Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-06T14:51:33.748205Z
Paper Citation Record · LEDGER
SRMambaV2: Biomimetic Attention for Sparse Point Cloud Upsampling in Autonomous Driving
As of 17 August 2026, this Paper Citation Record lists 46 of 46 outbound references and 0 inbound Pith citation observations for arXiv:2507.17479.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
46 of 46 outbound references displayed
- verified exact0
- verified fuzzy44
- unresolved2
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 845415cf-7d0a-4bd3-b013-b34a7d745781 · outbound
This paper cites Efficient deep super-resolution of voxelized point cloud in geometry compression,.
SRMambaV2: Biomimetic Attention for Sparse Point Cloud Upsampling in Autonomous Driving Efficient deep super-resolution of voxelized point cloud in geometry compression,
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T14:51:42.478900Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation c9175827-12ce-411b-8323-ddce7453cf53 · outbound
This paper cites Farvnet: A fast and accurate range-view-based method for semantic segmentation of point clouds,.
SRMambaV2: Biomimetic Attention for Sparse Point Cloud Upsampling in Autonomous Driving Farvnet: A fast and accurate range-view-based method for semantic segmentation of point clouds,
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T14:51:42.328168Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 08ce12b0-7c49-49a1-9856-bca57fe6996d · outbound
This paper cites Subt-mrs dataset: Pushing slam towards all-weather environments,.
SRMambaV2: Biomimetic Attention for Sparse Point Cloud Upsampling in Autonomous Driving Subt-mrs dataset: Pushing slam towards all-weather environments,
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T14:51:42.177399Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 1177ead1-aba2-4486-bfdd-3655bfdec2fa · outbound
This paper cites A multi-source fusion system for through-wall radar compensation using lidar and slam-based 3d reconstruction,.
SRMambaV2: Biomimetic Attention for Sparse Point Cloud Upsampling in Autonomous Driving A multi-source fusion system for through-wall radar compensation using lidar and slam-based 3d reconstruction,
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T14:51:41.845601Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 791aa4ce-d4da-4086-bc96-a6662fa02665 · outbound
This paper cites Tulip: Transformer for upsampling of lidar point clouds,.
SRMambaV2: Biomimetic Attention for Sparse Point Cloud Upsampling in Autonomous Driving Tulip: Transformer for upsampling of lidar point clouds,
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T14:51:41.529978Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 83801707-f521-4aa5-9b9e-984db09f4cc1 · outbound
This paper cites Srmamba: Mamba for super-resolution of lidar point clouds,.
SRMambaV2: Biomimetic Attention for Sparse Point Cloud Upsampling in Autonomous Driving Srmamba: Mamba for super-resolution of lidar point clouds,
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T14:51:41.237858Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 8b5a1107-b0d4-4392-91c0-0db8594345af · outbound
This paper cites Rangeldm: Fast realistic lidar point cloud generation,.
SRMambaV2: Biomimetic Attention for Sparse Point Cloud Upsampling in Autonomous Driving Rangeldm: Fast realistic lidar point cloud generation,
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T14:51:41.038767Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 08a605b5-ed89-4974-a0d4-07bdbcae39b7 · outbound
This paper cites Simulation-based lidar super-resolution for ground vehicles,.
SRMambaV2: Biomimetic Attention for Sparse Point Cloud Upsampling in Autonomous Driving Simulation-based lidar super-resolution for ground vehicles,
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T14:51:40.866380Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation ac5218fa-cf5d-45bd-86d7-7b1deb2b8ffe · outbound
This paper cites Ligapu: A lidar point cloud upsampling network for multiple complex scenes,.
SRMambaV2: Biomimetic Attention for Sparse Point Cloud Upsampling in Autonomous Driving Ligapu: A lidar point cloud upsampling network for multiple complex scenes,
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T14:51:40.600893Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 22494ed3-7d7a-49e8-9103-a716bcc03433 · outbound
This paper cites Neural mecha- nisms of visual attention: How top-down feedback highlights relevant locations,.
SRMambaV2: Biomimetic Attention for Sparse Point Cloud Upsampling in Autonomous Driving Neural mecha- nisms of visual attention: How top-down feedback highlights relevant locations,
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T14:51:40.414322Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation a66fb8aa-89ef-41e0-9b32-5cc344477d56 · outbound
This paper cites Brain states: Top-down influences in sensory processing,.
