Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2310.10486.
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 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T15:12:00.612336Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-21T07:39:49.279091Z
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 18385afe-379b-40f0-b56a-7b248e1778d4 · inbound
Reference Free Platform Adaptive Locomotion for Quadrupedal Robots using a Dynamics Conditioned Policy ManyQuadrupeds: Learning a Single Locomotion Policy for Diverse Quadruped Robots
Reference 16
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1b8a8fec-00ba-451a-b4e7-9ee3e909f8ab · inbound
Sampling Strategies for Robust Universal Quadrupedal Locomotion Policies ManyQuadrupeds: Learning a Single Locomotion Policy for Diverse Quadruped Robots
Reference 25
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c9bd3d23-4cb4-4e24-aecd-b6344ac363a0 · inbound
Toward Hardware-Agnostic Quadrupedal World Models via Morphology Conditioning ManyQuadrupeds: Learning a Single Locomotion Policy for Diverse Quadruped Robots
Reference 61
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation e79be75f-f147-4202-8663-ca32deed856e · inbound
ARC-RL: A Reinforcement Learning Playground Inspired by ARC Raiders ManyQuadrupeds: Learning a Single Locomotion Policy for Diverse Quadruped Robots
Reference 27
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 87fdf7c0-897b-4f39-ad5b-04c22dbbb50d · inbound
ARC-RL: A Reinforcement Learning Playground Inspired by ARC Raiders ManyQuadrupeds: Learning a Single Locomotion Policy for Diverse Quadruped Robots
Reference 27
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.