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Paper Citation Record · LEDGER

CCFM: Collision-Constrained Flow Matching for Safety-Critical Scenario Generation

As of 20 August 2026, this Paper Citation Record lists 39 of 39 outbound references and 0 inbound Pith citation observations for arXiv:2607.04451.

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

pith.paper-citation-record.v1
2607.04451 v1

Coverage vector

measured 39 of 39 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-11T19:04:23.977767Z

measured 39 of 39 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+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

39 of 39 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved38
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 57f810eb-c6da-4aea-8f32-d5051874b7ba · outbound

This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2020).

CCFM: Collision-Constrained Flow Matching for Safety-Critical Scenario Generation In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2020)

Reference 1

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source=pdf_text observed=2026-07-11T19:04:23.977767Z digest=sha256:e1aaec9b2908f89bcd6e885d50a5ba595866ba33c330e36a2507f4e35ac9a6ce

Observation 53c50d4b-a9e9-4e07-9173-cbd1cda18635 · outbound

This paper cites NuPlan: A closed-loop ML-based planning benchmark for autonomous vehicles.

CCFM: Collision-Constrained Flow Matching for Safety-Critical Scenario Generation NuPlan: A closed-loop ML-based planning benchmark for autonomous vehicles

Reference 2

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source=pdf_text observed=2026-07-11T19:04:23.977767Z digest=sha256:35b2b00fbeef602e5ebfa65193227d622a25f913a9beddfa00c0b4ddce935877

Observation 7932b14e-e2c2-484c-b3f4-a6bd3cc53fb1 · outbound

This paper cites In: Computer Vision – ECCV 2024.

CCFM: Collision-Constrained Flow Matching for Safety-Critical Scenario Generation In: Computer Vision – ECCV 2024

Reference 3

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Observation 8bc4b794-b4a9-44e8-8c7b-11a60bd795af · outbound

This paper cites In: 8th Annual Conference on Robot Learning (2024).

CCFM: Collision-Constrained Flow Matching for Safety-Critical Scenario Generation In: 8th Annual Conference on Robot Learning (2024)

Reference 4

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source=pdf_text observed=2026-07-11T19:04:23.977767Z digest=sha256:cdc4a652a75fbe20117f971413bfa1e2944bcea64eca368f3292a092003b15c5

Observation 609f9a90-c608-4324-a7f4-bd4354062076 · outbound

This paper cites In: Computer Vision – ECCV 2024.

CCFM: Collision-Constrained Flow Matching for Safety-Critical Scenario Generation In: Computer Vision – ECCV 2024

Reference 5

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source=pdf_text observed=2026-07-11T19:04:23.977767Z digest=sha256:5e9ab4326811aa0e4c3d0c2a37dd2431f9fd0ecc16122c3e4e7270570541662d

Observation 2484413d-f274-46c4-9dc9-88ab52f7758b · outbound

This paper cites In: Conference on Robot Learning (CoRL) (2023).

CCFM: Collision-Constrained Flow Matching for Safety-Critical Scenario Generation In: Conference on Robot Learning (CoRL) (2023)

Reference 6

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source=pdf_text observed=2026-07-11T19:04:23.977767Z digest=sha256:de8d1272d489a22566ea3d030eac974b0c237daf921b1a4910f70d5cf9332928

Observation 89ede5c3-7b34-4e30-b490-cc78b1896450 · outbound

This paper cites IEEE Transactions on Intelligent Transportation Systems24(7), 6971–6988 (2023).

CCFM: Collision-Constrained Flow Matching for Safety-Critical Scenario Generation IEEE Transactions on Intelligent Transportation Systems24(7), 6971–6988 (2023)

Reference 7

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source=pdf_text observed=2026-07-11T19:04:23.977767Z digest=sha256:a611e7dce199863cf9f90b72aae4cba074fefb411187c579a72ee65c87eee2ba

Observation 89b20a0e-18a1-491a-bdcf-41cf5566f75d · outbound

This paper cites In: 2023 IEEE International Conference on Robotics and Automation (ICRA).

