Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Natural and Robust Walking using Reinforcement Learning without Demonstrations in High-Dimensional Musculoskeletal Models
As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2309.02976.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-12T15:03:41.686406Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-15T12:20:00.684159Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation a4b9e443-3abe-416d-ab1c-98fd7323eaa8 · inbound
Personalised 3D Human Digital Twin with Soft-Body Feet for Walking Simulation cites this paper.
Personalised 3D Human Digital Twin with Soft-Body Feet for Walking Simulation Natural and Robust Walking using Reinforcement Learning without Demonstrations in High-Dimensional Musculoskeletal Models
Reference 20
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T15:03:41.686406Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1ba6e6a3-2429-4245-b00e-3eab43ea3af3 · inbound
Learning Speed-Adaptive Walking Agent Using Imitation Learning with Physics-Informed Simulation cites this paper.
Learning Speed-Adaptive Walking Agent Using Imitation Learning with Physics-Informed Simulation Natural and Robust Walking using Reinforcement Learning without Demonstrations in High-Dimensional Musculoskeletal Models
Reference 33
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T21:58:43.082667Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation de554ce6-cd31-4147-8299-ba1129506979 · inbound
FastDSAC: Unlocking the Potential of Maximum Entropy RL in High-Dimensional Humanoid Control cites this paper.
FastDSAC: Unlocking the Potential of Maximum Entropy RL in High-Dimensional Humanoid Control Natural and Robust Walking using Reinforcement Learning without Demonstrations in High-Dimensional Musculoskeletal Models
Reference 17
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T12:20:00.686900Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.