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Paper Citation Record · LEDGER

Using Language and Road Manuals to Inform Map Reconstruction for Autonomous Driving

As of 18 August 2026, this Paper Citation Record lists 27 of 27 outbound references and 1 inbound Pith citation observation for arXiv:2506.10317.

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

pith.paper-citation-record.v1
2506.10317 v2

Coverage vector

measured 27 of 27 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T04:36:04.207926Z

measured 28 of 28 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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T00:08:47.505827Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-16T00:08:47.644147Z

Reference resolution

27 of 27 outbound references displayed

  • verified exact2
  • verified fuzzy12
  • unresolved12
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 3daa7d96-064b-4f7f-9053-16b5ce8d908e · outbound

This paper cites Packt Publishing Ltd,.

Using Language and Road Manuals to Inform Map Reconstruction for Autonomous Driving Packt Publishing Ltd,

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:36:05.008460Z

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=2026-08-07T04:36:04.099085Z digest=sha256:b318abe2c21efce6e0e0bcdfa2b1bd8ffb5cdfee9677914373903928b059e084

Observation ac7167b8-b6c1-4c27-b98f-a909eeaf7293 · outbound

This paper cites Lang, Sourabh V ora, Venice Erin Liong, Qiang Xu, Anush Krishnan, Yu Pan, Giancarlo Baldan, and Oscar Beijbom.

Using Language and Road Manuals to Inform Map Reconstruction for Autonomous Driving Lang, Sourabh V ora, Venice Erin Liong, Qiang Xu, Anush Krishnan, Yu Pan, Giancarlo Baldan, and Oscar Beijbom

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:36:04.974627Z

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=2026-08-07T04:36:04.108077Z digest=sha256:84bd9ab45c4101e8343d72f5c45a543693412f68aacd6fd9f58e573c9768b7f7

Observation be745e1c-87d5-4672-b20c-16e7f459d9ac · outbound

This paper cites an unresolved cited work.

Using Language and Road Manuals to Inform Map Reconstruction for Autonomous Driving Unresolved cited work

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-07T04:36:04.112378Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:36:04.112378Z digest=sha256:26265371f14929635521ce4315183ea458ccec02f7f1e6b9be84a24a73de4f6e

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

This paper cites SD++: Enhancing Standard Definition Maps by Incorporating Road Knowledge using LLMs.

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.

source=pdf_text observed=2026-08-07T04:36:04.116862Z digest=sha256:a0c230965f8b5aca7ce98a39e61be111ac276933af1786f8b76f7cc1c7fc16a8

Observation 5c6072c7-939e-47f3-8c05-7aaa9bfdbded · outbound

This paper cites DenseTNT: End- to-End Trajectory Prediction From Dense Goal Sets.

Using Language and Road Manuals to Inform Map Reconstruction for Autonomous Driving DenseTNT: End- to-End Trajectory Prediction From Dense Goal Sets

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:36:04.960082Z

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=2026-08-07T04:36:04.121488Z digest=sha256:3ca78bece0666185f727292932a4a6cb561807445220fd77a5a477dc96b502b2

Observation 35ad2793-f29c-4f29-8132-d2b5b0671e3f · outbound

This paper cites Producing and leveraging online map uncertainty in trajectory prediction.

Using Language and Road Manuals to Inform Map Reconstruction for Autonomous Driving Producing and leveraging online map uncertainty in trajectory prediction

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:36:04.945934Z

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=2026-08-07T04:36:04.125524Z digest=sha256:b69701a22d744b94307b9e1b6c36cb3e093f174eaf652707fa1d22cd89ae0b1b

Observation 6ae42afc-3be5-4113-8631-f2bba62aa086 · outbound

This paper cites Accelerating online mapping and behavior prediction via direct bev feature atten- tion.

