Into the Void: Mapping the Unseen Gaps in High Dimensional Data | Paper Citation Record

Observation 5ea03053-7b14-45fc-9fe5-a3a07712808e · outbound

This paper cites Im- age2StyleGAN: How to Embed Images Into the StyleGAN Latent Space?.

Into the Void: Mapping the Unseen Gaps in High Dimensional Data Im- age2StyleGAN: How to Embed Images Into the StyleGAN Latent Space?

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:29:41.968802Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 9a493e84-b9fc-425b-9fa5-9e522a75e2ed · outbound

This paper cites CherryPick: Adaptively unearthing the best cloud configurations for big data analytics.

Into the Void: Mapping the Unseen Gaps in High Dimensional Data CherryPick: Adaptively unearthing the best cloud configurations for big data analytics

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:29:41.956680Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 3788d76d-1403-4799-9e5b-4b20ee68a781 · outbound

This paper cites DeepHull: Fast Convex Hull Approximation in High Dimen- sions.

Into the Void: Mapping the Unseen Gaps in High Dimensional Data DeepHull: Fast Convex Hull Approximation in High Dimen- sions

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:29:41.944289Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 1c7f0f6e-7e07-4af5-8daa-5ec5681e84af · outbound

This paper cites Determin- ing What Individual SUS Scores Mean: Adding an Adjective Rating Scale.

Into the Void: Mapping the Unseen Gaps in High Dimensional Data Determin- ing What Individual SUS Scores Mean: Adding an Adjective Rating Scale

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:29:41.930290Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 2cb551cb-4a53-44b2-92f9-c83c0f45bfa3 · outbound

This paper cites Dynamic Programming.

Into the Void: Mapping the Unseen Gaps in High Dimensional Data Dynamic Programming

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:29:41.917203Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 5fa79614-3a9f-4941-87da-7d402989444a · outbound

This paper cites Implicit Multidimensional Projection of Local Subspaces.

Into the Void: Mapping the Unseen Gaps in High Dimensional Data Implicit Multidimensional Projection of Local Subspaces

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:29:41.905330Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 4fd43c1b-ca8f-4189-8b40-fc3c1cd2ea01 · outbound

This paper cites Design and Implementation of a Practical Parallel Delaunay Algorithm.

Into the Void: Mapping the Unseen Gaps in High Dimensional Data Design and Implementation of a Practical Parallel Delaunay Algorithm

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:29:41.892211Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 4b5f68e7-d89a-424b-a0e1-447db63f7fd1 · outbound

This paper cites SUS: A ‘Quick and Dirty’ Usability Scale.

Into the Void: Mapping the Unseen Gaps in High Dimensional Data SUS: A ‘Quick and Dirty’ Usability Scale

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:29:41.880372Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 3d93f2b3-2f99-4b7f-89dd-7df063c613e7 · outbound

This paper cites Data-driven aerospace engineering: reframing the industry with machine learning.

Into the Void: Mapping the Unseen Gaps in High Dimensional Data Data-driven aerospace engineering: reframing the industry with machine learning

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:29:41.866869Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 73a64d78-604a-412a-b597-f16b2c1ba6ee · outbound

This paper cites On Using the Hypervolume Indicator to Compare Pareto Fronts: Applications to Multi-criteria Optimal Experimental Design.

Into the Void: Mapping the Unseen Gaps in High Dimensional Data On Using the Hypervolume Indicator to Compare Pareto Fronts: Applications to Multi-criteria Optimal Experimental Design

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:29:41.851856Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 4eff5573-c068-4665-a60a-973faa6068a5 · outbound

This paper cites SMOTE: Synthetic Minority Over- sampling Technique.

Into the Void: Mapping the Unseen Gaps in High Dimensional Data SMOTE: Synthetic Minority Over- sampling Technique

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:29:41.837905Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation ba70780b-564b-4c81-8b03-f698257bc2f8 · outbound

This paper cites Neural Optimization Machine: A Neural Network Approach for Optimization.

Into the Void: Mapping the Unseen Gaps in High Dimensional Data Neural Optimization Machine: A Neural Network Approach for Optimization

Reference 12

Resolution: verified exact; local_arxiv, observed 2026-08-10T14:29:41.249360Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 2b714d41-7702-41b4-9dd6-f57f56a11e86 · outbound

This paper cites Distributional- Utility Actor-Critic for Network Slice Performance Guaran- tee.

