Paper Citation Record · LEDGER

MapGS: Generalizable Pretraining and Data Augmentation for Online Mapping via Novel View Synthesis

As of 19 August 2026, this Paper Citation Record lists 36 of 36 outbound references and 2 inbound Pith citation observations for arXiv:2501.06660.

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

pith.paper-citation-record.v1
2501.06660 v1

Coverage vector

measured 36 of 36 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T21:01:58.390805Z

measured 38 of 38 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T22:02:22.991689Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T16:17:45.211691Z

Reference resolution

36 of 36 outbound references displayed

verified exact1
verified fuzzy29
unresolved6
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation dbb41f84-0b7e-4448-a7ba-b92e0c250d9f · outbound

This paper cites Seitz, and Richard Szeliski.

MapGS: Generalizable Pretraining and Data Augmentation for Online Mapping via Novel View Synthesis Seitz, and Richard Szeliski

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:01:58.903042Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 568052e2-5516-4ffd-8f42-2c3732546886 · outbound

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

MapGS: Generalizable Pretraining and Data Augmentation for Online Mapping via Novel View Synthesis Lang, Sourabh V ora, Venice Erin Liong, Qiang Xu, Anush Krishnan, Yu Pan, Gi- ancarlo Baldan, and Oscar Beijbom

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:01:58.888886Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 3f764952-6661-4140-a828-26e47948e5a0 · outbound

This paper cites Unified domain generalization and adaptation for multi-view 3d object detection, 2024.

MapGS: Generalizable Pretraining and Data Augmentation for Online Mapping via Novel View Synthesis Unified domain generalization and adaptation for multi-view 3d object detection, 2024

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:01:58.874451Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation ecd4a8cd-43e7-459b-a7c6-412f0b2f6308 · outbound

This paper cites Periodic Vibration Gaussian: Dynamic Urban Scene Reconstruction and Real-time Rendering.

MapGS: Generalizable Pretraining and Data Augmentation for Online Mapping via Novel View Synthesis Periodic Vibration Gaussian: Dynamic Urban Scene Reconstruction and Real-time Rendering

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-10T21:01:58.227278Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b618c240-a11a-492d-bb6c-40b7de755700 · outbound

This paper cites GGS: Generalizable Gaussian Splatting for Lane Switching in Autonomous Driving.

MapGS: Generalizable Pretraining and Data Augmentation for Online Mapping via Novel View Synthesis GGS: Generalizable Gaussian Splatting for Lane Switching in Autonomous Driving

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-10T21:01:58.231768Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6a66b83d-4340-4524-9bd4-13758a6ad77c · outbound

This paper cites Multiple View Ge- ometry in Computer Vision.

MapGS: Generalizable Pretraining and Data Augmentation for Online Mapping via Novel View Synthesis Multiple View Ge- ometry in Computer Vision

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:01:58.862466Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 87453e83-f7cd-4d50-a2e7-a71bbf30330e · outbound

This paper cites Planning-oriented Autonomous Driving.

MapGS: Generalizable Pretraining and Data Augmentation for Online Mapping via Novel View Synthesis Planning-oriented Autonomous Driving

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:01:58.849616Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 3323ee43-907e-4c34-916d-83c8386d737b · outbound

This paper cites Vad: Vectorized scene rep- resentation for efficient autonomous driving.

MapGS: Generalizable Pretraining and Data Augmentation for Online Mapping via Novel View Synthesis Vad: Vectorized scene rep- resentation for efficient autonomous driving

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:01:58.837092Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation c50f6142-00ca-4f61-9e1a-17de4a6ec63a · outbound

This paper cites Polarformer: Multi- camera 3d object detection with polar transformers.

MapGS: Generalizable Pretraining and Data Augmentation for Online Mapping via Novel View Synthesis Polarformer: Multi- camera 3d object detection with polar transformers

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:01:58.825267Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 3d0dc5db-dd2a-4691-99d7-8cefb27c8cca · outbound

This paper cites 3d gaussian splatting for real-time radiance field rendering.

MapGS: Generalizable Pretraining and Data Augmentation for Online Mapping via Novel View Synthesis 3d gaussian splatting for real-time radiance field rendering

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-10T21:01:58.259159Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f8b179eb-38ba-4b8c-a61c-b02004409f0f · outbound

This paper cites Towards viewpoint robustness in bird’s eye view segmentation.

MapGS: Generalizable Pretraining and Data Augmentation for Online Mapping via Novel View Synthesis Towards viewpoint robustness in bird’s eye view segmentation

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:01:58.803794Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation ba46bb44-ba02-49b7-9b6c-5ae49da0cab0 · outbound

This paper cites Viewformer: Exploring spa- tiotemporal modeling for multi-view 3d occupancy percep- tion via view-guided transformers.

