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Paper Citation Record · LEDGER

InvRGB+L: Inverse Rendering of Complex Scenes with Unified Color and LiDAR Reflectance Modeling

As of 15 August 2026, this Paper Citation Record lists 55 of 55 outbound references and 2 inbound Pith citation observations for arXiv:2507.17613.

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

pith.paper-citation-record.v1
2507.17613 v1

Coverage vector

measured 55 of 55 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T14:51:42.725849Z

measured 57 of 57 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-14T22:12:49.510682Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-15T12:09:59.607328Z

Reference resolution

55 of 55 outbound references displayed

  • verified exact1
  • verified fuzzy38
  • unresolved16
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 5a8019f1-e657-462e-a19f-5c0633dca722 · outbound

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

InvRGB+L: Inverse Rendering of Complex Scenes with Unified Color and LiDAR Reflectance Modeling Lidar-gs: Real-time lidar re-simulation us- ing gaussian splatting

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-06T14:51:41.380723Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:51:41.380723Z digest=sha256:b7420a26e4605c3a4b45ad6cee6dc6413a131bac2824163a64258c07429f2af6

Observation de6cc51b-ba05-4efe-872f-39c76257cb14 · outbound

This paper cites NeRRF: 3D Reconstruction and View Synthesis for Transparent and Specular Objects with Neural Refractive-Reflective Fields.

InvRGB+L: Inverse Rendering of Complex Scenes with Unified Color and LiDAR Reflectance Modeling NeRRF: 3D Reconstruction and View Synthesis for Transparent and Specular Objects with Neural Refractive-Reflective Fields

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-06T14:51:41.529292Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:51:41.529292Z digest=sha256:3847a899bb2f472d2f3ca602b20f6b999d6bf7815ec77b550d4f76a4dcb2668d

Observation dabebc2b-8234-4659-90cb-9fe9a6bd0785 · outbound

This paper cites Dpf: Learning dense prediction fields with weak supervision.

InvRGB+L: Inverse Rendering of Complex Scenes with Unified Color and LiDAR Reflectance Modeling Dpf: Learning dense prediction fields with weak supervision

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:51:43.959123Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T14:51:41.721178Z digest=sha256:4b66fbc77af31e1af01b63005d6db52342f06711e73e683d67b844fa33e8e2f6

Observation 88bab925-9ed1-40d6-bca8-2871a0c5d63a · outbound

This paper cites Time-conditioned illumination for inverse rendering of out- door scenes.

InvRGB+L: Inverse Rendering of Complex Scenes with Unified Color and LiDAR Reflectance Modeling Time-conditioned illumination for inverse rendering of out- door scenes

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:51:43.931596Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T14:51:41.848174Z digest=sha256:fe1b117c4dcc22a69bfb9870e3b5264d29d2e10bc3e15edbfd7d69229e9f9661

Observation af2e8780-ab58-4ad0-9061-b981c39c76a8 · outbound

This paper cites RGM: Reconstructing High-fidelity 3D Car Assets with Relightable 3D-GS Generative Model from a Single Image.

InvRGB+L: Inverse Rendering of Complex Scenes with Unified Color and LiDAR Reflectance Modeling RGM: Reconstructing High-fidelity 3D Car Assets with Relightable 3D-GS Generative Model from a Single Image

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-06T14:51:42.026139Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:51:42.026139Z digest=sha256:0f45f2ce5b23e215f4d9dd7d961e0807030bccf86961cdb23ae5631d1a15b997

Observation 55151239-fd28-48ba-9989-1ad811be3c2c · outbound

This paper cites OmniRe: Omni Urban Scene Reconstruction.

InvRGB+L: Inverse Rendering of Complex Scenes with Unified Color and LiDAR Reflectance Modeling OmniRe: Omni Urban Scene Reconstruction

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-06T14:51:42.178287Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:51:42.178287Z digest=sha256:d5a616cbbbfeb6b2f10e1354f3ec02e1d98708ffc902bca5d5a965448ad04b14

Observation a8cda386-5fcc-47a4-8e86-1207d425a759 · outbound

This paper cites General- ized lidar intensity normalization and its positive impact on geometric and learning-based lane marking detection.

