Paper Citation Record · LEDGER

Plan, Don't Pose: Long Composite Motion Generation with Text-Aligned BFM

As of 21 August 2026, this Paper Citation Record lists 46 of 46 outbound references and 0 inbound Pith citation observations for arXiv:2605.29906.

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

pith.paper-citation-record.v1
2605.29906 v2

Coverage vector

measured 46 of 46 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-29T08:51:14.809528Z

measured 46 of 46 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

46 of 46 outbound references displayed

verified exact6
verified fuzzy0
unresolved39
parse uncertain0
malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d4c7c361-2297-4881-b5d0-e9ce388f2bf5 · outbound

This paper cites Proto successor measure: Representing the behavior space of an RL agent.

Plan, Don't Pose: Long Composite Motion Generation with Text-Aligned BFM Proto successor measure: Representing the behavior space of an RL agent

Reference 1

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Source-reported events for the cited work

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Observation 8b37bf88-c354-4047-ad81-83033470b2da · outbound

This paper cites Language2pose: Natural language grounded pose forecasting.

Plan, Don't Pose: Long Composite Motion Generation with Text-Aligned BFM Language2pose: Natural language grounded pose forecasting

Reference 2

Resolution: unresolved; no resolver link, observed 2026-06-29T08:51:14.809528Z

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Observation 4fd2424a-de61-420b-84f0-6e359a0087e9 · outbound

This paper cites Albergo, Nicholas M.

Plan, Don't Pose: Long Composite Motion Generation with Text-Aligned BFM Albergo, Nicholas M

Reference 3

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Observation a0b1fd44-eb27-4125-b283-847cfd22b2ab · outbound

This paper cites Hunt, Tom Schaul, Hado van Hasselt, and David Silver.

Plan, Don't Pose: Long Composite Motion Generation with Text-Aligned BFM Hunt, Tom Schaul, Hado van Hasselt, and David Silver

Reference 4

Resolution: unresolved; no resolver link, observed 2026-06-29T08:51:14.809528Z

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Observation 2329491f-01f8-4d0e-8440-266a531305c8 · outbound

This paper cites Learning Successor States and Goal-Dependent Values: A Mathematical Viewpoint.

Plan, Don't Pose: Long Composite Motion Generation with Text-Aligned BFM Learning Successor States and Goal-Dependent Values: A Mathematical Viewpoint

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-06-29T08:53:15.706839Z

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Observation 2f0141d7-701d-4662-8c67-7717ee0b45d2 · outbound

This paper cites an unresolved cited work.

Plan, Don't Pose: Long Composite Motion Generation with Text-Aligned BFM Unresolved cited work

Reference 6

Resolution: unresolved; no resolver link, observed 2026-06-29T08:51:14.809528Z

Source-reported events for the cited work

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Observation 611169fb-e77e-478b-9dbf-198ca6b3a1ff · outbound

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

Plan, Don't Pose: Long Composite Motion Generation with Text-Aligned BFM Executing your commands via motion diffusion in latent space

Reference 7

Resolution: unresolved; no resolver link, observed 2026-06-29T08:51:14.809528Z

Source-reported events for the cited work

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Observation 9ac5b6f1-f015-4a06-a13e-6aa576c800b7 · outbound

This paper cites Improving generalization for temporal difference learning: The successor repre- sentation.Neural Computation, 5(4):613–624, 1993.

Plan, Don't Pose: Long Composite Motion Generation with Text-Aligned BFM Improving generalization for temporal difference learning: The successor repre- sentation.Neural Computation, 5(4):613–624, 1993

Reference 8

Resolution: unresolved; no resolver link, observed 2026-06-29T08:51:14.809528Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 81700a59-671e-4409-8776-abbd1a5ea818 · outbound

This paper cites Go to zero: Towards zero-shot motion generation with million-scale data.

Plan, Don't Pose: Long Composite Motion Generation with Text-Aligned BFM Go to zero: Towards zero-shot motion generation with million-scale data

Reference 9

Resolution: unresolved; no resolver link, observed 2026-06-29T08:51:14.809528Z

Source-reported events for the cited work

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Observation c9b60be9-1d6d-4cb8-ba78-970e9b61992e · outbound

This paper cites Syn- thesis of compositional animations from textual descriptions.

Plan, Don't Pose: Long Composite Motion Generation with Text-Aligned BFM Syn- thesis of compositional animations from textual descriptions

Reference 10

Resolution: unresolved; no resolver link, observed 2026-06-29T08:51:14.809528Z

Source-reported events for the cited work

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Observation 86a045ed-17ae-4adc-9f2e-3b9dc66c3c92 · outbound

This paper cites Hu- manML3D: A large and diverse 3d human motion-language dataset.

