Information Filtering Networks: Theoretical Foundations, Generative Methodologies, and Real-World Applications | Paper Citation Record

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This paper cites Networks.

Information Filtering Networks: Theoretical Foundations, Generative Methodologies, and Real-World Applications Networks

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This paper cites Networks beyond pairwise interactions: Structure and dynamics.

Information Filtering Networks: Theoretical Foundations, Generative Methodologies, and Real-World Applications Networks beyond pairwise interactions: Structure and dynamics

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This paper cites What are higher- order networks? SIAM Review, 65(3):686–731, 2023.

Information Filtering Networks: Theoretical Foundations, Generative Methodologies, and Real-World Applications What are higher- order networks? SIAM Review, 65(3):686–731, 2023

Reference 3

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Information Filtering Networks: Theoretical Foundations, Generative Methodologies, and Real-World Applications Social networks

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Information Filtering Networks: Theoretical Foundations, Generative Methodologies, and Real-World Applications Biological networks

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Information Filtering Networks: Theoretical Foundations, Generative Methodologies, and Real-World Applications The economics of networks

Reference 6

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Information Filtering Networks: Theoretical Foundations, Generative Methodologies, and Real-World Applications inside” and “outside,

Reference 7

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Information Filtering Networks: Theoretical Foundations, Generative Methodologies, and Real-World Applications Unresolved cited work

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This paper cites A mathematical theory of communication.

Information Filtering Networks: Theoretical Foundations, Generative Methodologies, and Real-World Applications A mathematical theory of communication

Reference 9

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This paper cites Probabilistic Data-Driven Modeling.

Information Filtering Networks: Theoretical Foundations, Generative Methodologies, and Real-World Applications Probabilistic Data-Driven Modeling

Reference 10

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This paper cites Complexity: A very short introduction.

Information Filtering Networks: Theoretical Foundations, Generative Methodologies, and Real-World Applications Complexity: A very short introduction

Reference 11

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This paper cites Modeling complex systems, volume 1.

Information Filtering Networks: Theoretical Foundations, Generative Methodologies, and Real-World Applications Modeling complex systems, volume 1

Reference 12

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Information Filtering Networks: Theoretical Foundations, Generative Methodologies, and Real-World Applications Complex networks on hyperbolic surfaces

Reference 13

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This paper cites Mantegna.

Information Filtering Networks: Theoretical Foundations, Generative Methodologies, and Real-World Applications Mantegna

Reference 14

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This paper cites Interest rates hierarchical structure.

Information Filtering Networks: Theoretical Foundations, Generative Methodologies, and Real-World Applications Interest rates hierarchical structure

Reference 15

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This paper cites Centrality and peripherality in filtered graphs from dynamical financial correlations.

Information Filtering Networks: Theoretical Foundations, Generative Methodologies, and Real-World Applications Centrality and peripherality in filtered graphs from dynamical financial correlations

Reference 16

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This paper cites Spread of risk across financial markets: better to invest in the peripheries.

Information Filtering Networks: Theoretical Foundations, Generative Methodologies, and Real-World Applications Spread of risk across financial markets: better to invest in the peripheries

Reference 17

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This paper cites Local computations with probabilities on graphical structures and their application to expert systems.

Information Filtering Networks: Theoretical Foundations, Generative Methodologies, and Real-World Applications Local computations with probabilities on graphical structures and their application to expert systems

Reference 18

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This paper cites Parsimonious modeling with information filtering networks.

Information Filtering Networks: Theoretical Foundations, Generative Methodologies, and Real-World Applications Parsimonious modeling with information filtering networks

Reference 19

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This paper cites Network filtering for big data: triangulated maximally filtered graph.

Information Filtering Networks: Theoretical Foundations, Generative Methodologies, and Real-World Applications Network filtering for big data: triangulated maximally filtered graph

Reference 20

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Information Filtering Networks: Theoretical Foundations, Generative Methodologies, and Real-World Applications Lauritzen

Reference 21

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Information Filtering Networks: Theoretical Foundations, Generative Methodologies, and Real-World Applications Solvable model of a spin-glass

Reference 22

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Information Filtering Networks: Theoretical Foundations, Generative Methodologies, and Real-World Applications Homological Convolutional Neural Networks

Reference 23

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This paper cites Homological neural networks: A sparse architecture for multivariate complexity.

