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Paper Citation Record · LEDGER

Improving Multi-Vehicle Perception Fusion with Millimeter-Wave Radar Assistance

As of 9 August 2026, this Paper Citation Record lists 39 of 39 outbound references and 0 inbound Pith citation observations for arXiv:2506.00837.

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

pith.paper-citation-record.v1
2506.00837 v1

Coverage vector

measured 39 of 39 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:02:30.882849Z

measured 39 of 39 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+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 exact1
  • verified fuzzy24
  • unresolved14
  • parse uncertain0
  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d10c252f-4be4-45ee-a3ec-5aa183042f79 · outbound

This paper cites Simultaneous localization and mapping: A survey of current trends in autonomous driving,.

Improving Multi-Vehicle Perception Fusion with Millimeter-Wave Radar Assistance Simultaneous localization and mapping: A survey of current trends in autonomous driving,

Reference 1

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 4c7945ff-c0c3-4c6f-ab91-2ffc669010eb · outbound

This paper cites Avr: Augmented vehicular reality,.

Improving Multi-Vehicle Perception Fusion with Millimeter-Wave Radar Assistance Avr: Augmented vehicular reality,

Reference 2

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 87882b67-2b32-4d76-9608-40687eb15cc5 · outbound

This paper cites Survey on cooperative perception in an automotive context,.

Improving Multi-Vehicle Perception Fusion with Millimeter-Wave Radar Assistance Survey on cooperative perception in an automotive context,

Reference 3

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Observation 3b548c47-60ab-49cf-83d5-e8e2aeb218e1 · outbound

This paper cites Toward col- laborative occlusion-free perception in connected autonomous vehicles,.

Improving Multi-Vehicle Perception Fusion with Millimeter-Wave Radar Assistance Toward col- laborative occlusion-free perception in connected autonomous vehicles,

Reference 4

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 43bf99dc-0ffb-4912-82cf-d6db77e510b2 · outbound

This paper cites Cooperative perception for 3d object detection in driving scenarios using infrastruc- ture sensors,.

Improving Multi-Vehicle Perception Fusion with Millimeter-Wave Radar Assistance Cooperative perception for 3d object detection in driving scenarios using infrastruc- ture sensors,

Reference 5

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Observation 1ee7dadd-cecf-4bed-bfe3-813c56c9fc95 · outbound

This paper cites Vi-eye: Semantic- based 3d point cloud registration for infrastructure-assisted autonomous driving,.

Improving Multi-Vehicle Perception Fusion with Millimeter-Wave Radar Assistance Vi-eye: Semantic- based 3d point cloud registration for infrastructure-assisted autonomous driving,

Reference 6

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 8e2285a0-9e65-4365-ab13-a591330bc4b3 · outbound

This paper cites Vips: Real-time perception fusion for infrastructure-assisted autonomous driv- ing,.

Improving Multi-Vehicle Perception Fusion with Millimeter-Wave Radar Assistance Vips: Real-time perception fusion for infrastructure-assisted autonomous driv- ing,

Reference 7

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 9f1d9d21-bc80-416c-a7a1-60e58a58a7a4 · outbound

This paper cites A survey on lidar scanning mechanisms,.

Improving Multi-Vehicle Perception Fusion with Millimeter-Wave Radar Assistance A survey on lidar scanning mechanisms,

Reference 8

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Observation 2ece00e9-1a22-4819-9fdf-ff162c44a8c8 · outbound

This paper cites Robust metric localization in autonomous driving via doppler compensation with single-chip radar,.

Improving Multi-Vehicle Perception Fusion with Millimeter-Wave Radar Assistance Robust metric localization in autonomous driving via doppler compensation with single-chip radar,

Reference 9

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 78f2f0fb-0c0d-49f9-b76e-7a0a52b663fd · outbound

This paper cites millieye: A lightweight mmwave radar and camera fusion system for robust object detection,.

Improving Multi-Vehicle Perception Fusion with Millimeter-Wave Radar Assistance millieye: A lightweight mmwave radar and camera fusion system for robust object detection,

Reference 10

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 2af587c3-5ee5-43ce-8049-f3cb7d26ec1d · outbound

This paper cites Automatch: Leveraging traffic camera to improve perception and lo- calization of autonomous vehicles,.