Plan, Don't Pose: Long Composite Motion Generation with Text-Aligned BFM Hu- manML3D: A large and diverse 3d human motion-language dataset

Reference 11

Resolution: unresolved; no resolver link, observed 2026-06-29T08:51:14.809528Z

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Unavailable: canonical work link unavailable.

Observation fedba014-27b2-43bc-9601-8a2b5ea482ce · outbound

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

Plan, Don't Pose: Long Composite Motion Generation with Text-Aligned BFM Tm2t: Stochastic and tokenized modeling for the reciprocal generation of 3d human motions and texts

Reference 12

Resolution: unresolved; no resolver link, observed 2026-06-29T08:51:14.809528Z

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Observation 1eb36bd5-c8f4-4e95-8b14-a6f0d66a93ba · outbound

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

Plan, Don't Pose: Long Composite Motion Generation with Text-Aligned BFM Momask: Generative masked modeling of 3d human motions

Reference 13

Resolution: unresolved; no resolver link, observed 2026-06-29T08:51:14.809528Z

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Observation eeabe171-0010-409b-8e88-c9121a585b6b · outbound

This paper cites Kingma and Max Welling.

Plan, Don't Pose: Long Composite Motion Generation with Text-Aligned BFM Kingma and Max Welling

Reference 14

Resolution: unresolved; no resolver link, observed 2026-06-29T08:51:14.809528Z

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Observation a3c0b16b-79ce-40c7-9276-85cf2abfd5a2 · outbound

This paper cites BFM-zero: A promptable behavioral foundation model for humanoid control using unsupervised reinforcement learning.

Plan, Don't Pose: Long Composite Motion Generation with Text-Aligned BFM BFM-zero: A promptable behavioral foundation model for humanoid control using unsupervised reinforcement learning

Reference 15

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Observation e9adb9cb-4daf-41a2-a3c9-33792a5ca88f · outbound

This paper cites VersatileMotion: A Unified Framework for Motion Synthesis and Comprehension.

Plan, Don't Pose: Long Composite Motion Generation with Text-Aligned BFM VersatileMotion: A Unified Framework for Motion Synthesis and Comprehension

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-06-29T08:53:15.719398Z

Source-reported events for the cited work

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Observation e1d50daa-5364-4e29-8202-8c9d68c2ee16 · outbound

This paper cites Flow Matching for Generative Modeling.

Plan, Don't Pose: Long Composite Motion Generation with Text-Aligned BFM Flow Matching for Generative Modeling

Reference 17

Resolution: verified exact; local_arxiv, observed 2026-06-29T08:53:15.713273Z

Source-reported events for the cited work

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Observation c26f0eeb-b8ca-4d61-92a8-03cd457a56f8 · outbound

This paper cites Flow straight and fast: Learning to generate and transfer data with rectified flow.

Plan, Don't Pose: Long Composite Motion Generation with Text-Aligned BFM Flow straight and fast: Learning to generate and transfer data with rectified flow

Reference 18

Resolution: unresolved; no resolver link, observed 2026-06-29T08:51:14.809528Z

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Observation 003e2502-00a8-473c-b0f6-3b33dfc6b476 · outbound

This paper cites Perpetual humanoid control for real-time simulated avatars.

Plan, Don't Pose: Long Composite Motion Generation with Text-Aligned BFM Perpetual humanoid control for real-time simulated avatars

Reference 19

Resolution: unresolved; no resolver link, observed 2026-06-29T08:51:14.809528Z

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Observation 2bb20b0c-2755-4bcb-ab78-5916b4bbdfe2 · outbound

This paper cites Hierarchical motion generation with diffusion transformers.

Plan, Don't Pose: Long Composite Motion Generation with Text-Aligned BFM Hierarchical motion generation with diffusion transformers

Reference 20

Resolution: unresolved; no resolver link, observed 2026-06-29T08:51:14.809528Z

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Observation f01486fa-4b35-4e99-8ad2-66dac7036016 · outbound

This paper cites Troje, Gerard Pons-Moll, and Michael J.

Plan, Don't Pose: Long Composite Motion Generation with Text-Aligned BFM Troje, Gerard Pons-Moll, and Michael J

Reference 21

Resolution: unresolved; no resolver link, observed 2026-06-29T08:51:14.809528Z

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Observation 80e1aea0-ce49-4c1b-b82c-32c18a119631 · outbound

This paper cites GenDeF: Learning Generative Deformation Field for Video Generation.

Plan, Don't Pose: Long Composite Motion Generation with Text-Aligned BFM GenDeF: Learning Generative Deformation Field for Video Generation

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-06-29T08:53:15.722701Z

Source-reported events for the cited work

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Observation f015d779-3b7b-446f-a1eb-006ca65a01f4 · outbound

This paper cites Scalable diffusion models with transformers.

