Paper Citation Record · LEDGER

SD++: Enhancing Standard Definition Maps by Incorporating Road Knowledge using LLMs

As of 10 August 2026, this Paper Citation Record lists 36 of 36 outbound references and 2 inbound Pith citation observations for arXiv:2502.02773.

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

pith.paper-citation-record.v1
2502.02773 v2

Coverage vector

measured 36 of 36 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-09T11:14:08.636486Z

measured 38 of 38 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T04:36:04.116862Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T23:59:06.438624Z

Reference resolution

36 of 36 outbound references displayed

verified exact2
verified fuzzy16
unresolved18
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b04897f6-2304-435f-81c4-023b5fa535df · outbound

This paper cites an unresolved cited work.

SD++: Enhancing Standard Definition Maps by Incorporating Road Knowledge using LLMs Unresolved cited work

Reference 1

Resolution: unresolved; raw_fallback, observed 2026-08-09T11:14:09.391618Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 0799bcbd-ff16-4846-8667-dac9b7b48809 · outbound

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

SD++: Enhancing Standard Definition Maps by Incorporating Road Knowledge using LLMs HDMapNet: An Online HD Map Construction and Evaluation Framework

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-09T11:14:08.457725Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 167a140a-3893-4901-a0e3-ba0a5826d193 · outbound

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

SD++: Enhancing Standard Definition Maps by Incorporating Road Knowledge using LLMs MapTR: Structured modeling and learning for online vectorized hd map construction

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:14:09.376187Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 89a1d4c0-ef23-47e8-aa7f-287393d004ea · outbound

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

SD++: Enhancing Standard Definition Maps by Incorporating Road Knowledge using LLMs Graph-based Topology Reasoning for Driving Scenes

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-09T11:14:08.468299Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 147960da-0104-417a-aebf-512fc8c09fc0 · outbound

This paper cites SemVecNet: Generalizable Vector Map Generation for Arbitrary Sensor Configurations.

SD++: Enhancing Standard Definition Maps by Incorporating Road Knowledge using LLMs SemVecNet: Generalizable Vector Map Generation for Arbitrary Sensor Configurations

Reference 5

Resolution: verified exact; local_arxiv, observed 2026-08-09T11:14:09.050888Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 93c4f4c3-f9fe-42db-93c6-27c9debe56ff · outbound

This paper cites Planet dump retrieved from https://planet.osm.org , 2017.

SD++: Enhancing Standard Definition Maps by Incorporating Road Knowledge using LLMs Planet dump retrieved from https://planet.osm.org , 2017

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:14:09.360389Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation e2ee2149-1071-4014-a5ad-9031abc37e96 · outbound

This paper cites How good is volunteered geographical infor- mation? a comparative study of openstreetmap and ordnance sur- vey datasets.

SD++: Enhancing Standard Definition Maps by Incorporating Road Knowledge using LLMs How good is volunteered geographical infor- mation? a comparative study of openstreetmap and ordnance sur- vey datasets

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:14:09.344510Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 85824819-3bbf-4588-9599-67c179f60ee3 · outbound

This paper cites Augmenting Lane Perception and Topology Understanding with Standard Definition Navigation Maps.

SD++: Enhancing Standard Definition Maps by Incorporating Road Knowledge using LLMs Augmenting Lane Perception and Topology Understanding with Standard Definition Navigation Maps

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-09T11:14:08.490962Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 58a85c1c-21e8-4a52-a311-e321473b30a0 · outbound

This paper cites Christensen, and Liu Ren.

SD++: Enhancing Standard Definition Maps by Incorporating Road Knowledge using LLMs Christensen, and Liu Ren

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:14:09.329633Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 0dda9219-a7bc-494f-a1ba-68c26cddf5ef · outbound

This paper cites Department of Transportation.

SD++: Enhancing Standard Definition Maps by Incorporating Road Knowledge using LLMs Department of Transportation

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:14:09.316168Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 1054e523-155b-4eb5-95b2-2bc8479c536d · outbound

This paper cites Automatic construction of lane-level HD maps for urban scenes.

SD++: Enhancing Standard Definition Maps by Incorporating Road Knowledge using LLMs Automatic construction of lane-level HD maps for urban scenes

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:14:09.301787Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation b1454c1a-c2c9-43c7-a038-3c211e209914 · outbound

This paper cites DriveGPT4: Interpretable End-to-end Autonomous Driving via Large Language Model.