CCFM: Collision-Constrained Flow Matching for Safety-Critical Scenario Generation In: 2023 IEEE International Conference on Robotics and Automation (ICRA)

Reference 8

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source=pdf_text observed=2026-07-11T19:04:23.977767Z digest=sha256:4c7d03a0cce35911b729b99eba7e75dd2cde04aba1674329acb33ccbcbdee290

Observation 49ba6080-4ce0-40de-a903-94fea0859303 · outbound

This paper cites In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (2018).

CCFM: Collision-Constrained Flow Matching for Safety-Critical Scenario Generation In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (2018)

Reference 9

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source=pdf_text observed=2026-07-11T19:04:23.977767Z digest=sha256:ff5b583228d622df65b95b8cee39399335a847b0a6cfb19f5944fc81858d4975

Observation e9e59115-a421-4a39-a233-12155a0105eb · outbound

This paper cites In: Computer Vision – ECCV 2022.

CCFM: Collision-Constrained Flow Matching for Safety-Critical Scenario Generation In: Computer Vision – ECCV 2022

Reference 10

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Observation 22e3993d-fcff-4fb6-9693-1f486ad8062e · outbound

This paper cites an unresolved cited work.

CCFM: Collision-Constrained Flow Matching for Safety-Critical Scenario Generation Unresolved cited work

Reference 11

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Observation 435382b5-7fcd-4dca-92ef-ae174e5ea6e7 · outbound

This paper cites In: Advances in Neural Information Processing Systems.

CCFM: Collision-Constrained Flow Matching for Safety-Critical Scenario Generation In: Advances in Neural Information Processing Systems

Reference 12

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Observation e9124d74-d4fe-475b-9d29-4fa07d4a506e · outbound

This paper cites In: International Conference on Machine Learning (2022).

CCFM: Collision-Constrained Flow Matching for Safety-Critical Scenario Generation In: International Conference on Machine Learning (2022)

Reference 13

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source=pdf_text observed=2026-07-11T19:04:23.977767Z digest=sha256:7726c6ca236c56ecf9d0c96475cf196d132183712ac24b74720f7dd1b75e4f41

Observation e31b8a87-c079-498c-8713-5e43b3a200ad · outbound

This paper cites In: 2018 IEEE Intelligent Vehicles Symposium (IV).

CCFM: Collision-Constrained Flow Matching for Safety-Critical Scenario Generation In: 2018 IEEE Intelligent Vehicles Symposium (IV)

Reference 14

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source=pdf_text observed=2026-07-11T19:04:23.977767Z digest=sha256:d49cb1f2d9965404e592dd54b28a122a8f5e56691034260cced93b2a160750fd

Observation b2a8e153-bf06-475b-9e6d-af1fa1de292e · outbound

This paper cites HardFlow: Hard-Constrained Sampling for Flow-Matching Models via Trajectory Optimization.

CCFM: Collision-Constrained Flow Matching for Safety-Critical Scenario Generation HardFlow: Hard-Constrained Sampling for Flow-Matching Models via Trajectory Optimization

Reference 15

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source=pdf_text observed=2026-07-11T19:04:23.977767Z digest=sha256:6fead93d5a5bb385013dbbf79f839f8a32d4f9ca8cc979053217a08c0e73ee6e

Observation 4fd3dec1-f413-4b92-a7e3-cf196b3d359d · outbound

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

CCFM: Collision-Constrained Flow Matching for Safety-Critical Scenario Generation In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Reference 16

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source=pdf_text observed=2026-07-11T19:04:23.977767Z digest=sha256:686257c7afd4aae65efab90813b2f42a5f5cd71dc453ba35e115b01b80bd4a64

Observation a7e36e5e-165d-48ed-b3d8-a4abb3cccc17 · outbound

This paper cites In: The Eleventh International Conference on Learning Representations (2023).

CCFM: Collision-Constrained Flow Matching for Safety-Critical Scenario Generation In: The Eleventh International Conference on Learning Representations (2023)

Reference 17

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Observation 2d70730a-593b-428e-adb9-44f384ed16f2 · outbound

This paper cites Nature Communica- tions15(1), 4808 (2024).

CCFM: Collision-Constrained Flow Matching for Safety-Critical Scenario Generation Nature Communica- tions15(1), 4808 (2024)

Reference 18

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Observation 85178b95-ca2f-4e0d-9422-e9a41de62c0d · outbound

This paper cites In: The Eleventh International Conference on Learning Representations (2023).

