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Paper Citation Record · LEDGER

Learning Isometric Embeddings of Road Networks using Multidimensional Scaling

As of 18 August 2026, this Paper Citation Record lists 100 of 131 outbound references and 0 inbound Pith citation observations for arXiv:2504.17534.

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

pith.paper-citation-record.v1
2504.17534 v1

Coverage vector

measured 100 of 131 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T10:41:09.860687Z

measured 100 of 100 standing notices

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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Source: cited_works

Reference resolution

100 of 131 outbound references displayed

  • verified exact8
  • verified fuzzy24
  • unresolved64
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch4

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Outbound references

Observation e827083e-8e57-434c-886d-cd5f3a6a6551 · outbound

This paper cites A Survey of Autonomous Driving: Common Practices and Emerging Technologies.

Learning Isometric Embeddings of Road Networks using Multidimensional Scaling A Survey of Autonomous Driving: Common Practices and Emerging Technologies

Reference 1

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Observation 80a77ecc-f460-4f9b-b884-db936f399a46 · outbound

This paper cites Thorpe, M.

Learning Isometric Embeddings of Road Networks using Multidimensional Scaling Thorpe, M

Reference 2

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Observation fb68c6bd-3d4f-4645-af29-0b5261068ba8 · outbound

This paper cites Thorpe, M.

Learning Isometric Embeddings of Road Networks using Multidimensional Scaling Thorpe, M

Reference 3

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Observation c3fec28e-7d8a-441a-94ab-1edb6adc637e · outbound

This paper cites Google trends data for machine learning al- gorithms between 2008 and 2018, Last Access: 04.02.2022.

Learning Isometric Embeddings of Road Networks using Multidimensional Scaling Google trends data for machine learning al- gorithms between 2008 and 2018, Last Access: 04.02.2022

Reference 4

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Observation 5fcd73e8-d0ab-4a52-83c9-6d2645266eee · outbound

This paper cites Banerjee, S.

Learning Isometric Embeddings of Road Networks using Multidimensional Scaling Banerjee, S

Reference 5

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Observation 4095730d-ef4c-4ba9-89aa-bb9c06c20844 · outbound

This paper cites Exploring applications of deep reinforcement learning for real-world autonomous driving systems.

Learning Isometric Embeddings of Road Networks using Multidimensional Scaling Exploring applications of deep reinforcement learning for real-world autonomous driving systems

Reference 6

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Observation 89f0c917-757c-4b53-9616-0b69d62f19d4 · outbound

This paper cites Deep Reinforcement Learning for Autonomous Driving: A Survey.

Learning Isometric Embeddings of Road Networks using Multidimensional Scaling Deep Reinforcement Learning for Autonomous Driving: A Survey

Reference 7

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Observation f97cebef-bffa-47fe-9795-158dfcdde232 · outbound

This paper cites A Survey of Deep Reinforcement Learning Algorithms for Motion Planning and Control of Autonomous Vehicles.

Learning Isometric Embeddings of Road Networks using Multidimensional Scaling A Survey of Deep Reinforcement Learning Algorithms for Motion Planning and Control of Autonomous Vehicles

Reference 8

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Observation 4e4be481-b4c0-4253-9beb-3827b7009502 · outbound

This paper cites A review of motion planning techniques for automated vehicles.IEEE Transactions on Intelligent Transportation Systems, 17(4):1135–1145, 2016.

Learning Isometric Embeddings of Road Networks using Multidimensional Scaling A review of motion planning techniques for automated vehicles.IEEE Transactions on Intelligent Transportation Systems, 17(4):1135–1145, 2016

Reference 9

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Observation 99058c40-fde7-46e9-9e3f-ccd316d65f92 · outbound

This paper cites A survey of motion planning and control techniques for self-driving urban vehicles.IEEE Transactions on Intelligent V ehicles, 1(1):33–55, 2016.

Learning Isometric Embeddings of Road Networks using Multidimensional Scaling A survey of motion planning and control techniques for self-driving urban vehicles.IEEE Transactions on Intelligent V ehicles, 1(1):33–55, 2016

Reference 10

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Observation c9db4dc4-a293-4ccd-b632-78e85b1332ce · outbound

This paper cites Planning and decision-making for autonomous vehicles.Annual Review of Control, Robotics, and Autonomous Systems, 1(1):187–210, 2018.

