Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-05-12T02:02:43.011302Z
Paper Citation Record · LEDGER
Unified Modeling of Lane and Lane Topology for Driving Scene Reasoning
As of 6 August 2026, this Paper Citation Record lists 65 of 65 outbound references and 0 inbound Pith citation observations for arXiv:2605.08911.
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 2026-08-06T06:34:29.942622+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
65 of 65 outbound references displayed
- verified exact13
- verified fuzzy52
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 5981b6eb-7837-48f5-9333-c5810860fea5 · outbound
This paper cites nuScenes: A multimodal dataset for autonomous driving.
Unified Modeling of Lane and Lane Topology for Driving Scene Reasoning nuScenes: A multimodal dataset for autonomous driving
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T00:16:57.753186Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation a24b43a7-eb21-4e24-951b-3ef2bc8a2d87 · outbound
This paper cites Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting.
Unified Modeling of Lane and Lane Topology for Driving Scene Reasoning Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting
Reference 2
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T20:16:37.618269Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 19ac38ec-6a60-4ca0-91c2-6c2c7d7906bc · outbound
This paper cites Scalability in Perception for Autonomous Driving: Waymo Open Dataset.
Unified Modeling of Lane and Lane Topology for Driving Scene Reasoning Scalability in Perception for Autonomous Driving: Waymo Open Dataset
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T00:16:57.750417Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation efbec5b5-d1b2-4204-931e-1003faf25ea1 · outbound
This paper cites Planning-oriented Autonomous Driving.
Unified Modeling of Lane and Lane Topology for Driving Scene Reasoning Planning-oriented Autonomous Driving
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T00:16:57.747978Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation a038b6d7-ba3e-453e-9ef4-bc30ca0a729c · outbound
This paper cites V AD: Vectorized Scene Representation for Efficient Autonomous Driving.
Unified Modeling of Lane and Lane Topology for Driving Scene Reasoning V AD: Vectorized Scene Representation for Efficient Autonomous Driving
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T00:16:57.742810Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation b1a04c7e-d7d1-4720-b187-317224ce56f7 · outbound
This paper cites OpenLane-V2: A Topology Reasoning Bench- mark for Unified 3D HD Mapping.
Unified Modeling of Lane and Lane Topology for Driving Scene Reasoning OpenLane-V2: A Topology Reasoning Bench- mark for Unified 3D HD Mapping
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T00:16:57.745532Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 308420d2-d976-4ed5-9a40-2efd08dfd035 · outbound
This paper cites Graph-based Topology Reasoning for Driving Scenes.
Unified Modeling of Lane and Lane Topology for Driving Scene Reasoning Graph-based Topology Reasoning for Driving Scenes
Reference 7
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T02:06:15.464338Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 97ee2470-6a11-424e-992a-652a14fb9fb5 · outbound
This paper cites TopoMLP: A Simple yet Strong Pipeline for Driving Topology Reasoning.
Unified Modeling of Lane and Lane Topology for Driving Scene Reasoning TopoMLP: A Simple yet Strong Pipeline for Driving Topology Reasoning
Reference 8
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T02:06:15.472930Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 701f8008-b3bb-492f-bab1-9a6e34eda63c · outbound
This paper cites Enhancing 3D Lane Detection and Topology Reasoning with 2D Lane Priors.
Unified Modeling of Lane and Lane Topology for Driving Scene Reasoning Enhancing 3D Lane Detection and Topology Reasoning with 2D Lane Priors
Reference 9
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T02:06:15.461489Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 95cbc7af-ac7c-4519-8b2f-0ecd0eaab990 · outbound
This paper cites TopoLogic: An Interpretable Pipeline for Lane Topology Reasoning on Driving Scenes.
Unified Modeling of Lane and Lane Topology for Driving Scene Reasoning TopoLogic: An Interpretable Pipeline for Lane Topology Reasoning on Driving Scenes
Reference 10
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T02:06:15.481526Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 610c8449-78fe-4a7a-8f44-23533193e39a · outbound
This paper cites RoadPainter: Points Are Ideal Navigators for Topology TransformER.