InvRGB+L: Inverse Rendering of Complex Scenes with Unified Color and LiDAR Reflectance Modeling General- ized lidar intensity normalization and its positive impact on geometric and learning-based lane marking detection

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:51:43.905784Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T14:51:42.274615Z digest=sha256:34005a2912842d61d307847aa9e66bafb2550fb230df712e09a3644871600573

Observation 6f15a930-ec69-4cd8-aedd-693716b891d5 · outbound

This paper cites Blender — a 3d modelling and rendering package, 2025.

InvRGB+L: Inverse Rendering of Complex Scenes with Unified Color and LiDAR Reflectance Modeling Blender — a 3d modelling and rendering package, 2025

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:51:43.887652Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T14:51:42.327126Z digest=sha256:94fe30651ae1b572bfd1786ec2da80a446be2faa1e5f7528664cf409e8726ee6

Observation 441324ed-b7d1-43ee-a12f-dd28b784ea10 · outbound

This paper cites Torrance.

InvRGB+L: Inverse Rendering of Complex Scenes with Unified Color and LiDAR Reflectance Modeling Torrance

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:51:43.859671Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T14:51:42.467142Z digest=sha256:cd1866fb186f0f8e390d7c6b52bba083ce0e96c9cec3570617ebc828d6814eaa

Observation 3e13a6ff-dcf7-4dbf-8e3e-384968f5ec52 · outbound

This paper cites Material parameter estimation with terahertz time- domain spectroscopy.

InvRGB+L: Inverse Rendering of Complex Scenes with Unified Color and LiDAR Reflectance Modeling Material parameter estimation with terahertz time- domain spectroscopy

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:51:43.834419Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T14:51:42.476166Z digest=sha256:7194ca5caaa2383ec9c6868db2b79781d3855252f20d8d2be2127614b54bbbd6

Observation 48e34bff-e2f9-4f67-b6ee-d5f00383f2bb · outbound

This paper cites Geowiz- ard: Unleashing the diffusion priors for 3d geometry esti- mation from a single image.

InvRGB+L: Inverse Rendering of Complex Scenes with Unified Color and LiDAR Reflectance Modeling Geowiz- ard: Unleashing the diffusion priors for 3d geometry esti- mation from a single image

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:51:43.812175Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T14:51:42.481138Z digest=sha256:43a0a6d0ffdf49b69043c69a3f82e7346512317ed3bc3441023f98697dcbfb0b

Observation 514542a5-6a06-43c7-922c-3c70105acc04 · outbound

This paper cites Relightable 3d gaussians: Re- alistic point cloud relighting with brdf decomposition and ray tracing.

InvRGB+L: Inverse Rendering of Complex Scenes with Unified Color and LiDAR Reflectance Modeling Relightable 3d gaussians: Re- alistic point cloud relighting with brdf decomposition and ray tracing

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:51:43.792220Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T14:51:42.488253Z digest=sha256:8426c085543f9179898e95cbd5b576d5f824a16af1f8ad19a07d89d5b414b96d

Observation d7499963-a018-4434-83a7-7d357c050587 · outbound

This paper cites Neural kernel surface re- construction.

InvRGB+L: Inverse Rendering of Complex Scenes with Unified Color and LiDAR Reflectance Modeling Neural kernel surface re- construction

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:51:43.773752Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T14:51:42.494492Z digest=sha256:02b7e0dcd6c6f1ebdbdaa85821c1a4ad6376a3246e64ee231e6e4e38b4caf206

Observation e4ea252b-0118-4d0a-a678-8aaa607b6fc0 · outbound

This paper cites Neural lidar fields for novel view synthesis.

InvRGB+L: Inverse Rendering of Complex Scenes with Unified Color and LiDAR Reflectance Modeling Neural lidar fields for novel view synthesis

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:51:43.752442Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T14:51:42.499516Z digest=sha256:73a043abac668c05b1882d293f9c84f161d85d2b440103aa21c383f25c94b439

Observation 57340c5b-0359-4bf9-b788-a8cc345b7ee2 · outbound

This paper cites Tensoir: Tensorial inverse rendering.

InvRGB+L: Inverse Rendering of Complex Scenes with Unified Color and LiDAR Reflectance Modeling Tensoir: Tensorial inverse rendering

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:51:43.734531Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T14:51:42.509344Z digest=sha256:a1df5b9f3190ea045efd45f122c540b22a045d9de40b5661286e083957527d71

Observation a058b1d4-8549-44b8-a71d-39ef4430d99c · outbound

This paper cites ultralytics/yolov5: v3.

