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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 2026-08-14T06:32:32.682623+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=sha256:6d7d7de8a855c7b561e37dc00a1f4c124b4053a525f544b640823216ca1d8cee

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=sha256:45a4ab6b0b1112f84723743adf2380dde611ff33054fb65886f2924e4c9bfea6

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T14:51:41.721178Z digest=sha256:afeee115e2fe836d9725e01c97c3d1290c8358116775a7a4d04060547a7caf85

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T14:51:41.848174Z digest=sha256:b01447748469fa2a196fc51a85eda9a6cc286ca6a23c07e1ce85a10f9a2c4be7

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:ea8b8efcd2900bcdf50485a44beb8aa7c6dda9003d470f6ba4d8f1fb3ebd85ac

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=sha256:3ea51391fca8d2f7415ea15892f2ecf07eded3256b7e0ecb46beb896e0028acf

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T14:51:42.274615Z digest=sha256:ed363dfbf5e677b248d4b8bd4fa442559252ff77a2bed95da209a8e6bdcb011b

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T14:51:42.327126Z digest=sha256:bde2e41a070f3fc708662991056fdb62752d32a97ef48c5d935905c39d1ccb09

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T14:51:42.467142Z digest=sha256:7256ba381fff54376468bc669191e76ea64ab6a6f299aa9305813fc410c459b5

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T14:51:42.476166Z digest=sha256:af20594174163a1281194949ac9c1a4126c7b578c51378981ffd2b5cb6c03688

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T14:51:42.481138Z digest=sha256:b88902513104e60116d6afb8d68adab847ec1ce11ab14b81cb2377b39843e6cc

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T14:51:42.488253Z digest=sha256:49f2b346c9713aad63f879c3fc72eb5f7c72b3a3574b9510f336ec3435046657

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T14:51:42.494492Z digest=sha256:1bf64dd2393acf8fbbbd3486fd9afa159dea26740246447f76d74da0586a510f

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T14:51:42.499516Z digest=sha256:7808e4c9f43c635a8f083a3e3a0f2dd5398c9a3e687e01aa94a55d9b038bbba4

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T14:51:42.509344Z digest=sha256:588a9aff3bd052dcbe5fa6d2389adeafc95fea01bfc496c41c481c7bb6fdebd1

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T14:51:42.515008Z digest=sha256:a4706c584488f93705dcbbc16ada95eed93ec99fccf232a371a3201d6acf734e

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T14:51:42.520694Z digest=sha256:a6e4c50d20fc9fc360f863bb93d70e7d130bdbdf90e32fa793d0dd5c8f0aad92

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T14:51:42.526741Z digest=sha256:87dc457e5c1340111222760f36283a8517d4cfe885ea450d96fa96a7c6b81e9e

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T14:51:42.531752Z digest=sha256:763899e1c62d1aaaba7516da2cf29d898ffa749d42a76adf27f9669ebd81c7fa

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T14:51:42.536373Z digest=sha256:c105664783916a2ee932ba9d2d25e5d1a95fde2608d588df3761de80532586ad

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T14:51:42.540506Z digest=sha256:711848e335a5160db2745ade915802e694c26a1f4987b85cd159a511599da030

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T14:51:42.544965Z digest=sha256:c2c2cdd1e463e5263e06c3d35d1b7c36b8aed387873b5b7aebfae2b78de2be5b

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:d3dc68cc5a060c1281d28a27622aaa0ed0b12be4291ed8fdd5815dcdc851444f

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=sha256:936db625feb9a3f0e13a80ed2cdc6d1b9ff79cdad4679b5a5c9b378542b128a8

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:b51007e2c457565f62ee4039d6e1984f73819570c40d59e89ed2b0bc05bce7e8

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T14:51:42.565169Z digest=sha256:d807c5bae0329a2b8d83fae904d7098a83333ab433ca875fd1978f7c423b1e69

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T14:51:42.570835Z digest=sha256:c7ff91a659c2a74abf1cae619f6ca87257ffbf228a635d5c8afd8885f649886b

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T14:51:42.577294Z digest=sha256:c3ae6a1cfdc3a03fb690a35412c52d86f069f666412a36fd17eaacba7c7a6277

