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Paper Citation Record · LEDGER

LiDAR-RT: Gaussian-based Ray Tracing for Dynamic LiDAR Re-simulation

As of 15 August 2026, this Paper Citation Record lists 66 of 66 outbound references and 1 inbound Pith citation observation for arXiv:2412.15199.

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

pith.paper-citation-record.v1
2412.15199 v1

Coverage vector

measured 66 of 66 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T11:36:21.303874Z

measured 67 of 67 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-19T02:37:56.469217Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-19T02:42:00.008378Z

Reference resolution

66 of 66 outbound references displayed

  • verified exact1
  • verified fuzzy50
  • unresolved14
  • parse uncertain1
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f5757991-718a-41a3-b32a-c95c4375ce10 · outbound

This paper cites Neural point-based graph- ics, 2020.

LiDAR-RT: Gaussian-based Ray Tracing for Dynamic LiDAR Re-simulation Neural point-based graph- ics, 2020

Reference 1

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verified fuzzy
raw_fallback, observed 2026-08-11T11:36:23.039590Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T11:36:20.909312Z digest=sha256:408f478ed9da21a168f0d72be919a4fb13db4772ca09c278caec9eff46b5856b

Observation e929d65c-97bc-4312-bda2-32dad8541863 · outbound

This paper cites HyperReel: High-fidelity 6-DoF video with ray- conditioned sampling.

LiDAR-RT: Gaussian-based Ray Tracing for Dynamic LiDAR Re-simulation HyperReel: High-fidelity 6-DoF video with ray- conditioned sampling

Reference 2

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raw_fallback, observed 2026-08-11T11:36:23.012053Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T11:36:20.918806Z digest=sha256:e021b1cf50483b8b8842e8372690775be990b16443c2b45fa92c92a9d0c58864

Observation 7866c6f6-c5bb-4af4-84af-c607c174501f · outbound

This paper cites Callahan, Aaron Lefohn, Jo ˜ao L.

LiDAR-RT: Gaussian-based Ray Tracing for Dynamic LiDAR Re-simulation Callahan, Aaron Lefohn, Jo ˜ao L

Reference 3

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verified fuzzy
raw_fallback, observed 2026-08-11T11:36:22.987076Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T11:36:20.926514Z digest=sha256:ba03482a2f81d046943022b020d10029c88e575645d1544f5fb337248d1e01ed

Observation 5cac83bf-c2ce-43b8-997e-cf3ed4779830 · outbound

This paper cites The lov ´asz-softmax loss: A tractable surrogate for the optimization of the intersection-over-union measure in neural networks.

LiDAR-RT: Gaussian-based Ray Tracing for Dynamic LiDAR Re-simulation The lov ´asz-softmax loss: A tractable surrogate for the optimization of the intersection-over-union measure in neural networks

Reference 4

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verified fuzzy
raw_fallback, observed 2026-08-11T11:36:22.968659Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T11:36:20.934656Z digest=sha256:b3fc145ba8dcf30cd2f6b65833a1f1d9e15934aa55b2cce8d3731fcb4de4d402

Observation 5e7eb18f-ad05-410e-b6ec-ee0ceb6a371b · outbound

This paper cites RayGauss: V olumetric gaussian-based ray casting for photo- realistic novel view synthesis, 2024.

LiDAR-RT: Gaussian-based Ray Tracing for Dynamic LiDAR Re-simulation RayGauss: V olumetric gaussian-based ray casting for photo- realistic novel view synthesis, 2024

Reference 5

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verified fuzzy
raw_fallback, observed 2026-08-11T11:36:22.946760Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T11:36:20.942119Z digest=sha256:65467244275310722a1aa673f590857038df2a5a42dcd3275d5cef0a0b9d4410

Observation 60c94452-57f8-4893-a921-52abd6b406e6 · outbound

This paper cites Deep generative modeling of LiDAR data, 2019.

LiDAR-RT: Gaussian-based Ray Tracing for Dynamic LiDAR Re-simulation Deep generative modeling of LiDAR data, 2019

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T11:36:22.917465Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T11:36:20.948943Z digest=sha256:38819ff2750fb473075f768c94051e996720ec140d52cf9003c82cd1c1876f82

Observation 0f1d2c4b-17e8-4908-8462-8c3a07d02478 · outbound

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

LiDAR-RT: Gaussian-based Ray Tracing for Dynamic LiDAR Re-simulation Periodic Vibration Gaussian: Dynamic Urban Scene Reconstruction and Real-time Rendering

Reference 7

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no resolver link, observed 2026-08-11T11:36:20.955044Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T11:36:20.955044Z digest=sha256:cea9bb5c2c5d92372f996df706ae17c8294e7f082783033649375b392550d783

Observation 44557a31-790a-468d-a3f1-01a29e9a8ed6 · outbound

This paper cites OmniRe: Omni Urban Scene Reconstruction.