Learning Isometric Embeddings of Road Networks using Multidimensional Scaling Planning and decision-making for autonomous vehicles.Annual Review of Control, Robotics, and Autonomous Systems, 1(1):187–210, 2018

Reference 11

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Observation eccbe953-dc5f-4b89-a024-a7a67eb1f7e5 · outbound

This paper cites Safe rein- forcement learning for autonomous lane changing using set-based prediction.

Learning Isometric Embeddings of Road Networks using Multidimensional Scaling Safe rein- forcement learning for autonomous lane changing using set-based prediction

Reference 12

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Observation 994923d8-9fa2-4c65-a041-49371896bcb3 · outbound

This paper cites Autonomous driving in the real world: Experiences with tesla autopilot and summon.

Learning Isometric Embeddings of Road Networks using Multidimensional Scaling Autonomous driving in the real world: Experiences with tesla autopilot and summon

Reference 13

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Observation 4ff97d15-c241-49d3-8661-a5a3b46e072a · outbound

This paper cites We help leaders across all sectors relevant to the autonomous-driving ecosystem develop a deeper understanding of the disruptions and opportunities ahead., accessed: 30.12.2021.

Learning Isometric Embeddings of Road Networks using Multidimensional Scaling We help leaders across all sectors relevant to the autonomous-driving ecosystem develop a deeper understanding of the disruptions and opportunities ahead., accessed: 30.12.2021

Reference 14

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Observation aad31e8a-c569-4aa2-bf8d-a90e482dd5a0 · outbound

This paper cites an unresolved cited work.

Learning Isometric Embeddings of Road Networks using Multidimensional Scaling Unresolved cited work

Reference 15

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Observation 4c520cb6-e055-4165-a8e5-26ebf2a9e15b · outbound

This paper cites The ind dataset: A drone dataset of naturalistic road user trajectories at german intersections.

Learning Isometric Embeddings of Road Networks using Multidimensional Scaling The ind dataset: A drone dataset of naturalistic road user trajectories at german intersections

Reference 16

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Observation 97717617-896b-41b5-806a-8753bfff8157 · outbound

This paper cites The highd dataset: A drone dataset of naturalistic vehicle trajectories on german highways for validation of highly automated driving systems.

Learning Isometric Embeddings of Road Networks using Multidimensional Scaling The highd dataset: A drone dataset of naturalistic vehicle trajectories on german highways for validation of highly automated driving systems

Reference 17

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Observation ca974c08-d3f3-41d4-bd77-c91f376d2bd8 · outbound

This paper cites INTERACTION Dataset: An INTERnational, Adversarial and Cooperative moTION Dataset in Interactive Driving Scenarios with Semantic Maps.

Learning Isometric Embeddings of Road Networks using Multidimensional Scaling INTERACTION Dataset: An INTERnational, Adversarial and Cooperative moTION Dataset in Interactive Driving Scenarios with Semantic Maps

Reference 18

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Observation 8dbdbb7f-33da-4de7-862e-bcbdde2f9703 · outbound

This paper cites Scalability in perception for autonomous driving: Waymo open dataset.

Learning Isometric Embeddings of Road Networks using Multidimensional Scaling Scalability in perception for autonomous driving: Waymo open dataset

Reference 19

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Observation 6b45d842-1649-4390-8f94-cc4cbcd3a9aa · outbound

This paper cites Im- proving generalization of transfer learning across domains using spatio- temporal features in autonomous driving, 2021.

Learning Isometric Embeddings of Road Networks using Multidimensional Scaling Im- proving generalization of transfer learning across domains using spatio- temporal features in autonomous driving, 2021

Reference 20

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Observation 6f4a9982-e7b2-4af7-9a7c-35ced3c5a3ab · outbound

This paper cites Graph Neural Networks and Reinforcement Learning for Behavior Generation in Semantic Environments.

Learning Isometric Embeddings of Road Networks using Multidimensional Scaling Graph Neural Networks and Reinforcement Learning for Behavior Generation in Semantic Environments

Reference 21

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Observation 87ff95a1-c801-4c3c-9a38-c724f9651c6a · outbound

This paper cites Deep Surrogate Q-Learning for Autonomous Driving.

Learning Isometric Embeddings of Road Networks using Multidimensional Scaling Deep Surrogate Q-Learning for Autonomous Driving

Reference 22

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Observation d5df6780-df56-415e-a00f-25311adc65dd · outbound

This paper cites Dynamic Interaction-Aware Scene Understanding for Reinforcement Learning in Autonomous Driving.

Learning Isometric Embeddings of Road Networks using Multidimensional Scaling Dynamic Interaction-Aware Scene Understanding for Reinforcement Learning in Autonomous Driving

Reference 23

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Observation 98937dfe-639e-4d92-9db1-23da1286e3e4 · outbound

This paper cites Multi-lane Cruising Using Hierarchical Planning and Reinforcement Learning.

