Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-01T22:11:01.270974Z
Paper Citation Record · LEDGER
As of 22 August 2026, this Paper Citation Record lists 40 of 40 outbound references and 0 inbound Pith citation observations for arXiv:2607.15855.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-01T22:11:01.270974Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
40 of 40 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation aeed7bc4-e83f-4b94-99dd-73eb8e927c2c · outbound
A model for generating temporal networks with dynamic community structure guided by mutual information Community detection and stochastic block models: recent developments.Journal of Machine Learning Research, 18(177):1–86, 2018
Reference 1
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e2b219c6-90d5-44b0-9cd0-d7063a3248ea · outbound
A model for generating temporal networks with dynamic community structure guided by mutual information Community detection in general stochastic block models: Fundamental limits and efficient algorithms for recovery
Reference 2
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e8808e8f-13a8-47ad-a353-dcb1c70634a1 · outbound
A model for generating temporal networks with dynamic community structure guided by mutual information Mixed membership stochastic block- models.Advances in neural information processing systems, 21, 2008
Reference 3
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 17218656-021d-4f3c-9118-5013fa4ceb27 · outbound
A model for generating temporal networks with dynamic community structure guided by mutual information Generating temporal contact graphs using random walkers.IEEE Transactions on Network Science and Engineering, 2025
Reference 4
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Unavailable: canonical work link unavailable.
Observation 9dde98ab-c86c-4f89-b4b8-ff39fb9b58b6 · outbound
A model for generating temporal networks with dynamic community structure guided by mutual information Constrained information flows in temporal networks reveal intermittent communities.Physical Review E, 97(6):062312, 2018
Reference 5
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation bf54eae6-3748-42d4-998e-16986f0ff433 · outbound
A model for generating temporal networks with dynamic community structure guided by mutual information A framework for the construction of generative models for mesoscale structure in multilayer networks.Physical Review Research, 2(2):023100, 2020
Reference 6
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 98636088-928d-42cb-b793-e128cec93a3b · outbound
A model for generating temporal networks with dynamic community structure guided by mutual information Community detection in temporal multilayer networks, with an application to correlation networks
Reference 7
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9d711c52-4e09-4428-b9e3-ddb16aa2becc · outbound
A model for generating temporal networks with dynamic community structure guided by mutual information Clan: An efficient distributed temporal community detection protocol for manets
Reference 8
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9c28d6f0-e52a-4b25-bff7-799fba59cfb8 · outbound
A model for generating temporal networks with dynamic community structure guided by mutual information Community detection in sparse time- evolving graphs with a dynamical bethe-hessian.Advances in Neural Information Processing Sys- tems, 33:7486–7497, 2020
Reference 9
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Unavailable: canonical work link unavailable.
Observation 99f78ba2-65df-44d0-848e-413efee869e7 · outbound
A model for generating temporal networks with dynamic community structure guided by mutual information Tigger: Scalable generative modelling for temporal interaction graphs
Reference 10
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 027d6199-f2bf-43c8-ac0c-480eafd9b03b · outbound
A model for generating temporal networks with dynamic community structure guided by mutual information Anomaly detection in blockchain networks: A comprehensive survey.IEEE Communications Surveys & Tutorials, 25(1):289–318, 2022
Reference 11
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Unavailable: canonical work link unavailable.
Observation b5a6b1a4-25a4-4d97-9c0d-c823303e1ec1 · outbound
A model for generating temporal networks with dynamic community structure guided by mutual information Stochastic blockmodels: First steps.Social networks, 5(2):109–137, 1983
Reference 12
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b03260ee-190d-46f2-abb6-324f9164dc47 · outbound
A model for generating temporal networks with dynamic community structure guided by mutual information Temporal graph benchmark for machine learning on temporal graphs.Advances in Neural Information Processing Systems, 36:2056–2073, 2023
Reference 13
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 20472bf9-33dc-48ce-9f98-57c5e36204f8 · outbound
A model for generating temporal networks with dynamic community structure guided by mutual information A survey of community detection methods in multilayer networks.Data Mining and Knowledge Discovery, 35:1–45, 2021
Reference 14
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0bfe1109-9f8e-4dd9-b3e3-8947fd04a1b1 · outbound
A model for generating temporal networks with dynamic community structure guided by mutual information Dynamic infinite re- lational model for time-varying relational data analysis.Advances in Neural Information Processing Systems, 23, 2010
Reference 15
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 29169419-b498-4c00-b2e5-ac8473556ced · outbound
A model for generating temporal networks with dynamic community structure guided by mutual information Temporal community detec- tion based on symmetric nonnegative matrix factorization.International Journal of Modern Physics B, 31(13):1750102, 2017
Reference 16
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Unavailable: canonical work link unavailable.
Observation 5ceefb73-75eb-46d2-b952-7dd47c6712f4 · outbound
A model for generating temporal networks with dynamic community structure guided by mutual information Illegal community detection in bitcoin transaction networks.Entropy, 25(7):1069, 2023
Reference 17
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 566560ad-b1a0-4773-9dae-71b6c75a2eab · outbound
A model for generating temporal networks with dynamic community structure guided by mutual information Stochastic blockmodels and community structure in networks
Reference 18
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Unavailable: canonical work link unavailable.
