa0e2b55c51f6fb916acf582bb2ff17a1825b9582585cf317e788bb0101

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T23:27:42.550917Z digest=sha256:793fda8a508c8f26af105f5a24558aa9ebeee23bd442c1ff1fb73202605bad81

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T23:27:42.689624Z digest=sha256:38166218756097bcf5b2dc9657ab75a12f292af1d4698da8172a14e67b5dd7f2

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

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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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T23:27:42.736779Z digest=sha256:bb204229616eb7623d24a2bab87de93c2451012cd3ba26a433dcb1b488e59d34

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T23:27:42.856241Z digest=sha256:eab7813ae7f4754c3182891514103ea6913083fb5bd8f6465358e9695e064f24

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=sha256:619f3cc9acf9df4296f396661242f87627e97a75bc2eb8a3ac1374d9b7d6df43

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=sha256:9d5d9a958f87002e2a9912f0aa9b747bd2bc0aa1bb56dcd3f3fb719806fa0fbf

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=sha256:85f13b0a260183e6bbee8cca9a25a07da1e81ddff2d66f48731bec95c9114276

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:bcb50961e260eac8034aa1665715d71b8ab8f01402e1c04676014110c45da80d

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T23:27:43.370490Z digest=sha256:4978cceeb2430fe6f22bb2f18e7168ef1031060d66165f32009393f8e9f0427d

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:f15576dafdf373f5c1f3e7bf15f88b630a24823d97f537b62f5eddc9c43b4375

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T23:27:43.571777Z digest=sha256:f3f84a33b4c44935d7edc41aa3554daeba0f6bac33e42953af4937fb49381fce

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T23:27:43.675630Z digest=sha256:df624c524ae03a7ec9fddeb13c32f79c76c6a19cb5a2b78ddc12516bca720649

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T23:27:43.787534Z digest=sha256:a85fff2b45fa4fba299156cf5d1ea8323653e7410af853ff892dccff532845a7

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T23:27:43.948822Z digest=sha256:e2f024ffaffd53b0319b605db08e7c831c59e8d71ea6840f5eedce89684ec0bf

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:a45cffe1e7b2cbb9ae7a40d0e1b327cb05e64bbf4f5268c8197113230efe896a

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:c1c234f93571913ee01e19e219011241f31ff697475cf358061c4c4d6ae28890

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=sha256:86cd2654d854cb757d0a8b9a31970f6a3a7d7057ae8089a2f54229320b8aec5f

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:d5179227f6ccd66ce0d439c3630e9fd840f85743e011f27fa4965351539428bd

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T23:27:44.318731Z digest=sha256:63b146b814dd29fd8bd828354bd8a752273a13905b254083c4713a41a07b5916

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T23:27:44.431258Z digest=sha256:d6ae27d2e4995235a8371175911205c02af1b8592e3ff9530703c70050959137

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=sha256:801c488722fa22531046d60ab454d74bbafd815be7ce7b58e0a94b028e6695b7

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=sha256:66598aaf1f201c8f3ec04990f3373c3919b8c7c6bd6fd65581861c89d35b8fae

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T23:27:44.891281Z digest=sha256:8321ac04b23fa6083a2bbf5efd778a5d66b89b2cfe0c7179c40a1aebccf69b73

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:b22aaa42443fed0136357628803cd39f04df0bc8056a784f7fc3f722000db1ed

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:f5a045e77f21bcd81e6146ba1cdbb356fbc83af73fe9b6c71633f03ad1a0e223

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:a6345b7c3ca40f3d6a17e323194abfedf7a03741abe8d14e498e8a0429785f25

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T23:27:45.241093Z digest=sha256:3c92abdbbd437558b99b578287578242c7cad09816f1f976f591ea2048c6b277

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T23:27:45.244205Z digest=sha256:05695995ba276be4cfe3dd2cc52d660569a5de76e231c923f9213b2be0b41c1a

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T23:27:45.247621Z digest=sha256:927684378598b1067f13de10c58b68c0f1c778d157e81e525ca1f29b86dd7052

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T23:27:45.250954Z digest=sha256:8977e9e50c0cdc8e4ac92de385d16dd59aa2de2f0e191e3d43644a78acba534b

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T23:27:45.253922Z digest=sha256:6a79b0015558356166664f7fa8399cba97c9cb4b9da533b6aedc036009dca93f

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T23:27:45.257282Z digest=sha256:39813e0dca88dc2211c2c29e3e17410678305b08f08d327f5b314778fc8906a5

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=sha256:7de4c8546738c9eb834b9132e04f30720d049326164454b7d8c1f2d37831865f

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=sha256:8931b95b756d5b39ea72a7c7d107aee00350d72dd5ae2273bd1a8ab5615f549c

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=sha256:8e3eb9866af4bc1b9fae0320a0f7ae0ebf5968e199e11cc9e082acd731ef6bbf

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T23:27:45.271788Z digest=sha256:322cd3bb099c92011e4d5f1d2f2a6ca62dcebc957a601a97901ccff561bd6817

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=sha256:3c3b8c6d1cb8dc95c88c75b67f6e63d09b9f0daec866736cba92694266e0921d

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=sha256:595caf6b8d142fca7489abeb3af934308dd0c8a3a1d757f1b47171003bb086ea

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T23:27:45.282495Z digest=sha256:950d523853012a4c714d327d6ab5c9e7216c0e3644356e69cb2b27690c126f65

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=sha256:71b10ad64a7cb955ecc947392b2eee972f3a6152ad72f72151adbb6c1b42c4ee

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T23:27:45.288936Z digest=sha256:c0ea1f1fdf247b979d8212dda38cbca6b05eaf91f7a25cd72626e851f71a41a1

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-13T20:16:35.411267Z digest=sha256:3967dde1d5ecd02959a8aeb64c70ed97b0fee8b2ae2adb35c202e651f303cb99