Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-12T16:49:23.949666Z
Paper Citation Record · LEDGER
VADet: Multi-frame LiDAR 3D Object Detection using Variable Aggregation
As of 18 August 2026, this Paper Citation Record lists 23 of 23 outbound references and 0 inbound Pith citation observations for arXiv:2411.13186.
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
23 of 23 outbound references displayed
- verified exact1
- verified fuzzy22
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 5043c51b-fe69-46c3-9e81-db711ed54014 · outbound
This paper cites Lang, Sourabh V ora, Venice Erin Liong, Qiang Xu, Anush Krish- nan, Yu Pan, Giancarlo Baldan, and Oscar Beijbom.
VADet: Multi-frame LiDAR 3D Object Detection using Variable Aggregation Lang, Sourabh V ora, Venice Erin Liong, Qiang Xu, Anush Krish- nan, Yu Pan, Giancarlo Baldan, and Oscar Beijbom
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T16:49:24.436931Z
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 09da1835-b18f-4d43-b3d0-1a64f406c887 · outbound
This paper cites MPPNet: Multi-frame feature intertwining with proxy points for 3D temporal object detection.
VADet: Multi-frame LiDAR 3D Object Detection using Variable Aggregation MPPNet: Multi-frame feature intertwining with proxy points for 3D temporal object detection
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T16:49:24.418765Z
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 d21267ed-f068-4619-aa16-ffc497e2a11b · outbound
This paper cites V oxelNeXt: Fully sparse V oxelNet for 3D object detection and tracking.
VADet: Multi-frame LiDAR 3D Object Detection using Variable Aggregation V oxelNeXt: Fully sparse V oxelNet for 3D object detection and tracking
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T16:49:24.383451Z
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 d5bef33a-2182-4193-a305-4b8cc8b5b8e0 · outbound
This paper cites 1st Place Solution for Waymo Open Dataset Challenge -- 3D Detection and Domain Adaptation.
VADet: Multi-frame LiDAR 3D Object Detection using Variable Aggregation 1st Place Solution for Waymo Open Dataset Challenge -- 3D Detection and Domain Adaptation
Reference 4
- Resolution
- verified exact
- local_arxiv, observed 2026-08-12T16:49:24.005230Z
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 d888e2ec-086a-4a0c-9289-a90b9e67ad15 · outbound
This paper cites Super sparse 3D object detection.
VADet: Multi-frame LiDAR 3D Object Detection using Variable Aggregation Super sparse 3D object detection
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T16:49:24.368527Z
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 91e750ae-fb54-46ed-bedd-019a99eba4e2 · outbound
This paper cites AFDetV2: Rethinking the necessity of the second stage for ob- ject detection from point clouds.
VADet: Multi-frame LiDAR 3D Object Detection using Variable Aggregation AFDetV2: Rethinking the necessity of the second stage for ob- ject detection from point clouds
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T16:49:24.353749Z
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 9921f07c-9b84-4a45-a357-96aeb6d681b9 · outbound
This paper cites SOAP: Cross-sensor do- main adaptation for 3D object detection using Sta- tionary Object Aggregation Pseudo-labelling.
VADet: Multi-frame LiDAR 3D Object Detection using Variable Aggregation SOAP: Cross-sensor do- main adaptation for 3D object detection using Sta- tionary Object Aggregation Pseudo-labelling
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T16:49:24.339095Z
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 d89ae68f-a75f-4ffd-ac8f-888b067b6542 · outbound
This paper cites Ross, Thomas Funkhouser, and Alireza Fathi.
VADet: Multi-frame LiDAR 3D Object Detection using Variable Aggregation Ross, Thomas Funkhouser, and Alireza Fathi
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T16:49:24.323667Z
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 fb93f0b2-55e8-4b59-9652-87ca1137209c · outbound
This paper cites Pil- larNeXt: Rethinking network designs for 3D object detection in LiDAR point clouds.
VADet: Multi-frame LiDAR 3D Object Detection using Variable Aggregation Pil- larNeXt: Rethinking network designs for 3D object detection in LiDAR point clouds
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T16:49:24.307015Z
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 1db51d83-dd96-43e3-8f54-d64dd3f862aa · outbound
This paper cites Logonet: Towards accurate 3d ob- ject detection with local-to-global cross-modal fusion.
VADet: Multi-frame LiDAR 3D Object Detection using Variable Aggregation Logonet: Towards accurate 3d ob- ject detection with local-to-global cross-modal fusion
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T16:49:24.287413Z
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 811adcf4-bf00-4300-a30f-908a89aba4dd · outbound
This paper cites Deep- fusion: Lidar-camera deep fusion for multi-modal 3d object detection.
