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Paper Citation Record · LEDGER

Rethink 3D Object Detection from Physical World

As of 7 August 2026, this Paper Citation Record lists 54 of 54 outbound references and 0 inbound Pith citation observations for arXiv:2507.00190.

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

pith.paper-citation-record.v1
2507.00190 v1

Coverage vector

measured 54 of 54 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T21:25:29.084614Z

measured 54 of 54 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

54 of 54 outbound references displayed

  • verified exact0
  • verified fuzzy43
  • unresolved11
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 7d70af05-393c-406d-8a23-7d5b944ff88f · outbound

This paper cites https://github.com/NVIDIA- AI- IOT/Lidar_AI_Solution.

Rethink 3D Object Detection from Physical World https://github.com/NVIDIA- AI- IOT/Lidar_AI_Solution

Reference 1

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Source-reported events for the cited work

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

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Observation 678c0021-67e8-454b-b360-0d3e25f696e2 · outbound

This paper cites https : / / github.

Rethink 3D Object Detection from Physical World https : / / github

Reference 2

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Source-reported events for the cited work

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

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Observation 7f1a7066-c592-4ed4-a0a4-b384239df178 · outbound

This paper cites Yolo3d: End-to-end real-time 3d oriented object bounding box detection from li- dar point cloud.

Rethink 3D Object Detection from Physical World Yolo3d: End-to-end real-time 3d oriented object bounding box detection from li- dar point cloud

Reference 3

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

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Observation 429cd95f-3555-412a-a241-dfb0e321f802 · outbound

This paper cites Transfusion: Robust lidar-camera fusion for 3d object detection with transform- ers.

Rethink 3D Object Detection from Physical World Transfusion: Robust lidar-camera fusion for 3d object detection with transform- ers

Reference 4

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Source-reported events for the cited work

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

source=pdf_text observed=2026-08-06T21:25:28.850979Z digest=sha256:fe54ebe4ad2d66cd71da2598240b2d73ccfa747502258e5c7d1083299945c0f8

Observation fa0ef0c8-d510-4901-ab67-343482d93f36 · outbound

This paper cites Multicorrupt: A multi-modal robustness dataset and benchmark of lidar-camera fusion for 3d object detec- tion.

Rethink 3D Object Detection from Physical World Multicorrupt: A multi-modal robustness dataset and benchmark of lidar-camera fusion for 3d object detec- tion

Reference 5

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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.

source=pdf_text observed=2026-08-06T21:25:28.856203Z digest=sha256:3637f3ddceab48ec1ca74d21e66a83c92255546a369bb17f875fa8f1e2410ba9

Observation 5fe51bb0-6db0-4b5c-93d1-c268a6d50337 · outbound

This paper cites Omni3D: A large benchmark and model for 3D object detection in the wild.

Rethink 3D Object Detection from Physical World Omni3D: A large benchmark and model for 3D object detection in the wild

Reference 6

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Source-reported events for the cited work

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

source=pdf_text observed=2026-08-06T21:25:28.861127Z digest=sha256:ff97138361c82cb8e80d0f0075d2336739020b8bd8f0c5822b65a5cdb4d052a5

Observation 8051ffac-687a-4ef5-b909-56f454f4c1e7 · outbound

This paper cites Lang, Sourabh V ora, Venice Erin Liong, Qiang Xu, Anush Krishnan, Yu Pan, Gi- ancarlo Baldan, and Oscar Beijbom.

Rethink 3D Object Detection from Physical World Lang, Sourabh V ora, Venice Erin Liong, Qiang Xu, Anush Krishnan, Yu Pan, Gi- ancarlo Baldan, and Oscar Beijbom

Reference 7

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Source-reported events for the cited work

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

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Observation 6a925787-8327-48ed-9ab2-3febabd3d654 · outbound

This paper cites Evaluating ob- ject (mis)detection from a safety and reliability perspective: Discussion and measures.

Rethink 3D Object Detection from Physical World Evaluating ob- ject (mis)detection from a safety and reliability perspective: Discussion and measures

Reference 8

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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.

source=pdf_text observed=2026-08-06T21:25:28.870447Z digest=sha256:766677d680836b12410f5bcc29ee5f2efb42c20a4191ef8afe3ac35863a61023

Observation 2971292e-8741-4233-8751-a40fc5c4f922 · outbound

This paper cites Wellington.

