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Paper Citation Record · LEDGER

Rethink 3D Object Detection from Physical World

As of 10 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 2026-08-10T06:31:04.303077+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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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T21:25:28.850979Z digest=sha256:9909d313adb3dc16ddacc3f5c8fad98dee430d63fb4b4dd2ba2a075bdfe516b2

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 2026-08-10T06:31:04.303077+00:00.

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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 2026-08-10T06:31:04.303077+00:00.

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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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T21:25:28.870447Z digest=sha256:ece336827f409279eb3192c0a6f18ed58fb255fbea4070e9cfe07bd33c0cffbc

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 2026-08-10T06:31:04.303077+00:00.

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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 2026-08-10T06:31:04.303077+00:00.

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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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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T21:25:28.889278Z digest=sha256:7c4b1dcecdaaa298e3bbebee1c5468460a18297f7d755e66e538d6632746aca0

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
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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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T21:25:28.893953Z digest=sha256:1e6ef4fe76c44f64fa0e5a6a558392aa61c9de24f44311f700c9537aee68bf84

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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:25:28.899069Z digest=sha256:c5982ed1353e97ae06e1ecf8e3baf108c8027def39031dbd1f7b7e9d04807995

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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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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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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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:25:28.908540Z digest=sha256:ed52ca22eb7fbe92c9d6f717e8b8533ae96a1d37c02541dfe429c881b1adcc82

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 2026-08-10T06:31:04.303077+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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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T21:25:28.921948Z digest=sha256:426b0bf7782bbfbc5e76c89f68dd0b75c67ed31e66039894ca6ee634094783ab

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T21:25:28.926146Z digest=sha256:d238a1a8161442fb3ad9919e29f1d0a85a475fcc42a0c712dc54dd089e715f56

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T21:25:28.930531Z digest=sha256:52e1e927382ebb879af89f19312bd41696d2ba9acfe97aa4ac606af2250ba3c4

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T21:25:28.934976Z digest=sha256:52976080bc6a973b2bfdf69c2eb29abde8f5ed205eaddec74815a696f48dfefc

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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Unavailable: canonical work link unavailable.

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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

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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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T21:25:28.944544Z digest=sha256:52d0f8f82460546b73f4500a0370ca707d449317467feb07593b6ffd5d622430

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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no resolver link, observed 2026-08-06T21:25:28.948918Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:25:28.948918Z digest=sha256:7bd68d0a95269d77a60010eeb8f82964cb552a328951c66fec85662c6232d904

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

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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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T21:25:28.953551Z digest=sha256:5f027d91a0eaec7311cbcce499fc571fa3f1eaba4908dc41bc730e075699f09d

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=sha256:7155fc48091c5365a93cf90c5f8353a7dd898ed15bd286573d7b04310d21e705

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T21:25:28.963377Z digest=sha256:76ea7678f5d2f9e69e36c964aa5904d90ff895bc66f549b9b8f1f9345de8b6d0

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T21:25:28.968845Z digest=sha256:62f087003cbfb6b88288c9f8913b8f72800afa29418285718da126b9497e02b7

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T21:25:28.974123Z digest=sha256:c5e9df4cec3a3e646e1b382b015111cd733ed977fcdd4e2e8b3d1406e1aa05ec

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T21:25:28.978534Z digest=sha256:11fb2abbfddd0c63203c61ad4afe8491f2e5ce50519924c863765bf292c31e28

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T21:25:28.983229Z digest=sha256:5c418fa332b2ce76dbaaaad4660fb94ef1d130f58b0e5e71283db893197cdd0f

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
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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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T21:25:28.987714Z digest=sha256:f9d4f205d2a78a0e90c1cf3a4be274248b1033eda8ee9b0ee0f29e849228be0c

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T21:25:28.992304Z digest=sha256:61469c89834e473b3be5f1a906aa37150c7e8cda994177318b8af399f1e02e40

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T21:25:28.996806Z digest=sha256:27903d00310fb350fda460c3561afae8426a1e218f04579ea14d665c4240ce3a

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T21:25:29.001199Z digest=sha256:482b42d9ef58e55a6162428e5cf0f05a733b3277bd253547c95665d5ba73697b

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=sha256:57a363cff4f5b2146a3c829eaed6f833b9f4943cd762fd20ba74c87e929c0761

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T21:25:29.011236Z digest=sha256:ce706aa66bdf1920afab286109467dd4f45d5ad70dfdb0ef641b6462e34c0049

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T21:25:29.015721Z digest=sha256:23471f9114ce98f479f503df03a82b405d6ef1ecdea77fc83eb7e50e111e8653

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T21:25:29.020001Z digest=sha256:16e4bff912f00e73b39ba33203af4d2cb92877fd8bdfb413aeadab0ce05a18ef

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=sha256:460a5f1db71f109478bc96806356373fc0c5bb6987bc1ca87a00ac68715ebe15

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T21:25:29.028275Z digest=sha256:154359d8beb5f95a22856ce8467dc168f2f15b0cb843b107242890589687f613

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T21:25:29.032823Z digest=sha256:4e3fa8f0e853994b1f02cdf7b43fbf028aa35fca290cec4c0d6cf40a26f4233e

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T21:25:29.037844Z digest=sha256:3dd24560549557e1c75c00ce921756adc4f4b0f6b4c3ebda09f44606c0baed3e

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T21:25:29.043131Z digest=sha256:fc4ffa65acce28e90da37f1ff8286a66465777b6ad89bbbc2d86c657f6ab3dde

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T21:25:29.048336Z digest=sha256:ede3e13a68554f2fbff70db71602dca912e08dc3b778831f3a7f9d05c960e545

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T21:25:29.053420Z digest=sha256:539ad7f3c57ff410ff4fdf42bab47d734c167830921eb2595df3d08f5130e599

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T21:25:29.057778Z digest=sha256:5d066079324cc07b2d26ab285eb46c03290eacca533369caeb82884aebdb2b03

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T21:25:29.062283Z digest=sha256:4f1562028ce69114c73c246aa6dd345b599432ba0d60cf7d47bca500299a9f72

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T21:25:29.066579Z digest=sha256:4eab7542bc903657bc989404c3f492f219799be8f01844b3c7e95b08439934fa

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T21:25:29.071141Z digest=sha256:ba13c7b53a6196607f61ca4b4c64b14b01961fcb28e24838c1e80be593bc7fae

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=sha256:7777e2d39545edaede6fc9d9fcb007d2d4c5ffc903cf5635ef3ff010ed98f268

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T21:25:29.080200Z digest=sha256:30b8387536eaa3eec9a2572ea0052693e970b18d6a4a70467d71e44ac676af6a

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T21:25:29.084614Z digest=sha256:919fff110cbf659a3ea4bd6e3a9b96bbd8a27bd05eca1c3466e539480be66ec9

Pith citing papers

No inbound Pith citation observations are available.