SRMambaV2: Biomimetic Attention for Sparse Point Cloud Upsampling in Autonomous Driving Brain states: Top-down influences in sensory processing,
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T14:51:40.224960Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 1a280426-f27a-4d8e-9983-119665ff44a3 · outbound
This paper cites Smfanet: A lightweight self-modulation feature aggregation network for efficient image super- resolution,.
SRMambaV2: Biomimetic Attention for Sparse Point Cloud Upsampling in Autonomous Driving Smfanet: A lightweight self-modulation feature aggregation network for efficient image super- resolution,
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T14:51:40.025238Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation ea5d0c0c-5f58-4cc0-a504-970a36a7ef21 · outbound
This paper cites Learning to combine top-down and bottom- up signals in recurrent neural networks with attention over modules,.
SRMambaV2: Biomimetic Attention for Sparse Point Cloud Upsampling in Autonomous Driving Learning to combine top-down and bottom- up signals in recurrent neural networks with attention over modules,
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T14:51:39.863196Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 64de5c9a-da4d-494c-8103-ebdfc947e6dc · outbound
This paper cites Blend- mask: Top-down meets bottom-up for instance segmentation,.
SRMambaV2: Biomimetic Attention for Sparse Point Cloud Upsampling in Autonomous Driving Blend- mask: Top-down meets bottom-up for instance segmentation,
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T14:51:39.699323Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 54e2d458-c3f5-4311-a8bb-d0dbf3fc7b3b · outbound
This paper cites Deep residual learning for image recognition,.
SRMambaV2: Biomimetic Attention for Sparse Point Cloud Upsampling in Autonomous Driving Deep residual learning for image recognition,
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T14:51:39.534362Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation b94156ac-8467-4420-a68c-c944fcade220 · outbound
This paper cites Fully convolutional networks for semantic segmentation,.
SRMambaV2: Biomimetic Attention for Sparse Point Cloud Upsampling in Autonomous Driving Fully convolutional networks for semantic segmentation,
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T14:51:39.401339Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation d5357970-e516-4c40-bc4c-1cdc4c2561a3 · outbound
This paper cites Overlock: An overview-first-look-closely-next convnet with context-mixing dynamic kernels,.
SRMambaV2: Biomimetic Attention for Sparse Point Cloud Upsampling in Autonomous Driving Overlock: An overview-first-look-closely-next convnet with context-mixing dynamic kernels,
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T14:51:39.265016Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 3858c20f-ea2e-418e-b91d-2690804648bf · outbound
This paper cites Vmamba: Visual state space model,.
SRMambaV2: Biomimetic Attention for Sparse Point Cloud Upsampling in Autonomous Driving Vmamba: Visual state space model,
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T14:51:39.106686Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 34ddd566-b719-4a3c-99cd-1adf36c46d34 · outbound
This paper cites Swin transformer: Hierarchical vision transformer using shifted windows,.
SRMambaV2: Biomimetic Attention for Sparse Point Cloud Upsampling in Autonomous Driving Swin transformer: Hierarchical vision transformer using shifted windows,
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T14:51:38.953742Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 07a669ab-b8b7-452f-b8ef-e91152e72499 · outbound
This paper cites Point set surfaces,.
SRMambaV2: Biomimetic Attention for Sparse Point Cloud Upsampling in Autonomous Driving Point set surfaces,
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T14:51:38.784285Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 4addc958-1fc7-460f-8323-9a32a94c64b6 · outbound
This paper cites Robust moving least- squares fitting with sharp features,.
SRMambaV2: Biomimetic Attention for Sparse Point Cloud Upsampling in Autonomous Driving Robust moving least- squares fitting with sharp features,
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T14:51:38.590561Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 16924783-b524-489a-af5b-a45164221258 · outbound
This paper cites Pointnet: Deep learning on point sets for 3d classification and segmentation,.
SRMambaV2: Biomimetic Attention for Sparse Point Cloud Upsampling in Autonomous Driving Pointnet: Deep learning on point sets for 3d classification and segmentation,
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T14:51:38.450759Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 6a6cad7f-8333-4814-ae9e-c9f64a252f88 · outbound
This paper cites Pointnet++: deep hierarchical feature learning on point sets in a metric space,.
SRMambaV2: Biomimetic Attention for Sparse Point Cloud Upsampling in Autonomous Driving Pointnet++: deep hierarchical feature learning on point sets in a metric space,
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T14:51:38.290488Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 6d8018e7-1d72-44c2-a96b-3dd1a6f4e168 · outbound
This paper cites Pu-dense: Sparse tensor-based point cloud geometry upsampling,.
