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Paper Citation Record · LEDGER

Enhancing Lane Segment Perception and Topology Reasoning with Crowdsourcing Trajectory Priors

As of 13 August 2026, this Paper Citation Record lists 36 of 36 outbound references and 0 inbound Pith citation observations for arXiv:2411.17161.

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

pith.paper-citation-record.v1
2411.17161 v2

Coverage vector

measured 36 of 36 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T12:30:34.789098Z

measured 36 of 36 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

36 of 36 outbound references displayed

  • verified exact0
  • verified fuzzy21
  • unresolved15
  • parse uncertain0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 203f9091-6e84-44a8-9349-d229b407c70d · outbound

This paper cites Augmenting lane perception and topol- ogy understanding with standard definition navigation maps,.

Enhancing Lane Segment Perception and Topology Reasoning with Crowdsourcing Trajectory Priors Augmenting lane perception and topol- ogy understanding with standard definition navigation maps,

Reference 1

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation c5ffc4a3-31fb-4efd-8cd3-b30e470f7890 · outbound

This paper cites Neural map prior for autonomous driving,.

Enhancing Lane Segment Perception and Topology Reasoning with Crowdsourcing Trajectory Priors Neural map prior for autonomous driving,

Reference 2

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 933269e7-3140-4795-b330-b614aa41fdd7 · outbound

This paper cites Complement- ing onboard sensors with satellite maps: A new perspective for hd map construction,.

Enhancing Lane Segment Perception and Topology Reasoning with Crowdsourcing Trajectory Priors Complement- ing onboard sensors with satellite maps: A new perspective for hd map construction,

Reference 3

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation cccf2514-e774-4c4f-98be-f718726b16a3 · outbound

This paper cites Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting.

Enhancing Lane Segment Perception and Topology Reasoning with Crowdsourcing Trajectory Priors Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting

Reference 4

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 48430aef-630e-4b5b-9d7d-39c565ec4a1f · outbound

This paper cites Structured bird’s-eye-view traffic scene understanding from onboard images,.

Enhancing Lane Segment Perception and Topology Reasoning with Crowdsourcing Trajectory Priors Structured bird’s-eye-view traffic scene understanding from onboard images,

Reference 5

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 1da5f6d1-f753-4864-895c-5302d27ab4f9 · outbound

This paper cites Topology preserving local road network estimation from single onboard camera image,.

Enhancing Lane Segment Perception and Topology Reasoning with Crowdsourcing Trajectory Priors Topology preserving local road network estimation from single onboard camera image,

Reference 6

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 4562e8a8-5499-4c51-ad31-c2b99cdd020e · outbound

This paper cites RoadPainter: Points Are Ideal Navigators for Topology transformER.

Enhancing Lane Segment Perception and Topology Reasoning with Crowdsourcing Trajectory Priors RoadPainter: Points Are Ideal Navigators for Topology transformER

Reference 7

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 7e636328-a785-4d85-aeef-8b0875771f2a · outbound

This paper cites Lane Graph as Path: Continuity-preserving Path-wise Modeling for Online Lane Graph Construction.

Enhancing Lane Segment Perception and Topology Reasoning with Crowdsourcing Trajectory Priors Lane Graph as Path: Continuity-preserving Path-wise Modeling for Online Lane Graph Construction

Reference 8

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Observation 101246cb-9b97-45fc-b744-6d0d7280a786 · outbound

This paper cites Lanesegnet: Map learning with lane segment perception for autonomous driving,.

Enhancing Lane Segment Perception and Topology Reasoning with Crowdsourcing Trajectory Priors Lanesegnet: Map learning with lane segment perception for autonomous driving,

Reference 9

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T12:30:34.481195Z digest=sha256:4e65dc5b933e2d907cda674a4055cf3aec09503e35fac5bd7da512af5ffd9b32

Observation 80a7f240-94e7-4bba-875e-6b1e13d68841 · outbound

This paper cites Tesla ai day,.

Enhancing Lane Segment Perception and Topology Reasoning with Crowdsourcing Trajectory Priors Tesla ai day,

Reference 10

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 0c5ab4a1-05dc-48de-a856-6997fc4c30a1 · outbound

This paper cites Translating images to road network: A non-autoregressive sequence- to-sequence approach,.

Enhancing Lane Segment Perception and Topology Reasoning with Crowdsourcing Trajectory Priors Translating images to road network: A non-autoregressive sequence- to-sequence approach,

Reference 11

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 59b4d74c-e782-46aa-88ce-a3608932fd66 · outbound

This paper cites Lanegraph2seq: Lane topology extraction with language model via vertex-edge encoding and connectivity enhancement,.

Enhancing Lane Segment Perception and Topology Reasoning with Crowdsourcing Trajectory Priors Lanegraph2seq: Lane topology extraction with language model via vertex-edge encoding and connectivity enhancement,

Reference 12

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation d1ff1ce4-3575-445c-aed6-62caad27fe82 · outbound

This paper cites Openlane-v2: A topology reasoning bench- mark for unified 3d hd mapping,.