Unified Modeling of Lane and Lane Topology for Driving Scene Reasoning RoadPainter: Points Are Ideal Navigators for Topology TransformER
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T00:16:57.702821Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation a4a3edc2-b0dd-4f33-86af-750ffb4f084c · outbound
This paper cites Driving Scene Un- derstanding with Traffic Scene-Assisted Topology Graph Transformer.
Unified Modeling of Lane and Lane Topology for Driving Scene Reasoning Driving Scene Un- derstanding with Traffic Scene-Assisted Topology Graph Transformer
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T00:16:57.707228Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation b6435b8f-8c3f-421f-9215-0a0c72235183 · outbound
This paper cites T2SG: Traffic Topology Scene Graph for Topology Reasoning in Autonomous Driving.
Unified Modeling of Lane and Lane Topology for Driving Scene Reasoning T2SG: Traffic Topology Scene Graph for Topology Reasoning in Autonomous Driving
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T00:16:57.695709Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation e8e383fb-94ef-4fd7-a1ff-ebc218a64366 · outbound
This paper cites Augmenting Lane Perception and Topology Under- standing with Standard Definition Navigation Maps.
Unified Modeling of Lane and Lane Topology for Driving Scene Reasoning Augmenting Lane Perception and Topology Under- standing with Standard Definition Navigation Maps
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T00:16:57.700652Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 007d9e07-8aca-45a8-924c-9712c1b6ac0f · outbound
This paper cites LaneSegNet: Map Learning with Lane Segment Perception for Autonomous Driving.
Unified Modeling of Lane and Lane Topology for Driving Scene Reasoning LaneSegNet: Map Learning with Lane Segment Perception for Autonomous Driving
Reference 15
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T02:06:15.486740Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation c7f34ade-d6e7-4de2-b622-4b4fcf53f91f · outbound
This paper cites Semi-Supervised Classification with Graph Convolutional Networks.
Unified Modeling of Lane and Lane Topology for Driving Scene Reasoning Semi-Supervised Classification with Graph Convolutional Networks
Reference 16
- Resolution
- verified exact
- local_arxiv, observed 2026-05-12T02:06:15.483961Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation d81114a3-89d4-45b7-ad54-4e1f18f959d9 · outbound
This paper cites Deformable DETR: Deformable Transformers for End-to-End Object Detection.
Unified Modeling of Lane and Lane Topology for Driving Scene Reasoning Deformable DETR: Deformable Transformers for End-to-End Object Detection
Reference 17
- Resolution
- verified exact
- local_arxiv, observed 2026-05-12T02:06:15.489353Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation f88c334a-06cf-4089-b6bc-d71cf58a0f3b · outbound
This paper cites Line-CNN: End-to-End Traffic Line Detection With Line Proposal Unit.
Unified Modeling of Lane and Lane Topology for Driving Scene Reasoning Line-CNN: End-to-End Traffic Line Detection With Line Proposal Unit
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T00:16:57.736059Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation bcef4545-3be2-47a8-afee-ea5955eb33fc · outbound
This paper cites Keep your Eyes on the Lane: Real-time Attention- guided Lane Detection.
Unified Modeling of Lane and Lane Topology for Driving Scene Reasoning Keep your Eyes on the Lane: Real-time Attention- guided Lane Detection
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T00:16:57.686327Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 46a571f1-71e9-42bd-ae43-b5f9ff0cddb2 · outbound
This paper cites CLRNet: Cross Layer Refinement Network for Lane Detection.
Unified Modeling of Lane and Lane Topology for Driving Scene Reasoning CLRNet: Cross Layer Refinement Network for Lane Detection
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T00:16:57.731948Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 5c3527de-7b52-4237-b432-c94e253a50c3 · outbound
This paper cites CLRNetV2: A Faster and Stronger Lane Detector.
Unified Modeling of Lane and Lane Topology for Driving Scene Reasoning CLRNetV2: A Faster and Stronger Lane Detector
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T00:16:57.733998Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation ba37919a-93d1-4b12-8c07-b6dd5c4ea902 · outbound
This paper cites Dense Hybrid Proposal Modulation for Lane Detection.