Into the Void: Mapping the Unseen Gaps in High Dimensional Data Distributional- Utility Actor-Critic for Network Slice Performance Guaran- tee

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:29:41.824664Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 63487122-156d-4831-bcb8-01da0843f37a · outbound

This paper cites Real-time Network Intrusion Detection via Decision Transformers.

Into the Void: Mapping the Unseen Gaps in High Dimensional Data Real-time Network Intrusion Detection via Decision Transformers

Reference 14

Resolution: verified exact; local_arxiv, observed 2026-08-10T14:29:41.232525Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 81bb2e26-fbc6-4c3f-9538-9fdf32488723 · outbound

This paper cites The Data Context Map: Fusing Data and Attributes into a Unified Display.

Into the Void: Mapping the Unseen Gaps in High Dimensional Data The Data Context Map: Fusing Data and Attributes into a Unified Display

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:29:41.810503Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation a84236c4-0835-40e1-8677-09c3cfe1b40f · outbound

This paper cites Artificial intelligence and machine learning applications in smart production: Progress, trends, and directions.

Into the Void: Mapping the Unseen Gaps in High Dimensional Data Artificial intelligence and machine learning applications in smart production: Progress, trends, and directions

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:29:41.798844Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 751d0815-d673-4f8a-960d-9bf81b3569c1 · outbound

This paper cites Routledge, 2013.

Into the Void: Mapping the Unseen Gaps in High Dimensional Data Routledge, 2013

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:29:41.787102Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 8f85bd11-0250-432c-9be2-7e6493bf1e7b · outbound

This paper cites Springer Science & Business Media, 2000.

Into the Void: Mapping the Unseen Gaps in High Dimensional Data Springer Science & Business Media, 2000

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:29:41.774939Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 51be0ac5-bec5-4565-8d71-2a8538c02af4 · outbound

This paper cites Statistical Arbitrage Trading on the Intraday Market Using the Asynchronous Advantage Actor– Critic Method.

Into the Void: Mapping the Unseen Gaps in High Dimensional Data Statistical Arbitrage Trading on the Intraday Market Using the Asynchronous Advantage Actor– Critic Method

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:29:41.762662Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 3f6defff-5d21-4765-8aa2-64b7a778cc4e · outbound

This paper cites A Taxonomy of Clutter Reduction for Information Visualisation.

Into the Void: Mapping the Unseen Gaps in High Dimensional Data A Taxonomy of Clutter Reduction for Information Visualisation

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:29:41.750752Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 4cd424fb-f54d-4beb-a86d-56bdbcb22ffb · outbound

This paper cites Accelerating Multi-Tier Storage Cache Simulations Using Knee Detection.

Into the Void: Mapping the Unseen Gaps in High Dimensional Data Accelerating Multi-Tier Storage Cache Simulations Using Knee Detection

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:29:41.739347Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 580ef610-dd73-40d7-b0df-7f637f93b4c2 · outbound

This paper cites Desperately Seeking . . . Optimal Multi- Tier Cache Configurations.

Into the Void: Mapping the Unseen Gaps in High Dimensional Data Desperately Seeking . . . Optimal Multi- Tier Cache Configurations

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:29:41.727202Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 103c24bc-ec6e-4d87-a854-6331376d4292 · outbound

This paper cites Sclow Plots: Visualizing Empty Space.

Into the Void: Mapping the Unseen Gaps in High Dimensional Data Sclow Plots: Visualizing Empty Space

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:29:41.715424Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 6941bd11-83c7-4dda-8683-1fea32d7025c · outbound

This paper cites Approximate Convex Hulls: sketching the convex hull using curvature.

Into the Void: Mapping the Unseen Gaps in High Dimensional Data Approximate Convex Hulls: sketching the convex hull using curvature

Reference 24

Resolution: verified exact; local_arxiv, observed 2026-08-10T14:29:41.215416Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 8e733fa0-a063-4e63-8d1d-cc7df1cd90e3 · outbound

This paper cites Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a JOURNAL OF LATEX CLASS FILES, VOL. 14, NO. 8, AUGUST 2021 13 Stochastic Actor.

Into the Void: Mapping the Unseen Gaps in High Dimensional Data Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a JOURNAL OF LATEX CLASS FILES, VOL. 14, NO. 8, AUGUST 2021 13 Stochastic Actor

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:29:41.702105Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 2e3736ce-39cc-46e7-8b43-28b3487cbd3c · outbound

This paper cites A Replacement for V oronoi Diagrams of Near Linear Size.

