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Paper Citation Record · LEDGER

Partitioning networks into clusters of synchronized nodes via the message-passing algorithm: an unbiased scalable approach

As of 15 August 2026, this Paper Citation Record lists 53 of 53 outbound references and 0 inbound Pith citation observations for arXiv:2601.15944.

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

pith.paper-citation-record.v1
2601.15944 v1

Coverage vector

measured 53 of 53 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-03T08:48:26.686096Z

measured 53 of 53 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

53 of 53 outbound references displayed

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  • verified fuzzy0
  • unresolved53
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 9adbee6c-e884-4378-80e8-281c8105b2a7 · outbound

This paper cites Barab´ asi,Network Science, Cambridge University Press, Cambridge, (2016).

Partitioning networks into clusters of synchronized nodes via the message-passing algorithm: an unbiased scalable approach Barab´ asi,Network Science, Cambridge University Press, Cambridge, (2016)

Reference 1

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Observation 77a74276-5427-4dda-acb0-3a6bc45a3459 · outbound

This paper cites Newman, Networks: An Introduction , Oxford Univer- sity Press, Oxford, (2018).

Partitioning networks into clusters of synchronized nodes via the message-passing algorithm: an unbiased scalable approach Newman, Networks: An Introduction , Oxford Univer- sity Press, Oxford, (2018)

Reference 2

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Observation 585627ee-a5e7-4179-90dd-83ca17a3007c · outbound

This paper cites an unresolved cited work.

Partitioning networks into clusters of synchronized nodes via the message-passing algorithm: an unbiased scalable approach Unresolved cited work

Reference 3

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source=pdf_text observed=2026-08-03T08:48:20.477378Z digest=sha256:83de74a26c6f7116b59cfa2537ce6a682af466b1d7279e6a50414fafaf088dd5

Observation bdc8afb9-6a65-46d4-9c36-47b0dc6e0e39 · outbound

This paper cites Dean and S.

Partitioning networks into clusters of synchronized nodes via the message-passing algorithm: an unbiased scalable approach Dean and S

Reference 4

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source=pdf_text observed=2026-08-03T08:48:20.594971Z digest=sha256:eb8f59aeac5e18e71a886c72602d64cad2d35fce2cf1b7b7907fcc1520b57832

Observation bc2e2cb1-cb61-4175-a3e0-e237eee6b1d7 · outbound

This paper cites Manyika et al., Big Data: The Next Frontier for Inno- vation, Competition, and Productivity, McKinsey Global Institute Report (2011).

Partitioning networks into clusters of synchronized nodes via the message-passing algorithm: an unbiased scalable approach Manyika et al., Big Data: The Next Frontier for Inno- vation, Competition, and Productivity, McKinsey Global Institute Report (2011)

Reference 5

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source=pdf_text observed=2026-08-03T08:48:20.774746Z digest=sha256:b6a2d7059a4d52993088caa3ad654e2717375a26c5a7d6602cc88b154a540a67

Observation b637fbfa-07a6-4606-837e-fd12f9fc2a17 · outbound

This paper cites Gandomi and M.

Partitioning networks into clusters of synchronized nodes via the message-passing algorithm: an unbiased scalable approach Gandomi and M

Reference 6

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Observation 1f274985-bfe7-48cd-b53c-0da510011224 · outbound

This paper cites Dorogovtsev, A.V.

Partitioning networks into clusters of synchronized nodes via the message-passing algorithm: an unbiased scalable approach Dorogovtsev, A.V

Reference 7

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Observation ff1f7964-355e-45a6-8da0-983e17e60c15 · outbound

This paper cites Kelling et al., Data-Intensive Science: A New Paradigm for Biodiversity Studies, BioScience, 59, 7, 613 (2009).

Partitioning networks into clusters of synchronized nodes via the message-passing algorithm: an unbiased scalable approach Kelling et al., Data-Intensive Science: A New Paradigm for Biodiversity Studies, BioScience, 59, 7, 613 (2009)

Reference 8

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source=pdf_text observed=2026-08-03T08:48:21.197306Z digest=sha256:e12766095247b26ca1e0fec591f83b52cd9c7dd3d911058aa80104cf7b2d44e8

Observation 1fa0d3c0-09af-491b-9f14-3cb0d3e96e1c · outbound

This paper cites an unresolved cited work.

