Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 24 inbound Pith citation observations for arXiv:2505.11164.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-06T13:49:05.931622Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-04T19:50:11.338513Z
0 of 0 outbound references displayed
External citation measurements
No source-named external measurement is stored.
No outbound reference observations are available for this paper version.
Observation 48bb7fc2-bf32-4ee1-afef-e05f891cabcc · inbound
Humanoid Occupancy: Enabling A Generalized Multimodal Occupancy Perception System on Humanoid Robots Parkour in the Wild: Learning a General and Extensible Agile Locomotion Policy Using Multi-expert Distillation and RL Fine-tuning
Reference 43
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8831231a-5f3c-4738-aa4d-181af8f07c10 · inbound
HERMES: Human-to-Robot Embodied Learning from Multi-Source Motion Data for Mobile Dexterous Manipulation Parkour in the Wild: Learning a General and Extensible Agile Locomotion Policy Using Multi-expert Distillation and RL Fine-tuning
Reference 30
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f9319583-d7fd-4216-b40e-48e121620e32 · inbound
DPL: Depth-only Perceptive Humanoid Locomotion via Realistic Depth Synthesis and Cross-Attention Terrain Reconstruction Parkour in the Wild: Learning a General and Extensible Agile Locomotion Policy Using Multi-expert Distillation and RL Fine-tuning
Reference 5
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6f9be1c1-94cb-4445-81d7-1fcd71cc5c4d · inbound
Isaac Lab: A GPU-Accelerated Simulation Framework for Multi-Modal Robot Learning Parkour in the Wild: Learning a General and Extensible Agile Locomotion Policy Using Multi-expert Distillation and RL Fine-tuning
Reference 86
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 6a0f02e2-b638-45f7-bc13-80bf0ad4f85a · inbound
Perceptive Humanoid Parkour: Chaining Dynamic Human Skills via Motion Matching Parkour in the Wild: Learning a General and Extensible Agile Locomotion Policy Using Multi-expert Distillation and RL Fine-tuning
Reference 33
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation c0bc330c-107c-4f26-92dd-c8264272a6a5 · inbound
Online World Modeling Enables Real-World Inverse Reinforcement Learning from Observation Parkour in the Wild: Learning a General and Extensible Agile Locomotion Policy Using Multi-expert Distillation and RL Fine-tuning
Reference 41
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 40bac118-f639-4527-83f8-ee3365c37184 · inbound
Quadruped Parkour Learning: Sparsely Gated Mixture of Experts with Visual Input Parkour in the Wild: Learning a General and Extensible Agile Locomotion Policy Using Multi-expert Distillation and RL Fine-tuning
Reference 22
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 073be399-a54a-4193-84f2-707a254cd39a · inbound
Evaluation of an Actuated Spine in Agile Quadruped Locomotion Parkour in the Wild: Learning a General and Extensible Agile Locomotion Policy Using Multi-expert Distillation and RL Fine-tuning
Reference 11
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation ba4a9c46-eae0-4771-8e14-c1e697e94233 · inbound
roto 2.0: The Robot Tactile Olympiad Parkour in the Wild: Learning a General and Extensible Agile Locomotion Policy Using Multi-expert Distillation and RL Fine-tuning
Reference 1
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation b82c0896-b318-4a2a-91b7-e5a47d825542 · inbound
Efficient On-policy Visual-RL via Stochastic Decoupled Policy Gradient Parkour in the Wild: Learning a General and Extensible Agile Locomotion Policy Using Multi-expert Distillation and RL Fine-tuning
Reference 12
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 6656f8c3-d883-4c4b-b463-f1b1681dfcff · inbound
SSR: Scaling Surefooted and Symmetric Humanoid Traversal to the Open World Parkour in the Wild: Learning a General and Extensible Agile Locomotion Policy Using Multi-expert Distillation and RL Fine-tuning
Reference 26
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 3b1a3024-d6f0-4fc5-9c3d-5182eabd64ca · inbound