MapGS: Generalizable Pretraining and Data Augmentation for Online Mapping via Novel View Synthesis Viewformer: Exploring spa- tiotemporal modeling for multi-view 3d occupancy percep- tion via view-guided transformers

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:01:58.790233Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 34c0b11d-80d3-4604-a3a6-b227807aa9a5 · outbound

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

MapGS: Generalizable Pretraining and Data Augmentation for Online Mapping via Novel View Synthesis Graph-based Topology Reasoning for Driving Scenes

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-10T21:01:58.273323Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6cae30d1-fbe5-443b-a4c4-9d6156c7e8e5 · outbound

This paper cites Bevstereo: Enhancing depth estimation in multi-view 3d object detection with temporal stereo.

MapGS: Generalizable Pretraining and Data Augmentation for Online Mapping via Novel View Synthesis Bevstereo: Enhancing depth estimation in multi-view 3d object detection with temporal stereo

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:01:58.776395Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 86903861-f5a6-4e05-a46e-f4ec7849bc58 · outbound

This paper cites UniDrive: Towards Universal Driving Perception Across Camera Configurations.

MapGS: Generalizable Pretraining and Data Augmentation for Online Mapping via Novel View Synthesis UniDrive: Towards Universal Driving Perception Across Camera Configurations

Reference 15

Resolution: verified exact; local_arxiv, observed 2026-08-10T21:01:58.437565Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation c79196a5-1c7b-4134-84be-efa8c64b8822 · outbound

This paper cites BEV- Former: Learning Bird’s-Eye-View Representation from Multi-Camera Images via Spatiotemporal Transformers.

MapGS: Generalizable Pretraining and Data Augmentation for Online Mapping via Novel View Synthesis BEV- Former: Learning Bird’s-Eye-View Representation from Multi-Camera Images via Spatiotemporal Transformers

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:01:58.763234Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 0637f4b8-abc4-4394-8128-406200b149e7 · outbound

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

MapGS: Generalizable Pretraining and Data Augmentation for Online Mapping via Novel View Synthesis MapTR: Structured Modeling and Learning for Online Vectorized HD Map Construction

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:01:58.749913Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 17891f4c-1999-49b6-9fad-0c576bde8cb6 · outbound

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

MapGS: Generalizable Pretraining and Data Augmentation for Online Mapping via Novel View Synthesis MapTRv2: An End-to-End Framework for Online Vector- ized HD Map Construction

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:01:58.735754Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation c0398b47-ee14-443d-acdd-f6d65af07ffd · outbound

This paper cites Street-gaussians-ns.

MapGS: Generalizable Pretraining and Data Augmentation for Online Mapping via Novel View Synthesis Street-gaussians-ns

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:01:58.721054Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation f5b7d7b1-5b3f-46f2-98a6-1c1a72ed1427 · outbound

This paper cites Localization Is All You Evaluate: Data Leakage in Online Mapping Datasets and How to Fix It.

MapGS: Generalizable Pretraining and Data Augmentation for Online Mapping via Novel View Synthesis Localization Is All You Evaluate: Data Leakage in Online Mapping Datasets and How to Fix It

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:01:58.707325Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 33a097bf-e87f-49b6-a06e-01aa80b0331c · outbound

This paper cites Ray denoising: Depth-aware hard negative sampling for multi- view 3d object detection.

MapGS: Generalizable Pretraining and Data Augmentation for Online Mapping via Novel View Synthesis Ray denoising: Depth-aware hard negative sampling for multi- view 3d object detection

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:01:58.693402Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 66b3e5d3-f697-4085-89f2-20ab8a88b248 · outbound

This paper cites Aug- menting Lane Perception and Topology Understanding with Standard Definition Navigation Maps.

MapGS: Generalizable Pretraining and Data Augmentation for Online Mapping via Novel View Synthesis Aug- menting Lane Perception and Topology Understanding with Standard Definition Navigation Maps

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:01:58.679010Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation a0f55efd-8214-4438-9ba2-bd7108b70aab · outbound

This paper cites Srinivasan, Matthew Tancik, Jonathan T.

MapGS: Generalizable Pretraining and Data Augmentation for Online Mapping via Novel View Synthesis Srinivasan, Matthew Tancik, Jonathan T

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-10T21:01:58.329295Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ade8c0ce-37bd-4bc1-a4ba-441932aea2f7 · outbound

This paper cites Lift, splat, shoot: Encod- ing images from arbitrary camera rigs by implicitly unpro- jecting to 3d.

MapGS: Generalizable Pretraining and Data Augmentation for Online Mapping via Novel View Synthesis Lift, splat, shoot: Encod- ing images from arbitrary camera rigs by implicitly unpro- jecting to 3d

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:01:58.657651Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation bbc52c0c-9d2f-43d1-bc67-38766aee57a8 · outbound

This paper cites Christensen.