CCFM: Collision-Constrained Flow Matching for Safety-Critical Scenario Generation In: The Eleventh International Conference on Learning Representations (2023)

Reference 19

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source=pdf_text observed=2026-07-11T19:04:23.977767Z digest=sha256:a879778eb255cc5e94406eb3ae472512cbe380388a6832d2b8ee68239bca0751

Observation 7fe93966-fd41-4f3b-9df1-6eb688134e28 · outbound

This paper cites In: Advances in Neural Information Processing Systems.

CCFM: Collision-Constrained Flow Matching for Safety-Critical Scenario Generation In: Advances in Neural Information Processing Systems

Reference 20

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Observation 32f5e6f3-c04f-4215-93cd-a861f215ec99 · outbound

This paper cites Steerable Adversarial Scenario Generation through Test-Time Preference Alignment.

CCFM: Collision-Constrained Flow Matching for Safety-Critical Scenario Generation Steerable Adversarial Scenario Generation through Test-Time Preference Alignment

Reference 21

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source=pdf_text observed=2026-07-11T19:04:23.977767Z digest=sha256:c3f4233fa6ec40616c1514d5a1c9563ae349930750b8f4c8f141d0db182cd4b2

Observation ed63e8e5-b0cf-48bc-8730-87877353072d · outbound

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

CCFM: Collision-Constrained Flow Matching for Safety-Critical Scenario Generation In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Reference 22

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source=pdf_text observed=2026-07-11T19:04:23.977767Z digest=sha256:1d754d53fa328c5cdd81003b800a3e5d4a9187ce73127e6b2ec57357eec48783

Observation 02d93237-4fc9-404c-a8d1-db1765c41f13 · outbound

This paper cites LD-Scene: LLM-Guided Diffusion for Controllable Generation of Adversarial Safety-Critical Driving Scenarios.

CCFM: Collision-Constrained Flow Matching for Safety-Critical Scenario Generation LD-Scene: LLM-Guided Diffusion for Controllable Generation of Adversarial Safety-Critical Driving Scenarios

Reference 23

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Observation 9d77b947-13e7-4e7e-96c2-91ea89a5df6e · outbound

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

CCFM: Collision-Constrained Flow Matching for Safety-Critical Scenario Generation In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Reference 24

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source=pdf_text observed=2026-07-11T19:04:23.977767Z digest=sha256:c07d56619af3df7a2cdfcc68247ebf0c9daf55fcd0b301761432eb097cec0622

Observation c525b190-88fc-4e0d-8274-646c7fcf771c · outbound

This paper cites In: Computer Vision – ECCV 2020.

CCFM: Collision-Constrained Flow Matching for Safety-Critical Scenario Generation In: Computer Vision – ECCV 2020

Reference 25

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Observation bc2fa7fe-afc1-4f7e-9472-927ecb6ef54b · outbound

This paper cites In: Interna- tional Conference on Learning Representations (2021).

CCFM: Collision-Constrained Flow Matching for Safety-Critical Scenario Generation In: Interna- tional Conference on Learning Representations (2021)

Reference 26

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source=pdf_text observed=2026-07-11T19:04:23.977767Z digest=sha256:e9ab6db2024d8a870431e70b2d5d676e3e7a5a5b2efb87b6395f9dcaf6a51f4f

Observation e5cd6110-ce5e-4422-af8a-4179bbfb1cbe · outbound

This paper cites 38310–38335 (2025).

CCFM: Collision-Constrained Flow Matching for Safety-Critical Scenario Generation 38310–38335 (2025)

Reference 27

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Observation e482ba9a-c0f7-4460-aadf-1319f7c788aa · outbound

This paper cites Improving and generalizing flow-based generative models with minibatch optimal transport.

CCFM: Collision-Constrained Flow Matching for Safety-Critical Scenario Generation Improving and generalizing flow-based generative models with minibatch optimal transport

Reference 28

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Observation 29dbc51a-667e-4214-af1b-2aed38b07464 · outbound

This paper cites Physical review E62(2), 1805 (2000).

CCFM: Collision-Constrained Flow Matching for Safety-Critical Scenario Generation Physical review E62(2), 1805 (2000)

Reference 29

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Observation 2a3aaeac-d7fa-413e-ae08-71f50eb7e66e · outbound

This paper cites In: The Thirty-ninth Annual Conference on Neural Information Process- ing Systems (2025).