Unified Modeling of Lane and Lane Topology for Driving Scene Reasoning Dense Hybrid Proposal Modulation for Lane Detection
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T00:16:57.683839Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation ed472206-4e11-445b-885e-aa05e7d48143 · outbound
This paper cites SMFRNet: Complex Scene Lane Detec- tion With Start Point-Guided Multi-Dimensional Feature Refinement.
Unified Modeling of Lane and Lane Topology for Driving Scene Reasoning SMFRNet: Complex Scene Lane Detec- tion With Start Point-Guided Multi-Dimensional Feature Refinement
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T00:16:57.691622Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation fdd50256-29cc-495e-ae37-a311a873ba91 · outbound
This paper cites VIL-100: A New Dataset and A Baseline Model for Video Instance Lane Detection.
Unified Modeling of Lane and Lane Topology for Driving Scene Reasoning VIL-100: A New Dataset and A Baseline Model for Video Instance Lane Detection
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T00:16:57.693689Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 3cce1432-b248-4458-8f68-6d180aedffc1 · outbound
This paper cites Recursive Video Lane Detection.
Unified Modeling of Lane and Lane Topology for Driving Scene Reasoning Recursive Video Lane Detection
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T00:16:57.704980Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation e95c68de-b7d7-4fdd-ac3f-a100b581d2ff · outbound
This paper cites STADet: Streaming Timing-Aware Video Lane Detection.
Unified Modeling of Lane and Lane Topology for Driving Scene Reasoning STADet: Streaming Timing-Aware Video Lane Detection
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T00:16:57.709604Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 2f62974a-7d5a-426a-9567-fc061533ba6f · outbound
This paper cites LaneTCA: Enhancing Video Lane Detection With Temporal Context Aggregation.
Unified Modeling of Lane and Lane Topology for Driving Scene Reasoning LaneTCA: Enhancing Video Lane Detection With Temporal Context Aggregation
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T00:16:57.719278Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation c4b832d5-fd87-45dc-8242-6c49ea033023 · outbound
This paper cites 3D-LaneNet: End-to-End 3D Multiple Lane Detection.
Unified Modeling of Lane and Lane Topology for Driving Scene Reasoning 3D-LaneNet: End-to-End 3D Multiple Lane Detection
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T00:16:57.738152Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 32f319a3-3d12-49fe-bcdd-ff37dd141517 · outbound
This paper cites Gen-LaneNet: A Generalized and Scalable Approach for 3D Lane Detection.
Unified Modeling of Lane and Lane Topology for Driving Scene Reasoning Gen-LaneNet: A Generalized and Scalable Approach for 3D Lane Detection
Reference 29
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T00:16:57.668924Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 7426653a-a986-484e-99f8-9b39a5e91f4a · outbound
This paper cites 3D-LaneNet+: Anchor Free Lane Detection using a Semi-Local Representation.
Unified Modeling of Lane and Lane Topology for Driving Scene Reasoning 3D-LaneNet+: Anchor Free Lane Detection using a Semi-Local Representation
Reference 30
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T02:06:15.492280Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 9b1f94b5-33ca-4a91-b423-b882538cd917 · outbound
This paper cites Learning to Predict 3D Lane Shape and Camera Pose from a Single Image via Geometry Constraints.
Unified Modeling of Lane and Lane Topology for Driving Scene Reasoning Learning to Predict 3D Lane Shape and Camera Pose from a Single Image via Geometry Constraints
Reference 31
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T00:16:57.659369Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation a9c92821-55ce-469e-9bd4-93ea3c3b705e · outbound
This paper cites PersFormer: 3D Lane Detection via Perspective Transformer and the OpenLane Benchmark.
Unified Modeling of Lane and Lane Topology for Driving Scene Reasoning PersFormer: 3D Lane Detection via Perspective Transformer and the OpenLane Benchmark
Reference 32
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T00:16:57.663706Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 591cbab4-30d2-4a80-a800-35953e5b0070 · outbound
This paper cites Anchor3DLane: Learning to Regress 3D Anchors for Monocular 3D Lane Detection.
