Paper Citation Record · LEDGER

Distilling Diffusion Models to Efficient 3D LiDAR Scene Completion

As of 21 August 2026, this Paper Citation Record lists 55 of 55 outbound references and 2 inbound Pith citation observations for arXiv:2412.03515.

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

pith.paper-citation-record.v1
2412.03515 v3

Coverage vector

measured 55 of 55 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T22:24:11.868543Z

measured 57 of 57 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T10:35:59.136568Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T04:16:48.700691Z

Reference resolution

55 of 55 outbound references displayed

verified exact0
verified fuzzy49
unresolved5
parse uncertain0
malformed identifier1
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 7e4f70b8-0e0f-409d-9a7c-38b6055fb570 · outbound

This paper cites Se- mantickitti: A Dataset For Semantic Scene Understanding Of Lidar Sequences.

Distilling Diffusion Models to Efficient 3D LiDAR Scene Completion Se- mantickitti: A Dataset For Semantic Scene Understanding Of Lidar Sequences

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:24:13.142590Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 28ac27a9-7537-4d40-8b21-9cb30a6de0c6 · outbound

This paper cites Optimum Design of Chamfer Distance Transforms.

Distilling Diffusion Models to Efficient 3D LiDAR Scene Completion Optimum Design of Chamfer Distance Transforms

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:24:13.121099Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation ab40401c-0e08-493b-90ca-10b68a3e351a · outbound

This paper cites DiffSSC: Semantic LiDAR Scan Completion using Denoising Diffusion Probabilistic Models.

Distilling Diffusion Models to Efficient 3D LiDAR Scene Completion DiffSSC: Semantic LiDAR Scan Completion using Denoising Diffusion Probabilistic Models

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-11T22:24:11.489368Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 764a447b-4a37-4cbc-a6d6-ca5c82f4b013 · outbound

This paper cites Deep Convolutional Compressed Sensing For Lidar Depth Completion.

Distilling Diffusion Models to Efficient 3D LiDAR Scene Completion Deep Convolutional Compressed Sensing For Lidar Depth Completion

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:24:13.103360Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 5d0af51f-d46e-46b4-82a8-93514ddf0b72 · outbound

This paper cites 4D Spatio-Temporal ConvNets: Minkowski Convolutional Neu- ral Networks.

Distilling Diffusion Models to Efficient 3D LiDAR Scene Completion 4D Spatio-Temporal ConvNets: Minkowski Convolutional Neu- ral Networks

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:24:13.085505Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 7db320a9-6f9a-40d9-ab89-886722bcaf8a · outbound

This paper cites Scancomplete: Large- Scale Scene Completion And Semantic Segmentation For 3d Scans.

Distilling Diffusion Models to Efficient 3D LiDAR Scene Completion Scancomplete: Large- Scale Scene Completion And Semantic Segmentation For 3d Scans

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:24:13.068535Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 419e4582-8abe-4885-9ccf-98e5e010693f · outbound

This paper cites Confidence Propagation Through CNNs For Guided Sparse Depth Regression.

Distilling Diffusion Models to Efficient 3D LiDAR Scene Completion Confidence Propagation Through CNNs For Guided Sparse Depth Regression

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:24:13.051652Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation e7adaabc-6c13-4749-a9da-8f11b3f14545 · outbound

This paper cites A Point Set Generation Network for 3d Object Reconstruction From a Single Image.

Distilling Diffusion Models to Efficient 3D LiDAR Scene Completion A Point Set Generation Network for 3d Object Reconstruction From a Single Image

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:24:13.034757Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 6cc6df57-ce2e-4c4f-a35a-81eb240a6e0d · outbound

This paper cites Lidar and Monocular Camera Fusion: On-road Depth Completion For Autonomous Driving.

Distilling Diffusion Models to Efficient 3D LiDAR Scene Completion Lidar and Monocular Camera Fusion: On-road Depth Completion For Autonomous Driving

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:24:13.000696Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 2cbeb74c-eead-498b-aa1c-afa9ca8b0d47 · outbound

This paper cites Denoising Dif- fusion Probabilistic Models.

Distilling Diffusion Models to Efficient 3D LiDAR Scene Completion Denoising Dif- fusion Probabilistic Models

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:24:12.973617Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 5cec648e-7e55-4527-98f5-f64145908f10 · outbound

This paper cites LoRA: Low-Rank Adaptation Of Large Language Models.

