Paper Citation Record · LEDGER

How Do Images Align and Complement LiDAR? Towards a Harmonized Multi-modal 3D Panoptic Segmentation

As of 19 August 2026, this Paper Citation Record lists 59 of 59 outbound references and 1 inbound Pith citation observation for arXiv:2505.18956.

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

pith.paper-citation-record.v1
2505.18956 v2

Coverage vector

measured 59 of 59 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:27:36.319306Z

measured 60 of 60 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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-02T21:44:10.494363Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

59 of 59 outbound references displayed

verified exact6
verified fuzzy34
unresolved16
parse uncertain0
malformed identifier0
metadata mismatch3

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 120a9a79-7947-43a5-94c6-1e26c7f5c338 · outbound

This paper cites write newline.

How Do Images Align and Complement LiDAR? Towards a Harmonized Multi-modal 3D Panoptic Segmentation write newline

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-07T14:27:32.129448Z

Source-reported events for the cited work

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Observation 3452fb0d-ed05-4928-a61c-4e34f65255d4 · outbound

This paper cites Multimodality Helps Few-shot 3D Point Cloud Semantic Segmentation.

How Do Images Align and Complement LiDAR? Towards a Harmonized Multi-modal 3D Panoptic Segmentation Multimodality Helps Few-shot 3D Point Cloud Semantic Segmentation

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-07T14:27:32.185244Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 201a8dd2-4de0-47c1-909c-bef576485f84 · outbound

This paper cites 4d-former: Multimodal 4d panoptic segmentation.

How Do Images Align and Complement LiDAR? Towards a Harmonized Multi-modal 3D Panoptic Segmentation 4d-former: Multimodal 4d panoptic segmentation

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:27:43.575045Z

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 b4d603c3-152e-4de6-9dfb-f636fc44c70e · outbound

This paper cites Transfusion: Robust lidar-camera fusion for 3d object detection with transformers.

How Do Images Align and Complement LiDAR? Towards a Harmonized Multi-modal 3D Panoptic Segmentation Transfusion: Robust lidar-camera fusion for 3d object detection with transformers

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:27:43.397472Z

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 9668f4d5-89b7-44c6-b2f2-55e913a5e5f1 · outbound

This paper cites SemanticKITTI: A Dataset for Semantic Scene Understanding of LiDAR Sequences.

How Do Images Align and Complement LiDAR? Towards a Harmonized Multi-modal 3D Panoptic Segmentation SemanticKITTI: A Dataset for Semantic Scene Understanding of LiDAR Sequences

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:27:43.216307Z

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 8056b300-669c-4eaf-ad9d-cc1c4c018d52 · outbound

This paper cites Towards 3D LiDAR-based semantic scene understanding of 3D point cloud sequences: The SemanticKITTI Dataset.

How Do Images Align and Complement LiDAR? Towards a Harmonized Multi-modal 3D Panoptic Segmentation Towards 3D LiDAR-based semantic scene understanding of 3D point cloud sequences: The SemanticKITTI Dataset

Reference 6

Resolution: verified exact; doi, observed 2026-08-07T14:27:36.874355Z

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 56861a18-aa73-4d97-969f-da7982263aff · outbound

This paper cites H., Vora, S., Liong, V.

How Do Images Align and Complement LiDAR? Towards a Harmonized Multi-modal 3D Panoptic Segmentation H., Vora, S., Liong, V

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:27:43.005343Z

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 319b73c3-3133-49b5-96c1-049456fbe661 · outbound

This paper cites Pasco: Urban 3d panoptic scene completion with uncertainty awareness.

How Do Images Align and Complement LiDAR? Towards a Harmonized Multi-modal 3D Panoptic Segmentation Pasco: Urban 3d panoptic scene completion with uncertainty awareness

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:27:42.827387Z

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 7a119bf1-7430-4ec9-8e7a-83771cbd7fed · outbound

This paper cites Futr3d: A unified sensor fusion framework for 3d detection.

