Paper Citation Record · LEDGER

Towards Learning to Complete Anything in Lidar

As of 21 August 2026, this Paper Citation Record lists 22 of 22 outbound references and 0 inbound Pith citation observations for arXiv:2504.12264.

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

pith.paper-citation-record.v1
2504.12264 v1

Coverage vector

measured 22 of 22 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T12:40:10.210417Z

measured 22 of 22 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

22 of 22 outbound references displayed

verified exact0
verified fuzzy7
unresolved13
parse uncertain0
malformed identifier2
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 55115178-a383-4345-919c-e068772eda8e · outbound

This paper cites 3D-LDM: Neural Implicit 3D Shape Generation with Latent Diffusion Models.

Towards Learning to Complete Anything in Lidar 3D-LDM: Neural Implicit 3D Shape Generation with Latent Diffusion Models

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-16T12:40:10.128678Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f3ed1ce3-de67-4604-a25f-2343a74e0cfb · outbound

This paper cites SAM 2: Segment Anything in Images and Videos.

Towards Learning to Complete Anything in Lidar SAM 2: Segment Anything in Images and Videos

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-16T12:40:10.138586Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5ac3a03b-3a14-4c22-8fb8-4d7116abaa6e · outbound

This paper cites However, (1) we assume no access to semantic labels, and (2) performing such registration is error-prone in our setting.

Towards Learning to Complete Anything in Lidar However, (1) we assume no access to semantic labels, and (2) performing such registration is error-prone in our setting

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:40:10.641444Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 7be2419f-d32f-46e6-a41d-ce176dc911ee · outbound

This paper cites an unresolved cited work.

Towards Learning to Complete Anything in Lidar Unresolved cited work

Reference 10

Resolution: unresolved; raw_fallback, observed 2026-08-16T12:40:10.627895Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation f9fa06d4-2f75-479a-b3ca-4c732fa3ba84 · outbound

This paper cites The output from this operation is a separate CLIP feature vector of dimension 768, for each object in the scene.

Towards Learning to Complete Anything in Lidar The output from this operation is a separate CLIP feature vector of dimension 768, for each object in the scene

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:40:10.614112Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation b4cb5679-0cb8-4df5-8b95-30609e88a2a6 · outbound

This paper cites an unresolved cited work.

Towards Learning to Complete Anything in Lidar Unresolved cited work

Reference 12

Resolution: unresolved; raw_fallback, observed 2026-08-16T12:40:10.600147Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 7f75add6-744c-460f-95ae-b2442b54e176 · outbound

This paper cites This MLP block consists of layers with dimensions [384, 512, 1024, 768, 768], where the final dimension, 768, is the dimensionality of the CLIP embedding space.

Towards Learning to Complete Anything in Lidar This MLP block consists of layers with dimensions [384, 512, 1024, 768, 768], where the final dimension, 768, is the dimensionality of the CLIP embedding space

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:40:10.586652Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation d53ccae4-2c09-4d2b-b7fb-2d0b67300c10 · outbound

This paper cites an unresolved cited work.

Towards Learning to Complete Anything in Lidar Unresolved cited work

Reference 15

Resolution: unresolved; raw_fallback, observed 2026-08-16T12:40:10.557963Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 5ca21b3b-1429-4b42-a45e-9c4380a649ee · outbound

This paper cites an unresolved cited work.

Towards Learning to Complete Anything in Lidar Unresolved cited work

Reference 16

Resolution: unresolved; raw_fallback, observed 2026-08-16T12:40:10.544267Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation d71a1835-4d61-4c28-ad31-dc1313b44d92 · outbound

This paper cites We train the CAL model using two different sets of data: pseudo-labels w/o CRF refinement, and with CRF refinement.

Towards Learning to Complete Anything in Lidar We train the CAL model using two different sets of data: pseudo-labels w/o CRF refinement, and with CRF refinement

Reference 19

Resolution: malformed identifier; raw_fallback, observed 2026-08-16T12:40:10.498434Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 447b5d92-e287-4a93-9ac6-38426298a1d0 · outbound

This paper cites an unresolved cited work.