Rethink 3D Object Detection from Physical World Wellington

Reference 9

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Source-reported events for the cited work

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

source=pdf_text observed=2026-08-06T21:25:28.874864Z digest=sha256:9eef14e01229830eefc74838233a1309ad3a1008ea461d7d5492a79021d8060b

Observation d8c05421-feca-414f-8b9d-a56be34ee6bb · outbound

This paper cites Multi-view 3d object detection network for autonomous driving.

Rethink 3D Object Detection from Physical World Multi-view 3d object detection network for autonomous driving

Reference 10

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Source-reported events for the cited work

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

source=pdf_text observed=2026-08-06T21:25:28.879767Z digest=sha256:52de550cbafe4e6bd7e0f81e4ed9bcac6e7ceb9b7dae7d24df102bf10ae1f0cf

Observation 6334eac2-c7c5-4de5-b65a-827e44ab07dc · outbound

This paper cites Futr3d: A unified sensor fusion framework for 3d detection.

Rethink 3D Object Detection from Physical World Futr3d: A unified sensor fusion framework for 3d detection

Reference 11

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Source-reported events for the cited work

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

source=pdf_text observed=2026-08-06T21:25:28.884292Z digest=sha256:0a48a5f93da97e1706b678cd06a402aac870d2c33e7ba54e128447232168b36d

Observation 83064f75-ab3d-48bf-8a3b-dc3400f7403f · outbound

This paper cites Parting with misconceptions about learning- based vehicle motion planning.

Rethink 3D Object Detection from Physical World Parting with misconceptions about learning- based vehicle motion planning

Reference 12

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raw_fallback, observed 2026-08-06T21:25:29.732375Z

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.

source=pdf_text observed=2026-08-06T21:25:28.889278Z digest=sha256:1e91804fefa9dcc243d7a3dbe0cf17efa42f7699bd74f38995b024788f1b0036

Observation ad7a09a0-bb5f-4c75-9957-5da528e1648d · outbound

This paper cites Deepfusion: A ro- bust and modular 3d object detector for lidars, cameras and radars.

Rethink 3D Object Detection from Physical World Deepfusion: A ro- bust and modular 3d object detector for lidars, cameras and radars

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:25:29.716900Z

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.

source=pdf_text observed=2026-08-06T21:25:28.893953Z digest=sha256:b7db96640c1ea935080868a2ed9bf31466896caf8e4ea70e653679971bc4e731

Observation 2bea1366-ad02-42e1-9df1-942fce0e247c · outbound

This paper cites BEVDet: High-performance Multi-camera 3D Object Detection in Bird-Eye-View.

Rethink 3D Object Detection from Physical World BEVDet: High-performance Multi-camera 3D Object Detection in Bird-Eye-View

Reference 14

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no resolver link, observed 2026-08-06T21:25:28.899069Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:25:28.899069Z digest=sha256:edb2e88f005e2bbf8ef5a721003d709cd1b1048957d49b975bb7b56b4aaed58b

Observation 427479dd-e2de-4489-9e30-56ed5f5a5a0e · outbound

This paper cites Detecting as labeling: Rethinking lidar-camera fusion in 3d object detection.

Rethink 3D Object Detection from Physical World Detecting as labeling: Rethinking lidar-camera fusion in 3d object detection

Reference 15

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raw_fallback, observed 2026-08-06T21:25:29.701991Z

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.

source=pdf_text observed=2026-08-06T21:25:28.904196Z digest=sha256:8eed3e24535afbe8b5c48d20c50985aedba21fd9ab17ebbd872d1f12d12f865a

Observation 63bb37eb-0d7f-491f-8885-cef1abc0db2b · outbound

This paper cites Multi-modal Sensor Fusion for Auto Driving Perception: A Survey.

