Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
HiFAR: Multi-Stage Curriculum Learning for High-Dynamics Humanoid Fall Recovery
As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2502.20061.
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 2026-08-23T06:30:58.430688+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-15T19:45:00.910611Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-20T09:08:10.107162Z
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 411b925d-69ae-4af6-acd3-a1c06ee052b4 · inbound
Booster Gym: An End-to-End Reinforcement Learning Framework for Humanoid Robot Locomotion cites this paper.
Booster Gym: An End-to-End Reinforcement Learning Framework for Humanoid Robot Locomotion HiFAR: Multi-Stage Curriculum Learning for High-Dynamics Humanoid Fall Recovery
Reference 3
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T19:45:00.910611Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8fd3da47-6d4b-4001-b206-4c52c7033bb5 · inbound
A Survey: Learning Embodied Intelligence from Physical Simulators and World Models cites this paper.
A Survey: Learning Embodied Intelligence from Physical Simulators and World Models HiFAR: Multi-Stage Curriculum Learning for High-Dynamics Humanoid Fall Recovery
Reference 102
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T21:08:58.107601Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 60ddf891-93fa-4920-b5f1-b8da9f74d98d · inbound
Unified Walking, Running, and Recovery for Humanoids via State-Dependent Adversarial Motion Priors cites this paper.
Unified Walking, Running, and Recovery for Humanoids via State-Dependent Adversarial Motion Priors HiFAR: Multi-Stage Curriculum Learning for High-Dynamics Humanoid Fall Recovery
Reference 4
- Resolution
- verified exact
- arxiv_id, observed 2026-05-20T09:08:10.108704Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.