Learning Isometric Embeddings of Road Networks using Multidimensional Scaling Multi-lane Cruising Using Hierarchical Planning and Reinforcement Learning

Reference 24

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Observation 099d3f4f-61d1-4a68-82e5-e387d40140b0 · outbound

This paper cites Ultra: A reinforcement learning generalization benchmark for autonomous driving.

Learning Isometric Embeddings of Road Networks using Multidimensional Scaling Ultra: A reinforcement learning generalization benchmark for autonomous driving

Reference 25

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Observation 770998c5-2ed9-45e0-81b8-e1178bd322ce · outbound

This paper cites A new open- source off-road environment for benchmark generalization of au- tonomous driving.IEEE Access, 9:136071–136082, 2021.

Learning Isometric Embeddings of Road Networks using Multidimensional Scaling A new open- source off-road environment for benchmark generalization of au- tonomous driving.IEEE Access, 9:136071–136082, 2021

Reference 26

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Observation 691f1223-fefd-4c24-b834-ac489e51ba79 · outbound

This paper cites Generalized object detection onfisheye cameras for autonomous driving: Dataset, representations and baseline.

Learning Isometric Embeddings of Road Networks using Multidimensional Scaling Generalized object detection onfisheye cameras for autonomous driving: Dataset, representations and baseline

Reference 27

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Observation 70b01cb5-e3e4-4f5c-8cbd-61e94807581b · outbound

This paper cites A General Safety Framework for Learning-Based Control in Uncertain Robotic Systems.

Learning Isometric Embeddings of Road Networks using Multidimensional Scaling A General Safety Framework for Learning-Based Control in Uncertain Robotic Systems

Reference 28

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This paper cites Generalization in autonomous vehicle development, accessed: 31.12.2021.

Learning Isometric Embeddings of Road Networks using Multidimensional Scaling Generalization in autonomous vehicle development, accessed: 31.12.2021

Reference 29

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This paper cites Adversarial Attacks on Neural Network Policies.

Learning Isometric Embeddings of Road Networks using Multidimensional Scaling Adversarial Attacks on Neural Network Policies

Reference 30

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This paper cites Abbeel, Adam Coates, Morgan Quigley, and A.

Learning Isometric Embeddings of Road Networks using Multidimensional Scaling Abbeel, Adam Coates, Morgan Quigley, and A

Reference 31

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Observation e1cf4485-5030-451b-9e7f-dffe59a2558b · outbound

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Learning Isometric Embeddings of Road Networks using Multidimensional Scaling Unresolved cited work

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This paper cites Zico Kolter, Christian Plagemann, David T.

Learning Isometric Embeddings of Road Networks using Multidimensional Scaling Zico Kolter, Christian Plagemann, David T

Reference 33

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This paper cites A simple learning strategy for high-speed quadrocopter multi-flips.

Learning Isometric Embeddings of Road Networks using Multidimensional Scaling A simple learning strategy for high-speed quadrocopter multi-flips

Reference 34

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Observation 6d11de9b-dc6c-453a-9264-acf1eaf05c39 · outbound

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Learning Isometric Embeddings of Road Networks using Multidimensional Scaling Unresolved cited work

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Observation 17e4bbf0-2b4e-4088-8d41-8bc48b03d66a · outbound

This paper cites Decision-making and path planning for highway autonomous driving based on spatio-temporal lane-change gaps.IEEE Systems Journal, pages 1–11, 2021.

Learning Isometric Embeddings of Road Networks using Multidimensional Scaling Decision-making and path planning for highway autonomous driving based on spatio-temporal lane-change gaps.IEEE Systems Journal, pages 1–11, 2021

Reference 36

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Observation cf02d9a3-0f24-484c-a499-169b590097e5 · outbound

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Learning Isometric Embeddings of Road Networks using Multidimensional Scaling Unresolved cited work

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Learning Isometric Embeddings of Road Networks using Multidimensional Scaling Graph Neural Networks: A Review of Methods and Applications

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Learning Isometric Embeddings of Road Networks using Multidimensional Scaling An experimental study on distance- based graph drawing

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Learning Isometric Embeddings of Road Networks using Multidimensional Scaling An algorithm for drawing general undirected graphs.Information processing letters, 31(1):7–15, 1989