How Do Images Align and Complement LiDAR? Towards a Harmonized Multi-modal 3D Panoptic Segmentation Futr3d: A unified sensor fusion framework for 3d detection

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:27:42.688763Z

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 6a6ae2f9-f0f1-4285-a7ad-87d45b952ae1 · outbound

This paper cites A density-based algorithm for discovering clusters in large spatial databases with noise.

How Do Images Align and Complement LiDAR? Towards a Harmonized Multi-modal 3D Panoptic Segmentation A density-based algorithm for discovering clusters in large spatial databases with noise

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:27:42.498833Z

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 e6dbd4aa-920d-4391-a08a-5965fe063848 · outbound

This paper cites K., Mohan, R., Hurtado, J.

How Do Images Align and Complement LiDAR? Towards a Harmonized Multi-modal 3D Panoptic Segmentation K., Mohan, R., Hurtado, J

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:27:42.383497Z

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 2d2fc2c0-3379-4c4d-9e45-9002eb2d41b5 · outbound

This paper cites Are we ready for Autonomous Driving? The KITTI Vision Benchmark Suite.

How Do Images Align and Complement LiDAR? Towards a Harmonized Multi-modal 3D Panoptic Segmentation Are we ready for Autonomous Driving? The KITTI Vision Benchmark Suite

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:27:42.126850Z

Source-reported events for the cited work

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Observation feb238d8-0401-4aa1-8a89-773edd8c8528 · outbound

This paper cites MaskRange: A Mask-classification Model for Range-view based LiDAR Segmentation.

How Do Images Align and Complement LiDAR? Towards a Harmonized Multi-modal 3D Panoptic Segmentation MaskRange: A Mask-classification Model for Range-view based LiDAR Segmentation

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-07T14:27:32.853914Z

Source-reported events for the cited work

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Observation 584f6f9b-9bbb-410d-9f7e-55a237f3ef59 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

How Do Images Align and Complement LiDAR? Towards a Harmonized Multi-modal 3D Panoptic Segmentation Adam: A Method for Stochastic Optimization

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-07T14:27:32.961728Z

Source-reported events for the cited work

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Observation d3912709-4df4-461c-84ca-deb5c49ea43a · outbound

This paper cites B., Rother, C., and Doll \'a r, P.

How Do Images Align and Complement LiDAR? Towards a Harmonized Multi-modal 3D Panoptic Segmentation B., Rother, C., and Doll \'a r, P

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:27:42.010849Z

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 c8aa1c99-f6b4-442d-ba31-941ac2321172 · outbound

This paper cites Lasermix for semi-supervised lidar semantic segmentation.

How Do Images Align and Complement LiDAR? Towards a Harmonized Multi-modal 3D Panoptic Segmentation Lasermix for semi-supervised lidar semantic segmentation

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:27:41.725069Z

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 e601df1b-f34d-4b85-9aa0-d34ffdf4465b · outbound

This paper cites T., and Liu, Z.

How Do Images Align and Complement LiDAR? Towards a Harmonized Multi-modal 3D Panoptic Segmentation T., and Liu, Z

Reference 20

Resolution: verified exact; raw_fallback, observed 2026-08-07T14:27:38.043923Z

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 ebee00b4-0bef-4e07-a1f8-39b3f92cae5f · outbound

This paper cites Fuseseg: Lidar point cloud segmentation fusing multi-modal data.

How Do Images Align and Complement LiDAR? Towards a Harmonized Multi-modal 3D Panoptic Segmentation Fuseseg: Lidar point cloud segmentation fusing multi-modal data

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:27:41.534455Z

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 4ac5f581-8cc9-4e73-9b59-f15f3238d4ea · outbound

This paper cites Cpseg: Cluster-free panoptic segmentation of 3d lidar point clouds.

How Do Images Align and Complement LiDAR? Towards a Harmonized Multi-modal 3D Panoptic Segmentation Cpseg: Cluster-free panoptic segmentation of 3d lidar point clouds

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:27:41.351563Z

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 ffa81516-69d9-4cad-8e73-10fec0396bc7 · outbound

This paper cites Panoptic-phnet: Towards real-time and high-precision lidar panoptic segmentation via clustering pseudo heatmap.