Rethink 3D Object Detection from Physical World Multi-modal Sensor Fusion for Auto Driving Perception: A Survey

Reference 16

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:25:28.908540Z digest=sha256:49291fab119b62aba72754a7e3d90962630657951ea9b0390e590ca72d000e1a

Observation 3e8cbc6f-a5bf-40f9-80ce-a90855971173 · outbound

This paper cites Let-3d-ap: Longitudi- nal error tolerant 3d average precision for camera-only 3d de- tection.

Rethink 3D Object Detection from Physical World Let-3d-ap: Longitudi- nal error tolerant 3d average precision for camera-only 3d de- tection

Reference 17

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

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Observation 305d3f09-5373-471c-8fa8-35dd1e580352 · outbound

This paper cites Ivanovic and Marco Pavone.

Rethink 3D Object Detection from Physical World Ivanovic and Marco Pavone

Reference 18

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raw_fallback, observed 2026-08-06T21:25:29.670972Z

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.

source=pdf_text observed=2026-08-06T21:25:28.917609Z digest=sha256:80dcc90aa82e33a57c7cf75801564bf2e9aa6ccb1f60bbb13ec90e0ff2961c7d

Observation 00d6d00a-0d9d-4e86-9f54-ce460d345276 · outbound

This paper cites Far3d: Expanding the horizon for surround-view 3d object detec- tion.

Rethink 3D Object Detection from Physical World Far3d: Expanding the horizon for surround-view 3d object detec- tion

Reference 19

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raw_fallback, observed 2026-08-06T21:25:29.654391Z

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.

source=pdf_text observed=2026-08-06T21:25:28.921948Z digest=sha256:22cd9726c11265682f4f90ff600db9a113ca4bec50879037cbf684ff0d9b61d4

Observation 474422b4-d5f9-455e-a804-5a81ef90c1a6 · outbound

This paper cites Towards learning- based planning: The nuplan benchmark for real-world au- tonomous driving.

Rethink 3D Object Detection from Physical World Towards learning- based planning: The nuplan benchmark for real-world au- tonomous driving

Reference 20

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raw_fallback, observed 2026-08-06T21:25:29.639687Z

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.

source=pdf_text observed=2026-08-06T21:25:28.926146Z digest=sha256:48becc7967a0e7cce2e2a94c92021992cdaa48740d10ebb9ae84bb441fd03150

Observation 26941541-7bef-4f92-98de-003adc78ffd2 · outbound

This paper cites Lang, Sourabh V ora, Holger Caesar, Lubing Zhou, Jiong Yang, and Oscar Beijbom.

Rethink 3D Object Detection from Physical World Lang, Sourabh V ora, Holger Caesar, Lubing Zhou, Jiong Yang, and Oscar Beijbom

Reference 21

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raw_fallback, observed 2026-08-06T21:25:29.625284Z

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.

source=pdf_text observed=2026-08-06T21:25:28.930531Z digest=sha256:085087638f115f94f53082a95d3015601388c58e56568de409ec86a2e32339d2

Observation 7b70d951-b4d5-483e-a9da-9f4b1845f81a · outbound

This paper cites Qiao, Dahua Lin, Siqian Liu, Junchi Yan, Jianping Shi, and Ping Luo.

Rethink 3D Object Detection from Physical World Qiao, Dahua Lin, Siqian Liu, Junchi Yan, Jianping Shi, and Ping Luo

Reference 22

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raw_fallback, observed 2026-08-06T21:25:29.609387Z

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.

source=pdf_text observed=2026-08-06T21:25:28.934976Z digest=sha256:d419be4abd7982fec456f1528cc60c5b56ffa7406b6b0b888ab0d251955b4019

Observation f19f51b9-1ac2-4b85-aac6-1b55ab7c2e8f · outbound

This paper cites BEVDepth: Acquisition of Reliable Depth for Multi-view 3D Object Detection.

Rethink 3D Object Detection from Physical World BEVDepth: Acquisition of Reliable Depth for Multi-view 3D Object Detection

Reference 23

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:25:28.939182Z digest=sha256:76882de99d36f09a06f494d4faa0cc37e3dc1a5a7bf668f9c0bbf46142aaf484

Observation d60fc739-5928-4625-b6b1-a0eb15883f6c · outbound

This paper cites Le, Alan Yuille, and Mingxing Tan.

