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Paper Citation Record · LEDGER

Learning to enhance multi-legged robot on rugged landscapes

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2409.09473.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2409.09473 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T19:40:22.882012Z

measured 0 of 1 external citation measurements

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 d980d6d7-2fc8-4135-8e82-488b52fc5baf · inbound

Robust control for multi-legged elongate robots in noisy environments cites this paper.

Robust control for multi-legged elongate robots in noisy environments Learning to enhance multi-legged robot on rugged landscapes

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-15T19:40:22.882012Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T19:40:22.882012Z digest=sha256:4ac640192e406b44c19a313bb94f79ff13add44545358b97ae30978ab27bb31f

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-06-26T20:45:44.072738Z digest=sha256:e83ef607ffd6f3d773e980cb29166a598a113cc1f960f6a4b7878dee63d7dd87