Using Language and Road Manuals to Inform Map Reconstruction for Autonomous Driving Accelerating online mapping and behavior prediction via direct bev feature atten- tion

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-07T04:36:04.129597Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:36:04.129597Z digest=sha256:7e4a66a5878678c6cccf69bd3e44714c427eec74cfb0e93222dafbde22ed487f

Observation 24d764d7-61e3-422b-81a8-19de20b81865 · outbound

This paper cites HDM-RRT: A Fast HD-Map- Guided Motion Planning Algorithm for Autonomous Driving in the Campus Environment.Remote Sensing, 15(2), 2023.

Using Language and Road Manuals to Inform Map Reconstruction for Autonomous Driving HDM-RRT: A Fast HD-Map- Guided Motion Planning Algorithm for Autonomous Driving in the Campus Environment.Remote Sensing, 15(2), 2023

Reference 8

Resolution
verified exact
doi, observed 2026-08-07T04:36:04.255579Z

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=2026-08-07T04:36:04.134207Z digest=sha256:99b2466cd390e7346952f3600ef0347309288fa6979ae9b2ae3abc5241a6be4d

Observation 320b1de7-3870-4f91-8f26-8566f70a3088 · outbound

This paper cites ImagineMap: Enhanced HD Map Construction with SD Maps.

Using Language and Road Manuals to Inform Map Reconstruction for Autonomous Driving ImagineMap: Enhanced HD Map Construction with SD Maps

Reference 9

Resolution
verified exact
local_arxiv, observed 2026-08-07T04:36:04.732231Z

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=2026-08-07T04:36:04.138082Z digest=sha256:9bba5db1d665b17a28895a768d380440c71fb90c49fb7996150629ba31aaf930

Observation 407e4ed5-0185-44dc-9bee-452c2674e597 · outbound

This paper cites HDMap- Net: An Online HD Map Construction and Evalua- tion Framework.

Using Language and Road Manuals to Inform Map Reconstruction for Autonomous Driving HDMap- Net: An Online HD Map Construction and Evalua- tion Framework

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:36:04.932321Z

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=2026-08-07T04:36:04.142307Z digest=sha256:4d7829dc0c41ead3f9d9552a9704499301034049433818cd0faa55fc5d325536

Observation 4a6044b8-3997-43c4-891b-bd5651a4746e · outbound

This paper cites Maptrv2: An end-to-end framework for online vectorized hd map construction.International Journal of Computer Vision, pages 1–23, 2024.

Using Language and Road Manuals to Inform Map Reconstruction for Autonomous Driving Maptrv2: An end-to-end framework for online vectorized hd map construction.International Journal of Computer Vision, pages 1–23, 2024

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-07T04:36:04.150514Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:36:04.150514Z digest=sha256:cd4bb7864a151e32647ee500ff63c92786664258cfbe8028ec78fbb719aa6436

Observation 67fd6d00-1dee-4539-925d-892e5c864661 · outbound

This paper cites VectorMapNet: end-to-end vectorized HD map learning.

Using Language and Road Manuals to Inform Map Reconstruction for Autonomous Driving VectorMapNet: end-to-end vectorized HD map learning

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:36:04.917641Z

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=2026-08-07T04:36:04.154590Z digest=sha256:43067ba40a62a2d4a3a57c3003d39830957d67975de76decab6d469f8be00fdb

Observation 96268956-5c79-4e67-9938-0c2f7792960b · outbound

This paper cites Augmenting Lane Perception and Topology Un- derstanding with Standard Definition Navigation Maps.

Using Language and Road Manuals to Inform Map Reconstruction for Autonomous Driving Augmenting Lane Perception and Topology Un- derstanding with Standard Definition Navigation Maps

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-07T04:36:04.158679Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:36:04.158679Z digest=sha256:a87f813f3fa07e0caedc902f540504199508593279636163e09422eb8dc4a459

Observation b50c73e6-64a7-4556-9a29-6d5b8a6d5e93 · outbound

This paper cites Department of Transportation.