Partitioning networks into clusters of synchronized nodes via the message-passing algorithm: an unbiased scalable approach Unresolved cited work

Reference 9

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source=pdf_text observed=2026-08-03T08:48:21.291974Z digest=sha256:aa0faebc1cf2378c13799b865a98eaee0ef1bd3db4c8df85cb75a4bfa3e78c63

Observation 153d2970-a19e-42dd-b80a-78c3a7fd623f · outbound

This paper cites Marx, Biology: The Big Challenges of Big Data, Na- ture, 498, 255 (2013).

Partitioning networks into clusters of synchronized nodes via the message-passing algorithm: an unbiased scalable approach Marx, Biology: The Big Challenges of Big Data, Na- ture, 498, 255 (2013)

Reference 10

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Observation 071057b4-de89-486a-85f5-7cd09a56a4db · outbound

This paper cites an unresolved cited work.

Partitioning networks into clusters of synchronized nodes via the message-passing algorithm: an unbiased scalable approach Unresolved cited work

Reference 11

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Observation 9325d85d-c3c4-46cb-9ad8-08eb2d5fd3fa · outbound

This paper cites Ravasz and A.-L.

Partitioning networks into clusters of synchronized nodes via the message-passing algorithm: an unbiased scalable approach Ravasz and A.-L

Reference 12

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Observation 27f112db-138f-4210-bf8e-b55cb086dcc6 · outbound

This paper cites Fortunato, Community detection in graphs, Phys.

Partitioning networks into clusters of synchronized nodes via the message-passing algorithm: an unbiased scalable approach Fortunato, Community detection in graphs, Phys

Reference 13

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source=pdf_text observed=2026-08-03T08:48:21.717920Z digest=sha256:82c56b43d14be585d229086edd2d1819916f266d8772f7c00089b14d3adf8a61

Observation a62d74a2-4fbc-431a-a594-fb5c59841305 · outbound

This paper cites Fortunato, Community detection in networks: A user guide, Phys.

Partitioning networks into clusters of synchronized nodes via the message-passing algorithm: an unbiased scalable approach Fortunato, Community detection in networks: A user guide, Phys

Reference 14

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Observation 4f80baa0-6756-4a24-947b-f6aae002db67 · outbound

This paper cites local matrices.

Partitioning networks into clusters of synchronized nodes via the message-passing algorithm: an unbiased scalable approach local matrices

Reference 15

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Observation 500c814f-3e79-40e7-9e03-487b34b64b67 · outbound

This paper cites edges.txt.

Partitioning networks into clusters of synchronized nodes via the message-passing algorithm: an unbiased scalable approach edges.txt

Reference 16

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Observation 8867ee99-dde3-4574-9171-b1fdd6d9f646 · outbound

This paper cites an unresolved cited work.

Partitioning networks into clusters of synchronized nodes via the message-passing algorithm: an unbiased scalable approach Unresolved cited work

Reference 17

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Observation 078ac621-83d3-4069-a7ae-94e2cdad9141 · outbound

This paper cites an unresolved cited work.

Partitioning networks into clusters of synchronized nodes via the message-passing algorithm: an unbiased scalable approach Unresolved cited work

Reference 18

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Observation f626c4b8-9f38-431a-a42f-1b8198d26f62 · outbound

This paper cites an unresolved cited work.

Partitioning networks into clusters of synchronized nodes via the message-passing algorithm: an unbiased scalable approach Unresolved cited work

Reference 19

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Observation 200e9552-75b6-4e00-a042-192f0ca7fe54 · outbound

This paper cites an unresolved cited work.

Partitioning networks into clusters of synchronized nodes via the message-passing algorithm: an unbiased scalable approach Unresolved cited work

Reference 20

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Observation c1a43a5d-423b-4d01-8ddf-53730a016f81 · outbound

This paper cites an unresolved cited work.

Partitioning networks into clusters of synchronized nodes via the message-passing algorithm: an unbiased scalable approach Unresolved cited work

Reference 21

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Observation 3a28f65e-b8de-43b7-ab54-651e47093b75 · outbound

This paper cites an unresolved cited work.

Partitioning networks into clusters of synchronized nodes via the message-passing algorithm: an unbiased scalable approach Unresolved cited work

Reference 22

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Observation 52cc92a3-99e2-41db-82e5-b522fe3b9171 · outbound

This paper cites an unresolved cited work.

Partitioning networks into clusters of synchronized nodes via the message-passing algorithm: an unbiased scalable approach Unresolved cited work

Reference 23

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Observation 83d16178-2dde-492b-9108-1e600ac54dc2 · outbound

This paper cites an unresolved cited work.

