Paper Citation Record · LEDGER

LiDPM: Rethinking Point Diffusion for Lidar Scene Completion

As of 20 August 2026, this Paper Citation Record lists 37 of 37 outbound references and 2 inbound Pith citation observations for arXiv:2504.17791.

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

pith.paper-citation-record.v1
2504.17791 v2

Coverage vector

measured 37 of 37 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T10:35:59.172903Z

measured 39 of 39 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T14:48:19.192447Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T04:16:48.865652Z

Reference resolution

37 of 37 outbound references displayed

verified exact0
verified fuzzy27
unresolved10
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b5a8bc08-4f45-44bf-b668-5e10a7f4679d · outbound

This paper cites V olumetric occupancy mapping with probabilis- tic depth completion for robotic navigation,.

LiDPM: Rethinking Point Diffusion for Lidar Scene Completion V olumetric occupancy mapping with probabilis- tic depth completion for robotic navigation,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:35:59.899654Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 28b9d978-8524-4d7d-b8b3-4793bc7bba3a · outbound

This paper cites Make it dense: Self-supervised geometric scan comple- tion of sparse 3D lidar scans in large outdoor environments,.

LiDPM: Rethinking Point Diffusion for Lidar Scene Completion Make it dense: Self-supervised geometric scan comple- tion of sparse 3D lidar scans in large outdoor environments,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:35:59.881443Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 1de35c74-b257-4095-b5d5-a464fe4054da · outbound

This paper cites Sparse fuse dense: Towards high quality 3D detection with depth completion,.

LiDPM: Rethinking Point Diffusion for Lidar Scene Completion Sparse fuse dense: Towards high quality 3D detection with depth completion,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:35:59.862228Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 01c6450a-7877-47f3-b5c9-74d38fb396bd · outbound

This paper cites Learning compact representations for lidar completion and generation,.

LiDPM: Rethinking Point Diffusion for Lidar Scene Completion Learning compact representations for lidar completion and generation,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:35:59.843256Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 3d427c5a-fe2e-4ace-bf17-c55a3cddde8c · outbound

This paper cites Scp: Scene completion pre-training for 3d object detection,.

LiDPM: Rethinking Point Diffusion for Lidar Scene Completion Scp: Scene completion pre-training for 3d object detection,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:35:59.823317Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 64f633f4-1eaa-4235-844f-31f359f30bf8 · outbound

This paper cites SALUDA: Surface-based automotive lidar unsupervised domain adaptation,.

LiDPM: Rethinking Point Diffusion for Lidar Scene Completion SALUDA: Surface-based automotive lidar unsupervised domain adaptation,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:35:59.805568Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 87be217a-c0af-4f96-a177-4f137a3acfd3 · outbound

This paper cites Domain generalization of 3D semantic segmentation in autonomous driving,.

LiDPM: Rethinking Point Diffusion for Lidar Scene Completion Domain generalization of 3D semantic segmentation in autonomous driving,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:35:59.787914Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 01ab8fbf-c50e-4a16-a2ef-f486db30a2c5 · outbound

This paper cites Complete & Label: A domain adaptation approach to semantic segmentation of lidar point clouds,.

LiDPM: Rethinking Point Diffusion for Lidar Scene Completion Complete & Label: A domain adaptation approach to semantic segmentation of lidar point clouds,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:35:59.770498Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 0aa80cd9-39be-485d-8d2c-51bd88dbb7f4 · outbound

This paper cites Scaling diffusion models to real-world 3d lidar scene completion,.

LiDPM: Rethinking Point Diffusion for Lidar Scene Completion Scaling diffusion models to real-world 3d lidar scene completion,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:35:59.751320Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation eef775ee-f14e-4f5d-8e3a-91512333bfe3 · outbound

This paper cites Denoising diffusion probabilistic models,.

LiDPM: Rethinking Point Diffusion for Lidar Scene Completion Denoising diffusion probabilistic models,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-16T10:35:59.006782Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e7e6acdb-91aa-4609-b8cd-b7b984780d84 · outbound

This paper cites 3d shape generation and completion through point-voxel diffusion,.

LiDPM: Rethinking Point Diffusion for Lidar Scene Completion 3d shape generation and completion through point-voxel diffusion,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:35:59.719891Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 8621fcba-7bb4-4475-91a5-a44bb8ce73db · outbound

This paper cites Dit-3d: Exploring plain diffusion transformers for 3d shape generation,.