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Learning Isometric Embeddings of Road Networks using Multidimensional Scaling Drawing graphs to convey proximity: An incre- mental arrangement method.ACM Transactions on Computer-Human Interaction (TOCHI), 4(3):197–229, 1997

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Learning Isometric Embeddings of Road Networks using Multidimensional Scaling Time-distance mapping: visualization of transportation level of service

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Observation 6336ee3b-3ce7-4c42-86b2-28da68a95f92 · outbound

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Learning Isometric Embeddings of Road Networks using Multidimensional Scaling TIME-SPACE MAPPING BASED ON TOPOLOGI- CAL TRANSFORMA TION OF PHYSICAL MAP

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Observation 54be4c19-774c-412d-8ffd-4edef6d7d7b4 · outbound

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Learning Isometric Embeddings of Road Networks using Multidimensional Scaling Scenarios for Development, Test and Validation of Automated Vehicles

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This paper cites Marius Z ¨ollner.

Learning Isometric Embeddings of Road Networks using Multidimensional Scaling Marius Z ¨ollner

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Observation f9d99aa9-b817-4407-8342-25bf989d8b30 · outbound

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Learning Isometric Embeddings of Road Networks using Multidimensional Scaling Ontology based Scene Creation for the Development of Automated Vehicles

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Observation 71e3d901-28b9-4632-93a0-f59f05384f59 · outbound

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Learning Isometric Embeddings of Road Networks using Multidimensional Scaling Ontology-based context awareness for driving assistance systems

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Observation 1c0fccb9-a9d8-4581-95b7-44d87abb0aa2 · outbound

This paper cites Marius Z ¨ollner.

Learning Isometric Embeddings of Road Networks using Multidimensional Scaling Marius Z ¨ollner

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Observation d9c69359-fe79-4347-8a83-85348b88ff1f · outbound

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Learning Isometric Embeddings of Road Networks using Multidimensional Scaling Graph-based context representation, environment modeling and infor- mation aggregation for automated driving

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source=pdf_text observed=2026-08-16T10:41:09.656566Z digest=sha256:d020a3c094d8b03ffeabd0921b4204affd874f6df6d7fffff3c1d3cbec124a65

Observation 5ce31c9a-5c33-4f11-b76d-994d9865534a · outbound

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Learning Isometric Embeddings of Road Networks using Multidimensional Scaling Graph Neural Networks for Modelling Traffic Participant Interaction

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Observation 07c55e76-fb7c-4461-8487-8b054f85609c · outbound

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Learning Isometric Embeddings of Road Networks using Multidimensional Scaling Marius Zoellner

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Observation 54d6c471-4d41-4b3b-ad3f-231e7a1417de · outbound

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Learning Isometric Embeddings of Road Networks using Multidimensional Scaling Common- road: Composable benchmarks for motion planning on roads

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Observation 196dae59-4341-4836-9f60-c425ba7f2902 · outbound

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Learning Isometric Embeddings of Road Networks using Multidimensional Scaling Learning to detect roads in high-resolution aerial images

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Observation 68911962-6827-4d27-bf73-8ccf8e854a5e · outbound

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Learning Isometric Embeddings of Road Networks using Multidimensional Scaling RoadTracer: Automatic Extraction of Road Networks from Aerial Images

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Observation dc8cb3b1-c0d6-44c4-8a50-8868a892471d · outbound

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Learning Isometric Embeddings of Road Networks using Multidimensional Scaling Sat2Graph: Road Graph Extraction through Graph-Tensor Encoding

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Observation e777c98d-384d-49e7-b77f-87179f24d54a · outbound

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Learning Isometric Embeddings of Road Networks using Multidimensional Scaling Deeproadmapper: Extracting road topology from aerial images

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Observation 0e4a1248-6847-4250-9cb2-7e1e090d107e · outbound

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Learning Isometric Embeddings of Road Networks using Multidimensional Scaling V ecroad: Point-based iterative graph exploration for road graphs extraction

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Observation 58bed5a3-34bd-46ad-b61c-083b46908cd0 · outbound

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Learning Isometric Embeddings of Road Networks using Multidimensional Scaling Deep Multi-Sensor Lane Detection

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Observation e644299c-9e44-4907-9ac6-49a1a843fed7 · outbound

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Learning Isometric Embeddings of Road Networks using Multidimensional Scaling A variational approach to online road and path segmentation with monocular vision

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source=pdf_text observed=2026-08-16T10:41:09.696396Z digest=sha256:b52e26303978f504734395ed1227a398c9f68a641e50d9a8735272533b653c7e

Observation 2ba33fa0-5563-47f4-b964-0165cb9d620e · outbound

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Learning Isometric Embeddings of Road Networks using Multidimensional Scaling Hierarchical recurrent attention net- works for structured online maps

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Observation d090043a-491e-49af-8b51-66c0815f6832 · outbound

This paper cites 3D-LaneNet+: Anchor Free Lane Detection using a Semi-Local Representation.