Enhancing Lane Segment Perception and Topology Reasoning with Crowdsourcing Trajectory Priors Openlane-v2: A topology reasoning bench- mark for unified 3d hd mapping,

Reference 13

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T12:30:34.515906Z digest=sha256:bb24411dd06022465814257b76d74211d750ddc54032acf830cd0a4056151146

Observation 11f1b2e0-ec2f-43cf-ab28-def8d8e22e22 · outbound

This paper cites Graph-based Topology Reasoning for Driving Scenes.

Enhancing Lane Segment Perception and Topology Reasoning with Crowdsourcing Trajectory Priors Graph-based Topology Reasoning for Driving Scenes

Reference 14

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Unavailable: canonical work link unavailable.

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Observation 5e102228-8afc-436c-98ce-95a6fc51980e · outbound

This paper cites TopoMaskV2: Enhanced Instance-Mask-Based Formulation for the Road Topology Problem.

Enhancing Lane Segment Perception and Topology Reasoning with Crowdsourcing Trajectory Priors TopoMaskV2: Enhanced Instance-Mask-Based Formulation for the Road Topology Problem

Reference 15

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Observation 140b48f3-2849-42a3-a083-89ca3d3c63ae · outbound

This paper cites TopoMLP: A Simple yet Strong Pipeline for Driving Topology Reasoning.

Enhancing Lane Segment Perception and Topology Reasoning with Crowdsourcing Trajectory Priors TopoMLP: A Simple yet Strong Pipeline for Driving Topology Reasoning

Reference 16

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Observation db92b65f-4744-4de2-8d5c-caba36fe7402 · outbound

This paper cites Mapprior: Bird’s-eye view map layout estimation with generative models,.

Enhancing Lane Segment Perception and Topology Reasoning with Crowdsourcing Trajectory Priors Mapprior: Bird’s-eye view map layout estimation with generative models,

Reference 17

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 11c8494f-76cd-4088-95fc-55675f99201f · outbound

This paper cites Streammapnet: Streaming mapping network for vectorized online hd map construction,.

Enhancing Lane Segment Perception and Topology Reasoning with Crowdsourcing Trajectory Priors Streammapnet: Streaming mapping network for vectorized online hd map construction,

Reference 18

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 3bfce0c3-894b-47f8-91ab-36916a0ebdf0 · outbound

This paper cites Diffmap: Enhancing map segmentation with map prior using diffusion model,.

Enhancing Lane Segment Perception and Topology Reasoning with Crowdsourcing Trajectory Priors Diffmap: Enhancing map segmentation with map prior using diffusion model,

Reference 19

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 2a225168-2b6b-4fef-9544-5d0f012f4885 · outbound

This paper cites Maplite 2.0: Online hd map inference using a prior sd map,.

Enhancing Lane Segment Perception and Topology Reasoning with Crowdsourcing Trajectory Priors Maplite 2.0: Online hd map inference using a prior sd map,

Reference 20

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T12:30:34.617471Z digest=sha256:ff1941026b279a03ad4fd96d65712843fb2f34a49db7d4a3bee033b5e2f63c10

Observation 11a01441-4007-4fe4-a9c0-a1e083a347dd · outbound

This paper cites PriorMapNet: Enhancing Online Vectorized HD Map Construction with Priors.

Enhancing Lane Segment Perception and Topology Reasoning with Crowdsourcing Trajectory Priors PriorMapNet: Enhancing Online Vectorized HD Map Construction with Priors

Reference 21

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Observation 4605c09b-06f6-424f-955e-a8045ac42e00 · outbound

This paper cites Mind the map! Accounting for existing map information when estimating online HDMaps from sensor.

Enhancing Lane Segment Perception and Topology Reasoning with Crowdsourcing Trajectory Priors Mind the map! Accounting for existing map information when estimating online HDMaps from sensor

Reference 22

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Observation 264d6370-3cf3-4e87-ab4a-7e3fda52d6f3 · outbound

This paper cites P-MapNet: Far-seeing Map Generator Enhanced by both SDMap and HDMap Priors.

Enhancing Lane Segment Perception and Topology Reasoning with Crowdsourcing Trajectory Priors P-MapNet: Far-seeing Map Generator Enhanced by both SDMap and HDMap Priors

Reference 23

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Observation 3cab69bd-b879-483b-95ba-05f7a9668232 · outbound

This paper cites Autograph: Predicting lane graphs from traffic observations,.

Enhancing Lane Segment Perception and Topology Reasoning with Crowdsourcing Trajectory Priors Autograph: Predicting lane graphs from traffic observations,

Reference 24

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raw_fallback, observed 2026-08-12T12:30:35.837741Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 46a6e682-7ca5-4ffe-900e-d74678c8ae63 · outbound

This paper cites Lanedag: Automatic hd map topology generator based on geometry and attention fusion mechanism,.

