Paper Citation Record · LEDGER

HySafe-AI: Hybrid Safety Architectural Analysis Framework for AI Systems: A Case Study

As of 9 August 2026, this Paper Citation Record lists 40 of 40 outbound references and 0 inbound Pith citation observations for arXiv:2507.17118.

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

pith.paper-citation-record.v1
2507.17118 v1

Coverage vector

measured 40 of 40 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T15:00:55.393132Z

measured 40 of 40 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+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

40 of 40 outbound references displayed

verified exact5
verified fuzzy9
unresolved22
parse uncertain0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 96faabe4-fa0b-4022-8426-80f9262e1149 · outbound

This paper cites In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

HySafe-AI: Hybrid Safety Architectural Analysis Framework for AI Systems: A Case Study In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

Reference 1

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Observation 721daea6-a6b2-445c-be8b-6841daf3289f · outbound

This paper cites In: IEEE Conference on Computer Vision and Pattern Recog- nition (CVPR) Workshops.

HySafe-AI: Hybrid Safety Architectural Analysis Framework for AI Systems: A Case Study In: IEEE Conference on Computer Vision and Pattern Recog- nition (CVPR) Workshops

Reference 2

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Source-reported events for the cited work

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Observation b167bea9-d141-415c-87f6-a295cfbb5e1f · outbound

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

HySafe-AI: Hybrid Safety Architectural Analysis Framework for AI Systems: A Case Study End to End Learning for Self-Driving Cars

Reference 3

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Observation 09d26fd2-9a0c-4295-ba28-2d4cb23aacb9 · outbound

This paper cites In: Vedaldi, A., Bischof, H., Brox, T., Frahm, J.

HySafe-AI: Hybrid Safety Architectural Analysis Framework for AI Systems: A Case Study In: Vedaldi, A., Bischof, H., Brox, T., Frahm, J

Reference 4

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Observation c94ec638-b7c4-443b-aeea-aa181d2b6fb9 · outbound

This paper cites In: Proceedings of the IEEE International Conference on Robotics and Automation (ICRA).

HySafe-AI: Hybrid Safety Architectural Analysis Framework for AI Systems: A Case Study In: Proceedings of the IEEE International Conference on Robotics and Automation (ICRA)

Reference 5

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Observation 584ee237-d613-416a-8cc0-621d258861f1 · outbound

This paper cites Joint Perception and Prediction for Autonomous Driving: A Survey.

HySafe-AI: Hybrid Safety Architectural Analysis Framework for AI Systems: A Case Study Joint Perception and Prediction for Autonomous Driving: A Survey

Reference 6

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Source-reported events for the cited work

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Observation 0b6ba45a-3fa6-41cd-afc7-899107316efc · outbound

This paper cites In: International Conference on Learning Representations (ICLR) (2021).

HySafe-AI: Hybrid Safety Architectural Analysis Framework for AI Systems: A Case Study In: International Conference on Learning Representations (ICLR) (2021)

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:00:56.128449Z

Source-reported events for the cited work

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Observation 5f466e64-cef8-4b9f-bd9d-16564822abc3 · outbound

This paper cites MSF3DDETR: Multi-Sensor Fusion 3D Detection Transformer for Autonomous Driving.

HySafe-AI: Hybrid Safety Architectural Analysis Framework for AI Systems: A Case Study MSF3DDETR: Multi-Sensor Fusion 3D Detection Transformer for Autonomous Driving

Reference 8

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Observation 7034b2a3-9a24-4885-b2be-e52f3c4f2089 · outbound

This paper cites Goal-Conditioned Decision Transformer for Multi-Goal Offline Reinforcement Learning.

HySafe-AI: Hybrid Safety Architectural Analysis Framework for AI Systems: A Case Study Goal-Conditioned Decision Transformer for Multi-Goal Offline Reinforcement Learning

Reference 9

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Observation 6226cd67-1f25-4548-ac48-1d85f4bc187f · outbound

This paper cites In: Annual Reliability and Maintainability Symposium.

HySafe-AI: Hybrid Safety Architectural Analysis Framework for AI Systems: A Case Study In: Annual Reliability and Maintainability Symposium

Reference 10

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Source-reported events for the cited work

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Observation ba1e62a8-251e-4fa3-b3cd-09b346b2c87d · outbound

This paper cites https://doi.org/10.1109/DASC62030.2024.10749313.