InvRGB+L: Inverse Rendering of Complex Scenes with Unified Color and LiDAR Reflectance Modeling ultralytics/yolov5: v3

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:51:43.716195Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T14:51:42.515008Z digest=sha256:7d83b2ab7f444cad49de3c279425a52fad2738dbc9140527f82994a2046fa024

Observation 9b3cddd7-521c-4cf1-a84f-62cf5bf5a17a · outbound

This paper cites an unresolved cited work.

InvRGB+L: Inverse Rendering of Complex Scenes with Unified Color and LiDAR Reflectance Modeling Unresolved cited work

Reference 17

Resolution
unresolved
raw_fallback, observed 2026-08-06T14:51:43.690743Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T14:51:42.520694Z digest=sha256:104d34398f2c2337c5d6e1084ade5e71109b2b86899c5c83957d348f80d4bf63

Observation fd093c0e-1542-4f17-9c78-ae0807c3d047 · outbound

This paper cites Segment any- thing.

InvRGB+L: Inverse Rendering of Complex Scenes with Unified Color and LiDAR Reflectance Modeling Segment any- thing

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:51:43.665801Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T14:51:42.526741Z digest=sha256:ef8c5c61d65ca72f1fd7ec13c7dddd009c9d70f7871117b402d944927047170d

Observation 8a3162d1-2a8b-4fae-804d-2c7a810e443f · outbound

This paper cites In- trinsic image diffusion for indoor single-view material es- timation.

InvRGB+L: Inverse Rendering of Complex Scenes with Unified Color and LiDAR Reflectance Modeling In- trinsic image diffusion for indoor single-view material es- timation

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:51:43.643665Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T14:51:42.531752Z digest=sha256:fcbc03dbee0d14e38d53944793e131540f53c4c9d65505f60887fb8b1456cbd4

Observation 7478b1ce-9c39-48fc-8d14-a11aae7b89d8 · outbound

This paper cites General, single-shot, target-less, and automatic lidar- camera extrinsic calibration toolbox.

InvRGB+L: Inverse Rendering of Complex Scenes with Unified Color and LiDAR Reflectance Modeling General, single-shot, target-less, and automatic lidar- camera extrinsic calibration toolbox

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:51:43.622044Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T14:51:42.536373Z digest=sha256:82976ad189404cd8aa6d0bfa92cef190c9052055684ca8b81c4f188dab63daa3

Observation 32b44c6f-a072-4e54-9409-3a6850d79596 · outbound

This paper cites an unresolved cited work.

InvRGB+L: Inverse Rendering of Complex Scenes with Unified Color and LiDAR Reflectance Modeling Unresolved cited work

Reference 21

Resolution
unresolved
raw_fallback, observed 2026-08-06T14:51:43.601328Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T14:51:42.540506Z digest=sha256:f9579291be96fb3aa0c6a35f35a3c35f8234c6fbfaad16c50335011ecabf6cfb

Observation 083abad0-a913-4d5a-be51-b98c0237505d · outbound

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

InvRGB+L: Inverse Rendering of Complex Scenes with Unified Color and LiDAR Reflectance Modeling Pcgen: Point cloud generator for lidar simulation

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:51:43.575060Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T14:51:42.544965Z digest=sha256:ddf210049459f674d9e183262202141e217ed18fe3a65af6b4c67ec8a720eeca

Observation d7681bea-3ec8-40ee-a2bd-19e6b5513c40 · outbound

This paper cites DiffusionRenderer: Neural Inverse and Forward Rendering with Video Diffusion Models.

InvRGB+L: Inverse Rendering of Complex Scenes with Unified Color and LiDAR Reflectance Modeling DiffusionRenderer: Neural Inverse and Forward Rendering with Video Diffusion Models

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-06T14:51:42.549234Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:51:42.549234Z digest=sha256:c93fefcccf588d97a3fe9f6af77d3f0da57ddcd1484f978b001c4f15ad6aa101

Observation 60ba535f-dbca-42e3-99a7-a74ec3800b7f · outbound

This paper cites Gs-ir: 3d gaussian splatting for inverse rendering.

InvRGB+L: Inverse Rendering of Complex Scenes with Unified Color and LiDAR Reflectance Modeling Gs-ir: 3d gaussian splatting for inverse rendering

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-06T14:51:42.554235Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:51:42.554235Z digest=sha256:1c3e4d05c1590220e32ae686ce76c7801bb2b1da9764f1e58cc92e9602eb67b5

Observation 71173de9-6c4f-4f9b-bbb6-48fb3e8f2112 · outbound

This paper cites UrbanIR: Large-Scale Urban Scene Inverse Rendering from a Single Video.

