Paper Citation Record · LEDGER

Machine Learning Informed by Micro and Mesoscopic Statistical Physics Methods for Community Detection

As of 18 August 2026, this Paper Citation Record lists 50 of 50 outbound references and 1 inbound Pith citation observation for arXiv:2504.13538.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2504.13538 v1

Coverage vector

measured 50 of 50 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T12:11:39.300968Z

measured 51 of 51 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T05:32:04.419631Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-08-16T05:32:04.651495Z

Reference resolution

50 of 50 outbound references displayed

verified exact0
verified fuzzy41
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a91ef2da-1db7-4012-8a7f-0619413749cf · outbound

This paper cites Link communities reveal multiscale complexity in networks.

Machine Learning Informed by Micro and Mesoscopic Statistical Physics Methods for Community Detection Link communities reveal multiscale complexity in networks

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:11:39.966917Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 5011c00c-e532-45aa-96db-998750a6d1f6 · outbound

This paper cites Xgboost: A scalable tree boosting system.

Machine Learning Informed by Micro and Mesoscopic Statistical Physics Methods for Community Detection Xgboost: A scalable tree boosting system

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:11:39.953625Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 7df8fc13-2454-49b5-82fd-ceece3593ef0 · outbound

This paper cites Finding community structure in very large net- works.

Machine Learning Informed by Micro and Mesoscopic Statistical Physics Methods for Community Detection Finding community structure in very large net- works

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:11:39.938720Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 5f8f69fb-dd70-4882-bc53-1defa8dbdbb3 · outbound

This paper cites Community detection, link prediction, and layer interdependence in multilayer networks.

Machine Learning Informed by Micro and Mesoscopic Statistical Physics Methods for Community Detection Community detection, link prediction, and layer interdependence in multilayer networks

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:11:39.922582Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 35c1fbda-39d4-4689-b783-0d817190e9d5 · outbound

This paper cites Community detection in graphs.

Machine Learning Informed by Micro and Mesoscopic Statistical Physics Methods for Community Detection Community detection in graphs

Reference 5

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Source-reported events for the cited work

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Observation 5cd36e70-08a3-4a2f-99e2-9a9bf0ad9a02 · outbound

This paper cites Community detection in networks: A user guide.Physics reports, 659:1–44, 2016.

Machine Learning Informed by Micro and Mesoscopic Statistical Physics Methods for Community Detection Community detection in networks: A user guide.Physics reports, 659:1–44, 2016

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:11:39.898371Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation af5e188b-b58d-4b05-b3fb-a5201a238d7c · outbound

This paper cites 20 years of network community detection.

Machine Learning Informed by Micro and Mesoscopic Statistical Physics Methods for Community Detection 20 years of network community detection

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:11:39.882510Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation bd67ac32-46f0-4825-89e9-94c137ec19b8 · outbound

This paper cites Evaluating overfit and underfit in models of network community structure.

Machine Learning Informed by Micro and Mesoscopic Statistical Physics Methods for Community Detection Evaluating overfit and underfit in models of network community structure

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:11:39.864247Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 035a4860-8d28-4c1e-b0cb-5b1c2ca424bf · outbound

This paper cites Stacking models for nearly optimal link prediction in complex networks.

Machine Learning Informed by Micro and Mesoscopic Statistical Physics Methods for Community Detection Stacking models for nearly optimal link prediction in complex networks

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:11:39.849829Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation a14dd124-dced-4acc-bd90-a75b74f64799 · outbound

This paper cites Detectability thresholds and optimal algorithms for community structure in dynamic networks.

Machine Learning Informed by Micro and Mesoscopic Statistical Physics Methods for Community Detection Detectability thresholds and optimal algorithms for community structure in dynamic networks

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:11:39.835513Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 0471e58c-1069-4829-afd5-1d486ff699be · outbound

This paper cites Modularity and stability in ecological communities.

Machine Learning Informed by Micro and Mesoscopic Statistical Physics Methods for Community Detection Modularity and stability in ecological communities

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:11:39.821305Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 1b31925e-c9b9-403e-84bb-60182ef198a2 · outbound

This paper cites One model to rule them all in network science? Proceedings of the National Academy of Sciences, 117(41):25195–25197, 2020.