HySafe-AI: Hybrid Safety Architectural Analysis Framework for AI Systems: A Case Study https://doi.org/10.1109/DASC62030.2024.10749313

Reference 11

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Source-reported events for the cited work

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Observation 0784ece6-be0e-4ec0-901a-eea7d69cc67b · outbound

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HySafe-AI: Hybrid Safety Architectural Analysis Framework for AI Systems: A Case Study Unresolved cited work

Reference 12

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Source-reported events for the cited work

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Observation 3d197cce-13b8-4d37-92e0-2aa2e30d5845 · outbound

This paper cites EMMA: End-to-End Multimodal Model for Autonomous Driving.

HySafe-AI: Hybrid Safety Architectural Analysis Framework for AI Systems: A Case Study EMMA: End-to-End Multimodal Model for Autonomous Driving

Reference 13

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HySafe-AI: Hybrid Safety Architectural Analysis Framework for AI Systems: A Case Study Unresolved cited work

Reference 14

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Observation 47c3fab6-e158-4494-8c1a-c5d670ad3b87 · outbound

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HySafe-AI: Hybrid Safety Architectural Analysis Framework for AI Systems: A Case Study Unresolved cited work

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Observation 7d16cbb5-88b3-44bd-b426-fbf12db92204 · outbound

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HySafe-AI: Hybrid Safety Architectural Analysis Framework for AI Systems: A Case Study Unresolved cited work

Reference 16

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Observation b99b9cd1-6649-466d-b3c5-f540ffccff6a · outbound

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HySafe-AI: Hybrid Safety Architectural Analysis Framework for AI Systems: A Case Study Unresolved cited work

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Observation e9279e2d-798e-4aec-841c-43459be65764 · outbound

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HySafe-AI: Hybrid Safety Architectural Analysis Framework for AI Systems: A Case Study Unresolved cited work

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HySafe-AI: Hybrid Safety Architectural Analysis Framework for AI Systems: A Case Study Unresolved cited work

Reference 19

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Observation 837f0796-e17e-45cd-994d-62fb6d077d5e · outbound

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HySafe-AI: Hybrid Safety Architectural Analysis Framework for AI Systems: A Case Study Unresolved cited work

Reference 20

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HySafe-AI: Hybrid Safety Architectural Analysis Framework for AI Systems: A Case Study Unresolved cited work

Reference 21

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Observation 015f778c-947e-436c-9338-260d150a3dbf · outbound

This paper cites In: 2014 21st Asia-Pacific Software Engineering Conference.

HySafe-AI: Hybrid Safety Architectural Analysis Framework for AI Systems: A Case Study In: 2014 21st Asia-Pacific Software Engineering Conference

Reference 22

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Observation dd37c027-7157-4d91-b786-af4da9e295f9 · outbound

This paper cites In: AI Ethics, V olume 2, 2022.

HySafe-AI: Hybrid Safety Architectural Analysis Framework for AI Systems: A Case Study In: AI Ethics, V olume 2, 2022

Reference 23

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This paper cites In: Computer Vision – ECCV 2022: 17th European Conference on Computer Vision, Tel Aviv, Israel, October 23–27, 2022, Proceedings, Part IX.

HySafe-AI: Hybrid Safety Architectural Analysis Framework for AI Systems: A Case Study In: Computer Vision – ECCV 2022: 17th European Conference on Computer Vision, Tel Aviv, Israel, October 23–27, 2022, Proceedings, Part IX

Reference 24

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This paper cites In: 2023 7th Interna- tional Conference on System Reliability and Safety (ICSRS) (2023).

HySafe-AI: Hybrid Safety Architectural Analysis Framework for AI Systems: A Case Study In: 2023 7th Interna- tional Conference on System Reliability and Safety (ICSRS) (2023)

Reference 25

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This paper cites DeepVO: A Deep Learning approach for Monocular Visual Odometry.

HySafe-AI: Hybrid Safety Architectural Analysis Framework for AI Systems: A Case Study DeepVO: A Deep Learning approach for Monocular Visual Odometry

Reference 26

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Observation 1e097478-c845-49a2-a26f-10831b2ca68a · outbound

This paper cites Systematic Hazard Analysis for Frontier AI using STPA.