LiDAR-RT: Gaussian-based Ray Tracing for Dynamic LiDAR Re-simulation OmniRe: Omni Urban Scene Reconstruction

Reference 8

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unresolved
no resolver link, observed 2026-08-11T11:36:20.962799Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T11:36:20.962799Z digest=sha256:6b4488f851967cbb4cb8dac5c7f6102172e1b45a286e2b53f5105bb1cdb430ab

Observation 08778727-3820-4f0c-90a4-b2ffde0e3e4c · outbound

This paper cites CARLA: An open urban driving simulator.

LiDAR-RT: Gaussian-based Ray Tracing for Dynamic LiDAR Re-simulation CARLA: An open urban driving simulator

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-11T11:36:20.970424Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T11:36:20.970424Z digest=sha256:9d2b8763d0dfd5ef8eebc6fac7ecf4f96ccf451d65fe096ab0641d215617bf46

Observation 9574b387-1703-46e5-a1ab-ce2cfa8d84f2 · outbound

This paper cites A point set generation network for 3D object reconstruction from a sin- gle image, 2016.

LiDAR-RT: Gaussian-based Ray Tracing for Dynamic LiDAR Re-simulation A point set generation network for 3D object reconstruction from a sin- gle image, 2016

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T11:36:22.874320Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T11:36:20.977394Z digest=sha256:fc6f0e63c0440c8edbf1e56c9c0bb406b0b640e9368a81281678bd69bd2aa7ce

Observation ff808b2c-ee9e-4f0a-a3d0-0a36e9bdf207 · outbound

This paper cites K-planes: Explicit radiance fields in space, time, and appearance.

LiDAR-RT: Gaussian-based Ray Tracing for Dynamic LiDAR Re-simulation K-planes: Explicit radiance fields in space, time, and appearance

Reference 11

Resolution
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no resolver link, observed 2026-08-11T11:36:20.982517Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T11:36:20.982517Z digest=sha256:d9a601ac3663faffdf95f8eafafef570785617f842549a6ec0598b0856ff54a4

Observation 48e52a9b-7cc4-4041-82a2-80bbe9f0f161 · outbound

This paper cites Relightable 3D Gaussians: Realistic Point Cloud Relighting with BRDF Decomposition and Ray Tracing.

LiDAR-RT: Gaussian-based Ray Tracing for Dynamic LiDAR Re-simulation Relightable 3D Gaussians: Realistic Point Cloud Relighting with BRDF Decomposition and Ray Tracing

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-11T11:36:20.988617Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T11:36:20.988617Z digest=sha256:7e1a194de81608775db288e506edf58ac2497a952b293bf0cff1454d6e8efc7c

Observation 1c2e2f7d-fb76-4b3a-8578-f0774ff81190 · outbound

This paper cites GPGPU processing in CUDA architec- ture.

LiDAR-RT: Gaussian-based Ray Tracing for Dynamic LiDAR Re-simulation GPGPU processing in CUDA architec- ture

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T11:36:22.830401Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T11:36:20.995117Z digest=sha256:465ea13efd6a5144760e46b10f9f8526626685d26a023e2e150113889cde3f74

Observation f92c0d3e-46d7-4d79-bd47-06b9e1aecc05 · outbound

This paper cites 2D gaussian splatting for geometrically ac- curate radiance fields.

LiDAR-RT: Gaussian-based Ray Tracing for Dynamic LiDAR Re-simulation 2D gaussian splatting for geometrically ac- curate radiance fields

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T11:36:22.809540Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T11:36:21.000734Z digest=sha256:b21131f7f909849aeeef9d7344f67b4cb6082ed5a4d94d38d744938a1f880931

Observation 430dfacb-4976-4f9f-8117-3bac9ce5f6a2 · outbound

This paper cites Neural LiDAR fields for novel view synthesis.

LiDAR-RT: Gaussian-based Ray Tracing for Dynamic LiDAR Re-simulation Neural LiDAR fields for novel view synthesis

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T11:36:22.789288Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T11:36:21.006396Z digest=sha256:64ee05285393a656b240778c3818567024bf1912b8fcd4493a60c2a0659987a5

Observation b5956140-98fd-4e96-9ccc-fcd27b3dfbc2 · outbound

This paper cites 3D gaussian splatting for real-time radiance field rendering.