LiDPM: Rethinking Point Diffusion for Lidar Scene Completion Dit-3d: Exploring plain diffusion transformers for 3d shape generation,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:35:59.702180Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation a021d142-bb37-416a-97f7-2df4b1bd8211 · outbound

This paper cites Semantickitti: A dataset for semantic scene under- standing of lidar sequences,.

LiDPM: Rethinking Point Diffusion for Lidar Scene Completion Semantickitti: A dataset for semantic scene under- standing of lidar sequences,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:35:59.681255Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation b0e78183-1085-4902-8862-03c5b0b04212 · outbound

This paper cites Diffusion probabilistic models for 3d point cloud generation,.

LiDPM: Rethinking Point Diffusion for Lidar Scene Completion Diffusion probabilistic models for 3d point cloud generation,

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-16T10:35:59.037617Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0dc5c7e0-9139-4938-91d7-84c0fbcd4b42 · outbound

This paper cites Sparse-to-dense: Depth prediction from sparse depth samples and a single image,.

LiDPM: Rethinking Point Diffusion for Lidar Scene Completion Sparse-to-dense: Depth prediction from sparse depth samples and a single image,

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-16T10:35:59.043905Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 14d642bb-7373-4b3a-bf24-ccfa2f89f138 · outbound

This paper cites Sparse and dense data with cnns: Depth completion and semantic segmentation,.

LiDPM: Rethinking Point Diffusion for Lidar Scene Completion Sparse and dense data with cnns: Depth completion and semantic segmentation,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:35:59.631589Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 86917dd4-c798-4f34-95d4-4c120a1c75f4 · outbound

This paper cites Marching cubes: A high resolution 3D surface construction algorithm,.

LiDPM: Rethinking Point Diffusion for Lidar Scene Completion Marching cubes: A high resolution 3D surface construction algorithm,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:35:59.611862Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 70150813-9667-4ebd-adc7-8bd5258ee106 · outbound

This paper cites LODE: Locally conditioned eikonal implicit scene completion from sparse lidar,.

LiDPM: Rethinking Point Diffusion for Lidar Scene Completion LODE: Locally conditioned eikonal implicit scene completion from sparse lidar,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:35:59.587398Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 22867e91-3b88-43c4-a245-99538d3a3cc1 · outbound

This paper cites LMSCNet: Lightweight multiscale 3D semantic completion,.

LiDPM: Rethinking Point Diffusion for Lidar Scene Completion LMSCNet: Lightweight multiscale 3D semantic completion,

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-16T10:35:59.070303Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0ff3ce29-daf8-4510-ad63-42352e16bdb2 · outbound

This paper cites Scpnet: Semantic scene completion on point cloud,.

LiDPM: Rethinking Point Diffusion for Lidar Scene Completion Scpnet: Semantic scene completion on point cloud,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:35:59.553761Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation a6f06e62-fa6c-47af-bb3b-a965b678b980 · outbound

This paper cites Semantic scene completion from a single depth image,.

LiDPM: Rethinking Point Diffusion for Lidar Scene Completion Semantic scene completion from a single depth image,

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-16T10:35:59.082331Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f474c1b0-5870-4510-b0dc-12fbe024cd83 · outbound

This paper cites Sparse single sweep lidar point cloud segmentation via learning contextual shape priors from scene completion,.

LiDPM: Rethinking Point Diffusion for Lidar Scene Completion Sparse single sweep lidar point cloud segmentation via learning contextual shape priors from scene completion,

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-16T10:35:59.087846Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 35113fee-d7ee-4a94-84f9-e0858fcef2ac · outbound

This paper cites 3d semantic scene completion: A survey,.

LiDPM: Rethinking Point Diffusion for Lidar Scene Completion 3d semantic scene completion: A survey,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:35:59.501400Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 8b5ada78-7537-4f68-a269-9b9ad67b7ab0 · outbound

This paper cites Semantic scene completion using local deep implicit functions on lidar data,.

LiDPM: Rethinking Point Diffusion for Lidar Scene Completion Semantic scene completion using local deep implicit functions on lidar data,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:35:59.483096Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 5995623e-f8b7-4946-8e5d-929613575a2f · outbound

This paper cites Learning gradient fields for shape generation,.