Information Filtering Networks: Theoretical Foundations, Generative Methodologies, and Real-World Applications Homological neural networks: A sparse architecture for multivariate complexity

Reference 24

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This paper cites HLOB -- Information Persistence and Structure in Limit Order Books.

Information Filtering Networks: Theoretical Foundations, Generative Methodologies, and Real-World Applications HLOB -- Information Persistence and Structure in Limit Order Books

Reference 25

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Information Filtering Networks: Theoretical Foundations, Generative Methodologies, and Real-World Applications Simplicial complexes and complex systems

Reference 26

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This paper cites Massara, Tiziana Di Matteo, and Tomaso Aste.

Information Filtering Networks: Theoretical Foundations, Generative Methodologies, and Real-World Applications Massara, Tiziana Di Matteo, and Tomaso Aste

Reference 27

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This paper cites Higher-Order Networks: An Introduction to Simplicial Complexes.

Information Filtering Networks: Theoretical Foundations, Generative Methodologies, and Real-World Applications Higher-Order Networks: An Introduction to Simplicial Complexes

Reference 29

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Information Filtering Networks: Theoretical Foundations, Generative Methodologies, and Real-World Applications Topological analysis of data

Reference 30

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This paper cites Information geometry and its applications , volume 194.

Information Filtering Networks: Theoretical Foundations, Generative Methodologies, and Real-World Applications Information geometry and its applications , volume 194

Reference 31

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This paper cites Homological scaffolds of brain functional networks.

Information Filtering Networks: Theoretical Foundations, Generative Methodologies, and Real-World Applications Homological scaffolds of brain functional networks

Reference 32

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Information Filtering Networks: Theoretical Foundations, Generative Methodologies, and Real-World Applications Unresolved cited work

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Information Filtering Networks: Theoretical Foundations, Generative Methodologies, and Real-World Applications Causality: Models, Reasoning, and Inference

Reference 34

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Information Filtering Networks: Theoretical Foundations, Generative Methodologies, and Real-World Applications Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference

Reference 35

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Information Filtering Networks: Theoretical Foundations, Generative Methodologies, and Real-World Applications Network granger causality with inherent grouping structure

Reference 36

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This paper cites Transfer entropy as a measure of brain connectivity: A critical analysis with the help of neural mass models.

Information Filtering Networks: Theoretical Foundations, Generative Methodologies, and Real-World Applications Transfer entropy as a measure of brain connectivity: A critical analysis with the help of neural mass models

Reference 37

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Information Filtering Networks: Theoretical Foundations, Generative Methodologies, and Real-World Applications Approximation theory and methods

Reference 38

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Information Filtering Networks: Theoretical Foundations, Generative Methodologies, and Real-World Applications Approximation theory and approximation practice, extended edition

Reference 39

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Information Filtering Networks: Theoretical Foundations, Generative Methodologies, and Real-World Applications One-variable calculus, with an introduction to linear algebra, volume 1

Reference 40

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Information Filtering Networks: Theoretical Foundations, Generative Methodologies, and Real-World Applications Networks for approximation and learning

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This paper cites Why and when can deep-but not shallow-networks avoid the curse of dimensionality: a review.

Information Filtering Networks: Theoretical Foundations, Generative Methodologies, and Real-World Applications Why and when can deep-but not shallow-networks avoid the curse of dimensionality: a review

Reference 42

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Information Filtering Networks: Theoretical Foundations, Generative Methodologies, and Real-World Applications Shortest connection networks and some generalizations

Reference 43

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Information Filtering Networks: Theoretical Foundations, Generative Methodologies, and Real-World Applications Correlation and causation

Reference 44

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Information Filtering Networks: Theoretical Foundations, Generative Methodologies, and Real-World Applications Unresolved cited work

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Information Filtering Networks: Theoretical Foundations, Generative Methodologies, and Real-World Applications Unresolved cited work

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Information Filtering Networks: Theoretical Foundations, Generative Methodologies, and Real-World Applications Estimation of principal components and related models by iterative least squares

Reference 47

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Information Filtering Networks: Theoretical Foundations, Generative Methodologies, and Real-World Applications Mantegna

Reference 48

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Information Filtering Networks: Theoretical Foundations, Generative Methodologies, and Real-World Applications Unresolved cited work

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This paper cites Exploring complex networks via topological embedding on surfaces.