CCFM: Collision-Constrained Flow Matching for Safety-Critical Scenario Generation In: The Thirty-ninth Annual Conference on Neural Information Process- ing Systems (2025)

Reference 30

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Observation 1da64f16-bf8a-4bdb-baed-8eb69cabdd51 · outbound

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

CCFM: Collision-Constrained Flow Matching for Safety-Critical Scenario Generation In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Reference 31

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Observation a69162b8-be71-4d5a-bd3e-389ecddeb2c2 · outbound

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

CCFM: Collision-Constrained Flow Matching for Safety-Critical Scenario Generation In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Reference 32

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source=pdf_text observed=2026-07-11T19:04:23.977767Z digest=sha256:44b7637f9ca4af24d7ffd5ff452382fe0a860e4ff9708dd593808333bd9f76e3

Observation e5af6961-3cfc-421c-a987-6f06ee74f5b7 · outbound

This paper cites Proceedings of the AAAI Conference on Artificial Intelligence39(8), 8797–8805 (2025).

CCFM: Collision-Constrained Flow Matching for Safety-Critical Scenario Generation Proceedings of the AAAI Conference on Artificial Intelligence39(8), 8797–8805 (2025)

Reference 33

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source=pdf_text observed=2026-07-11T19:04:23.977767Z digest=sha256:94909422bf82b6aafc60563c0b51db2b118cc608e1b175e975e374709300206a

Observation a02775e0-daed-4e89-91d6-72ec8bc2bee3 · outbound

This paper cites In: 2023 IEEE International Conference on Robotics and Automation (ICRA).

CCFM: Collision-Constrained Flow Matching for Safety-Critical Scenario Generation In: 2023 IEEE International Conference on Robotics and Automation (ICRA)

Reference 34

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Observation 1fe64dbf-03a0-49d1-ab8b-7ef03ecc9ad0 · outbound

This paper cites In: Computer Vision – ECCV 2024 Workshops.

CCFM: Collision-Constrained Flow Matching for Safety-Critical Scenario Generation In: Computer Vision – ECCV 2024 Workshops

Reference 35

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Observation 83599ee6-3010-4e35-8543-3e400d85f59c · outbound

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

CCFM: Collision-Constrained Flow Matching for Safety-Critical Scenario Generation In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Reference 36

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source=pdf_text observed=2026-07-11T19:04:23.977767Z digest=sha256:0c4c81e6af9784a12602bf02846951e2e984c4734dadf7c3cb483a87bed2a1c3

Observation e21563fb-e320-4d0f-a00b-ec508edfc37d · outbound

This paper cites In: Proceedings of The 7th Conference on Robot Learning.

CCFM: Collision-Constrained Flow Matching for Safety-Critical Scenario Generation In: Proceedings of The 7th Conference on Robot Learning

Reference 37

Resolution
unresolved
no resolver link, observed 2026-07-11T19:04:23.977767Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T19:04:23.977767Z digest=sha256:4f31d834639d8a5174b75215ff84318a679ff6357aeb6908a90c2ad4b608aa6d

Observation 51999183-4c73-4fb2-8ac1-a69b44d025d2 · outbound

This paper cites In: 2023 IEEE International Conference on Robotics and Automation (ICRA).

CCFM: Collision-Constrained Flow Matching for Safety-Critical Scenario Generation In: 2023 IEEE International Conference on Robotics and Automation (ICRA)

Reference 38

Resolution
unresolved
no resolver link, observed 2026-07-11T19:04:23.977767Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T19:04:23.977767Z digest=sha256:6e00d0a2f235e2b6cc5fd949b1ad86d6e0032b60047b01c0c7d59f057cb1bd5c

Observation e408de2a-9326-4c3a-99c0-c7b164ebedd7 · outbound

This paper cites αm 1−α m #T.

CCFM: Collision-Constrained Flow Matching for Safety-Critical Scenario Generation αm 1−α m #T

Reference 39

Resolution
malformed identifier
no resolver link, observed 2026-07-11T19:04:23.977767Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T19:04:23.977767Z digest=sha256:5ccd4f54ce377d568c6fb28618d42c3713d44d27a2ca44632d866d3f17064df6

Pith citing papers

No inbound Pith citation observations are available.