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Paper Citation Record · LEDGER

Multi-Sensor Alignment for Weather Simulations

As of 8 August 2026, this Paper Citation Record lists 23 of 23 outbound references and 0 inbound Pith citation observations for arXiv:2607.25612.

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

pith.paper-citation-record.v1
2607.25612 v1

Coverage vector

measured 23 of 23 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T01:59:52.913218Z

measured 23 of 23 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

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.

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Reference resolution

23 of 23 outbound references displayed

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External citation measurements

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Outbound references

Observation f826b389-6460-4ec1-801d-a182a16c406e · outbound

This paper cites WeatherEdit: Controllable Weather Editing with 4D Gaussian Field.

Multi-Sensor Alignment for Weather Simulations WeatherEdit: Controllable Weather Editing with 4D Gaussian Field

Reference 1

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source=pdf_text observed=2026-08-01T01:59:52.818123Z digest=sha256:607fd19ba0b00118c402b80162ab9ee59cdaed9372fb67c846d9cab220d54b7f

Observation 1f4d5275-0ef4-48ad-b627-b728c72fd8a8 · outbound

This paper cites Improving Robustness of LiDAR-Camera Fusion Model against Weather Corruption from Fusion Strategy Perspective.

Multi-Sensor Alignment for Weather Simulations Improving Robustness of LiDAR-Camera Fusion Model against Weather Corruption from Fusion Strategy Perspective

Reference 2

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source=pdf_text observed=2026-08-01T01:59:52.823405Z digest=sha256:a14bc4b9cdbbdc2863ba20ac9acd5a50ddcce8d9c26a71256554d85cdc42332b

Observation 2ae1c3e4-32fd-475e-b6cc-82159ff7ff27 · outbound

This paper cites Benchmarking robustness of 3d object detection to common corruptions,.

Multi-Sensor Alignment for Weather Simulations Benchmarking robustness of 3d object detection to common corruptions,

Reference 3

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source=pdf_text observed=2026-08-01T01:59:52.828107Z digest=sha256:16caabf21dd967325c24d34a774c23ad9e7cb479841e31ff8508d6c083fe0f9e

Observation 05bfb893-70e5-4d92-a28a-8132f3166d83 · outbound

This paper cites MSC-Bench: Benchmarking and Analyzing Multi-Sensor Corruption for Driving Perception.

Multi-Sensor Alignment for Weather Simulations MSC-Bench: Benchmarking and Analyzing Multi-Sensor Corruption for Driving Perception

Reference 4

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source=pdf_text observed=2026-08-01T01:59:52.832255Z digest=sha256:d0aa60fb888e1f92c6c5dd20b1043c5b0a119bae17a22e34648c2c82ad9467c6

Observation 803fcfee-9dfa-4d24-b936-0728434ce1f2 · outbound

This paper cites Lidar snowfall simulation for robust 3d object detection,.

Multi-Sensor Alignment for Weather Simulations Lidar snowfall simulation for robust 3d object detection,

Reference 5

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Observation 26cb0cdd-8f38-42a9-8725-5dfd5bfe9dd4 · outbound

This paper cites Fog simulation on real lidar point clouds for 3d object detection in adverse weather,.

Multi-Sensor Alignment for Weather Simulations Fog simulation on real lidar point clouds for 3d object detection in adverse weather,

Reference 6

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source=pdf_text observed=2026-08-01T01:59:52.841374Z digest=sha256:a9b13d9325506cd87a6c0910121373ac47954361a3723b6ca3b387c501d6341f

Observation 008475e2-10fc-47e0-b550-4200f8cc29dd · outbound

This paper cites an unresolved cited work.

Multi-Sensor Alignment for Weather Simulations Unresolved cited work

Reference 7

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source=pdf_text observed=2026-08-01T01:59:52.846002Z digest=sha256:9502279b0529e30b168d0649bee8d841df7c37051bb1dbb051d69c9ed3b12b56

Observation 5e98c447-1af0-4ea2-978d-eb7742524685 · outbound

This paper cites Influences of weather phenomena on automotive laser radar systems,.

