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Paper Citation Record · LEDGER

An Iterative Task-Driven Framework for Resilient LiDAR Place Recognition in Adverse Weather

As of 17 August 2026, this Paper Citation Record lists 50 of 50 outbound references and 0 inbound Pith citation observations for arXiv:2504.14806.

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

pith.paper-citation-record.v1
2504.14806 v2

Coverage vector

measured 50 of 50 reference resolution

Typed states for the displayed outbound observations.

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measured 50 of 50 standing notices

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measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

50 of 50 outbound references displayed

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External citation measurements

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Outbound references

Observation 985c33dd-eeca-4649-a5f5-cdbf54b4ad79 · outbound

This paper cites Cvtnet: A cross-view transformer network for lidar-based place recognition in autonomous driving envi- ronments,.

An Iterative Task-Driven Framework for Resilient LiDAR Place Recognition in Adverse Weather Cvtnet: A cross-view transformer network for lidar-based place recognition in autonomous driving envi- ronments,

Reference 1

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Observation 173b80ce-9b05-40f3-88a4-cfe52ad1dcb2 · outbound

This paper cites Multimodal features and accurate place recognition with robust optimization for lidar–visual–inertial slam,.

An Iterative Task-Driven Framework for Resilient LiDAR Place Recognition in Adverse Weather Multimodal features and accurate place recognition with robust optimization for lidar–visual–inertial slam,

Reference 2

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Observation bb212f40-e5d9-44fb-b90e-fe85666458f9 · outbound

This paper cites M-divo: Multiple tof rgb-d cameras-enhanced depth–inertial–visual odometry,.

An Iterative Task-Driven Framework for Resilient LiDAR Place Recognition in Adverse Weather M-divo: Multiple tof rgb-d cameras-enhanced depth–inertial–visual odometry,

Reference 3

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Observation ade767d8-0b72-455a-89db-b2c555df87dc · outbound

This paper cites High precision and robust vehicle localization algorithm with visual-lidar-imu fusion,.

An Iterative Task-Driven Framework for Resilient LiDAR Place Recognition in Adverse Weather High precision and robust vehicle localization algorithm with visual-lidar-imu fusion,

Reference 4

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Observation b250b8fd-219a-4a07-9b10-f944d55c070d · outbound

This paper cites Apmc-lom: Accurate 3d lidar odometry and mapping based on pyramid warm-up registration and multi-constraint optimization,.

An Iterative Task-Driven Framework for Resilient LiDAR Place Recognition in Adverse Weather Apmc-lom: Accurate 3d lidar odometry and mapping based on pyramid warm-up registration and multi-constraint optimization,

Reference 5

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Observation 74dd2f30-b8eb-486b-b2bd-ce486cee0a40 · outbound

This paper cites Evaluation of range sensing-based place recognition for long-term urban localization,.

An Iterative Task-Driven Framework for Resilient LiDAR Place Recognition in Adverse Weather Evaluation of range sensing-based place recognition for long-term urban localization,

Reference 6

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Observation 8237b046-55bb-4360-b0cf-4daf0d3b660f · outbound

This paper cites ResLPR: A LiDAR Data Restoration Network and Benchmark for Robust Place Recognition Against Weather Corruptions.

An Iterative Task-Driven Framework for Resilient LiDAR Place Recognition in Adverse Weather ResLPR: A LiDAR Data Restoration Network and Benchmark for Robust Place Recognition Against Weather Corruptions

Reference 7

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Observation 36fd1068-3043-4651-93ed-ab46114944d0 · outbound

This paper cites Full waveform lidar for ad- verse weather conditions,.

An Iterative Task-Driven Framework for Resilient LiDAR Place Recognition in Adverse Weather Full waveform lidar for ad- verse weather conditions,

Reference 8

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Observation 8d05d616-439d-48cd-bc33-0af1fb4efdc5 · outbound

This paper cites What happens for a tof lidar in fog?.

An Iterative Task-Driven Framework for Resilient LiDAR Place Recognition in Adverse Weather What happens for a tof lidar in fog?

Reference 9

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Observation 3b46e868-9eaa-4147-9c76-0659a555991d · outbound

This paper cites Robust multimodal vehicle detection in foggy weather using complementary lidar and radar signals,.

An Iterative Task-Driven Framework for Resilient LiDAR Place Recognition in Adverse Weather Robust multimodal vehicle detection in foggy weather using complementary lidar and radar signals,

Reference 10

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Observation de1106e9-86df-4fbc-94ee-1b32eddac81b · outbound

This paper cites Robust multi-task learning network for complex lidar point cloud data preprocessing,.

