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Paper Citation Record · LEDGER

Reinforcement Learning for Testing Interdependent Requirements in Autonomous Vehicles: An Empirical Study

As of 4 August 2026, this Paper Citation Record lists 53 of 53 outbound references and 1 inbound Pith citation observation for arXiv:2502.15792.

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

pith.paper-citation-record.v1
2502.15792 v2

Coverage vector

measured 53 of 53 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-23T02:34:44.729248Z

measured 54 of 54 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-09T18:53:15.076775Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-05-11T16:01:21.917244Z

Reference resolution

53 of 53 outbound references displayed

  • verified exact2
  • verified fuzzy49
  • unresolved2
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 363ef4e9-549c-49ad-bf8a-e3ff6e840a6e · outbound

This paper cites Finding critical scenarios for automated driving systems: A systematic mapping study.

Reinforcement Learning for Testing Interdependent Requirements in Autonomous Vehicles: An Empirical Study Finding critical scenarios for automated driving systems: A systematic mapping study

Reference 1

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation a6c73588-5893-4ce5-8728-9949ab30479a · outbound

This paper cites A survey on safety-critical driving scenario generation—a methodological perspective.

Reinforcement Learning for Testing Interdependent Requirements in Autonomous Vehicles: An Empirical Study A survey on safety-critical driving scenario generation—a methodological perspective

Reference 2

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation 5d694ba8-cdbc-4797-a7cd-bf2bf0d55dea · outbound

This paper cites Mind the gap! a study on the transferability of virtual versus physical-world testing of autonomous driving systems.

Reinforcement Learning for Testing Interdependent Requirements in Autonomous Vehicles: An Empirical Study Mind the gap! a study on the transferability of virtual versus physical-world testing of autonomous driving systems

Reference 3

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation 45eb3a54-11d0-4f04-8e8a-570ff77308c3 · outbound

This paper cites Model vs system level testing of autonomous driving systems: a replication and extension study.

Reinforcement Learning for Testing Interdependent Requirements in Autonomous Vehicles: An Empirical Study Model vs system level testing of autonomous driving systems: a replication and extension study

Reference 4

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-23T02:34:44.729248Z digest=sha256:a396c781e7f1dbf30f04b2db26854638c95b0f5eec09b7f1665bfc4795503734

Observation 7c016a9e-55ed-4754-9350-18e24407cb77 · outbound

This paper cites Machine learning testing in an adas case study using simulation-integrated bio-inspired search-based testing.

Reinforcement Learning for Testing Interdependent Requirements in Autonomous Vehicles: An Empirical Study Machine learning testing in an adas case study using simulation-integrated bio-inspired search-based testing

Reference 5

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verified fuzzy
raw_fallback, observed 2026-05-23T02:35:20.248052Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-23T02:34:44.729248Z digest=sha256:6ac0589dbd77bfc9dd91f0d32266c785d6faa3673bba3bde73dc1fd8bb726f08

Observation 2a677814-0f2c-4e54-b847-f8596c929a49 · outbound

This paper cites Identifying and explaining safety-critical scenarios for autonomous vehicles via key features.

Reinforcement Learning for Testing Interdependent Requirements in Autonomous Vehicles: An Empirical Study Identifying and explaining safety-critical scenarios for autonomous vehicles via key features

Reference 6

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verified fuzzy
raw_fallback, observed 2026-05-23T02:35:20.244415Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-23T02:34:44.729248Z digest=sha256:cdfcfdf18c43073f654cc4584df8ef48010103b15eb647062102f18890dbec68

Observation 65ba2f08-ab38-4ff0-8e15-601f83b87e51 · outbound

This paper cites Pafot: A position-based approach for finding optimal tests of autonomous vehicles.

Reinforcement Learning for Testing Interdependent Requirements in Autonomous Vehicles: An Empirical Study Pafot: A position-based approach for finding optimal tests of autonomous vehicles

Reference 7

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verified fuzzy
raw_fallback, observed 2026-05-23T02:35:20.240981Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-23T02:34:44.729248Z digest=sha256:e54093cfcd004ecf13d0443b4c109696e8230c3d75aeeb31a901650a0d3e40e6

Observation 24a1b926-47d6-4d3e-a0cc-7d1979d0270f · outbound

This paper cites Carla: An open urban driving simulator.

