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Paper Citation Record · LEDGER

RadarSplat: Radar Gaussian Splatting for High-Fidelity Data Synthesis and 3D Reconstruction of Autonomous Driving Scenes

As of 18 August 2026, this Paper Citation Record lists 67 of 67 outbound references and 2 inbound Pith citation observations for arXiv:2506.01379.

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

pith.paper-citation-record.v1
2506.01379 v1

Coverage vector

measured 67 of 67 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:52:53.563569Z

measured 69 of 69 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-14T13:50:38.084701Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-10T13:20:25.578771Z

Reference resolution

67 of 67 outbound references displayed

  • verified exact4
  • verified fuzzy41
  • unresolved22
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a9361b00-7bf2-4168-91a8-73763b87a5d5 · outbound

This paper cites an unresolved cited work.

RadarSplat: Radar Gaussian Splatting for High-Fidelity Data Synthesis and 3D Reconstruction of Autonomous Driving Scenes Unresolved cited work

Reference 1

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unresolved
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 8ea40e11-8d3b-4c5b-ac8f-4cb07d45c8af · outbound

This paper cites Raysar- 3d sar simulator: Now open source.

RadarSplat: Radar Gaussian Splatting for High-Fidelity Data Synthesis and 3D Reconstruction of Autonomous Driving Scenes Raysar- 3d sar simulator: Now open source

Reference 2

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 0df60707-4e87-4263-b287-2672ca31e522 · outbound

This paper cites The oxford radar robotcar dataset: A radar extension to the oxford robotcar dataset.

RadarSplat: Radar Gaussian Splatting for High-Fidelity Data Synthesis and 3D Reconstruction of Autonomous Driving Scenes The oxford radar robotcar dataset: A radar extension to the oxford robotcar dataset

Reference 3

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 2748308f-375a-4afd-afa0-6c1dbf2edeaa · outbound

This paper cites Environmental Research Laboratories, 1973.

RadarSplat: Radar Gaussian Splatting for High-Fidelity Data Synthesis and 3D Reconstruction of Autonomous Driving Scenes Environmental Research Laboratories, 1973

Reference 4

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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 2026-08-18T06:34:40.430872+00:00.

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Observation ccd9a5b0-d2b5-45a0-9d99-ad11dd09c435 · outbound

This paper cites Artech House, 2013.

RadarSplat: Radar Gaussian Splatting for High-Fidelity Data Synthesis and 3D Reconstruction of Autonomous Driving Scenes Artech House, 2013

Reference 5

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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 2026-08-18T06:34:40.430872+00:00.

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Observation 48ff6f36-5400-444b-839c-3aa58766d7df · outbound

This paper cites Radar fields: Frequency-space neural scene representa- tions for fmcw radar.

RadarSplat: Radar Gaussian Splatting for High-Fidelity Data Synthesis and 3D Reconstruction of Autonomous Driving Scenes Radar fields: Frequency-space neural scene representa- tions for fmcw radar

Reference 6

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 1d5de106-1e8b-4a1a-89f2-a43336bdae9f · outbound

This paper cites Are we ready for radar to replace lidar in all-weather mapping and localization?IEEE Robotics and Automation Letters, 7(4):10328–10335, 2022.

RadarSplat: Radar Gaussian Splatting for High-Fidelity Data Synthesis and 3D Reconstruction of Autonomous Driving Scenes Are we ready for radar to replace lidar in all-weather mapping and localization?IEEE Robotics and Automation Letters, 7(4):10328–10335, 2022

Reference 7

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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 2026-08-18T06:34:40.430872+00:00.

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Observation 48b59ae0-5648-4b74-93a5-45f81f5f3f41 · outbound

This paper cites Boreas: A multi-season autonomous driving dataset.The International Journal of Robotics Research, 42(1-2):33–42, 2023.

RadarSplat: Radar Gaussian Splatting for High-Fidelity Data Synthesis and 3D Reconstruction of Autonomous Driving Scenes Boreas: A multi-season autonomous driving dataset.The International Journal of Robotics Research, 42(1-2):33–42, 2023

Reference 8

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T11:52:49.022210Z digest=sha256:cc270a1fa9c6389e1f0474b5850227a939c2f1286be0f28348e09542c10ff3ae

Observation 338ede79-aa78-4bb9-8181-6f8493e9bc6d · outbound

This paper cites Cloner: Camera-lidar fu- sion for occupancy grid-aided neural representations.IEEE Robotics and Automation Letters, 8(5):2812–2819, 2023.

RadarSplat: Radar Gaussian Splatting for High-Fidelity Data Synthesis and 3D Reconstruction of Autonomous Driving Scenes Cloner: Camera-lidar fu- sion for occupancy grid-aided neural representations.IEEE Robotics and Automation Letters, 8(5):2812–2819, 2023

Reference 9

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation bb29a408-7b83-47f0-a874-7e001bc2addf · outbound

This paper cites Lidar-gs: Real-time lidar re-simulation us- ing gaussian splatting.arXiv preprint arXiv:2410.05111,.

