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Paper Citation Record · LEDGER

EvoEye: Self-Evolving Runtime Monitoring for Autonomous Driving Systems

As of 14 August 2026, this Paper Citation Record lists 50 of 50 outbound references and 0 inbound Pith citation observations for arXiv:2607.03755.

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

pith.paper-citation-record.v1
2607.03755 v2

Coverage vector

measured 50 of 50 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-12T00:10:58.626739Z

measured 50 of 50 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

50 of 50 outbound references displayed

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Outbound references

Observation a809f944-7c66-42cd-9da9-46b7316790a3 · outbound

This paper cites A survey of motion planning and control techniques for self-driving urban vehicles,.

EvoEye: Self-Evolving Runtime Monitoring for Autonomous Driving Systems A survey of motion planning and control techniques for self-driving urban vehicles,

Reference 1

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source=pdf_text observed=2026-07-12T00:10:58.626739Z digest=sha256:69561e03171ebc2a6136717d27f27f453781360d4447f6be538adc6670355e03

Observation 6d91a2d8-2ee3-4743-a002-7a8541222e55 · outbound

This paper cites Self- driving cars: A survey,.

EvoEye: Self-Evolving Runtime Monitoring for Autonomous Driving Systems Self- driving cars: A survey,

Reference 2

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Observation a9637d33-40e9-457f-81af-7d14adffa7f2 · outbound

This paper cites Challenges in autonomous vehicle testing and validation,.

EvoEye: Self-Evolving Runtime Monitoring for Autonomous Driving Systems Challenges in autonomous vehicle testing and validation,

Reference 3

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Observation d062a1ad-e0a6-47d1-8a03-c78fe322bb07 · outbound

This paper cites Testing of autonomous driving systems: where are we and where should we go?.

EvoEye: Self-Evolving Runtime Monitoring for Autonomous Driving Systems Testing of autonomous driving systems: where are we and where should we go?

Reference 4

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Observation d9406ae0-abc7-4738-ae11-4e61e9d30b10 · outbound

This paper cites Runtime monitoring for safety of intelligent vehicles,.

EvoEye: Self-Evolving Runtime Monitoring for Autonomous Driving Systems Runtime monitoring for safety of intelligent vehicles,

Reference 5

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Observation a62edc0f-64c5-4b60-abc1-f3f75f15a17f · outbound

This paper cites Near miss determination through use of a scale of danger,.

EvoEye: Self-Evolving Runtime Monitoring for Autonomous Driving Systems Near miss determination through use of a scale of danger,

Reference 6

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Observation c44e40ee-ca53-4142-b8ee-a44bad31d9c7 · outbound

This paper cites On a Formal Model of Safe and Scalable Self-driving Cars.

EvoEye: Self-Evolving Runtime Monitoring for Autonomous Driving Systems On a Formal Model of Safe and Scalable Self-driving Cars

Reference 7

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Observation 94a9346d-bc9e-4727-a4b3-7bb79906f670 · outbound

This paper cites Misbehaviour prediction for autonomous driving systems,.

EvoEye: Self-Evolving Runtime Monitoring for Autonomous Driving Systems Misbehaviour prediction for autonomous driving systems,

Reference 8

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Observation c63da1e7-c99e-40ca-9f4f-905f9bc7ca3a · outbound

This paper cites Thirdeye: Attention maps for safe autonomous driving systems,.

EvoEye: Self-Evolving Runtime Monitoring for Autonomous Driving Systems Thirdeye: Attention maps for safe autonomous driving systems,

Reference 9

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Observation e43ab527-cca6-4865-8ee6-35c3b64bfce8 · outbound

This paper cites Baidu-apollo,.

EvoEye: Self-Evolving Runtime Monitoring for Autonomous Driving Systems Baidu-apollo,

Reference 10

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Observation e57e51a8-b2df-4243-a9b3-e285255b2b56 · outbound

This paper cites Carla: An open urban driving simulator,.

EvoEye: Self-Evolving Runtime Monitoring for Autonomous Driving Systems Carla: An open urban driving simulator,

Reference 11

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Observation 20a3f3be-8e5c-4361-a4bb-210342d66df7 · outbound

This paper cites Pylot: A modular platform for exploring latency-accuracy tradeoffs in autonomous vehicles,.