SD++: Enhancing Standard Definition Maps by Incorporating Road Knowledge using LLMs DriveGPT4: Interpretable End-to-end Autonomous Driving via Large Language Model

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-09T11:14:08.511699Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 15cf3927-68a6-46b1-8be0-694ee1947177 · outbound

This paper cites Lmdrive: Closed-loop end- to-end driving with large language models.

SD++: Enhancing Standard Definition Maps by Incorporating Road Knowledge using LLMs Lmdrive: Closed-loop end- to-end driving with large language models

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:14:09.285780Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation e8dd82d9-88c8-4b0b-aa97-164e24a96558 · outbound

This paper cites Semantic Anomaly Detection with Large Language Models.

SD++: Enhancing Standard Definition Maps by Incorporating Road Knowledge using LLMs Semantic Anomaly Detection with Large Language Models

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-09T11:14:08.521726Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a4bfc406-70a5-41a0-bdb9-7887a2762fd4 · outbound

This paper cites HiLM-D: Enhancing MLLMs with Multi-Scale High-Resolution Details for Autonomous Driving.

SD++: Enhancing Standard Definition Maps by Incorporating Road Knowledge using LLMs HiLM-D: Enhancing MLLMs with Multi-Scale High-Resolution Details for Autonomous Driving

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-09T11:14:08.526943Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ddf0976d-aa92-49b7-ac46-f3320fa12289 · outbound

This paper cites Large Language Models Powered Context-aware Motion Prediction in Autonomous Driving.

SD++: Enhancing Standard Definition Maps by Incorporating Road Knowledge using LLMs Large Language Models Powered Context-aware Motion Prediction in Autonomous Driving

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-09T11:14:08.532966Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bbd08b9c-efc5-44e2-964a-31a6b93900ee · outbound

This paper cites MTD-GPT: A Multi-Task Decision-Making GPT Model for Autonomous Driving at Unsignalized Intersections.

SD++: Enhancing Standard Definition Maps by Incorporating Road Knowledge using LLMs MTD-GPT: A Multi-Task Decision-Making GPT Model for Autonomous Driving at Unsignalized Intersections

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-09T11:14:08.538343Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 43cd21e1-02ae-49e1-834e-c8b1e07d43e7 · outbound

This paper cites LC-LLM: Explainable lane-change intention and trajectory predictions with large language models.

SD++: Enhancing Standard Definition Maps by Incorporating Road Knowledge using LLMs LC-LLM: Explainable lane-change intention and trajectory predictions with large language models

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-09T11:14:08.543550Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d9c70daf-eb7c-4f5b-9d7c-ffa56cec6fff · outbound

This paper cites PlanAgent: A Multi-modal Large Language Agent for Closed-loop Vehicle Motion Planning.

SD++: Enhancing Standard Definition Maps by Incorporating Road Knowledge using LLMs PlanAgent: A Multi-modal Large Language Agent for Closed-loop Vehicle Motion Planning

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-09T11:14:08.548427Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8bd92189-b384-4552-b132-e0a3f765ab03 · outbound

This paper cites DME-Driver: Integrating Human Decision Logic and 3D Scene Perception in Autonomous Driving.

SD++: Enhancing Standard Definition Maps by Incorporating Road Knowledge using LLMs DME-Driver: Integrating Human Decision Logic and 3D Scene Perception in Autonomous Driving

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-09T11:14:08.553785Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7b59f974-7bdf-42c4-9652-722ec823b6cd · outbound

This paper cites Experience-Enhanced Learning: One Size Still does not Fit All in Automatic Database.

SD++: Enhancing Standard Definition Maps by Incorporating Road Knowledge using LLMs Experience-Enhanced Learning: One Size Still does not Fit All in Automatic Database

Reference 21

Resolution: verified exact; local_arxiv, observed 2026-08-09T11:14:08.731000Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 62006ed6-2481-446e-9e71-85b6b8096197 · outbound

This paper cites Talk2BEV: Language-enhanced Bird's-eye View Maps for Autonomous Driving.

SD++: Enhancing Standard Definition Maps by Incorporating Road Knowledge using LLMs Talk2BEV: Language-enhanced Bird's-eye View Maps for Autonomous Driving

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-09T11:14:08.566354Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e4ed9633-9f7a-4e95-bc7a-3e31369a664e · outbound

This paper cites Language Models are Few-Shot Learners.

SD++: Enhancing Standard Definition Maps by Incorporating Road Knowledge using LLMs Language Models are Few-Shot Learners

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-09T11:14:08.571690Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 18b8e24a-b378-4875-86bc-334f59871b13 · outbound

This paper cites Optimal Transport for Offline Imitation Learning.