LiDAR-RT: Gaussian-based Ray Tracing for Dynamic LiDAR Re-simulation 3D gaussian splatting for real-time radiance field rendering

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T11:36:22.769677Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T11:36:21.013143Z digest=sha256:ea1b416b32d935ba604de2f157b78733e9301afce6a7cb8bd6dc2bd3acc0f082

Observation fb6c570b-7334-46de-9b00-289e6d40e5a3 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

LiDAR-RT: Gaussian-based Ray Tracing for Dynamic LiDAR Re-simulation Adam: A Method for Stochastic Optimization

Reference 17

Resolution
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no resolver link, observed 2026-08-11T11:36:21.018832Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T11:36:21.018832Z digest=sha256:bd16d1edca30f1175082658716877c9bb085163620a113a48701124f72966802

Observation 8f5d1f63-a204-45aa-888b-8f82ab200034 · outbound

This paper cites Efficient particle volume splatting in a ray tracer.

LiDAR-RT: Gaussian-based Ray Tracing for Dynamic LiDAR Re-simulation Efficient particle volume splatting in a ray tracer

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T11:36:22.747248Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T11:36:21.025540Z digest=sha256:32ca6432d9c2a79684ff9d7c8dd58fe030b6e76dbb98a8fdf5b4428d22db7470

Observation b32f3f25-83ab-4fe4-945b-b906152bc2a9 · outbound

This paper cites PCGen: Point cloud generator for lidar simulation.

LiDAR-RT: Gaussian-based Ray Tracing for Dynamic LiDAR Re-simulation PCGen: Point cloud generator for lidar simulation

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T11:36:22.715392Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T11:36:21.030659Z digest=sha256:460ebb5f4693aab063dbe63a8b1837c2d99b35d103c3e0de506da32e9a6e3c0f

Observation e252d43f-65da-44c3-a4f7-5a1eb5080667 · outbound

This paper cites Kitti-360: A novel dataset and benchmarks for urban scene understanding in 2d and 3d.

LiDAR-RT: Gaussian-based Ray Tracing for Dynamic LiDAR Re-simulation Kitti-360: A novel dataset and benchmarks for urban scene understanding in 2d and 3d

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T11:36:22.691130Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T11:36:21.037051Z digest=sha256:819d8531981b63c86e8d20eec024e6ccfff8dcaa6a23aa342298d98bf1729c6a

Observation c8d638a5-6ee1-4a40-9661-7845f27ce00e · outbound

This paper cites Are nerfs ready for autonomous driving? towards closing the real-to-simulation gap.

LiDAR-RT: Gaussian-based Ray Tracing for Dynamic LiDAR Re-simulation Are nerfs ready for autonomous driving? towards closing the real-to-simulation gap

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T11:36:22.668837Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T11:36:21.042711Z digest=sha256:6b2cffa1fe9a519ebf7bdcf562e3e4675c95ab3e22fd78abc16dce4ec15ee103

Observation 4a469ced-9617-4c83-a774-1f1879fde4b5 · outbound

This paper cites Mix- ture of volumetric primitives for efficient neural rendering.

LiDAR-RT: Gaussian-based Ray Tracing for Dynamic LiDAR Re-simulation Mix- ture of volumetric primitives for efficient neural rendering

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T11:36:22.649113Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T11:36:21.049208Z digest=sha256:9be6d7dd786218b90d902d229a71db1887305556240b21a3cf7cea7690642d63

Observation 446fc82c-2f4a-465c-ab92-8a1161e3d1fc · outbound

This paper cites Dynamic 3d gaussians: Tracking by per- sistent dynamic view synthesis.

LiDAR-RT: Gaussian-based Ray Tracing for Dynamic LiDAR Re-simulation Dynamic 3d gaussians: Tracking by per- sistent dynamic view synthesis

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-11T11:36:21.055699Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T11:36:21.055699Z digest=sha256:c0c5930d4c14e47e71342452a830fb53211177d9641a4e2a23d5460d6efb4d22

Observation 486c760c-d509-49bc-80dd-81ebac22a9bd · outbound

This paper cites EVER: Exact volumetric ellip- soid rendering for real-time view synthesis, 2024.

LiDAR-RT: Gaussian-based Ray Tracing for Dynamic LiDAR Re-simulation EVER: Exact volumetric ellip- soid rendering for real-time view synthesis, 2024

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T11:36:22.600917Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T11:36:21.061983Z digest=sha256:e9afc8220d5d6475999ae404ee3c716daa5f293dbebdaa6bde71ee71084783fb

Observation fc9bce8e-72c5-43b6-a1de-b708e389602c · outbound

This paper cites LiDARsim: Realistic li- dar simulation by leveraging the real world.