Reinforcement Learning for Testing Interdependent Requirements in Autonomous Vehicles: An Empirical Study Carla: An open urban driving simulator

Reference 8

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verified fuzzy
raw_fallback, observed 2026-05-23T02:35:20.237410Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-23T02:34:44.729248Z digest=sha256:4cb6bfb1b51020b4188f71f50e0719bd705c86abf1b59fa19142ac78acc3abee

Observation 48baa52f-307e-4d0f-956b-c038055b3b1a · outbound

This paper cites Neural network guided evolutionary fuzzing for finding traffic violations of autonomous vehicles.

Reinforcement Learning for Testing Interdependent Requirements in Autonomous Vehicles: An Empirical Study Neural network guided evolutionary fuzzing for finding traffic violations of autonomous vehicles

Reference 9

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raw_fallback, observed 2026-05-23T02:35:20.233760Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation fde40447-6d4d-403d-b437-9a0155d0e6a3 · outbound

This paper cites Epitester: Testing autonomous vehicles with epigenetic algorithm and attention mechanism.

Reinforcement Learning for Testing Interdependent Requirements in Autonomous Vehicles: An Empirical Study Epitester: Testing autonomous vehicles with epigenetic algorithm and attention mechanism

Reference 10

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation 22daead1-c03d-46c2-bd35-27512eabeba8 · outbound

This paper cites scenorita: Generating diverse, fully mutable, test scenarios for autonomous vehicle planning.

Reinforcement Learning for Testing Interdependent Requirements in Autonomous Vehicles: An Empirical Study scenorita: Generating diverse, fully mutable, test scenarios for autonomous vehicle planning

Reference 11

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verified fuzzy
raw_fallback, observed 2026-05-23T02:35:20.141409Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation c05b7973-058a-4850-8c44-ae080b163d40 · outbound

This paper cites Specification-based autonomous driving system testing.

Reinforcement Learning for Testing Interdependent Requirements in Autonomous Vehicles: An Empirical Study Specification-based autonomous driving system testing

Reference 12

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verified fuzzy
raw_fallback, observed 2026-05-23T02:35:20.134174Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-23T02:34:44.729248Z digest=sha256:14871335f6a4c0f388d242c8968106c25cb2a7542c9bb1280681c41bd8af439a

Observation 9ae5ce87-27f8-4fe2-9886-015097ebe5a9 · outbound

This paper cites Reinforcement learning: An introduction.

Reinforcement Learning for Testing Interdependent Requirements in Autonomous Vehicles: An Empirical Study Reinforcement learning: An introduction

Reference 13

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-23T02:34:44.729248Z digest=sha256:b32a1b0527cf51fd0513facd1262053006a3c9c3713c17f0c439a283fc3ef123

Observation 10b655d2-aa13-46af-ae09-bd50ef5e1e30 · outbound

This paper cites Learning configu- rations of operating environment of autonomous vehicles to maximize their collisions.

Reinforcement Learning for Testing Interdependent Requirements in Autonomous Vehicles: An Empirical Study Learning configu- rations of operating environment of autonomous vehicles to maximize their collisions

Reference 14

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verified fuzzy
raw_fallback, observed 2026-05-23T02:35:20.198294Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-23T02:34:44.729248Z digest=sha256:fdcff9167bef95a7c2a64647906cbbd479d6fa26381313e37daaa4e57bd601f5

Observation cda40c33-b459-4306-82d9-5d64123b267c · outbound

This paper cites an unresolved cited work.

Reinforcement Learning for Testing Interdependent Requirements in Autonomous Vehicles: An Empirical Study Unresolved cited work

Reference 15

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unresolved
raw_fallback, observed 2026-05-23T02:35:20.137611Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-23T02:34:44.729248Z digest=sha256:3776b4a2a686cf6aa8973bf4d0d0d0910531c06673db59bdd4a2a759e19685ea

Observation 28b10b9d-b654-46d8-9802-3944c6966cbc · outbound

This paper cites Dense reinforcement learning for safety validation of autonomous vehicles.