RadarSplat: Radar Gaussian Splatting for High-Fidelity Data Synthesis and 3D Reconstruction of Autonomous Driving Scenes Lidar-gs: Real-time lidar re-simulation us- ing gaussian splatting.arXiv preprint arXiv:2410.05111,

Reference 10

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no resolver link, observed 2026-08-07T11:52:49.208287Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:52:49.208287Z digest=sha256:c23ffdfe97815de6fb95dc09a4f5018baa2dc35f42bf55d6a10c1578a92ef85d

Observation 8770e229-6ced-4b34-b678-3133965b108b · outbound

This paper cites Periodic Vibration Gaussian: Dynamic Urban Scene Reconstruction and Real-time Rendering.

RadarSplat: Radar Gaussian Splatting for High-Fidelity Data Synthesis and 3D Reconstruction of Autonomous Driving Scenes Periodic Vibration Gaussian: Dynamic Urban Scene Reconstruction and Real-time Rendering

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-07T11:52:49.298992Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:52:49.298992Z digest=sha256:f15bf3464d88b655bac3a5db9d0a17d5b2659a35f261f50b61ff6d49ea311d76

Observation 9be108ac-8267-492f-b0be-8cb3d4d44ebf · outbound

This paper cites A ray tracing formulation and its application to some problems in over-the-horizon radar.Radio Science, 33 (4):1187–1197, 1998.

RadarSplat: Radar Gaussian Splatting for High-Fidelity Data Synthesis and 3D Reconstruction of Autonomous Driving Scenes A ray tracing formulation and its application to some problems in over-the-horizon radar.Radio Science, 33 (4):1187–1197, 1998

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:52:54.955826Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T11:52:49.398895Z digest=sha256:689996ee9bd084874dc9752e3b9f58d0ff8a4e0756f7fcf2bfd66683b87fe1ec

Observation 1c5ad87f-fff5-42d9-a5f1-df6e5594cfcd · outbound

This paper cites LetsGo: Large-Scale Garage Modeling and Rendering via LiDAR-Assisted Gaussian Primitives.

RadarSplat: Radar Gaussian Splatting for High-Fidelity Data Synthesis and 3D Reconstruction of Autonomous Driving Scenes LetsGo: Large-Scale Garage Modeling and Rendering via LiDAR-Assisted Gaussian Primitives

Reference 13

Resolution
unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:52:49.504152Z digest=sha256:11f8efa26b8e00b71df299c0114e1ba4b5d14bc0607ef5501d4b1368178ae6a7

Observation cce0ed0e-9698-418d-bc9b-fa8535e3ccb5 · outbound

This paper cites Isar-nerf: Neural radiance fields for 3-d imaging of space target from multiview isar images.IEEE Sensors Journal, 24(7):11705–11722, 2024.

RadarSplat: Radar Gaussian Splatting for High-Fidelity Data Synthesis and 3D Reconstruction of Autonomous Driving Scenes Isar-nerf: Neural radiance fields for 3-d imaging of space target from multiview isar images.IEEE Sensors Journal, 24(7):11705–11722, 2024

Reference 14

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation d12180e1-f1b7-434f-a768-26d30517f5bd · outbound

This paper cites Yaw aided radar inertial odometry using manhattan world assumptions.

RadarSplat: Radar Gaussian Splatting for High-Fidelity Data Synthesis and 3D Reconstruction of Autonomous Driving Scenes Yaw aided radar inertial odometry using manhattan world assumptions

Reference 15

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 06c5d555-9c46-4e00-b49e-87a66e0782b7 · outbound

This paper cites Radar fields: An extension of radiance fields to sar.

RadarSplat: Radar Gaussian Splatting for High-Fidelity Data Synthesis and 3D Reconstruction of Autonomous Driving Scenes Radar fields: An extension of radiance fields to sar

Reference 16

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation aff38c28-7668-4a8d-9a36-87e03f33eaff · outbound

This paper cites Simple-bev: What really mat- ters for multi-sensor bev perception? In2023 IEEE Inter- national Conference on Robotics and Automation (ICRA), pages 2759–2765.

RadarSplat: Radar Gaussian Splatting for High-Fidelity Data Synthesis and 3D Reconstruction of Autonomous Driving Scenes Simple-bev: What really mat- ters for multi-sensor bev perception? In2023 IEEE Inter- national Conference on Robotics and Automation (ICRA), pages 2759–2765

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:52:54.867223Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 008694d4-5f84-4014-bd88-a2c7ec4cf753 · outbound

This paper cites A new wave in robotics: Sur- vey on recent mmwave radar applications in robotics.IEEE Transactions on Robotics, 2024.

RadarSplat: Radar Gaussian Splatting for High-Fidelity Data Synthesis and 3D Reconstruction of Autonomous Driving Scenes A new wave in robotics: Sur- vey on recent mmwave radar applications in robotics.IEEE Transactions on Robotics, 2024

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:52:54.851131Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T11:52:49.988962Z digest=sha256:dca93420f5f79294372cc36ac6207cc0167260ffeebbd69f43b45f274b69fe22

Observation 03ce08df-5b0f-42c1-bd11-c13146a35dc8 · outbound

This paper cites A ray launching approach for modeling an fmcw radar system.