Into the Void: Mapping the Unseen Gaps in High Dimensional Data A Replacement for V oronoi Diagrams of Near Linear Size

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:29:41.690912Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation a029441a-348f-4b59-9c5b-064f48e358d0 · outbound

This paper cites Analysis of a complex of statistical vari- ables into principal components.

Into the Void: Mapping the Unseen Gaps in High Dimensional Data Analysis of a complex of statistical vari- ables into principal components

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:29:41.680119Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 2faa626e-1608-458a-8fbb-71a226a6bf42 · outbound

This paper cites Auto- matic Algorithm Configuration based on Local Search.

Into the Void: Mapping the Unseen Gaps in High Dimensional Data Auto- matic Algorithm Configuration based on Local Search

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:29:41.668942Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 14f5732d-c1e1-4b74-9d1a-9451438d084f · outbound

This paper cites The plane with parallel coordinates.

Into the Void: Mapping the Unseen Gaps in High Dimensional Data The plane with parallel coordinates

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:29:41.657370Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation ad6accb2-2d04-4185-9566-2251423f91a5 · outbound

This paper cites A Population-Based Hybrid Approach for Hyperparameter Optimization of Neural Networks.

Into the Void: Mapping the Unseen Gaps in High Dimensional Data A Population-Based Hybrid Approach for Hyperparameter Optimization of Neural Networks

Reference 30

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 421504a5-f303-4d41-b6ac-2878df0d3296 · outbound

This paper cites A Style- Based Generator Architecture for Generative Adversarial Networks.

Into the Void: Mapping the Unseen Gaps in High Dimensional Data A Style- Based Generator Architecture for Generative Adversarial Networks

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:29:41.646574Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 30da0012-d50e-456c-8417-1e1a56f1f095 · outbound

This paper cites Causal Reasoning and Large Language Models: Opening a New Frontier for Causality.

Into the Void: Mapping the Unseen Gaps in High Dimensional Data Causal Reasoning and Large Language Models: Opening a New Frontier for Causality

Reference 32

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Source-reported events for the cited work

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Observation 81b4b3df-024b-4243-89a2-c134a5e5dd7d · outbound

This paper cites Actor-Critic Algorithms.

Into the Void: Mapping the Unseen Gaps in High Dimensional Data Actor-Critic Algorithms

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:29:41.634490Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation ade14fc0-5d84-4e12-add1-d1c00d69b765 · outbound

This paper cites Sub- space Clustering.

Into the Void: Mapping the Unseen Gaps in High Dimensional Data Sub- space Clustering

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:29:41.620777Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 3652dc31-59ed-4a98-a098-bbf964587a92 · outbound

This paper cites On the Determination of Molecular Fields.–—I. From the V ariation of the Viscosity of a Gas with Temperature.

Into the Void: Mapping the Unseen Gaps in High Dimensional Data On the Determination of Molecular Fields.–—I. From the V ariation of the Viscosity of a Gas with Temperature

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:29:41.609128Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation c356174d-9af9-49a4-a48b-0efb8abf27b8 · outbound

This paper cites ScatterUQ: Interactive Uncertainty Visual- izations for Multiclass Deep Learning Problems.

Into the Void: Mapping the Unseen Gaps in High Dimensional Data ScatterUQ: Interactive Uncertainty Visual- izations for Multiclass Deep Learning Problems

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:29:41.596891Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 31050cb5-c153-4b1e-be0e-9345ffa743ca · outbound

This paper cites Transforming the Latent Space of StyleGAN for Real Face Editing.

Into the Void: Mapping the Unseen Gaps in High Dimensional Data Transforming the Latent Space of StyleGAN for Real Face Editing

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:29:41.584578Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 845ae521-19b2-4d12-8643-8096e833ef7a · outbound

This paper cites Towards an Information Theoretic Framework of Context-Based Offline Meta-Reinforcement Learning.

Into the Void: Mapping the Unseen Gaps in High Dimensional Data Towards an Information Theoretic Framework of Context-Based Offline Meta-Reinforcement Learning

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-10T14:29:40.927107Z

Source-reported events for the cited work

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Observation 47a9f8bb-cce8-408e-a56b-cd9b0954b5fa · outbound

This paper cites Many- to-Many Relational Parallel Coordinates Displays.

