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Paper Citation Record · LEDGER

Towards Accurate and Efficient 3D Object Detection for Autonomous Driving: A Mixture of Experts Computing System on Edge

As of 20 August 2026, this Paper Citation Record lists 52 of 52 outbound references and 0 inbound Pith citation observations for arXiv:2507.04123.

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

pith.paper-citation-record.v1
2507.04123 v2

Coverage vector

measured 52 of 52 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T20:01:29.178188Z

measured 52 of 52 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+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

52 of 52 outbound references displayed

  • verified exact1
  • verified fuzzy40
  • unresolved10
  • parse uncertain1
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation bbb5ef24-e56f-483b-ba7e-0b6fdec5a376 · outbound

This paper cites Haque, Lingjia Tang, and Jason Mars.

Towards Accurate and Efficient 3D Object Detection for Autonomous Driving: A Mixture of Experts Computing System on Edge Haque, Lingjia Tang, and Jason Mars

Reference 1

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation bb2a4c32-9ec0-4a0a-983d-b974b99f0550 · outbound

This paper cites Multimodal end-to-end autonomous driving.

Towards Accurate and Efficient 3D Object Detection for Autonomous Driving: A Mixture of Experts Computing System on Edge Multimodal end-to-end autonomous driving

Reference 2

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verified fuzzy
raw_fallback, observed 2026-08-06T20:01:29.551472Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T20:01:28.715072Z digest=sha256:6b7addbebb9fc37c031a3bf23b73163b41fef2f62bcc78eca6dca977ceac718f

Observation cd37df1b-94e8-478f-a841-a6104ce0114d · outbound

This paper cites Voxel R-CNN: Towards High Performance Voxel-based 3D Object Detection.

Towards Accurate and Efficient 3D Object Detection for Autonomous Driving: A Mixture of Experts Computing System on Edge Voxel R-CNN: Towards High Performance Voxel-based 3D Object Detection

Reference 3

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verified exact
local_arxiv, observed 2026-08-06T20:01:29.236581Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 896dfed8-19d4-4fd8-95f2-2b9660b4ae32 · outbound

This paper cites Vlm2scene: Self-supervised image-text-lidar learning with foundation models for autonomous driving scene understanding.

Towards Accurate and Efficient 3D Object Detection for Autonomous Driving: A Mixture of Experts Computing System on Edge Vlm2scene: Self-supervised image-text-lidar learning with foundation models for autonomous driving scene understanding

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:01:29.545138Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T20:01:28.860106Z digest=sha256:45d0d69920fae9dd597fee56a08a7f4800e33345f8e3c73ab8c5504e24382f8c

Observation 5660f4fb-eb59-4c97-b7f7-a68c786bb91f · outbound

This paper cites Optimizing fpga-based accelerator design for deep convolutional neural networks.

Towards Accurate and Efficient 3D Object Detection for Autonomous Driving: A Mixture of Experts Computing System on Edge Optimizing fpga-based accelerator design for deep convolutional neural networks

Reference 5

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verified fuzzy
raw_fallback, observed 2026-08-06T20:01:29.539635Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T20:01:28.993562Z digest=sha256:4e4e3d42acda8e67f74b80eea63baa52c18deb764a40aa4d7b27ae33340f3b99

Observation af357d50-6acf-4acd-bde6-1d3bba45bd7d · outbound

This paper cites {TVM}: An automated {End- to-End} optimizing compiler for deep learning.

Towards Accurate and Efficient 3D Object Detection for Autonomous Driving: A Mixture of Experts Computing System on Edge {TVM}: An automated {End- to-End} optimizing compiler for deep learning

Reference 6

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T20:01:29.044208Z digest=sha256:e859be891ac5e9faf5dfef602454543a2ed80bf59e96c8b2e8e92938a6722e4f

Observation ba38d7c3-7871-4a3b-98a7-d4091d2bba60 · outbound

This paper cites Ace: Ally complementary experts for solving long-tailed recognition in one-shot.