Reinforcement Learning for Testing Interdependent Requirements in Autonomous Vehicles: An Empirical Study Dense reinforcement learning for safety validation of autonomous vehicles

Reference 16

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verified fuzzy
raw_fallback, observed 2026-05-23T02:35:20.130776Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-23T02:34:44.729248Z digest=sha256:6a74253240a2e2358c7fbf7a83e52b1795c2d9e9fbdb3b6657d83bcf822d7478

Observation ff006287-4940-46dc-82fd-cf2ce28bdefd · outbound

This paper cites Multiobjective reinforcement learning: A comprehensive overview.

Reinforcement Learning for Testing Interdependent Requirements in Autonomous Vehicles: An Empirical Study Multiobjective reinforcement learning: A comprehensive overview

Reference 17

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-23T02:34:44.729248Z digest=sha256:ee83d4e5ee7d28867bbec8253944ca3645d9c2ce14b7e72d1c42f28e1f7ecc2e

Observation 9cda2f6e-fc03-4a53-960a-19b171375344 · outbound

This paper cites A practical guide to multi-objective reinforcement learning and planning.

Reinforcement Learning for Testing Interdependent Requirements in Autonomous Vehicles: An Empirical Study A practical guide to multi-objective reinforcement learning and planning

Reference 18

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raw_fallback, observed 2026-05-23T02:35:20.169284Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-23T02:34:44.729248Z digest=sha256:b28de9b07508bf84341114488e2a777c52cebf92e8e05d8a3694342f8da8cbe0

Observation 463da1e3-f5a3-4e36-ab99-08f9c73fc299 · outbound

This paper cites Prediction-guided multi-objective reinforcement learning for continuous robot control.

Reinforcement Learning for Testing Interdependent Requirements in Autonomous Vehicles: An Empirical Study Prediction-guided multi-objective reinforcement learning for continuous robot control

Reference 19

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verified fuzzy
raw_fallback, observed 2026-05-23T02:35:20.294052Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-23T02:34:44.729248Z digest=sha256:4f0038d6f7f27e657f9d258b5c8c7ffade68a690a61c38bd412780058d2d5a54

Observation 05fffb4b-993f-4548-885d-2ef8bd43c274 · outbound

This paper cites Deep reinforcement learning for autonomous driving: A survey.

Reinforcement Learning for Testing Interdependent Requirements in Autonomous Vehicles: An Empirical Study Deep reinforcement learning for autonomous driving: A survey

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T02:35:20.298049Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-23T02:34:44.729248Z digest=sha256:af44df337d90082af03bf56b72f559ae480158ace40ca280882f00c8a534ad79

Observation 2baa8f09-abf0-4f9d-b861-821c2bf80c74 · outbound

This paper cites A generalized algorithm for multi-objective reinforcement learning and policy adaptation.

Reinforcement Learning for Testing Interdependent Requirements in Autonomous Vehicles: An Empirical Study A generalized algorithm for multi-objective reinforcement learning and policy adaptation

Reference 21

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verified fuzzy
raw_fallback, observed 2026-05-23T02:35:20.308965Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-23T02:34:44.729248Z digest=sha256:d2d2e281b6df4acaa7849c77e7f00dcd08ab6c51c45058c8014bf8616f021c62

Observation 2088e2cf-fc04-4fea-a3b9-2e4019d4f03c · outbound

This paper cites Safety-enhanced autonomous driving using interpretable sensor fusion transformer.

Reinforcement Learning for Testing Interdependent Requirements in Autonomous Vehicles: An Empirical Study Safety-enhanced autonomous driving using interpretable sensor fusion transformer

Reference 22

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raw_fallback, observed 2026-05-23T02:35:20.283659Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-23T02:34:44.729248Z digest=sha256:4a045b57669b3f70ce81034d0a4d06cb333f8e4b113cb67fcaa42ebadcea4117

Observation ec0df34d-69c2-48f1-ba6a-f3c34a83473c · outbound

This paper cites Q-learning.