An Iterative Task-Driven Framework for Resilient LiDAR Place Recognition in Adverse Weather Robust multi-task learning network for complex lidar point cloud data preprocessing,

Reference 11

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Observation 677cd962-76cd-452f-80be-e952b6d38d62 · outbound

This paper cites 4denoisenet: Adverse weather denoising from adjacent point clouds,.

An Iterative Task-Driven Framework for Resilient LiDAR Place Recognition in Adverse Weather 4denoisenet: Adverse weather denoising from adjacent point clouds,

Reference 12

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Observation 5e37e8a2-56e8-4402-849b-9d398c51f8e2 · outbound

This paper cites TripleMixer: A 3D Point Cloud Denoising Model for Adverse Weather.

An Iterative Task-Driven Framework for Resilient LiDAR Place Recognition in Adverse Weather TripleMixer: A 3D Point Cloud Denoising Model for Adverse Weather

Reference 13

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Observation e56508de-53f4-488f-b719-f3ce65e7ae69 · outbound

This paper cites Energy-based detection of adverse weather effects in lidar data,.

An Iterative Task-Driven Framework for Resilient LiDAR Place Recognition in Adverse Weather Energy-based detection of adverse weather effects in lidar data,

Reference 14

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Observation bef197bb-0592-4ac9-a9b7-efb280f548a0 · outbound

This paper cites Dlc-slam: A robust lidar-slam system with learning-based denoising and loop closure,.

An Iterative Task-Driven Framework for Resilient LiDAR Place Recognition in Adverse Weather Dlc-slam: A robust lidar-slam system with learning-based denoising and loop closure,

Reference 15

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Observation 40d79749-a706-45be-ab4f-89247a12a0fa · outbound

This paper cites Reloc: A restoration-assisted framework for robust image tampering localization,.

An Iterative Task-Driven Framework for Resilient LiDAR Place Recognition in Adverse Weather Reloc: A restoration-assisted framework for robust image tampering localization,

Reference 16

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Observation ee75db45-15a7-462f-900e-a4487748df2f · outbound

This paper cites Detection- friendly dehazing: Object detection in real-world hazy scenes,.

An Iterative Task-Driven Framework for Resilient LiDAR Place Recognition in Adverse Weather Detection- friendly dehazing: Object detection in real-world hazy scenes,

Reference 17

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Observation 6ca1a0ae-aeed-4dce-9d77-f42f57190b46 · outbound

This paper cites Scan context: Egocentric spatial descriptor for place recognition within 3d point cloud map,.

An Iterative Task-Driven Framework for Resilient LiDAR Place Recognition in Adverse Weather Scan context: Egocentric spatial descriptor for place recognition within 3d point cloud map,

Reference 18

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Observation 882f3173-96b8-4d83-94c9-5a7e3a2bf872 · outbound

This paper cites Appearance-based loop detection from 3d laser data using the normal distributions transform,.

An Iterative Task-Driven Framework for Resilient LiDAR Place Recognition in Adverse Weather Appearance-based loop detection from 3d laser data using the normal distributions transform,

Reference 19

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Observation 56969e27-70d0-4814-94ce-aa23ace752d1 · outbound

This paper cites A fast histogram-based similarity measure for detecting loop closures in 3-d lidar data,.

An Iterative Task-Driven Framework for Resilient LiDAR Place Recognition in Adverse Weather A fast histogram-based similarity measure for detecting loop closures in 3-d lidar data,

Reference 20

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Observation c1da7d97-53a4-4617-8273-af3f89237c57 · outbound

This paper cites A fast lidar place recognition and localization method by fusing local and global search,.

An Iterative Task-Driven Framework for Resilient LiDAR Place Recognition in Adverse Weather A fast lidar place recognition and localization method by fusing local and global search,

Reference 21

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Observation 24affdfa-8cdf-4e2c-b610-08fc41c17b07 · outbound

This paper cites Pointnetvlad: Deep point cloud based retrieval for large-scale place recognition,.

An Iterative Task-Driven Framework for Resilient LiDAR Place Recognition in Adverse Weather Pointnetvlad: Deep point cloud based retrieval for large-scale place recognition,

Reference 22

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Observation 54aaea78-d81a-4033-b814-85c4e34ad7df · outbound

This paper cites Pointnet: Deep learning on point sets for 3d classification and segmentation,.

An Iterative Task-Driven Framework for Resilient LiDAR Place Recognition in Adverse Weather Pointnet: Deep learning on point sets for 3d classification and segmentation,

Reference 23

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Observation ffd7e548-28b0-4fca-872e-2fff92942e18 · outbound

This paper cites Netvlad: Cnn architecture for weakly supervised place recognition,.

An Iterative Task-Driven Framework for Resilient LiDAR Place Recognition in Adverse Weather Netvlad: Cnn architecture for weakly supervised place recognition,

Reference 24

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This paper cites Lps-net: Lightweight parameter- shared network for point cloud-based place recognition,.

