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Paper Citation Record · LEDGER

Inferring Driving Maps by Deep Learning-based Trail Map Extraction

As of 17 August 2026, this Paper Citation Record lists 36 of 36 outbound references and 0 inbound Pith citation observations for arXiv:2505.10258.

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

pith.paper-citation-record.v1
2505.10258 v1

Coverage vector

measured 36 of 36 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T21:17:27.369475Z

measured 36 of 36 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+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 exact5
  • verified fuzzy14
  • unresolved17
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 6fe0e834-43e7-400e-967c-3a35f93192e6 · outbound

This paper cites High-Definition Map Generation Technologies For Autonomous Driving.

Inferring Driving Maps by Deep Learning-based Trail Map Extraction High-Definition Map Generation Technologies For Autonomous Driving

Reference 1

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Observation 4c587b2e-38b5-47c0-afc8-7a24ac1ac95a · outbound

This paper cites Inferring Road Maps from Global Positioning System Traces: Survey and Com- parative Evaluation.

Inferring Driving Maps by Deep Learning-based Trail Map Extraction Inferring Road Maps from Global Positioning System Traces: Survey and Com- parative Evaluation

Reference 2

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 2f4047a6-ff2d-4c5b-a30f-5b1a5b2dc3bc · outbound

This paper cites nuScenes: A multimodal dataset for autonomous driving.

Inferring Driving Maps by Deep Learning-based Trail Map Extraction nuScenes: A multimodal dataset for autonomous driving

Reference 3

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Observation ee604c9a-c6a9-4d00-8bd7-ba44c4c5765b · outbound

This paper cites NuPlan: A closed-loop ML-based planning benchmark for autonomous vehicles.

Inferring Driving Maps by Deep Learning-based Trail Map Extraction NuPlan: A closed-loop ML-based planning benchmark for autonomous vehicles

Reference 4

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source=pdf_text observed=2026-08-15T21:17:27.184975Z digest=sha256:c8f2a6383d521e031f7a6422d6186a9683219c5015e186a5458e505d98425066

Observation 50832139-cf2d-474f-9aa6-d656a297b983 · outbound

This paper cites End-to-End Object Detection with Transformers.

Inferring Driving Maps by Deep Learning-based Trail Map Extraction End-to-End Object Detection with Transformers

Reference 5

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source=pdf_text observed=2026-08-15T21:17:27.193544Z digest=sha256:dd85e8c490a4004beed6c7a28d3b92e6f637e53508a34fce1754e284cae6f70d

Observation 72f6d617-8a66-44b1-aea8-ddc3d0715e3d · outbound

This paper cites MapTracker: Tracking with Strided Memory Fusion for Consistent Vector HD Mapping.

Inferring Driving Maps by Deep Learning-based Trail Map Extraction MapTracker: Tracking with Strided Memory Fusion for Consistent Vector HD Mapping

Reference 6

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Unavailable: canonical work link unavailable.

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Observation 28bf96bf-9aac-4bc2-adc2-37e755fe816d · outbound

This paper cites FocalFormer3D : Focusing on Hard Instance for 3D Object Detection.

Inferring Driving Maps by Deep Learning-based Trail Map Extraction FocalFormer3D : Focusing on Hard Instance for 3D Object Detection

Reference 7

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source=pdf_text observed=2026-08-15T21:17:27.204739Z digest=sha256:304fa115ed52261db419de0ef7c74b33be4ee633c203da60088b7d91f3bd6227

Observation 18a7b86c-cb4c-4f1e-9f9a-169e6d09fff1 · outbound

This paper cites HD Lane Map Generation Based on Trail Map Aggregation.

Inferring Driving Maps by Deep Learning-based Trail Map Extraction HD Lane Map Generation Based on Trail Map Aggregation

Reference 8

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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.

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Observation 0922d2dd-c59f-4eba-9eee-bfee2a96f501 · outbound

This paper cites Parting with Misconceptions about Learning-based Vehicle Motion Planning.

Inferring Driving Maps by Deep Learning-based Trail Map Extraction Parting with Misconceptions about Learning-based Vehicle Motion Planning

Reference 9

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source=pdf_text observed=2026-08-15T21:17:27.216699Z digest=sha256:fb935e68d8ff40e2d29bce1b7b04a6d0ab5fa826772bc0ce4a9b59492aeafa32

Observation f202727b-62aa-4490-ad5c-e77b225baa37 · outbound

This paper cites FlowMap: Path Generation for Automated Vehicles in Open Space Using Traffic Flow.

Inferring Driving Maps by Deep Learning-based Trail Map Extraction FlowMap: Path Generation for Automated Vehicles in Open Space Using Traffic Flow

Reference 10

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 4c58306e-8ef4-4433-adeb-65689da6754d · outbound

This paper cites an unresolved cited work.