SRMambaV2: Biomimetic Attention for Sparse Point Cloud Upsampling in Autonomous Driving Pu-dense: Sparse tensor-based point cloud geometry upsampling,
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T14:51:38.107052Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 0a0f40d6-3689-4825-ae20-2818087dc394 · outbound
This paper cites Pvt: An implicit surface reconstruc- tion framework via point voxel geometric-aware transformer,.
SRMambaV2: Biomimetic Attention for Sparse Point Cloud Upsampling in Autonomous Driving Pvt: An implicit surface reconstruc- tion framework via point voxel geometric-aware transformer,
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T14:51:37.883985Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation f0d4846c-118b-4b0e-8d41-a5031b276c2f · outbound
This paper cites A fast ground segmentation method of lidar point cloud from coarse-to-fine,.
SRMambaV2: Biomimetic Attention for Sparse Point Cloud Upsampling in Autonomous Driving A fast ground segmentation method of lidar point cloud from coarse-to-fine,
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T14:51:37.740848Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation d2e99244-6b83-46a0-8d84-7b2ebed403a3 · outbound
This paper cites Rangelvdet: Boosting 3d object detection in lidar with range image and rgb image,.
SRMambaV2: Biomimetic Attention for Sparse Point Cloud Upsampling in Autonomous Driving Rangelvdet: Boosting 3d object detection in lidar with range image and rgb image,
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T14:51:37.596181Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 67ed439a-f3ca-4bd8-90c1-5406d10fbc9f · outbound
This paper cites Face mamba: A facial emotion analysis network based on vmamba*,.
SRMambaV2: Biomimetic Attention for Sparse Point Cloud Upsampling in Autonomous Driving Face mamba: A facial emotion analysis network based on vmamba*,
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T14:51:37.324145Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation cda00935-b9ee-47c3-a457-8f995c5b7f74 · outbound
This paper cites Hfifnet: Hierarchical feature interaction network with multiscale fusion for change detection,.
SRMambaV2: Biomimetic Attention for Sparse Point Cloud Upsampling in Autonomous Driving Hfifnet: Hierarchical feature interaction network with multiscale fusion for change detection,
Reference 29
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T14:51:37.066126Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 4a7c9817-5163-4cf8-ba52-9bfca9162be7 · outbound
This paper cites Intermamba: A visual-prompted interactive framework for dense object detection and annotation,.
SRMambaV2: Biomimetic Attention for Sparse Point Cloud Upsampling in Autonomous Driving Intermamba: A visual-prompted interactive framework for dense object detection and annotation,
Reference 30
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T14:51:36.806316Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 333d0f30-c269-4578-937c-27fd281cd47d · outbound
This paper cites U-net: Convolutional networks for biomedical image segmentation,.
SRMambaV2: Biomimetic Attention for Sparse Point Cloud Upsampling in Autonomous Driving U-net: Convolutional networks for biomedical image segmentation,
Reference 31
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T14:51:36.600718Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation ea8c9e1c-9f2d-4408-9dbf-05ffa20452aa · outbound
This paper cites Segumamba: Integrating mamba with u net for medical image segmentation,.
SRMambaV2: Biomimetic Attention for Sparse Point Cloud Upsampling in Autonomous Driving Segumamba: Integrating mamba with u net for medical image segmentation,
Reference 32
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T14:51:36.323456Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation b60dcf65-f37b-48c2-a707-f4ea9655b4bd · outbound
This paper cites Tmu: Transmission- enhanced mamba-unet for medical image segmentation,.
SRMambaV2: Biomimetic Attention for Sparse Point Cloud Upsampling in Autonomous Driving Tmu: Transmission- enhanced mamba-unet for medical image segmentation,
Reference 33
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T14:51:36.030118Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 8edb3107-2645-4457-a50c-e056a913d818 · outbound
This paper cites Lightmamba-unet: Lightweight mamba with u-net for efficient skin lesion segmentation,.
SRMambaV2: Biomimetic Attention for Sparse Point Cloud Upsampling in Autonomous Driving Lightmamba-unet: Lightweight mamba with u-net for efficient skin lesion segmentation,
Reference 34
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T14:51:35.811597Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation c88b4b29-140e-4e0d-9f62-a0babdb659e3 · outbound
This paper cites Mobilemamba: Lightweight multi-receptive visual mamba network,.