Improving Multi-Vehicle Perception Fusion with Millimeter-Wave Radar Assistance Automatch: Leveraging traffic camera to improve perception and lo- calization of autonomous vehicles,

Reference 11

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 236e9491-e28a-49ff-ae3d-c6014471a20c · outbound

This paper cites Instantaneous ego-motion estimation using doppler radar,.

Improving Multi-Vehicle Perception Fusion with Millimeter-Wave Radar Assistance Instantaneous ego-motion estimation using doppler radar,

Reference 12

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Observation 0fc125b9-10fb-4f0d-bcd2-0e30dfb2d0a4 · outbound

This paper cites Dc-loc: Accurate automotive radar based metric localization with explicit doppler compensation,.

Improving Multi-Vehicle Perception Fusion with Millimeter-Wave Radar Assistance Dc-loc: Accurate automotive radar based metric localization with explicit doppler compensation,

Reference 13

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 6a21e3ee-5111-4fa4-823f-0fd65e9e252a · outbound

This paper cites Objects as Points.

Improving Multi-Vehicle Perception Fusion with Millimeter-Wave Radar Assistance Objects as Points

Reference 14

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source=pdf_text observed=2026-08-07T12:02:27.970818Z digest=sha256:4910ca7f3ffc834c077ee4a2e4e80faf80daa1aa9e1cb7a68c7781ad84035b70

Observation 6c37447c-a6a8-401c-8267-bb9ca829e746 · outbound

This paper cites Centerfusion: Center-based radar and camera fusion for 3d object detection,.

Improving Multi-Vehicle Perception Fusion with Millimeter-Wave Radar Assistance Centerfusion: Center-based radar and camera fusion for 3d object detection,

Reference 15

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Observation 1cfe4a03-ff57-4d7d-8ec7-f34ce9fc4082 · outbound

This paper cites Mobilenetv2: Inverted residuals and linear bottlenecks,.

Improving Multi-Vehicle Perception Fusion with Millimeter-Wave Radar Assistance Mobilenetv2: Inverted residuals and linear bottlenecks,

Reference 16

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Observation 88c899ed-6b54-4a60-b382-75a808610f48 · outbound

This paper cites Grarep: Learning graph representations with global structural information,.

Improving Multi-Vehicle Perception Fusion with Millimeter-Wave Radar Assistance Grarep: Learning graph representations with global structural information,

Reference 17

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 1f639ab3-b3ea-486d-bb1d-fe2ffb37fd5f · outbound

This paper cites Neural message passing for quantum chemistry,.

Improving Multi-Vehicle Perception Fusion with Millimeter-Wave Radar Assistance Neural message passing for quantum chemistry,

Reference 18

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Observation 1115d65d-2918-48a5-91ef-a6a0144d05c9 · outbound

This paper cites Addressing data association by message passing over graph neural networks,.

Improving Multi-Vehicle Perception Fusion with Millimeter-Wave Radar Assistance Addressing data association by message passing over graph neural networks,

Reference 19

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 8a800943-9515-46e7-a034-e7875838a4f3 · outbound

This paper cites Learning a neural solver for multiple object tracking,.

Improving Multi-Vehicle Perception Fusion with Millimeter-Wave Radar Assistance Learning a neural solver for multiple object tracking,

Reference 20

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation a046f9ea-0db5-4e3b-8e08-740e7bb0c110 · outbound

This paper cites Fast-lio: A fast, robust lidar-inertial odometry package by tightly-coupled iterated kalman filter,.

Improving Multi-Vehicle Perception Fusion with Millimeter-Wave Radar Assistance Fast-lio: A fast, robust lidar-inertial odometry package by tightly-coupled iterated kalman filter,

Reference 21

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Observation df6fd71d-f0b7-495a-b2b1-3a775122fb4c · outbound

This paper cites Linear least-squares optimization for point-to-plane icp surface registration,.

