Paper Citation Record · LEDGER

RiskFlow: Fast and Faithful Safety-Critical Traffic Scenario Generation

As of 8 August 2026, this Paper Citation Record lists 27 of 27 outbound references and 0 inbound Pith citation observations for arXiv:2606.06423.

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

pith.paper-citation-record.v1
2606.06423 v1

Coverage vector

measured 27 of 27 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-28T01:24:05.664747Z

measured 27 of 27 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+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

27 of 27 outbound references displayed

verified exact0
verified fuzzy0
unresolved23
parse uncertain0
malformed identifier0
metadata mismatch4

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ce6db45e-af3a-445a-a95d-de18a9f22c13 · outbound

This paper cites Transportation research part A: policy and practice , volume=.

RiskFlow: Fast and Faithful Safety-Critical Traffic Scenario Generation Transportation research part A: policy and practice , volume=

Reference 1

Resolution: unresolved; no resolver link, observed 2026-06-28T01:24:05.664747Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fed2f9d3-4f02-488e-a892-5607a8408e83 · outbound

This paper cites IEEE Transactions on Intelligent Transportation Systems , volume=.

RiskFlow: Fast and Faithful Safety-Critical Traffic Scenario Generation IEEE Transactions on Intelligent Transportation Systems , volume=

Reference 2

Resolution: unresolved; no resolver link, observed 2026-06-28T01:24:05.664747Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 206eb8bf-117e-4760-99ba-695be1571a47 · outbound

This paper cites Proceedings of the IEEE/CVF conference on computer vision and pattern recognition , pages=.

RiskFlow: Fast and Faithful Safety-Critical Traffic Scenario Generation Proceedings of the IEEE/CVF conference on computer vision and pattern recognition , pages=

Reference 3

Resolution: unresolved; no resolver link, observed 2026-06-28T01:24:05.664747Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 19ad15f4-4f3b-441a-ab60-026683b84c87 · outbound

This paper cites 2021 IEEE International Conference on Robotics and Automation (ICRA) , pages=.

RiskFlow: Fast and Faithful Safety-Critical Traffic Scenario Generation 2021 IEEE International Conference on Robotics and Automation (ICRA) , pages=

Reference 4

Resolution: unresolved; no resolver link, observed 2026-06-28T01:24:05.664747Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 659f9477-3038-49d4-9bb5-6473d3ff0e66 · outbound

This paper cites Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , pages=.

RiskFlow: Fast and Faithful Safety-Critical Traffic Scenario Generation Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , pages=

Reference 5

Resolution: unresolved; no resolver link, observed 2026-06-28T01:24:05.664747Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 85bc10b3-e71c-400b-afc3-4d574146f49a · outbound

This paper cites 2023 IEEE International Conference on Robotics and Automation (ICRA) , pages=.

RiskFlow: Fast and Faithful Safety-Critical Traffic Scenario Generation 2023 IEEE International Conference on Robotics and Automation (ICRA) , pages=

Reference 6

Resolution: unresolved; no resolver link, observed 2026-06-28T01:24:05.664747Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ce1ee947-bf48-4ad3-b5f6-8309142eabf6 · outbound

This paper cites Advances in neural information processing systems , volume=.

RiskFlow: Fast and Faithful Safety-Critical Traffic Scenario Generation Advances in neural information processing systems , volume=

Reference 7

Resolution: unresolved; no resolver link, observed 2026-06-28T01:24:05.664747Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0dbe02ed-ee6a-497a-a395-25b3bd096bd3 · outbound

This paper cites Denoising Diffusion Implicit Models.

RiskFlow: Fast and Faithful Safety-Critical Traffic Scenario Generation Denoising Diffusion Implicit Models

Reference 8

Resolution: metadata mismatch; local_arxiv, observed 2026-07-02T13:16:59.006925Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation a8f82c7e-038f-49e7-ae92-5096e7688e6e · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

RiskFlow: Fast and Faithful Safety-Critical Traffic Scenario Generation Advances in Neural Information Processing Systems , volume=

Reference 9

Resolution: unresolved; no resolver link, observed 2026-06-28T01:24:05.664747Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b519af30-8b26-4967-ba99-051fdd9b3f6f · outbound

This paper cites 2023 IEEE international conference on robotics and automation (ICRA) , pages=.

RiskFlow: Fast and Faithful Safety-Critical Traffic Scenario Generation 2023 IEEE international conference on robotics and automation (ICRA) , pages=

Reference 10

Resolution: unresolved; no resolver link, observed 2026-06-28T01:24:05.664747Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e7b00996-38a0-416a-b59c-b2d64078c4b9 · outbound

This paper cites Conference on robot learning , pages=.

RiskFlow: Fast and Faithful Safety-Critical Traffic Scenario Generation Conference on robot learning , pages=

Reference 11

Resolution: unresolved; no resolver link, observed 2026-06-28T01:24:05.664747Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 24ceaad8-ae7e-4d91-9e05-2af738da6f2b · outbound

This paper cites European conference on computer vision , pages=.

RiskFlow: Fast and Faithful Safety-Critical Traffic Scenario Generation European conference on computer vision , pages=

Reference 12

Resolution: unresolved; no resolver link, observed 2026-06-28T01:24:05.664747Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 88dec917-f4c9-43b0-b2a8-385bb1b18477 · outbound

This paper cites Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , pages=.

RiskFlow: Fast and Faithful Safety-Critical Traffic Scenario Generation Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , pages=

Reference 13

Resolution: unresolved; no resolver link, observed 2026-06-28T01:24:05.664747Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 33549526-5467-4e9b-9d40-c545c4b557d8 · outbound

This paper cites Proceedings of the IEEE/CVF conference on computer vision and pattern recognition , pages=.