Reinforcement Learning for Testing Interdependent Requirements in Autonomous Vehicles: An Empirical Study Q-learning

Reference 23

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verified fuzzy
raw_fallback, observed 2026-05-23T02:35:20.301500Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-23T02:34:44.729248Z digest=sha256:a927432f0a5f8759342d19f90e97bb9f3d0fb80a1452ba971a40c58db91d8f1b

Observation 6cb28e38-07b4-4b81-b240-8d97a89fcefa · outbound

This paper cites A survey of multi-objective sequential decision-making.

Reinforcement Learning for Testing Interdependent Requirements in Autonomous Vehicles: An Empirical Study A survey of multi-objective sequential decision-making

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T02:35:20.276694Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-23T02:34:44.729248Z digest=sha256:05cde6ec1479000c345ee1a85292b13e1dc7454d2ec5dcf10d64d5bdf3060997

Observation 14eec644-74fb-45d0-b07d-6ba3b82d4520 · outbound

This paper cites A toolkit for reliable benchmarking and research in multi-objective reinforcement learning.

Reinforcement Learning for Testing Interdependent Requirements in Autonomous Vehicles: An Empirical Study A toolkit for reliable benchmarking and research in multi-objective reinforcement learning

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T02:35:20.269490Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-23T02:34:44.729248Z digest=sha256:01b641420b458d9db07f399319e5af4e952ac1f877dc1c17a01c58da13a3d756

Observation 56549b4c-d816-4424-9115-23e4e45acf7b · outbound

This paper cites Human-level control through deep reinforcement learning.

Reinforcement Learning for Testing Interdependent Requirements in Autonomous Vehicles: An Empirical Study Human-level control through deep reinforcement learning

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T02:35:20.272930Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation 58dfca05-5002-4a31-bfc2-1807a8afe638 · outbound

This paper cites Modern homotopy methods in optimization.

Reinforcement Learning for Testing Interdependent Requirements in Autonomous Vehicles: An Empirical Study Modern homotopy methods in optimization

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T02:35:20.287296Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-23T02:34:44.729248Z digest=sha256:27bd5dbba19542f9d6bafe3dae07f7e6ff3d6ee798a0283ded89ab32577dea08

Observation 2b594558-8b64-49df-afb2-f1e6e3085e07 · outbound

This paper cites Prioritized Experience Replay.

Reinforcement Learning for Testing Interdependent Requirements in Autonomous Vehicles: An Empirical Study Prioritized Experience Replay

Reference 28

Resolution
verified exact
local_arxiv, observed 2026-05-23T02:35:19.229267Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation 8e0b0a77-5a17-459e-bcdd-0b6db18c0723 · outbound

This paper cites A survey of state-action representations for autonomous driving.

Reinforcement Learning for Testing Interdependent Requirements in Autonomous Vehicles: An Empirical Study A survey of state-action representations for autonomous driving

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T02:35:20.222905Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-23T02:34:44.729248Z digest=sha256:f6b057eaf00096eaf8fb71b6e7ad3c7bb4ae23c3d75f83a4ed81ab4d5abd495e

Observation 2e13fbe4-cefb-48a5-938c-c03470108657 · outbound

This paper cites Attention is all you need.

Reinforcement Learning for Testing Interdependent Requirements in Autonomous Vehicles: An Empirical Study Attention is all you need

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T02:35:20.148693Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-23T02:34:44.729248Z digest=sha256:a1ac7698d78e23d1cafceb942ca910ae8ef3ae1202d9ec4048891eef2ec68517

Observation 3f2bf246-a47b-4cdc-9324-65fb5f347b22 · outbound

This paper cites A deep reinforcement learning approach for dynamically stable inverse kinematics of humanoid robots.

Reinforcement Learning for Testing Interdependent Requirements in Autonomous Vehicles: An Empirical Study A deep reinforcement learning approach for dynamically stable inverse kinematics of humanoid robots

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T02:35:20.172445Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-23T02:34:44.729248Z digest=sha256:ca0373238af332d2c9070d2ba3b8cf7489fbad8e1cb33cef4994cae3d0668bdf

Observation 0f30567e-6e49-4ca7-830f-f1e53eb4a636 · outbound

This paper cites Conditional dqn-based motion planning with fuzzy logic for autonomous driving.

