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Paper Citation Record · LEDGER

Path Planning using Neural A* Search

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2009.07476.

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

pith.paper-citation-record.v1
2009.07476 v3

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 2026-08-08T19:02:30.542700Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T06:06:41.130843Z

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 f7d1408d-2c30-42e8-b6fd-8c70f8ae22fa · inbound

Towards Learning Scalable Agile Dynamic Motion Planning for Robosoccer Teams with Policy Optimization cites this paper.

Towards Learning Scalable Agile Dynamic Motion Planning for Robosoccer Teams with Policy Optimization Path Planning using Neural A* Search

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-08T19:02:30.542700Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T19:02:30.542700Z digest=sha256:8ee7b7eba953d3fb15266b27346990b02134e9f096ac486077e72e2340cc9f6c

Observation 74483690-721e-4719-8ce6-41453ef9d0be · inbound

Learning Empirically Admissible Neural Heuristics for Combinatorial Search cites this paper.

Learning Empirically Admissible Neural Heuristics for Combinatorial Search Path Planning using Neural A* Search

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-07-02T06:06:41.132374Z

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=2026-06-28T07:42:49.206487Z digest=sha256:e29097544efc4bef946f5eecabc75d113573e88c66d13d985528ef822724c13f