Partitioning networks into clusters of synchronized nodes via the message-passing algorithm: an unbiased scalable approach Unresolved cited work

Reference 24

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Observation c270f871-e6ba-49aa-ba8e-fd648ff0fa39 · outbound

This paper cites non stationarity.

Partitioning networks into clusters of synchronized nodes via the message-passing algorithm: an unbiased scalable approach non stationarity

Reference 25

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Observation 1c97dd7e-d26f-4144-8b5d-c53e332c5cbb · outbound

This paper cites an unresolved cited work.

Partitioning networks into clusters of synchronized nodes via the message-passing algorithm: an unbiased scalable approach Unresolved cited work

Reference 26

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Observation a463cf41-6286-42ba-ba43-d23743db2409 · outbound

This paper cites an unresolved cited work.

Partitioning networks into clusters of synchronized nodes via the message-passing algorithm: an unbiased scalable approach Unresolved cited work

Reference 27

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Observation 52dafbd8-3789-4d83-8ea8-feddea3556f1 · outbound

This paper cites an unresolved cited work.

Partitioning networks into clusters of synchronized nodes via the message-passing algorithm: an unbiased scalable approach Unresolved cited work

Reference 28

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Observation 3e158a71-e045-45d2-bda4-4df38654605b · outbound

This paper cites an unresolved cited work.

Partitioning networks into clusters of synchronized nodes via the message-passing algorithm: an unbiased scalable approach Unresolved cited work

Reference 29

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Observation bd89f6a8-9c43-48ea-ad20-7941d37a8a1d · outbound

This paper cites an unresolved cited work.

Partitioning networks into clusters of synchronized nodes via the message-passing algorithm: an unbiased scalable approach Unresolved cited work

Reference 30

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Observation 6359a90a-bbc2-449c-9a9b-4d4c77f6cdec · outbound

This paper cites an unresolved cited work.

Partitioning networks into clusters of synchronized nodes via the message-passing algorithm: an unbiased scalable approach Unresolved cited work

Reference 31

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Observation b0f4d83b-eb07-4ae3-8852-896ecbdb4378 · outbound

This paper cites an unresolved cited work.

Partitioning networks into clusters of synchronized nodes via the message-passing algorithm: an unbiased scalable approach Unresolved cited work

Reference 32

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Observation 1a305bdc-abe8-4327-8915-3ea2fd6a09ce · outbound

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Partitioning networks into clusters of synchronized nodes via the message-passing algorithm: an unbiased scalable approach Unresolved cited work

Reference 33

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Observation 94e69253-9980-40e6-b7af-de8f3a0e7b7c · outbound

This paper cites Fiore, G.

Partitioning networks into clusters of synchronized nodes via the message-passing algorithm: an unbiased scalable approach Fiore, G

Reference 34

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Observation a44afd8b-a2d0-459d-884f-695d9093cca0 · outbound

This paper cites an unresolved cited work.

Partitioning networks into clusters of synchronized nodes via the message-passing algorithm: an unbiased scalable approach Unresolved cited work

Reference 35

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Observation 90d80da2-2914-4012-9dfb-2dcb46cd0068 · outbound

This paper cites Della Rossa, L.

Partitioning networks into clusters of synchronized nodes via the message-passing algorithm: an unbiased scalable approach Della Rossa, L

Reference 36

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Observation 7f434e79-c5d5-4127-9671-c4cfd8abbb45 · outbound

This paper cites an unresolved cited work.

Partitioning networks into clusters of synchronized nodes via the message-passing algorithm: an unbiased scalable approach Unresolved cited work

Reference 37

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Observation 6f6446a0-2ed8-4c5a-8559-40ec9aa8560e · outbound

This paper cites Ostilli, Topologically protected synchronization in net- works, Phys.

Partitioning networks into clusters of synchronized nodes via the message-passing algorithm: an unbiased scalable approach Ostilli, Topologically protected synchronization in net- works, Phys

Reference 38

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Observation 0f1b7712-0858-405e-a6f4-ac6ba35ff6cf · outbound

This paper cites Bayani, F.

Partitioning networks into clusters of synchronized nodes via the message-passing algorithm: an unbiased scalable approach Bayani, F

Reference 39

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Observation f5201cc9-a0c8-48fd-addc-b78ffa3ff90c · outbound

This paper cites an unresolved cited work.