Towards Accurate and Efficient 3D Object Detection for Autonomous Driving: A Mixture of Experts Computing System on Edge Ace: Ally complementary experts for solving long-tailed recognition in one-shot

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:01:29.524416Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T20:01:29.047762Z digest=sha256:22736aef3f22a08ca834737632a3be5e2ce6d2e4b7fd61ab92ffedad52660f4b

Observation 94f14898-8baa-4c35-bfa3-9b446b7f18bd · outbound

This paper cites Uni- moe: Scaling unified multimodal llms with mixture of ex- perts.

Towards Accurate and Efficient 3D Object Detection for Autonomous Driving: A Mixture of Experts Computing System on Edge Uni- moe: Scaling unified multimodal llms with mixture of ex- perts

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:01:29.518399Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T20:01:29.061441Z digest=sha256:f488f65910fae18536f4551f569d8ad7bd6e654eeea92d67fce33e95698df416

Observation 1403e769-473c-462d-b132-79e322711c48 · outbound

This paper cites Cumo: Scaling multimodal llm with co-upcycled mixture- of-experts.

Towards Accurate and Efficient 3D Object Detection for Autonomous Driving: A Mixture of Experts Computing System on Edge Cumo: Scaling multimodal llm with co-upcycled mixture- of-experts

Reference 9

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verified fuzzy
raw_fallback, observed 2026-08-06T20:01:29.512285Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T20:01:29.064071Z digest=sha256:21ab73dd24832efeee26faeb39019bbd10786d04e84630111d171f7434d260b5

Observation 5f04faa6-45b5-4785-8dbb-2324ae252561 · outbound

This paper cites A Survey on Mixture of Experts in Large Language Models.

Towards Accurate and Efficient 3D Object Detection for Autonomous Driving: A Mixture of Experts Computing System on Edge A Survey on Mixture of Experts in Large Language Models

Reference 10

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unresolved
no resolver link, observed 2026-08-06T20:01:29.065885Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:01:29.065885Z digest=sha256:98c6e8bb078d228d3de9c1fb3ba383571dbf7be680e87bcee1b837234347e66c

Observation 61dbc738-e621-4ac1-8929-fe1b4f02b81b · outbound

This paper cites Time-MoE: Billion-Scale Time Series Foundation Models with Mixture of Experts.

Towards Accurate and Efficient 3D Object Detection for Autonomous Driving: A Mixture of Experts Computing System on Edge Time-MoE: Billion-Scale Time Series Foundation Models with Mixture of Experts

Reference 11

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unresolved
no resolver link, observed 2026-08-06T20:01:29.069534Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:01:29.069534Z digest=sha256:d5547ffbdf66a60a50468af878383be943dc45513dc384b41f4ff30c960f2b2a

Observation 8e5341b7-536e-46e5-8b90-21ddb068f966 · outbound

This paper cites FastMoE: A Fast Mixture-of-Expert Training System.

Towards Accurate and Efficient 3D Object Detection for Autonomous Driving: A Mixture of Experts Computing System on Edge FastMoE: A Fast Mixture-of-Expert Training System

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-06T20:01:29.072590Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:01:29.072590Z digest=sha256:4a21407b2ef5bffeed98f23904c8be25c78fae1ff054a680e5f9cab3578f5c6a

Observation a3f420c1-d56f-4ef5-bc1e-984953c8a825 · outbound

This paper cites Qi, Xinlei Chen, Or Litany, and Leonidas J.

Towards Accurate and Efficient 3D Object Detection for Autonomous Driving: A Mixture of Experts Computing System on Edge Qi, Xinlei Chen, Or Litany, and Leonidas J

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:01:29.505907Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T20:01:29.075734Z digest=sha256:f5d7f06a595540d945547eeb01be7da8c1a237cd91be21984fc51d872bbc4788

Observation d86dad4b-a090-43b4-ad8b-1bd4cb776bf0 · outbound

This paper cites From Points to Parts: 3D Object Detection from Point Cloud with Part-aware and Part-aggregation Network.