Reinforcement Learning for Testing Interdependent Requirements in Autonomous Vehicles: An Empirical Study Conditional dqn-based motion planning with fuzzy logic for autonomous driving

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T02:35:20.189409Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-23T02:34:44.729248Z digest=sha256:2ae5310905bc4a9764505ba3f1568f12297d3707c83476b072d016ac26c2d7e3

Observation b5c17556-32a1-4451-a2fc-c6787a8040ae · outbound

This paper cites Requirements- driven test generation for autonomous vehicles with machine learning components.

Reinforcement Learning for Testing Interdependent Requirements in Autonomous Vehicles: An Empirical Study Requirements- driven test generation for autonomous vehicles with machine learning components

Reference 33

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verified fuzzy
raw_fallback, observed 2026-05-23T02:35:20.211664Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-23T02:34:44.729248Z digest=sha256:d23e196506f45b04a12efc29621797f24a6be7f4c79ffe2c6a6f1c09f685c611

Observation 35bea814-1cac-47c8-8177-778d6a7dd740 · outbound

This paper cites Extended time-to-collision measures for road traffic safety assessment.

Reinforcement Learning for Testing Interdependent Requirements in Autonomous Vehicles: An Empirical Study Extended time-to-collision measures for road traffic safety assessment

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T02:35:20.152102Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-23T02:34:44.729248Z digest=sha256:289b3b0cc335431c07ffc436286847d85e5fc7a2b8f3ac170b1b414172bd4cca

Observation 82004dac-3627-4dc6-a88a-89b318a2574e · outbound

This paper cites Planning and decision-making for autonomous vehicles.

Reinforcement Learning for Testing Interdependent Requirements in Autonomous Vehicles: An Empirical Study Planning and decision-making for autonomous vehicles

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T02:35:20.155503Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-23T02:34:44.729248Z digest=sha256:6cf64b0d4d386802831850389c5a40fa7975741e48e7f9f0a32ede6fa480387c

Observation b6a5b05c-9788-402e-9ac9-ebe0c1aaeb3e · outbound

This paper cites Carla autonomous driving leaderboard.

Reinforcement Learning for Testing Interdependent Requirements in Autonomous Vehicles: An Empirical Study Carla autonomous driving leaderboard

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T02:35:20.162497Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-23T02:34:44.729248Z digest=sha256:547a4a14ce2d246218edcc86ec18333b918788f13b659c2bfde60dd3d9bf5d5f

Observation 9d31bdc4-6c5b-418d-b79a-c15318e58392 · outbound

This paper cites Epitester: Testing autonomous vehicles with epigenetic algorithm and attention mechanism.

Reinforcement Learning for Testing Interdependent Requirements in Autonomous Vehicles: An Empirical Study Epitester: Testing autonomous vehicles with epigenetic algorithm and attention mechanism

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T02:35:20.159038Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-23T02:34:44.729248Z digest=sha256:7ba4bec91f2000485f735c5298f5314ba3a7cd8c89c8149a6612c29265c73867

Observation f33c66d7-ba18-443b-998c-dbf72239beca · outbound

This paper cites Optuna: A next-generation hyperparameter optimization framework.

Reinforcement Learning for Testing Interdependent Requirements in Autonomous Vehicles: An Empirical Study Optuna: A next-generation hyperparameter optimization framework

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T02:35:20.216061Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-23T02:34:44.729248Z digest=sha256:d2e52aa4989e80fee3a621fa1469fab582ab4140859c089c624b1adb698e8f9c

Observation eb9cf576-2fd8-4dec-9a4c-f0d207c36516 · outbound

This paper cites an unresolved cited work.