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T14:51:42.581818Z digest=sha256:a49cd606f3f8ad99e686d590ab3893d578290df5022e85643327ded152f77808

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T14:51:42.586489Z digest=sha256:da192d4275906d708fd14ec63bce654a1a5a9276e09422b8fa1891777b53cfd5

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T14:51:42.591539Z digest=sha256:f8c92beedd7bc2d09ab3aedbe0926079493a57a663820b87915a40f746d36eb7

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:c7a373b325dfcf3770f8c8c23c4b53ffc495f4155f8b5cec3c1ef0f6c56f6042

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T14:51:42.602484Z digest=sha256:901982590edf1d7cbbff2a88fe554d8107cb58381c937cea734e9e6eba18cbf9

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T14:51:42.606774Z digest=sha256:df94640eb9710dc990b14b2158d679e83b84ba7f8603b56a3ed9105a55ef6ce2

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T14:51:42.611197Z digest=sha256:195741c9eec2e69f267c7a740b5735307c3e98d95b7b9234b3dc3bea2cc35177

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:ce497ca2740e69a1d50b7b1a9bf0d4b96ece8ff7626798c6ef684c6d5643c43d

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T14:51:42.621498Z digest=sha256:854bb9b9d0337dd4162c00785359e40667b985bc1b2d0781ea45464869ce4c80

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T14:51:42.627004Z digest=sha256:e01bc24f3e77d124f071e0020b829664efefa114c5c4c6a013a4c28d18c417ef

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T14:51:42.636943Z digest=sha256:efe57ee6ead267fedf9e7e23b36401fe28c575dc58f2a1a145cb5be9efacfef2

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T14:51:42.642408Z digest=sha256:e6828d0dc911784f923a3faa8945fdfdf95ce1f7d38aa23c8924d8a400e840b8

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=sha256:57611a8a09c7abfc83dc3e9b5a69515b723d042678f390606a26831531f76b3d

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=sha256:8dfb3239c7806c34ba4e8cd9709c87e33df9ee8b8a56d167b534e8b697dda93a

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T14:51:42.668104Z digest=sha256:f239bf292996796187a25a6b4a73520aaa7e97b4ac154b817080550300d89248

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:a331279e843f8ed11f7c5527ef4f036edff67fa144d2307b6edcc12fbf44eec4

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T14:51:42.679552Z digest=sha256:0f435276978d5455e1ea1207c13f0d6af29a7e9f59d4f81cfcabe6cd671020af

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T14:51:42.684374Z digest=sha256:479c39e37b5a0b9d53480fad1472d86e1b93486ff3ab9ca06df30ae382a38dde

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=sha256:85df4960550b2bb2878bb21bd592a463c2d3e4bd87a4e314af7a36212a934a1e

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:e64871f23065dc73652c11d85a6cb30e2b2ce9391b54c136b4f3d21d70bf1f02

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T14:51:42.698125Z digest=sha256:1ccc3bed8d70fa6d53f835483a43ae72a77bd8df6e7ce4ab2da153b15b2c5b6e

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T14:51:42.702840Z digest=sha256:94acd61e531e98f11a76245d16a300660dfb9727b9400417e2135ea67960529f

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T14:51:42.707366Z digest=sha256:fde5ac211c6f81a0e13ac7cf5997719a5ab25176df12a9afbd7ad4d574d2447f

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T14:51:42.712277Z digest=sha256:c021248545f1b02e66286b7d3687164c5768b4ae528d60c28b5e7ba07f945d9b

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T14:51:42.716799Z digest=sha256:44bdff3fa7d56ad619748ba046f987c79de4f80f30714cdf3e4d4e767708d351

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T14:51:42.721258Z digest=sha256:989b6414a629c4d385affb734194514bf7200dacd70f89052aa368360d76f4b8

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T14:51:42.725849Z digest=sha256:50154b000cd3104680e9783b0a67df581043f573c4c901b2fd83a77c2d2be56d

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-15T12:08:44.730727Z digest=sha256:5a87b0eb27c0faef3decc99f2e0eecf9b6ad662c8810f685fbaed17e61755ef2

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=sha256:1c6f20c8514a45ae2dc9fff0380de93525a3500732bed54081703b2cbcb1dab5