Towards Accurate and Efficient 3D Object Detection for Autonomous Driving: A Mixture of Experts Computing System on Edge From Points to Parts: 3D Object Detection from Point Cloud with Part-aware and Part-aggregation Network

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-06T20:01:29.078165Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:01:29.078165Z digest=sha256:abf005d701baf081a2a1cdca9be347ad5af19b7443cb3f390476c7f103b4efd0

Observation 8aaef5a1-8d39-43e5-8d25-eaedacfa018a · outbound

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

Towards Accurate and Efficient 3D Object Detection for Autonomous Driving: A Mixture of Experts Computing System on Edge Lang, Sourabh V ora, Holger Caesar, Lubing Zhou, Jiong Yang, and Oscar Beijbom

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:01:29.499405Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T20:01:29.081697Z digest=sha256:73d7d1c82cd56d6dbfbac30300c7ff31460978f14d2f44e8fcfe6e640a8077c0

Observation dc7a8c4a-e58e-4586-8bf9-7659a6ed6a1d · outbound

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

Towards Accurate and Efficient 3D Object Detection for Autonomous Driving: A Mixture of Experts Computing System on Edge V oxelnet: End-to-end learning for point cloud based 3d object detection

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:01:29.494266Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T20:01:29.084321Z digest=sha256:52cc4ead56b29aa370c8e987523fc4aee9bcc20ab09b8259e770a1908d99427e

Observation 5fde4528-f46c-4d85-9e75-d19d4db7a8de · outbound

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

Towards Accurate and Efficient 3D Object Detection for Autonomous Driving: A Mixture of Experts Computing System on Edge Pv-rcnn: Point- voxel feature set abstraction for 3d object detection

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:01:29.485943Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T20:01:29.086602Z digest=sha256:44f413ac470d14edab14900f31c508eb738f9e9aa6e9797697314525dfd33f3c

Observation de57fc8e-936f-4c9c-9272-df5d68a91e3e · outbound

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

Towards Accurate and Efficient 3D Object Detection for Autonomous Driving: A Mixture of Experts Computing System on Edge Center- based 3d object detection and tracking

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:01:29.479335Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T20:01:29.089512Z digest=sha256:8a0e4b6034ded7e3387ce02049a73d78297ee4f5a750dc211d57dde862f7898d

Observation 7b8b6c13-e1d1-4da6-9583-d05503bfcd53 · outbound

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

Towards Accurate and Efficient 3D Object Detection for Autonomous Driving: A Mixture of Experts Computing System on Edge 3dssd: Point-based 3d single stage object detector

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:01:29.473268Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T20:01:29.093385Z digest=sha256:7755f909d9fa8f72a7f519dce773fca04422e0296e102bcc7388ff87e7cbeb02

Observation 74969964-ec85-4c4f-ac8f-dc2dc29dfc8b · outbound

This paper cites Full waveform lidar for adverse weather conditions.

Towards Accurate and Efficient 3D Object Detection for Autonomous Driving: A Mixture of Experts Computing System on Edge Full waveform lidar for adverse weather conditions

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:01:29.465770Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T20:01:29.095439Z digest=sha256:1e59096dff4c5cffcadcfd1761d8862f2fc9f6d35a735760a2903b59f5c721a5

Observation 199e8fa5-5a09-49ba-aa30-dccaeb75d8fd · outbound

This paper cites What happens for a tof lidar in fog? IEEE Trans- actions on Intelligent Transportation Systems, 22(11):6670– 6681, 2020.

Towards Accurate and Efficient 3D Object Detection for Autonomous Driving: A Mixture of Experts Computing System on Edge What happens for a tof lidar in fog? IEEE Trans- actions on Intelligent Transportation Systems, 22(11):6670– 6681, 2020

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:01:29.458755Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T20:01:29.098523Z digest=sha256:d767cac8295fa2a2ed90a59be7e54ccb3d7c5e4625ac6ed4741e8d143aa4d18e

Observation ac018d1e-4baf-4335-b1ae-535aa8da1edf · outbound

This paper cites Self-supervised sparse-to-dense: Self-supervised depth completion from lidar and monocular camera.