Into the Void: Mapping the Unseen Gaps in High Dimensional Data Many- to-Many Relational Parallel Coordinates Displays

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:29:41.573766Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 2cd3d97c-7b93-4308-b716-af7382af2a39 · outbound

This paper cites Iterated Local Search.

Into the Void: Mapping the Unseen Gaps in High Dimensional Data Iterated Local Search

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:29:41.562452Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation ae038ae8-f311-4820-bf40-676ad768c386 · outbound

This paper cites Interactive Subspace Cluster Analysis Guided by Semantic Attribute Associa- tions.

Into the Void: Mapping the Unseen Gaps in High Dimensional Data Interactive Subspace Cluster Analysis Guided by Semantic Attribute Associa- tions

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:29:41.550113Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 65384921-2b6e-429c-bcd5-a148269e897a · outbound

This paper cites Illustrative Parallel Coordinates.

Into the Void: Mapping the Unseen Gaps in High Dimensional Data Illustrative Parallel Coordinates

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:29:41.538046Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 638caa50-23e3-4223-a057-7ae0a3aef189 · outbound

This paper cites UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction.

Into the Void: Mapping the Unseen Gaps in High Dimensional Data UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-10T14:29:40.947507Z

Source-reported events for the cited work

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Observation d18998db-2cf8-4912-8f80-7648f55539e3 · outbound

This paper cites Review of the Development of Multidimensional Scaling Methods.

Into the Void: Mapping the Unseen Gaps in High Dimensional Data Review of the Development of Multidimensional Scaling Methods

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:29:41.526191Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation fd77513a-74c4-413e-9779-e24b62803df4 · outbound

This paper cites Human-in-the-loop machine learning: a state of the art.

Into the Void: Mapping the Unseen Gaps in High Dimensional Data Human-in-the-loop machine learning: a state of the art

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:29:41.514057Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 6023c213-676f-400e-8c5c-06b6cb5766fd · outbound

This paper cites A Nested Model for Visualization Design and V alidation.

Into the Void: Mapping the Unseen Gaps in High Dimensional Data A Nested Model for Visualization Design and V alidation

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:29:41.502978Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 6ee488dc-24c9-48ce-abd1-2e18ba2a48b6 · outbound

This paper cites Delaunay Triangulation of Large-Scale Datasets Using Two-Level Parallelism.

Into the Void: Mapping the Unseen Gaps in High Dimensional Data Delaunay Triangulation of Large-Scale Datasets Using Two-Level Parallelism

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:29:41.489905Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 5777d4ca-4f7a-4a60-8ce8-590792a540c0 · outbound

This paper cites An Edge-Bundling Layout for Interactive Parallel Coordinates.

Into the Void: Mapping the Unseen Gaps in High Dimensional Data An Edge-Bundling Layout for Interactive Parallel Coordinates

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:29:41.478188Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation f4250e18-f38a-4e68-8692-4a0078002865 · outbound

This paper cites Provably Efficient Online Hyperparameter Optimization with Population-Based Bandits.

Into the Void: Mapping the Unseen Gaps in High Dimensional Data Provably Efficient Online Hyperparameter Optimization with Population-Based Bandits

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:29:41.464037Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation e15ad1e4-b1f0-4968-842c-312fff43d42b · outbound

This paper cites Hubs in Space: Popular Nearest Neighbors in High-Dimensional Data.

Into the Void: Mapping the Unseen Gaps in High Dimensional Data Hubs in Space: Popular Nearest Neighbors in High-Dimensional Data

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:29:41.451626Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 7aa6cd64-6930-4c99-9dc6-937cae91a5d0 · outbound

This paper cites Nonlinear Dimensionality Reduction by Locally Linear Embedding.

Into the Void: Mapping the Unseen Gaps in High Dimensional Data Nonlinear Dimensionality Reduction by Locally Linear Embedding

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:29:41.439413Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 25896c2a-4cc8-4736-a3f4-6b33a053dec7 · outbound

This paper cites https://www.kaggle.com/ datasets/midouazerty/redwine.

Into the Void: Mapping the Unseen Gaps in High Dimensional Data https://www.kaggle.com/ datasets/midouazerty/redwine

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:29:41.425714Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 7a865447-f86a-468f-9684-9654d446fc5a · outbound

This paper cites Measuring Usability LLC, 2011.

Into the Void: Mapping the Unseen Gaps in High Dimensional Data Measuring Usability LLC, 2011

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:29:41.411981Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation e25adead-d895-4aca-b7b7-33132df4f496 · outbound

This paper cites The upper bound theorem for polytopes: an easy proof of its asymptotic version.