Enhancing Lane Segment Perception and Topology Reasoning with Crowdsourcing Trajectory Priors Lanedag: Automatic hd map topology generator based on geometry and attention fusion mechanism,

Reference 25

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raw_fallback, observed 2026-08-12T12:30:35.811935Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 2c3c726c-f894-4c63-854c-a4a54de6aecc · outbound

This paper cites Trajectory clustering: a partition- and-group framework,.

Enhancing Lane Segment Perception and Topology Reasoning with Crowdsourcing Trajectory Priors Trajectory clustering: a partition- and-group framework,

Reference 26

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raw_fallback, observed 2026-08-12T12:30:35.761514Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation c9a49455-20d1-44c4-b4eb-16733c8072ad · outbound

This paper cites Crossing intersections: A tool for investigating road user pathways,.

Enhancing Lane Segment Perception and Topology Reasoning with Crowdsourcing Trajectory Priors Crossing intersections: A tool for investigating road user pathways,

Reference 27

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raw_fallback, observed 2026-08-12T12:30:35.716316Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation eef5d349-1d5c-461d-8394-c10ccdac6cf2 · outbound

This paper cites Genetic k-means algorithm,.

Enhancing Lane Segment Perception and Topology Reasoning with Crowdsourcing Trajectory Priors Genetic k-means algorithm,

Reference 28

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Unavailable: canonical work link unavailable.

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Observation 00a4022d-008a-4592-a4f4-a3a4b946705e · outbound

This paper cites Bevformer: Learning bird’s-eye-view representation from multi-camera images via spatiotemporal transformers,.

Enhancing Lane Segment Perception and Topology Reasoning with Crowdsourcing Trajectory Priors Bevformer: Learning bird’s-eye-view representation from multi-camera images via spatiotemporal transformers,

Reference 29

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation cf639040-aa1b-472e-a55a-ee103a1bfdb1 · outbound

This paper cites Learning Spatial Fusion for Single-Shot Object Detection.

Enhancing Lane Segment Perception and Topology Reasoning with Crowdsourcing Trajectory Priors Learning Spatial Fusion for Single-Shot Object Detection

Reference 30

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation a8b33155-86f0-40c6-bed0-fc9b928745f6 · outbound

This paper cites Semantic flow for fast and accurate scene parsing,.

Enhancing Lane Segment Perception and Topology Reasoning with Crowdsourcing Trajectory Priors Semantic flow for fast and accurate scene parsing,

Reference 31

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raw_fallback, observed 2026-08-12T12:30:35.635474Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 30f9a1e3-b331-418a-8c31-8f47b7d87705 · outbound

This paper cites Decoupled Weight Decay Regularization.

Enhancing Lane Segment Perception and Topology Reasoning with Crowdsourcing Trajectory Priors Decoupled Weight Decay Regularization

Reference 32

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 41261207-0767-4f06-b061-f710cc84a783 · outbound

This paper cites Predicting semantic map representations from images using pyramid occupancy networks,.

Enhancing Lane Segment Perception and Topology Reasoning with Crowdsourcing Trajectory Priors Predicting semantic map representations from images using pyramid occupancy networks,

Reference 33

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raw_fallback, observed 2026-08-12T12:30:35.593377Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation c7083dbe-c5ba-46b7-be61-a155ebab3094 · outbound

This paper cites Localization is all you evaluate: Data leakage in online mapping datasets and how to fix it,.

Enhancing Lane Segment Perception and Topology Reasoning with Crowdsourcing Trajectory Priors Localization is all you evaluate: Data leakage in online mapping datasets and how to fix it,

Reference 34

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verified fuzzy
raw_fallback, observed 2026-08-12T12:30:35.558794Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T12:30:34.771715Z digest=sha256:b8127512dc83304c29606946abfd43ede3427fa1e0d87a19859e5eabde26d9e6

Observation 2784bc39-5880-4dda-8ad7-782cdc0abcb3 · outbound

This paper cites Maptr: Structured modeling and learning for online vectorized hd map construction,.

Enhancing Lane Segment Perception and Topology Reasoning with Crowdsourcing Trajectory Priors Maptr: Structured modeling and learning for online vectorized hd map construction,

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:30:35.503873Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T12:30:34.780451Z digest=sha256:d48eca1865a237fdedf84bf30c837dbf1deaff9422d8ac5f5a1476b79babda3a

Observation eb5f96d5-0b84-45f9-84e6-cbb1bf1336ac · outbound

This paper cites Maptrv2: An end-to-end framework for online vectorized hd map construction,.

Enhancing Lane Segment Perception and Topology Reasoning with Crowdsourcing Trajectory Priors Maptrv2: An end-to-end framework for online vectorized hd map construction,

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-12T12:30:34.789098Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Pith citing papers

No inbound Pith citation observations are available.