VADet: Multi-frame LiDAR 3D Object Detection using Variable Aggregation Deep- fusion: Lidar-camera deep fusion for multi-modal 3d object detection
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T16:49:24.263491Z
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 5485972e-c258-45d2-831c-1b7c0591f4a5 · outbound
This paper cites Bevfusion: Multi-task multi-sensor fusion with uni- fied bird’s-eye view representation.
VADet: Multi-frame LiDAR 3D Object Detection using Variable Aggregation Bevfusion: Multi-task multi-sensor fusion with uni- fied bird’s-eye view representation
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T16:49:24.238360Z
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 f860f87c-3d94-4fa6-bb72-623064e99cfc · outbound
This paper cites Fast and Furious: Real time end-to-end 3D detection, track- ing and motion forecasting with a single convolutional net.
VADet: Multi-frame LiDAR 3D Object Detection using Variable Aggregation Fast and Furious: Real time end-to-end 3D detection, track- ing and motion forecasting with a single convolutional net
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T16:49:24.216068Z
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 dbd18de6-799e-4303-80e6-74a7b5eb48e1 · outbound
This paper cites TransPillars: Coarse-to-fine aggregation for multi-frame 3D object detection.
VADet: Multi-frame LiDAR 3D Object Detection using Variable Aggregation TransPillars: Coarse-to-fine aggregation for multi-frame 3D object detection
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T16:49:24.197445Z
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 ede71d6d-8739-4e77-ae20-866a7a93be85 · outbound
This paper cites PV-RCNN++: Point-voxel feature set abstraction with local vector representation for 3D ob- ject detection.
VADet: Multi-frame LiDAR 3D Object Detection using Variable Aggregation PV-RCNN++: Point-voxel feature set abstraction with local vector representation for 3D ob- ject detection
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T16:49:24.179240Z
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 3503a99c-a7b1-4b3e-a0e2-490449d126b4 · outbound
This paper cites Scalability in perception for autonomous driving: Waymo Open Dataset.
VADet: Multi-frame LiDAR 3D Object Detection using Variable Aggregation Scalability in perception for autonomous driving: Waymo Open Dataset
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T16:49:24.159549Z
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 3be3c777-d259-4916-8f03-b455ed49f600 · outbound
This paper cites SWFormer: Sparse window transformer for 3D object detection in point clouds.
VADet: Multi-frame LiDAR 3D Object Detection using Variable Aggregation SWFormer: Sparse window transformer for 3D object detection in point clouds
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T16:49:24.141315Z
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 cb33a4d2-3f07-4a5c-a920-3687092794fc · outbound
This paper cites DSVT: Dynamic sparse voxel transformer with ro- tated sets.
VADet: Multi-frame LiDAR 3D Object Detection using Variable Aggregation DSVT: Dynamic sparse voxel transformer with ro- tated sets
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T16:49:24.120014Z
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 7a1c93d1-899b-4a74-a2a1-53c50e72d933 · outbound
This paper cites 3D-MAN: 3D multi-frame attention network for object detection.
VADet: Multi-frame LiDAR 3D Object Detection using Variable Aggregation 3D-MAN: 3D multi-frame attention network for object detection
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T16:49:24.093963Z
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 0a9d1bab-d984-4964-81b7-207535d2e0d3 · outbound
This paper cites LiDAR-based online 3D video object detection with graph-based message passing and spatiotemporal transformer attention.
VADet: Multi-frame LiDAR 3D Object Detection using Variable Aggregation LiDAR-based online 3D video object detection with graph-based message passing and spatiotemporal transformer attention
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T16:49:24.072161Z
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 45bd0659-bb8d-4795-9ff9-2062a65d077d · outbound
This paper cites Center-based 3D object detection and tracking.
VADet: Multi-frame LiDAR 3D Object Detection using Variable Aggregation Center-based 3D object detection and tracking
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T16:49:24.050817Z
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 a934e7e5-f0dd-4af0-9ddd-3ffc041fc31f · outbound
This paper cites CenterFormer: Center- based transformer for 3D object detection.
VADet: Multi-frame LiDAR 3D Object Detection using Variable Aggregation CenterFormer: Center- based transformer for 3D object detection
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T16:49:24.031115Z
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 cf474f4e-35ac-48a6-9deb-ebd6a3c85216 · outbound
This paper cites 1, 2, 3, 6.
VADet: Multi-frame LiDAR 3D Object Detection using Variable Aggregation 1, 2, 3, 6
Reference 2022
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T16:49:24.399687Z
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.