Towards Accurate and Efficient 3D Object Detection for Autonomous Driving: A Mixture of Experts Computing System on Edge Self-supervised sparse-to-dense: Self-supervised depth completion from lidar and monocular camera

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:01:29.452908Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T20:01:29.100439Z digest=sha256:177d4df533dbb2bddb5f06dd7117e51dc2a248e9cf52fd97c4d4b82e6f9d146a

Observation 620ea38c-9134-42fd-ba34-351567daae79 · outbound

This paper cites Ep- net: Enhancing point features with image semantics for 3d object detection.

Towards Accurate and Efficient 3D Object Detection for Autonomous Driving: A Mixture of Experts Computing System on Edge Ep- net: Enhancing point features with image semantics for 3d object detection

Reference 23

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verified fuzzy
raw_fallback, observed 2026-08-06T20:01:29.446800Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T20:01:29.102744Z digest=sha256:7df09d154b489718e78060bf2db3a4d13270822bc49848232e7ab95a7927b86d

Observation 6eb0f6e4-8537-401a-9b66-5d55297d6a38 · outbound

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

Towards Accurate and Efficient 3D Object Detection for Autonomous Driving: A Mixture of Experts Computing System on Edge Le, Alan Yuille, and Mingxing Tan

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:01:29.440568Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T20:01:29.104890Z digest=sha256:2f967cd5e36d55a939878941227aeda052bd78a0d569f2148a0287461ee20915

Observation 44ec3e76-5e0b-4289-b61b-ed70123cabb7 · outbound

This paper cites Unifying voxel-based representation with transformer for 3d object detection.

Towards Accurate and Efficient 3D Object Detection for Autonomous Driving: A Mixture of Experts Computing System on Edge Unifying voxel-based representation with transformer for 3d object detection

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:01:29.433346Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T20:01:29.108118Z digest=sha256:171514190abb947720efb3ab4346dacf00d613d3a431aa5acf9c11d6513e1fea

Observation a1d58498-5153-4aec-8e32-c1c8baccf730 · outbound

This paper cites Ppf-det: Point-pixel fusion for multi-modal 3d object detection.

Towards Accurate and Efficient 3D Object Detection for Autonomous Driving: A Mixture of Experts Computing System on Edge Ppf-det: Point-pixel fusion for multi-modal 3d object detection

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:01:29.425317Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T20:01:29.111512Z digest=sha256:e726ffdd94a7be28a7003232549858056c6288bad9cdc6cb25733fe9eb323067

Observation 85262ea7-0fce-45ee-9cb8-26c787effbfe · outbound

This paper cites RoboFusion: Towards Robust Multi-Modal 3D Object Detection via SAM.

Towards Accurate and Efficient 3D Object Detection for Autonomous Driving: A Mixture of Experts Computing System on Edge RoboFusion: Towards Robust Multi-Modal 3D Object Detection via SAM

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-06T20:01:29.114633Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:01:29.114633Z digest=sha256:316cf5ce0539635dc0631d814eb037f5f5e1ff085180d694c5c2b88d9cf2eb1c

Observation 6f6652e3-93f7-44ad-9843-f6835de139bc · outbound

This paper cites Machine learn- ing in compiler optimization.

Towards Accurate and Efficient 3D Object Detection for Autonomous Driving: A Mixture of Experts Computing System on Edge Machine learn- ing in compiler optimization

Reference 28

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verified fuzzy
raw_fallback, observed 2026-08-06T20:01:29.418586Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T20:01:29.117551Z digest=sha256:4d81ffc1e8ddc6ca1f272cf1d7c81af047a2d2367d1f8c373672dae79b5c921b

Observation 0a834183-a023-4625-ad53-4790cc0db25b · outbound

This paper cites Au- tomatic feature generation for machine learning–based opti- mising compilation.