How Do Images Align and Complement LiDAR? Towards a Harmonized Multi-modal 3D Panoptic Segmentation Panoptic-phnet: Towards real-time and high-precision lidar panoptic segmentation via clustering pseudo heatmap

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:27:41.139726Z

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 98795e78-7ea6-445f-bedc-6d39e0c14043 · outbound

This paper cites Mseg3d: Multi-modal 3d semantic segmentation for autonomous driving.

How Do Images Align and Complement LiDAR? Towards a Harmonized Multi-modal 3D Panoptic Segmentation Mseg3d: Multi-modal 3d semantic segmentation for autonomous driving

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:27:41.045798Z

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 a9e30368-d021-43b1-8063-bd84483b37aa · outbound

This paper cites and Zhao, N.

How Do Images Align and Complement LiDAR? Towards a Harmonized Multi-modal 3D Panoptic Segmentation and Zhao, N

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:27:40.935063Z

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 3b3f2712-66fb-43a1-a905-1fadd82fed9e · outbound

This paper cites and Chen, D.

How Do Images Align and Complement LiDAR? Towards a Harmonized Multi-modal 3D Panoptic Segmentation and Chen, D

Reference 26

Resolution: metadata mismatch; raw_fallback, observed 2026-08-07T14:27:37.871219Z

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 89328558-31ac-41d5-b1d1-dd9fd0483732 · outbound

This paper cites Center focusing network for real-time lidar panoptic segmentation.

How Do Images Align and Complement LiDAR? Towards a Harmonized Multi-modal 3D Panoptic Segmentation Center focusing network for real-time lidar panoptic segmentation

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-07T14:27:33.808369Z

Source-reported events for the cited work

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Observation 27a9e086-7ad5-4418-81f2-7e1e1d0b5218 · outbound

This paper cites W., Meng, T., Caine, B., Ngiam, J., Peng, D., Shen, J., Lu, Y., Zhou, D., Le, Q.

How Do Images Align and Complement LiDAR? Towards a Harmonized Multi-modal 3D Panoptic Segmentation W., Meng, T., Caine, B., Ngiam, J., Peng, D., Shen, J., Lu, Y., Zhou, D., Le, Q

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:27:40.796310Z

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 4b12deb7-9d43-4515-8e5d-68193ce384b0 · outbound

This paper cites Fully sparse fusion for 3d object detection.

How Do Images Align and Complement LiDAR? Towards a Harmonized Multi-modal 3D Panoptic Segmentation Fully sparse fusion for 3d object detection

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:27:40.650533Z

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 ca6a7a50-8033-4deb-a73c-dade0b6c8224 · outbound

This paper cites Bevfusion: A simple and robust lidar-camera fusion framework.

How Do Images Align and Complement LiDAR? Towards a Harmonized Multi-modal 3D Panoptic Segmentation Bevfusion: A simple and robust lidar-camera fusion framework

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:27:40.526250Z

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 e4fc7e15-c24b-4c75-865f-8b1d33077d9c · outbound

This paper cites Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection.

How Do Images Align and Complement LiDAR? Towards a Harmonized Multi-modal 3D Panoptic Segmentation Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-07T14:27:34.128651Z

Source-reported events for the cited work

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Observation 747f0c7c-a1cf-4df3-895e-ebb76c388f94 · outbound

This paper cites Uniseg: A unified multi-modal lidar segmentation network and the openpcseg codebase.

How Do Images Align and Complement LiDAR? Towards a Harmonized Multi-modal 3D Panoptic Segmentation Uniseg: A unified multi-modal lidar segmentation network and the openpcseg codebase

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-07T14:27:34.191889Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7ae42cc7-5b8d-4301-b5e2-760de19db96b · outbound

This paper cites BEV-Guided Multi-Modality Fusion for Driving Perception.

How Do Images Align and Complement LiDAR? Towards a Harmonized Multi-modal 3D Panoptic Segmentation BEV-Guided Multi-Modality Fusion for Driving Perception

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:27:40.393526Z

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 f411ad60-da7c-4423-9912-8f66def8f5c8 · outbound

This paper cites Mask-Based Panoptic LiDAR Segmentation for Autonomous Driving.