LiDAR-RT: Gaussian-based Ray Tracing for Dynamic LiDAR Re-simulation LiDARsim: Realistic li- dar simulation by leveraging the real world

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T11:36:22.565561Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T11:36:21.068204Z digest=sha256:e55515be30d5b42adfb507cbd3a1727e8518904a4b767d4b45f1e9b188e6fdb4

Observation 3e573211-1cb9-44c3-af4b-712bde6d23da · outbound

This paper cites Towards zero domain gap: A comprehensive study of realistic lidar simulation for autonomy testing.

LiDAR-RT: Gaussian-based Ray Tracing for Dynamic LiDAR Re-simulation Towards zero domain gap: A comprehensive study of realistic lidar simulation for autonomy testing

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T11:36:22.537715Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T11:36:21.073788Z digest=sha256:63a5e575d3f82ef7799cb06aec99d921cecc83c50809d500c397f13cbf378d5d

Observation e05864cf-7e52-4278-8429-aa2729043a8f · outbound

This paper cites Srinivasan, Matthew Tancik, Jonathan T.

LiDAR-RT: Gaussian-based Ray Tracing for Dynamic LiDAR Re-simulation Srinivasan, Matthew Tancik, Jonathan T

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T11:36:22.505373Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T11:36:21.078983Z digest=sha256:fc8ffdf4b36382adc651bafbdfe6746824e7018eaba429d5fd4857b9c75b1278

Observation 8036342e-58aa-41c2-acbb-2ac17d04de24 · outbound

This paper cites 3D Gaussian Ray Tracing: Fast tracing of particle scenes.

LiDAR-RT: Gaussian-based Ray Tracing for Dynamic LiDAR Re-simulation 3D Gaussian Ray Tracing: Fast tracing of particle scenes

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T11:36:22.474546Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T11:36:21.084210Z digest=sha256:8dfe41548af8064ee5d47caca6a251d06c263b1e71fbe5c3505bbab2069b19de

Observation acc70491-b55b-4236-89a2-86ab5c27062f · outbound

This paper cites Neural scene graphs for dynamic scenes.

LiDAR-RT: Gaussian-based Ray Tracing for Dynamic LiDAR Re-simulation Neural scene graphs for dynamic scenes

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T11:36:22.453580Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T11:36:21.089301Z digest=sha256:9a050d3bfd01b9d7195cd59a7c9493ff0e4c9c1cc8f1fa6be77c259e215b23cc

Observation c9eb23d0-de45-4773-937d-fa039fca0ff6 · outbound

This paper cites Barron, Sofien Bouaziz, Dan B Goldman, Steven M.

LiDAR-RT: Gaussian-based Ray Tracing for Dynamic LiDAR Re-simulation Barron, Sofien Bouaziz, Dan B Goldman, Steven M

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-11T11:36:21.094989Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T11:36:21.094989Z digest=sha256:80fd279ebb8627274a502552cb0301fa98b7ebfbb5f2397629cc7460fe5bc68a

Observation d781d257-11d7-45e3-a2b3-02183a501ee1 · outbound

This paper cites Barron, Sofien Bouaziz, Dan B Goldman, Ricardo Martin- Brualla, and Steven M.

LiDAR-RT: Gaussian-based Ray Tracing for Dynamic LiDAR Re-simulation Barron, Sofien Bouaziz, Dan B Goldman, Ricardo Martin- Brualla, and Steven M

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T11:36:22.396832Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T11:36:21.100382Z digest=sha256:9f88da616d4f0934d313d6427e156596123d33fd846aeef24148f6b6365c2ad6

Observation 75971bb3-84e7-4a83-be13-9e4dfabb90da · outbound

This paper cites Parker, James Bigler, Andreas Dietrich, Heiko Friedrich, Jared Hoberock, David Luebke, David McAllis- ter, Morgan McGuire, Keith Morley, Austin Robison, and Martin Stich.

LiDAR-RT: Gaussian-based Ray Tracing for Dynamic LiDAR Re-simulation Parker, James Bigler, Andreas Dietrich, Heiko Friedrich, Jared Hoberock, David Luebke, David McAllis- ter, Morgan McGuire, Keith Morley, Austin Robison, and Martin Stich

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T11:36:22.369611Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T11:36:21.106231Z digest=sha256:fa374f05b23083249f5c04cd2b309ffe1afd1decd1eedc7b64dd5c647f866c43

Observation bd6491b6-8c14-40eb-a279-e6a27532f6cf · outbound

This paper cites PyTorch: An im- perative style, high-performance deep learning library, 2019.