Towards Learning to Complete Anything in Lidar Unresolved cited work

Reference 21

Resolution: unresolved; raw_fallback, observed 2026-08-16T12:40:10.469558Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 081f668e-650d-462f-9bad-1836d8517751 · outbound

This paper cites vehicle” “car.

Towards Learning to Complete Anything in Lidar vehicle” “car

Reference 22

Resolution: malformed identifier; raw_fallback, observed 2026-08-16T12:40:10.455278Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 5eeaa8bb-8687-4464-9d78-212787398167 · outbound

This paper cites While baselines struggle with coherent structure and semantic accuracy, CAL produces cleaner and more complete outputs that align closely with the ground truth.

Towards Learning to Complete Anything in Lidar While baselines struggle with coherent structure and semantic accuracy, CAL produces cleaner and more complete outputs that align closely with the ground truth

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:40:10.440580Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 013da8c9-6b64-4ae0-bb74-ccefcb04a25b · outbound

This paper cites CRF-based refinement module In our pseudo-labeling engine (as depicted in Fig.

Towards Learning to Complete Anything in Lidar CRF-based refinement module In our pseudo-labeling engine (as depicted in Fig

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:40:10.656011Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 58641145-fafb-4bca-a728-8c2a7c661dea · outbound

This paper cites an unresolved cited work.

Towards Learning to Complete Anything in Lidar Unresolved cited work

Reference 500

Resolution: unresolved; raw_fallback, observed 2026-08-16T12:40:10.572347Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation a1543e1f-d3d7-412c-b623-e1da775384fe · outbound

This paper cites These datasets provide per-voxel semantic labels (SemanticKITTI: 20 classes, 8 are thing; SSCBench-KITTI360: 19 classes, 6 are thing) that we only use during evaluation.

Towards Learning to Complete Anything in Lidar These datasets provide per-voxel semantic labels (SemanticKITTI: 20 classes, 8 are thing; SSCBench-KITTI360: 19 classes, 6 are thing) that we only use during evaluation

Reference 2013

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:40:10.529867Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation a6ef3170-26f1-4e49-aff4-7a593054cbee · outbound

This paper cites car” can be addressed by “car, jeep, SUV , van.

Towards Learning to Complete Anything in Lidar car” can be addressed by “car, jeep, SUV , van

Reference 2019

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:40:10.513986Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 9c65aa6f-c1e2-4859-a74c-547aa638d8fb · outbound

This paper cites an unresolved cited work.

Towards Learning to Complete Anything in Lidar Unresolved cited work

Reference 2020

Resolution: unresolved; raw_fallback, observed 2026-08-16T12:40:10.483684Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 767a1bc9-3b9d-4f6c-88af-5018995eb38f · outbound

This paper cites Long-tailed 3d detection via 2d late fusion.

Towards Learning to Complete Anything in Lidar Long-tailed 3d detection via 2d late fusion

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-16T12:40:10.123819Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b8c2671c-dd1a-4654-89ea-df6b2aa11817 · outbound

This paper cites Shap-E: Generating Conditional 3D Implicit Functions.

Towards Learning to Complete Anything in Lidar Shap-E: Generating Conditional 3D Implicit Functions

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-16T12:40:10.113844Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9bbbba9a-26e7-4b2d-be91-417582bb5b38 · outbound

This paper cites Shelf-Supervised Cross-Modal Pre-Training for 3D Object Detection.

Towards Learning to Complete Anything in Lidar Shelf-Supervised Cross-Modal Pre-Training for 3D Object Detection

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-16T12:40:10.118768Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fc3bc9ec-2c02-40f3-ab5d-a6524432a408 · outbound

This paper cites ShapeNet: An Information-Rich 3D Model Repository.

Towards Learning to Complete Anything in Lidar ShapeNet: An Information-Rich 3D Model Repository

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-16T12:40:10.108293Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.