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Paper Citation Record · LEDGER

Using Formal Models, Safety Shields and Certified Control to Validate AI-Based Train Systems

As of 19 August 2026, this Paper Citation Record lists 36 of 36 outbound references and 0 inbound Pith citation observations for arXiv:2411.14374.

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

pith.paper-citation-record.v1
2411.14374 v1

Coverage vector

measured 36 of 36 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T15:19:34.243943Z

measured 36 of 36 standing notices

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measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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Reference resolution

36 of 36 outbound references displayed

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  • verified fuzzy1
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Outbound references

Observation 9ab9c4e0-0c2c-49f3-99e0-ef110e920f9f · outbound

This paper cites Hoare (2005): The B-Book: Assigning Programs to Meanings.

Using Formal Models, Safety Shields and Certified Control to Validate AI-Based Train Systems Hoare (2005): The B-Book: Assigning Programs to Meanings

Reference 1

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This paper cites In: Proceedings FMICS, LNCS 12863, Springer, pp.

Using Formal Models, Safety Shields and Certified Control to Validate AI-Based Train Systems In: Proceedings FMICS, LNCS 12863, Springer, pp

Reference 2

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Using Formal Models, Safety Shields and Certified Control to Validate AI-Based Train Systems Unresolved cited work

Reference 3

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This paper cites Technical Report EN50128, European Standard.

Using Formal Models, Safety Shields and Certified Control to Validate AI-Based Train Systems Technical Report EN50128, European Standard

Reference 4

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This paper cites In: Proceedings RSSRail, pp.

Using Formal Models, Safety Shields and Certified Control to Validate AI-Based Train Systems In: Proceedings RSSRail, pp

Reference 5

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This paper cites In: Proceedings RSSRail, pp.

Using Formal Models, Safety Shields and Certified Control to Validate AI-Based Train Systems In: Proceedings RSSRail, pp

Reference 6

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This paper cites L’expérience de Siemens Transportation Systems.

Using Formal Models, Safety Shields and Certified Control to Validate AI-Based Train Systems L’expérience de Siemens Transportation Systems

Reference 7

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This paper cites CARLA: An Open Urban Driving Simulator.

Using Formal Models, Safety Shields and Certified Control to Validate AI-Based Train Systems CARLA: An Open Urban Driving Simulator

Reference 8

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This paper cites IEEE Transactions on Intelligent Transportation Systems 24(12), pp.

Using Formal Models, Safety Shields and Certified Control to Validate AI-Based Train Systems IEEE Transactions on Intelligent Transportation Systems 24(12), pp

Reference 9

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This paper cites In: Proceedings B (B2007), LNCS 4355, Springer, Besancon, France, pp.

Using Formal Models, Safety Shields and Certified Control to Validate AI-Based Train Systems In: Proceedings B (B2007), LNCS 4355, Springer, Besancon, France, pp

Reference 10

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This paper cites In: 2018 IEEE symposium on security and privacy (SP), IEEE, pp.

Using Formal Models, Safety Shields and Certified Control to Validate AI-Based Train Systems In: 2018 IEEE symposium on security and privacy (SP), IEEE, pp

Reference 11

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This paper cites P˘as˘areanu & Clark Barrett (2018):DeepSafe: A Data-Driven Approach for Assessing Robustness of Neural Networks.

Using Formal Models, Safety Shields and Certified Control to Validate AI-Based Train Systems P˘as˘areanu & Clark Barrett (2018):DeepSafe: A Data-Driven Approach for Assessing Robustness of Neural Networks

Reference 12

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This paper cites In: Proceedings RSSRail, LNCS 14198, Springer, pp.

Using Formal Models, Safety Shields and Certified Control to Validate AI-Based Train Systems In: Proceedings RSSRail, LNCS 14198, Springer, pp

Reference 14

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This paper cites In: Proceedings ICECCS 2024, LNCS 14784, Springer, pp.

Using Formal Models, Safety Shields and Certified Control to Validate AI-Based Train Systems In: Proceedings ICECCS 2024, LNCS 14784, Springer, pp

Reference 15

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Using Formal Models, Safety Shields and Certified Control to Validate AI-Based Train Systems Unresolved cited work

Reference 16

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This paper cites STTT 24(4), pp.

Using Formal Models, Safety Shields and Certified Control to Validate AI-Based Train Systems STTT 24(4), pp

Reference 17

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This paper cites In: Proceedings CA V, LNCS 10426, Springer, pp.

Using Formal Models, Safety Shields and Certified Control to Validate AI-Based Train Systems In: Proceedings CA V, LNCS 10426, Springer, pp

Reference 18

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Observation 13b609f1-e0b4-4a29-b7e2-91a1d8146c2e · outbound

This paper cites Certified Control: An Architecture for Verifiable Safety of Autonomous Vehicles.

Using Formal Models, Safety Shields and Certified Control to Validate AI-Based Train Systems Certified Control: An Architecture for Verifiable Safety of Autonomous Vehicles

Reference 19

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This paper cites P ˘as˘areanu & Huafeng Yu (2022): Case Study: Analysis of Autonomous Center Line Tracking Neural Networks.