Machine Learning Informed by Micro and Mesoscopic Statistical Physics Methods for Community Detection One model to rule them all in network science? Proceedings of the National Academy of Sciences, 117(41):25195–25197, 2020

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:11:39.809047Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 4547642a-fe98-4a1b-a6ab-44d25c7eec01 · outbound

This paper cites Community detection in networks without observing edges.

Machine Learning Informed by Micro and Mesoscopic Statistical Physics Methods for Community Detection Community detection in networks without observing edges

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:11:39.796318Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 922450a2-248d-4807-ad0d-7760685795c8 · outbound

This paper cites Temporal networks.

Machine Learning Informed by Micro and Mesoscopic Statistical Physics Methods for Community Detection Temporal networks

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-16T12:11:39.149085Z

Source-reported events for the cited work

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Observation 4db71cbb-c133-4ec6-b875-ee53786320d9 · outbound

This paper cites A survey of community detection approaches: From statistical modeling to deep learning.

Machine Learning Informed by Micro and Mesoscopic Statistical Physics Methods for Community Detection A survey of community detection approaches: From statistical modeling to deep learning

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:11:39.773911Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation a4464b6b-7b43-43d5-9276-df10eb8fe7aa · outbound

This paper cites Snap datasets: Stanford large network dataset collection.

Machine Learning Informed by Micro and Mesoscopic Statistical Physics Methods for Community Detection Snap datasets: Stanford large network dataset collection

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:11:39.760138Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation bac86a8c-6b76-4bfa-8276-887369e39fa7 · outbound

This paper cites Network community detection via neural embeddings.

Machine Learning Informed by Micro and Mesoscopic Statistical Physics Methods for Community Detection Network community detection via neural embeddings

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-16T12:11:39.161770Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7ce4f367-9d68-4c39-9797-6be4bf4c98b1 · outbound

This paper cites Modularity and dynamics on complex networks.

Machine Learning Informed by Micro and Mesoscopic Statistical Physics Methods for Community Detection Modularity and dynamics on complex networks

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:11:39.739109Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 9b04d066-5f01-4bc8-b0c6-82a50513ecbe · outbound

This paper cites The fundamental advantages of temporal networks.

Machine Learning Informed by Micro and Mesoscopic Statistical Physics Methods for Community Detection The fundamental advantages of temporal networks

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:11:39.725652Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation da76ebb4-0927-48b5-a085-86d8860f7c24 · outbound

This paper cites Dynamic community detection over evolving networks based on the optimized deep graph infomax.

Machine Learning Informed by Micro and Mesoscopic Statistical Physics Methods for Community Detection Dynamic community detection over evolving networks based on the optimized deep graph infomax

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:11:39.711590Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 76c09102-50f2-4106-8551-1c6319bfd2b7 · outbound

This paper cites Modularity and community structure in networks.

Machine Learning Informed by Micro and Mesoscopic Statistical Physics Methods for Community Detection Modularity and community structure in networks

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-16T12:11:39.179240Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2e62cceb-1702-4b86-9a80-a8e21a76eb75 · outbound

This paper cites Finding and evaluating community structure in networks.

Machine Learning Informed by Micro and Mesoscopic Statistical Physics Methods for Community Detection Finding and evaluating community structure in networks

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-16T12:11:39.183341Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ab430bc8-d81a-4ff3-a2d8-387ea948c481 · outbound

This paper cites Network reconstruction and community detection from dynamics.

Machine Learning Informed by Micro and Mesoscopic Statistical Physics Methods for Community Detection Network reconstruction and community detection from dynamics

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:11:39.679054Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 6a201c96-b854-4ed0-8e35-41b367556a85 · outbound

This paper cites Optimizing parameter search for community detection in time-evolving networks of complex systems.

Machine Learning Informed by Micro and Mesoscopic Statistical Physics Methods for Community Detection Optimizing parameter search for community detection in time-evolving networks of complex systems

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:11:39.665674Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation de4d5d3e-5362-4472-ac7d-157525893d3a · outbound

This paper cites Information granulation-based community detection for social networks.

Machine Learning Informed by Micro and Mesoscopic Statistical Physics Methods for Community Detection Information granulation-based community detection for social networks

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:11:39.651342Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation d61d4b6c-5c26-4f46-94da-39494095fe7f · outbound

This paper cites The maximum capability of a topological feature in link prediction.