Unified Modeling of Lane and Lane Topology for Driving Scene Reasoning Anchor3DLane: Learning to Regress 3D Anchors for Monocular 3D Lane Detection
Reference 33
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T00:16:57.724766Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation d46afd09-603c-4a5e-9ecc-f5032a17d18b · outbound
This paper cites Anchor3DLane++: 3D Lane Detection via Sample-Adaptive Sparse 3D Anchor Regression.
Unified Modeling of Lane and Lane Topology for Driving Scene Reasoning Anchor3DLane++: 3D Lane Detection via Sample-Adaptive Sparse 3D Anchor Regression
Reference 34
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T00:16:57.653834Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 3b502d89-cebf-4eb1-b188-d3f206b00947 · outbound
This paper cites LATR: 3D Lane Detection from Monocular Images with Transformer.
Unified Modeling of Lane and Lane Topology for Driving Scene Reasoning LATR: 3D Lane Detection from Monocular Images with Transformer
Reference 35
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T00:16:57.656362Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 51ebde85-61cf-4894-b1e3-1097463f1634 · outbound
This paper cites Cross-view Semantic Segmentation for Sensing Surroundings.
Unified Modeling of Lane and Lane Topology for Driving Scene Reasoning Cross-view Semantic Segmentation for Sensing Surroundings
Reference 36
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T00:16:57.661623Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 5a73605c-2f09-49b0-9a80-f11a47022c68 · outbound
This paper cites Cross-View Transformers for Real-Time Map-View Semantic Segmentation.
Unified Modeling of Lane and Lane Topology for Driving Scene Reasoning Cross-View Transformers for Real-Time Map-View Semantic Segmentation
Reference 37
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T00:16:57.647783Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation dd34156d-124a-4152-b17f-0f3b98c76700 · outbound
This paper cites Efficient and Robust 2D-to-BEV Representation Learning via Geometry-guided Kernel Transformer.
Unified Modeling of Lane and Lane Topology for Driving Scene Reasoning Efficient and Robust 2D-to-BEV Representation Learning via Geometry-guided Kernel Transformer
Reference 38
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T02:06:15.476059Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 58eed310-db32-4f83-b6dc-22a2f0b51f68 · outbound
This paper cites HDMapNet: An Online HD Map Construction and Evaluation Framework.
Unified Modeling of Lane and Lane Topology for Driving Scene Reasoning HDMapNet: An Online HD Map Construction and Evaluation Framework
Reference 39
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T00:16:57.712028Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 45b5ccf8-b412-4c8b-8f15-cf894315cb3b · outbound
This paper cites VectorMapNet: End- to-end Vectorized HD Map Learning.
Unified Modeling of Lane and Lane Topology for Driving Scene Reasoning VectorMapNet: End- to-end Vectorized HD Map Learning
Reference 40
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T00:16:57.671766Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 5e811464-e8a1-49ff-aec5-f59d8fc10a39 · outbound
This paper cites MapTR: Structured Modeling and Learning for Online Vectorized HD Map Construction.
Unified Modeling of Lane and Lane Topology for Driving Scene Reasoning MapTR: Structured Modeling and Learning for Online Vectorized HD Map Construction
Reference 41
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T02:06:15.478876Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation e7a8dd7b-3d2d-4086-8b97-587ad53cad4a · outbound
This paper cites MapTRv2: An End-to-End Framework for Online Vectorized HD Map Construction.
Unified Modeling of Lane and Lane Topology for Driving Scene Reasoning MapTRv2: An End-to-End Framework for Online Vectorized HD Map Construction
Reference 42
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T02:06:15.470013Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 941ddc95-e404-4739-b8eb-6bc2cba9d637 · outbound
This paper cites Leveraging Enhanced Queries of Point Sets for Vectorized Map Construction.
Unified Modeling of Lane and Lane Topology for Driving Scene Reasoning Leveraging Enhanced Queries of Point Sets for Vectorized Map Construction
Reference 43
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T00:16:57.740597Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 3ded3529-c016-4158-a36d-27584beb6fe0 · outbound
This paper cites StreamMapNet: Streaming Mapping Network for Vectorized Online HD Map Con- struction.