Improving Multi-Vehicle Perception Fusion with Millimeter-Wave Radar Assistance Linear least-squares optimization for point-to-plane icp surface registration,

Reference 22

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation b7e9f93b-7c6a-4c66-a337-3d1d6c3be9a0 · outbound

This paper cites The normal distributions transform: A new approach to laser scan matching,.

Improving Multi-Vehicle Perception Fusion with Millimeter-Wave Radar Assistance The normal distributions transform: A new approach to laser scan matching,

Reference 23

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Observation 6ccdf461-62f6-40ac-8e34-6e34b4d98ce5 · outbound

This paper cites V oxelized gicp for fast and accurate 3d point cloud registration,.

Improving Multi-Vehicle Perception Fusion with Millimeter-Wave Radar Assistance V oxelized gicp for fast and accurate 3d point cloud registration,

Reference 24

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verified fuzzy
raw_fallback, observed 2026-08-07T12:02:33.291108Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation bfd9f1c6-46c6-4d3e-b957-896ed59dcd79 · outbound

This paper cites Fast global registration,.

Improving Multi-Vehicle Perception Fusion with Millimeter-Wave Radar Assistance Fast global registration,

Reference 25

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verified fuzzy
raw_fallback, observed 2026-08-07T12:02:33.146251Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 01c3f9cf-c11b-40a0-87f5-785e8a5d2409 · outbound

This paper cites Buffer: Balancing accuracy, efficiency, and generalizability in point cloud registration,.

Improving Multi-Vehicle Perception Fusion with Millimeter-Wave Radar Assistance Buffer: Balancing accuracy, efficiency, and generalizability in point cloud registration,

Reference 26

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raw_fallback, observed 2026-08-07T12:02:33.012142Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 2d7e0b9d-d01f-47b6-9270-8f5e8bdd5a02 · outbound

This paper cites Stochastic modeling of beam management in mmwave vehicular networks,.

Improving Multi-Vehicle Perception Fusion with Millimeter-Wave Radar Assistance Stochastic modeling of beam management in mmwave vehicular networks,

Reference 27

Resolution
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raw_fallback, observed 2026-08-07T12:02:32.906529Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 96a43426-16b4-4532-82e4-a6cd204ebdce · outbound

This paper cites Edge- enabled v2x service placement for intelligent transportation systems,.

Improving Multi-Vehicle Perception Fusion with Millimeter-Wave Radar Assistance Edge- enabled v2x service placement for intelligent transportation systems,

Reference 28

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raw_fallback, observed 2026-08-07T12:02:32.775974Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T12:02:29.382016Z digest=sha256:130b4e1973a10583414987c99bb9fa9cad1dab5d38ef87d76ed0b426fd30f79c

Observation 2cf04466-ffbf-4245-977f-bef40018998b · outbound

This paper cites Multi-technology cooperative driving: An analysis based on plexe,.

Improving Multi-Vehicle Perception Fusion with Millimeter-Wave Radar Assistance Multi-technology cooperative driving: An analysis based on plexe,

Reference 29

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raw_fallback, observed 2026-08-07T12:02:32.528200Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 05c89860-f576-4052-b6ce-9ab0ee011847 · outbound

This paper cites AutoCast: Scalable Infrastructure-less Cooperative Perception for Distributed Collaborative Driving.

Improving Multi-Vehicle Perception Fusion with Millimeter-Wave Radar Assistance AutoCast: Scalable Infrastructure-less Cooperative Perception for Distributed Collaborative Driving

Reference 30

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 2146960f-1d94-46a2-bd7d-2a7369356cfc · outbound

This paper cites Method for registration of 3-d shapes,.

Improving Multi-Vehicle Perception Fusion with Millimeter-Wave Radar Assistance Method for registration of 3-d shapes,

Reference 31

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:02:29.655380Z digest=sha256:0193c67240d2a3a40fe6369539c1f2ac439d3d3813fdf3fe4c15f1b7237041a2

Observation b3a3ead8-5c46-4891-819f-f3411867150e · outbound

This paper cites Lidar slam based multivehicle cooperative localization using iterated split cif,.

