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Paper Citation Record · LEDGER

Learning a Decentralized Multi-arm Motion Planner

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2011.02608.

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

pith.paper-citation-record.v1
2011.02608 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T05:38:11.771481Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-08-05T05:38:14.400941Z

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 d7738a3c-623b-4af6-9a03-71224d2df48d · inbound

RoboBallet: Planning for Multi-Robot Reaching with Graph Neural Networks and Reinforcement Learning cites this paper.

RoboBallet: Planning for Multi-Robot Reaching with Graph Neural Networks and Reinforcement Learning Learning a Decentralized Multi-arm Motion Planner

Reference 12

Resolution
verified exact
local_arxiv, observed 2026-08-05T05:38:14.504559Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T05:38:11.771481Z digest=sha256:14bc286aefc7e062053e81ab384df367375344dcde6e8807a5a45b91e2fc80f9

Observation 70347f6e-64ce-4a9b-bf63-bef91cd53410 · inbound

Manifold-constrained Hamilton-Jacobi Reachability Learning for Decentralized Multi-Agent Motion Planning cites this paper.

Manifold-constrained Hamilton-Jacobi Reachability Learning for Decentralized Multi-Agent Motion Planning Learning a Decentralized Multi-arm Motion Planner

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-03T23:58:32.147366Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T23:58:32.147366Z digest=sha256:4519c52837d4fb5c4d60cca44c2bd0fa9d69d0043a5e6e44ef979543d50b3850

Observation 28a2a753-abe3-4be3-9381-d5d22031a6ed · inbound

Embodying Multi-Hand Manipulation Policies by Searching the Assignment and Null Spaces cites this paper.

Embodying Multi-Hand Manipulation Policies by Searching the Assignment and Null Spaces Learning a Decentralized Multi-arm Motion Planner

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-01T06:09:36.509457Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T06:09:36.509457Z digest=sha256:fc2886fe5ead80d6358cc7f544992a60061a88b00dbc0661f26b96d80c3b831f