An Iterative Task-Driven Framework for Resilient LiDAR Place Recognition in Adverse Weather Lps-net: Lightweight parameter- shared network for point cloud-based place recognition,

Reference 25

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Observation 2f92e566-3242-455f-ba63-038511d171c0 · outbound

This paper cites Overlaptransformer: An efficient and yaw-angle-invariant transformer network for lidar-based place recognition,.

An Iterative Task-Driven Framework for Resilient LiDAR Place Recognition in Adverse Weather Overlaptransformer: An efficient and yaw-angle-invariant transformer network for lidar-based place recognition,

Reference 26

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Observation 462e4f95-dba1-457f-a98d-1d2b0e38b420 · outbound

This paper cites Survey on lidar perception in adverse weather conditions,.

An Iterative Task-Driven Framework for Resilient LiDAR Place Recognition in Adverse Weather Survey on lidar perception in adverse weather conditions,

Reference 27

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Observation dd0cc11c-116d-4e75-8ff6-7d78b60786f3 · outbound

This paper cites Learn to model and filter point cloud noise for a near-infrared tof lidar in adverse weather,.

An Iterative Task-Driven Framework for Resilient LiDAR Place Recognition in Adverse Weather Learn to model and filter point cloud noise for a near-infrared tof lidar in adverse weather,

Reference 29

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This paper cites 3d is here: Point cloud library (pcl),.

An Iterative Task-Driven Framework for Resilient LiDAR Place Recognition in Adverse Weather 3d is here: Point cloud library (pcl),

Reference 30

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Observation 664cbd28-9f0e-46ac-83bc-d16e8e3277f6 · outbound

This paper cites DSOR: A Scalable Statistical Filter for Removing Falling Snow from LiDAR Point Clouds in Severe Winter Weather.

An Iterative Task-Driven Framework for Resilient LiDAR Place Recognition in Adverse Weather DSOR: A Scalable Statistical Filter for Removing Falling Snow from LiDAR Point Clouds in Severe Winter Weather

Reference 31

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Observation e06ee1be-a929-4652-8332-bf2b0884afea · outbound

This paper cites A scalable and accurate de-snowing algorithm for lidar point clouds in winter,.

An Iterative Task-Driven Framework for Resilient LiDAR Place Recognition in Adverse Weather A scalable and accurate de-snowing algorithm for lidar point clouds in winter,

Reference 32

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Observation dd3ff64f-9eaf-430e-b4ca-1392804cdb86 · outbound

This paper cites Fast and accurate desnowing algorithm for lidar point clouds,.

An Iterative Task-Driven Framework for Resilient LiDAR Place Recognition in Adverse Weather Fast and accurate desnowing algorithm for lidar point clouds,

Reference 33

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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 6b51c162-48c7-4d02-acc8-7bb055f147b4 · outbound

This paper cites Mo- bileweathernet for lidar-only weather estimation,.

An Iterative Task-Driven Framework for Resilient LiDAR Place Recognition in Adverse Weather Mo- bileweathernet for lidar-only weather estimation,

Reference 34

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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 24cd797f-a5ad-4759-abdb-e26036ca07b1 · outbound

This paper cites Cnn-based lidar point cloud de-noising in adverse weather,.

An Iterative Task-Driven Framework for Resilient LiDAR Place Recognition in Adverse Weather Cnn-based lidar point cloud de-noising in adverse weather,

Reference 35

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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 1a81cafe-3a84-4fbf-9309-09adac9e35b1 · outbound

This paper cites Perception and sensing for autonomous vehicles under adverse weather conditions: A survey,.

An Iterative Task-Driven Framework for Resilient LiDAR Place Recognition in Adverse Weather Perception and sensing for autonomous vehicles under adverse weather conditions: A survey,

Reference 36

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Observation a726c293-f2e9-4eca-b18e-a5a5bccff578 · outbound

This paper cites Deep learning- based robust positioning for all-weather autonomous driving,.

An Iterative Task-Driven Framework for Resilient LiDAR Place Recognition in Adverse Weather Deep learning- based robust positioning for all-weather autonomous driving,

Reference 37

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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 c59d6962-e3c1-46a2-9bc6-20af7ab3b9fa · outbound

This paper cites Ultra-fast deraining plugin for vision-based perception of autonomous driving,.

An Iterative Task-Driven Framework for Resilient LiDAR Place Recognition in Adverse Weather Ultra-fast deraining plugin for vision-based perception of autonomous driving,

Reference 38

Resolution
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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 3dfe0c97-55bf-43f8-b6c3-55efe138f9f1 · outbound

This paper cites A convolutional network for joint deraining and dehazing from a single image for autonomous driving in rain,.