Distilling Diffusion Models to Efficient 3D LiDAR Scene Completion LoRA: Low-Rank Adaptation Of Large Language Models

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:24:12.953281Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 7d6d9445-983a-415e-91fc-7a8728008b07 · outbound

This paper cites 3D Virtual Intersection Sight Distance Analysis Using LiDAR Data.

Distilling Diffusion Models to Efficient 3D LiDAR Scene Completion 3D Virtual Intersection Sight Distance Analysis Using LiDAR Data

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:24:12.933765Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 9a12efd9-1793-4b94-ae8d-88b328ca988a · outbound

This paper cites Consistency Trajectory Mod- els: Learning Probability Flow ODE Trajectory of Diffusion.

Distilling Diffusion Models to Efficient 3D LiDAR Scene Completion Consistency Trajectory Mod- els: Learning Probability Flow ODE Trajectory of Diffusion

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:24:12.914704Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 98678075-fd90-489f-bcdb-d174fa4ae165 · outbound

This paper cites Diffusion Probabilistic Models for Scene-Scale 3D Categorical Data.

Distilling Diffusion Models to Efficient 3D LiDAR Scene Completion Diffusion Probabilistic Models for Scene-Scale 3D Categorical Data

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-11T22:24:11.579041Z

Source-reported events for the cited work

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Observation e28696c4-bb2b-4146-b618-68c2035ae146 · outbound

This paper cites Semcity: Semantic Scene Gen- eration With Triplane Diffusion.

Distilling Diffusion Models to Efficient 3D LiDAR Scene Completion Semcity: Semantic Scene Gen- eration With Triplane Diffusion

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:24:12.895633Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 2697e543-44e4-4698-9d6b-a971bbef5db9 · outbound

This paper cites Lode: Locally Con- ditioned Eikonal Implicit Scene Completion From Sparse Li- dar.

Distilling Diffusion Models to Efficient 3D LiDAR Scene Completion Lode: Locally Con- ditioned Eikonal Implicit Scene Completion From Sparse Li- dar

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:24:12.875650Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 40f01800-ffcf-46d0-9f2a-a26723cf3fb2 · outbound

This paper cites Emer- gent Visual Sensors For Autonomous Vehicles.IEEE Trans- actions on Intelligent Transportation Systems , 24(5):4716– 4737, 2023.

Distilling Diffusion Models to Efficient 3D LiDAR Scene Completion Emer- gent Visual Sensors For Autonomous Vehicles.IEEE Trans- actions on Intelligent Transportation Systems , 24(5):4716– 4737, 2023

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:24:12.857069Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 4a8ecea9-da29-44af-a815-418d703cba35 · outbound

This paper cites V oxformer: Sparse V oxel Transformer For Camera- based 3d Semantic Scene Completion.

Distilling Diffusion Models to Efficient 3D LiDAR Scene Completion V oxformer: Sparse V oxel Transformer For Camera- based 3d Semantic Scene Completion

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:24:12.833870Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation c61c89d9-a8b0-43bc-86dd-2c0280608cc4 · outbound

This paper cites Luciddreamer: Towards High- fidelity Text-to-3d Generation Via Interval Score Matching.

Distilling Diffusion Models to Efficient 3D LiDAR Scene Completion Luciddreamer: Towards High- fidelity Text-to-3d Generation Via Interval Score Matching

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:24:12.814204Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 227b5759-f916-4bd8-bcee-d54b6f10660c · outbound

This paper cites Kitti-360: A Novel Dataset And Benchmarks For Urban Scene understanding in 2d And 3d.

Distilling Diffusion Models to Efficient 3D LiDAR Scene Completion Kitti-360: A Novel Dataset And Benchmarks For Urban Scene understanding in 2d And 3d

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:24:12.786140Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 2441544e-f924-4ff4-84bc-7a879823149f · outbound

This paper cites Dpm-solver: A Fast Ode Solver For Dif- fusion Probabilistic Model Sampling In Around 10 Steps.