How Do Images Align and Complement LiDAR? Towards a Harmonized Multi-modal 3D Panoptic Segmentation Mask-Based Panoptic LiDAR Segmentation for Autonomous Driving

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-07T14:27:34.373513Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a6848211-52ed-4158-8b61-55882700faa6 · outbound

This paper cites CenterLPS : Segment Instances by Centers for LiDAR Panoptic Segmentation.

How Do Images Align and Complement LiDAR? Towards a Harmonized Multi-modal 3D Panoptic Segmentation CenterLPS : Segment Instances by Centers for LiDAR Panoptic Segmentation

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-07T14:27:34.415999Z

Source-reported events for the cited work

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Observation 08aa8390-3a62-4ce7-b88d-1384900a2289 · outbound

This paper cites and Šegvić, S.

How Do Images Align and Complement LiDAR? Towards a Harmonized Multi-modal 3D Panoptic Segmentation and Šegvić, S

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-07T14:27:34.529192Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5a1086ed-1128-4bb6-a4ea-3c9ba435afce · outbound

This paper cites R., Colovic, A., and Kontschieder, P.

How Do Images Align and Complement LiDAR? Towards a Harmonized Multi-modal 3D Panoptic Segmentation R., Colovic, A., and Kontschieder, P

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:27:40.255274Z

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 3d08dc5d-5517-48a2-94a0-f19b025f4e6c · outbound

This paper cites M., Ren, Y., and Liu, B.

How Do Images Align and Complement LiDAR? Towards a Harmonized Multi-modal 3D Panoptic Segmentation M., Ren, Y., and Liu, B

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:27:40.088543Z

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 2a8b8d8a-c88d-4f28-b37a-8800518ac950 · outbound

This paper cites Efficientlps: Efficient lidar panoptic segmentation.

How Do Images Align and Complement LiDAR? Towards a Harmonized Multi-modal 3D Panoptic Segmentation Efficientlps: Efficient lidar panoptic segmentation

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:27:39.965067Z

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 7e2f4888-d064-4208-9438-b3f1a1f4f79d · outbound

This paper cites Panoptic-fusionnet: Camera-lidar fusion-based point cloud panoptic segmentation for autonomous driving.

How Do Images Align and Complement LiDAR? Towards a Harmonized Multi-modal 3D Panoptic Segmentation Panoptic-fusionnet: Camera-lidar fusion-based point cloud panoptic segmentation for autonomous driving

Reference 40

Resolution: metadata mismatch; raw_fallback, observed 2026-08-07T14:27:37.431060Z

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 e98bcf5e-f268-4dab-b429-093c90887a47 · outbound

This paper cites PUPS: Point Cloud Unified Panoptic Segmentation.

How Do Images Align and Complement LiDAR? Towards a Harmonized Multi-modal 3D Panoptic Segmentation PUPS: Point Cloud Unified Panoptic Segmentation

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-07T14:27:34.902428Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5a0283ca-90d0-405c-97a0-eedf63af1b86 · outbound

This paper cites Joint semantic segmentation using representations of lidar point clouds and camera images.

How Do Images Align and Complement LiDAR? Towards a Harmonized Multi-modal 3D Panoptic Segmentation Joint semantic segmentation using representations of lidar point clouds and camera images

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:27:39.847330Z

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 060f18c2-f93c-4245-9d3d-5bee88cd4f2e · outbound

This paper cites Polarmix: a general data augmentation technique for lidar point clouds.

How Do Images Align and Complement LiDAR? Towards a Harmonized Multi-modal 3D Panoptic Segmentation Polarmix: a general data augmentation technique for lidar point clouds

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:27:39.736243Z

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 c2d60190-f601-4950-94b6-504f4e0899d3 · outbound

This paper cites C., Lin, D., and Pang, J.

How Do Images Align and Complement LiDAR? Towards a Harmonized Multi-modal 3D Panoptic Segmentation C., Lin, D., and Pang, J

Reference 44

Resolution: verified exact; doi, observed 2026-08-07T14:27:36.749386Z

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 17462dda-e0f0-404b-b785-e421a0f0d23d · outbound

This paper cites Sparse cross-scale attention network for efficient lidar panoptic segmentation.