RadarSplat: Radar Gaussian Splatting for High-Fidelity Data Synthesis and 3D Reconstruction of Autonomous Driving Scenes A ray launching approach for modeling an fmcw radar system

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:52:54.834773Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T11:52:50.159394Z digest=sha256:a1d2f91cc32be596e256fd91844fa982e0cf69e74142141ba2a6c3882fc62813

Observation a038221a-0a38-42a8-8593-3b6ac2743a98 · outbound

This paper cites Liv-gaussmap: Lidar-inertial-visual fusion for real-time 3d radiance field map rendering.IEEE Robotics and Automation Letters, 2024.

RadarSplat: Radar Gaussian Splatting for High-Fidelity Data Synthesis and 3D Reconstruction of Autonomous Driving Scenes Liv-gaussmap: Lidar-inertial-visual fusion for real-time 3d radiance field map rendering.IEEE Robotics and Automation Letters, 2024

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:52:54.817521Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T11:52:50.290155Z digest=sha256:bab4895a35e72bebbdfb254ac6ece194b9fa660b621b6d61fea7077f7ddd4f9b

Observation 2f7a7b68-71cf-4737-9ad3-7657e4e564d7 · outbound

This paper cites Radar SLAM: A Robust SLAM System for All Weather Conditions.

RadarSplat: Radar Gaussian Splatting for High-Fidelity Data Synthesis and 3D Reconstruction of Autonomous Driving Scenes Radar SLAM: A Robust SLAM System for All Weather Conditions

Reference 21

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verified exact
local_arxiv, observed 2026-08-07T11:52:53.966347Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T11:52:50.372408Z digest=sha256:4f1d223eeed15766aa4db4a452854378989559fdf2c2a40c63d4db4f66622af2

Observation bb5e0cd1-51d5-43d4-af97-0f56d408d7b0 · outbound

This paper cites Neural lidar fields for novel view synthesis.

RadarSplat: Radar Gaussian Splatting for High-Fidelity Data Synthesis and 3D Reconstruction of Autonomous Driving Scenes Neural lidar fields for novel view synthesis

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:52:54.800015Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T11:52:50.469125Z digest=sha256:51e225a46d1d5f998954f0d10a19510e622c9d7277b4c43a3f8494974a0814d5

Observation 855dc32e-257e-4af5-8757-600531da83ae · outbound

This paper cites Dart: Im- plicit doppler tomography for radar novel view synthesis.

RadarSplat: Radar Gaussian Splatting for High-Fidelity Data Synthesis and 3D Reconstruction of Autonomous Driving Scenes Dart: Im- plicit doppler tomography for radar novel view synthesis

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-07T11:52:50.565661Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:52:50.565661Z digest=sha256:4bf8e4172714e2b0d5b2e9703562e098f1c2fddab7dcd6839475ae0894b45463

Observation 8729e1ba-437d-46f1-85ba-2d76824c3001 · outbound

This paper cites Cramnet: Camera-radar fusion with ray-constrained cross-attention for robust 3d object detec- tion.

RadarSplat: Radar Gaussian Splatting for High-Fidelity Data Synthesis and 3D Reconstruction of Autonomous Driving Scenes Cramnet: Camera-radar fusion with ray-constrained cross-attention for robust 3d object detec- tion

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:52:54.773041Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T11:52:50.679186Z digest=sha256:58e437d5ef905e2b502b63ccb06ac09e451e4c4ff2903f13539522dee02ae5f5

Observation 9d0343e8-274f-4596-a4f5-e2c075fa4e5f · outbound

This paper cites Loner: Lidar only neu- ral representations for real-time slam.IEEE Robotics and Automation Letters, 2023.

RadarSplat: Radar Gaussian Splatting for High-Fidelity Data Synthesis and 3D Reconstruction of Autonomous Driving Scenes Loner: Lidar only neu- ral representations for real-time slam.IEEE Robotics and Automation Letters, 2023

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:52:54.752315Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T11:52:50.814271Z digest=sha256:a7847be9062f09b879828a3741b311f3f27839416dc3c848d99cad33b54e7c91

Observation 6f9a38c7-6cbb-4c38-aad7-e8233504271e · outbound

This paper cites LI-GS: Gaussian Splatting with LiDAR Incorporated for Accurate Large-Scale Reconstruction.

RadarSplat: Radar Gaussian Splatting for High-Fidelity Data Synthesis and 3D Reconstruction of Autonomous Driving Scenes LI-GS: Gaussian Splatting with LiDAR Incorporated for Accurate Large-Scale Reconstruction

Reference 26

Resolution
verified exact
local_arxiv, observed 2026-08-07T11:52:53.928073Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T11:52:50.958999Z digest=sha256:d4901b1119e9783a0cbf325c1413e8091cfbc9175e828b7a93dfff7a8da11abc

Observation 9dcee15d-b2bb-4aab-a7d8-e75bfc074c59 · outbound

This paper cites 3d gaussian splatting for real-time radiance field rendering.ACM Trans.

RadarSplat: Radar Gaussian Splatting for High-Fidelity Data Synthesis and 3D Reconstruction of Autonomous Driving Scenes 3d gaussian splatting for real-time radiance field rendering.ACM Trans

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-07T11:52:51.067380Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:52:51.067380Z digest=sha256:5984b9de0f868c0048d1874e4fd651e60a2dbeee60343bbdb80e1762f79e0d85

Observation d8647759-f5bd-4eb2-b1bb-c4fb80fa7a9d · outbound

This paper cites AutoSplat: Constrained Gaussian Splatting for Autonomous Driving Scene Reconstruction.