InvRGB+L: Inverse Rendering of Complex Scenes with Unified Color and LiDAR Reflectance Modeling UrbanIR: Large-Scale Urban Scene Inverse Rendering from a Single Video

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-06T14:51:42.559360Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:51:42.559360Z digest=sha256:e3ec2c5ce0ef19a95f634929f27b12774e2a0f090e8a42e41a66159e1ae2ef6f

Observation a302d21c-7b1d-48a0-ab0e-80c4f94d003a · outbound

This paper cites Maloney and B.A.

InvRGB+L: Inverse Rendering of Complex Scenes with Unified Color and LiDAR Reflectance Modeling Maloney and B.A

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:51:43.531795Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T14:51:42.565169Z digest=sha256:70d9a3c79425fd05cd56d6e9b4993d2e9a8e51561efc37eee913a21b62247fcc

Observation a8de37aa-6bf0-4ebd-a8f4-a641df0330a6 · outbound

This paper cites Lidarsim: Realistic lidar simulation by leveraging the real world.

InvRGB+L: Inverse Rendering of Complex Scenes with Unified Color and LiDAR Reflectance Modeling Lidarsim: Realistic lidar simulation by leveraging the real world

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:51:43.507886Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T14:51:42.570835Z digest=sha256:8bad86cf7706c98631ce9a08d196c4ee2e9537d2ff6111df71ccb24909af67c5

Observation 3a1c73b8-ccf9-4f0b-8d1c-2e0a03386188 · outbound

This paper cites Lime: Live intrinsic material esti- mation.

InvRGB+L: Inverse Rendering of Complex Scenes with Unified Color and LiDAR Reflectance Modeling Lime: Live intrinsic material esti- mation

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:51:43.482153Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T14:51:42.577294Z digest=sha256:1396ff2570a622dbefaf59b99ad60c90dda5776d36f51b9e94b7f090a7b93f13

Observation 0cba34d2-2a04-46e3-88f9-09dbfbbdd645 · outbound

This paper cites Diffusionlight: Light probes for free by painting a chrome ball.

InvRGB+L: Inverse Rendering of Complex Scenes with Unified Color and LiDAR Reflectance Modeling Diffusionlight: Light probes for free by painting a chrome ball

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:51:43.458469Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T14:51:42.581818Z digest=sha256:f1b28478d80ff6771baef1d892abababf88aecdb37ba735562ae0efe47fed14c

Observation 2a5b2ae9-fe3d-4b75-a9b5-3b05814fbfef · outbound

This paper cites Neural lighting simulation for urban scenes.

InvRGB+L: Inverse Rendering of Complex Scenes with Unified Color and LiDAR Reflectance Modeling Neural lighting simulation for urban scenes

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:51:43.437837Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T14:51:42.586489Z digest=sha256:002ba6254ab7be3bfd2d8681641be527f3ca8ca4a5627b055e38783f7308cfc3

Observation 45fd2e44-0f61-4b35-9916-124ff65f5673 · outbound

This paper cites Neural inverse rendering of an indoor scene from a single image.

InvRGB+L: Inverse Rendering of Complex Scenes with Unified Color and LiDAR Reflectance Modeling Neural inverse rendering of an indoor scene from a single image

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:51:43.417863Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T14:51:42.591539Z digest=sha256:1b3826fdf146c132849bcd76411b92719db22f53a7b7af39451a5fe9eaf1943b

Observation d163ae1d-5185-40b7-854c-793b5b485b6b · outbound

This paper cites GIR: 3D Gaussian Inverse Rendering for Relightable Scene Factorization.

InvRGB+L: Inverse Rendering of Complex Scenes with Unified Color and LiDAR Reflectance Modeling GIR: 3D Gaussian Inverse Rendering for Relightable Scene Factorization

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-06T14:51:42.597325Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:51:42.597325Z digest=sha256:cfb9ffaa586c9949533ea0b5c9fd32d2404fcea14cf50f6fb35abc423a01e5d0

Observation 91e0a547-791e-4ff5-8ee6-ba17e9af86c5 · outbound

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

InvRGB+L: Inverse Rendering of Complex Scenes with Unified Color and LiDAR Reflectance Modeling Scalability in perception for autonomous driving: Waymo open dataset