Using Language and Road Manuals to Inform Map Reconstruction for Autonomous Driving Department of Transportation

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:36:04.902091Z

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=2026-08-07T04:36:04.162611Z digest=sha256:c4233ce2db031bb137997dc2309f2395690bd3dd7909b0bfadec0cc75d5bf10a

Observation 5bfcfe10-5c7e-4e59-83ef-98e9f64e8b00 · outbound

This paper cites Uni-PrevPredMap: Extending Pre- vPredMap to a Unified Framework of Prior-Informed Modeling for Online Vectorized HD Map Construction,.

Using Language and Road Manuals to Inform Map Reconstruction for Autonomous Driving Uni-PrevPredMap: Extending Pre- vPredMap to a Unified Framework of Prior-Informed Modeling for Online Vectorized HD Map Construction,

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:36:04.886766Z

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=2026-08-07T04:36:04.166502Z digest=sha256:6a9a010a0617f29cacd510538974298ca3c67c644b2ca0aefb8b7280fff6ef08

Observation 47cae05f-fb4b-45db-bb14-86b7b53bf047 · outbound

This paper cites Scalability in Perception for Autonomous Driving: Waymo Open Dataset.

Using Language and Road Manuals to Inform Map Reconstruction for Autonomous Driving Scalability in Perception for Autonomous Driving: Waymo Open Dataset

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:36:04.872936Z

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=2026-08-07T04:36:04.174430Z digest=sha256:d7a06d4961b25224c9ac049978a99780a551046cd613b785b4f68e415a2f2631

Observation aa08fb6a-4699-4d71-b818-2707b478aa9d · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

Using Language and Road Manuals to Inform Map Reconstruction for Autonomous Driving LLaMA: Open and Efficient Foundation Language Models

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-07T04:36:04.178339Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:36:04.178339Z digest=sha256:4749014e8f65067a51a0e86ee72eabfc822ad71c99938c6cd18fbbca5947aaab

Observation b9bad241-6ad6-4f07-96e8-de2796eb20e0 · outbound

This paper cites OpenLane-V2: A Topology Reasoning Benchmark for Unified 3D HD Mapping.

Using Language and Road Manuals to Inform Map Reconstruction for Autonomous Driving OpenLane-V2: A Topology Reasoning Benchmark for Unified 3D HD Mapping

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:36:04.858938Z

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=2026-08-07T04:36:04.182809Z digest=sha256:68e1de96d1ed2f3726c6055a9655a64cbfceb71129de967eca376e608a3a94f4

Observation 28a0473d-bdc0-4717-bebb-0aa1794f1ec3 · outbound

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

Using Language and Road Manuals to Inform Map Reconstruction for Autonomous Driving Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-07T04:36:04.186872Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:36:04.186872Z digest=sha256:f152c685c95cf789672f04be3b244f87d15889f7fe61e0f3b79268b6fe9eecf2

Observation 06787e29-c55d-4d63-8289-c59c9c979f40 · outbound

This paper cites Neural Map Prior for Autonomous Driving.

Using Language and Road Manuals to Inform Map Reconstruction for Autonomous Driving Neural Map Prior for Autonomous Driving

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:36:04.843716Z

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=2026-08-07T04:36:04.191156Z digest=sha256:ce948712ee7b5b25276b15dee57ba17387555054bfdbaba80f879a7a5b91d3c1

Observation 64502cca-066f-45b6-90c2-8a024732af6b · outbound

This paper cites TopoSD: Topology-Enhanced Lane Segment Perception with SDMap Prior.

Using Language and Road Manuals to Inform Map Reconstruction for Autonomous Driving TopoSD: Topology-Enhanced Lane Segment Perception with SDMap Prior

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-07T04:36:04.195108Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:36:04.195108Z digest=sha256:45b1ac4789f84f56ee38aa246f62db0750d84a2a1078bfaea865a359a8a4b0fd

Observation 9373d8fc-57cb-4417-8961-1ce0cdf17cb6 · outbound

This paper cites StreamMapNet: Streaming Mapping Network for Vectorized Online HD Map Construction.