Inferring Driving Maps by Deep Learning-based Trail Map Extraction Unresolved cited work

Reference 11

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 1a0f2b6a-ae8f-4bcc-961e-624a98441cb4 · outbound

This paper cites A Low-Cost Solution for Automatic Lane-Level Map Generation Using Conventional In-Car Sensors.

Inferring Driving Maps by Deep Learning-based Trail Map Extraction A Low-Cost Solution for Automatic Lane-Level Map Generation Using Conventional In-Car Sensors

Reference 12

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raw_fallback, observed 2026-08-15T21:17:27.867354Z

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.

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Observation 49ea0866-ba92-44a8-a72e-87055d272511 · outbound

This paper cites Machine Learning Assisted High-Definition Map Creation.

Inferring Driving Maps by Deep Learning-based Trail Map Extraction Machine Learning Assisted High-Definition Map Creation

Reference 13

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raw_fallback, observed 2026-08-15T21:17:27.852777Z

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.

source=pdf_text observed=2026-08-15T21:17:27.236993Z digest=sha256:89b27f81154ad528e704c3ef3c80ea239a5d621ad948606b91977ed1911b305f

Observation 1c17d903-a57b-4005-9de0-c917709b26b3 · outbound

This paper cites HD Map Update for Autonomous Driving With Crowdsourced Data.

Inferring Driving Maps by Deep Learning-based Trail Map Extraction HD Map Update for Autonomous Driving With Crowdsourced Data

Reference 14

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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.

source=pdf_text observed=2026-08-15T21:17:27.242799Z digest=sha256:c3bcaa5853b4205388dc6fc8217c4390dd63cbe131fe4ea84e47bb25c921ccd0

Observation c7ce29c2-c712-468f-8fe9-ae2cfbce60d4 · outbound

This paper cites HDMapNet: An Online HD Map Construction and Evaluation Framework.

Inferring Driving Maps by Deep Learning-based Trail Map Extraction HDMapNet: An Online HD Map Construction and Evaluation Framework

Reference 15

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source=pdf_text observed=2026-08-15T21:17:27.248605Z digest=sha256:5efb2cba678c2dbf5e089b0bcbf32c79ba739bc6f4d2cc274aca7c642d2ec0c4

Observation 3d56ae30-1966-4940-a016-587b264847de · outbound

This paper cites DTCLMapper: Dual Temporal Consistent Learning for Vectorized HD Map Construction.

Inferring Driving Maps by Deep Learning-based Trail Map Extraction DTCLMapper: Dual Temporal Consistent Learning for Vectorized HD Map Construction

Reference 16

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local_arxiv, observed 2026-08-15T21:17:27.602832Z

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.

source=pdf_text observed=2026-08-15T21:17:27.255220Z digest=sha256:265b72e78310e93e7c64a63a19b940d56b8fe8bfa30a63c3c5b139b8c0c7b513

Observation 821e91fc-b417-4882-b11e-3149b062078c · outbound

This paper cites MapTR: Structured Modeling and Learning for Online Vectorized HD Map Construction.

Inferring Driving Maps by Deep Learning-based Trail Map Extraction MapTR: Structured Modeling and Learning for Online Vectorized HD Map Construction

Reference 17

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:17:27.262293Z digest=sha256:4f212392d1d3a36c87fa7f3156b96d7567e3945b8a079989f8f86eff98797689

Observation b255f5cc-cc96-418c-b543-b687f2665b7c · outbound

This paper cites MapTRv2: An End-to-End Framework for Online Vectorized HD Map Construction.

Inferring Driving Maps by Deep Learning-based Trail Map Extraction MapTRv2: An End-to-End Framework for Online Vectorized HD Map Construction

Reference 18

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source=pdf_text observed=2026-08-15T21:17:27.267801Z digest=sha256:bc1d8f6fe8b44820bfedb03095ed91ffe7a20486831988ed363825bccaef5084

Observation d3f252ee-41b8-41b6-ac43-1bcb35037c02 · outbound

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

Inferring Driving Maps by Deep Learning-based Trail Map Extraction Lane Graph as Path: Continuity-preserving Path-wise Modeling for Online Lane Graph Construction

Reference 19

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source=pdf_text observed=2026-08-15T21:17:27.273910Z digest=sha256:cf156703b35d0f20bab84fab5a050b0378ce1facba64f8a53224eabe688ed705

Observation 932068d0-d911-4a31-95a8-a7162ec775b5 · outbound

This paper cites Localization is All You Evaluate: Data Leak- age in Online Mapping Datasets and How to Fix it.

Inferring Driving Maps by Deep Learning-based Trail Map Extraction Localization is All You Evaluate: Data Leak- age in Online Mapping Datasets and How to Fix it

Reference 20

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T21:17:27.278313Z digest=sha256:d136330ac2ccc3c2ff0db36fc00be6158d4b9d15f7e12ed5c11e5281eb0e5a29

Observation 8078bffe-c097-40ac-86ef-7ce72c8c5496 · outbound

This paper cites MGMap: Mask-Guided Learn- ing for Online Vectorized HD Map Construction.