RadarSplat: Radar Gaussian Splatting for High-Fidelity Data Synthesis and 3D Reconstruction of Autonomous Driving Scenes AutoSplat: Constrained Gaussian Splatting for Autonomous Driving Scene Reconstruction

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-07T11:52:51.105000Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:52:51.105000Z digest=sha256:5998a27c1d1c2b30b9aeeca35c2fa49074c61c6d4c64ba8e92285b08f916d7f3

Observation 88b473ef-43b7-4adb-a3de-78869a38311d · outbound

This paper cites Mulran: Multimodal range dataset for urban place recognition.

RadarSplat: Radar Gaussian Splatting for High-Fidelity Data Synthesis and 3D Reconstruction of Autonomous Driving Scenes Mulran: Multimodal range dataset for urban place recognition

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:52:54.721856Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T11:52:51.157143Z digest=sha256:78da76a1718f4a521568e3ae72ca462650a6b73970464e9dd4b366acad1b1add

Observation a3215d04-5355-4094-95c6-018aab951652 · outbound

This paper cites HeRCULES: Heterogeneous Radar Dataset in Complex Urban Environment for Multi-session Radar SLAM.

RadarSplat: Radar Gaussian Splatting for High-Fidelity Data Synthesis and 3D Reconstruction of Autonomous Driving Scenes HeRCULES: Heterogeneous Radar Dataset in Complex Urban Environment for Multi-session Radar SLAM

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-07T11:52:51.212178Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:52:51.212178Z digest=sha256:b5399cd4ea993ee3a439bf7c0033c122fde8040ed3abd06104052b8c4e61dba5

Observation 4e8c089a-0056-4a97-a437-e0cb75346cd3 · outbound

This paper cites A normal distribution transform-based radar odometry de- signed for scanning and automotive radars.

RadarSplat: Radar Gaussian Splatting for High-Fidelity Data Synthesis and 3D Reconstruction of Autonomous Driving Scenes A normal distribution transform-based radar odometry de- signed for scanning and automotive radars

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:52:54.704050Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T11:52:51.326329Z digest=sha256:2313a7e1d98a4858300feccaeaa22c74db0dd1446f5dba1f66078e2a32f0e24f

Observation 881c7b46-40cf-4242-ae00-4b99f8c190f3 · outbound

This paper cites Radar occupancy prediction with lidar supervision while preserving long-range sensing and penetrating capabilities.

RadarSplat: Radar Gaussian Splatting for High-Fidelity Data Synthesis and 3D Reconstruction of Autonomous Driving Scenes Radar occupancy prediction with lidar supervision while preserving long-range sensing and penetrating capabilities

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:52:54.686660Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T11:52:51.505109Z digest=sha256:d3527f337aa3331d3d245ee6b25e13722d014190a53b226b39a9b53b6a17f07f

Observation 487d200d-f07f-4bf7-b715-607c930cba81 · outbound

This paper cites Sad-gs: Shape-aligned depth- supervised gaussian splatting.

RadarSplat: Radar Gaussian Splatting for High-Fidelity Data Synthesis and 3D Reconstruction of Autonomous Driving Scenes Sad-gs: Shape-aligned depth- supervised gaussian splatting

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:52:54.670909Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T11:52:51.630835Z digest=sha256:eba27be82725fe79c26d9819f88344ce040d8253456d533e47a44f6479d3de3f

Observation 6671c660-90f0-46c4-a16b-192774ac5ec8 · outbound

This paper cites Lihi-gs: Lidar-supervised gaussian splat- ting for highway driving scene reconstruction.arXiv preprint arXiv:2412.15447, 2024.

RadarSplat: Radar Gaussian Splatting for High-Fidelity Data Synthesis and 3D Reconstruction of Autonomous Driving Scenes Lihi-gs: Lidar-supervised gaussian splat- ting for highway driving scene reconstruction.arXiv preprint arXiv:2412.15447, 2024

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-07T11:52:51.858588Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:52:51.858588Z digest=sha256:9f07c031fd867a132099a96c83ec7a5427e7035157cbed38b354dbd7886d1f1b

Observation 01086073-6bad-4b5f-9c6f-bbb59a2d2de9 · outbound

This paper cites Sar-nerf: Neural radiance fields for synthetic aperture radar multi-view representation.IEEE Transactions on Geoscience and Remote Sensing, 2024.

RadarSplat: Radar Gaussian Splatting for High-Fidelity Data Synthesis and 3D Reconstruction of Autonomous Driving Scenes Sar-nerf: Neural radiance fields for synthetic aperture radar multi-view representation.IEEE Transactions on Geoscience and Remote Sensing, 2024

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-07T11:52:51.871708Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:52:51.871708Z digest=sha256:5f25db71f1f1f98434da836dc6e6add97b4fa028a9c57daef5b38b42e4dfc4b9

Observation 1712c3f6-a023-4545-bd74-4228d88a2f2a · outbound

This paper cites Ranerf: Neural 3-d reconstruction of space tar- gets from isar image sequences.IEEE Transactions on Geo- science and Remote Sensing, 61:1–15, 2023.

