Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-10T05:58:26.597140Z
Paper Citation Record · LEDGER
As of 18 August 2026, this Paper Citation Record lists 100 of 156 outbound references and 0 inbound Pith citation observations for arXiv:2608.07344.
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 2026-08-10T05:58:26.597140Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+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
100 of 156 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 6b5bd1f5-b27e-42ab-9ad9-ddc501bb13d9 · outbound
muxvizpy: a Python library for the analysis of multilayer biological networks Neural Krylov Iteration for Accelerating Linear System Solving , url =
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Observation 5ac86349-a2db-48fc-b5df-5ab89cd66524 · outbound
muxvizpy: a Python library for the analysis of multilayer biological networks Journal of Complex Networks , volume=
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muxvizpy: a Python library for the analysis of multilayer biological networks inferential community detection in networks: Pitfalls, myths and half-truths , author=
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muxvizpy: a Python library for the analysis of multilayer biological networks New Journal of Physics , volume=
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muxvizpy: a Python library for the analysis of multilayer biological networks Nature Physics , year =
Reference 9
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Observation 84a3bd0a-cf27-497d-8d65-582ff02d1acb · outbound
muxvizpy: a Python library for the analysis of multilayer biological networks A Comparative Analysis of Multilayer Network Software , year =
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muxvizpy: a Python library for the analysis of multilayer biological networks 2019 IEEE EMBS International Conference on Biomedical & Health Informatics (BHI) , pages=
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muxvizpy: a Python library for the analysis of multilayer biological networks Neural Machine Translation by Jointly Learning to Align and Translate
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muxvizpy: a Python library for the analysis of multilayer biological networks Journal of the American College of Cardiology , volume=
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Observation 3ebfcc33-ea91-423c-b393-fd7094f7498c · outbound
muxvizpy: a Python library for the analysis of multilayer biological networks Proceedings of the IEEE International Conference on Computer Vision , pages=
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muxvizpy: a Python library for the analysis of multilayer biological networks IEEE Transactions on Pattern Analysis and Machine Intelligence , volume=
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muxvizpy: a Python library for the analysis of multilayer biological networks Advances in Neural Information Processing Systems , pages=
Reference 21
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muxvizpy: a Python library for the analysis of multilayer biological networks Nature Reviews Genetics , volume=
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muxvizpy: a Python library for the analysis of multilayer biological networks Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition , pages=
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muxvizpy: a Python library for the analysis of multilayer biological networks Nature , volume=
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muxvizpy: a Python library for the analysis of multilayer biological networks Fine-Grained Age Estimation in the wild with Attention
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muxvizpy: a Python library for the analysis of multilayer biological networks Briefings in
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muxvizpy: a Python library for the analysis of multilayer biological networks Advances in
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Observation 64c8befc-0306-48f4-968f-d41a44686f8d · outbound
muxvizpy: a Python library for the analysis of multilayer biological networks IEEE/ACM Transactions on Computational Biology and Bioinformatics , year=
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Observation e976c7ba-7dda-49d5-aa82-324f3e577935 · outbound
muxvizpy: a Python library for the analysis of multilayer biological networks NeuroImage , volume=
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Observation 56a65ef7-e9a2-4ab5-bb21-647fedb474cd · outbound
muxvizpy: a Python library for the analysis of multilayer biological networks Journal of Biomedical Informatics , volume=
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Observation 31a462aa-03ca-4f98-9a24-dd4a29751af4 · outbound
muxvizpy: a Python library for the analysis of multilayer biological networks Biogerontology , volume=
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Observation 26abff6f-cac7-47e2-9a79-86bcf8828196 · outbound
muxvizpy: a Python library for the analysis of multilayer biological networks BioRxiv , pages=
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muxvizpy: a Python library for the analysis of multilayer biological networks American Journal of Epidemiology , volume=
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muxvizpy: a Python library for the analysis of multilayer biological networks Population Specific Biomarkers of Human Aging: A Big Data Study Using
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Observation 277a827f-e0c9-4c86-9f9c-af2adee6aadd · outbound
muxvizpy: a Python library for the analysis of multilayer biological networks The Journal of Machine Learning Research , volume=
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Observation 68b1b242-945b-4265-bdc8-44de347550a8 · outbound
muxvizpy: a Python library for the analysis of multilayer biological networks 2016 , journal=
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muxvizpy: a Python library for the analysis of multilayer biological networks Informativeness of indices of blood pressure, obesity and serum lipids in relation to ischaemic heart disease mortality:
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muxvizpy: a Python library for the analysis of multilayer biological networks Adam: A Method for Stochastic Optimization
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muxvizpy: a Python library for the analysis of multilayer biological networks Journal of the American Statistical Association , volume=
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muxvizpy: a Python library for the analysis of multilayer biological networks Medicine and Science in Sports and Exercise , volume=
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muxvizpy: a Python library for the analysis of multilayer biological networks The Journals of Gerontology Series A: Biological Sciences and Medical Sciences , volume=
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muxvizpy: a Python library for the analysis of multilayer biological networks Worldwide trends in insufficient physical activity from 2001 to 2016: a pooled analysis of 358 population-based surveys with 1
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Observation 7ff2a7f8-02c2-4d4a-b851-196e2081af1f · outbound
muxvizpy: a Python library for the analysis of multilayer biological networks Proceedings of the
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Observation d14a46d4-fd21-4234-a794-f72d4db28ecb · outbound
muxvizpy: a Python library for the analysis of multilayer biological networks American Journal of Epidemiology , volume=
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muxvizpy: a Python library for the analysis of multilayer biological networks Proceedings of the National Academy of Sciences , volume=
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muxvizpy: a Python library for the analysis of multilayer biological networks Medical Informatics , volume=
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muxvizpy: a Python library for the analysis of multilayer biological networks A novel strategy for forensic age prediction by
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muxvizpy: a Python library for the analysis of multilayer biological networks IEEE Conference on Computer Vision and Pattern Recognition (CVPR) , pages=
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muxvizpy: a Python library for the analysis of multilayer biological networks IEEE Transactions on Multimedia , volume=
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muxvizpy: a Python library for the analysis of multilayer biological networks Aging Cell , volume=
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muxvizpy: a Python library for the analysis of multilayer biological networks Comparison of performance-based measures among native
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muxvizpy: a Python library for the analysis of multilayer biological networks Nutrition and handgrip strength of older adults in rural
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muxvizpy: a Python library for the analysis of multilayer biological networks International Conference on Artificial Neural Networks , pages=
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muxvizpy: a Python library for the analysis of multilayer biological networks American Journal of Respiratory and Critical Care Medicine , volume=
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muxvizpy: a Python library for the analysis of multilayer biological networks PLoS ONE , volume=
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muxvizpy: a Python library for the analysis of multilayer biological networks Physiological Basis of Aging and Geriatrics , pages=
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muxvizpy: a Python library for the analysis of multilayer biological networks A new body shape index predicts mortality hazard independently of
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muxvizpy: a Python library for the analysis of multilayer biological networks IEEE Transactions on Pattern Analysis and Machine Intelligence , volume=
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