Distilling Diffusion Models to Efficient 3D LiDAR Scene Completion Dpm-solver: A Fast Ode Solver For Dif- fusion Probabilistic Model Sampling In Around 10 Steps

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:24:12.764158Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation c86fff12-aa65-4fa5-82c3-e4490e0b6501 · outbound

This paper cites Diff-Instruct: A Univer- sal Approach for Transferring Knowledge From Pre-trained Diffusion Models.

Distilling Diffusion Models to Efficient 3D LiDAR Scene Completion Diff-Instruct: A Univer- sal Approach for Transferring Knowledge From Pre-trained Diffusion Models

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:24:12.745658Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 38a8c414-803f-4580-8227-3a99977260c5 · outbound

This paper cites Scaledreamer: Scalable Text-to-3d Synthesis With Asynchronous Score Distillation.

Distilling Diffusion Models to Efficient 3D LiDAR Scene Completion Scaledreamer: Scalable Text-to-3d Synthesis With Asynchronous Score Distillation

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:24:12.724328Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation af9705c1-5b2e-4054-ae3a-37c14e81a56a · outbound

This paper cites The Jensen-Shannon Divergence.

Distilling Diffusion Models to Efficient 3D LiDAR Scene Completion The Jensen-Shannon Divergence

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:24:12.704553Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation bbd2b6b3-4815-4934-9da1-9580be67d9ce · outbound

This paper cites State-of-the-Art Analysis Of The Perfor- mance Of The Sensors Utilized In Autonomous Vehicles In Extreme Conditions.

Distilling Diffusion Models to Efficient 3D LiDAR Scene Completion State-of-the-Art Analysis Of The Perfor- mance Of The Sensors Utilized In Autonomous Vehicles In Extreme Conditions

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:24:12.679709Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 3bf75029-179a-4b94-b6c2-dcdc7cac63ad · outbound

This paper cites Nerf: Representing scenes as neural radiance fields for view syn- thesis.

Distilling Diffusion Models to Efficient 3D LiDAR Scene Completion Nerf: Representing scenes as neural radiance fields for view syn- thesis

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:24:12.656580Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation c7a52052-38dc-4bda-bbd1-61e33d7fa5f8 · outbound

This paper cites Lidar Data Synthe- sis With Denoising Diffusion Probabilistic Models.

Distilling Diffusion Models to Efficient 3D LiDAR Scene Completion Lidar Data Synthe- sis With Denoising Diffusion Probabilistic Models

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:24:12.634454Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 94b440c7-8804-48fb-a174-ef359b12f942 · outbound

This paper cites Scaling Diffusion Models To Real-World 3D LiDAR Scene Completion.

Distilling Diffusion Models to Efficient 3D LiDAR Scene Completion Scaling Diffusion Models To Real-World 3D LiDAR Scene Completion

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:24:12.613931Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 169851c6-9990-48b3-96aa-dd88273ea738 · outbound

This paper cites Towards Real- istic Scene Generation With LiDAR Diffusion Models.

Distilling Diffusion Models to Efficient 3D LiDAR Scene Completion Towards Real- istic Scene Generation With LiDAR Diffusion Models

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:24:12.587821Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 4c188f98-ff86-4f4c-924a-7b8b249c7823 · outbound

This paper cites Lmscnet: Lightweight Multiscale 3d Semantic Completion.

Distilling Diffusion Models to Efficient 3D LiDAR Scene Completion Lmscnet: Lightweight Multiscale 3d Semantic Completion

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:24:12.569704Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 250ee0e4-bfe0-4b03-9fb7-cc9be6ee1575 · outbound

This paper cites 3D Semantic Scene Completion: A Survey.

Distilling Diffusion Models to Efficient 3D LiDAR Scene Completion 3D Semantic Scene Completion: A Survey

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:24:12.551331Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 4d6b55bc-1c12-4ccf-a1e3-d366c75164c4 · outbound

This paper cites Scanline Resolution-Invariant Depth Completion Us- ing A Single Image And Sparse LiDAR Point Cloud.

Distilling Diffusion Models to Efficient 3D LiDAR Scene Completion Scanline Resolution-Invariant Depth Completion Us- ing A Single Image And Sparse LiDAR Point Cloud

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:24:12.531944Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 4fe8da14-ea7e-40c6-84e1-1ccd48a7f3ed · outbound

This paper cites Progressive Distillation for Fast Sampling of Diffusion Models.

