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Paper Citation Record · LEDGER

Key Safety Design Overview in AI-driven Autonomous Vehicles

As of 23 August 2026, this Paper Citation Record lists 2 of 2 outbound references and 3 inbound Pith citation observations for arXiv:2412.08862.

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

pith.paper-citation-record.v1
2412.08862 v1

Coverage vector

measured 2 of 2 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T17:32:13.362437Z

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-17T23:32:23.036776Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-17T23:35:31.606658Z

Reference resolution

2 of 2 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved1
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 6d95ad13-1518-4bca-9585-15e43102fd45 · outbound

This paper cites Autonomous Driving with Deep Learning: A Survey of State-of-Art Technologies.

Key Safety Design Overview in AI-driven Autonomous Vehicles Autonomous Driving with Deep Learning: A Survey of State-of-Art Technologies

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-11T17:32:13.355221Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T17:32:13.355221Z digest=sha256:6d60a04a1a71f78a2a3f9f111f65ce89aac7f449943d682e5f27562f321cf072

Observation 395b3a97-110c-4e7f-89f8-59ad3d9250e3 · outbound

This paper cites Why and How to Balance Alignment and Diversity of Requirements Engineering Practices in Automotive.

Key Safety Design Overview in AI-driven Autonomous Vehicles Why and How to Balance Alignment and Diversity of Requirements Engineering Practices in Automotive

Reference 6

Resolution
metadata mismatch
local_arxiv, observed 2026-08-11T17:32:13.416434Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-11T17:32:13.362437Z digest=sha256:3b4883f6a67dfcd51ad6ce6240f193acb7db8c00f0a2f9a100a6a580ed593908

Pith citing papers

Observation 7b5677b7-8090-493e-a6bd-00bf3b2ebd47 · inbound

Dataset Safety in Autonomous Driving: Requirements, Risks, and Assurance cites this paper.

Dataset Safety in Autonomous Driving: Requirements, Risks, and Assurance Key Safety Design Overview in AI-driven Autonomous Vehicles

Reference 48

Resolution
verified exact
arxiv_id, observed 2026-05-17T23:35:31.609099Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-17T23:32:23.036776Z digest=sha256:89b1b4c2afee6df7f08eb8ca19819464f5fc393c07080fca44335a211f285a84

Observation 2b85bf7c-73e6-4511-b845-5c96878df38f · inbound

RISC-V Functional Safety for Autonomous Automotive Systems: An Analytical Framework and Research Roadmap for ML-Assisted Certification cites this paper.

RISC-V Functional Safety for Autonomous Automotive Systems: An Analytical Framework and Research Roadmap for ML-Assisted Certification Key Safety Design Overview in AI-driven Autonomous Vehicles

Reference 1

Resolution
verified exact
arxiv_id, observed 2026-05-10T05:46:09.830115Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-10T05:46:04.174479Z digest=sha256:2d2d212854a1c243583d16aad2bfef89580b54e292e4edd74f04d46b4e6fb7c6

Observation 6789a0e4-48f0-4ec8-b7d2-e5050cbcdbd4 · inbound

Active Inference: A method for Phenotyping Agency in AI systems? cites this paper.

Active Inference: A method for Phenotyping Agency in AI systems? Key Safety Design Overview in AI-driven Autonomous Vehicles

Reference 8

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T20:46:12.605261Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-08T08:06:12.689488Z digest=sha256:911f0b26d3097f48213b16476ae0aebbc395bfae692da092f922c2f79b61bebe