EvoEye: Self-Evolving Runtime Monitoring for Autonomous Driving Systems Pylot: A modular platform for exploring latency-accuracy tradeoffs in autonomous vehicles,

Reference 12

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Observation 898b60b2-512e-4a42-9336-cc8c0ac992b1 · outbound

This paper cites Autoware on board: Enabling autonomous vehicles with embedded systems,.

EvoEye: Self-Evolving Runtime Monitoring for Autonomous Driving Systems Autoware on board: Enabling autonomous vehicles with embedded systems,

Reference 13

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Observation 8a72bed0-5612-453f-a6e2-8f532ac820e4 · outbound

This paper cites End to End Learning for Self-Driving Cars.

EvoEye: Self-Evolving Runtime Monitoring for Autonomous Driving Systems End to End Learning for Self-Driving Cars

Reference 14

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Observation e83cd5b2-1405-4ece-aab4-fac0808bf538 · outbound

This paper cites End-to-end driving via conditional imitation learning,.

EvoEye: Self-Evolving Runtime Monitoring for Autonomous Driving Systems End-to-end driving via conditional imitation learning,

Reference 15

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Observation b4c9d7c2-adfe-44ab-b650-7d66d5ca2f56 · outbound

This paper cites openpilot,.

EvoEye: Self-Evolving Runtime Monitoring for Autonomous Driving Systems openpilot,

Reference 16

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Observation 689debaa-7f17-4516-bb92-289673eddf28 · outbound

This paper cites End-to-end urban driving by imitating a reinforcement learning coach,.

EvoEye: Self-Evolving Runtime Monitoring for Autonomous Driving Systems End-to-end urban driving by imitating a reinforcement learning coach,

Reference 17

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Observation e5b0ba99-0052-4276-b701-a9a0ea261e9b · outbound

This paper cites Transfuser: Imitation with transformer-based sensor fusion for au- tonomous driving,.

EvoEye: Self-Evolving Runtime Monitoring for Autonomous Driving Systems Transfuser: Imitation with transformer-based sensor fusion for au- tonomous driving,

Reference 18

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source=pdf_text observed=2026-07-12T00:10:58.626739Z digest=sha256:039c4ccd0be5bd40741215704df36b0a2f4961563477545f69ce52d7356df84e

Observation 6cc1be98-f3e2-49d8-87c6-004440cb0f34 · outbound

This paper cites Trajectory-guided control prediction for end-to-end autonomous driving: A simple yet strong baseline,.

EvoEye: Self-Evolving Runtime Monitoring for Autonomous Driving Systems Trajectory-guided control prediction for end-to-end autonomous driving: A simple yet strong baseline,

Reference 19

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source=pdf_text observed=2026-07-12T00:10:58.626739Z digest=sha256:a344871c0a7cd3a5b0998e514a4a89858dadccca30d3612317d0f6feaa3d0e8f

Observation b4241b75-a7a7-4251-ad07-6ca3856927ea · outbound

This paper cites A framework for automated driving system testable cases and scenarios,.

EvoEye: Self-Evolving Runtime Monitoring for Autonomous Driving Systems A framework for automated driving system testable cases and scenarios,

Reference 20

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Observation 563d630f-276d-4249-b9eb-56fe91943d09 · outbound

This paper cites Scenarios for development, test and validation of automated vehicles,.

EvoEye: Self-Evolving Runtime Monitoring for Autonomous Driving Systems Scenarios for development, test and validation of automated vehicles,

Reference 21

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source=pdf_text observed=2026-07-12T00:10:58.626739Z digest=sha256:21375d649fc411dcad8795ad2fccd452ddcf6db0300f7a0b5d876e6484d3d269

Observation 7cac30fc-d4e1-4992-b9f6-e5cbc9502da2 · outbound

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

EvoEye: Self-Evolving Runtime Monitoring for Autonomous Driving Systems Efficient online testing for dnn- enabled systems using surrogate-assisted and many-objective optimiza- tion,