How Do Images Align and Complement LiDAR? Towards a Harmonized Multi-modal 3D Panoptic Segmentation Sparse cross-scale attention network for efficient lidar panoptic segmentation

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:27:39.597434Z

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 6f76e515-c95f-4acf-b678-a427f1c80052 · outbound

This paper cites Aop-net: All-in-one perception network for lidar-based joint 3d object detection and panoptic segmentation.

How Do Images Align and Complement LiDAR? Towards a Harmonized Multi-modal 3D Panoptic Segmentation Aop-net: All-in-one perception network for lidar-based joint 3d object detection and panoptic segmentation

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-07T14:27:35.213093Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 33c6bbb3-b3bc-4776-a127-6069ba16b4b8 · outbound

This paper cites an unresolved cited work.

How Do Images Align and Complement LiDAR? Towards a Harmonized Multi-modal 3D Panoptic Segmentation Unresolved cited work

Reference 47

Resolution: unresolved; raw_fallback, observed 2026-08-07T14:27:39.463088Z

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 6834dda2-c5c1-4cb4-9e4e-c3ac72dd95ce · outbound

This paper cites Cross modal transformer: Towards fast and robust 3d object detection.

How Do Images Align and Complement LiDAR? Towards a Harmonized Multi-modal 3D Panoptic Segmentation Cross modal transformer: Towards fast and robust 3d object detection

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:27:39.305640Z

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 ecf48f6a-9dc0-44b8-9666-cf76ee3809d2 · outbound

This paper cites 2dpass: 2d priors assisted semantic segmentation on lidar point clouds.

How Do Images Align and Complement LiDAR? Towards a Harmonized Multi-modal 3D Panoptic Segmentation 2dpass: 2d priors assisted semantic segmentation on lidar point clouds

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:27:39.149855Z

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 3f2fc7ad-bf81-4717-be9d-8de8d480c131 · outbound

This paper cites 4d panoptic scene graph generation.

How Do Images Align and Complement LiDAR? Towards a Harmonized Multi-modal 3D Panoptic Segmentation 4d panoptic scene graph generation

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:27:39.067398Z

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 2e0ff17c-19dd-41fe-b446-966e03bf450a · outbound

This paper cites Dqformer: Toward unified lidar panoptic segmentation with decoupled queries for large-scale outdoor scenes.

How Do Images Align and Complement LiDAR? Towards a Harmonized Multi-modal 3D Panoptic Segmentation Dqformer: Toward unified lidar panoptic segmentation with decoupled queries for large-scale outdoor scenes

Reference 51

Resolution: metadata mismatch; raw_fallback, observed 2026-08-07T14:27:37.194224Z

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 6aed35df-cac0-40a3-814a-daa9e7b873c0 · outbound

This paper cites Lidarmultinet: towards a unified multi-task network for lidar perception.

How Do Images Align and Complement LiDAR? Towards a Harmonized Multi-modal 3D Panoptic Segmentation Lidarmultinet: towards a unified multi-task network for lidar perception

Reference 52

Resolution: verified exact; doi, observed 2026-08-07T14:27:36.588783Z

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 971a123a-61ac-4324-b318-c2d5e4d13bf1 · outbound

This paper cites Is-fusion: Instance-scene collaborative fusion for multimodal 3d object detection.

How Do Images Align and Complement LiDAR? Towards a Harmonized Multi-modal 3D Panoptic Segmentation Is-fusion: Instance-scene collaborative fusion for multimodal 3d object detection

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:27:38.955181Z

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 7a1a92dc-04d7-4912-ac20-0af272f40649 · outbound

This paper cites a henb \.

How Do Images Align and Complement LiDAR? Towards a Harmonized Multi-modal 3D Panoptic Segmentation a henb \

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:27:38.823837Z

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 dedc04c7-a7ed-4dbe-89a4-ea0b9a3332f7 · outbound

This paper cites SparseLIF: High-Performance Sparse LiDAR-Camera Fusion for 3D Object Detection, pp.\ 109--128.