Learning Isometric Embeddings of Road Networks using Multidimensional Scaling 3D-LaneNet+: Anchor Free Lane Detection using a Semi-Local Representation

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source=pdf_text observed=2026-08-16T10:41:09.703931Z digest=sha256:13bc681041659bb739a3cb5cd4b91ff75bfb0eb65f92e9a9d311f15a497a60d0

Observation a7f8f595-14bf-4f04-bc5a-1615d83a38b7 · outbound

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Learning Isometric Embeddings of Road Networks using Multidimensional Scaling Dagmapper: Learning to map by discov- ering lane topology

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Observation 07f2226a-9eb3-4c6f-be82-98e2d7d78c1f · outbound

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Learning Isometric Embeddings of Road Networks using Multidimensional Scaling Non-parametric lane estimation in urban environments

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Observation 9830d74b-4c9e-427a-bd31-5181842b9ace · outbound

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Learning Isometric Embeddings of Road Networks using Multidimensional Scaling Convolutional recurrent network for road bound- ary extraction

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Observation e4a4b8c2-ccc6-4169-bf10-debfac1bc0b7 · outbound

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Learning Isometric Embeddings of Road Networks using Multidimensional Scaling Lane graph estimation for scene understanding in urban driving, 2021

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Observation 41685a61-310d-4f2d-ac0c-f3cb1f3ca4a1 · outbound

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Learning Isometric Embeddings of Road Networks using Multidimensional Scaling Graph R-CNN for Scene Graph Generation

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Observation 4249472a-d40a-446c-b248-05e252c3d7f3 · outbound

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Learning Isometric Embeddings of Road Networks using Multidimensional Scaling Douglas Carroll and Phipps Arabie

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Observation f02fe971-582f-4fa0-9d9e-6317534f45d6 · outbound

This paper cites Douglas Carroll, Myron Wish, Murray Turoff, and Harold A.

Learning Isometric Embeddings of Road Networks using Multidimensional Scaling Douglas Carroll, Myron Wish, Murray Turoff, and Harold A

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Observation 9d4a32e8-e55c-42ac-a776-3bbf75a6a753 · outbound

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Learning Isometric Embeddings of Road Networks using Multidimensional Scaling Multidimensional scaling of emotional facial expressions

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Learning Isometric Embeddings of Road Networks using Multidimensional Scaling Are judgments of semantic relatedness systematically impaired in alzheimer’s disease?Neuropsychologia, 47:3084–94, 08 2009

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Learning Isometric Embeddings of Road Networks using Multidimensional Scaling Developmental changes in face processing: results from multidimensional scaling.J

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Observation d9985720-1322-47bd-8b81-b924b61cd531 · outbound

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Learning Isometric Embeddings of Road Networks using Multidimensional Scaling Predicting odorant quality perceptions from multidimen- sional scaling of olfactory bulb glomerular activity patterns.Behavioral neuroscience, 120:1337–45, 01 2007

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Observation b32bbba4-caee-426b-8cdb-40353b8c258e · outbound

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Observation d1938981-7909-407c-ae46-1f0e03c2ccb6 · outbound

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Learning Isometric Embeddings of Road Networks using Multidimensional Scaling Applying metric and nonmetric multidimensional scaling to ecological studies: Some new results

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source=pdf_text observed=2026-08-16T10:41:09.755657Z digest=sha256:95cc0675f485a4f728f8df312231b42c97a1db502e715e7da8e06fec848e2d02

Observation d995801a-7bf0-4c72-b55d-e51f0dda1902 · outbound

This paper cites An introduction to nonmetric multidimensional scaling.American Journal of Political Science, 19:343, 1975.

Learning Isometric Embeddings of Road Networks using Multidimensional Scaling An introduction to nonmetric multidimensional scaling.American Journal of Political Science, 19:343, 1975

Reference 75

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:41:11.266988Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T10:41:09.760373Z digest=sha256:2ae27c33705efbce2aaf2c870501c7a0178467b030b1409b49dd0133bedcb36b

Observation c5cd6c3e-c663-459b-b310-92cc3bfb3f92 · outbound

This paper cites Semidefinite programming based algorithms for sensor network local- ization.TOSN, 2:188–220, 05 2006.