HySafe-AI: Hybrid Safety Architectural Analysis Framework for AI Systems: A Case Study Systematic Hazard Analysis for Frontier AI using STPA

Reference 27

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HySafe-AI: Hybrid Safety Architectural Analysis Framework for AI Systems: A Case Study arXiv preprint (2024)

Reference 28

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Observation 77912e63-f60c-484a-bf97-a9e3d7d5f7be · outbound

This paper cites Learning Transferable Visual Models From Natural Language Supervision.

HySafe-AI: Hybrid Safety Architectural Analysis Framework for AI Systems: A Case Study Learning Transferable Visual Models From Natural Language Supervision

Reference 29

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Observation bd9ac2b9-57c8-4dda-9aba-3cb24824d9d2 · outbound

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HySafe-AI: Hybrid Safety Architectural Analysis Framework for AI Systems: A Case Study Sensors (Basel) (2024)

Reference 30

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HySafe-AI: Hybrid Safety Architectural Analysis Framework for AI Systems: A Case Study Unresolved cited work

Reference 31

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Observation 88f68d11-1fcb-4030-bdd6-4c697519a65d · outbound

This paper cites LM-Nav: Robotic Navigation with Large Pre-Trained Models of Language, Vision, and Action.

HySafe-AI: Hybrid Safety Architectural Analysis Framework for AI Systems: A Case Study LM-Nav: Robotic Navigation with Large Pre-Trained Models of Language, Vision, and Action

Reference 32

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Observation 63eb976d-32f5-44a1-96ab-7f1ad38ab810 · outbound

This paper cites IEEE Transactions on Pattern Analysis and Machine Intelligence 46(5), 3955–3971 (2024).

HySafe-AI: Hybrid Safety Architectural Analysis Framework for AI Systems: A Case Study IEEE Transactions on Pattern Analysis and Machine Intelligence 46(5), 3955–3971 (2024)

Reference 33

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Observation f6dbd897-e3a1-49c3-9590-2bd02e453835 · outbound

This paper cites In: 4th IEEE International Conference on Industrial Cyber-Physical Systems (2021).

HySafe-AI: Hybrid Safety Architectural Analysis Framework for AI Systems: A Case Study In: 4th IEEE International Conference on Industrial Cyber-Physical Systems (2021)

Reference 34

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Observation 19d77588-1c31-477b-b6d0-3f8cc5e3d1e9 · outbound

This paper cites In: IEEE International Conference on Robotics and Automation (2017).

HySafe-AI: Hybrid Safety Architectural Analysis Framework for AI Systems: A Case Study In: IEEE International Conference on Robotics and Automation (2017)

Reference 35

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Observation 04c5315c-7288-45a1-94bc-82b85cdde90a · outbound

This paper cites Performance Portable Monte Carlo Particle Transport on Intel, NVIDIA, and AMD GPUs.

HySafe-AI: Hybrid Safety Architectural Analysis Framework for AI Systems: A Case Study Performance Portable Monte Carlo Particle Transport on Intel, NVIDIA, and AMD GPUs

Reference 36

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Observation 5645fce9-30da-47a1-83c1-2f5e924ad543 · outbound

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HySafe-AI: Hybrid Safety Architectural Analysis Framework for AI Systems: A Case Study Unresolved cited work

Reference 37

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This paper cites Information Fusion 114, 102671 (2025).

HySafe-AI: Hybrid Safety Architectural Analysis Framework for AI Systems: A Case Study Information Fusion 114, 102671 (2025)

Reference 38

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Observation 0586065e-9978-422e-86e7-1d9da13a0772 · outbound

This paper cites GenAD: Generalized Predictive Model for Autonomous Driving.

HySafe-AI: Hybrid Safety Architectural Analysis Framework for AI Systems: A Case Study GenAD: Generalized Predictive Model for Autonomous Driving

Reference 39

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Observation fd211aee-348c-4602-aa45-6a5ee4c90d19 · outbound

This paper cites LLM4Drive: A Survey of Large Language Models for Autonomous Driving.

HySafe-AI: Hybrid Safety Architectural Analysis Framework for AI Systems: A Case Study LLM4Drive: A Survey of Large Language Models for Autonomous Driving

Reference 40

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Source-reported events for the cited work

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Pith citing papers

No inbound Pith citation observations are available.