Into the Void: Mapping the Unseen Gaps in High Dimensional Data The upper bound theorem for polytopes: an easy proof of its asymptotic version

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:29:41.399151Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 2d6b40db-b1d1-4ee0-91c8-25009c5c8e56 · outbound

This paper cites Real-Time Visualization of Protein Empty Space with V arying Parameters.

Into the Void: Mapping the Unseen Gaps in High Dimensional Data Real-Time Visualization of Protein Empty Space with V arying Parameters

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:29:41.386319Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 40249788-fa7c-4ded-a7ff-af6858c9673e · outbound

This paper cites ClustNails: Visual analysis of subspace clusters.

Into the Void: Mapping the Unseen Gaps in High Dimensional Data ClustNails: Visual analysis of subspace clusters

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:29:41.374539Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 4f6cc937-410f-49c3-9248-8cde142c07ba · outbound

This paper cites MuJoCo: A physics engine for model-based control.

Into the Void: Mapping the Unseen Gaps in High Dimensional Data MuJoCo: A physics engine for model-based control

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:29:41.362259Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 41d3aa84-a759-4560-a2f0-6575842879ab · outbound

This paper cites Visualizing Data Using t-SNE.

Into the Void: Mapping the Unseen Gaps in High Dimensional Data Visualizing Data Using t-SNE

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:29:41.350145Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 6a0c2b84-5468-420d-8f76-0d76ac6c565f · outbound

This paper cites Artificial neural networks used in optimization problems.

Into the Void: Mapping the Unseen Gaps in High Dimensional Data Artificial neural networks used in optimization problems

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:29:41.337987Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation a4c3599a-265c-4748-9314-95136df28ab4 · outbound

This paper cites Efficient MRC Construction with SHARDS.

Into the Void: Mapping the Unseen Gaps in High Dimensional Data Efficient MRC Construction with SHARDS

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:29:41.325130Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 6e2c0e7b-16ed-44fc-9770-3128b73d910c · outbound

This paper cites The Subspace V oyager: Exploring High-Dimensional Data along a Continuum of Salient 3D Subspaces.

Into the Void: Mapping the Unseen Gaps in High Dimensional Data The Subspace V oyager: Exploring High-Dimensional Data along a Continuum of Salient 3D Subspaces

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:29:41.313847Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation f04acb6c-e2d7-4fe1-96be-8da510352eb5 · outbound

This paper cites High- dimensional data analysis with subspace comparison using matrix visualization.

Into the Void: Mapping the Unseen Gaps in High Dimensional Data High- dimensional data analysis with subspace comparison using matrix visualization

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:29:41.302412Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 628079a4-1767-4c28-98b4-c7fdc1a2e9e2 · outbound

This paper cites Learning for personalized medicine: a comprehensive review from a deep learning perspective.

Into the Void: Mapping the Unseen Gaps in High Dimensional Data Learning for personalized medicine: a comprehensive review from a deep learning perspective

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:29:41.290775Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation eb5bd014-6232-4e28-beb1-f79ae5d06d83 · outbound

This paper cites Graphi- cal Enhancements for Effective Exemplar Identification in Contextual Data Visualizations.

Into the Void: Mapping the Unseen Gaps in High Dimensional Data Graphi- cal Enhancements for Effective Exemplar Identification in Contextual Data Visualizations

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:29:41.278031Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 3b0ac7c4-00d8-4132-bf18-7ce7dc01be2a · outbound

This paper cites An Explainable AI Approach to Large Language Model Assisted Causal Model Auditing and Development.

Into the Void: Mapping the Unseen Gaps in High Dimensional Data An Explainable AI Approach to Large Language Model Assisted Causal Model Auditing and Development

Reference 65

Resolution: verified exact; local_arxiv, observed 2026-08-10T14:29:41.086957Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 6d3a5563-ed8f-4a8e-995f-94f11b27535e · outbound

This paper cites A Survey on Unsupervised Outlier Detection in High- Dimensional Numerical Data.

Into the Void: Mapping the Unseen Gaps in High Dimensional Data A Survey on Unsupervised Outlier Detection in High- Dimensional Numerical Data

Reference 66

Resolution: malformed identifier; raw_fallback, observed 2026-08-10T14:29:41.264137Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Coverage vector

Reference resolution

Outbound references

Pith citing papers