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Paper Citation Record · LEDGER

A Survey of Deep Learning Techniques for Autonomous Driving

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1910.07738.

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

pith.paper-citation-record.v1
1910.07738 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 2026-08-17T06:30:58.91139+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T05:21:36.597747Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-08T19:02:30.906226Z

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 c5a69dd6-7fd8-4aec-bb86-8b1ad57fa306 · 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 A Survey of Deep Learning Techniques for Autonomous Driving

Reference 2

Resolution
verified exact
local_arxiv, observed 2026-08-08T19:02:30.911299Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-08T19:02:30.482913Z digest=sha256:2ef0078f66e59e4a04a608f031f8302145bb0b7f9434138e763f7732f823bb4f

Observation f060d174-d1a1-41e2-8730-b530d95ccd1e · inbound

Scenario-based Compositional Verification of Autonomous Systems with Neural Perception cites this paper.

Scenario-based Compositional Verification of Autonomous Systems with Neural Perception A Survey of Deep Learning Techniques for Autonomous Driving

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-16T05:21:36.597747Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:21:36.597747Z digest=sha256:5b4a0e6cdeb972cfde792586cb0c2d900146fe5ec0c622f01f391d8ce6e294c9