Machine Learning Informed by Micro and Mesoscopic Statistical Physics Methods for Community Detection The maximum capability of a topological feature in link prediction

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:11:39.637527Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation d2e6899b-6187-4355-85b7-1f7e455c1a04 · outbound

This paper cites Comparing community structure to characteristics in online collegiate social networks.

Machine Learning Informed by Micro and Mesoscopic Statistical Physics Methods for Community Detection Comparing community structure to characteristics in online collegiate social networks

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:11:39.622622Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation f8dd96e3-e065-401d-90d5-d92deff7a07c · outbound

This paper cites Maps of random walks on complex networks reveal community structure.

Machine Learning Informed by Micro and Mesoscopic Statistical Physics Methods for Community Detection Maps of random walks on complex networks reveal community structure

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-16T12:11:39.206865Z

Source-reported events for the cited work

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Observation 44e8ff5c-3364-4bb5-a0ab-f4242fcda7cd · outbound

This paper cites Link prediction for tree-like networks.

Machine Learning Informed by Micro and Mesoscopic Statistical Physics Methods for Community Detection Link prediction for tree-like networks

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-16T12:11:39.210800Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 619c0e6d-7291-4169-bb7a-12117aa6b387 · outbound

This paper cites Link prediction for long-circle-like networks.

Machine Learning Informed by Micro and Mesoscopic Statistical Physics Methods for Community Detection Link prediction for long-circle-like networks

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-16T12:11:39.215834Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d49b25c0-65a8-4cf6-8b2f-f57b409d8bbe · outbound

This paper cites A novel metric for community detection.

Machine Learning Informed by Micro and Mesoscopic Statistical Physics Methods for Community Detection A novel metric for community detection

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:11:39.585975Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 3aeba12b-e748-473a-ba5b-8bb616efe2ca · outbound

This paper cites Local dominance unveils clusters in networks.

Machine Learning Informed by Micro and Mesoscopic Statistical Physics Methods for Community Detection Local dominance unveils clusters in networks

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:11:39.572671Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 0948928d-dab0-4e54-8b66-8b830ce36acd · outbound

This paper cites A comprehensive survey on community detection with deep learning.

Machine Learning Informed by Micro and Mesoscopic Statistical Physics Methods for Community Detection A comprehensive survey on community detection with deep learning

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:11:39.559906Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 31b8ecf2-6ee2-4b94-bfde-8d06cd843573 · outbound

This paper cites Machine learning approach to detect dynamical states from recurrence measures.Chaos: An Interdisciplinary Journal of Nonlinear Science, 34(4), 2024.

Machine Learning Informed by Micro and Mesoscopic Statistical Physics Methods for Community Detection Machine learning approach to detect dynamical states from recurrence measures.Chaos: An Interdisciplinary Journal of Nonlinear Science, 34(4), 2024

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:11:39.545062Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 24d090b1-906a-459a-90f4-834ac74c1168 · outbound

This paper cites From louvain to leiden: guaranteeing well- connected communities.

Machine Learning Informed by Micro and Mesoscopic Statistical Physics Methods for Community Detection From louvain to leiden: guaranteeing well- connected communities

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-16T12:11:39.237604Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7bb286af-1984-4873-83b4-b4622837d747 · outbound

This paper cites Multilayer stochastic block models reveal the multilayer structure of complex networks.

Machine Learning Informed by Micro and Mesoscopic Statistical Physics Methods for Community Detection Multilayer stochastic block models reveal the multilayer structure of complex networks

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:11:39.518700Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation fe751e37-99b9-4f0c-a978-5383fdcb29a6 · outbound

This paper cites Scalable spectral clustering for overlapping community detection in large-scale networks.

Machine Learning Informed by Micro and Mesoscopic Statistical Physics Methods for Community Detection Scalable spectral clustering for overlapping community detection in large-scale networks

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:11:39.506637Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 785ed6c3-d8bd-46fd-959a-d718adf22bf5 · outbound

This paper cites Non-negative matrix factorization for overlapping community detection in directed weighted networks with sparse constraints.

Machine Learning Informed by Micro and Mesoscopic Statistical Physics Methods for Community Detection Non-negative matrix factorization for overlapping community detection in directed weighted networks with sparse constraints

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:11:39.493372Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 5a9a535b-eb96-4553-ad6e-7a91e3cc8db8 · outbound

This paper cites Constrained fuzzy community detection by a new modularity optimization framework.

