Paper Citation Record · LEDGER

Automated Driving with Evolution Capability: A Reinforcement Learning Method with Monotonic Performance Enhancement

As of 12 August 2026, this Paper Citation Record lists 6 of 6 outbound references and 1 inbound Pith citation observation for arXiv:2412.10822.

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

pith.paper-citation-record.v1
2412.10822 v1

Coverage vector

measured 6 of 6 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T15:40:41.209608Z

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-17T02:38:27.178243Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-17T02:38:53.766511Z

Reference resolution

6 of 6 outbound references displayed

verified exact0
verified fuzzy4
unresolved2
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 75a085ad-5c6f-4a00-b48b-b746fb36489d · outbound

This paper cites Transportation Research Record 1999(1), 86-94.

Automated Driving with Evolution Capability: A Reinforcement Learning Method with Monotonic Performance Enhancement Transportation Research Record 1999(1), 86-94

Reference 2007

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:40:41.294283Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation bc9c5f7a-6682-411c-a02f-0c0ce0fcdd58 · outbound

This paper cites Proximal Policy Optimization Algorithms.

Automated Driving with Evolution Capability: A Reinforcement Learning Method with Monotonic Performance Enhancement Proximal Policy Optimization Algorithms

Reference 2017

Resolution: unresolved; no resolver link, observed 2026-08-11T15:40:41.209608Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7e0b0e61-691b-4cad-8d7e-712723d65a66 · outbound

This paper cites IEEE, pp.

Automated Driving with Evolution Capability: A Reinforcement Learning Method with Monotonic Performance Enhancement IEEE, pp

Reference 2018

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:40:41.311112Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 44fa7758-ec71-4f1d-a802-611039243b21 · outbound

This paper cites IEEE, pp.

Automated Driving with Evolution Capability: A Reinforcement Learning Method with Monotonic Performance Enhancement IEEE, pp

Reference 2019

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:40:41.274866Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation eff42da2-13c9-45bb-a871-56598747269b · outbound

This paper cites IEEE, pp.

Automated Driving with Evolution Capability: A Reinforcement Learning Method with Monotonic Performance Enhancement IEEE, pp

Reference 2020

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:40:41.327079Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 904a7ced-b784-4e91-9685-111cab13331b · outbound

This paper cites Efficient Learning of Safe Driving Policy via Human-AI Copilot Optimization.

Automated Driving with Evolution Capability: A Reinforcement Learning Method with Monotonic Performance Enhancement Efficient Learning of Safe Driving Policy via Human-AI Copilot Optimization

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-11T15:40:41.198683Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation f90e5d89-d3c8-484a-a82e-fece9b795eee · inbound

MPCFormer: A physics-informed data-driven approach for explainable socially-aware autonomous driving cites this paper.

MPCFormer: A physics-informed data-driven approach for explainable socially-aware autonomous driving Automated Driving with Evolution Capability: A Reinforcement Learning Method with Monotonic Performance Enhancement

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-05-17T02:38:53.769025Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.