Multi-Sensor Alignment for Weather Simulations Influences of weather phenomena on automotive laser radar systems,

Reference 8

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source=pdf_text observed=2026-08-01T01:59:52.850004Z digest=sha256:30ec6e988116a905151941e81fc1ae3f8d64e42bbacb30f7ca70bd09e1ebbfaa

Observation 2669dc87-85b0-4a7a-b064-372fa5624226 · outbound

This paper cites Fog simulation on real lidar point clouds for 3d object detection in adverse weather,.

Multi-Sensor Alignment for Weather Simulations Fog simulation on real lidar point clouds for 3d object detection in adverse weather,

Reference 9

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Observation 0fcca33a-1cf8-4ac6-815b-76d1194148a5 · outbound

This paper cites LiDAR Snowfall Simulation for Robust 3D Object Detection.

Multi-Sensor Alignment for Weather Simulations LiDAR Snowfall Simulation for Robust 3D Object Detection

Reference 10

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source=pdf_text observed=2026-08-01T01:59:52.862636Z digest=sha256:75c444526e69843781fdced2e4bbad50110da3678933e296e4133cff88c9cadf

Observation cd8eebc9-eac1-4024-bb37-f1a32f56aadc · outbound

This paper cites Lidar light scattering augmentation (lisa): Physics-based simulation of adverse weather conditions for 3d object detection,.

Multi-Sensor Alignment for Weather Simulations Lidar light scattering augmentation (lisa): Physics-based simulation of adverse weather conditions for 3d object detection,

Reference 11

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source=pdf_text observed=2026-08-01T01:59:52.867083Z digest=sha256:c92109d854e8b6e62643f458b44d849592c741fc64947a94bfa9fa0cf3b413d0

Observation 72d2cd60-bc28-4f5d-b74f-dee62e4a6afc · outbound

This paper cites Tsit: A simple and versatile framework for image-to-image translation,.

Multi-Sensor Alignment for Weather Simulations Tsit: A simple and versatile framework for image-to-image translation,

Reference 12

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source=pdf_text observed=2026-08-01T01:59:52.875713Z digest=sha256:ce6a5588e3a00997f3108413da647d46d99954e3d151b40d575ff3e7462adea4

Observation c2cb480a-fd7c-48c7-9ece-86d5e1842e11 · outbound

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

Multi-Sensor Alignment for Weather Simulations Lidar Light Scattering Augmentation (LISA): Physics-based Simulation of Adverse Weather Conditions for 3D Object Detection

Reference 13

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source=pdf_text observed=2026-08-01T01:59:52.871060Z digest=sha256:4ddcd549dfb07d7cb5249fc3e390236ef4acb5e39848f8b9b443f6cd10df6124

Observation 54375a2a-8dd4-45a3-9e85-7f04fa7a5f9f · outbound

This paper cites nuScenes: A multimodal dataset for autonomous driving.

Multi-Sensor Alignment for Weather Simulations nuScenes: A multimodal dataset for autonomous driving

Reference 14

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source=pdf_text observed=2026-08-01T01:59:52.883801Z digest=sha256:9ea649ae384a0ed4f9dacde692940bcf926a5e777c2af0f479bf5c9f6bd9291e

Observation 23602337-01c0-4498-8567-0d7ec232ad07 · outbound

This paper cites Seeing through fog without seeing fog: Deep multimodal sensor fusion in unseen adverse weather,.

Multi-Sensor Alignment for Weather Simulations Seeing through fog without seeing fog: Deep multimodal sensor fusion in unseen adverse weather,

Reference 15

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source=pdf_text observed=2026-08-01T01:59:52.879837Z digest=sha256:b5b248daf9084984ebee3c3eb671592a332ea8c41cbe8296f1e21947849206ac

Observation 184915c9-76ce-4bd3-ad72-92da76abbd3d · outbound

This paper cites GANs Trained by a Two Time-Scale Update Rule Converge to a Local Nash Equilibrium.