An Iterative Task-Driven Framework for Resilient LiDAR Place Recognition in Adverse Weather A convolutional network for joint deraining and dehazing from a single image for autonomous driving in rain,

Reference 39

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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 0ef0d66f-d288-46b0-ac8e-10332ad1b80f · outbound

This paper cites Uscformer: Unified trans- former with semantically contrastive learning for image dehazing,.

An Iterative Task-Driven Framework for Resilient LiDAR Place Recognition in Adverse Weather Uscformer: Unified trans- former with semantically contrastive learning for image dehazing,

Reference 40

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Observation 3eac3998-b146-4c81-8a9a-753487f92a99 · outbound

This paper cites An oriented object detector for hazy remote sensing images,.

An Iterative Task-Driven Framework for Resilient LiDAR Place Recognition in Adverse Weather An oriented object detector for hazy remote sensing images,

Reference 41

Resolution
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Source-reported events for the cited work

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Observation d78c9619-9ddf-487a-9863-53ed7e5f25ac · outbound

This paper cites Bridging the gap between haze scenarios: A unified image dehazing model,.

An Iterative Task-Driven Framework for Resilient LiDAR Place Recognition in Adverse Weather Bridging the gap between haze scenarios: A unified image dehazing model,

Reference 42

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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 d98fcb37-bf2b-4030-bd14-985be5c38465 · outbound

This paper cites Collaboration of dehazing and object detection tasks: A multi-task learning framework for foggy image,.

An Iterative Task-Driven Framework for Resilient LiDAR Place Recognition in Adverse Weather Collaboration of dehazing and object detection tasks: A multi-task learning framework for foggy image,

Reference 43

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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 ec11e433-3909-4def-917a-8c28b80cd0e2 · outbound

This paper cites Facenet: A unified embed- ding for face recognition and clustering,.

An Iterative Task-Driven Framework for Resilient LiDAR Place Recognition in Adverse Weather Facenet: A unified embed- ding for face recognition and clustering,

Reference 44

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Unavailable: canonical work link unavailable.

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Observation bb2a2465-984c-40fe-9294-8c31cee2ee05 · outbound

This paper cites Lcdnet: Deep loop closure detection and point cloud registration for lidar slam,.

An Iterative Task-Driven Framework for Resilient LiDAR Place Recognition in Adverse Weather Lcdnet: Deep loop closure detection and point cloud registration for lidar slam,

Reference 45

Resolution
verified fuzzy
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Source-reported events for the cited work

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

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Observation bda461ff-6de3-4361-8aa4-3a9e8d3adc93 · outbound

This paper cites Boreas: A multi-season autonomous driving dataset,.

An Iterative Task-Driven Framework for Resilient LiDAR Place Recognition in Adverse Weather Boreas: A multi-season autonomous driving dataset,

Reference 46

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

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Observation 5aa0e4ef-b60c-47f6-8548-5764e124a160 · outbound

This paper cites Semantickitti: A dataset for semantic scene understanding of lidar sequences,.

An Iterative Task-Driven Framework for Resilient LiDAR Place Recognition in Adverse Weather Semantickitti: A dataset for semantic scene understanding of lidar sequences,

Reference 47

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Observation 2ba0700b-890e-44bf-aa6a-fc7bf33ba62a · outbound

This paper cites L3-net: Towards learning based lidar localization for autonomous driving,.

An Iterative Task-Driven Framework for Resilient LiDAR Place Recognition in Adverse Weather L3-net: Towards learning based lidar localization for autonomous driving,

Reference 48

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verified fuzzy
raw_fallback, observed 2026-08-16T11:46:08.648778Z

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 4855c681-ee39-4e6c-9cc1-c689b9f63c6c · outbound

This paper cites Lidar Light Scattering Augmentation (LISA): Physics-based Simulation of Adverse Weather Conditions for 3D Object Detection.

An Iterative Task-Driven Framework for Resilient LiDAR Place Recognition in Adverse Weather Lidar Light Scattering Augmentation (LISA): Physics-based Simulation of Adverse Weather Conditions for 3D Object Detection

Reference 49

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Unavailable: canonical work link unavailable.

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Observation e0d05ff6-c70f-451d-8c31-181cc62003da · outbound

This paper cites Adam: A Method for Stochastic Optimization.

An Iterative Task-Driven Framework for Resilient LiDAR Place Recognition in Adverse Weather Adam: A Method for Stochastic Optimization

Reference 50

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Unavailable: canonical work link unavailable.

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Observation b4c36b81-f6a2-4c23-8467-b6142ae28d03 · outbound

This paper cites On the mathematical prop- erties of the structural similarity index,.

An Iterative Task-Driven Framework for Resilient LiDAR Place Recognition in Adverse Weather On the mathematical prop- erties of the structural similarity index,

Reference 51

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unresolved
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Pith citing papers

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