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Paper Citation Record · LEDGER

Realizing Text-Driven Motion Generation on NAO Robot: A Reinforcement Learning-Optimized Control Pipeline

As of 8 August 2026, this Paper Citation Record lists 33 of 33 outbound references and 1 inbound Pith citation observation for arXiv:2506.05117.

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

pith.paper-citation-record.v1
2506.05117 v1

Coverage vector

measured 33 of 33 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T10:31:10.421231Z

measured 34 of 34 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 2026-06-26T17:31:57.953120Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T03:49:31.250972Z

Reference resolution

33 of 33 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 97be1953-ba14-4e07-9d04-cbba7ad3c551 · outbound

This paper cites Real-time imitation of human whole-body motions by humanoids,.

Realizing Text-Driven Motion Generation on NAO Robot: A Reinforcement Learning-Optimized Control Pipeline Real-time imitation of human whole-body motions by humanoids,

Reference 1

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation d65a1ec7-333d-41e4-b854-cb86acf90f6f · outbound

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

Realizing Text-Driven Motion Generation on NAO Robot: A Reinforcement Learning-Optimized Control Pipeline Motionclip: Exposing human motion generation to clip space,

Reference 2

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Observation f12b84ff-8aea-41f2-9db1-7233e5876ee4 · outbound

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

Realizing Text-Driven Motion Generation on NAO Robot: A Reinforcement Learning-Optimized Control Pipeline MotionDiffuse: Text-Driven Human Motion Generation with Diffusion Model

Reference 4

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Observation f974f02f-0b23-422e-a74a-6674e17d92a9 · outbound

This paper cites Hybrik: A hybrid analytical-neural inverse kinematics solution for 3d human pose and shape estimation,.

Realizing Text-Driven Motion Generation on NAO Robot: A Reinforcement Learning-Optimized Control Pipeline Hybrik: A hybrid analytical-neural inverse kinematics solution for 3d human pose and shape estimation,

Reference 5

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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.

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Observation ce9dd031-2521-48ae-8553-da50aab8d83c · outbound

This paper cites Learning Human-to-Humanoid Real-Time Whole-Body Teleoperation.

Realizing Text-Driven Motion Generation on NAO Robot: A Reinforcement Learning-Optimized Control Pipeline Learning Human-to-Humanoid Real-Time Whole-Body Teleoperation

Reference 6

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Observation 55303aea-4f78-4fc2-827d-2def4e95085f · outbound

This paper cites Inverse kinemat- ics of a nao humanoid robot using kinect to track and imitate human motion,.

Realizing Text-Driven Motion Generation on NAO Robot: A Reinforcement Learning-Optimized Control Pipeline Inverse kinemat- ics of a nao humanoid robot using kinect to track and imitate human motion,

Reference 7

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Source-reported events for the cited work

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Observation dd9adec3-5fd6-4a87-8d83-2a1680206e4f · outbound

This paper cites Adaptive whole-body manipulation in human-to-humanoid multi-contact motion retargeting,.

Realizing Text-Driven Motion Generation on NAO Robot: A Reinforcement Learning-Optimized Control Pipeline Adaptive whole-body manipulation in human-to-humanoid multi-contact motion retargeting,

Reference 8

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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.

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Observation 10610073-8ed3-418a-a598-cc6ace69f091 · outbound

This paper cites Adherent: Learning human-like trajectory generators for whole-body control of humanoid robots,.

Realizing Text-Driven Motion Generation on NAO Robot: A Reinforcement Learning-Optimized Control Pipeline Adherent: Learning human-like trajectory generators for whole-body control of humanoid robots,

Reference 9

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Source-reported events for the cited work

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Observation 80da2375-698e-485c-a700-b951af9a0941 · outbound

This paper cites Human motion retargeting to pepper humanoid robot from uncalibrated videos using human pose estimation,.

Realizing Text-Driven Motion Generation on NAO Robot: A Reinforcement Learning-Optimized Control Pipeline Human motion retargeting to pepper humanoid robot from uncalibrated videos using human pose estimation,

Reference 10

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Source-reported events for the cited work

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Observation 904dbc89-ad5e-4d48-a7f1-6f84b1b4dd69 · outbound

This paper cites Learning stable nonlinear dynamical systems with gaussian mixture models,.

Realizing Text-Driven Motion Generation on NAO Robot: A Reinforcement Learning-Optimized Control Pipeline Learning stable nonlinear dynamical systems with gaussian mixture models,

Reference 11

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Observation 841a5c62-3cb4-4c21-8e51-f29924a403a1 · outbound

This paper cites A deep learning framework for character motion synthesis and editing,.

