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Paper Citation Record · LEDGER

Rethink 3D Object Detection from Physical World

As of 18 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 2026-08-17T06:30:58.91139+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 2026-08-17T06:30:58.91139+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 2026-08-17T06:30:58.91139+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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T21:25:28.850979Z digest=sha256:1a1b8442f23fd997a79db2ee7dd96ae1f6a2acbe2c2bcfd39da5e58d977c3a85

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T21:25:28.856203Z digest=sha256:8a712450d32da9f84fac835155b316e9857dcf2b17cb159c53fc087d87d88706

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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raw_fallback, observed 2026-08-06T21:25:29.817170Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T21:25:28.861127Z digest=sha256:b0e9e55c5d4cb91183581f123f2ec85aaeb0f0b66fbc463771f9c3cee9eaee3d

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 2026-08-17T06:30:58.91139+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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T21:25:28.870447Z digest=sha256:02f92662ab014fd00bc5fe38a3cd09aa1b05ae321a08398205dc5d60e04d0e34

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T21:25:28.874864Z digest=sha256:5d2762773f926545cd4ad2b61c452e519eb82e405598b27f888730a28f7e0ed3

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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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T21:25:28.884292Z digest=sha256:41612df11836101e5e4c4439df65156a653ae4ee092cba28a9199ab98a90b8a9

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T21:25:28.889278Z digest=sha256:04381d633b269b1c55633dc733026df66d5529145e40b1dff93e9aa48a51efe5

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T21:25:28.893953Z digest=sha256:81fa0de1629638c58781dee210d0c225d2267a342382092940a0e44dc5133895

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=sha256:1302be157078aba6897a4fce409440ca809bc4912635727ba869c49f5d754925

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T21:25:28.904196Z digest=sha256:827715e05ac540d7eb403190bd7336cfebf848c0131d57dcf7779fcd78eeab33

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

Resolution
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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=sha256:1050396c23dfe1b301ca8029e74bf2c887d1c70ea0ffb81e74b32dec7b624be5

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 2026-08-17T06:30:58.91139+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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T21:25:28.917609Z digest=sha256:a3a4b479838ee3e826894e7e39827d017cedb10432bfdc326c5bc0036b4de722

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T21:25:28.921948Z digest=sha256:c4f7e39422a9f6d2ac1e42db53551f105f69d20a71cbb763a424268b94616ca1

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T21:25:28.926146Z digest=sha256:e884b2b9a2ef4e45477b5183a2a1391289540c3444f2cf3c9c3d45a975b117a2

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T21:25:28.930531Z digest=sha256:c5ca98795f219ac9d9f6decace654b0ea8b8b2720ed01de26e3f03e6712bc612

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T21:25:28.934976Z digest=sha256:afece35dd45f982bab9680abdcd69894763e7b4d03ffa1c01b5b9376a37be835

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=sha256:7e8b21d33e45fa5c7d6ea9e98879557e7c4d45d66f78e76150b02f6f6d396d7a

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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verified fuzzy
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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T21:25:28.944544Z digest=sha256:3d89b52e7c4f893cfbe82f776a4d8e16d6f76b2481efde68c866267f5d1e5c1a

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=sha256:3d8b9129b874087fcd815624b98ba515663d7e703d6480700f62f76ddc3b2f58

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T21:25:28.953551Z digest=sha256:c59837579d0da1b7770fb340b0f5afce2ae91ff725ca14e9aeabcd5b3f4a8025

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=sha256:735e5bfdcdb54087a0507b07b4aa5a3f245c33402ef18f10de1168253247fe61

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

Resolution
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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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T21:25:28.963377Z digest=sha256:8f4440af6929dfbe0ec73d208beb8973ae7dc8fc51aa9245fe107609fffecbe2

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T21:25:28.968845Z digest=sha256:472fc8732817924c9361ea9e301282b67c72b80e34da5702831258654c7e3170

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

Resolution
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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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T21:25:28.974123Z digest=sha256:3315b9ff464298d708066ada33ae877ed2108ef06e4f9a397686f912e07d8397

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T21:25:28.978534Z digest=sha256:bbf0d4255f925e889c130ca94e4fd90b77116cc3d6516661c6fe9d78f1c1ea78

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T21:25:28.983229Z digest=sha256:b96c7acf3fbded19ddbfae6ac077c3cc376e00307404a53674ae82faa9a58edf

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T21:25:28.987714Z digest=sha256:bea910007b6456d5991ad5ee63a3abefc06957b4db96d8a749c163bcd73cba17

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T21:25:28.992304Z digest=sha256:04368e2114c0c27674b7d90d83ab6616dc050bd376d3f5472a7dbee82213cf9e

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T21:25:28.996806Z digest=sha256:19fb4bb4b6dbb84b301de4d71cb5574954c7e65fe5cd3c4634e781bd344a171e

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T21:25:29.001199Z digest=sha256:4e56935d067c72bcd4046cd4a308411494f3ce291cb706dcf921b569df76b5d6

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=sha256:7274bce8510eddbc42a9a1f08e5608580fa874cf7edfaae4536f1f8eca831be9

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T21:25:29.011236Z digest=sha256:d4162f6d690426b218bbf26d8c6a7cae9beef3974def1ccdd553bcecc9291691

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T21:25:29.015721Z digest=sha256:651a811645fed4d70f867928c723ca72ee671c46f1d91d1de656dbd0fc23d528

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T21:25:29.020001Z digest=sha256:054358c6caae11db4df4435201271a20ed712b067020a0c6501574ab2111a100

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=sha256:80d9c2475e6c01479cdcc111ffcbc2f1da93ff76e2a914c8b5dbdd812cb5c847

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T21:25:29.028275Z digest=sha256:3693412a1ad68999aa3885579d095a6827f619353c6eef9c681bec02d879faab

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T21:25:29.032823Z digest=sha256:50992e0491798c9c1d14d4ae0e836f914ec3b595f86009def98578b4659a6946

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T21:25:29.037844Z digest=sha256:bc9d4e1063c347de7cbc7361dc5ced07baa2da4ac24bd8442bc1ca6fd74420e8

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T21:25:29.043131Z digest=sha256:59e58129ce1d593fa5f4bfc6e67ec9be823bfe9a64aa3827f9c9075fd42a91ec

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T21:25:29.048336Z digest=sha256:d7af30e8142fc11150f64032eb3dcc9685f64c9db3cc6a389b2684fa6b663ace

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T21:25:29.053420Z digest=sha256:7660c1b07513c63c1d1b0eefe7a15d13217396b8e0f77460456caa32800d062a

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T21:25:29.057778Z digest=sha256:3329723609b11bf74d3c46252a7df10d7bf973cb00e08126446defa897e12fa3

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T21:25:29.062283Z digest=sha256:04905fbcd2852c12f40be170539c4e6182ea030abb2cc9d99121f21f3563bbe7

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T21:25:29.066579Z digest=sha256:d671e79f9228563772ee53e7f014832b794f9b9506d29e1bf3555c01dd504bf0

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T21:25:29.071141Z digest=sha256:c20ced5dd45d709173ec92b4e5ab649d7aaa6f4a3d34fff0bf4d7ccb7d014f31

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=sha256:9d059e064c150778446fe349cda9edffcd46271cd2786675b9e0a00f6c3c8030

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T21:25:29.080200Z digest=sha256:314d048c59291295d8ae804570c9955afc514a06067013e4614e6dbd7ed69aa8

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T21:25:29.084614Z digest=sha256:31bb9b041a7970d8b5dad2c93e72f01b391504c61756ec6bbe3e6577139e5f1f

Pith citing papers

No inbound Pith citation observations are available.