LiDPM: Rethinking Point Diffusion for Lidar Scene Completion Learning gradient fields for shape generation,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:35:59.461681Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 7f73f90e-7f10-4433-b779-acd011fde4e7 · outbound

This paper cites Pcn: Point completion network,.

LiDPM: Rethinking Point Diffusion for Lidar Scene Completion Pcn: Point completion network,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:35:59.440436Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 8b460681-a9fa-4df7-a0da-7b4c6beea4c6 · outbound

This paper cites NeeDrop: Self- supervised shape representation from sparse point clouds using needle dropping,.

LiDPM: Rethinking Point Diffusion for Lidar Scene Completion NeeDrop: Self- supervised shape representation from sparse point clouds using needle dropping,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:35:59.416532Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 2cdab79a-91c4-4df7-9b01-67ce29936974 · outbound

This paper cites Deep surface reconstruction from point clouds with visibility information,.

LiDPM: Rethinking Point Diffusion for Lidar Scene Completion Deep surface reconstruction from point clouds with visibility information,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:35:59.394246Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation ac419b93-067f-49f1-a949-016b53cd864d · outbound

This paper cites Poisson surface reconstruction for lidar odometry and mapping,.

LiDPM: Rethinking Point Diffusion for Lidar Scene Completion Poisson surface reconstruction for lidar odometry and mapping,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:35:59.371887Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 644b54b0-0cf3-409f-be1e-64e805db329e · outbound

This paper cites Neural kernel surface reconstruction,.

LiDPM: Rethinking Point Diffusion for Lidar Scene Completion Neural kernel surface reconstruction,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:35:59.348592Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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

This paper cites Distilling Diffusion Models to Efficient 3D LiDAR Scene Completion.

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 31d8d995-66cf-4a59-9095-6d876eddc58a · outbound

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

LiDPM: Rethinking Point Diffusion for Lidar Scene Completion DiffSSC: Semantic LiDAR Scan Completion using Denoising Diffusion Probabilistic Models

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-16T10:35:59.141941Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3c4fdef1-e1e3-460e-b4d9-8e09231fbd4d · outbound

This paper cites Classifier-free diffusion guidance,.

LiDPM: Rethinking Point Diffusion for Lidar Scene Completion Classifier-free diffusion guidance,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:35:59.327183Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation f3e4b30f-e5ff-48f4-8092-43e88f52f4db · outbound

This paper cites Adam: A method for stochastic optimiza- tion,.

LiDPM: Rethinking Point Diffusion for Lidar Scene Completion Adam: A method for stochastic optimiza- tion,

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-16T10:35:59.153627Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8cae2395-1dff-4e85-a671-f6386792b2da · outbound

This paper cites 4D spatio-temporal ConvNets: Minkowski convolutional neural networks,.

LiDPM: Rethinking Point Diffusion for Lidar Scene Completion 4D spatio-temporal ConvNets: Minkowski convolutional neural networks,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:35:59.292678Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 17d94b94-d93d-4872-97ee-99a7396119f6 · outbound

This paper cites DPM-Solver: A fast ODE solver for diffusion probabilistic model sampling in around 10 steps,.

LiDPM: Rethinking Point Diffusion for Lidar Scene Completion DPM-Solver: A fast ODE solver for diffusion probabilistic model sampling in around 10 steps,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:35:59.273413Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation ea7918ad-0450-4c73-867c-2c51ee3590b5 · outbound

This paper cites Lmscnet: Lightweight multiscale 3d semantic completion,.

LiDPM: Rethinking Point Diffusion for Lidar Scene Completion Lmscnet: Lightweight multiscale 3d semantic completion,

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-16T10:35:59.172903Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 83212143-e7f4-436e-ac00-e405a2d376d0 · inbound

Monocular Semantic Scene Completion via Masked Recurrent Networks cites this paper.

Monocular Semantic Scene Completion via Masked Recurrent Networks LiDPM: Rethinking Point Diffusion for Lidar Scene Completion

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-06T14:48:19.192447Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7f8ea2f5-9f0d-4380-a87a-61385638d6f5 · inbound

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

La La LiDAR: Large-Scale Layout Generation from LiDAR Data LiDPM: Rethinking Point Diffusion for Lidar Scene Completion

Reference 2022

Resolution: verified exact; local_arxiv, observed 2026-08-06T04:16:48.937131Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.