Using Formal Models, Safety Shields and Certified Control to Validate AI-Based Train Systems P ˘as˘areanu & Huafeng Yu (2022): Case Study: Analysis of Autonomous Center Line Tracking Neural Networks

Reference 20

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This paper cites In: Proceedings CA V, LNCS 10426, Springer, pp.

Using Formal Models, Safety Shields and Certified Control to Validate AI-Based Train Systems In: Proceedings CA V, LNCS 10426, Springer, pp

Reference 21

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Using Formal Models, Safety Shields and Certified Control to Validate AI-Based Train Systems In: Proceedings CA V, LNCS 6806, Springer, pp

Reference 22

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Using Formal Models, Safety Shields and Certified Control to Validate AI-Based Train Systems STTT 10(2), pp

Reference 23

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This paper cites In: Proceedings RSSRail , LNCS 14198, Springer, pp.

Using Formal Models, Safety Shields and Certified Control to Validate AI-Based Train Systems In: Proceedings RSSRail , LNCS 14198, Springer, pp

Reference 24

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This paper cites Nurminen (2021): Sys- tematic literature review of validation methods for AI systems.

Using Formal Models, Safety Shields and Certified Control to Validate AI-Based Train Systems Nurminen (2021): Sys- tematic literature review of validation methods for AI systems

Reference 25

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This paper cites Springer Science & Business Media, doi:10.1007/978-4-431-53856-1.

Using Formal Models, Safety Shields and Certified Control to Validate AI-Based Train Systems Springer Science & Business Media, doi:10.1007/978-4-431-53856-1

Reference 26

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This paper cites P ˘as˘areanu, Ravi Mangal, Divya Gopinath, Sinem Getir Yaman, Calum Imrie, Radu Calinescu & Huafeng Yu (2023): Closed-Loop Analysis of Vision-Based Autonomous Systems: A Case Study.

Using Formal Models, Safety Shields and Certified Control to Validate AI-Based Train Systems P ˘as˘areanu, Ravi Mangal, Divya Gopinath, Sinem Getir Yaman, Calum Imrie, Radu Calinescu & Huafeng Yu (2023): Closed-Loop Analysis of Vision-Based Autonomous Systems: A Case Study

Reference 27

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This paper cites In: Proceedings ISoLA, LNCS 13704, Springer, pp.

Using Formal Models, Safety Shields and Certified Control to Validate AI-Based Train Systems In: Proceedings ISoLA, LNCS 13704, Springer, pp

Reference 28

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Using Formal Models, Safety Shields and Certified Control to Validate AI-Based Train Systems Girshick & Ali Farhadi (2016): You Only Look Once: Uni- fied, Real-Time Object Detection

Reference 29

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Using Formal Models, Safety Shields and Certified Control to Validate AI-Based Train Systems In: Proceedings KI 2024 , LNAI 14992, Springer, pp

Reference 30

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Using Formal Models, Safety Shields and Certified Control to Validate AI-Based Train Systems EPTCS 395, pp

Reference 31

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Using Formal Models, Safety Shields and Certified Control to Validate AI-Based Train Systems In: Proceedings IJCAI, pp

Reference 32

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This paper cites Scalability in Perception for Autonomous Driving: Waymo Open Dataset.

Using Formal Models, Safety Shields and Certified Control to Validate AI-Based Train Systems Scalability in Perception for Autonomous Driving: Waymo Open Dataset

Reference 33

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This paper cites In: NASA Formal Methods Symposium , LNCS 14627, Springer, pp.

Using Formal Models, Safety Shields and Certified Control to Validate AI-Based Train Systems In: NASA Formal Methods Symposium , LNCS 14627, Springer, pp

Reference 34

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This paper cites In: Proceedings ABZ, LNCS 12709, Springer, pp.

Using Formal Models, Safety Shields and Certified Control to Validate AI-Based Train Systems In: Proceedings ABZ, LNCS 12709, Springer, pp

Reference 35

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Observation 991c010a-a717-4289-943c-02d698153c9b · outbound

This paper cites In: Proceedings ABZ, LNCS 12071, Springer, pp.

Using Formal Models, Safety Shields and Certified Control to Validate AI-Based Train Systems In: Proceedings ABZ, LNCS 12071, Springer, pp

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-12T15:19:34.238594Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T15:19:34.238594Z digest=sha256:5c9567f5117e0b1d501c54940b10e97f5b3718314e9b4f7c39cb799496430201

Observation 8c1dbae9-b28c-49b0-933f-8af7e8f247c0 · outbound

This paper cites In: Proceedings RSSRail, LNCS 14198, Springer, pp.

Using Formal Models, Safety Shields and Certified Control to Validate AI-Based Train Systems In: Proceedings RSSRail, LNCS 14198, Springer, pp

Reference 37

Resolution
verified exact
doi, observed 2026-08-12T15:19:34.288200Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-12T15:19:34.243943Z digest=sha256:1dfbe6676db2d26291ee9dc7fee97ea4808c8b73c0fb8bd2501e74c44123d5d9

Pith citing papers

No inbound Pith citation observations are available.