Distilling Diffusion Models to Efficient 3D LiDAR Scene Completion Progressive Distillation for Fast Sampling of Diffusion Models

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:24:12.514069Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation c2d384d8-df0e-4de1-9dbb-8474c4278dd0 · outbound

This paper cites Denoising Diffusion Implicit Models.

Distilling Diffusion Models to Efficient 3D LiDAR Scene Completion Denoising Diffusion Implicit Models

Reference 34

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Source-reported events for the cited work

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Observation 40833368-e565-41d8-9ebd-fa9adcdfc76f · outbound

This paper cites Semantic Scene Com- pletion From A Single Depth Image.

Distilling Diffusion Models to Efficient 3D LiDAR Scene Completion Semantic Scene Com- pletion From A Single Depth Image

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:24:12.491889Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 8b685122-10eb-4b97-9b92-5cd3e4c0ba55 · outbound

This paper cites Score-Based Generative Modeling through Stochastic Differential Equa- tions.

Distilling Diffusion Models to Efficient 3D LiDAR Scene Completion Score-Based Generative Modeling through Stochastic Differential Equa- tions

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:24:12.471908Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 16d51279-7218-410a-bcda-9c1d9ada9ce7 · outbound

This paper cites Consistency Models.

Distilling Diffusion Models to Efficient 3D LiDAR Scene Completion Consistency Models

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:24:12.451655Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 954dcd3d-8cad-4a70-8a4b-69ba6afa1981 · outbound

This paper cites Make It Dense: Self-Supervised Geometric Scan Completion of Sparse 3d Lidar Scans In Large Outdoor Environments.

Distilling Diffusion Models to Efficient 3D LiDAR Scene Completion Make It Dense: Self-Supervised Geometric Scan Completion of Sparse 3d Lidar Scans In Large Outdoor Environments

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:24:12.433448Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 674ceae0-872b-4578-b211-4a422fbc2556 · outbound

This paper cites Semantic Scene Completion With Cleaner Self.

Distilling Diffusion Models to Efficient 3D LiDAR Scene Completion Semantic Scene Completion With Cleaner Self

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:24:12.413459Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 6456e33d-f5d1-4599-b9b6-87e90fc5710a · outbound

This paper cites Rectified Diffusion: Straightness Is Not Your Need in Rectified Flow.

Distilling Diffusion Models to Efficient 3D LiDAR Scene Completion Rectified Diffusion: Straightness Is Not Your Need in Rectified Flow

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-11T22:24:11.756836Z

Source-reported events for the cited work

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Observation 9173fb71-562f-4f72-9b59-3af8829cd127 · outbound

This paper cites Taming Mode Collapse In Score Distillation for Text-to-3d Generation.

Distilling Diffusion Models to Efficient 3D LiDAR Scene Completion Taming Mode Collapse In Score Distillation for Text-to-3d Generation

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:24:12.393103Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation d6c94cd4-3e03-4f67-a5c1-ba7e72c301b4 · outbound

This paper cites ProlificDreamer: High-Fidelity And Diverse Text-to-3D Generation With Variational Score Distillation.

Distilling Diffusion Models to Efficient 3D LiDAR Scene Completion ProlificDreamer: High-Fidelity And Diverse Text-to-3D Generation With Variational Score Distillation

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:24:12.367547Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 86bcb1a5-2858-488f-abae-b5f6a6c1afb6 · outbound

This paper cites Scene Completeness- Aware Lidar Depth Completion For Driving Scenario.

Distilling Diffusion Models to Efficient 3D LiDAR Scene Completion Scene Completeness- Aware Lidar Depth Completion For Driving Scenario

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:24:12.346218Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation cf91edb8-5013-44f5-8be0-d48a6b24375a · outbound

This paper cites Scpnet: Semantic Scene Completion On Point Cloud.

Distilling Diffusion Models to Efficient 3D LiDAR Scene Completion Scpnet: Semantic Scene Completion On Point Cloud

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:24:12.327395Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 059eb8df-b5bd-42f6-8076-4c04728b9ece · outbound

This paper cites Learning Compact Representations for Lidar Com- pletion and Generation.

Distilling Diffusion Models to Efficient 3D LiDAR Scene Completion Learning Compact Representations for Lidar Com- pletion and Generation

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:24:12.302363Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 2cb44e3a-ffcf-44fd-80be-3aab76955c15 · outbound

This paper cites Learning Compact Representations For Lidar Com- pletion and Generation.