Reinforcement Learning for Testing Interdependent Requirements in Autonomous Vehicles: An Empirical Study Unresolved cited work

Reference 39

Resolution
unresolved
raw_fallback, observed 2026-05-23T02:35:20.219267Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-23T02:34:44.729248Z digest=sha256:9170cf3c00c5dfb9adc3feca13ea09ae5cdb49ff952030251a137a3d231a5590

Observation fe3536f1-1087-4892-ae2d-5e4806935b44 · outbound

This paper cites Incentivizing Exploration In Reinforcement Learning With Deep Predictive Models.

Reinforcement Learning for Testing Interdependent Requirements in Autonomous Vehicles: An Empirical Study Incentivizing Exploration In Reinforcement Learning With Deep Predictive Models

Reference 40

Resolution
verified exact
local_arxiv, observed 2026-05-23T02:35:19.234624Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-23T02:34:44.729248Z digest=sha256:eb3c33d431e126c0f8deeb3781678d9a3b2cb72aeb9834fa6026e6430ba9e7dc

Observation 19ceab93-0267-497d-bcf2-73f33327486c · outbound

This paper cites Pre-crash scenario typology for crash avoidance research.

Reinforcement Learning for Testing Interdependent Requirements in Autonomous Vehicles: An Empirical Study Pre-crash scenario typology for crash avoidance research

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T02:35:20.262723Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-23T02:34:44.729248Z digest=sha256:c209ca4a2c01b26fd76d831b842eaa18c0dfc692e6868492bf746f7cc1e7e7b6

Observation d900115c-b54b-412a-8789-be35c7afa395 · outbound

This paper cites Statistical methods for research workers.

Reinforcement Learning for Testing Interdependent Requirements in Autonomous Vehicles: An Empirical Study Statistical methods for research workers

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T02:35:20.290824Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-23T02:34:44.729248Z digest=sha256:5bc6581654cfba47858267748d19ed4b35c845a7fba7dcf1a47fef26fb99daca

Observation 1a20d4af-0e35-49b4-a4e0-68934a8f9b85 · outbound

This paper cites A practical guide for using statistical tests to assess randomized algorithms in software engineering.

Reinforcement Learning for Testing Interdependent Requirements in Autonomous Vehicles: An Empirical Study A practical guide for using statistical tests to assess randomized algorithms in software engineering

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T02:35:20.305539Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-23T02:34:44.729248Z digest=sha256:9e962afdfeacfdd9948940d51c52e6a4b26be32ff9b4461e14bf51605adaa490

Observation 2d1797a3-ed8f-49e9-bc77-fe4be59bd887 · outbound

This paper cites Explaining odds ratios.

Reinforcement Learning for Testing Interdependent Requirements in Autonomous Vehicles: An Empirical Study Explaining odds ratios

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T02:35:20.203180Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-23T02:34:44.729248Z digest=sha256:654372f71f92430501c45a07b88738a813663da711db62678d4d551a7dba6f1c

Observation 1e883589-d9e9-49de-8b91-adfb52855f22 · outbound

This paper cites Testing advanced driver assistance systems using multi-objective search and neural networks.

Reinforcement Learning for Testing Interdependent Requirements in Autonomous Vehicles: An Empirical Study Testing advanced driver assistance systems using multi-objective search and neural networks

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T02:35:20.193934Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-23T02:34:44.729248Z digest=sha256:c407673628bf420253d7ab3ca1e01e01d172acce3edb052829c386b1a7839a95

Observation a4e0d521-3755-4fb5-94e2-9f4bc09218f0 · outbound

This paper cites Testing vision-based control systems using learnable evolutionary algorithms.

Reinforcement Learning for Testing Interdependent Requirements in Autonomous Vehicles: An Empirical Study Testing vision-based control systems using learnable evolutionary algorithms

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T02:35:20.230187Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-23T02:34:44.729248Z digest=sha256:fc829a8d48327786ead319d9bf8e94577a94e3e1ffefc74065aa7e680c7ede01

Observation 4fc3268f-903e-47c5-a38d-a7e39b06f85b · outbound

This paper cites A fast and elitist multiobjective genetic algorithm: Nsga-ii.

