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Paper Citation Record · LEDGER

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

As of 20 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 2026-08-20T06:33:59.587034+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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T04:36:04.099085Z digest=sha256:ccda4235694938297850fdb0488d21e42ff9349e4237e33a26bef115a5cf3f32

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T04:36:04.108077Z digest=sha256:499c07567761486f3cff16cc920edcaf39cb9984cfe311e4e5f4babe92da1cf6

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:fc9635b8b464b8e8379dc047325fd2251e807fd8ebee99260f8a60a9b588d4f3

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T04:36:04.121488Z digest=sha256:ec10fe124bb5af009e5c02cfa2ab77d8580e340986cccd32ad8a497a2e500b10

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T04:36:04.125524Z digest=sha256:fc2243e96b453d6589c775789c71130b35a92d14d59633965e7d9edbffd7e1e0

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T04:36:04.134207Z digest=sha256:057770c9d987e69895b83da3c3bcae258597ca30879856bbe67cec8fc8a528d5

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T04:36:04.138082Z digest=sha256:43d28894a3e0525f3244f303e0d83cff56d7dfddd730be3d16d742360cadd679

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T04:36:04.142307Z digest=sha256:1ea9481a2539df19b38ed4a62dfd182c033675c09870f7680d04f3e222c15439

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T04:36:04.154590Z digest=sha256:863ab8ed1b59116842c35ce90c57244b78bbd632e5888c72251a921b8361399d

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T04:36:04.162611Z digest=sha256:5d8d74ad96538b195865fc56aa10a2a6adc77a6f42f8a0be384e09c50201a051

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T04:36:04.166502Z digest=sha256:0d0d7793a506952c4250d1b7321840d0f46ad011facdb45f371746fffd0a4bfd

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T04:36:04.174430Z digest=sha256:5c8a1d837f48814d109be04352be24b903ff79b285f2576155f725be35b24d08

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T04:36:04.182809Z digest=sha256:282621f8bca4fbaf29d9518fbe40e80640f2685709c38a5cd5a70e33a01befc6

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T04:36:04.191156Z digest=sha256:9cb08cf75867d0f638d0b2bce6b23e618c63a9cec218a1dcb55d29954d94f593

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=sha256:93b733b11b8681ae7547bea479ef95f7304cfd83e29098c6e05d0dd5007ea8ad

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T04:36:04.203539Z digest=sha256:701a248a578e585a8c07c7763507027001bd080dab1aaab2204051101d8b0651

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T04:36:04.103978Z digest=sha256:5098c20d73b69b76b9d6c68a35b2af3e54dd4b58a8aee73e825373f52ab569b0

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-16T00:08:47.505827Z digest=sha256:040e85a906698aefe5f406625c0a2f095813d6b9445df93d83ad56a8acad0aa3