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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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measured 0 of 0 inbound itemization

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measured 0 of 1 external citation measurements

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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

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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

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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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Observation 5619eed0-b9b6-4f1e-8218-a6b450123f1d · outbound

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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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Observation ea25de65-c0b0-4c70-8bde-7a9a43bef2fd · outbound

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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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source=pdf_text observed=2026-08-16T10:41:09.628791Z digest=sha256:bbb6a3cefa113fc67922bb1b8ee93cf61330e033391c2b4ba2ad3bd4da8b06d3

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

This paper cites Scenarios for Development, Test and Validation of Automated Vehicles.

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

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Observation 16bd7245-335e-49fa-914d-48bf817b254b · outbound

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

This paper cites Ontology based Scene Creation for the Development of Automated Vehicles.

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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source=pdf_text observed=2026-08-16T10:41:09.652769Z digest=sha256:04175315ad9f5c24d0f9d9668327de011b6ab28cecd0780ad393eddd4c109745

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:b91cdd6a7e5a6a3fa1ba8e53a198f396a009bf295cc48143c2123a110c91d556

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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source=pdf_text observed=2026-08-16T10:41:09.660452Z digest=sha256:bf543c8edba19fc582d5461cedb5d7cf33e0be616c39c22d2e7b8e23d27d3d70

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

This paper cites Marius Zoellner.

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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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=sha256:837192e831fb501b01d92b7040c1f3aedc1ec9f502cb220dc6461dd30a2eff83

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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source=pdf_text observed=2026-08-16T10:41:09.711886Z digest=sha256:87743852ed4a4867422d852b2046f109f0df67b69e659f1a8d4f95000362dd8e

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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source=pdf_text observed=2026-08-16T10:41:09.715783Z digest=sha256:acbf1afc1cd0e390d8f2c8a9ede091f664ea4c2539107b53f01b837fb862a7f1

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

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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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Observation b59d0e74-60ed-4648-9103-33f9476fb790 · outbound

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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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Learning Isometric Embeddings of Road Networks using Multidimensional Scaling Douglas Carroll and Paul E

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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=sha256:47394aaaeeaffc24266623de090fe25578ecc86c59147fb0acad32a013650a36

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T10:41:09.760373Z digest=sha256:7d472eb2525598d9c1a1264463bf40ab90e941e0286916ccd89fb71f4e048964

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T10:41:09.764330Z digest=sha256:016391a3d1e30a3b0b1d7515ed83a014b2adcd64990f0ea7f96f8da85bc3ca88

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T10:41:09.768075Z digest=sha256:26c2691d193ed88152537a6b178b0cafdd7e731bc52a9ee58543341cc36eb943

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T10:41:09.772039Z digest=sha256:c917b99d5316a66c3be02f95ee536eb1928d24ca21cb286dabcfd23ed5dc339c

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:a9021164284b57b15c3735031b4becd8c8cd8c18a67c1be75a954eb6d5e72b9e

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T10:41:09.779923Z digest=sha256:d9ff0833b7186f4cfe2c6dae44605dc345e1012d8a766ffd385bbf3fb8b730d8

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T10:41:09.783840Z digest=sha256:821e7ee4f546a315b30d3616992d9f3b6e2ba83fa75f5e3c26a47338fbd98373

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T10:41:09.787916Z digest=sha256:494b7fb7a433f91bb07c42ab22cafa93d7e4ee2467400200bc6ff120d8118e81

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T10:41:09.792621Z digest=sha256:2982d6a806b0ad5041eafeb81775fbf89207032ec497167e7b9c1f9dccc70425

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T10:41:09.796424Z digest=sha256:13c56204040b6ca435068fa7524beb54c82b428749c4da07bdfc1b0537b22bcd

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T10:41:09.800210Z digest=sha256:263b48026f2c278fb64137543543d900d99a92281351640860423d8d28b304cc

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T10:41:09.803941Z digest=sha256:540ce6a6e0c57495cc74cfdf9c2bc48346a9f36bc28660a5c8136a35fe41d878

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T10:41:09.807847Z digest=sha256:0273ba58366b50c57796971fa5b7075917ba080230d4fbebac8a14ea3dcffcba

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=sha256:22ff0d7f1cc087dd5a503eb58899c19dfae7629e2f113482ca7ad301bd5e44d6

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=sha256:677bd4016b110e92d5cd1cc10d16894164700f50a03435f6a5f6f72c38d1f6b1

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T10:41:09.819683Z digest=sha256:7b11e20b6e57e4f96618c3e4bb51d7299ec23c4954f180c12487867f8a24108d

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T10:41:09.823778Z digest=sha256:84a48fab859e4c49c870e5302c8283d1ef4b29be41a31039c05d7cd3070b605b

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T10:41:09.827921Z digest=sha256:8a257735f2ae46f82721e62aa753c932daa95ba16f45128f3e0aa741d1410fa4

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T10:41:09.832023Z digest=sha256:19bd05d86119389ff6afdc8c26cbe9c8412f441def4da2affe57bb9568f16e38

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T10:41:09.836079Z digest=sha256:6af37ddffbef36a54b9eb7edb56428973424e67ca0bf55668065dbf458daec24

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T10:41:09.839919Z digest=sha256:8df4b6ff966e7ce9cda558925996735acc6536a22e972718153268eb47ff4bf3

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T10:41:09.844269Z digest=sha256:525f6c5829964e800ef98eff8fa07a0aade6a95f615a2a23a1a0f8b8bdc009c1

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T10:41:09.849097Z digest=sha256:68973e873e20b95a04b9f02aa2f0997a843f124445957b726a794788454beb23

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T10:41:09.853021Z digest=sha256:7e727726dd2ffa9d9655e85139ed1262b118bd76cc2687e9945b474ad0dc803b

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T10:41:09.856873Z digest=sha256:b893910fe4b6733d45f3da3d17f684c4d9b03a91c47bb2a85a108114de03ae79

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T10:41:09.860687Z digest=sha256:318b87dd0f6c4ae0cac23f7f090a4a119368f48583d62b5ffa57a0ad71eb2114

Pith citing papers

No inbound Pith citation observations are available.