Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Learning to enhance multi-legged robot on rugged landscapes
As of 21 July 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2409.09473.
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 2026-07-21T06:31:05.380196+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-06-26T20:45:44.072738Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-04T00:59:21.070001Z
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 7495bcbc-dd60-4d85-8449-127bf164a6ad · inbound
Simulating Robotic Locomotion in Sand: Resistive Force Theory in an Open-Source Physics Engine cites this paper.
Simulating Robotic Locomotion in Sand: Resistive Force Theory in an Open-Source Physics Engine Learning to enhance multi-legged robot on rugged landscapes
Reference 77
- Resolution
- verified exact
- arxiv_id, observed 2026-07-04T00:59:21.072861Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.