Improving Multi-Vehicle Perception Fusion with Millimeter-Wave Radar Assistance Lidar slam based multivehicle cooperative localization using iterated split cif,

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:02:32.314079Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T12:02:29.781951Z digest=sha256:e8c469d7fb89a5aba8385b42c2e9cea0b6ece1f4f2391f5254cf8f908b532ecb

Observation 8a1cf731-06a3-435d-8416-e111e2e29e4d · outbound

This paper cites Filterreg: Robust and efficient probabilistic point-set registration using gaussian filter and twist parameterization,.

Improving Multi-Vehicle Perception Fusion with Millimeter-Wave Radar Assistance Filterreg: Robust and efficient probabilistic point-set registration using gaussian filter and twist parameterization,

Reference 33

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raw_fallback, observed 2026-08-07T12:02:32.090268Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T12:02:29.920836Z digest=sha256:486112243a7be8a98fa4a7ec23250aefc9f5507d9ec9fa5f780925a2a44ef5bd

Observation 28b7cf24-d9b5-488f-9773-96bb79344845 · outbound

This paper cites Cooper: Cooperative perception for connected autonomous vehicles based on 3d point clouds,.

Improving Multi-Vehicle Perception Fusion with Millimeter-Wave Radar Assistance Cooper: Cooperative perception for connected autonomous vehicles based on 3d point clouds,

Reference 34

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:02:30.045648Z digest=sha256:97a1ee7a1cead238a69d45d77751c21dbbb412a2742c076dc2a2c9e0b992dbaa

Observation 41b5c8b9-d286-4265-b5b2-c430fac937be · outbound

This paper cites Learning to communicate and correct pose errors,.

Improving Multi-Vehicle Perception Fusion with Millimeter-Wave Radar Assistance Learning to communicate and correct pose errors,

Reference 35

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verified fuzzy
raw_fallback, observed 2026-08-07T12:02:31.861244Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T12:02:30.162057Z digest=sha256:15bf072f7759a164180830119cb57cdad20e3deb66996fa72ba72326d91b9cdb

Observation f1869da5-26b7-4e29-8e0d-eefba3e896f1 · outbound

This paper cites Leveraging Dynamic Objects for Relative Localization Correction in a Connected Autonomous Vehicle Network.

Improving Multi-Vehicle Perception Fusion with Millimeter-Wave Radar Assistance Leveraging Dynamic Objects for Relative Localization Correction in a Connected Autonomous Vehicle Network

Reference 36

Resolution
verified exact
local_arxiv, observed 2026-08-07T12:02:31.101022Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T12:02:30.348227Z digest=sha256:27cb858c3006d14ee8118fd94d6aab67391e0dd271391ae0ecf2839a261b9631

Observation bf560d97-3b55-4985-b6b0-132af276f90f · outbound

This paper cites Fusioneye: Perception sharing for connected vehicles and its bandwidth-accuracy trade-offs,.

Improving Multi-Vehicle Perception Fusion with Millimeter-Wave Radar Assistance Fusioneye: Perception sharing for connected vehicles and its bandwidth-accuracy trade-offs,

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-07T12:02:30.521302Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:02:30.521302Z digest=sha256:2bf1a59dbbe63a67b36cdd88b33d7698c6b39dce69031668d1e341aca9ac4f93

Observation 4fbaab46-0bd1-4d30-9dbe-b1e62d411105 · outbound

This paper cites A review of point cloud registration algorithms for mobile robotics,.

Improving Multi-Vehicle Perception Fusion with Millimeter-Wave Radar Assistance A review of point cloud registration algorithms for mobile robotics,

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:02:31.641150Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T12:02:30.739508Z digest=sha256:b9f752d45af9ff407cd5bc1e58a425c5345f758290ec2c50bf64f8b9d22c4609

Observation dba1287c-9d2b-48d2-a8e0-61c6358bae52 · outbound

This paper cites Generalized iterative most likely oriented- point (g-imlop) registration,.

Improving Multi-Vehicle Perception Fusion with Millimeter-Wave Radar Assistance Generalized iterative most likely oriented- point (g-imlop) registration,

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:02:31.401591Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T12:02:30.882849Z digest=sha256:c4b6611258564549173e3fbd88cafd4e449417f0603e2065a7276b60dd9371ca

Pith citing papers

No inbound Pith citation observations are available.