Learning Isometric Embeddings of Road Networks using Multidimensional Scaling Semidefinite programming based algorithms for sensor network local- ization.TOSN, 2:188–220, 05 2006

Reference 76

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:41:11.251712Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T10:41:09.764330Z digest=sha256:39db6626f1c4f451b3238754090542e05fd7f56ece1aff50edd480f46e1940b1

Observation 896984b2-0d3c-44a8-802c-5a0f75d6e1ed · outbound

This paper cites Hout, Megan H.

Learning Isometric Embeddings of Road Networks using Multidimensional Scaling Hout, Megan H

Reference 77

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:41:11.237181Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T10:41:09.768075Z digest=sha256:155cd307a53e905a6090e8eb6b867970f0dcb3d9e82bdd6090c24d4f4079696e

Observation 883b66f6-fa0f-4521-bf6a-880a548b4746 · outbound

This paper cites Efficient computation of isometry[U+2010]invariant distances between sur- faces.SIAM J.

Learning Isometric Embeddings of Road Networks using Multidimensional Scaling Efficient computation of isometry[U+2010]invariant distances between sur- faces.SIAM J

Reference 78

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:41:11.223197Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T10:41:09.772039Z digest=sha256:558f5444017029be131762e2d0ebc758806b93949c6efc7bb4d10b474cf3cf4f

Observation f1b4eaa2-282f-49ce-a574-ce11d8cac462 · outbound

This paper cites Features of similarity.Psychological Review, 84(4):327–352, 1977.

Learning Isometric Embeddings of Road Networks using Multidimensional Scaling Features of similarity.Psychological Review, 84(4):327–352, 1977

Reference 79

Resolution
unresolved
no resolver link, observed 2026-08-16T10:41:09.775902Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T10:41:09.775902Z digest=sha256:d2969d25ffa4350f8f826244d2fd63cd20d9ce490bd06acdb2d252f2fd417da0

Observation 5ed16027-2ab0-4788-88be-bd746e050d30 · outbound

This paper cites Multidimensional scaling of asymmetric proximity: Model and method.Behaviormetrika, 17(28):49–80, Jul 1990.

Learning Isometric Embeddings of Road Networks using Multidimensional Scaling Multidimensional scaling of asymmetric proximity: Model and method.Behaviormetrika, 17(28):49–80, Jul 1990

Reference 80

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:41:11.199553Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T10:41:09.779923Z digest=sha256:1f53068118e8962d25dcff1be1125fda7a0aefdc1537cd4f63eebd8de22aaa27

Observation 35c7ed67-daab-4d98-b7be-0d2cd98d1bc5 · outbound

This paper cites A method of multidimensional scaling to obtain a sphere configuration.Hokkaido Behavioral Science Report, Series-M, 4, 1983.

Learning Isometric Embeddings of Road Networks using Multidimensional Scaling A method of multidimensional scaling to obtain a sphere configuration.Hokkaido Behavioral Science Report, Series-M, 4, 1983

Reference 81

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:41:11.185435Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T10:41:09.783840Z digest=sha256:5bb48675a8fa42e6e280ade3923c2a6879087afcd6dfe16a3ebc8a931af54f4d

Observation bf88bc76-063c-49d4-bece-20c39842076e · outbound

This paper cites Restricted multidimensional scaling models for asymmetric proximities.Psychometrika, 47(2):201–208, 1982.

Learning Isometric Embeddings of Road Networks using Multidimensional Scaling Restricted multidimensional scaling models for asymmetric proximities.Psychometrika, 47(2):201–208, 1982

Reference 82

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:41:11.170950Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T10:41:09.787916Z digest=sha256:5839c0f1d3428daad387a86eb4781396a53f69ac9a122e6479bf1274aed1d5b8

Observation 2bcb9b36-be73-4d1d-a7c8-6ff20bd1439b · outbound

This paper cites Geometric models for asymmetric similarity data.Behaviormetrika, 21:81–96, 1987.

Learning Isometric Embeddings of Road Networks using Multidimensional Scaling Geometric models for asymmetric similarity data.Behaviormetrika, 21:81–96, 1987

Reference 83

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:41:11.154744Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T10:41:09.792621Z digest=sha256:262818583bd46950c42ae535796ab8ba7f77430d2886d435aab3816b4ff063eb

Observation a8fb8860-e7d9-4b9f-be6f-43013b77f9e9 · outbound

This paper cites Nonmetric multidimensional scaling of asymmetric proximities.Behaviormetrika, 14(21):81–96, 1987.