Reference 22

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source=pdf_text observed=2026-07-12T00:10:58.626739Z digest=sha256:964cff144ab962f52b900bbf15a17afb29412f1f66566d20c578e6a2d1c2bce4

Observation 54377eaa-6f70-46a1-8948-a04b2f1c487a · outbound

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

EvoEye: Self-Evolving Runtime Monitoring for Autonomous Driving Systems Av-fuzzer: Finding safety violations in autonomous driving systems,

Reference 23

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source=pdf_text observed=2026-07-12T00:10:58.626739Z digest=sha256:59677a0bfcda4a3403ece7363b3a0672ef1ce3086bdf27c6d903f2dab0988f7f

Observation 644cbfce-e6dc-4940-85e2-2e0a83fe989b · outbound

This paper cites Identifying the hazard boundary of ml-enabled autonomous systems using cooperative coevolutionary search,.

EvoEye: Self-Evolving Runtime Monitoring for Autonomous Driving Systems Identifying the hazard boundary of ml-enabled autonomous systems using cooperative coevolutionary search,

Reference 24

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Observation 552aa54c-3d88-4681-8941-27e4328c94ba · outbound

This paper cites Behavexplor: Behavior diversity guided testing for autonomous driving systems,.

EvoEye: Self-Evolving Runtime Monitoring for Autonomous Driving Systems Behavexplor: Behavior diversity guided testing for autonomous driving systems,

Reference 25

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Observation d28b36ac-10ea-46e5-bfb0-23cdce648fc0 · outbound

This paper cites Many-objective reinforcement learning for online testing of dnn-enabled systems,.

EvoEye: Self-Evolving Runtime Monitoring for Autonomous Driving Systems Many-objective reinforcement learning for online testing of dnn-enabled systems,

Reference 26

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Observation 9997341b-790f-4bb5-927e-deea12b2adc5 · outbound

This paper cites Doppelg¨anger test generation for revealing bugs in autonomous driving software,.

EvoEye: Self-Evolving Runtime Monitoring for Autonomous Driving Systems Doppelg¨anger test generation for revealing bugs in autonomous driving software,

Reference 27

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Observation 3773f47c-9d75-4dde-995a-99aa4eafd76c · outbound

This paper cites Pre-crash scenario typol- ogy for crash avoidance research,.

EvoEye: Self-Evolving Runtime Monitoring for Autonomous Driving Systems Pre-crash scenario typol- ogy for crash avoidance research,

Reference 28

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Observation 7136a8f9-a932-4e1a-8a93-2026f5ac4845 · outbound

This paper cites Study on effectiveness of pre-crash active seatbelt using real time controlled simulation,.

EvoEye: Self-Evolving Runtime Monitoring for Autonomous Driving Systems Study on effectiveness of pre-crash active seatbelt using real time controlled simulation,

Reference 29

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Observation 4d311ff9-0e04-48d0-b22a-9a2a8a9d2891 · outbound

This paper cites A review of essential technologies for collision avoidance assistance systems,.

EvoEye: Self-Evolving Runtime Monitoring for Autonomous Driving Systems A review of essential technologies for collision avoidance assistance systems,

Reference 30

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source=pdf_text observed=2026-07-12T00:10:58.626739Z digest=sha256:75fe2c6a5d7ef8b4e096fbe5b7b4b7ae9525934f09786fdb2474b8a5cee5d55a

Observation b5f8fa49-9fde-4f5d-9247-9a20426171c5 · outbound

This paper cites Pytorch: An imperative style, high-performance deep learning library,.

EvoEye: Self-Evolving Runtime Monitoring for Autonomous Driving Systems Pytorch: An imperative style, high-performance deep learning library,

Reference 31

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Observation 5d25bfa4-eda7-45dd-bcd8-69cc47331527 · outbound

This paper cites Preliminary evaluation of path-aware crossover operators for search-based test data generation for autonomous driving,.

