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Paper Citation Record · LEDGER

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

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

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

source=pdf_text observed=2026-08-10T21:01:58.216428Z digest=sha256:ce4aecfdb2e53981207013f6f91d3875019f9fd6b1385e00677145f000d7a163

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

source=pdf_text observed=2026-08-10T21:01:58.222090Z digest=sha256:009b4fd67e39db0c253f56ecadec40f66f1b7c31e7d95009e0c7fb2c745c4180

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.

source=pdf_text observed=2026-08-10T21:01:58.227278Z digest=sha256:8e1a013e927b60a2e798a0803b966dc3639bca56ce5efb4ac530ebd59e9f3adb

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.

source=pdf_text observed=2026-08-10T21:01:58.231768Z digest=sha256:1a4ff3b56189ff0d1fc8b66901d9e340da43b1bdfd48bceca1580584c01151c7

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

source=pdf_text observed=2026-08-10T21:01:58.235904Z digest=sha256:44c3f9d9b94dde541b793d5dd294d9f6d659a47fe7576a45b8471f93e4d63c50

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

source=pdf_text observed=2026-08-10T21:01:58.240859Z digest=sha256:98e9bab647184f2f091bc2e30799b5182019d9a6f9a1eb4901dc933f834cc964

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

source=pdf_text observed=2026-08-10T21:01:58.247113Z digest=sha256:bf4804a9022a4d797d994b9c78a841ef1d45b6c860ea8c01b1571717476941d8

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

source=pdf_text observed=2026-08-10T21:01:58.252950Z digest=sha256:04c66ad751598243d34f7a813419bc589ed65ede5f57d5b253c177ad57fba394

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.

source=pdf_text observed=2026-08-10T21:01:58.259159Z digest=sha256:634709c2309cd68c1da6d1546752596dc21426c29f85f2d3eed7a19da08faabd

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

source=pdf_text observed=2026-08-10T21:01:58.263235Z digest=sha256:781659e26a635866196c42369755b6367b4a599f1cd0c6cfa47cf72d1ddebdcf

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

source=pdf_text observed=2026-08-10T21:01:58.268726Z digest=sha256:d6881415389b5e9ae21a5d7b430f3659f20947500e524f4f7b06de08966376ee

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.

source=pdf_text observed=2026-08-10T21:01:58.273323Z digest=sha256:4301b077004ac6d5f3fbdece31fdbc9864f2084fc622b99aca628534bb63a83a

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

source=pdf_text observed=2026-08-10T21:01:58.278615Z digest=sha256:c09bc3ff97a25c12304195bd524d0eb2a2c02f6782d3720111e1cdc282e383fb

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

source=pdf_text observed=2026-08-10T21:01:58.283257Z digest=sha256:b3a7cdaf29b1c89e7f77bc0bc3f5c7f361011481d3c0dd7dd0a181d092cdc14b

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

source=pdf_text observed=2026-08-10T21:01:58.287870Z digest=sha256:7a9d49e54f26cfdc6ecc5392baa177670e946d1d52c6170a500ebe2657fe7576

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

source=pdf_text observed=2026-08-10T21:01:58.292062Z digest=sha256:aaec08fb638744903ad736b9761c130a3125fd14d2395ebd20cc063972bee022

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

source=pdf_text observed=2026-08-10T21:01:58.297733Z digest=sha256:08567bbc325117e3264547a612ff88567ce1ac2afc27da8e2b3582f300647e8a

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

source=pdf_text observed=2026-08-10T21:01:58.302563Z digest=sha256:482fc0f4118c67211965f33b4106c06896ac9a924c461aaa8f0d0a774dce77ab

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

source=pdf_text observed=2026-08-10T21:01:58.307874Z digest=sha256:3844caa1476571dae96618cbaf7d8a0d3c0239ce75c01f6ceb340297520064d0

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

source=pdf_text observed=2026-08-10T21:01:58.314523Z digest=sha256:c5cd3e54a76fa120f8d803f53b6a98ca8aed95cdcef10237b0317d237df03246

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

source=pdf_text observed=2026-08-10T21:01:58.322276Z digest=sha256:1ba1a71e565be3834f0b136fce386c234b7f3cc1dad16fe592f7ee99efd9ebe5

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.

source=pdf_text observed=2026-08-10T21:01:58.329295Z digest=sha256:935c334e3ea2285268fa437d1142e3ceb9d7822d78b19058e4c2c8e40b5f1d9a

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

source=pdf_text observed=2026-08-10T21:01:58.336166Z digest=sha256:30095a95505c97d0695be922913513c80ac51e5ea694e0a83947d0784efd70e1

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

source=pdf_text observed=2026-08-10T21:01:58.345223Z digest=sha256:dce44c2aea5f0c155b06ed20bcb56c524ad59a6c378fd43f662e9e4593a34143

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

source=pdf_text observed=2026-08-10T21:01:58.349644Z digest=sha256:3596296f4aae87f80fc69efa350fffeeef41339d651ad1569431074d6f9197ba

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

source=pdf_text observed=2026-08-10T21:01:58.353243Z digest=sha256:c247b6a7662879e5a20d2dfc9157b9d3d1fdb527b5310ebb42075bd7e0074d96

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

source=pdf_text observed=2026-08-10T21:01:58.357942Z digest=sha256:2e469e54e731de211765ace4af3bbccd528bd42f8016452053a91dd1480a67b3

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

source=pdf_text observed=2026-08-10T21:01:58.361256Z digest=sha256:d6106995e29c76142c072e2b53f604b3a95a3c11784fe0c5911baa9e3a5e95ea

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

source=pdf_text observed=2026-08-10T21:01:58.365726Z digest=sha256:0c5f9f2c0d06c6a3b70ab762b70ec66f359e2f3c6a656f0b3320f3975fadc4ec

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

source=pdf_text observed=2026-08-10T21:01:58.369973Z digest=sha256:9fc126e00bdc25a61bae24b373368452d4ae08b3009eb3c4b29434fb904e49fd

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

source=pdf_text observed=2026-08-10T21:01:58.373839Z digest=sha256:c6e6df6f2eee560d75100814f0b0261e4111cd074bb50d95a992739c46e87eaa

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

source=pdf_text observed=2026-08-10T21:01:58.377699Z digest=sha256:7614638ab558e9d817481e8872ba0963d28646e32ea8d96cc9a6a2c9209411c6

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

source=pdf_text observed=2026-08-10T21:01:58.382102Z digest=sha256:7cdcfd80b3f028e3a8ac98ac77c522cefb211c959e386566cdd04a829efc2011

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

source=pdf_text observed=2026-08-10T21:01:58.385964Z digest=sha256:478588910ee141273fe7dd5186f666a5b2f05d521afb3a738764e6a6ea157a40

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

source=pdf_text observed=2026-08-10T21:01:58.390805Z digest=sha256:0a09e822c54fe531d7cecd278ae738721346dfaf1257cb0696d60c9e16232c3f

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.

source=pdf_text observed=2026-08-06T22:02:22.991689Z digest=sha256:9ebe5c4b78ad87da48ac0a420ff471c8fdeba943c79f10a0928bf7d5854f14ad

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

source=pdf_text observed=2026-08-05T16:17:45.176004Z digest=sha256:6acb2fa319cb5c3e11fd666ab38ccc471ef0846e5e00cda837c44349943ecb98