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:51:43.398790Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T14:51:42.602484Z digest=sha256:9b7267a7f9edeeaa25fda8c40d7814503ef9e18aa948394e11cc4a3ce3925586

Observation 659ce9c4-358e-4f8e-892e-c9a6dfb7f3fc · outbound

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

InvRGB+L: Inverse Rendering of Complex Scenes with Unified Color and LiDAR Reflectance Modeling Lidar-nerf: Novel li- dar view synthesis via neural radiance fields

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:51:43.380002Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T14:51:42.606774Z digest=sha256:bcc93e636d5948ad819c3789fb5c83995fe14ee672acfcf2da1df64bb620d983

Observation fcc9fd05-3f97-4c9f-b81b-0d2452d05c4b · outbound

This paper cites Alignmif: Geometry-aligned multimodal implicit field for lidar-camera joint synthesis.

InvRGB+L: Inverse Rendering of Complex Scenes with Unified Color and LiDAR Reflectance Modeling Alignmif: Geometry-aligned multimodal implicit field for lidar-camera joint synthesis

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:51:43.359947Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T14:51:42.611197Z digest=sha256:5508b31d8a0af803370647b240bb40afe6e1976ededbcef8a9887534ad2bfa86

Observation 6f6ad9b4-da94-4c05-a82e-33b46b2f965d · outbound

This paper cites Neurad: Neural rendering for autonomous driving.

InvRGB+L: Inverse Rendering of Complex Scenes with Unified Color and LiDAR Reflectance Modeling Neurad: Neural rendering for autonomous driving

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-06T14:51:42.617176Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:51:42.617176Z digest=sha256:7b11a9bba5cea9fb054541e8e9170887cdc08a557ff614479562ae1155688828

Observation b9642a94-3464-4068-bb63-5b590f79472c · outbound

This paper cites Learning to predict lidar intensities.

InvRGB+L: Inverse Rendering of Complex Scenes with Unified Color and LiDAR Reflectance Modeling Learning to predict lidar intensities

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:51:43.330768Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T14:51:42.621498Z digest=sha256:d59ec8ce4a49e8a881717293e87d47cac2975ea5eef79ade8b8c1a6e48b30178

Observation 921a8b8b-7607-4b6b-a7c6-2686bad41ed9 · outbound

This paper cites Off-road lidar intensity based semantic segmentation.

InvRGB+L: Inverse Rendering of Complex Scenes with Unified Color and LiDAR Reflectance Modeling Off-road lidar intensity based semantic segmentation

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:51:43.310906Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T14:51:42.627004Z digest=sha256:2a6b35ba4ea0269a38a8c972f86903114c16e24495e28806d1720a7f71c6fe5a

Observation ea3d95b0-0f46-40fd-9e5a-b2bc66239599 · outbound

This paper cites Reflectivity Is All You Need!: Advancing LiDAR Semantic Segmentation.

InvRGB+L: Inverse Rendering of Complex Scenes with Unified Color and LiDAR Reflectance Modeling Reflectivity Is All You Need!: Advancing LiDAR Semantic Segmentation

Reference 39

Resolution
verified exact
local_arxiv, observed 2026-08-06T14:51:42.776405Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T14:51:42.636943Z digest=sha256:50ee6cb6ab7973109754d93174eb22119f4fc2689d8e47e854f7e9abc6f4f2e2

Observation 7cb79859-1818-4a2e-97e1-b281b2889b2c · outbound

This paper cites Stylelight: Hdr panorama generation for lighting estimation and editing.

InvRGB+L: Inverse Rendering of Complex Scenes with Unified Color and LiDAR Reflectance Modeling Stylelight: Hdr panorama generation for lighting estimation and editing

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:51:43.292289Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T14:51:42.642408Z digest=sha256:cbfd45b09236267397d113da247f8e721a18811d27395d81ef88164a543af1c5

Observation 73c87cff-d6c5-4e5e-8a2a-f2f62af396dc · outbound

This paper cites Dust3r: Geometric 3d vi- sion made easy.

InvRGB+L: Inverse Rendering of Complex Scenes with Unified Color and LiDAR Reflectance Modeling Dust3r: Geometric 3d vi- sion made easy

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-06T14:51:42.653301Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:51:42.653301Z digest=sha256:6a407dff0fbfb7c1280b89336a27462f07d46fd0da6915cc5020e2e0b970e9f3

Observation 45849771-a851-4efd-9cc8-7b331dcab48f · outbound

This paper cites Image quality assessment: from error visibility to structural similarity.