Learning Isometric Embeddings of Road Networks using Multidimensional Scaling Nonmetric multidimensional scaling of asymmetric proximities.Behaviormetrika, 14(21):81–96, 1987

Reference 84

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:41:11.140048Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T10:41:09.796424Z digest=sha256:6b097294c0c0a82d062bbb1761a8c79ee716be217c211e5431617e118d7fe187

Observation 9c78e668-04e7-4194-96f6-245f419d5218 · outbound

This paper cites Collecting and analyzing data in multidimensional scaling experiments: A guide for psychologists using spss.Tutorials in Quantitative Methods for Psychology, 2, 03 2006.

Learning Isometric Embeddings of Road Networks using Multidimensional Scaling Collecting and analyzing data in multidimensional scaling experiments: A guide for psychologists using spss.Tutorials in Quantitative Methods for Psychology, 2, 03 2006

Reference 85

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:41:11.126005Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T10:41:09.800210Z digest=sha256:975acb271e835e4f65a46a0cdf9f9c9a0c9fb069ac4ba100c55e0ea54fde2a0f

Observation 954a9e86-3022-4f48-b63d-038c03b335b3 · outbound

This paper cites Modern multidimensional scaling: Theory and applica- tions (second edition).Journal of Statistical Software, 14, 10 2005.

Learning Isometric Embeddings of Road Networks using Multidimensional Scaling Modern multidimensional scaling: Theory and applica- tions (second edition).Journal of Statistical Software, 14, 10 2005

Reference 86

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:41:11.112038Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T10:41:09.803941Z digest=sha256:07226385e149f45b9cee71fbffae57d61c49a343e490e928269e93939c8a23e6

Observation 6ad8d7e6-345b-4d20-956d-22566d2314a6 · outbound

This paper cites SAGE Publications, Inc., 1978.

Learning Isometric Embeddings of Road Networks using Multidimensional Scaling SAGE Publications, Inc., 1978

Reference 87

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:41:11.098160Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T10:41:09.807847Z digest=sha256:f84e1be034f7a9b8b1285ae21cae0079ccf5c58ef43e3ee9ceafaf69e44fc9d4

Observation 1638303d-90e5-4f85-a235-941559213995 · outbound

This paper cites an unresolved cited work.

Learning Isometric Embeddings of Road Networks using Multidimensional Scaling Unresolved cited work

Reference 88

Resolution
unresolved
no resolver link, observed 2026-08-16T10:41:09.811643Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T10:41:09.811643Z digest=sha256:0bd0ed48b80fe4376fd468dee09d4a00d2397826caead8b3682025dcbe57ff1f

Observation 92c85950-4b12-4cbb-8520-f4c8472cff13 · outbound

This paper cites Some distance properties of latent root and vector methods used in multivariate analysis.Biometrika, 53(3-4):325–338, 1966.

Learning Isometric Embeddings of Road Networks using Multidimensional Scaling Some distance properties of latent root and vector methods used in multivariate analysis.Biometrika, 53(3-4):325–338, 1966

Reference 89

Resolution
unresolved
no resolver link, observed 2026-08-16T10:41:09.815434Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T10:41:09.815434Z digest=sha256:1bb1953750cce551c0604036351034717e16f2eb7143bfa366f12b0037bb7cfc

Observation e7b2179e-0b4d-4783-8134-989ec99cefa2 · outbound

This paper cites Multidimensional scaling: I.

Learning Isometric Embeddings of Road Networks using Multidimensional Scaling Multidimensional scaling: I

Reference 90

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:41:11.065856Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T10:41:09.819683Z digest=sha256:58aece7ac1aa6242d53f5076fa4a1a64666b8fe05eda9129cd7086bc742a491e

Observation 343713d4-8a17-4627-8837-078d81612eab · outbound

This paper cites Eigensolver methods for progressive multidimensional scaling of large data.

Learning Isometric Embeddings of Road Networks using Multidimensional Scaling Eigensolver methods for progressive multidimensional scaling of large data

Reference 91

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:41:11.052859Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T10:41:09.823778Z digest=sha256:0d8f0ccdb836b1bf39245baf558991d63dc8e0ba7fe844d67d1937e5010ef998

Observation 65473656-9e57-48a7-89ec-6e853b68135c · outbound

This paper cites Ssde: Fast graph drawing using sampled spectral distance embedding.