LiDAR-RT: Gaussian-based Ray Tracing for Dynamic LiDAR Re-simulation PyTorch: An im- perative style, high-performance deep learning library, 2019

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T11:36:22.351509Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T11:36:21.111662Z digest=sha256:a71145ac85b7109c6b95791a482b983f896482b7d49459c361d839d85484285b

Observation 73e326f6-783e-4f60-b79f-54309f63a4f6 · outbound

This paper cites Surfels: surface elements as rendering primi- tives.

LiDAR-RT: Gaussian-based Ray Tracing for Dynamic LiDAR Re-simulation Surfels: surface elements as rendering primi- tives

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T11:36:22.324588Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T11:36:21.117390Z digest=sha256:0ec48d10faf45d647c7ea8ff3fd60aa17e8e9b5296a416373deee545a64de3a0

Observation c0e98f44-3ce3-4e35-bd36-cc72f196ce53 · outbound

This paper cites D-NeRF: Neural Radiance Fields for Dynamic Scenes.

LiDAR-RT: Gaussian-based Ray Tracing for Dynamic LiDAR Re-simulation D-NeRF: Neural Radiance Fields for Dynamic Scenes

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T11:36:22.293349Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T11:36:21.123438Z digest=sha256:61b0159541609d62e8ceb7e7f4425722e6f4de73d1c4cc93a7a718a5123aa019

Observation 68f41d44-144c-479d-ba70-fb080a6effc7 · outbound

This paper cites StopThePop: Sorted gaussian splatting for view-consistent real-time rendering.

LiDAR-RT: Gaussian-based Ray Tracing for Dynamic LiDAR Re-simulation StopThePop: Sorted gaussian splatting for view-consistent real-time rendering

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T11:36:22.267138Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T11:36:21.130685Z digest=sha256:5f1f567ce6f684c0acb8056efeb9c21d9646541b73efe98e0fd3ab6ad6196119

Observation 566d0430-006b-428e-b514-bec01c4bb810 · outbound

This paper cites An efficient represen- tation for irradiance environment maps.

LiDAR-RT: Gaussian-based Ray Tracing for Dynamic LiDAR Re-simulation An efficient represen- tation for irradiance environment maps

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T11:36:22.246622Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T11:36:21.137205Z digest=sha256:ff520a8486a0627d680ea7d437f43ae1d1ffac9650fbd39b12bbf9b33b877a4d

Observation dffa3776-0dc2-45a5-9d54-5c7361313066 · outbound

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

LiDAR-RT: Gaussian-based Ray Tracing for Dynamic LiDAR Re-simulation U- Net: Convolutional networks for biomedical image segmen- tation

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T11:36:22.186681Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T11:36:21.149215Z digest=sha256:929b2f45cc9ad1fa31b67edd45817c114c5d7394c8bc96138657c579ae3895d2

Observation bb001a99-847c-4cbc-8137-6255131cfbad · outbound

This paper cites AirSim: High-fidelity visual and physical simula- tion for autonomous vehicles, 2017.

LiDAR-RT: Gaussian-based Ray Tracing for Dynamic LiDAR Re-simulation AirSim: High-fidelity visual and physical simula- tion for autonomous vehicles, 2017

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T11:36:22.164623Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T11:36:21.154308Z digest=sha256:f35d8c0d9fffc6ab4630dd984567fa2ad833d859d20e7ae8b4bdff92d33afd66

Observation 8ce702da-0740-4c6c-9729-c7118f0a5c21 · outbound

This paper cites Scalability in perception for autonomous driving: Waymo open dataset.

LiDAR-RT: Gaussian-based Ray Tracing for Dynamic LiDAR Re-simulation Scalability in perception for autonomous driving: Waymo open dataset

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T11:36:22.138048Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T11:36:21.159213Z digest=sha256:2b85b34b7f79547b522ed3443c6ad8effefc7e552e6ade7d4f14a78c64479a5d

Observation d9583017-ee2f-4e08-a8ed-453f9d6f27fc · outbound

This paper cites AlignMiF: Geometry-Aligned Multimodal Implicit Field for LiDAR-Camera Joint Synthesis.

LiDAR-RT: Gaussian-based Ray Tracing for Dynamic LiDAR Re-simulation AlignMiF: Geometry-Aligned Multimodal Implicit Field for LiDAR-Camera Joint Synthesis

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-11T11:36:21.164984Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T11:36:21.164984Z digest=sha256:2ea6cc8f4c1733256d60f89a697bf796fcb56bfed9ea065ebd8c8f37d54c22ed

Observation d0bd2f8d-e640-4e0a-85bf-ab91fa6f7e96 · outbound

This paper cites LiDAR-NeRF: Novel LiDAR View Synthesis via Neural Radiance Fields.