Information Filtering Networks: Theoretical Foundations, Generative Methodologies, and Real-World Applications Exploring complex networks via topological embedding on surfaces

Reference 50

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This paper cites Kenett, Michele Tumminello, Assaf Madi, Gabriele Gur-Gershgoren, Rosario N.

Information Filtering Networks: Theoretical Foundations, Generative Methodologies, and Real-World Applications Kenett, Michele Tumminello, Assaf Madi, Gabriele Gur-Gershgoren, Rosario N

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Information Filtering Networks: Theoretical Foundations, Generative Methodologies, and Real-World Applications Unresolved cited work

Reference 52

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Information Filtering Networks: Theoretical Foundations, Generative Methodologies, and Real-World Applications Towards computing homology from finite approximations

Reference 53

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This paper cites Topological persistence and Information Filtering Networks 45 simplification.

Information Filtering Networks: Theoretical Foundations, Generative Methodologies, and Real-World Applications Topological persistence and Information Filtering Networks 45 simplification

Reference 54

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This paper cites Chung, Bung-Nyun Kim, and Dong Soo Lee.

Information Filtering Networks: Theoretical Foundations, Generative Methodologies, and Real-World Applications Chung, Bung-Nyun Kim, and Dong Soo Lee

Reference 55

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Information Filtering Networks: Theoretical Foundations, Generative Methodologies, and Real-World Applications Hellyer, and Francesco Vaccarino

Reference 56

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Information Filtering Networks: Theoretical Foundations, Generative Methodologies, and Real-World Applications Models, reasoning and inference

Reference 57

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This paper cites Ojist´ em probl´ emu minim´ aln´ ım.Acta Societatis Scientiarum Naturalium Moravicae, 3(3):1–22, 1926.

Information Filtering Networks: Theoretical Foundations, Generative Methodologies, and Real-World Applications Ojist´ em probl´ emu minim´ aln´ ım.Acta Societatis Scientiarum Naturalium Moravicae, 3(3):1–22, 1926

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This paper cites Otakar Boruvka on minimum spanning tree problem translation of both the 1926 papers, comments, history.

Information Filtering Networks: Theoretical Foundations, Generative Methodologies, and Real-World Applications Otakar Boruvka on minimum spanning tree problem translation of both the 1926 papers, comments, history

Reference 59

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This paper cites A minimum spanning tree algorithm with inverse-Ackermann type complexity.

Information Filtering Networks: Theoretical Foundations, Generative Methodologies, and Real-World Applications A minimum spanning tree algorithm with inverse-Ackermann type complexity

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This paper cites Planar graphs.

Information Filtering Networks: Theoretical Foundations, Generative Methodologies, and Real-World Applications Planar graphs

Reference 61

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Observation fc2ef62c-37cc-4c9c-82a0-e76ad9da1dec · outbound

This paper cites Sur le probleme des courbes gauches en topologie.

Information Filtering Networks: Theoretical Foundations, Generative Methodologies, and Real-World Applications Sur le probleme des courbes gauches en topologie

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:27:48.223036Z

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.

Observation 740ac2d8-61b2-4b75-9de1-f2f0506c3f31 · outbound

This paper cites Software tools repository for the financial computing and analytics group UCL, https://github.com/FinancialComputingUCL, 2024.

Information Filtering Networks: Theoretical Foundations, Generative Methodologies, and Real-World Applications Software tools repository for the financial computing and analytics group UCL, https://github.com/FinancialComputingUCL, 2024

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:27:48.206197Z

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.

Observation db77ea86-7be3-4f73-90eb-2ca6888d7f3a · outbound

This paper cites Learning Clique Forests.

Information Filtering Networks: Theoretical Foundations, Generative Methodologies, and Real-World Applications Learning Clique Forests

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-16T04:27:46.755817Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bd3be528-0f64-4ebf-8765-3706ce79198c · outbound

This paper cites Exponential smoothing weighted correlations.