SRMambaV2: Biomimetic Attention for Sparse Point Cloud Upsampling in Autonomous Driving Mobilemamba: Lightweight multi-receptive visual mamba network,
Reference 35
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T14:51:35.630117Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation a3e99da0-4b2e-4205-a61e-d1ab8066b0e0 · outbound
This paper cites Localmamba: Visual state space model with windowed selective scan,.
SRMambaV2: Biomimetic Attention for Sparse Point Cloud Upsampling in Autonomous Driving Localmamba: Visual state space model with windowed selective scan,
Reference 36
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T14:51:35.483064Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 41039582-a002-4678-9518-23fc71282eb5 · outbound
This paper cites Mambavision: A hybrid mamba- transformer vision backbone,.
SRMambaV2: Biomimetic Attention for Sparse Point Cloud Upsampling in Autonomous Driving Mambavision: A hybrid mamba- transformer vision backbone,
Reference 37
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T14:51:35.286821Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 53bb770d-a349-4bef-a2bc-04c0dd287e3f · outbound
This paper cites Feature pyramid networks for object detection,.
SRMambaV2: Biomimetic Attention for Sparse Point Cloud Upsampling in Autonomous Driving Feature pyramid networks for object detection,
Reference 38
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T14:51:35.038741Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 1a083717-3d21-4bd7-898c-c6dc9ba52cba · outbound
This paper cites Pyramid vision transformer: A versatile backbone for dense prediction without convolutions,.
SRMambaV2: Biomimetic Attention for Sparse Point Cloud Upsampling in Autonomous Driving Pyramid vision transformer: A versatile backbone for dense prediction without convolutions,
Reference 39
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T14:51:34.859256Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation b97c5cfc-5408-447c-ac59-e4c89ef29045 · outbound
This paper cites An image is worth 16x16 words: Trans- formers for image recognition at scale,.
SRMambaV2: Biomimetic Attention for Sparse Point Cloud Upsampling in Autonomous Driving An image is worth 16x16 words: Trans- formers for image recognition at scale,
Reference 40
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T14:51:33.247334Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0e3002b7-4ed2-44a1-ad75-4a93e98e50bf · outbound
This paper cites Multi-scale attention network for single image super-resolution,.
SRMambaV2: Biomimetic Attention for Sparse Point Cloud Upsampling in Autonomous Driving Multi-scale attention network for single image super-resolution,
Reference 41
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T14:51:34.629669Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 135fd97b-d62d-4b50-84e5-c89e3dad9eed · outbound
This paper cites Squeeze-and-excitation networks,.
SRMambaV2: Biomimetic Attention for Sparse Point Cloud Upsampling in Autonomous Driving Squeeze-and-excitation networks,
Reference 42
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T14:51:34.444072Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 901e9f4c-3544-41c5-9659-b3e3c37a3b95 · outbound
This paper cites Kitti-360: A novel dataset and bench- marks for urban scene understanding in 2d and 3d,.
SRMambaV2: Biomimetic Attention for Sparse Point Cloud Upsampling in Autonomous Driving Kitti-360: A novel dataset and bench- marks for urban scene understanding in 2d and 3d,
Reference 43
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T14:51:34.283571Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 1801bd51-1fdf-4966-9113-55fa4746a8e2 · outbound
This paper cites Panoptic nuscenes: A large-scale benchmark for lidar panoptic segmentation and tracking,.
SRMambaV2: Biomimetic Attention for Sparse Point Cloud Upsampling in Autonomous Driving Panoptic nuscenes: A large-scale benchmark for lidar panoptic segmentation and tracking,
Reference 44
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T14:51:34.102255Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 2a355e30-47eb-4475-b382-2f99dd4d9bb1 · outbound
This paper cites CAS-ViT: Convolutional Additive Self-attention Vision Transformers for Efficient Mobile Applications.
SRMambaV2: Biomimetic Attention for Sparse Point Cloud Upsampling in Autonomous Driving CAS-ViT: Convolutional Additive Self-attention Vision Transformers for Efficient Mobile Applications
Reference 45
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T14:51:33.678962Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8b1b0921-242e-4a4a-af77-b738d4941a06 · outbound
This paper cites Swinir: Image restoration using swin transformer,.
SRMambaV2: Biomimetic Attention for Sparse Point Cloud Upsampling in Autonomous Driving Swinir: Image restoration using swin transformer,
Reference 46
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T14:51:33.928542Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Pith citing papers
No inbound Pith citation observations are available.