LiDAR-RT: Gaussian-based Ray Tracing for Dynamic LiDAR Re-simulation LiDAR-NeRF: Novel LiDAR View Synthesis via Neural Radiance Fields

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-11T11:36:21.170642Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T11:36:21.170642Z digest=sha256:5a7388b7b96e650d77e2201f5f1e44ef9d85daa74faecc7ee2d9911a10e1d209

Observation 837d9f7d-aa78-4a1e-8239-4f3be7d27805 · outbound

This paper cites NeuRAD: Neural rendering for autonomous driving.

LiDAR-RT: Gaussian-based Ray Tracing for Dynamic LiDAR Re-simulation NeuRAD: Neural rendering for autonomous driving

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T11:36:22.118085Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T11:36:21.176860Z digest=sha256:b4e01445f02cff95af5942ec4f0740d2df352aa777280f852edb97ec1b7270bd

Observation ab20f706-5784-48fb-82a5-ea202683a195 · outbound

This paper cites SUDS: Scalable urban dynamic scenes.

LiDAR-RT: Gaussian-based Ray Tracing for Dynamic LiDAR Re-simulation SUDS: Scalable urban dynamic scenes

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T11:36:22.098465Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T11:36:21.182261Z digest=sha256:57bd0afb4031224563638aacd5f45840f4e5d5bc34e98c0186f0e11568eb155c

Observation 0ca5135d-c29e-4b12-899c-6e3752306dae · outbound

This paper cites Bovik, H.R.

LiDAR-RT: Gaussian-based Ray Tracing for Dynamic LiDAR Re-simulation Bovik, H.R

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-11T11:36:21.187245Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T11:36:21.187245Z digest=sha256:dd0a4d8742bd8ffbd897ffcf71e36df58f0a052487854264298c9b1892d0e475

Observation 4ff683c9-60c8-4252-a859-801c88cf5c4b · outbound

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

LiDAR-RT: Gaussian-based Ray Tracing for Dynamic LiDAR Re-simulation Dynamic lidar re- simulation using compositional neural fields

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-11T11:36:21.192539Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T11:36:21.192539Z digest=sha256:a45d2aeb6fce028c5a831f3a54454b748ee81e6a97efab593089a4b918d9aef3

Observation 5d87e860-b2d7-469f-a599-aef0417ac059 · outbound

This paper cites MARS: An instance-aware, modular and realistic simulator for au- tonomous driving.

LiDAR-RT: Gaussian-based Ray Tracing for Dynamic LiDAR Re-simulation MARS: An instance-aware, modular and realistic simulator for au- tonomous driving

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T11:36:22.049482Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T11:36:21.198297Z digest=sha256:133534fa922b1a9e3dce7418aa78d263ef1799e836f3545c5b90d81c8ba0f014

Observation 8c587309-4b43-4a9f-8312-a341f3a1cba2 · outbound

This paper cites S-NeRF: Neural radiance fields for street views.

LiDAR-RT: Gaussian-based Ray Tracing for Dynamic LiDAR Re-simulation S-NeRF: Neural radiance fields for street views

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T11:36:22.028617Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T11:36:21.203638Z digest=sha256:499a93d688e16ed275c94252fda57aa00e983eef04d220864d7ff76f6004e011

Observation 8ff016b7-b7f5-4615-b855-ea1aa1b45891 · outbound

This paper cites GeoNLF: Geometry guided pose-free neural lidar fields, 2024.

LiDAR-RT: Gaussian-based Ray Tracing for Dynamic LiDAR Re-simulation GeoNLF: Geometry guided pose-free neural lidar fields, 2024

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T11:36:21.993619Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T11:36:21.209800Z digest=sha256:2c583cd4575bff954311230a07556401b9a36d6ffdfc2e4d76937eba44b91d70

Observation 81e6c8e1-8dea-492a-a506-a1a46989c6e4 · outbound

This paper cites Street gaussians for modeling dynamic ur- ban scenes.

LiDAR-RT: Gaussian-based Ray Tracing for Dynamic LiDAR Re-simulation Street gaussians for modeling dynamic ur- ban scenes

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T11:36:21.973100Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T11:36:21.215653Z digest=sha256:625c0d04bb737a651756b82ab5b5e95d6e84799a800b5348f70be6b6fe386217

Observation 855bc0a8-52f5-4156-b165-698a560d1ce3 · outbound

This paper cites EmerNeRF: Emergent spatial-temporal scene decomposition via self-supervision.