InvRGB+L: Inverse Rendering of Complex Scenes with Unified Color and LiDAR Reflectance Modeling Image quality assessment: from error visibility to structural similarity

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-06T14:51:42.659513Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:51:42.659513Z digest=sha256:4f60e3ed999737a93ec09bb3e7e93bd90d8c4c4575f207a47d113f356f2bd291

Observation be44b395-e296-473f-a650-6614e54725d7 · outbound

This paper cites Neural fields meet explicit geomet- ric representations for inverse rendering of urban scenes.

InvRGB+L: Inverse Rendering of Complex Scenes with Unified Color and LiDAR Reflectance Modeling Neural fields meet explicit geomet- ric representations for inverse rendering of urban scenes

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:51:43.245161Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T14:51:42.668104Z digest=sha256:2c39dc0d81b40526b86acf35732c82ea7de163dee8a5884883dccc27793220a7

Observation e5afd6c9-411b-4eee-9904-d812ff6d4edd · outbound

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

InvRGB+L: Inverse Rendering of Complex Scenes with Unified Color and LiDAR Reflectance Modeling Dynamic lidar re- simulation using compositional neural fields

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-06T14:51:42.674421Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:51:42.674421Z digest=sha256:ec00190eba8715828e704a9fe05997c0a0ba3452500757c9f39b08ac11389b48

Observation 848c050f-f41b-49f5-b4de-e3a1b60f77cc · outbound

This paper cites Factorized inverse path tracing for efficient and accurate material-lighting estima- tion.

InvRGB+L: Inverse Rendering of Complex Scenes with Unified Color and LiDAR Reflectance Modeling Factorized inverse path tracing for efficient and accurate material-lighting estima- tion

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:51:43.210594Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T14:51:42.679552Z digest=sha256:17ee0a1884bd4f6a795115edd65e7d8566078c56ee3f97efc57db91a2b58279b

Observation 21e59ecb-ae7b-44db-8505-fa8fa870b380 · outbound

This paper cites Airborne lidar intensity correction based on a new method for incidence angle correction for improving land-cover classification.

InvRGB+L: Inverse Rendering of Complex Scenes with Unified Color and LiDAR Reflectance Modeling Airborne lidar intensity correction based on a new method for incidence angle correction for improving land-cover classification

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:51:43.190995Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T14:51:42.684374Z digest=sha256:0b64e534a3f7646b8ddcb334224ce1b9cc17d3a2992a8d9a403b870be305d87b

Observation 4f4d6fdd-2915-4e27-8c84-a5e77f3ae80b · outbound

This paper cites Street gaussians: Modeling dynamic urban scenes with gaussian splatting.

InvRGB+L: Inverse Rendering of Complex Scenes with Unified Color and LiDAR Reflectance Modeling Street gaussians: Modeling dynamic urban scenes with gaussian splatting

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-06T14:51:42.688962Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:51:42.688962Z digest=sha256:3e5d3121674fd80722c55a86d033870187ce2a8d46796a3b655b15224a2debe2

Observation 83b2b155-dc76-4f72-911e-93e8925eb487 · outbound

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

InvRGB+L: Inverse Rendering of Complex Scenes with Unified Color and LiDAR Reflectance Modeling Unisim: A neural closed-loop sensor simulator

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-06T14:51:42.693638Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:51:42.693638Z digest=sha256:6e5e3f475fb30ebc59fcf5b45f2bac2f2e8ef3f0c86aa4ea413c31433610cbf2

Observation 703b7a03-2f64-4f86-a354-7b2caa3c3fce · outbound

This paper cites Inverserendernet: Learn- ing single image inverse rendering.

InvRGB+L: Inverse Rendering of Complex Scenes with Unified Color and LiDAR Reflectance Modeling Inverserendernet: Learn- ing single image inverse rendering

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:51:43.135288Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T14:51:42.698125Z digest=sha256:2911a96de804d68062f2d136d4779e885c589a79e40d52c8946ae35b3fa21837

Observation 37c3ea3e-bf8d-447f-ab04-c8a4bbe63a49 · outbound

This paper cites Rgb-x: Image decomposition and synthesis using material- and lighting-aware diffusion models.