Information Filtering Networks: Theoretical Foundations, Generative Methodologies, and Real-World Applications Exponential smoothing weighted correlations

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:27:48.190838Z

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.

Observation 7819ab16-f819-4936-98aa-3e515e90ed27 · outbound

This paper cites Forecasting market states.

Information Filtering Networks: Theoretical Foundations, Generative Methodologies, and Real-World Applications Forecasting market states

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:27:48.175329Z

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.

Observation 586919af-df5d-40e1-a955-8a8a26287af9 · outbound

This paper cites Parallel filtered graphs for hierarchical clustering.

Information Filtering Networks: Theoretical Foundations, Generative Methodologies, and Real-World Applications Parallel filtered graphs for hierarchical clustering

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:27:48.160295Z

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.

Observation 3959a953-0f7a-4628-9bb9-71417d9c4d36 · outbound

This paper cites Faster Parallel Triangular Maximally Filtered Graphs and Hierarchical Clustering.

Information Filtering Networks: Theoretical Foundations, Generative Methodologies, and Real-World Applications Faster Parallel Triangular Maximally Filtered Graphs and Hierarchical Clustering

Reference 68

Resolution: verified exact; local_arxiv, observed 2026-08-16T04:27:47.160146Z

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.

Observation 170e7f4f-4c43-4887-9614-981002f3deac · outbound

This paper cites Topological feature selection.

Information Filtering Networks: Theoretical Foundations, Generative Methodologies, and Real-World Applications Topological feature selection

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:27:48.144211Z

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.

Observation 2899af67-8de3-44fe-be31-62ee44e9850d · outbound

This paper cites Covariance selection.

Information Filtering Networks: Theoretical Foundations, Generative Methodologies, and Real-World Applications Covariance selection

Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-16T04:27:46.783104Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b42db5d0-9186-46cd-8790-80956549bc28 · outbound

This paper cites Sparse inverse covariance estimation with the graphical lasso.

Information Filtering Networks: Theoretical Foundations, Generative Methodologies, and Real-World Applications Sparse inverse covariance estimation with the graphical lasso

Reference 71

Resolution: unresolved; no resolver link, observed 2026-08-16T04:27:46.787521Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ef2e211c-424b-4429-8e89-0ba611770d30 · outbound

This paper cites Topological regularization with information filtering networks.

Information Filtering Networks: Theoretical Foundations, Generative Methodologies, and Real-World Applications Topological regularization with information filtering networks

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:27:48.107115Z

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.

Observation 0fe62692-af71-4700-923a-093a15b05c4f · outbound

This paper cites Symmetric multivariate and related distributions.

Information Filtering Networks: Theoretical Foundations, Generative Methodologies, and Real-World Applications Symmetric multivariate and related distributions

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:27:48.090719Z

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.

Observation 36d3c02a-78c9-499b-88d7-a400f1eb4325 · outbound

This paper cites On the generalized distance in statistics.

Information Filtering Networks: Theoretical Foundations, Generative Methodologies, and Real-World Applications On the generalized distance in statistics

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:27:48.074031Z

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.

Observation 17ec8c77-98d4-43ff-8fec-12827b44cc4d · outbound

This paper cites Network filtering of spatial-temporal gnn for multivariate time-series prediction.

Information Filtering Networks: Theoretical Foundations, Generative Methodologies, and Real-World Applications Network filtering of spatial-temporal gnn for multivariate time-series prediction

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:27:48.057880Z

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.

Observation b15c0425-7c46-4a00-8336-20a6b35ee4dd · outbound

This paper cites Relation between financial market structure and the real economy: comparison between clustering methods.

Information Filtering Networks: Theoretical Foundations, Generative Methodologies, and Real-World Applications Relation between financial market structure and the real economy: comparison between clustering methods

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:27:48.042015Z

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.

Observation 42e4094e-3124-427a-9169-2e268763342f · outbound

This paper cites A network perspective of the stock market.

Information Filtering Networks: Theoretical Foundations, Generative Methodologies, and Real-World Applications A network perspective of the stock market

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:27:48.025728Z

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.

Observation 72146fe2-0f01-44b7-8cf9-e9e62c185412 · outbound

This paper cites The physics of financial networks.