LiDAR-RT: Gaussian-based Ray Tracing for Dynamic LiDAR Re-simulation EmerNeRF: Emergent spatial-temporal scene decomposition via self-supervision

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T11:36:21.950829Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T11:36:21.221176Z digest=sha256:38123e97a042b0a617602daaeb740c2321a4b1562d70deb0af2ccf2e918c9f8a

Observation fe82ca74-f3cb-4224-87fd-02c6ac068245 · outbound

This paper cites Surfelgan: Synthesizing realistic sensor data for autonomous driving.

LiDAR-RT: Gaussian-based Ray Tracing for Dynamic LiDAR Re-simulation Surfelgan: Synthesizing realistic sensor data for autonomous driving

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T11:36:21.926490Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T11:36:21.226390Z digest=sha256:c06469248d384bdc5b59cca394b4e8bca68d69d2ec98dc14fcc82256ad4acd94

Observation 82202e19-dd97-463d-9a6c-80ec67cc6bc4 · outbound

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

LiDAR-RT: Gaussian-based Ray Tracing for Dynamic LiDAR Re-simulation UniSim: A neural closed-loop sensor simulator

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T11:36:21.902712Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T11:36:21.232677Z digest=sha256:fafabbbe4e3e40753702e7630488ed98980a5b613ecf3cdbe2385b476dd61695

Observation ab91e23b-9de6-42dc-bc7f-c2118b292958 · outbound

This paper cites AbsGS: Recovering fine details for 3d gaussian splat- ting, 2024.

LiDAR-RT: Gaussian-based Ray Tracing for Dynamic LiDAR Re-simulation AbsGS: Recovering fine details for 3d gaussian splat- ting, 2024

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T11:36:21.883336Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T11:36:21.238102Z digest=sha256:4539c0abd2ea2381b52846088ce39606a3ba28bd14345dae8a09472669c52ce0

Observation 5919543f-6547-455e-9cf7-7166d673e213 · outbound

This paper cites Mip-Splatting: Alias-free 3d gaussian splat- ting.

LiDAR-RT: Gaussian-based Ray Tracing for Dynamic LiDAR Re-simulation Mip-Splatting: Alias-free 3d gaussian splat- ting

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T11:36:21.852857Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T11:36:21.243260Z digest=sha256:8c9e36d00a4a4252434a79070b79eedd33ee2a23775896de5e6c96add993816f

Observation 825fd57d-828a-49a8-a9fd-2b7a65b9bd10 · outbound

This paper cites NeRF-LiDAR: Generating realistic lidar point clouds with neural radiance fields, 2024.

LiDAR-RT: Gaussian-based Ray Tracing for Dynamic LiDAR Re-simulation NeRF-LiDAR: Generating realistic lidar point clouds with neural radiance fields, 2024

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T11:36:21.830026Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T11:36:21.248491Z digest=sha256:6bfa3358bcc15e5b10bac80bbe4354c8b592005efd41609a3ca07c4de9827b5d

Observation 0ef5ebca-5624-476b-9545-acd499052da5 · outbound

This paper cites Efros, Eli Shecht- man, and Oliver Wang.

LiDAR-RT: Gaussian-based Ray Tracing for Dynamic LiDAR Re-simulation Efros, Eli Shecht- man, and Oliver Wang

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T11:36:21.810308Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T11:36:21.253761Z digest=sha256:266ae076277e8dac5e9d39aaee34c77ecff8ee6d6d7a9878e47f6365d425f3bb

Observation 73c21f18-4b13-4724-b61c-ca0640362a3c · outbound

This paper cites LiDAR4D: Dynamic neural fields for novel space-time view lidar synthesis.

LiDAR-RT: Gaussian-based Ray Tracing for Dynamic LiDAR Re-simulation LiDAR4D: Dynamic neural fields for novel space-time view lidar synthesis

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T11:36:21.787806Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T11:36:21.259631Z digest=sha256:26b4cd56cd688abf7aefc5a0f1b88891fd3e6fb74acf31c5a2740b8f12600a43

Observation 492c225a-4646-4d7a-9ee9-407ac6b00603 · outbound

This paper cites HUGS: Holistic urban 3d scene understanding via gaussian splatting.