InvRGB+L: Inverse Rendering of Complex Scenes with Unified Color and LiDAR Reflectance Modeling Rgb-x: Image decomposition and synthesis using material- and lighting-aware diffusion models

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:51:43.117216Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T14:51:42.702840Z digest=sha256:5300cdae67834298281e6318c503852bf7852964bf0c678049a378b40f11dbd8

Observation 0bf6dd88-3612-4120-9615-d47d5f83cb08 · outbound

This paper cites Em- light: Lighting estimation via spherical distribution approxi- mation.

InvRGB+L: Inverse Rendering of Complex Scenes with Unified Color and LiDAR Reflectance Modeling Em- light: Lighting estimation via spherical distribution approxi- mation

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:51:43.098189Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T14:51:42.707366Z digest=sha256:9cbc333e05b819bde7346fff397f6d0b1032ce965210611fdfc2b3f567cbcbd4

Observation 63d724da-ec40-465b-ad97-c75ec7542067 · outbound

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

InvRGB+L: Inverse Rendering of Complex Scenes with Unified Color and LiDAR Reflectance Modeling Efros, Eli Shecht- man, and Oliver Wang

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:51:43.081652Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T14:51:42.712277Z digest=sha256:1c10e17e8804aacb92e0b1318e7f19f66bd990dd0d3ae71b3459644e2cb8682b

Observation c3f4c9c9-5ad7-4574-be62-7a4f8bbb84ef · outbound

This paper cites Learning-based inverse rendering of complex indoor scenes with differentiable monte carlo raytracing.

InvRGB+L: Inverse Rendering of Complex Scenes with Unified Color and LiDAR Reflectance Modeling Learning-based inverse rendering of complex indoor scenes with differentiable monte carlo raytracing

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:51:43.064889Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T14:51:42.716799Z digest=sha256:90764e9ec1ee20a12a0403fe60cda67b61caaa742501d2193501eb2bfd2ae3ba

Observation 10774902-bbb7-4624-ab8e-35a5e2ad4106 · outbound

This paper cites I2-sdf: Intrinsic indoor scene reconstruction and editing via raytracing in neural sdfs.

InvRGB+L: Inverse Rendering of Complex Scenes with Unified Color and LiDAR Reflectance Modeling I2-sdf: Intrinsic indoor scene reconstruction and editing via raytracing in neural sdfs

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:51:43.049126Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T14:51:42.721258Z digest=sha256:9bce82d15a3aacd1ee94922d061ee436561806aa64c279cc160c54d1aaa97200

Observation db9b95db-9069-4570-b25f-4902b7200bdd · outbound

This paper cites Irisformer: Dense vision transform- ers for single-image inverse rendering in indoor scenes.

InvRGB+L: Inverse Rendering of Complex Scenes with Unified Color and LiDAR Reflectance Modeling Irisformer: Dense vision transform- ers for single-image inverse rendering in indoor scenes

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:51:43.031131Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T14:51:42.725849Z digest=sha256:3991ade4cb7435f2bbd562001ab3ffd01bb7bd72e17680e2b8bd6a265e54ceb5

Pith citing papers

Observation 4376b50b-747d-44a5-8631-067a4d55e6bd · inbound

LR-SGS: Robust LiDAR-Reflectance-Guided Salient Gaussian Splatting for Self-Driving Scene Reconstruction cites this paper.

LR-SGS: Robust LiDAR-Reflectance-Guided Salient Gaussian Splatting for Self-Driving Scene Reconstruction InvRGB+L: Inverse Rendering of Complex Scenes with Unified Color and LiDAR Reflectance Modeling

Reference 30

Resolution
verified exact
arxiv_id, observed 2026-05-15T12:09:59.610462Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-15T12:08:44.730727Z digest=sha256:aa1877805872e62600ac28205255be220f00d2e2564355833b97d7b37c1e4f13

Observation 9e5219c4-da3c-4e6d-bc72-ba173c28a99c · inbound

LR-SGS: Robust LiDAR-Reflectance-Guided Salient Gaussian Splatting for Self-Driving Scene Reconstruction cites this paper.

LR-SGS: Robust LiDAR-Reflectance-Guided Salient Gaussian Splatting for Self-Driving Scene Reconstruction InvRGB+L: Inverse Rendering of Complex Scenes with Unified Color and LiDAR Reflectance Modeling

Reference 30

Resolution
unresolved
no resolver link, observed 2026-07-14T22:12:49.510682Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T22:12:49.510682Z digest=sha256:3214e391da8641c6db90810e90c4b8243fd8c5db6275e306c3cfbd8c3247f9d1