Partitioning networks into clusters of synchronized nodes via the message-passing algorithm: an unbiased scalable approach Unresolved cited work

Reference 40

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Observation dedffce7-0229-4f1c-9247-5ed1ba8d5695 · outbound

This paper cites S., Freeman, W.

Partitioning networks into clusters of synchronized nodes via the message-passing algorithm: an unbiased scalable approach S., Freeman, W

Reference 41

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Observation b4c17452-4db8-4fb4-97ed-fb6b25447395 · outbound

This paper cites M´ ezard and G.

Partitioning networks into clusters of synchronized nodes via the message-passing algorithm: an unbiased scalable approach M´ ezard and G

Reference 42

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Observation 01632166-68be-4617-bb85-acea7199137f · outbound

This paper cites M´ ezard and A.

Partitioning networks into clusters of synchronized nodes via the message-passing algorithm: an unbiased scalable approach M´ ezard and A

Reference 43

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source=pdf_text observed=2026-08-03T08:48:25.152807Z digest=sha256:b76ca7cb1aefe684af327e60562e4a89e4c814b148a8307844119eaafe7966ba

Observation 0dee2ff0-eb91-4548-8e36-391e7565f5f4 · outbound

This paper cites S.Skardal and A.

Partitioning networks into clusters of synchronized nodes via the message-passing algorithm: an unbiased scalable approach S.Skardal and A

Reference 44

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Observation 70939d8f-8e88-48a0-b3ad-b8ea07ada180 · outbound

This paper cites an unresolved cited work.

Partitioning networks into clusters of synchronized nodes via the message-passing algorithm: an unbiased scalable approach Unresolved cited work

Reference 45

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Observation 86defc14-3676-4880-8d96-de012b8d91ca · outbound

This paper cites Pikovsky, M.

Partitioning networks into clusters of synchronized nodes via the message-passing algorithm: an unbiased scalable approach Pikovsky, M

Reference 46

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Observation 4dccb287-54c4-4a29-b2e4-0230e5b27cf6 · outbound

This paper cites Arenas, A.

Partitioning networks into clusters of synchronized nodes via the message-passing algorithm: an unbiased scalable approach Arenas, A

Reference 47

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Observation 8c2b68fa-cc12-4f2a-84e8-b656a79ae108 · outbound

This paper cites Krzakala, F.

Partitioning networks into clusters of synchronized nodes via the message-passing algorithm: an unbiased scalable approach Krzakala, F

Reference 48

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Observation 669c66cb-b4dd-4b02-a96a-4fbe94d4a594 · outbound

This paper cites an unresolved cited work.

Partitioning networks into clusters of synchronized nodes via the message-passing algorithm: an unbiased scalable approach Unresolved cited work

Reference 49

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Observation 62267f79-6845-4cfe-b8d9-4bcabd82ee32 · outbound

This paper cites Peixoto, Network Reconstruction and Community De- tection from Dynamics , Phys.

Partitioning networks into clusters of synchronized nodes via the message-passing algorithm: an unbiased scalable approach Peixoto, Network Reconstruction and Community De- tection from Dynamics , Phys

Reference 50

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Observation b2135c80-86ac-48d5-b2e3-6b7f1a1f275e · outbound

This paper cites J Duncan and S.

Partitioning networks into clusters of synchronized nodes via the message-passing algorithm: an unbiased scalable approach J Duncan and S

Reference 51

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source=pdf_text observed=2026-08-03T08:48:26.361703Z digest=sha256:b82ca9e1b18e8f2f2be7e55b184df347e1b82858a12e023f2642b3ea5c6b9eea

Observation 037dad77-b046-4b9d-9d21-7bea7eb8e3fc · outbound

This paper cites an unresolved cited work.

Partitioning networks into clusters of synchronized nodes via the message-passing algorithm: an unbiased scalable approach Unresolved cited work

Reference 52

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source=pdf_text observed=2026-08-03T08:48:26.549695Z digest=sha256:d90ef9ea4acf951e8971d83c15013d94a530f3c13afeb3f1c753057e27a732d0

Observation 2c047f89-44ce-4e53-a805-4e91833537b4 · outbound

This paper cites an unresolved cited work.

Partitioning networks into clusters of synchronized nodes via the message-passing algorithm: an unbiased scalable approach Unresolved cited work

Reference 53

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source=pdf_text observed=2026-08-03T08:48:26.686096Z digest=sha256:8fc324c22c5cf13143c6000b5f95927fb87fe7b7f010201645fc778103caa3c3

Pith citing papers

No inbound Pith citation observations are available.