SD++: Enhancing Standard Definition Maps by Incorporating Road Knowledge using LLMs Optimal Transport for Offline Imitation Learning

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-09T11:14:08.576676Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 47991a16-30a7-48cf-8cc4-98f1876571d6 · outbound

This paper cites A/B-street.

SD++: Enhancing Standard Definition Maps by Incorporating Road Knowledge using LLMs A/B-street

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:14:09.270347Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 5ba602ba-5213-4f63-87d5-7b05aef77475 · outbound

This paper cites Argoverse 2: Next generation datasets for self-driving perception and forecasting.

SD++: Enhancing Standard Definition Maps by Incorporating Road Knowledge using LLMs Argoverse 2: Next generation datasets for self-driving perception and forecasting

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:14:09.254826Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 46116a7d-534f-428a-9cd6-6828fa92bf3e · outbound

This paper cites Osmium: A c++ library for work- ing with openstreetmap data.

SD++: Enhancing Standard Definition Maps by Incorporating Road Knowledge using LLMs Osmium: A c++ library for work- ing with openstreetmap data

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:14:09.238643Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 1bb79a5e-c13f-4ccb-8c54-d40bf1655964 · outbound

This paper cites OSMfilter.

SD++: Enhancing Standard Definition Maps by Incorporating Road Knowledge using LLMs OSMfilter

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:14:09.221402Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 0ae88e28-95ef-42f1-b43a-8c9f401f8211 · outbound

This paper cites LangChain.

SD++: Enhancing Standard Definition Maps by Incorporating Road Knowledge using LLMs LangChain

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:14:09.205655Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 9f9ebf03-5ee4-4752-8bf8-26e777695e45 · outbound

This paper cites Pypdfloader.

SD++: Enhancing Standard Definition Maps by Incorporating Road Knowledge using LLMs Pypdfloader

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:14:09.190088Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 7f2457ea-6e82-4f34-9a06-cca747b9927f · outbound

This paper cites an unresolved cited work.

SD++: Enhancing Standard Definition Maps by Incorporating Road Knowledge using LLMs Unresolved cited work

Reference 31

Resolution: unresolved; raw_fallback, observed 2026-08-09T11:14:09.173786Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 1191447f-72a3-4633-a257-722cc37d17fa · outbound

This paper cites Prompt programming for large language models: Beyond the few-shot paradigm, 2021.

SD++: Enhancing Standard Definition Maps by Incorporating Road Knowledge using LLMs Prompt programming for large language models: Beyond the few-shot paradigm, 2021

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:14:09.156609Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation cd541071-2686-4277-a83d-c9d567dfcc2f · outbound

This paper cites Zhao, Eric Wallace, Shi Feng, Dan Klein, and Sameer Singh.

SD++: Enhancing Standard Definition Maps by Incorporating Road Knowledge using LLMs Zhao, Eric Wallace, Shi Feng, Dan Klein, and Sameer Singh

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-09T11:14:08.621468Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3b5d1efc-f880-4e27-b4b2-1eb57ab6e8c8 · outbound

This paper cites Google Earth Satellite Image.

SD++: Enhancing Standard Definition Maps by Incorporating Road Knowledge using LLMs Google Earth Satellite Image

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:14:09.130911Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation b24a9c11-b0ec-45fe-8ecf-6ee7335133f8 · outbound

This paper cites an unresolved cited work.

SD++: Enhancing Standard Definition Maps by Incorporating Road Knowledge using LLMs Unresolved cited work

Reference 35

Resolution: unresolved; raw_fallback, observed 2026-08-09T11:14:09.115881Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 2833ae6e-0af3-4033-b58a-fd1dc6ba8dd7 · outbound

This paper cites Caltrain current projects.

SD++: Enhancing Standard Definition Maps by Incorporating Road Knowledge using LLMs Caltrain current projects

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:14:09.100422Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Pith citing papers

Observation 6c4563bd-8142-4d3f-b765-63669ae98b23 · inbound

Using Language and Road Manuals to Inform Map Reconstruction for Autonomous Driving cites this paper.

Using Language and Road Manuals to Inform Map Reconstruction for Autonomous Driving SD++: Enhancing Standard Definition Maps by Incorporating Road Knowledge using LLMs

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-07T04:36:04.116862Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3113e623-4aa6-41fb-b829-26266adc9171 · inbound

D2HDMap: Non-visible Driveline Map Prior for Online Vectorized HD Map Prediction cites this paper.

D2HDMap: Non-visible Driveline Map Prior for Online Vectorized HD Map Prediction SD++: Enhancing Standard Definition Maps by Incorporating Road Knowledge using LLMs

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-07-03T23:59:06.441085Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.