Using Language and Road Manuals to Inform Map Reconstruction for Autonomous Driving StreamMapNet: Streaming Mapping Network for Vectorized Online HD Map Construction

Reference 22

Resolution
malformed identifier
no resolver link, observed 2026-08-07T04:36:04.199785Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:36:04.199785Z digest=sha256:5d64af524d8c4215acab94657598c0aeddb5b3050a36f090b70953cf51efaae9

Observation 02c64634-1313-4a49-bef1-473335213a81 · outbound

This paper cites HiVT: Hierarchical Vector Transformer for Multi-Agent Motion Prediction.

Using Language and Road Manuals to Inform Map Reconstruction for Autonomous Driving HiVT: Hierarchical Vector Transformer for Multi-Agent Motion Prediction

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:36:04.830080Z

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=2026-08-07T04:36:04.203539Z digest=sha256:f81386f8192c280e28896024d24347ffd0ec75dc79f1a3040ef5ee4876b6b755

Observation 123979af-b7c8-4c55-84b4-a165939721a4 · outbound

This paper cites Deformable DETR: Deformable Transformers for End-to-End Object Detection.

Using Language and Road Manuals to Inform Map Reconstruction for Autonomous Driving Deformable DETR: Deformable Transformers for End-to-End Object Detection

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-07T04:36:04.207926Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:36:04.207926Z digest=sha256:100c3e32bed2fa942e63b1606aa7969edfe00960e6f0942cc6cded2d88b1fd9f

Observation fdbdf14c-8f0d-49b0-87bf-327485d706ad · outbound

This paper cites an unresolved cited work.

Using Language and Road Manuals to Inform Map Reconstruction for Autonomous Driving Unresolved cited work

Reference 2010

Resolution
unresolved
raw_fallback, observed 2026-08-07T04:36:04.993038Z

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=2026-08-07T04:36:04.103978Z digest=sha256:b8b51552bf90e8fd7abbe715b51807e1de3ee8cb8a9cde3294a1205cb06830b8

Observation dc2b3652-34c7-4680-acf9-bd88a7681083 · outbound

This paper cites URL https://doi.org/10.1109/ICRA46639.2022.9812383.

Using Language and Road Manuals to Inform Map Reconstruction for Autonomous Driving URL https://doi.org/10.1109/ICRA46639.2022.9812383

Reference 2022

Resolution
unresolved
no resolver link, observed 2026-08-07T04:36:04.146345Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:36:04.146345Z digest=sha256:a11ff67a8457984ebbf4c5e124b1020d75cc259a901562c067fb1d819e7aa67a

Observation 53eec22e-63a4-4dad-9d75-94d344e1cae8 · outbound

This paper cites an unresolved cited work.

Using Language and Road Manuals to Inform Map Reconstruction for Autonomous Driving Unresolved cited work

Reference 2025

Resolution
unresolved
no resolver link, observed 2026-08-07T04:36:04.170333Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:36:04.170333Z digest=sha256:6d233ca8d110fd2974b4586ffc7475d99ddfdaa9b5b03b872101814cb238e961

Pith citing papers

Observation 25b7902a-f9a5-4b5d-a7de-212c4d1b5f46 · inbound

PseudoMapLabeler: Confidence-Aware Pseudo-Label Generation for Semi-Supervised Online Mapping cites this paper.

PseudoMapLabeler: Confidence-Aware Pseudo-Label Generation for Semi-Supervised Online Mapping Using Language and Road Manuals to Inform Map Reconstruction for Autonomous Driving

Reference 29

Resolution
verified exact
local_arxiv, observed 2026-08-16T00:08:47.721185Z

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=2026-08-16T00:08:47.505827Z digest=sha256:66735e9ae564d662cb29f562746c24d99ea01df4aef5f71f0401b9fcbde60d55