Rethink 3D Object Detection from Physical World Le, Alan Yuille, and Mingxing Tan

Reference 24

Resolution
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raw_fallback, observed 2026-08-06T21:25:29.593658Z

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.

source=pdf_text observed=2026-08-06T21:25:28.944544Z digest=sha256:d87495994216e5e7fc36400f58b95cb3760d0fd1ee5144d2449037853d4838ed

Observation 7e7a04c2-90c1-466e-b62c-5cd49953e798 · outbound

This paper cites Fully sparse fusion for 3d object detection.

Rethink 3D Object Detection from Physical World Fully sparse fusion for 3d object detection

Reference 25

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:25:28.948918Z digest=sha256:7d47014f4a49445d2b1861f756c7c5e6ccc4bce70f2e2d6ad2b6aa539be2068e

Observation 43304fa7-eb04-4978-bf2d-7e0e627d65a3 · outbound

This paper cites Bevformer: Learning bird’s-eye-view representation from multi-camera images via spatiotemporal transformers.

Rethink 3D Object Detection from Physical World Bevformer: Learning bird’s-eye-view representation from multi-camera images via spatiotemporal transformers

Reference 26

Resolution
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raw_fallback, observed 2026-08-06T21:25:29.566789Z

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.

source=pdf_text observed=2026-08-06T21:25:28.953551Z digest=sha256:86ad88fc98fda2af70e010de123fd71cbe81ceb2e15c106ecf410efac78c99f5

Observation a3c66499-2d1a-406f-b469-4600cdfb0795 · outbound

This paper cites BEVFusion: A Simple and Robust LiDAR-Camera Fusion Framework.

Rethink 3D Object Detection from Physical World BEVFusion: A Simple and Robust LiDAR-Camera Fusion Framework

Reference 27

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unresolved
no resolver link, observed 2026-08-06T21:25:28.958516Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:25:28.958516Z digest=sha256:5c9c5868089445d9d4c624faeb3c8dbc5e8934ae29cf9c60535843c86887967f

Observation 5a1f2c4b-ff03-44a9-a4f5-abaf12634f00 · outbound

This paper cites Qi, Yin Zhou, Mingxing Tan, and Dragomir Anguelov.

Rethink 3D Object Detection from Physical World Qi, Yin Zhou, Mingxing Tan, and Dragomir Anguelov

Reference 28

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raw_fallback, observed 2026-08-06T21:25:29.552262Z

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.

source=pdf_text observed=2026-08-06T21:25:28.963377Z digest=sha256:b6237eca08f1884dd05d210f79a50e210301a8c6341184c4cc054eb40565fcfb

Observation 8ea6be08-ddc2-4c01-bc0e-f1644554170e · outbound

This paper cites Bevfusion: Multi- task multi-sensor fusion with unified bird’s-eye view repre- sentation.

Rethink 3D Object Detection from Physical World Bevfusion: Multi- task multi-sensor fusion with unified bird’s-eye view repre- sentation

Reference 29

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raw_fallback, observed 2026-08-06T21:25:29.537967Z

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.

source=pdf_text observed=2026-08-06T21:25:28.968845Z digest=sha256:e499418bc2acd386e185cd71ca7256dffa9d159a7fc9b5255a97a5f8c967d602

Observation f44fe5f9-4e2d-44ce-8085-92960afa041c · outbound

This paper cites 3d object detection for autonomous driving: A comprehensive survey, 2023.

Rethink 3D Object Detection from Physical World 3d object detection for autonomous driving: A comprehensive survey, 2023

Reference 30

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raw_fallback, observed 2026-08-06T21:25:29.523625Z

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.

source=pdf_text observed=2026-08-06T21:25:28.974123Z digest=sha256:a9a08a1f63572a847540330ffdb98372ce9d40f9d1d5b6130670cf13c5ff86c4

Observation 49db787d-1632-44d0-a492-553eaaa2132b · outbound

This paper cites Mtbf model for avs - from per- ception errors to vehicle-level failures.2022 IEEE Intelligent Vehicles Symposium (IV), pages 1591–1598, 2022.