RadarSplat: Radar Gaussian Splatting for High-Fidelity Data Synthesis and 3D Reconstruction of Autonomous Driving Scenes Ranerf: Neural 3-d reconstruction of space tar- gets from isar image sequences.IEEE Transactions on Geo- science and Remote Sensing, 61:1–15, 2023

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:52:54.643386Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T11:52:51.877463Z digest=sha256:b5a54c421c5da04427c6dc858ac8797a41029a73b1d53c4056ca37b05729a81a

Observation 02db9f9c-5be2-4a65-8e36-334b77551f01 · outbound

This paper cites Nerf: Representing scenes as neural radiance fields for view syn- thesis.Communications of the ACM, 65(1):99–106, 2021.

RadarSplat: Radar Gaussian Splatting for High-Fidelity Data Synthesis and 3D Reconstruction of Autonomous Driving Scenes Nerf: Representing scenes as neural radiance fields for view syn- thesis.Communications of the ACM, 65(1):99–106, 2021

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-07T11:52:51.888363Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:52:51.888363Z digest=sha256:409891da0c4b5ace7ad8627c0fc9619f082b6edcb12894c146842b11349beeea

Observation 89477422-8e7d-43ab-9b9d-b8854899b099 · outbound

This paper cites Neural scene graphs for dynamic scenes.

RadarSplat: Radar Gaussian Splatting for High-Fidelity Data Synthesis and 3D Reconstruction of Autonomous Driving Scenes Neural scene graphs for dynamic scenes

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-07T11:52:51.898548Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:52:51.898548Z digest=sha256:cc736924b601ad15da73ee3a464177137c47302c819b82c27099ce014f327ddd

Observation 1023f4ac-1c70-4102-9b56-5ec8d8d271c7 · outbound

This paper cites K-radar: 4d radar object detection for autonomous driving in various weather conditions.Advances in Neural Information Processing Systems, 35:3819–3829, 2022.

RadarSplat: Radar Gaussian Splatting for High-Fidelity Data Synthesis and 3D Reconstruction of Autonomous Driving Scenes K-radar: 4d radar object detection for autonomous driving in various weather conditions.Advances in Neural Information Processing Systems, 35:3819–3829, 2022

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-07T11:52:51.963904Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:52:51.963904Z digest=sha256:c94d7654989162d58eb056c5f40bed77679e39ecc45041d80c37a232106796ab

Observation b116997e-4bb9-4723-957d-b7c48e91fb6b · outbound

This paper cites Transloc4d: Transformer-based 4d radar place recognition.

RadarSplat: Radar Gaussian Splatting for High-Fidelity Data Synthesis and 3D Reconstruction of Autonomous Driving Scenes Transloc4d: Transformer-based 4d radar place recognition

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:52:54.589516Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T11:52:52.062654Z digest=sha256:7b6a9a37dc5b48e432b1bd7c8da960c028be6a3f6a27b12814a3541a01e79e5f

Observation 8cbe2640-4c44-4720-9029-455710d1885e · outbound

This paper cites Neural implicit surface reconstruction using imaging sonar.

RadarSplat: Radar Gaussian Splatting for High-Fidelity Data Synthesis and 3D Reconstruction of Autonomous Driving Scenes Neural implicit surface reconstruction using imaging sonar

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:52:54.573632Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T11:52:52.135071Z digest=sha256:8f8d69c1746a17270d8a2073746939b8140db41571014cbffc93a1ec184c377b

Observation 67ca8227-69b5-41d2-a3ee-0418e1094204 · outbound

This paper cites Z-splat: Z-axis gaussian splatting for camera-sonar fusion.IEEE Transactions on Pat- tern Analysis and Machine Intelligence, 2024.

RadarSplat: Radar Gaussian Splatting for High-Fidelity Data Synthesis and 3D Reconstruction of Autonomous Driving Scenes Z-splat: Z-axis gaussian splatting for camera-sonar fusion.IEEE Transactions on Pat- tern Analysis and Machine Intelligence, 2024

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:52:54.558301Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T11:52:52.198649Z digest=sha256:14db920bb637a2ad214d20f3a02dcb6d1908069abc844eed46bd3bb5c28de803

Observation 0a6ce4dc-19e4-4364-ab2d-e5239d701875 · outbound

This paper cites Neural vol- umetric reconstruction for coherent synthetic aperture sonar.

RadarSplat: Radar Gaussian Splatting for High-Fidelity Data Synthesis and 3D Reconstruction of Autonomous Driving Scenes Neural vol- umetric reconstruction for coherent synthetic aperture sonar

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:52:54.540049Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T11:52:52.281463Z digest=sha256:6cec97de97499ff779916571135b910facd21412ff4dc1ffac2fee4520fe92fd

Observation 92961edf-33ce-41b9-8d44-cdf2cc40326c · outbound

This paper cites Urban radiance fields.

RadarSplat: Radar Gaussian Splatting for High-Fidelity Data Synthesis and 3D Reconstruction of Autonomous Driving Scenes Urban radiance fields

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-07T11:52:52.350400Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:52:52.350400Z digest=sha256:1674455811e081f00c2647fb85bb4dff4c64916ae8975d284a9c2d0586de5721

Observation 7df11ea4-2b20-4dad-96d9-df3b6c438d7a · outbound

This paper cites Radar cfar thresholding in clutter and multiple target situations.IEEE transactions on aerospace and electronic systems, (4):608–621, 1983.