Multi-Sensor Alignment for Weather Simulations GANs Trained by a Two Time-Scale Update Rule Converge to a Local Nash Equilibrium

Reference 16

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source=pdf_text observed=2026-08-01T01:59:52.892104Z digest=sha256:4853ba67ddeb6be90e06fbd1274dfb734a57c86a44d8edc2533c40e2cf8c0ab6

Observation 1a9ddbfc-f67e-47e7-a085-1a8b7f8c6d37 · outbound

This paper cites Weitkamp, Ed.,Lidar: Range-Resolved Optical Remote Sensing of the Atmosphere, 1st ed., ser.

Multi-Sensor Alignment for Weather Simulations Weitkamp, Ed.,Lidar: Range-Resolved Optical Remote Sensing of the Atmosphere, 1st ed., ser

Reference 17

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source=pdf_text observed=2026-08-01T01:59:52.888068Z digest=sha256:437a629e0b1e68ea1be1f3cd5610cd29b7cc56d0e34fde21a49a3a690c1ff579

Observation 96f88089-21ee-4933-b079-88d30a620ff5 · outbound

This paper cites A kernel two-sample test,.

Multi-Sensor Alignment for Weather Simulations A kernel two-sample test,

Reference 18

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source=pdf_text observed=2026-08-01T01:59:52.900866Z digest=sha256:f4291db475fbdf8d887ff7b01fce1af43015af213fd264b0748e9c550fdb9c7c

Observation 1a745ca4-e0f2-4abb-97b0-1c13db501dc8 · outbound

This paper cites Demystifying MMD GANs.

Multi-Sensor Alignment for Weather Simulations Demystifying MMD GANs

Reference 19

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source=pdf_text observed=2026-08-01T01:59:52.896575Z digest=sha256:2911f68aee12f86a64b576d635c2489f14bcb6a67cac2a1c0ff315b550d1f1bc

Observation 4111b998-90fb-4ef4-a625-09761d840891 · outbound

This paper cites Deepinterac- tion: 3d object detection via modality interaction,.

Multi-Sensor Alignment for Weather Simulations Deepinterac- tion: 3d object detection via modality interaction,

Reference 20

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source=pdf_text observed=2026-08-01T01:59:52.909198Z digest=sha256:06506993912e8dee64239cf012553905b68a8a488c71564a733cee49db527532

Observation 989fd532-d7f1-44ad-9a9f-197375bd9c7c · outbound

This paper cites Bevfusion: A simple and robust lidar-camera fusion frame- work,.

Multi-Sensor Alignment for Weather Simulations Bevfusion: A simple and robust lidar-camera fusion frame- work,

Reference 21

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source=pdf_text observed=2026-08-01T01:59:52.905039Z digest=sha256:9abe2e6a7eed3b014c5459b93bfd5c79a1886c58dc0fe75a6b0e33678c16710b

Observation ac48636a-b199-483f-82ac-0bc38e3f6ba1 · outbound

This paper cites Cross modal transformer: Towards fast and robust 3d object detection,.

Multi-Sensor Alignment for Weather Simulations Cross modal transformer: Towards fast and robust 3d object detection,

Reference 23

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source=pdf_text observed=2026-08-01T01:59:52.913218Z digest=sha256:8eae2e827904b0914ea47b038119a8bc0eba757371cef2720404e85dcae1a748

Observation bcc3c7c2-438e-4f10-ac5a-1e85689c4cba · outbound

This paper cites Fog Simulation on Real LiDAR Point Clouds for 3D Object Detection in Adverse Weather.

Multi-Sensor Alignment for Weather Simulations Fog Simulation on Real LiDAR Point Clouds for 3D Object Detection in Adverse Weather

Reference 2021

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Pith citing papers

No inbound Pith citation observations are available.