Rethink 3D Object Detection from Physical World Mtbf model for avs - from per- ception errors to vehicle-level failures.2022 IEEE Intelligent Vehicles Symposium (IV), pages 1591–1598, 2022

Reference 31

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raw_fallback, observed 2026-08-06T21:25:29.508206Z

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.

source=pdf_text observed=2026-08-06T21:25:28.978534Z digest=sha256:173a27929e129b383641cacf62c3578f77cba5e450b7f4da68b8b4c1765fb480

Observation c633e6d0-66e7-4f8f-867e-0ec8096d5f14 · outbound

This paper cites Lift, splat, shoot: Encoding images from arbitrary camera rigs by implicitly unproject- ing to 3d.

Rethink 3D Object Detection from Physical World Lift, splat, shoot: Encoding images from arbitrary camera rigs by implicitly unproject- ing to 3d

Reference 32

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raw_fallback, observed 2026-08-06T21:25:29.492192Z

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.

source=pdf_text observed=2026-08-06T21:25:28.983229Z digest=sha256:04ad695617f496751bec6c9f7f588c8c1c04ffaa4d78302d1e0e518019e82f83

Observation 025a0501-30c7-4176-b312-e9dd3d2b40f9 · outbound

This paper cites Qi, Hao Su, Kaichun Mo, and Leonidas J.

Rethink 3D Object Detection from Physical World Qi, Hao Su, Kaichun Mo, and Leonidas J

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:25:29.477867Z

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.

source=pdf_text observed=2026-08-06T21:25:28.987714Z digest=sha256:786b871a1afc8de7f7e9f197f74f081d12316792554386b55ee0adeebbf7a7c9

Observation cac1b9f8-8ec7-408a-96d2-1ed2bfe15ab2 · outbound

This paper cites Qi, Li Yi, Hao Su, and Leonidas J.

Rethink 3D Object Detection from Physical World Qi, Li Yi, Hao Su, and Leonidas J

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:25:29.463857Z

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.

source=pdf_text observed=2026-08-06T21:25:28.992304Z digest=sha256:ea3fa78c164984ec9a93cbff9104224b80a32039030a18d748937e9d99150ae2

Observation 176d8e05-f40f-4e69-b074-6b26a3ea1970 · outbound

This paper cites Qi, Wei Liu, Chenxia Wu, Hao Su, and Leonidas J.

Rethink 3D Object Detection from Physical World Qi, Wei Liu, Chenxia Wu, Hao Su, and Leonidas J

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:25:29.448493Z

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.

source=pdf_text observed=2026-08-06T21:25:28.996806Z digest=sha256:cb402ec6680347a53d8f72fdf67e49db9e3e8e4e6861da6683309ad4d98712f4

Observation 3a118479-93bb-4e27-a642-a0ba92eeef87 · outbound

This paper cites Pointr- cnn: 3d object proposal generation and detection from point cloud.

Rethink 3D Object Detection from Physical World Pointr- cnn: 3d object proposal generation and detection from point cloud

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:25:29.434481Z

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.

source=pdf_text observed=2026-08-06T21:25:29.001199Z digest=sha256:ae10b13cccb430b5f1b10e000ac8f4962567fbbdce11ab31091be6cb6ea51037

Observation d68da8bc-e4a7-4953-a0b7-4fbe6b399522 · outbound

This paper cites Pv-rcnn: Point-voxel feature set abstraction for 3d object detection.

Rethink 3D Object Detection from Physical World Pv-rcnn: Point-voxel feature set abstraction for 3d object detection

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-06T21:25:29.006582Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:25:29.006582Z digest=sha256:ba706c1a0a6717b24981374b9bb28d2f529b46a402082900a940c7d3d5ea222f

Observation b2c875d9-7c58-4678-82c4-4c694efb22f4 · outbound

This paper cites Scalability in perception for autonomous driving: Waymo open dataset.

Rethink 3D Object Detection from Physical World Scalability in perception for autonomous driving: Waymo open dataset

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:25:29.410836Z

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.

source=pdf_text observed=2026-08-06T21:25:29.011236Z digest=sha256:9826f3bf143688831eee85c2186f723f11cb77f536cdbb4aa8cee5029a91dbda

Observation dcf8bb4e-7dc4-4837-b5fc-cfd9df665985 · outbound

This paper cites Fcos: Fully convolutional one-stage object detection.