Observation 88ee34ff-ca46-409f-bd21-e0963a8e1a2f · outbound
A model for generating temporal networks with dynamic community structure guided by mutual information Effects of missing data in social networks.Social networks, 28(3):247–268, 2006
Reference 19
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e0e2de13-7bf8-4ff7-8f65-c90fb37fe07f · outbound
A model for generating temporal networks with dynamic community structure guided by mutual information Adjusting for network size and com- position effects in exponential-family random graph models.Statistical methodology, 8(4):319–339, 2011
Reference 20
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c2662981-b22d-4a1a-b3b5-987351ab4f53 · outbound
A model for generating temporal networks with dynamic community structure guided by mutual information Restricted set classification: Who is there?Pattern Recognition, 63:158–170, 2017
Reference 21
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 267f8a6a-6490-4fd1-b6d8-08f75bf6c772 · outbound
A model for generating temporal networks with dynamic community structure guided by mutual information Benchmarks for testing community detection algorithms on directed and weighted graphs with overlapping communities.Physical Review E, 80(1):016118, 2009
Reference 22
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 14b6490f-eef4-4910-ab59-1370a560bc8c · outbound
A model for generating temporal networks with dynamic community structure guided by mutual information Benchmark graphs for testing com- munity detection algorithms.Physical Review E, 78(4):046110, 2008
Reference 23
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3c32961d-3b57-49c4-9fa6-85a851d90da5 · outbound
A model for generating temporal networks with dynamic community structure guided by mutual information Multilayer financial complex networks and their applications.IEEE Transactions on Circuits and Systems I: Regular Papers, 69(10):4103–4116, 2022
Reference 24
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation cbeed354-c81b-49f2-a2cc-3aba747366a6 · outbound
A model for generating temporal networks with dynamic community structure guided by mutual information Facetnet: a framework for analyzing communities and their evolutions in dynamic networks
Reference 25
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Unavailable: canonical work link unavailable.
Observation 5412a350-a288-4b41-b0e7-cf78e4ef8c28 · outbound
A model for generating temporal networks with dynamic community structure guided by mutual information Evolution of communities in dynamic social networks: An efficient map-based approach.Expert Systems with Applications, 147:113221, 2020
Reference 26
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5b3799b3-5a18-4a3c-8002-c3189c42f2b2 · outbound
A model for generating temporal networks with dynamic community structure guided by mutual information Com- munity structure in time-dependent, multiscale, and multiplex networks.science, 328(5980):876–878, 2010
Reference 27
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ca995f9e-1ca2-42e5-baa6-ee8209bcb35d · outbound
A model for generating temporal networks with dynamic community structure guided by mutual information Mapping the NFT revolution: market trends, trade networks, and visual features.Scientific reports, 11(1):20902, 2021
Reference 28
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation db91ac86-f183-4e4a-97fe-6a4016e72091 · outbound
A model for generating temporal networks with dynamic community structure guided by mutual information Relating modularity maximization and stochastic block models in multilayer networks.SIAM Journal on Mathematics of Data Science, 1(4):667–698, 2019
Reference 29
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Unavailable: canonical work link unavailable.
Observation a364ae8c-ae36-4695-a92b-da0007cd348e · outbound
A model for generating temporal networks with dynamic community structure guided by mutual information Motifs in temporal networks
Reference 30
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Unavailable: canonical work link unavailable.
Observation 0a5044a6-de18-4e84-9cff-e8b6dfb45833 · outbound
A model for generating temporal networks with dynamic community structure guided by mutual information Nonparametric weighted stochastic block models.Physical Review E, 97(1):012306, 2018
Reference 31
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Unavailable: canonical work link unavailable.
Observation f487c4a6-2b58-4324-96c0-9d8ad2759b31 · outbound
A model for generating temporal networks with dynamic community structure guided by mutual information inferential community detection in networks: Pitfalls, myths and half-truths
Reference 32
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Unavailable: canonical work link unavailable.
Observation 0581c778-d4b4-43bd-827f-9b2f2ba31e6d · outbound
A model for generating temporal networks with dynamic community structure guided by mutual information Rossi and Nesreen K
Reference 33
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Unavailable: canonical work link unavailable.
Observation 43f26589-1728-4a03-964f-5280a91b1cdd · outbound
A model for generating temporal networks with dynamic community structure guided by mutual information Raphtory: The temporal graph engine for Rust and Python
Reference 34
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Unavailable: canonical work link unavailable.
Observation 1916d1ee-3bc0-45c8-bd8d-abd37eec6395 · outbound
A model for generating temporal networks with dynamic community structure guided by mutual information Tracking the evolution of com- munity structures in time-evolving social networks
Reference 35
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1f7cce95-397a-4ef8-8a0f-4f4497e282ae · outbound
A model for generating temporal networks with dynamic community structure guided by mutual information A tutorial on spectral clustering.Statistics and computing, 17(4):395–416, 2007
Reference 36
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Unavailable: canonical work link unavailable.
Observation 9d8a5e03-023a-42d2-a8ac-b3dab727771a · outbound
A model for generating temporal networks with dynamic community structure guided by mutual information Modeling and detecting change in temporal networks via the degree corrected stochastic block model.Quality and Reliability Engi- neering International, 35(5):1363–1378, 2019
Reference 37
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Unavailable: canonical work link unavailable.
Observation 1a62da1b-2806-401b-9aa8-e59b4b868b3f · outbound
A model for generating temporal networks with dynamic community structure guided by mutual information Dymond: Dynamic motif-nodes network generative model
Reference 38
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Unavailable: canonical work link unavailable.
Observation 83b81f3c-24f8-452c-a89b-4377faba58cc · outbound
A model for generating temporal networks with dynamic community structure guided by mutual information Quantifying community evolution in temporal networks.arXiv preprint arXiv:2411.10632, 2024
Reference 39
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Unavailable: canonical work link unavailable.
Observation 987a15b7-cf60-439b-b145-a0e018301e3b · outbound
A model for generating temporal networks with dynamic community structure guided by mutual information A data-driven graph generative model for temporal interaction networks
Reference 40
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Unavailable: canonical work link unavailable.
No inbound Pith citation observations are available.