Pith. sign in

Paper Citation Record · LEDGER

Motion Planning Networks

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1806.05767.

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

pith.paper-citation-record.v1
1806.05767 v2

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 2026-08-09T06:31:02.800959+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-30T12:55:53.596581Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-03T10:37:57.280385Z

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 44e2bcff-4993-4d73-9bed-ea6ed24f9228 · inbound

Sum of Costs Diffusion with Dynamic Guidance for Motion Planning cites this paper.

Sum of Costs Diffusion with Dynamic Guidance for Motion Planning Motion Planning Networks

Reference 4

Resolution
verified exact
local_arxiv, observed 2026-06-30T13:14:41.223704Z

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=2026-06-30T12:55:53.596581Z digest=sha256:c034e15e9596e7c46437dac073626d110ad326caaf7e79363122f4454dadd0e1

Observation 49422c95-5ba6-41d9-ba93-de358c10e6fd · inbound

Ambient Diffusion Policy: Imitation Learning from Suboptimal Data in Robotics cites this paper.

Ambient Diffusion Policy: Imitation Learning from Suboptimal Data in Robotics Motion Planning Networks

Reference 71

Resolution
verified exact
local_arxiv, observed 2026-07-03T10:37:57.281518Z

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=2026-06-27T09:52:38.167538Z digest=sha256:ebf9139bf376b220bdd49a87c18ac8aa974efe25a9fa1500acd4ee8f2ea64528