Learning Isometric Embeddings of Road Networks using Multidimensional Scaling Ssde: Fast graph drawing using sampled spectral distance embedding

Reference 92

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:41:11.039312Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T10:41:09.827921Z digest=sha256:b5d8808ab119db77d1d5865798c6a3e768a7641547490e32140e0473ffe46ce1

Observation 2371e86f-8524-4f8b-b00e-fd3bd1a7db95 · outbound

This paper cites Global versus local methods in nonlinear dimensionality reduction.Advances in neural information processing systems, 15, 2002.

Learning Isometric Embeddings of Road Networks using Multidimensional Scaling Global versus local methods in nonlinear dimensionality reduction.Advances in neural information processing systems, 15, 2002

Reference 93

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:41:11.025886Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T10:41:09.832023Z digest=sha256:137250056e1b89fcc79c56dd7851c08bbbc0f8d8d8bb45b3f05a47895a0bad65

Observation 6605e4ca-f46b-4b1a-a180-1a94fd3bf557 · outbound

This paper cites Multi- dimensional scaling for large genomic data sets.BMC bioinformatics, 9(1):1–17, 2008.

Learning Isometric Embeddings of Road Networks using Multidimensional Scaling Multi- dimensional scaling for large genomic data sets.BMC bioinformatics, 9(1):1–17, 2008

Reference 94

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:41:11.012314Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T10:41:09.836079Z digest=sha256:672045f40136476a494504a6fe336229da986fe52a1346720bee9518dbffa13d

Observation 88f7374f-a7ea-491c-8c84-75a0dbdf129a · outbound

This paper cites An experimental study on distance- based graph drawing.

Learning Isometric Embeddings of Road Networks using Multidimensional Scaling An experimental study on distance- based graph drawing

Reference 95

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:41:10.998290Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T10:41:09.839919Z digest=sha256:25f3172fcfd906ba275a1d6521206c2a3b98ed48532a65a2464f02848e3b0a51

Observation aae9d271-109c-41ef-b53e-9e7ad2efb8b8 · outbound

This paper cites Graph Drawing by Classical Mul- tidimensional Scaling: New Perspectives.

Learning Isometric Embeddings of Road Networks using Multidimensional Scaling Graph Drawing by Classical Mul- tidimensional Scaling: New Perspectives

Reference 96

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:41:10.985484Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T10:41:09.844269Z digest=sha256:1b5cc3b12794d795da3d3dc18c2a04a1ebcbfad0ddcbf8fa4a8169fcc2650e6d

Observation 65d1301f-ed47-4390-897e-3648c12a4173 · outbound

This paper cites Xgvis: Interactive data visualization with multidi- mensional scaling.Journal of Computational and Graphical Statistics, pages 1061–8600, 2001.

Learning Isometric Embeddings of Road Networks using Multidimensional Scaling Xgvis: Interactive data visualization with multidi- mensional scaling.Journal of Computational and Graphical Statistics, pages 1061–8600, 2001

Reference 97

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:41:10.971924Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T10:41:09.849097Z digest=sha256:bddb3864ac6e1de4d436ec5f9f40abaffee06e4e5dd222b867bfbb70c1107284

Observation f4653e43-930c-45e7-a9c7-7970e4da0191 · outbound

This paper cites Costa, Neal Patwari, and Alfred O.

Learning Isometric Embeddings of Road Networks using Multidimensional Scaling Costa, Neal Patwari, and Alfred O

Reference 98

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:41:10.959145Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T10:41:09.853021Z digest=sha256:ceb1503301187d51e17e12dcdb2fea6e1edf32b024d3f0c3246d50d92312faa1

Observation df2f4e0c-aedc-4e44-ac73-6a503ab27258 · outbound

This paper cites Gansner, Y ehuda Koren, and Stephen North.

Learning Isometric Embeddings of Road Networks using Multidimensional Scaling Gansner, Y ehuda Koren, and Stephen North

Reference 99

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:41:10.945761Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T10:41:09.856873Z digest=sha256:31e7396a71d1e35fbc065ea18c5aabadb8721e5f094b831f7b7555b84d4cbd9f

Observation 1724bc3a-d9a3-485a-9c9d-774f664c8865 · outbound

This paper cites Convergence of the majorization method for multidi- mensional scaling.Journal of classication, 5(2):163–180, 1988.

Learning Isometric Embeddings of Road Networks using Multidimensional Scaling Convergence of the majorization method for multidi- mensional scaling.Journal of classication, 5(2):163–180, 1988

Reference 100

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:41:10.932779Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T10:41:09.860687Z digest=sha256:1c945ea495201c8f5fe2f2d70e08c7920c389b85c83be47d49819f98d5a508ed

Pith citing papers

No inbound Pith citation observations are available.