Unified Modeling of Lane and Lane Topology for Driving Scene Reasoning StreamMapNet: Streaming Mapping Network for Vectorized Online HD Map Con- struction
Reference 44
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T00:16:57.674366Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 878f271a-afa9-47b3-9c80-63570570101c · outbound
This paper cites Structured Bird’s-Eye-View Traffic Scene Understanding from Onboard Images.
Unified Modeling of Lane and Lane Topology for Driving Scene Reasoning Structured Bird’s-Eye-View Traffic Scene Understanding from Onboard Images
Reference 45
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T00:16:57.729757Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation c2b253ff-98cf-4d2a-997c-053716774536 · outbound
This paper cites End-to-End Object Detection with Transformers.
Unified Modeling of Lane and Lane Topology for Driving Scene Reasoning End-to-End Object Detection with Transformers
Reference 46
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T00:16:57.645296Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 1ca07cc9-c67d-4b15-b8cd-1e23cb72cc04 · outbound
This paper cites CenterLineDet: CenterLine Graph Detection for Road Lanes with Vehicle-mounted Sensors by Transformer for HD Map Generation.
Unified Modeling of Lane and Lane Topology for Driving Scene Reasoning CenterLineDet: CenterLine Graph Detection for Road Lanes with Vehicle-mounted Sensors by Transformer for HD Map Generation
Reference 47
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T00:16:57.714610Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 8d4065ee-39c1-4c1e-8277-983632139629 · outbound
This paper cites Lane Graph as Path: Continuity-preserving Path-wise Modeling for Online Lane Graph Construction.
Unified Modeling of Lane and Lane Topology for Driving Scene Reasoning Lane Graph as Path: Continuity-preserving Path-wise Modeling for Online Lane Graph Construction
Reference 48
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T00:16:57.717065Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 72b8800b-797f-4d4a-a175-1ca26e4f7908 · outbound
This paper cites Continuity Preserving Online CenterLine Graph Learning.
Unified Modeling of Lane and Lane Topology for Driving Scene Reasoning Continuity Preserving Online CenterLine Graph Learning
Reference 49
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T00:16:57.678983Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 8701978a-efbb-499b-abcb-efe5182bbfa5 · outbound
This paper cites RATopo: Improving Lane Topology Reasoning via Redundancy Assignment.
Unified Modeling of Lane and Lane Topology for Driving Scene Reasoning RATopo: Improving Lane Topology Reasoning via Redundancy Assignment
Reference 50
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T00:16:57.676705Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 31aa4d49-3704-483d-839f-9b303d75e753 · outbound
This paper cites SafeDriveRAG: Towards Safe Autonomous Driving with Knowledge Graph-based Retrieval- Augmented Generation.
Unified Modeling of Lane and Lane Topology for Driving Scene Reasoning SafeDriveRAG: Towards Safe Autonomous Driving with Knowledge Graph-based Retrieval- Augmented Generation
Reference 51
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T00:16:57.650758Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation d18c5891-c016-4051-adcf-0f48ffd7e79c · outbound
This paper cites SGFormer: Semantic Graph Transformer for Point Cloud-based 3D Scene Graph Generation.
Unified Modeling of Lane and Lane Topology for Driving Scene Reasoning SGFormer: Semantic Graph Transformer for Point Cloud-based 3D Scene Graph Generation
Reference 52
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T00:16:57.666206Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 4a203d9c-bd7c-499b-8faf-7448c4c320c6 · outbound
This paper cites Attentive Relational Networks for Mapping Images to Scene Graphs.
Unified Modeling of Lane and Lane Topology for Driving Scene Reasoning Attentive Relational Networks for Mapping Images to Scene Graphs
Reference 53
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T00:16:57.681371Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation bc9f5ac6-df5c-4c3c-8ec2-a2800286c193 · outbound
This paper cites Deep Residual Learning for Image Recognition.