Information Filtering Networks: Theoretical Foundations, Generative Methodologies, and Real-World Applications The physics of financial networks

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:27:48.009078Z

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.

Observation 9bf13e03-586d-4df5-a72c-32cb448d4b72 · outbound

This paper cites A survey of the application of graph-based approaches in stock market analysis and prediction.

Information Filtering Networks: Theoretical Foundations, Generative Methodologies, and Real-World Applications A survey of the application of graph-based approaches in stock market analysis and prediction

Reference 79

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:27:47.992258Z

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.

Observation f016f125-bdc9-4e94-8371-8da2c5cee7a8 · outbound

This paper cites The use of dynamical networks to detect the hierarchical organization of financial market sectors.

Information Filtering Networks: Theoretical Foundations, Generative Methodologies, and Real-World Applications The use of dynamical networks to detect the hierarchical organization of financial market sectors

Reference 80

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:27:47.976922Z

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.

Observation 864d1a38-28b3-4baf-bf95-ef81821a18dd · outbound

This paper cites The multiplex dependency structure of financial markets.

Information Filtering Networks: Theoretical Foundations, Generative Methodologies, and Real-World Applications The multiplex dependency structure of financial markets

Reference 81

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:27:47.961270Z

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.

Observation cbff6c03-4aff-401b-bdff-1049b4f01c94 · outbound

This paper cites Interplay between past market correlation structure changes and future volatility outbursts.

Information Filtering Networks: Theoretical Foundations, Generative Methodologies, and Real-World Applications Interplay between past market correlation structure changes and future volatility outbursts

Reference 82

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:27:47.945724Z

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.

Observation 71f7ca38-f560-48cd-b8b6-f7034ebc738e · outbound

This paper cites Anatomy of a stablecoin’s failure: The terra-luna case.

Information Filtering Networks: Theoretical Foundations, Generative Methodologies, and Real-World Applications Anatomy of a stablecoin’s failure: The terra-luna case

Reference 83

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:27:47.930473Z

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.

Observation 10dd0466-87c9-4ec7-b438-e47d2576f910 · outbound

This paper cites Risk diversification: a study of persistence with a filtered correlation-network approach.

Information Filtering Networks: Theoretical Foundations, Generative Methodologies, and Real-World Applications Risk diversification: a study of persistence with a filtered correlation-network approach

Reference 84

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:27:47.915372Z

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.

Observation 157e9c72-2c4a-4a46-8410-00a75bf40540 · outbound

This paper cites Correlation structure and dynamics in volatile markets.

Information Filtering Networks: Theoretical Foundations, Generative Methodologies, and Real-World Applications Correlation structure and dynamics in volatile markets

Reference 85

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:27:47.899720Z

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.

Observation efd35628-9136-4c36-9366-b4b8672aa465 · outbound

This paper cites Market structure dynamics during COVID-19 outbreak.

Information Filtering Networks: Theoretical Foundations, Generative Methodologies, and Real-World Applications Market structure dynamics during COVID-19 outbreak

Reference 86

Resolution: verified exact; local_arxiv, observed 2026-08-16T04:27:47.135563Z

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.

Observation 94c2014f-f3ad-461a-9304-dd25b7cb4cef · outbound

This paper cites Stress testing and systemic risk measures using elliptical conditional multivariate probabilities.

Information Filtering Networks: Theoretical Foundations, Generative Methodologies, and Real-World Applications Stress testing and systemic risk measures using elliptical conditional multivariate probabilities

Reference 87

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:27:47.884409Z

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.

Observation aa7bfe53-eceb-4dc8-89f8-564d657fa1ba · outbound

This paper cites Quantifying impact and response in markets using information filtering networks.

Information Filtering Networks: Theoretical Foundations, Generative Methodologies, and Real-World Applications Quantifying impact and response in markets using information filtering networks

Reference 88

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:27:47.866536Z

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.

Observation d4d24118-6dcd-4508-91c1-04d3b8d51e2d · outbound

This paper cites Sector neutral portfolios: Long memory motifs persistence in market structure dynamics.

Information Filtering Networks: Theoretical Foundations, Generative Methodologies, and Real-World Applications Sector neutral portfolios: Long memory motifs persistence in market structure dynamics

Reference 89

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:27:47.849704Z

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.