MapGS: Generalizable Pretraining and Data Augmentation for Online Mapping via Novel View Synthesis Christensen

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:01:58.645080Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 0a57d99d-aa79-4c20-9f0f-2bbf9d598f43 · outbound

This paper cites Scene as occupancy.

MapGS: Generalizable Pretraining and Data Augmentation for Online Mapping via Novel View Synthesis Scene as occupancy

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:01:58.633278Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation a8b5654d-3e82-4de1-a375-d418caaf9679 · outbound

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

MapGS: Generalizable Pretraining and Data Augmentation for Online Mapping via Novel View Synthesis Scalability in Perception for Autonomous Driving: Waymo Open Dataset

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:01:58.618558Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation dd975736-ec33-4e98-be07-2ece0e9f8012 · outbound

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

MapGS: Generalizable Pretraining and Data Augmentation for Online Mapping via Novel View Synthesis OpenLane-V2: A Topology Reasoning Benchmark for Unified 3D HD Mapping

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:01:58.603996Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation c0288329-814b-4cac-a0a4-3d29d1fd0877 · outbound

This paper cites To- wards domain generalization for multi-view 3d object detec- tion in bird-eye-view.

MapGS: Generalizable Pretraining and Data Augmentation for Online Mapping via Novel View Synthesis To- wards domain generalization for multi-view 3d object detec- tion in bird-eye-view

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:01:58.588241Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 323a0602-9e95-416a-9354-835ff9c2c0b7 · outbound

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

MapGS: Generalizable Pretraining and Data Augmentation for Online Mapping via Novel View Synthesis Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:01:58.575189Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 140b9803-321b-43f5-9177-b42e28290463 · outbound

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

MapGS: Generalizable Pretraining and Data Augmentation for Online Mapping via Novel View Synthesis TopoMLP: A Simple yet Strong Pipeline for Driving Topology Reasoning

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:01:58.561063Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 9c6a6f03-1f1d-41b4-8900-8ee1c21d0f11 · outbound

This paper cites Street gaussians: Modeling dynamic urban scenes with gaussian splatting.

MapGS: Generalizable Pretraining and Data Augmentation for Online Mapping via Novel View Synthesis Street gaussians: Modeling dynamic urban scenes with gaussian splatting

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:01:58.547257Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation a1d573e9-6d5e-482b-8b9b-45efb80c8220 · outbound

This paper cites Cross-dataset sensor alignment: Making visual 3d object de- tector generalizable.

MapGS: Generalizable Pretraining and Data Augmentation for Online Mapping via Novel View Synthesis Cross-dataset sensor alignment: Making visual 3d object de- tector generalizable

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:01:58.535050Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 97bed1ce-3b6f-40d8-80db-38e9aa73c4bd · outbound

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

MapGS: Generalizable Pretraining and Data Augmentation for Online Mapping via Novel View Synthesis Deformable DETR: Deformable Transform- ers for End-to-End Object Detection

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:01:58.521586Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 48504ef4-0394-4592-bc3a-99dd3e8464d3 · outbound

This paper cites an unresolved cited work.

MapGS: Generalizable Pretraining and Data Augmentation for Online Mapping via Novel View Synthesis Unresolved cited work

Reference 35

Resolution: unresolved; raw_fallback, observed 2026-08-10T21:01:58.506797Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation f77c4d1c-ca21-4145-865d-c22b93d21e49 · outbound

This paper cites nuA V2 in NUSC format To facilitate compatibility with the NUSC development tools, we package the nuA V2 dataset into the NUSC database format.

MapGS: Generalizable Pretraining and Data Augmentation for Online Mapping via Novel View Synthesis nuA V2 in NUSC format To facilitate compatibility with the NUSC development tools, we package the nuA V2 dataset into the NUSC database format

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:01:58.490488Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Pith citing papers

Observation f04bfc51-7a54-48d6-9805-6d3ca495ce88 · inbound

RGE-GS: Reward-Guided Expansive Driving Scene Reconstruction via Diffusion Priors cites this paper.

RGE-GS: Reward-Guided Expansive Driving Scene Reconstruction via Diffusion Priors MapGS: Generalizable Pretraining and Data Augmentation for Online Mapping via Novel View Synthesis

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-06T22:02:22.991689Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c0353daa-e6d2-4b17-868d-b44e62923a77 · inbound

PseudoMapTrainer: Learning Online Mapping without HD Maps cites this paper.

PseudoMapTrainer: Learning Online Mapping without HD Maps MapGS: Generalizable Pretraining and Data Augmentation for Online Mapping via Novel View Synthesis

Reference 52

Resolution: verified exact; local_arxiv, observed 2026-08-05T16:17:45.216226Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.