Unified Modeling of Lane and Lane Topology for Driving Scene Reasoning Deep Residual Learning for Image Recognition
Reference 54
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T00:16:57.635451Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 76593b53-8384-44ac-9372-962550562f71 · outbound
This paper cites Feature Pyramid Networks for Object Detection.
Unified Modeling of Lane and Lane Topology for Driving Scene Reasoning Feature Pyramid Networks for Object Detection
Reference 55
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T00:16:57.722481Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 5406fdb5-c0d5-492c-8846-bb13688c8140 · outbound
This paper cites BEV- Former: Learning Bird’s-Eye-View Representation from Multi-Camera Images via Spatiotemporal Transformers.
Unified Modeling of Lane and Lane Topology for Driving Scene Reasoning BEV- Former: Learning Bird’s-Eye-View Representation from Multi-Camera Images via Spatiotemporal Transformers
Reference 56
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T00:16:57.726973Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 00156f3d-c6f6-4374-890a-0f2e99ddcc56 · outbound
This paper cites Focal Loss for Dense Object Detection.
Unified Modeling of Lane and Lane Topology for Driving Scene Reasoning Focal Loss for Dense Object Detection
Reference 57
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T00:16:57.689121Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation fbc75c76-d4f2-496d-be75-5312a9f60623 · outbound
This paper cites Generalized Intersection over Union: A Metric and A Loss for Bound- ing Box Regression.
Unified Modeling of Lane and Lane Topology for Driving Scene Reasoning Generalized Intersection over Union: A Metric and A Loss for Bound- ing Box Regression
Reference 58
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T00:16:57.632748Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 427e572f-b107-4348-8da5-71e6afe5619b · outbound
This paper cites Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks.
Unified Modeling of Lane and Lane Topology for Driving Scene Reasoning Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
Reference 59
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T00:16:57.642691Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 06a73b08-aa02-47bf-98e4-c2cc0674f662 · outbound
This paper cites Group DETR: Fast DETR Training with Group-Wise One-to-Many Assignment.
Unified Modeling of Lane and Lane Topology for Driving Scene Reasoning Group DETR: Fast DETR Training with Group-Wise One-to-Many Assignment
Reference 60
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T00:16:57.638415Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation b7e371e3-6daf-4bcf-9956-1ed1ca74f428 · outbound
This paper cites DETRs with Hybrid Matching.
Unified Modeling of Lane and Lane Topology for Driving Scene Reasoning DETRs with Hybrid Matching
Reference 61
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T00:16:57.630090Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 23e483f1-e060-4432-8c03-7458773777d8 · outbound
This paper cites Decoupled Weight Decay Regularization.
Unified Modeling of Lane and Lane Topology for Driving Scene Reasoning Decoupled Weight Decay Regularization
Reference 62
- Resolution
- verified exact
- local_arxiv, observed 2026-05-12T02:06:15.467016Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 30fc4c7d-d7e5-41d9-ae3d-24d954cdb292 · outbound
This paper cites Taking A Closer Look at Domain Shift: Category-level Adversaries for Semantics Consistent Domain Adaptation.
Unified Modeling of Lane and Lane Topology for Driving Scene Reasoning Taking A Closer Look at Domain Shift: Category-level Adversaries for Semantics Consistent Domain Adaptation
Reference 63
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T00:16:57.628161Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 8ac920d6-e192-4495-8282-42dc2adf6598 · outbound
This paper cites Category-Level Adversarial Adaptation for Semantic Segmentation using Purified Fea- tures.
Unified Modeling of Lane and Lane Topology for Driving Scene Reasoning Category-Level Adversarial Adaptation for Semantic Segmentation using Purified Fea- tures
Reference 64
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T00:16:57.697982Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 890993fd-316e-4dfb-a09d-8c453cd34cb6 · outbound
This paper cites Kill Two Birds with One Stone: Domain Generalization for Semantic Segmentation via Network Pruning.
Unified Modeling of Lane and Lane Topology for Driving Scene Reasoning Kill Two Birds with One Stone: Domain Generalization for Semantic Segmentation via Network Pruning
Reference 65
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T00:16:57.625992Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Pith citing papers
No inbound Pith citation observations are available.