Towards Accurate and Efficient 3D Object Detection for Autonomous Driving: A Mixture of Experts Computing System on Edge Au- tomatic feature generation for machine learning–based opti- mising compilation

Reference 29

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verified fuzzy
raw_fallback, observed 2026-08-06T20:01:29.411367Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T20:01:29.120235Z digest=sha256:b352e48af9de95698479417a25fc76e4d29e57c9593e47eb1749f0a439cbeb0a

Observation 7ce7e0ff-eaca-4ea4-b495-3481226c98c9 · outbound

This paper cites NVIDIA TensorRT Developer Guide,.

Towards Accurate and Efficient 3D Object Detection for Autonomous Driving: A Mixture of Experts Computing System on Edge NVIDIA TensorRT Developer Guide,

Reference 30

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verified fuzzy
raw_fallback, observed 2026-08-06T20:01:29.402675Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T20:01:29.122842Z digest=sha256:ca2a84a2fab4d669a606175693e1e8089630f359b93b3aed11980141b6a25314

Observation cc833ef5-22b2-4333-bc5e-1bca210438c2 · outbound

This paper cites XLA: Compiling Machine Learning for Peak Performance, 2020.

Towards Accurate and Efficient 3D Object Detection for Autonomous Driving: A Mixture of Experts Computing System on Edge XLA: Compiling Machine Learning for Peak Performance, 2020

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:01:29.385653Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T20:01:29.129890Z digest=sha256:1b8815ceb9cfea4535053e73bd9e27d23d249848c8ff8a240af44cd88742b3de

Observation 2583ce7d-3690-44e5-a444-e9a32dff731a · outbound

This paper cites Onnx: Open neural network exchange.

Towards Accurate and Efficient 3D Object Detection for Autonomous Driving: A Mixture of Experts Computing System on Edge Onnx: Open neural network exchange

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:01:29.379217Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation e5a4ab86-db46-4c57-a95b-2a97e0982502 · outbound

This paper cites U- net: Convolutional networks for biomedical image segmen- tation.

Towards Accurate and Efficient 3D Object Detection for Autonomous Driving: A Mixture of Experts Computing System on Edge U- net: Convolutional networks for biomedical image segmen- tation

Reference 33

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unresolved
no resolver link, observed 2026-08-06T20:01:29.135489Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:01:29.135489Z digest=sha256:3e9cbc5ea861733411b4259505df0a4278a567fea96d49741099ff2cc6c9d1ce

Observation 83ad18dd-19c2-4836-8b82-c8c900325146 · outbound

This paper cites Adaptive mixtures of local experts.Neu- ral computation, 3(1):79–87, 1991.

Towards Accurate and Efficient 3D Object Detection for Autonomous Driving: A Mixture of Experts Computing System on Edge Adaptive mixtures of local experts.Neu- ral computation, 3(1):79–87, 1991

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-06T20:01:29.138047Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:01:29.138047Z digest=sha256:01498e91b3504b458b3c195068187cc1a6deda6890f6aeb5201b655ae73322d7

Observation 3920f929-e156-4795-b964-18eb877a3a17 · outbound

This paper cites Second: Sparsely em- bedded convolutional detection.

Towards Accurate and Efficient 3D Object Detection for Autonomous Driving: A Mixture of Experts Computing System on Edge Second: Sparsely em- bedded convolutional detection

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:01:29.364864Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation de6337c6-0940-4f6c-b60c-973385d02375 · outbound

This paper cites Communication complexity and parallel computing.

Towards Accurate and Efficient 3D Object Detection for Autonomous Driving: A Mixture of Experts Computing System on Edge Communication complexity and parallel computing

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:01:29.356711Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T20:01:29.142510Z digest=sha256:e9b9f8480219b15008b2569135269c6d5ab7c51636b6385e251f5f621ea4bb69

Observation e4fcd392-5485-4b44-9521-835379d21381 · outbound

This paper cites Are we ready for autonomous driving? the kitti vision benchmark suite.