Realizing Text-Driven Motion Generation on NAO Robot: A Reinforcement Learning-Optimized Control Pipeline A deep learning framework for character motion synthesis and editing,

Reference 12

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Observation 53605916-1185-4caa-91f7-a3f96679cac2 · outbound

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

Realizing Text-Driven Motion Generation on NAO Robot: A Reinforcement Learning-Optimized Control Pipeline Action2motion: Conditioned generation of 3d human motions,

Reference 13

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Observation 61dce543-76a1-4505-836f-637df3acbd4e · outbound

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

Realizing Text-Driven Motion Generation on NAO Robot: A Reinforcement Learning-Optimized Control Pipeline Action-conditioned 3d human motion synthesis with transformer vae,

Reference 14

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Observation d2a5808b-178d-4112-8ead-4084c85663d5 · outbound

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

Realizing Text-Driven Motion Generation on NAO Robot: A Reinforcement Learning-Optimized Control Pipeline Generating diverse and natural 3d human motions from text,

Reference 15

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unresolved
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Unavailable: canonical work link unavailable.

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Observation 3767a6a2-c452-48d9-b216-3343d9743609 · outbound

This paper cites Learning diverse stochastic human-action generators by learning smooth latent transitions,.

Realizing Text-Driven Motion Generation on NAO Robot: A Reinforcement Learning-Optimized Control Pipeline Learning diverse stochastic human-action generators by learning smooth latent transitions,

Reference 16

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Source-reported events for the cited work

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Observation 54782d54-5478-4a20-874f-390661d9339b · outbound

This paper cites Deep video generation, prediction and completion of human action sequences,.

Realizing Text-Driven Motion Generation on NAO Robot: A Reinforcement Learning-Optimized Control Pipeline Deep video generation, prediction and completion of human action sequences,

Reference 17

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Source-reported events for the cited work

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Observation ba86e0c2-7e4b-4ecc-bf86-55712b417c46 · outbound

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

Realizing Text-Driven Motion Generation on NAO Robot: A Reinforcement Learning-Optimized Control Pipeline Executing your commands via motion diffusion in latent space,

Reference 18

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Observation c50d1d4f-f430-4252-8408-e6ef8c18c76f · outbound

This paper cites Act As You Wish: Fine-Grained Control of Motion Diffusion Model with Hierarchical Semantic Graphs.

Realizing Text-Driven Motion Generation on NAO Robot: A Reinforcement Learning-Optimized Control Pipeline Act As You Wish: Fine-Grained Control of Motion Diffusion Model with Hierarchical Semantic Graphs

Reference 19

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Source-reported events for the cited work

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Observation 919b7de0-64b9-463b-a41e-70f0eb0adff4 · outbound

This paper cites Human motion diffusion model,.

Realizing Text-Driven Motion Generation on NAO Robot: A Reinforcement Learning-Optimized Control Pipeline Human motion diffusion model,

Reference 20

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 285d0964-52d3-4ef8-8b3d-2c674fd7eb6e · outbound

This paper cites Priority-centric human motion generation in discrete latent space,.

Realizing Text-Driven Motion Generation on NAO Robot: A Reinforcement Learning-Optimized Control Pipeline Priority-centric human motion generation in discrete latent space,

Reference 21

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 9ccf3e13-8612-4a38-8877-e93d03ecf01d · outbound

This paper cites Efficient Text-driven Motion Generation via Latent Consistency Training.

Realizing Text-Driven Motion Generation on NAO Robot: A Reinforcement Learning-Optimized Control Pipeline Efficient Text-driven Motion Generation via Latent Consistency Training

Reference 22

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Observation 391b9a3f-90b6-4997-9df3-fecd44106602 · outbound

This paper cites Deepmimic: Example-guided deep reinforcement learning of physics-based char- acter skills,.

Realizing Text-Driven Motion Generation on NAO Robot: A Reinforcement Learning-Optimized Control Pipeline Deepmimic: Example-guided deep reinforcement learning of physics-based char- acter skills,

Reference 23

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Observation 2354f395-aa58-4e94-ad43-05add60c8b24 · outbound

This paper cites Sim-to-Real: Learning Agile Locomotion For Quadruped Robots.