Machine Learning Informed by Micro and Mesoscopic Statistical Physics Methods for Community Detection Constrained fuzzy community detection by a new modularity optimization framework

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:11:39.478634Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation f66af3ff-83c6-4ac5-b68e-2ae54dc736f5 · outbound

This paper cites Higher-order fuzzy membership in motif modularity optimization.

Machine Learning Informed by Micro and Mesoscopic Statistical Physics Methods for Community Detection Higher-order fuzzy membership in motif modularity optimization

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:11:39.466039Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation def6a7ca-5825-43c3-a530-6c49e32f7abc · outbound

This paper cites Overlapping community detection in networks: The state-of-the-art and comparative study.

Machine Learning Informed by Micro and Mesoscopic Statistical Physics Methods for Community Detection Overlapping community detection in networks: The state-of-the-art and comparative study

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:11:39.452626Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 7595c0a4-8bb1-44d8-a6c1-3e0d8ea91ce0 · outbound

This paper cites Defining and evaluating network communities based on ground-truth.

Machine Learning Informed by Micro and Mesoscopic Statistical Physics Methods for Community Detection Defining and evaluating network communities based on ground-truth

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:11:39.438351Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 48080ac4-a4e7-46ee-b37d-3bdee9a239ed · outbound

This paper cites Local higher-order graph clustering.

Machine Learning Informed by Micro and Mesoscopic Statistical Physics Methods for Community Detection Local higher-order graph clustering

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:11:39.424685Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 2224de31-88bd-497b-a408-6688ebf5c604 · outbound

This paper cites An interpretable station delay prediction model based on graph community neural network and time-series fuzzy decision tree.

Machine Learning Informed by Micro and Mesoscopic Statistical Physics Methods for Community Detection An interpretable station delay prediction model based on graph community neural network and time-series fuzzy decision tree

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:11:39.413479Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 24ce6757-8d5f-4667-930f-89b4065cf87f · outbound

This paper cites Evaluating accuracy of community detection using the relative normalized mutual information.

Machine Learning Informed by Micro and Mesoscopic Statistical Physics Methods for Community Detection Evaluating accuracy of community detection using the relative normalized mutual information

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:11:39.401085Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 66045571-5596-467c-8868-32bba5f6b192 · outbound

This paper cites Scalable detection of statistically significant communities and hierarchies, using message passing for modularity.

Machine Learning Informed by Micro and Mesoscopic Statistical Physics Methods for Community Detection Scalable detection of statistically significant communities and hierarchies, using message passing for modularity

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:11:39.387585Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation e5736b1a-1a00-4d8b-b559-4a78c86637d8 · outbound

This paper cites Detecting net- work communities based on central node selection and expansion.

Machine Learning Informed by Micro and Mesoscopic Statistical Physics Methods for Community Detection Detecting net- work communities based on central node selection and expansion

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:11:39.374530Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 86ed42c5-5021-44c1-8b98-c0d4cd1c0e0a · outbound

This paper cites Hierarchi- cal organization unveiled by functional connectivity in complex brain networks.

Machine Learning Informed by Micro and Mesoscopic Statistical Physics Methods for Community Detection Hierarchi- cal organization unveiled by functional connectivity in complex brain networks

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:11:39.362339Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 636ecfdc-9600-4bc8-8881-5827e585b0bf · outbound

This paper cites Robustecd: Enhancement of network structure for robust community detection.

Machine Learning Informed by Micro and Mesoscopic Statistical Physics Methods for Community Detection Robustecd: Enhancement of network structure for robust community detection

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:11:39.349355Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 5222e7ea-ffec-47c4-b75a-968154cb67a8 · outbound

This paper cites Unsupervised community detection in attributed networks based on mutual information maximization.

Machine Learning Informed by Micro and Mesoscopic Statistical Physics Methods for Community Detection Unsupervised community detection in attributed networks based on mutual information maximization

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:11:39.335836Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Pith citing papers

Observation 131af22f-535c-4446-b0cd-bcf083653c36 · inbound

Triadic Closure-Heterogeneity-Harmony GCN for Link Prediction cites this paper.

Triadic Closure-Heterogeneity-Harmony GCN for Link Prediction Machine Learning Informed by Micro and Mesoscopic Statistical Physics Methods for Community Detection

Reference 16

Resolution: verified exact; local_arxiv, observed 2026-08-16T05:32:04.657155Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.