Towards Accurate and Efficient 3D Object Detection for Autonomous Driving: A Mixture of Experts Computing System on Edge Are we ready for autonomous driving? the kitti vision benchmark suite

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:01:29.348909Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T20:01:29.144732Z digest=sha256:00ecaab7e130a3ac5895af1d3b9607458f9654feae6a76610e4c9327a881ab89

Observation bc5844fd-de17-41b5-a068-04f5243d054c · outbound

This paper cites nuscenes: A multi- modal dataset for autonomous driving.

Towards Accurate and Efficient 3D Object Detection for Autonomous Driving: A Mixture of Experts Computing System on Edge nuscenes: A multi- modal dataset for autonomous driving

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-06T20:01:29.146650Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:01:29.146650Z digest=sha256:49cf25d6d8f82b8d49d1602088b2c5e8b8fb37e1eb46b3642a320cd923b37ad3

Observation df3dcfa5-7a70-4338-8b39-5aaa0304dc60 · outbound

This paper cites Introducing kolmogorov–smirnov tests under uncertainty: an application to radioactive data.

Towards Accurate and Efficient 3D Object Detection for Autonomous Driving: A Mixture of Experts Computing System on Edge Introducing kolmogorov–smirnov tests under uncertainty: an application to radioactive data

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:01:29.336895Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T20:01:29.149274Z digest=sha256:f312d6f4eb905617bb5338870a812d0c246fd19a1ec3e82f13b19d34273203d8

Observation 54718ee6-e001-402d-86f9-23740c79e7e6 · outbound

This paper cites M3detr: Multi- representation, multi-scale, mutual-relation 3d object detec- tion with transformers.

Towards Accurate and Efficient 3D Object Detection for Autonomous Driving: A Mixture of Experts Computing System on Edge M3detr: Multi- representation, multi-scale, mutual-relation 3d object detec- tion with transformers

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:01:29.329466Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T20:01:29.152138Z digest=sha256:f5fa7ce5fd4525cf24947239b8948a0de1f55226428fd9086de315eda6a4354e

Observation 46b8dfa9-0ca2-4cc7-857d-d34facfc9b0c · outbound

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

Towards Accurate and Efficient 3D Object Detection for Autonomous Driving: A Mixture of Experts Computing System on Edge Pv-rcnn: Point- voxel feature set abstraction for 3d object detection

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:01:29.315199Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T20:01:29.154099Z digest=sha256:7d68c5b7e311b40171d46c7b292c490bd7f2816e79bfab89bfd990a6636329c8

Observation 7a578fc0-cede-45c2-aa2e-2b33fc19cc96 · outbound

This paper cites Gle-net: A global and local ensemble network for aerial object detection.

Towards Accurate and Efficient 3D Object Detection for Autonomous Driving: A Mixture of Experts Computing System on Edge Gle-net: A global and local ensemble network for aerial object detection

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:01:29.307610Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T20:01:29.156469Z digest=sha256:caae56ea8e05fef90ef7b850f75a3e6477cb771890623e99c5fa3e2c16d887fc

Observation 8a151ca7-112e-43f6-aef9-85b85b287421 · outbound

This paper cites From points to parts: 3d object detection from point cloud with part-aware and part-aggregation net- work.

Towards Accurate and Efficient 3D Object Detection for Autonomous Driving: A Mixture of Experts Computing System on Edge From points to parts: 3d object detection from point cloud with part-aware and part-aggregation net- work

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:01:29.301402Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T20:01:29.158312Z digest=sha256:de7e8f77a2dc889b41687bf7be8a568f01a9ae97fba0828ed43a51cf8c28bc58

Observation c6f2492f-a893-4cd8-a7cf-c40f29fa299f · outbound

This paper cites 3onet: 3d detector for occluded object under obstructed conditions.

Towards Accurate and Efficient 3D Object Detection for Autonomous Driving: A Mixture of Experts Computing System on Edge 3onet: 3d detector for occluded object under obstructed conditions

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:01:29.292810Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T20:01:29.160183Z digest=sha256:d23c00b390ca76b93565287f478a9e5701f507ecc0619982e852d6691ece5b7e

Observation 282edbe6-31c0-48a1-98cd-c305a0a049eb · outbound

This paper cites Logonet: Towards accurate 3d object detection with local-to-global cross-modal fusion.