Inferring Driving Maps by Deep Learning-based Trail Map Extraction MGMap: Mask-Guided Learn- ing for Online Vectorized HD Map Construction

Reference 21

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raw_fallback, observed 2026-08-15T21:17:27.807703Z

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.

source=pdf_text observed=2026-08-15T21:17:27.286848Z digest=sha256:afc6fe04287a922fea8e5c8da1e977409ab76ecf9566cdce1b8a179f749b4b0e

Observation d9d52699-344d-4f13-a572-e185f2db4f04 · outbound

This paper cites VectorMapNet: End-to-end Vectorized HD Map Learning.

Inferring Driving Maps by Deep Learning-based Trail Map Extraction VectorMapNet: End-to-end Vectorized HD Map Learning

Reference 22

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:17:27.293138Z digest=sha256:2a3fc1dca11e8922a84d6881081e2caddd86ae779566279df4b0a7e4b9f70fc1

Observation 56ad6aa6-b0fe-446d-b81f-99949bde52f0 · outbound

This paper cites Leveraging Enhanced Queries of Point Sets for Vectorized Map Construction.

Inferring Driving Maps by Deep Learning-based Trail Map Extraction Leveraging Enhanced Queries of Point Sets for Vectorized Map Construction

Reference 23

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source=pdf_text observed=2026-08-15T21:17:27.300818Z digest=sha256:58e29ae6ae9ee03f72037c0c1438d4244a3193b1ad32cabae2a8c305a5235a32

Observation 6e68badb-f124-40a6-b24b-bce05c4cd158 · outbound

This paper cites Massow, B.

Inferring Driving Maps by Deep Learning-based Trail Map Extraction Massow, B

Reference 24

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raw_fallback, observed 2026-08-15T21:17:27.793100Z

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.

source=pdf_text observed=2026-08-15T21:17:27.306997Z digest=sha256:f3de41a83063aba49efbcaae62be9c61be925a8d59d9b39ae71f38b3835f30b6

Observation df8b9c59-d537-4275-9ad2-904ef90678d9 · outbound

This paper cites Anytime Lane-Level Intersection Estimation Based on Trajectories of Other Traffic Participants.

Inferring Driving Maps by Deep Learning-based Trail Map Extraction Anytime Lane-Level Intersection Estimation Based on Trajectories of Other Traffic Participants

Reference 25

Resolution
verified exact
local_arxiv, observed 2026-08-15T21:17:27.515333Z

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.

source=pdf_text observed=2026-08-15T21:17:27.311607Z digest=sha256:68f56e28fae5bb137f6b2cdaab15185b22d2e6df8b4224b5d882c4b65779558a

Observation 0b53e7ff-f781-410a-a984-5de59b56712a · outbound

This paper cites Fast Lane-Level Intersection Estimation using Markov Chain Monte Carlo Sampling and B-Spline Refinement.

Inferring Driving Maps by Deep Learning-based Trail Map Extraction Fast Lane-Level Intersection Estimation using Markov Chain Monte Carlo Sampling and B-Spline Refinement

Reference 26

Resolution
verified exact
local_arxiv, observed 2026-08-15T21:17:27.496407Z

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.

source=pdf_text observed=2026-08-15T21:17:27.316375Z digest=sha256:588e99fee95ec7c355d413bc640e3354525a2db783a2a89f6a553a5f3126a444

Observation a757dc17-0b9a-452c-90b7-6189c0acbfa5 · outbound

This paper cites LMT-Net: Lane Model Transformer Network for Auto- mated HD Mapping from Sparse Vehicle Observations,.

Inferring Driving Maps by Deep Learning-based Trail Map Extraction LMT-Net: Lane Model Transformer Network for Auto- mated HD Mapping from Sparse Vehicle Observations,

Reference 27

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raw_fallback, observed 2026-08-15T21:17:27.777887Z

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.

source=pdf_text observed=2026-08-15T21:17:27.321669Z digest=sha256:fc489fdab1ead8a1167dbfdd096b454ef9313738856a0c9e03570e042cd9a59f

Observation 2466dea3-1f6b-4e24-9714-f7a485be7701 · outbound

This paper cites How to Keep HD Maps for Automated Driv- ing Up To Date.

Inferring Driving Maps by Deep Learning-based Trail Map Extraction How to Keep HD Maps for Automated Driv- ing Up To Date

Reference 28

Resolution
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raw_fallback, observed 2026-08-15T21:17:27.762776Z

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.

source=pdf_text observed=2026-08-15T21:17:27.332509Z digest=sha256:22104c8ac7fcc5ac532346f2a534ec75c8a737eaa4515a55d7cb43391aae1161

Observation 92e8ee11-34dc-4348-9141-d3bb152b783d · outbound

This paper cites PrevPredMap: Exploring Temporal Modeling with Previous Predictions for Online Vectorized HD Map Construction.