Plan, Don't Pose: Long Composite Motion Generation with Text-Aligned BFM Scalable diffusion models with transformers

Reference 23

Resolution: unresolved; no resolver link, observed 2026-06-29T08:51:14.809528Z

Source-reported events for the cited work

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Observation 02fc8b74-b9de-4b1e-95e6-fbbca6535af4 · outbound

This paper cites AMP: Adversarial motion priors for stylized physics-based character control.ACM Transactions on Graphics, 40 (4):144:1–144:20, 2021.

Plan, Don't Pose: Long Composite Motion Generation with Text-Aligned BFM AMP: Adversarial motion priors for stylized physics-based character control.ACM Transactions on Graphics, 40 (4):144:1–144:20, 2021

Reference 24

Resolution: unresolved; no resolver link, observed 2026-06-29T08:51:14.809528Z

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Observation d37f1363-c132-4abd-a5c4-55262760fa07 · outbound

This paper cites ASE: Large-scale reusable adversarial skill embeddings for physically simulated characters.ACM Transactions on Graphics, 41(4):94:1–94:17, 2022.

Plan, Don't Pose: Long Composite Motion Generation with Text-Aligned BFM ASE: Large-scale reusable adversarial skill embeddings for physically simulated characters.ACM Transactions on Graphics, 41(4):94:1–94:17, 2022

Reference 25

Resolution: unresolved; no resolver link, observed 2026-06-29T08:51:14.809528Z

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Observation 8edcc417-2630-4b94-9697-7d7a6c26fe4e · outbound

This paper cites Black, and Gül Varol.

Plan, Don't Pose: Long Composite Motion Generation with Text-Aligned BFM Black, and Gül Varol

Reference 26

Resolution: unresolved; no resolver link, observed 2026-06-29T08:51:14.809528Z

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Observation c9b6a31e-adcc-461a-bd9e-36f4223324f5 · outbound

This paper cites Black, and Gül Varol.

Plan, Don't Pose: Long Composite Motion Generation with Text-Aligned BFM Black, and Gül Varol

Reference 27

Resolution: unresolved; no resolver link, observed 2026-06-29T08:51:14.809528Z

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Observation 7da14b6c-0f83-4478-abd6-a45f5a9ea850 · outbound

This paper cites Big Data 4(4), 236–252 (Dec 2016).https://doi.org/10.1089/big.2016.0028,http:// dx.doi.org/10.1089/big.2016.00284.

Plan, Don't Pose: Long Composite Motion Generation with Text-Aligned BFM Big Data 4(4), 236–252 (Dec 2016).https://doi.org/10.1089/big.2016.0028,http:// dx.doi.org/10.1089/big.2016.00284

Reference 28

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Observation 0e1038ec-c7ae-44d7-8b9b-3cfc0f0a4de8 · outbound

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

Plan, Don't Pose: Long Composite Motion Generation with Text-Aligned BFM Learning transferable visual models from natural language supervision

Reference 29

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Observation f00cb3e9-8504-45cd-831e-1ebbcfa500b0 · outbound

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Plan, Don't Pose: Long Composite Motion Generation with Text-Aligned BFM Unresolved cited work

Reference 30

Resolution: unresolved; no resolver link, observed 2026-06-29T08:51:14.809528Z

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Observation 8040e4d9-3209-4456-8480-e9260efba135 · outbound

This paper cites arXiv preprint arXiv:2603.15546 , year=.

Plan, Don't Pose: Long Composite Motion Generation with Text-Aligned BFM arXiv preprint arXiv:2603.15546 , year=

Reference 31

Resolution: verified exact; arxiv_id, observed 2026-06-29T08:53:15.710838Z

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Observation 6e743144-0c7c-495c-9a61-fe92dd3693f9 · outbound

This paper cites Stochastic backpropagation and approximate inference in deep generative models.

Plan, Don't Pose: Long Composite Motion Generation with Text-Aligned BFM Stochastic backpropagation and approximate inference in deep generative models

Reference 32

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Observation 9b6a15ee-3024-4664-83b5-915396778327 · outbound

This paper cites RL zero: Zero-shot language to behaviors without any supervision.

Plan, Don't Pose: Long Composite Motion Generation with Text-Aligned BFM RL zero: Zero-shot language to behaviors without any supervision

Reference 33

Resolution: unresolved; no resolver link, observed 2026-06-29T08:51:14.809528Z

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Observation 3f716e78-69d6-4431-9fbb-bbe64fbcd330 · outbound

This paper cites an unresolved cited work.