EvoEye: Self-Evolving Runtime Monitoring for Autonomous Driving Systems Preliminary evaluation of path-aware crossover operators for search-based test data generation for autonomous driving,

Reference 32

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Observation e2dea5c7-9365-4d46-9288-46fd348b5c98 · outbound

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

EvoEye: Self-Evolving Runtime Monitoring for Autonomous Driving Systems Neural network guided evolutionary fuzzing for finding traffic violations of autonomous vehicles,

Reference 33

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Observation 21f28a62-c3e7-4282-9064-4235c3a9f772 · outbound

This paper cites Systematic testing of autonomous driving systems using map topology-based scenario classification,.

EvoEye: Self-Evolving Runtime Monitoring for Autonomous Driving Systems Systematic testing of autonomous driving systems using map topology-based scenario classification,

Reference 34

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Observation 013964ea-55b2-46c6-9010-1f272fc2b6c8 · outbound

This paper cites Specification-based autonomous driving system testing,.

EvoEye: Self-Evolving Runtime Monitoring for Autonomous Driving Systems Specification-based autonomous driving system testing,

Reference 35

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Observation 2549fa77-6001-47b1-bc9b-f2b1f6bdcf32 · outbound

This paper cites Route coverage testing for autonomous vehicles via map modeling,.

EvoEye: Self-Evolving Runtime Monitoring for Autonomous Driving Systems Route coverage testing for autonomous vehicles via map modeling,

Reference 36

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Observation 095d964a-f282-446d-aa03-f0b949ee97f9 · outbound

This paper cites Collision avoidance testing for autonomous driving systems on complete maps,.

EvoEye: Self-Evolving Runtime Monitoring for Autonomous Driving Systems Collision avoidance testing for autonomous driving systems on complete maps,

Reference 37

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Observation 55abea74-9b62-473b-991a-d763163a6446 · outbound

This paper cites Moditector: Module- directed testing for autonomous driving systems,.

EvoEye: Self-Evolving Runtime Monitoring for Autonomous Driving Systems Moditector: Module- directed testing for autonomous driving systems,

Reference 38

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source=pdf_text observed=2026-07-12T00:10:58.626739Z digest=sha256:fc591c68592e436e941c8ed3d048ad17729567bb4def9e91fd0b4c76d2651965

Observation 548932e5-4b45-427a-87bf-1e7b96f6f97f · outbound

This paper cites Using cooperative co- evolutionary search to generate metamorphic test cases for autonomous driving systems,.

EvoEye: Self-Evolving Runtime Monitoring for Autonomous Driving Systems Using cooperative co- evolutionary search to generate metamorphic test cases for autonomous driving systems,

Reference 39

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source=pdf_text observed=2026-07-12T00:10:58.626739Z digest=sha256:457d1b9a982237c62b947dc6a040270dab4f160226009f6996efd9c24d665b19

Observation 1b290148-a433-41f7-9527-efc664947a01 · outbound

This paper cites Drivora: A unified and extensible infrastructure for search-based autonomous driving testing,.

EvoEye: Self-Evolving Runtime Monitoring for Autonomous Driving Systems Drivora: A unified and extensible infrastructure for search-based autonomous driving testing,

Reference 40

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source=pdf_text observed=2026-07-12T00:10:58.626739Z digest=sha256:fc8e243749b5663da54f635896a75a1ded3316bb37580f54626d896d3e4dd308

Observation 92921e8e-6578-4f23-92d5-f8e7a199e24f · outbound

This paper cites Mdpfuzz: testing models solving markov decision processes,.

EvoEye: Self-Evolving Runtime Monitoring for Autonomous Driving Systems Mdpfuzz: testing models solving markov decision processes,

Reference 41

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source=pdf_text observed=2026-07-12T00:10:58.626739Z digest=sha256:31de15d2e773373c1aa7d334ce63d78a6e17198bb4c91911a48bd72481223383

Observation 8078d0cd-9a71-4edd-b261-d31bdbc72f83 · outbound

This paper cites STCLocker: Deadlock Avoidance Testing for Autonomous Driving Systems.

EvoEye: Self-Evolving Runtime Monitoring for Autonomous Driving Systems STCLocker: Deadlock Avoidance Testing for Autonomous Driving Systems

Reference 42

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source=pdf_text observed=2026-07-12T00:10:58.626739Z digest=sha256:c675b82c3a3371e335d6054668609620422b38a796e6fe61f0b39e919ccf1ec6

Observation 476ecb47-f503-4fc9-83a9-de7eeb3280de · outbound

This paper cites Causality-aware safety testing for autonomous driving systems,.