LiDAR-RT: Gaussian-based Ray Tracing for Dynamic LiDAR Re-simulation HUGS: Holistic urban 3d scene understanding via gaussian splatting

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T11:36:21.745600Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T11:36:21.270498Z digest=sha256:3e9c12c0c51e30c3a405e25a9cabfc6dd65094f88bf8b0084c73f20911becc65

Observation 10dd40e7-7f57-46bd-8aae-e40ca0a6d67f · outbound

This paper cites DrivingGaussian: Composite Gaussian Splatting for Surrounding Dynamic Autonomous Driving Scenes.

LiDAR-RT: Gaussian-based Ray Tracing for Dynamic LiDAR Re-simulation DrivingGaussian: Composite Gaussian Splatting for Surrounding Dynamic Autonomous Driving Scenes

Reference 60

Resolution
unresolved
no resolver link, observed 2026-08-11T11:36:21.275922Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T11:36:21.275922Z digest=sha256:8970841dce392a7b7320abc42c1f587ec179a0b2374f17374a5275c4dcf177c8

Observation ac06d017-a28b-4194-b9f6-ffa5fb4a53ca · outbound

This paper cites Zwicker, H.

LiDAR-RT: Gaussian-based Ray Tracing for Dynamic LiDAR Re-simulation Zwicker, H

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T11:36:21.715174Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T11:36:21.283027Z digest=sha256:a79478ce80f714a418bc002f9641375425b3b8abfc2629e2b2662db430cd22b4

Observation e0c8581d-6188-48bb-a063-5c8bd956f204 · outbound

This paper cites Learning to generate realistic lidar point clouds.

LiDAR-RT: Gaussian-based Ray Tracing for Dynamic LiDAR Re-simulation Learning to generate realistic lidar point clouds

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T11:36:21.694178Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T11:36:21.289138Z digest=sha256:a49d39c8ee514f5ae1338ee32183846b7d4b5c49c5ef8250a2bc2dd90beb9088

Observation bd8681d7-2a74-4de9-ba15-a7b7e5c4702e · outbound

This paper cites LidarDM: Generative lidar simulation in a generated world,.

LiDAR-RT: Gaussian-based Ray Tracing for Dynamic LiDAR Re-simulation LidarDM: Generative lidar simulation in a generated world,

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T11:36:21.668596Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T11:36:21.297956Z digest=sha256:78506a7e08a02e4db9277f5df3cf6613d51a30be7d0bce8cddf1bd6dd33651ee

Observation 9856fb51-cc8d-4296-8a9c-87dbb7140b08 · outbound

This paper cites Qualitative comparison of novel view LiDAR point clouds on Waymo Open Dataset [40].

LiDAR-RT: Gaussian-based Ray Tracing for Dynamic LiDAR Re-simulation Qualitative comparison of novel view LiDAR point clouds on Waymo Open Dataset [40]

Reference 66

Resolution
verified exact
raw_fallback, observed 2026-08-11T11:36:21.471230Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T11:36:21.303874Z digest=sha256:f063a47b503da5258ae4e88390291dc89ad028b4d86051a930c972444d55944e

Observation 7b3218f3-7931-4133-a36e-9fd7259bda8f · outbound

This paper cites an unresolved cited work.

LiDAR-RT: Gaussian-based Ray Tracing for Dynamic LiDAR Re-simulation Unresolved cited work

Reference 2001

Resolution
unresolved
raw_fallback, observed 2026-08-11T11:36:22.218506Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T11:36:21.143301Z digest=sha256:361ef23ce0fb328a586a25e866e8453ad60467c48d418347fa75bb9d5622e9a2

Observation 62866c6f-c48a-4837-9813-af846bbd32a9 · outbound

This paper cites an unresolved cited work.

LiDAR-RT: Gaussian-based Ray Tracing for Dynamic LiDAR Re-simulation Unresolved cited work

Reference 2024

Resolution
parse uncertain
raw_fallback, observed 2026-08-11T11:36:21.767294Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T11:36:21.265708Z digest=sha256:cb6a9a4846c2c2d75824133a3240f85906f86942bfc71ce59eded06be805257c

Pith citing papers

Observation 201b9fbc-b5cc-4d7d-bd10-c36c6844de84 · inbound

SaLF: Sparse Local Fields for Multi-Sensor Rendering in Real-Time cites this paper.

SaLF: Sparse Local Fields for Multi-Sensor Rendering in Real-Time LiDAR-RT: Gaussian-based Ray Tracing for Dynamic LiDAR Re-simulation

Reference 60

Resolution
verified exact
arxiv_id, observed 2026-05-19T02:42:00.010561Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-19T02:37:56.469217Z digest=sha256:de14d03d220c545713ceed3d0a038afdcecbda4717d7d002465b1a04c0293521