Inferring Driving Maps by Deep Learning-based Trail Map Extraction PrevPredMap: Exploring Temporal Modeling with Previous Predictions for Online Vectorized HD Map Construction

Reference 29

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:17:27.336761Z digest=sha256:732e98451297e155a474b744dd0d73f1413342d3243b0b57c0eb8d154fd5805e

Observation 67c7a90e-62cf-480e-9001-733c17c4d49a · outbound

This paper cites Traffic Flow-Based Crowdsourced Map- ping in Complex Urban Scenario.

Inferring Driving Maps by Deep Learning-based Trail Map Extraction Traffic Flow-Based Crowdsourced Map- ping in Complex Urban Scenario

Reference 30

Resolution
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raw_fallback, observed 2026-08-15T21:17:27.749503Z

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.

source=pdf_text observed=2026-08-15T21:17:27.340990Z digest=sha256:00bd2424338f2b8d67dffd838db2dedb35f6b5e69e3eaf93ca2be37928e82c68

Observation 2567206b-b253-4690-b4a6-1b3c29b61a30 · outbound

This paper cites Towards a Functional System Architecture for Automated Vehicles.

Inferring Driving Maps by Deep Learning-based Trail Map Extraction Towards a Functional System Architecture for Automated Vehicles

Reference 31

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no resolver link, observed 2026-08-15T21:17:27.346805Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:17:27.346805Z digest=sha256:4e46b63f35d1516e99e2da1887f95026d6b271cb55889c63b932e071d0234d1f

Observation 1afc315b-2c4e-42b7-bc6e-cac7e98097fb · outbound

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

Inferring Driving Maps by Deep Learning-based Trail Map Extraction Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting

Reference 32

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no resolver link, observed 2026-08-15T21:17:27.352034Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:17:27.352034Z digest=sha256:f291df866c1fd599805722ba6a2b6f58cd8ce46ad627ed8e36c3ef0a8eb81b14

Observation bc2e0ce2-463f-4272-93d0-59ef686f6429 · outbound

This paper cites Neural Map Prior for Autonomous Driving.

Inferring Driving Maps by Deep Learning-based Trail Map Extraction Neural Map Prior for Autonomous Driving

Reference 33

Resolution
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raw_fallback, observed 2026-08-15T21:17:27.735760Z

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.

source=pdf_text observed=2026-08-15T21:17:27.357894Z digest=sha256:3e8f9141f946e3ce8dc5b09fc978ebb3e3db1d890235f907f403c2a32d68ed70

Observation df3d838b-ca6d-4f77-96ef-74bc6a3294f1 · outbound

This paper cites StreamMapNet: Streaming Mapping Net- work for Vectorized Online HD Map Construction.

Inferring Driving Maps by Deep Learning-based Trail Map Extraction StreamMapNet: Streaming Mapping Net- work for Vectorized Online HD Map Construction

Reference 34

Resolution
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raw_fallback, observed 2026-08-15T21:17:27.718305Z

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.

source=pdf_text observed=2026-08-15T21:17:27.362611Z digest=sha256:e5a8a308d3e24bde94e6e997a90de342d89faa332868f49258934f8479cdc65e

Observation 5c029757-a5b6-4967-bf6a-87709ff71f2b · outbound

This paper cites Transformer-Based Autonomous Driving Models and Deployment-Oriented Compression: A Survey.

Inferring Driving Maps by Deep Learning-based Trail Map Extraction Transformer-Based Autonomous Driving Models and Deployment-Oriented Compression: A Survey

Reference 35

Resolution
verified exact
local_arxiv, observed 2026-08-15T21:17:27.421665Z

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.

source=pdf_text observed=2026-08-15T21:17:27.369475Z digest=sha256:c9f3243a05f070066a0b5f13104ad2f1f92a5d7de8d9006ab16740ec760df65e

Observation 4622259f-306d-4bd2-ade3-9874f71221c8 · outbound

This paper cites LMT-Net: Lane Model Transformer Network for Automated HD Mapping from Sparse Vehicle Observations.

Inferring Driving Maps by Deep Learning-based Trail Map Extraction LMT-Net: Lane Model Transformer Network for Automated HD Mapping from Sparse Vehicle Observations

Reference 2024

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verified exact
local_arxiv, observed 2026-08-15T21:17:27.476329Z

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.

source=pdf_text observed=2026-08-15T21:17:27.327046Z digest=sha256:0604320bfeb1efa304b3c5f6eccc2151b8769b44992e3151be7fa6be7d91b129

Pith citing papers

No inbound Pith citation observations are available.