Towards Accurate and Efficient 3D Object Detection for Autonomous Driving: A Mixture of Experts Computing System on Edge Logonet: Towards accurate 3d object detection with local-to-global cross-modal fusion

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:01:29.285870Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T20:01:29.162616Z digest=sha256:4a91fcbede375195cba0c468fac03c82c6bafc880fac07a2c12f202a1bdd7972

Observation 8bfaa18c-6931-4295-82f9-e9e6e634cc76 · outbound

This paper cites V oxel field fusion for 3d object detection.

Towards Accurate and Efficient 3D Object Detection for Autonomous Driving: A Mixture of Experts Computing System on Edge V oxel field fusion for 3d object detection

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:01:29.278598Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T20:01:29.165923Z digest=sha256:ae46852e435110fc37655ab588cb08fc14b8f2ae1e70e324144dd246c28896af

Observation 0e7ba952-d483-4984-ba61-4062750a5ff9 · outbound

This paper cites Cat-det: Con- trastively augmented transformer for multi-modal 3d object detection.

Towards Accurate and Efficient 3D Object Detection for Autonomous Driving: A Mixture of Experts Computing System on Edge Cat-det: Con- trastively augmented transformer for multi-modal 3d object detection

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:01:29.270206Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T20:01:29.168764Z digest=sha256:a8653a26f65a9cf594e3577b0c70a44b9d144314ee6a38380475c9ef00c96d01

Observation 82c606f2-a93c-43e2-a8da-5fe4255dad2c · outbound

This paper cites Transformation-equivariant 3d object detection for autonomous driving.

Towards Accurate and Efficient 3D Object Detection for Autonomous Driving: A Mixture of Experts Computing System on Edge Transformation-equivariant 3d object detection for autonomous driving

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:01:29.262340Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T20:01:29.171663Z digest=sha256:0a79bac61782ca246703f28c5373d78d857c0d5a5de7a6696e5f806c0319aea5

Observation 1a3ba178-5b7f-457a-9e2a-d2742f9078cf · outbound

This paper cites an unresolved cited work.

Towards Accurate and Efficient 3D Object Detection for Autonomous Driving: A Mixture of Experts Computing System on Edge Unresolved cited work

Reference 49

Resolution
unresolved
raw_fallback, observed 2026-08-06T20:01:29.254717Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T20:01:29.173961Z digest=sha256:af27d869e1130a07502493bb13eb6bfd449153277e9f73b3cfd9f37ad168b013

Observation cf6d000a-217b-44ba-9ec5-e14b2a8f19d1 · outbound

This paper cites Focal- former3d: focusing on hard instance for 3d object detection.

Towards Accurate and Efficient 3D Object Detection for Autonomous Driving: A Mixture of Experts Computing System on Edge Focal- former3d: focusing on hard instance for 3d object detection

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-06T20:01:29.176073Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:01:29.176073Z digest=sha256:6211148198766339a05ee18556f590c56e9f911fe42dde209abb017e34cc95cb

Observation 28792fc7-388c-4ab4-a6d0-d4dd30e1858a · outbound

This paper cites Rus, and Song Han.

Towards Accurate and Efficient 3D Object Detection for Autonomous Driving: A Mixture of Experts Computing System on Edge Rus, and Song Han

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:01:29.244417Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T20:01:29.178188Z digest=sha256:ad940117516280926578a208bec41c4de640ef731874be211e20b050a1dc8422

Observation 2086bc8e-f776-4def-8544-e420d73558ed · outbound

This paper cites an unresolved cited work.

Towards Accurate and Efficient 3D Object Detection for Autonomous Driving: A Mixture of Experts Computing System on Edge Unresolved cited work

Reference 2024

Resolution
parse uncertain
raw_fallback, observed 2026-08-06T20:01:29.396326Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T20:01:29.126422Z digest=sha256:467dcc69a2ef77a33fff1623205b0e6d77560a40efba9f80727bdecbc19944c6

Pith citing papers

No inbound Pith citation observations are available.