Observation c815da07-0943-43e5-8014-bb4db54182a7 · outbound

This paper cites Portfolio optimization with sparse multivariate modeling.

Information Filtering Networks: Theoretical Foundations, Generative Methodologies, and Real-World Applications Portfolio optimization with sparse multivariate modeling

Reference 90

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:27:47.833142Z

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.

Observation f8a985d4-3e88-49c1-a0bd-276db27eb7c7 · outbound

This paper cites Dynamic portfolio optimization with inverse covariance clustering.

Information Filtering Networks: Theoretical Foundations, Generative Methodologies, and Real-World Applications Dynamic portfolio optimization with inverse covariance clustering

Reference 91

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:27:47.816642Z

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.

Observation 62ec0043-27d5-4fbe-a815-9f0859d1eb2b · outbound

This paper cites Topological portfolio selection and optimization.

Information Filtering Networks: Theoretical Foundations, Generative Methodologies, and Real-World Applications Topological portfolio selection and optimization

Reference 92

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:27:47.800621Z

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.

Observation 4520c5e4-f0e0-4e0f-afaa-edbead705e74 · outbound

This paper cites Cryptocurrency market structure: connecting emotions and economics.

Information Filtering Networks: Theoretical Foundations, Generative Methodologies, and Real-World Applications Cryptocurrency market structure: connecting emotions and economics

Reference 93

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:27:47.785315Z

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.

Observation d6278c16-4664-4cf2-9206-fbceae7133a7 · outbound

This paper cites Dependency structures in cryptocurrency market from high to low frequency.

Information Filtering Networks: Theoretical Foundations, Generative Methodologies, and Real-World Applications Dependency structures in cryptocurrency market from high to low frequency

Reference 94

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:27:47.769765Z

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.

Observation bdb0d52e-1c2c-473a-939d-d5a7ce97a650 · outbound

This paper cites an unresolved cited work.

Information Filtering Networks: Theoretical Foundations, Generative Methodologies, and Real-World Applications Unresolved cited work

Reference 95

Resolution: unresolved; raw_fallback, observed 2026-08-16T04:27:47.754275Z

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.

Observation 2d9f5807-67b0-49ce-b6a8-ed598c3ec871 · outbound

This paper cites Predicting future stock market structure by combining social and financial network information.

Information Filtering Networks: Theoretical Foundations, Generative Methodologies, and Real-World Applications Predicting future stock market structure by combining social and financial network information

Reference 96

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:27:47.738335Z

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.

Observation a694dd76-3983-4227-85fe-361cae667739 · outbound

This paper cites Simplicial persistence of financial markets: Filtering, generative processes and structural risk.

Information Filtering Networks: Theoretical Foundations, Generative Methodologies, and Real-World Applications Simplicial persistence of financial markets: Filtering, generative processes and structural risk

Reference 97

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:27:47.722122Z

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.

Observation ff146e9e-a35a-4b34-b0a9-fe1f1203b218 · outbound

This paper cites Markowitz.

Information Filtering Networks: Theoretical Foundations, Generative Methodologies, and Real-World Applications Markowitz

Reference 98

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:27:47.705161Z

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.

Observation 0382e154-5e62-4b4c-b294-7a02723a2f1b · outbound

This paper cites Portfolio selection.

Information Filtering Networks: Theoretical Foundations, Generative Methodologies, and Real-World Applications Portfolio selection

Reference 99

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:27:47.689756Z

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.

Observation 3bf00c27-4505-4941-b76e-8fb4ff22086c · outbound

This paper cites Distinct types of diffuse large b-cell lymphoma identified by gene expression profiling.

Information Filtering Networks: Theoretical Foundations, Generative Methodologies, and Real-World Applications Distinct types of diffuse large b-cell lymphoma identified by gene expression profiling

Reference 100

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:27:47.673449Z

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.

Observation b24c525d-9028-46e7-9138-80f5bbba58bc · outbound

This paper cites Nested hierarchies in planar graphs.

Information Filtering Networks: Theoretical Foundations, Generative Methodologies, and Real-World Applications Nested hierarchies in planar graphs

Reference 101

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:27:47.657154Z

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.

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Reference resolution

Outbound references

Pith citing papers