RiskFlow: Fast and Faithful Safety-Critical Traffic Scenario Generation Proceedings of the IEEE/CVF conference on computer vision and pattern recognition , pages=

Reference 14

Resolution: unresolved; no resolver link, observed 2026-06-28T01:24:05.664747Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9ae06cd4-afc8-4718-a84d-9035140ddc2a · outbound

This paper cites Scene Transformer: A unified architecture for predicting multiple agent trajectories.

RiskFlow: Fast and Faithful Safety-Critical Traffic Scenario Generation Scene Transformer: A unified architecture for predicting multiple agent trajectories

Reference 15

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T13:16:59.003773Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 503ca8c4-a0ba-4624-9a0d-4230193172a7 · outbound

This paper cites Proceedings of the IEEE/CVF conference on computer vision and pattern recognition , pages=.

RiskFlow: Fast and Faithful Safety-Critical Traffic Scenario Generation Proceedings of the IEEE/CVF conference on computer vision and pattern recognition , pages=

Reference 16

Resolution: unresolved; no resolver link, observed 2026-06-28T01:24:05.664747Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2bbc47c7-103c-4b03-9c2f-131cfe05abaa · outbound

This paper cites 2023 IEEE International Conference on Robotics and Automation (ICRA) , pages=.

RiskFlow: Fast and Faithful Safety-Critical Traffic Scenario Generation 2023 IEEE International Conference on Robotics and Automation (ICRA) , pages=

Reference 17

Resolution: unresolved; no resolver link, observed 2026-06-28T01:24:05.664747Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5d37564c-a73b-4662-ae73-761926ccaa64 · outbound

This paper cites Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , pages=.

RiskFlow: Fast and Faithful Safety-Critical Traffic Scenario Generation Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , pages=

Reference 18

Resolution: unresolved; no resolver link, observed 2026-06-28T01:24:05.664747Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a76e641c-9df1-4543-aef3-e3378b7f265c · outbound

This paper cites Proceedings of the IEEE/CVF international conference on computer vision , pages=.

RiskFlow: Fast and Faithful Safety-Critical Traffic Scenario Generation Proceedings of the IEEE/CVF international conference on computer vision , pages=

Reference 19

Resolution: unresolved; no resolver link, observed 2026-06-28T01:24:05.664747Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 53e0ad82-693c-4a77-b0a4-3518c098bc1c · outbound

This paper cites Proceedings of the AAAI Conference on Artificial Intelligence , volume=.

RiskFlow: Fast and Faithful Safety-Critical Traffic Scenario Generation Proceedings of the AAAI Conference on Artificial Intelligence , volume=

Reference 20

Resolution: unresolved; no resolver link, observed 2026-06-28T01:24:05.664747Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0133628d-ae1b-406a-8422-a7156a4e7cf4 · outbound

This paper cites Advances in neural information processing systems , volume=.

RiskFlow: Fast and Faithful Safety-Critical Traffic Scenario Generation Advances in neural information processing systems , volume=

Reference 21

Resolution: unresolved; no resolver link, observed 2026-06-28T01:24:05.664747Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c3ef15ae-da10-49b3-ae2c-abb6e61f2186 · outbound

This paper cites Classifier-Free Diffusion Guidance.

RiskFlow: Fast and Faithful Safety-Critical Traffic Scenario Generation Classifier-Free Diffusion Guidance

Reference 22

Resolution: metadata mismatch; local_arxiv, observed 2026-07-02T13:16:59.001160Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 3cf5402e-5a9d-47ff-af95-8747ecac6930 · outbound

This paper cites Proceedings of the IEEE/CVF conference on computer vision and pattern recognition , pages=.

RiskFlow: Fast and Faithful Safety-Critical Traffic Scenario Generation Proceedings of the IEEE/CVF conference on computer vision and pattern recognition , pages=

Reference 23

Resolution: unresolved; no resolver link, observed 2026-06-28T01:24:05.664747Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8e096e96-7ecb-482f-8b93-73f40b7f0fd9 · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

RiskFlow: Fast and Faithful Safety-Critical Traffic Scenario Generation Advances in Neural Information Processing Systems , volume=

Reference 24

Resolution: unresolved; no resolver link, observed 2026-06-28T01:24:05.664747Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 10c3373a-089b-4468-82f6-7e71e5714260 · outbound

This paper cites 2024 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) , pages=.

RiskFlow: Fast and Faithful Safety-Critical Traffic Scenario Generation 2024 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) , pages=

Reference 25

Resolution: unresolved; no resolver link, observed 2026-06-28T01:24:05.664747Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6d7f17c8-d868-4451-a136-ab58e43fe1ee · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

RiskFlow: Fast and Faithful Safety-Critical Traffic Scenario Generation Advances in Neural Information Processing Systems , volume=

Reference 26

Resolution: unresolved; no resolver link, observed 2026-06-28T01:24:05.664747Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bdfbe588-3fa7-44a2-ae16-1de8ca66ea3f · outbound

This paper cites Improved Mean Flows: On the Challenges of Fastforward Generative Models.

RiskFlow: Fast and Faithful Safety-Critical Traffic Scenario Generation Improved Mean Flows: On the Challenges of Fastforward Generative Models

Reference 27

Resolution: metadata mismatch; local_arxiv, observed 2026-07-02T13:16:59.003239Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Pith citing papers

No inbound Pith citation observations are available.