Reinforcement Learning for Testing Interdependent Requirements in Autonomous Vehicles: An Empirical Study A fast and elitist multiobjective genetic algorithm: Nsga-ii

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T02:35:20.198587Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-23T02:34:44.729248Z digest=sha256:9f89c4443cbd6809f890fd721196e4555e8773567985fdbea3f4ae4f18c7526d

Observation 47a0b4e2-3a8c-41a3-ab3d-48e68cff4772 · outbound

This paper cites Av-fuzzer: Finding safety violations in autonomous driving systems.

Reinforcement Learning for Testing Interdependent Requirements in Autonomous Vehicles: An Empirical Study Av-fuzzer: Finding safety violations in autonomous driving systems

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T02:35:20.207619Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-23T02:34:44.729248Z digest=sha256:27800aba572d4f55230c1585c807a69d79a9bbc362abf03f98c5b19265693e1f

Observation fc40aa73-3f2c-4d54-b9d6-0c27a901f75b · outbound

This paper cites Efficient online testing for dnn-enabled systems using surrogate-assisted and many-objective optimization.

Reinforcement Learning for Testing Interdependent Requirements in Autonomous Vehicles: An Empirical Study Efficient online testing for dnn-enabled systems using surrogate-assisted and many-objective optimization

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T02:35:20.176041Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-23T02:34:44.729248Z digest=sha256:f75d4d22085b978075eadd4ea6a0a04d779661ca09433270b8c58b12046b46d5

Observation e32eb3b4-cbe5-418b-b44e-33b32359038c · outbound

This paper cites Lawbreaker: An approach for specifying traffic laws and fuzzing autonomous vehicles.

Reinforcement Learning for Testing Interdependent Requirements in Autonomous Vehicles: An Empirical Study Lawbreaker: An approach for specifying traffic laws and fuzzing autonomous vehicles

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T02:35:20.179501Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-23T02:34:44.729248Z digest=sha256:12aaa1a7b05b02273adb127d6f264c8063bb4c3b239e24d34551b7e9e7e41f6a

Observation b6d3a743-535d-4896-9b34-3f064284a614 · outbound

This paper cites Adversarial evaluation of autonomous vehicles in lane-change scenarios.

Reinforcement Learning for Testing Interdependent Requirements in Autonomous Vehicles: An Empirical Study Adversarial evaluation of autonomous vehicles in lane-change scenarios

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T02:35:20.186014Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-23T02:34:44.729248Z digest=sha256:d935518da82727432c73c62632c85a8a7ae59981920c4ac8a3a9110c7654edc5

Observation 7a937a02-7652-4179-9b22-88c419501be5 · outbound

This paper cites Kochenderfer.

Reinforcement Learning for Testing Interdependent Requirements in Autonomous Vehicles: An Empirical Study Kochenderfer

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T02:35:20.279882Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-23T02:34:44.729248Z digest=sha256:00b419f3348f09d2dee52c267ab5002b95091310c5ca23caff57dc054c1e784f

Observation 7e24d730-bec9-40d9-8bdc-f52cf6670612 · outbound

This paper cites Adversarial testing with reinforcement learning: A case study on autonomous driving.

Reinforcement Learning for Testing Interdependent Requirements in Autonomous Vehicles: An Empirical Study Adversarial testing with reinforcement learning: A case study on autonomous driving

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T02:35:20.177747Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-23T02:34:44.729248Z digest=sha256:f99aabb9f340deaf01093765264b28c6a2e544438249cce4e52bef2806b96a0e

Pith citing papers

Observation ae8372cf-3969-4445-9fc9-2c8a0bd2ce0d · inbound

From Research to Practice: An Interactive Rapid Review of Autonomous Driving System Testing in Industry cites this paper.

From Research to Practice: An Interactive Rapid Review of Autonomous Driving System Testing in Industry Reinforcement Learning for Testing Interdependent Requirements in Autonomous Vehicles: An Empirical Study

Reference 46

Resolution
verified exact
local_arxiv, observed 2026-05-11T16:01:21.924294Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-09T18:53:15.076775Z digest=sha256:2b78d643e223ae83cd9911276d29e13f3eeccb5fac249711817f554df6f93341