Distilling Diffusion Models to Efficient 3D LiDAR Scene Completion Learning Compact Representations For Lidar Com- pletion and Generation

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:24:12.279385Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation f8c25951-7ec9-43ba-9eca-b5019273a010 · outbound

This paper cites Depth Completion from Sparse Li- dar Data With Depth-Normal Constraints.

Distilling Diffusion Models to Efficient 3D LiDAR Scene Completion Depth Completion from Sparse Li- dar Data With Depth-Normal Constraints

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:24:12.254628Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 90926aac-de1e-451b-ad52-7a1925f8a67e · outbound

This paper cites Bi-SSC: Geometric-Semantic Bidirectional Fusion for Camera-based 3D Semantic Scene Completion.

Distilling Diffusion Models to Efficient 3D LiDAR Scene Completion Bi-SSC: Geometric-Semantic Bidirectional Fusion for Camera-based 3D Semantic Scene Completion

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:24:12.233140Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 7398a669-9f3f-4bcc-834d-b4f41d799d3f · outbound

This paper cites Consistency Flow Matching: Defining Straight Flows with Velocity Consistency.

Distilling Diffusion Models to Efficient 3D LiDAR Scene Completion Consistency Flow Matching: Defining Straight Flows with Velocity Consistency

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-11T22:24:11.825993Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 613ab63b-6ccb-46e7-83b2-2f344a2e5d35 · outbound

This paper cites Dense Depth Posterior (DDP) From Single Image And Sparse Range.

Distilling Diffusion Models to Efficient 3D LiDAR Scene Completion Dense Depth Posterior (DDP) From Single Image And Sparse Range

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:24:12.209148Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 189e6ad5-ef0e-42e5-9269-cf54d9042d26 · outbound

This paper cites Improved Distribution Matching Distillation For Fast Image Synthesis.

Distilling Diffusion Models to Efficient 3D LiDAR Scene Completion Improved Distribution Matching Distillation For Fast Image Synthesis

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:24:12.179630Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation d705767f-85ca-402c-87c7-689f3ceb3271 · outbound

This paper cites One-step Diffusion With Distribution Matching Distillation.

Distilling Diffusion Models to Efficient 3D LiDAR Scene Completion One-step Diffusion With Distribution Matching Distillation

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:24:12.147174Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 73416730-1f1b-4ce4-848d-756e350855c0 · outbound

This paper cites Grayscale And Normal Guided Depth Completion With A Low-cost LiDAR.

Distilling Diffusion Models to Efficient 3D LiDAR Scene Completion Grayscale And Normal Guided Depth Completion With A Low-cost LiDAR

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:24:12.120667Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 0ddf9875-da26-4e86-8389-685f740ee96a · outbound

This paper cites Distribution Backtracking Builds A Faster Convergence Trajectory for One-step Diffusion Distillation.

Distilling Diffusion Models to Efficient 3D LiDAR Scene Completion Distribution Backtracking Builds A Faster Convergence Trajectory for One-step Diffusion Distillation

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:24:12.092864Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 6a280bcd-d8dd-40bd-8375-750d6552954a · outbound

This paper cites car,” “road,.

Distilling Diffusion Models to Efficient 3D LiDAR Scene Completion car,” “road,

Reference 55

Resolution: malformed identifier; raw_fallback, observed 2026-08-11T22:24:12.071250Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Pith citing papers

Observation 516959c6-cb2f-44eb-bff0-bec5aa6919df · inbound

LiDPM: Rethinking Point Diffusion for Lidar Scene Completion cites this paper.

LiDPM: Rethinking Point Diffusion for Lidar Scene Completion Distilling Diffusion Models to Efficient 3D LiDAR Scene Completion

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-16T10:35:59.136568Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 64a9cdf5-aa72-44d5-9287-14a0d2b376de · inbound

La La LiDAR: Large-Scale Layout Generation from LiDAR Data cites this paper.

La La LiDAR: Large-Scale Layout Generation from LiDAR Data Distilling Diffusion Models to Efficient 3D LiDAR Scene Completion

Reference 184

Resolution: verified exact; local_arxiv, observed 2026-08-06T04:16:48.759051Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.