Plan, Don't Pose: Long Composite Motion Generation with Text-Aligned BFM Unresolved cited work

Reference 34

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Observation bd7a0bf7-2e14-4575-a857-ad11d75b5e0d · outbound

This paper cites CALM: Conditional adversarial latent models for directable virtual characters.

Plan, Don't Pose: Long Composite Motion Generation with Text-Aligned BFM CALM: Conditional adversarial latent models for directable virtual characters

Reference 35

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Observation 3916df0f-b817-4eca-b019-3fef375dbf76 · outbound

This paper cites Bermano, and Daniel Cohen-Or.

Plan, Don't Pose: Long Composite Motion Generation with Text-Aligned BFM Bermano, and Daniel Cohen-Or

Reference 36

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Observation 89662ca6-ec7c-44a8-96dd-fad0e2e89519 · outbound

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Plan, Don't Pose: Long Composite Motion Generation with Text-Aligned BFM Unresolved cited work

Reference 37

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Observation 4568a341-f67d-4bf2-9a5f-4aad6deb6b14 · outbound

This paper cites Zero-shot whole-body humanoid control via behavioral foundation models.

Plan, Don't Pose: Long Composite Motion Generation with Text-Aligned BFM Zero-shot whole-body humanoid control via behavioral foundation models

Reference 38

Resolution: unresolved; no resolver link, observed 2026-06-29T08:51:14.809528Z

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Observation dce0e029-c75b-46fe-a7ba-fc845742751b · outbound

This paper cites Learning one representation to optimize all rewards.

Plan, Don't Pose: Long Composite Motion Generation with Text-Aligned BFM Learning one representation to optimize all rewards

Reference 39

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Observation 415e2c6b-60a1-4394-a529-cba808728a92 · outbound

This paper cites Does zero-shot reinforcement learning exist? InThe Eleventh International Conference on Learning Representations, 2023.

Plan, Don't Pose: Long Composite Motion Generation with Text-Aligned BFM Does zero-shot reinforcement learning exist? InThe Eleventh International Conference on Learning Representations, 2023

Reference 40

Resolution: unresolved; no resolver link, observed 2026-06-29T08:51:14.809528Z

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Observation d27275c6-220e-49f3-8a12-fff75fc8c83a · outbound

This paper cites arXiv preprint arXiv:2512.23464 , year=.

Plan, Don't Pose: Long Composite Motion Generation with Text-Aligned BFM arXiv preprint arXiv:2512.23464 , year=

Reference 41

Resolution: verified exact; arxiv_id, observed 2026-06-29T08:53:15.716544Z

Source-reported events for the cited work

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Observation 5feb1113-5f3a-491e-a4b8-ee19c641aa2d · outbound

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

Plan, Don't Pose: Long Composite Motion Generation with Text-Aligned BFM PhysDiff: Physics-guided human motion diffusion model

Reference 42

Resolution: unresolved; no resolver link, observed 2026-06-29T08:51:14.809528Z

Source-reported events for the cited work

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Observation 8ada9fc8-196d-4cfd-a100-10448011e0c3 · outbound

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

Plan, Don't Pose: Long Composite Motion Generation with Text-Aligned BFM Generating human motion from textual descriptions with discrete representations

Reference 43

Resolution: unresolved; no resolver link, observed 2026-06-29T08:51:14.809528Z

Source-reported events for the cited work

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Observation 7d7186b8-8869-45f7-b205-24fed0e0d72f · outbound

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

Plan, Don't Pose: Long Composite Motion Generation with Text-Aligned BFM MotionDiffuse: Text-driven human motion generation with diffusion model

Reference 44

Resolution: unresolved; no resolver link, observed 2026-06-29T08:51:14.809528Z

Source-reported events for the cited work

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Observation 80166a8d-27dd-4086-a87e-538b4a10bf42 · outbound

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

Plan, Don't Pose: Long Composite Motion Generation with Text-Aligned BFM Remodiffuse: Retrieval-augmented motion diffusion model

Reference 45

Resolution: unresolved; no resolver link, observed 2026-06-29T08:51:14.809528Z

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Observation 7feb71d4-5ede-43c1-bc41-9e8276c407c9 · outbound

This paper cites Stage 2: Text-to-latent generator .A pretrained FB backbone is adapted to predict latent mo- tion sequences conditioned on text.

Plan, Don't Pose: Long Composite Motion Generation with Text-Aligned BFM Stage 2: Text-to-latent generator .A pretrained FB backbone is adapted to predict latent mo- tion sequences conditioned on text

Reference 46

Resolution: unresolved; no resolver link, observed 2026-06-29T08:51:14.809528Z

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Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.