RadarSplat: Radar Gaussian Splatting for High-Fidelity Data Synthesis and 3D Reconstruction of Autonomous Driving Scenes Radar cfar thresholding in clutter and multiple target situations.IEEE transactions on aerospace and electronic systems, (4):608–621, 1983

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:52:54.508063Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T11:52:52.417853Z digest=sha256:c4a3e8a3224268e5e58f1f0c761aeb3677da53d8c390cd183147e20af587c8b6

Observation 18ec1851-59f7-452c-928c-28fd2be023e0 · outbound

This paper cites Sonarsplat: Novel view synthesis of imaging sonar via gaussian splatting.arXiv preprint arXiv:2504.00159, 2025.

RadarSplat: Radar Gaussian Splatting for High-Fidelity Data Synthesis and 3D Reconstruction of Autonomous Driving Scenes Sonarsplat: Novel view synthesis of imaging sonar via gaussian splatting.arXiv preprint arXiv:2504.00159, 2025

Reference 46

Resolution
verified exact
raw_fallback, observed 2026-08-07T11:52:53.787966Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T11:52:52.423098Z digest=sha256:9e86eedfc70f4d9bd56ef9daa252e59f296e4156089da5c5b6b4e4397c716b6b

Observation 769c9ca6-b6e2-407e-8a3c-0883925e0c7c · outbound

This paper cites Radiate: A radar dataset for automotive perception in bad weather.

RadarSplat: Radar Gaussian Splatting for High-Fidelity Data Synthesis and 3D Reconstruction of Autonomous Driving Scenes Radiate: A radar dataset for automotive perception in bad weather

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:52:54.488967Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T11:52:52.429322Z digest=sha256:277acdb5b17abb8e26253197f6a3fa4e68042195df3b2caef460cb9d54510421

Observation 960b5fd8-d807-4cfe-8c4b-51a33e4cf3bc · outbound

This paper cites Li- rafusion: Deep adaptive lidar-radar fusion for 3d object de- tection.

RadarSplat: Radar Gaussian Splatting for High-Fidelity Data Synthesis and 3D Reconstruction of Autonomous Driving Scenes Li- rafusion: Deep adaptive lidar-radar fusion for 3d object de- tection

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:52:54.469003Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T11:52:52.491632Z digest=sha256:bfa22b541439f2db6e0c618ecf76e647c7209cd3e7e2992fd30dba6aef0426d1

Observation bd4ca0d1-4700-461a-9fa8-889d26d49736 · outbound

This paper cites Lidar-nerf: Novel li- dar view synthesis via neural radiance fields.

RadarSplat: Radar Gaussian Splatting for High-Fidelity Data Synthesis and 3D Reconstruction of Autonomous Driving Scenes Lidar-nerf: Novel li- dar view synthesis via neural radiance fields

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:52:54.452166Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T11:52:52.583712Z digest=sha256:01290e0048eb58f793d83a353edb8c63d23d1dc9a93cd162a6d57fda2365a05f

Observation b36429e8-f6ef-4bc1-a27d-76bd7da74525 · outbound

This paper cites Neurad: Neural rendering for autonomous driving.

RadarSplat: Radar Gaussian Splatting for High-Fidelity Data Synthesis and 3D Reconstruction of Autonomous Driving Scenes Neurad: Neural rendering for autonomous driving

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:52:54.436222Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T11:52:52.685312Z digest=sha256:476cf4c745ab608f8a3631ffc3e88be0ea42035e015d3bacb9ec01a10750e4cb

Observation 479338b3-762d-4fe3-a7f7-fd53684e7b3f · outbound

This paper cites Bi-lrfusion: Bi-directional lidar-radar fusion for 3d dynamic object detection.

RadarSplat: Radar Gaussian Splatting for High-Fidelity Data Synthesis and 3D Reconstruction of Autonomous Driving Scenes Bi-lrfusion: Bi-directional lidar-radar fusion for 3d dynamic object detection

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:52:54.417378Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T11:52:52.781515Z digest=sha256:6c0723d5188f7d2f8a661b3a10f7dc3fda4ee1d6ff1177a162550eddc3b47fbe

Observation 974d62c0-f18e-4f65-8536-7c919d786786 · outbound

This paper cites High-Dynamic Radar Sequence Prediction for Weather Nowcasting Using Spatiotemporal Coherent Gaussian Representation.

RadarSplat: Radar Gaussian Splatting for High-Fidelity Data Synthesis and 3D Reconstruction of Autonomous Driving Scenes High-Dynamic Radar Sequence Prediction for Weather Nowcasting Using Spatiotemporal Coherent Gaussian Representation

Reference 52

Resolution
verified exact
local_arxiv, observed 2026-08-07T11:52:53.694262Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T11:52:52.877361Z digest=sha256:5dfbef1b700aefa7ace7eb5fb98ee5157ba586ea125ccccd7c871d6c0a1ede55

Observation fc9d9582-489e-4d4f-b1d2-6c96f40f220a · outbound

This paper cites Dynamic lidar re- simulation using compositional neural fields.