Rethink 3D Object Detection from Physical World Fcos: Fully convolutional one-stage object detection

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:25:29.395817Z

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.

source=pdf_text observed=2026-08-06T21:25:29.015721Z digest=sha256:51472bdc54b299e0bfad08041044c6d4f228b58b432811a3c77688caa98a05a9

Observation 637fdadb-1cb3-46ad-a227-3f30be9f0761 · outbound

This paper cites Lang, Bassam Helou, and Oscar Bei- jbom.

Rethink 3D Object Detection from Physical World Lang, Bassam Helou, and Oscar Bei- jbom

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:25:29.381542Z

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.

source=pdf_text observed=2026-08-06T21:25:29.020001Z digest=sha256:99e83ab4a8b3b87d136e10c4c836b9801e6163bd75e7fd7ca79ddf4af241541d

Observation b3e6324e-ca05-4006-baa4-19c331d1d740 · outbound

This paper cites Pointaugmenting: Cross-modal augmentation for 3d object detection.

Rethink 3D Object Detection from Physical World Pointaugmenting: Cross-modal augmentation for 3d object detection

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-06T21:25:29.023952Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:25:29.023952Z digest=sha256:643b1ad405cdea3ba1fac833cc77a020640510768523ca04db596bf10f1c6ca6

Observation 7d59c02c-4ef3-4e95-bdea-eb32b606e5e8 · outbound

This paper cites Towards stable 3d object detection.

Rethink 3D Object Detection from Physical World Towards stable 3d object detection

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:25:29.357000Z

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.

source=pdf_text observed=2026-08-06T21:25:29.028275Z digest=sha256:2bbc8c6829e81fdea8cb0d9c6aead1f4d2f9a3874fdc57fef8a6ac07af943c48

Observation 64fe4970-d925-425e-b69b-8dd428ee4487 · outbound

This paper cites Exploring object-centric temporal modeling for efficient multi-view 3d object detection.

Rethink 3D Object Detection from Physical World Exploring object-centric temporal modeling for efficient multi-view 3d object detection

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:25:29.342695Z

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.

source=pdf_text observed=2026-08-06T21:25:29.032823Z digest=sha256:576d646726744b012700d8437c3c71ea285fbcfc7af4082e792112cd37fcf36e

Observation 3c541ed1-3dce-4a5c-96fd-468d7e90f69a · outbound

This paper cites an unresolved cited work.

Rethink 3D Object Detection from Physical World Unresolved cited work

Reference 44

Resolution
unresolved
raw_fallback, observed 2026-08-06T21:25:29.328269Z

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.

source=pdf_text observed=2026-08-06T21:25:29.037844Z digest=sha256:7129dcfdb6ff2439ea1d1ef96f73a347759e038a69c269399de6c4cb46922433

Observation 4c4e32b8-2339-4468-8da6-0af44df38a55 · outbound

This paper cites an unresolved cited work.

Rethink 3D Object Detection from Physical World Unresolved cited work

Reference 45

Resolution
unresolved
raw_fallback, observed 2026-08-06T21:25:29.313844Z

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.

source=pdf_text observed=2026-08-06T21:25:29.043131Z digest=sha256:24f06a35bc78e0e1eed1f86babb9ba5737107c99ffa13642898a765ca69434dc

Observation 21c0afbd-f016-419b-8ee8-866f4d4d69ef · outbound

This paper cites Second: Sparsely embed- ded convolutional detection.

Rethink 3D Object Detection from Physical World Second: Sparsely embed- ded convolutional detection

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:25:29.298726Z

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.

source=pdf_text observed=2026-08-06T21:25:29.048336Z digest=sha256:5f77c0a04ef43a45a04f63d96f9d79232fb45fc9ac71b3852a22e24198914a85

Observation a08d1208-1a73-465f-9edf-145c8c336a93 · outbound

This paper cites Pixor: Real- time 3d object detection from point clouds.