EvoEye: Self-Evolving Runtime Monitoring for Autonomous Driving Systems Causality-aware safety testing for autonomous driving systems,

Reference 43

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source=pdf_text observed=2026-07-12T00:10:58.626739Z digest=sha256:5bc77a42e2787f9fa50003aa0e1d16eef5f554d90a2371078189f7666a89ec6d

Observation 70f0336c-7cb7-4c89-a922-cc4835dec37e · outbound

This paper cites Decictor: Towards evaluating the robustness of decision-making in autonomous driving systems,.

EvoEye: Self-Evolving Runtime Monitoring for Autonomous Driving Systems Decictor: Towards evaluating the robustness of decision-making in autonomous driving systems,

Reference 44

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source=pdf_text observed=2026-07-12T00:10:58.626739Z digest=sha256:868e4ef09db663fa5257d5eea85502e228546b4e74d78200050ed64ec7ca7a30

Observation cd5fcbdb-0cc7-4fcd-a5ef-159dbb51734b · outbound

This paper cites Automatically testing self-driving cars with search-based procedural content generation,.

EvoEye: Self-Evolving Runtime Monitoring for Autonomous Driving Systems Automatically testing self-driving cars with search-based procedural content generation,

Reference 45

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source=pdf_text observed=2026-07-12T00:10:58.626739Z digest=sha256:28da3b1bbe9aa27e18b5641ea787abc0a767bff2013377caf4d8c7888bd0596a

Observation eec38df1-bfd9-4d36-ac1e-57f9ee2dd795 · outbound

This paper cites Constrained Co-evolutionary Metamorphic Differential Testing for Autonomous Systems with an Interpretability Approach.

EvoEye: Self-Evolving Runtime Monitoring for Autonomous Driving Systems Constrained Co-evolutionary Metamorphic Differential Testing for Autonomous Systems with an Interpretability Approach

Reference 46

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source=pdf_text observed=2026-07-12T00:10:58.626739Z digest=sha256:ed76aa64893161019edab4984455522fc2f1619a9ec26ba70ff70f0e1661af4f

Observation 06f08e18-f14e-4ea7-a5c8-8920685927a3 · outbound

This paper cites Metamorphic fuzz testing of autonomous ve- hicles,.

EvoEye: Self-Evolving Runtime Monitoring for Autonomous Driving Systems Metamorphic fuzz testing of autonomous ve- hicles,

Reference 47

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source=pdf_text observed=2026-07-12T00:10:58.626739Z digest=sha256:58cd8fc80e7b72d1fd276f0a407e6bee1ae1df49c2b98702aee71c81a806f456

Observation c8d931c7-05bd-4e84-bab4-99e97278d50a · outbound

This paper cites Generative model-based testing on decision-making policies,.

EvoEye: Self-Evolving Runtime Monitoring for Autonomous Driving Systems Generative model-based testing on decision-making policies,

Reference 48

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source=pdf_text observed=2026-07-12T00:10:58.626739Z digest=sha256:9c0cdf3f87d6b4ec9c359b32d44b19bebdf5519f9c97ce6dc92a79029c609bcc

Observation 7b82d869-881c-4442-b93e-2be187e43bda · outbound

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

EvoEye: Self-Evolving Runtime Monitoring for Autonomous Driving Systems Dense reinforcement learning for safety validation of autonomous vehicles,

Reference 49

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source=pdf_text observed=2026-07-12T00:10:58.626739Z digest=sha256:a9931a7f49a14d88fbbce7a2168c72d081e69330b8b12422115684fb7b6dabfb

Observation 7e890ec5-9165-4e94-b122-3ae453c93ead · outbound

This paper cites Learning configurations of operating environment of autonomous vehicles to maximize their collisions,.

EvoEye: Self-Evolving Runtime Monitoring for Autonomous Driving Systems Learning configurations of operating environment of autonomous vehicles to maximize their collisions,

Reference 50

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Pith citing papers

No inbound Pith citation observations are available.