How Do Images Align and Complement LiDAR? Towards a Harmonized Multi-modal 3D Panoptic Segmentation SparseLIF: High-Performance Sparse LiDAR-Camera Fusion for 3D Object Detection, pp.\ 109--128

Reference 55

Resolution: verified exact; doi, observed 2026-08-07T14:27:36.479566Z

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 fe1a953f-0706-4bac-ac39-baeddc86b8c7 · outbound

This paper cites Lidar-camera panoptic segmentation via geometry-consistent and semantic-aware alignment.

How Do Images Align and Complement LiDAR? Towards a Harmonized Multi-modal 3D Panoptic Segmentation Lidar-camera panoptic segmentation via geometry-consistent and semantic-aware alignment

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:27:38.734738Z

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 3e50088d-dfe6-42f2-86e2-e05fb8052969 · outbound

This paper cites Unimix: Towards domain adaptive and generalizable lidar semantic segmentation in adverse weather.

How Do Images Align and Complement LiDAR? Towards a Harmonized Multi-modal 3D Panoptic Segmentation Unimix: Towards domain adaptive and generalizable lidar semantic segmentation in adverse weather

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:27:38.573591Z

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 5fa4f913-1bb2-425e-a3eb-e79442fc9966 · outbound

This paper cites an unresolved cited work.

How Do Images Align and Complement LiDAR? Towards a Harmonized Multi-modal 3D Panoptic Segmentation Unresolved cited work

Reference 58

Resolution: unresolved; raw_fallback, observed 2026-08-07T14:27:38.467585Z

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 a602917e-01fb-4724-8078-aad535591254 · outbound

This paper cites Synthetic-to-Real Domain Generalized Semantic Segmentation for 3D Indoor Point Clouds.

How Do Images Align and Complement LiDAR? Towards a Harmonized Multi-modal 3D Panoptic Segmentation Synthetic-to-Real Domain Generalized Semantic Segmentation for 3D Indoor Point Clouds

Reference 59

Resolution: verified exact; local_arxiv, observed 2026-08-07T14:27:37.023114Z

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 9fda9ada-16ea-4505-a967-39b72f4a4452 · outbound

This paper cites Panoptic-PolarNet: Proposal-free LiDAR Point Cloud Panoptic Segmentation.

How Do Images Align and Complement LiDAR? Towards a Harmonized Multi-modal 3D Panoptic Segmentation Panoptic-PolarNet: Proposal-free LiDAR Point Cloud Panoptic Segmentation

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-07T14:27:36.186452Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 233eb8ec-dcab-4b66-9b55-ecac8ed365fa · outbound

This paper cites Cylindrical and Asymmetrical 3D Convolution Networks for LiDAR Segmentation.

How Do Images Align and Complement LiDAR? Towards a Harmonized Multi-modal 3D Panoptic Segmentation Cylindrical and Asymmetrical 3D Convolution Networks for LiDAR Segmentation

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-07T14:27:36.259287Z

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Unavailable: canonical work link unavailable.

Observation f4dbe583-bf2e-4ee8-8269-e792c1ec88f1 · outbound

This paper cites Perception-aware multi-sensor fusion for 3d lidar semantic segmentation.

How Do Images Align and Complement LiDAR? Towards a Harmonized Multi-modal 3D Panoptic Segmentation Perception-aware multi-sensor fusion for 3d lidar semantic segmentation

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:27:38.310344Z

Source-reported events for the cited work

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Pith citing papers

Observation 68b7c52c-3ce4-4198-948d-ae768b7130be · inbound

UP-Fuse: Uncertainty-guided LiDAR-Camera Fusion for 3D Panoptic Segmentation cites this paper.

UP-Fuse: Uncertainty-guided LiDAR-Camera Fusion for 3D Panoptic Segmentation How Do Images Align and Complement LiDAR? Towards a Harmonized Multi-modal 3D Panoptic Segmentation

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-02T21:44:10.494363Z

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Unavailable: canonical work link unavailable.