Rethink 3D Object Detection from Physical World Pixor: Real- time 3d object detection from point clouds

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:25:29.284377Z

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.

source=pdf_text observed=2026-08-06T21:25:29.053420Z digest=sha256:83a2ad130a0a6e398e09e4d43493b08a4b50e6284036f37f7e9a75d576889c07

Observation cda391a5-ae45-4502-a414-510b4a533ee8 · outbound

This paper cites BEVFormer v2: Adapt- ing Modern Image Backbones to Bird’s-Eye-View Recogni- tion via Perspective Supervision.

Rethink 3D Object Detection from Physical World BEVFormer v2: Adapt- ing Modern Image Backbones to Bird’s-Eye-View Recogni- tion via Perspective Supervision

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:25:29.269394Z

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.

source=pdf_text observed=2026-08-06T21:25:29.057778Z digest=sha256:7ca27d8c4a2e5952f280a9442892abcbf6a69087124fe410f1aac19c6d8d2eb7

Observation 0573f334-03dd-4728-92ce-03013920b2f8 · outbound

This paper cites 3dssd: Point-based 3d single stage object detector.

Rethink 3D Object Detection from Physical World 3dssd: Point-based 3d single stage object detector

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:25:29.254663Z

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.

source=pdf_text observed=2026-08-06T21:25:29.062283Z digest=sha256:9d2017a81c95f75ecf8149702b13b939b29d09872a2cb0d98a38a37e6edf21b2

Observation a91ee8a4-2fc3-4938-8178-be3aba0fde85 · outbound

This paper cites an unresolved cited work.

Rethink 3D Object Detection from Physical World Unresolved cited work

Reference 50

Resolution
unresolved
raw_fallback, observed 2026-08-06T21:25:29.240370Z

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.

source=pdf_text observed=2026-08-06T21:25:29.066579Z digest=sha256:ebe2b917d845a111c36b1088b42122bd9351cc5e4c17f47e17858b5291c2b707

Observation ade782d8-8e7a-45fb-8d17-2175815b879b · outbound

This paper cites Center- based 3d object detection and tracking.

Rethink 3D Object Detection from Physical World Center- based 3d object detection and tracking

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:25:29.225864Z

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.

source=pdf_text observed=2026-08-06T21:25:29.071141Z digest=sha256:cc0452b8b95fc5b8ee78c8424ede875c44354508c838712cc475af3a0c333bb1

Observation f343b192-436f-40ae-98af-33840a72bef0 · outbound

This paper cites BEVerse: Unified Perception and Prediction in Birds-Eye-View for Vision-Centric Autonomous Driving.

Rethink 3D Object Detection from Physical World BEVerse: Unified Perception and Prediction in Birds-Eye-View for Vision-Centric Autonomous Driving

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-06T21:25:29.075302Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:25:29.075302Z digest=sha256:1e2e27a181fa48451affa6fe475ea124a6eab4a9d5f31c146d9c282383b4a3aa

Observation 6463fba6-2185-4c71-b9c0-2a41c82708db · outbound

This paper cites V oxelnet: End-to-end learning for point cloud based 3d object detection.

Rethink 3D Object Detection from Physical World V oxelnet: End-to-end learning for point cloud based 3d object detection

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:25:29.211886Z

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.

source=pdf_text observed=2026-08-06T21:25:29.080200Z digest=sha256:a6fb2c23713e9c179d2a1b082a23249f6cee261fe901a8c37727bab783ac26aa

Observation e6f6e532-c9a3-40a2-af3d-d0d6f1a9db9a · outbound

This paper cites L-AP for Yaw Flipping 10m/s GT(a) 13m/s (b) -7m/s 1m/s GT(c) 1.3m/s (d) -0.7m/s Figure 5.

Rethink 3D Object Detection from Physical World L-AP for Yaw Flipping 10m/s GT(a) 13m/s (b) -7m/s 1m/s GT(c) 1.3m/s (d) -0.7m/s Figure 5

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:25:29.196170Z

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.

source=pdf_text observed=2026-08-06T21:25:29.084614Z digest=sha256:cd4682507559f0d9e226825f2ee9031e1324eb49603679c490faa6b3b6b0a7bf

Pith citing papers

No inbound Pith citation observations are available.