RadarSplat: Radar Gaussian Splatting for High-Fidelity Data Synthesis and 3D Reconstruction of Autonomous Driving Scenes Dynamic lidar re- simulation using compositional neural fields

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-07T11:52:52.945435Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:52:52.945435Z digest=sha256:50ee6eb7046c5b1c0f964ff2e6b0ddb1bda6e74dc50d26d3e9a0b469df2cdd6a

Observation 840691ff-69df-4372-b5e5-e010920471f2 · outbound

This paper cites Mars: An instance-aware, mod- ular and realistic simulator for autonomous driving.

RadarSplat: Radar Gaussian Splatting for High-Fidelity Data Synthesis and 3D Reconstruction of Autonomous Driving Scenes Mars: An instance-aware, mod- ular and realistic simulator for autonomous driving

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-07T11:52:52.965193Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:52:52.965193Z digest=sha256:37ede4c52f71fbf1516e0b2da168864518329e652dd3432f9c7437bdcbce4ffb

Observation 4623b4c1-c632-4020-be58-84e4acf6cbec · outbound

This paper cites DepthSplat: Connecting Gaussian Splatting and Depth.

RadarSplat: Radar Gaussian Splatting for High-Fidelity Data Synthesis and 3D Reconstruction of Autonomous Driving Scenes DepthSplat: Connecting Gaussian Splatting and Depth

Reference 55

Resolution
unresolved
no resolver link, observed 2026-08-07T11:52:52.970351Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:52:52.970351Z digest=sha256:882fe51cf8122faeceb198c0c0d9707a9c0e610365904b9068182056f088587a

Observation 329a5f2d-f869-48a3-8b82-6bff52eb5685 · outbound

This paper cites Street Gaussians: Modeling Dynamic Urban Scenes with Gaussian Splatting.

RadarSplat: Radar Gaussian Splatting for High-Fidelity Data Synthesis and 3D Reconstruction of Autonomous Driving Scenes Street Gaussians: Modeling Dynamic Urban Scenes with Gaussian Splatting

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-07T11:52:52.986487Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:52:52.986487Z digest=sha256:2cc18616bb4bca916af604dde743b8c746cb41025676fc5055cea9d170766c2e

Observation 5e5fdc16-1006-4c1a-a096-655b326c4df5 · outbound

This paper cites EmerNeRF: Emergent Spatial-Temporal Scene Decomposition via Self-Supervision.

RadarSplat: Radar Gaussian Splatting for High-Fidelity Data Synthesis and 3D Reconstruction of Autonomous Driving Scenes EmerNeRF: Emergent Spatial-Temporal Scene Decomposition via Self-Supervision

Reference 57

Resolution
unresolved
no resolver link, observed 2026-08-07T11:52:53.052878Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:52:53.052878Z digest=sha256:7fb400226fff50c092e67488534e91ed8d3634c8ede700106a10ac27c14c22c7

Observation ca4cfdb7-2837-4519-a3f9-8e219a785a63 · outbound

This paper cites Unisim: A neural closed-loop sensor simulator.

RadarSplat: Radar Gaussian Splatting for High-Fidelity Data Synthesis and 3D Reconstruction of Autonomous Driving Scenes Unisim: A neural closed-loop sensor simulator

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:52:54.371561Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T11:52:53.141174Z digest=sha256:78c6aaf63467afa1e09e767f98c44527f67dfea01021ece38b2fcb5327cdc23d

Observation f8b9e391-7961-4278-b20d-cbafe496d377 · outbound

This paper cites TCLC-GS: Tightly Coupled LiDAR-Camera Gaussian Splatting for Autonomous Driving.

RadarSplat: Radar Gaussian Splatting for High-Fidelity Data Synthesis and 3D Reconstruction of Autonomous Driving Scenes TCLC-GS: Tightly Coupled LiDAR-Camera Gaussian Splatting for Autonomous Driving

Reference 59

Resolution
unresolved
no resolver link, observed 2026-08-07T11:52:53.215711Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:52:53.215711Z digest=sha256:3730a7ec0ebae5de4d9cb12010b2afe466a46f97bc931b02e30a3af4849f633b

Observation 046107dc-84e6-415a-b1fd-5e32b6ca44e0 · outbound

This paper cites Crkd: Enhanced camera-radar object detection with cross-modality knowledge distillation.

RadarSplat: Radar Gaussian Splatting for High-Fidelity Data Synthesis and 3D Reconstruction of Autonomous Driving Scenes Crkd: Enhanced camera-radar object detection with cross-modality knowledge distillation

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:52:54.354866Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T11:52:53.310801Z digest=sha256:43960ec4ae7e7d0cf6bb2a0e1e2ce94fc2403359fba00a0e622d355ce45cb971

Observation 8068a770-8ef5-481d-9ece-a153eb545d00 · outbound

This paper cites Lidar4d: Dynamic neural fields for novel space-time view lidar synthesis.

RadarSplat: Radar Gaussian Splatting for High-Fidelity Data Synthesis and 3D Reconstruction of Autonomous Driving Scenes Lidar4d: Dynamic neural fields for novel space-time view lidar synthesis

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:52:54.337876Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T11:52:53.413124Z digest=sha256:3b1af591de81c9eeaa94b99dab603b53f1e28875866df83dfb2d6a5026a551c9

Observation e3fb641d-61f2-4fea-86a1-78dfba516446 · outbound

This paper cites Drivinggaussian: Composite gaussian splatting for surrounding dynamic au- tonomous driving scenes.

