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Paper Citation Record · LEDGER

Navigating Occluded Intersections with Autonomous Vehicles using Deep Reinforcement Learning

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1705.01196.

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

pith.paper-citation-record.v1
1705.01196 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 2026-08-13T06:32:02.005865+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T17:48:03.920884Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T23:49:16.151878Z

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 0b2073e1-463e-4568-918f-34c7920c1868 · inbound

An End-to-End Collaborative Learning Approach for Connected Autonomous Vehicles in Occluded Scenarios cites this paper.

An End-to-End Collaborative Learning Approach for Connected Autonomous Vehicles in Occluded Scenarios Navigating Occluded Intersections with Autonomous Vehicles using Deep Reinforcement Learning

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-11T17:48:03.920884Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T17:48:03.920884Z digest=sha256:b38366943470459fe9003a4cb3b03e74b634f03a3aec1509dc65eecf8eedf234

Observation df52118b-0f50-4af1-b9f2-511523201f97 · inbound

Goal-conditioned Hierarchical Reinforcement Learning for Sample-efficient and Safe Autonomous Driving at Intersections cites this paper.

Goal-conditioned Hierarchical Reinforcement Learning for Sample-efficient and Safe Autonomous Driving at Intersections Navigating Occluded Intersections with Autonomous Vehicles using Deep Reinforcement Learning

Reference 7

Resolution
verified exact
local_arxiv, observed 2026-08-06T23:49:16.254374Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-06T23:49:10.825859Z digest=sha256:c9380e9c27dae6b9ecf48987e12ba0a26777e173846b2d3d037e3bf68e30e74a