Realizing Text-Driven Motion Generation on NAO Robot: A Reinforcement Learning-Optimized Control Pipeline Sim-to-Real: Learning Agile Locomotion For Quadruped Robots

Reference 24

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Observation b6816326-67a8-40c3-a3e9-cb15e96c8e9a · outbound

This paper cites Ai-cpg: Adaptive imitated central pattern generators for bipedal locomotion learned through reinforced reflex neural networks,.

Realizing Text-Driven Motion Generation on NAO Robot: A Reinforcement Learning-Optimized Control Pipeline Ai-cpg: Adaptive imitated central pattern generators for bipedal locomotion learned through reinforced reflex neural networks,

Reference 25

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Source-reported events for the cited work

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Observation c11eab99-8a74-4f3d-8680-a9e6535b0d85 · outbound

This paper cites Robust feed- back motion policy design using reinforcement learning on a 3d digit bipedal robot,.

Realizing Text-Driven Motion Generation on NAO Robot: A Reinforcement Learning-Optimized Control Pipeline Robust feed- back motion policy design using reinforcement learning on a 3d digit bipedal robot,

Reference 26

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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.

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Observation 73d95dbc-5039-4665-b016-7938cc142be4 · outbound

This paper cites Impedance learning-based adaptive force tracking for robot on unknown terrains,.

Realizing Text-Driven Motion Generation on NAO Robot: A Reinforcement Learning-Optimized Control Pipeline Impedance learning-based adaptive force tracking for robot on unknown terrains,

Reference 27

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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.

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Observation 2b591e6a-1805-4b44-b5fb-9221cdd46c3b · outbound

This paper cites Sim-to-real transfer in deep reinforcement learning for robotics: a survey,.

Realizing Text-Driven Motion Generation on NAO Robot: A Reinforcement Learning-Optimized Control Pipeline Sim-to-real transfer in deep reinforcement learning for robotics: a survey,

Reference 28

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation a0d064ec-4f58-4ca4-a91d-37c222dd7c60 · outbound

This paper cites Learning agile and dynamic motor skills for legged robots,.

Realizing Text-Driven Motion Generation on NAO Robot: A Reinforcement Learning-Optimized Control Pipeline Learning agile and dynamic motor skills for legged robots,

Reference 29

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Observation b999b370-2cb9-4f87-bc90-c6626e196db8 · outbound

This paper cites Orbit: A unified simulation framework for interactive robot learning environments,.

Realizing Text-Driven Motion Generation on NAO Robot: A Reinforcement Learning-Optimized Control Pipeline Orbit: A unified simulation framework for interactive robot learning environments,

Reference 30

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Observation f4b5bc79-3fff-41cc-a240-e04674f26f93 · outbound

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

Realizing Text-Driven Motion Generation on NAO Robot: A Reinforcement Learning-Optimized Control Pipeline Generating diverse and natural 3d human motions from text,

Reference 31

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation d38d967a-0b2b-4750-aa83-06da518541e0 · outbound

This paper cites Smpl: A skinned multi-person linear model,.

Realizing Text-Driven Motion Generation on NAO Robot: A Reinforcement Learning-Optimized Control Pipeline Smpl: A skinned multi-person linear model,

Reference 32

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Observation 8b6d5117-d5a5-4384-8416-239baa7d75be · outbound

This paper cites Proximal Policy Optimization Algorithms.

Realizing Text-Driven Motion Generation on NAO Robot: A Reinforcement Learning-Optimized Control Pipeline Proximal Policy Optimization Algorithms

Reference 33

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Observation 96e1578b-7c03-411a-9823-71ee77e19bca · outbound

This paper cites An efficient orientation filter for inertial and inertial/magnetic sensor arrays,.

Realizing Text-Driven Motion Generation on NAO Robot: A Reinforcement Learning-Optimized Control Pipeline An efficient orientation filter for inertial and inertial/magnetic sensor arrays,

Reference 34

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Pith citing papers

Observation d64b8824-8a89-40c3-9eb3-544f960be133 · inbound

PhysDrift: Bridging the Embodiment Gap in Humanoid Co-Speech Motion Generation cites this paper.

PhysDrift: Bridging the Embodiment Gap in Humanoid Co-Speech Motion Generation Realizing Text-Driven Motion Generation on NAO Robot: A Reinforcement Learning-Optimized Control Pipeline

Reference 32

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arxiv_id, observed 2026-07-04T03:49:31.252765Z

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=2026-06-26T17:31:57.953120Z digest=sha256:4d4b677e2790d42eb1360ef44c91b95bd57d32efbab8f94b2c47f05f2f115db3