RadarSplat: Radar Gaussian Splatting for High-Fidelity Data Synthesis and 3D Reconstruction of Autonomous Driving Scenes Drivinggaussian: Composite gaussian splatting for surrounding dynamic au- tonomous driving scenes

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:52:54.320825Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T11:52:53.512241Z digest=sha256:943891514075c670ddb6a26f11bf51289d035818dcfd43edaf8f5a80acadfac4

Observation db4df76d-a5d9-4000-991b-db5cea459331 · outbound

This paper cites Frequency Modulated Continuous Wave (FMCW) Radar In FMCW radar systems, the transmitted signal is a lin- ear frequency-modulated chirp.

RadarSplat: Radar Gaussian Splatting for High-Fidelity Data Synthesis and 3D Reconstruction of Autonomous Driving Scenes Frequency Modulated Continuous Wave (FMCW) Radar In FMCW radar systems, the transmitted signal is a lin- ear frequency-modulated chirp

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:52:54.302282Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T11:52:53.537397Z digest=sha256:cc14d475b688271614ae9bd24c7d151cfa395a9169651a7b4f9ebce85b5c6a2a

Observation fca39a80-45d2-49ec-851e-99a07faa2988 · outbound

This paper cites Multipath and Saturation Noise Detection Figure 19 shows the range-power signal and FFT of mul- tipath, receiver saturation, and noise-free azimuth beams.

RadarSplat: Radar Gaussian Splatting for High-Fidelity Data Synthesis and 3D Reconstruction of Autonomous Driving Scenes Multipath and Saturation Noise Detection Figure 19 shows the range-power signal and FFT of mul- tipath, receiver saturation, and noise-free azimuth beams

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:52:54.283030Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T11:52:53.542399Z digest=sha256:9efa0d565658ea05604da433c2fa275e0004a8c5092d6cbf895f341b30ab823b

Observation 8d112d56-7c82-42f0-8949-92856af435e1 · outbound

This paper cites an unresolved cited work.

RadarSplat: Radar Gaussian Splatting for High-Fidelity Data Synthesis and 3D Reconstruction of Autonomous Driving Scenes Unresolved cited work

Reference 65

Resolution
unresolved
raw_fallback, observed 2026-08-07T11:52:54.262136Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T11:52:53.546943Z digest=sha256:173cc5b1756cc194ed5183b8ba88ed79b29cf7803574b5c32e6c5b16dd10fa01

Observation 9149ce28-744c-43dd-bf53-800936929d07 · outbound

This paper cites Scene Reconstruction Evaluation We construct a LiDAR pointcloud map to obtain ground- truth geometry for evaluation.

RadarSplat: Radar Gaussian Splatting for High-Fidelity Data Synthesis and 3D Reconstruction of Autonomous Driving Scenes Scene Reconstruction Evaluation We construct a LiDAR pointcloud map to obtain ground- truth geometry for evaluation

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:52:54.245660Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T11:52:53.551523Z digest=sha256:afa3aaafa5530a6f3c2244eac174d254fe49783811d892cf0e0fa432130f202b

Observation 3c0ec232-9662-4594-bca6-202a2de7d088 · outbound

This paper cites an unresolved cited work.

RadarSplat: Radar Gaussian Splatting for High-Fidelity Data Synthesis and 3D Reconstruction of Autonomous Driving Scenes Unresolved cited work

Reference 67

Resolution
unresolved
raw_fallback, observed 2026-08-07T11:52:54.223877Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T11:52:53.563569Z digest=sha256:3977593ffba7c329a45ec6e5f69bc311b12b919e73415bb14918c99d8e4059f1

Pith citing papers

Observation 21a8f71a-6fe3-4302-a4d5-11304f13794b · inbound

RadarSplat-RIO: Indoor Radar-Inertial Odometry with Gaussian Splatting-Based Radar Bundle Adjustment cites this paper.

RadarSplat-RIO: Indoor Radar-Inertial Odometry with Gaussian Splatting-Based Radar Bundle Adjustment RadarSplat: Radar Gaussian Splatting for High-Fidelity Data Synthesis and 3D Reconstruction of Autonomous Driving Scenes

Reference 22

Resolution
verified exact
arxiv_id, observed 2026-05-10T13:20:25.580549Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-10T13:18:24.066737Z digest=sha256:995681c519f4d358313165cbce6f8ddd7afa35fcb9540c0db33f1db60e6a40f3

Observation c18f7f48-5869-4294-97cf-8aaaaa01da1a · inbound

Millimeter Wave Radar: From Synthetic Aperture to Probabilistic Mapping cites this paper.

Millimeter Wave Radar: From Synthetic Aperture to Probabilistic Mapping RadarSplat: Radar Gaussian Splatting for High-Fidelity Data Synthesis and 3D Reconstruction of Autonomous Driving Scenes

Reference 18

Resolution
unresolved
no resolver link, observed 2026-07-14T13:50:38.084701Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T13:50:38.084701Z digest=sha256:396679eec8773e9c90973aad50d92a42159011a01e65ae77c7802959e1817f31