Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Grow Your Limits: Continuous Improvement with Real-World RL for Robotic Locomotion
As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2310.17634.
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 2026-08-16T06:30:59.297886+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-15T23:02:50.966211Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-10T05:30:23.456663Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
0
pith, observed 2026-08-10T05:30:23.456663Z
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation 610dc8a4-c5f1-469d-afef-85eca535cd04 · inbound
Real Time Control of Tandem-Wing Experimental Platform Using Concerto Reinforcement Learning cites this paper.
Real Time Control of Tandem-Wing Experimental Platform Using Concerto Reinforcement Learning Grow Your Limits: Continuous Improvement with Real-World RL for Robotic Locomotion
Reference 16
- Resolution
- verified exact
- local_arxiv, observed 2026-08-08T19:28:41.489466Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 03e18da9-1860-44e9-9e6d-59b40f79308a · inbound
Towards Embodiment Scaling Laws in Robot Locomotion cites this paper.
Towards Embodiment Scaling Laws in Robot Locomotion Grow Your Limits: Continuous Improvement with Real-World RL for Robotic Locomotion
Reference 79
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T23:02:50.966211Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 247a93df-ba07-4820-b7e1-182055958d70 · inbound
Robot Trains Robot: Automatic Real-World Policy Adaptation and Learning for Humanoids cites this paper.
Robot Trains Robot: Automatic Real-World Policy Adaptation and Learning for Humanoids Grow Your Limits: Continuous Improvement with Real-World RL for Robotic Locomotion
Reference 50
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T17:30:47.422280Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.