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Paper Citation Record · LEDGER

The NVIDIA PilotNet Experiments

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2010.08776.

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

pith.paper-citation-record.v1
2010.08776 v1

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 2026-08-08T06:32:00.761636+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T00:31:53.245924Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T22:51:23.246223Z

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 6cd8a4eb-8434-4e35-afbc-2b2fb329dcfd · inbound

VLM-VPI: A Vision-Language Reasoning Framework for Improving Automated Vehicle-Pedestrian Interactions cites this paper.

VLM-VPI: A Vision-Language Reasoning Framework for Improving Automated Vehicle-Pedestrian Interactions The NVIDIA PilotNet Experiments

Reference 4

Resolution
verified exact
arxiv_id, observed 2026-05-11T22:51:23.249124Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-08T02:18:56.169218Z digest=sha256:271d6cf32a3a70197bccadbfe06d2ae479efd22520b7b7b41ea291c18348b29d

Observation 0e22f280-fd70-4909-a7a5-c1d30b1d40e4 · inbound

PRISM: Privileged Probabilistic Latent Supervision for End-to-End Autonomous Driving Motion Planning cites this paper.

PRISM: Privileged Probabilistic Latent Supervision for End-to-End Autonomous Driving Motion Planning The NVIDIA PilotNet Experiments

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-06T00:31:53.245924Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T00:31:53.245924Z digest=sha256:053b0e5262dee1ca39844207be14d1aca0bdac899ebbec51a1320a7dacf53beb