CoRe-MoE: Contrastive Reweighted Mixture of Experts for Multi-Terrain Humanoid Locomotion with Gait Adaptation Parkour in the Wild: Learning a General and Extensible Agile Locomotion Policy Using Multi-expert Distillation and RL Fine-tuning
Reference 29
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation a1717206-431a-44b7-a2c7-ca7143b694c5 · inbound
LadderMan: Learning Humanoid Perceptive Ladder Climbing Parkour in the Wild: Learning a General and Extensible Agile Locomotion Policy Using Multi-expert Distillation and RL Fine-tuning
Reference 39
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 92e407e8-b3c3-43eb-ab27-756945063146 · inbound
TAGA: Terrain-aware Active Gaze Learning for Generalizable Agile Humanoid Locomotion Parkour in the Wild: Learning a General and Extensible Agile Locomotion Policy Using Multi-expert Distillation and RL Fine-tuning
Reference 30
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation f35f84b9-26ef-4246-9578-0f770cbc4af8 · inbound
HumanoidArena: Benchmarking Egocentric Hierarchical Whole-body Learning Parkour in the Wild: Learning a General and Extensible Agile Locomotion Policy Using Multi-expert Distillation and RL Fine-tuning
Reference 31
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation a7264f61-11a6-4701-941f-49c7584d8060 · inbound
SWAP: Symmetric Equivariant World-Model for Agile Robot Parkour Parkour in the Wild: Learning a General and Extensible Agile Locomotion Policy Using Multi-expert Distillation and RL Fine-tuning
Reference 10
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation f6953792-0d08-4b74-b3e7-913cc1d6654f · inbound
StairMaster: Learning to Conquer Risky Hollow Stairs for Agile Quadrupedal Robots Parkour in the Wild: Learning a General and Extensible Agile Locomotion Policy Using Multi-expert Distillation and RL Fine-tuning
Reference 10
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation e6217da8-8f69-4f40-a4d9-147f9d21fb97 · inbound
StairMaster: Learning to Conquer Risky Hollow Stairs for Agile Quadrupedal Robots Parkour in the Wild: Learning a General and Extensible Agile Locomotion Policy Using Multi-expert Distillation and RL Fine-tuning
Reference 10
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 75f6c521-c955-4199-ac94-e701a2213616 · inbound
Learning Locomotion on Discrete Terrain via Minimal Proximity Sensing Parkour in the Wild: Learning a General and Extensible Agile Locomotion Policy Using Multi-expert Distillation and RL Fine-tuning
Reference 10
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 67f65685-3310-4d7b-8310-92fe15bc72c0 · inbound
Learning Locomotion on Discrete Terrain via Minimal Proximity Sensing Parkour in the Wild: Learning a General and Extensible Agile Locomotion Policy Using Multi-expert Distillation and RL Fine-tuning
Reference 10
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 9fa7bc2d-d012-44f7-b8da-d86be24b4552 · inbound
EgoHTR: Egocentric 4D Demonstrations of Human Terrain Traversal Parkour in the Wild: Learning a General and Extensible Agile Locomotion Policy Using Multi-expert Distillation and RL Fine-tuning
Reference 2
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e0e83cf6-b8e0-4787-a9f0-55eec97589d0 · inbound
Extreme-RGMT: Continual Learning of Highly Dynamic Skills for Robust Generalist Humanoid Control Parkour in the Wild: Learning a General and Extensible Agile Locomotion Policy Using Multi-expert Distillation and RL Fine-tuning
Reference 22
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fbe3a2df-ca82-4311-955f-a1be726f7fa6 · inbound
Continual-RL for Generalization in Autonomous Racing on the RoboRacer Platform Parkour in the Wild: Learning a General and Extensible Agile Locomotion Policy Using Multi-expert Distillation and RL Fine-tuning
Reference 17
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 75a53b56-9e12-4c5f-ae9a-46a2fb5b9d1b · inbound
Light-Loco-Parkour: Versatile Perceptive Whole-Body Locomotion via Multi-Skill Distillation Parkour in the Wild: Learning a General and Extensible Agile Locomotion Policy Using Multi-expert Distillation and RL Fine-tuning
Reference 13
Source-reported events for the cited work
Unavailable: canonical work link unavailable.