Renormalizable Graph Embeddings For Multi-Scale Network Reconstruction | Paper Citation Record

Observation 8ac8ba7d-8998-40ed-b04e-13c5bea6afa1 · outbound

This paper cites They require that the renormalized probability P(ℓ) sum equals the coarse-grained P(ℓ) cog with the same functional form ([18], section B 1) for all the scales.

Renormalizable Graph Embeddings For Multi-Scale Network Reconstruction They require that the renormalized probability P(ℓ) sum equals the coarse-grained P(ℓ) cog with the same functional form ([18], section B 1) for all the scales

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:59:15.473708Z

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Observation d473542e-c863-4587-9469-e69135860eae · outbound

This paper cites coarse-graining.

Renormalizable Graph Embeddings For Multi-Scale Network Reconstruction coarse-graining

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:59:15.438964Z

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Observation b78e6411-703c-4f82-a007-1a33be1334f9 · outbound

This paper cites Public Admin- istration.

Renormalizable Graph Embeddings For Multi-Scale Network Reconstruction Public Admin- istration

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:59:15.421900Z

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Observation 84bd4de8-c114-466b-a526-3635020e65c6 · outbound

This paper cites This does not guarantee that the predictions derived from a summed model will match those from a re-fitted one.

Renormalizable Graph Embeddings For Multi-Scale Network Reconstruction This does not guarantee that the predictions derived from a summed model will match those from a re-fitted one

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:59:15.404486Z

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Observation ab2b4a1d-120f-4c1d-8428-1a99645a332a · outbound

This paper cites As a result, the fitnCM is expected to yield better local-level predictions compared to the MSMs (refer to 7a).

Renormalizable Graph Embeddings For Multi-Scale Network Reconstruction As a result, the fitnCM is expected to yield better local-level predictions compared to the MSMs (refer to 7a)

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:59:15.380622Z

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Observation 635e32d7-6058-4e54-ab14-920db80fbef9 · outbound

This paper cites As expected, the discrepancy in the CM is larger than that observed in the two MSMs.

Renormalizable Graph Embeddings For Multi-Scale Network Reconstruction As expected, the discrepancy in the CM is larger than that observed in the two MSMs

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:59:15.356576Z

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Observation 9f995b21-2b87-440d-a965-104d7ec67d1a · outbound

This paper cites Reconstruction, Resilience and Recov- ery of Socio-Economic Networks.

Renormalizable Graph Embeddings For Multi-Scale Network Reconstruction Reconstruction, Resilience and Recov- ery of Socio-Economic Networks

Reference 7

Resolution: verified exact; doi, observed 2026-08-05T14:59:15.324625Z

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Observation 5ef5b357-6ac1-4fd6-adb4-2653d316db3c · outbound

This paper cites an unresolved cited work.

Renormalizable Graph Embeddings For Multi-Scale Network Reconstruction Unresolved cited work

Reference 8

Resolution: unresolved; raw_fallback, observed 2026-08-05T14:59:15.299920Z

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Observation 7d9dd2eb-7dd3-403d-8b19-445da8967704 · outbound

This paper cites an unresolved cited work.

Renormalizable Graph Embeddings For Multi-Scale Network Reconstruction Unresolved cited work

Reference 9

Resolution: unresolved; raw_fallback, observed 2026-08-05T14:59:15.279663Z

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Observation fda57ae8-9ce1-4bf5-b0bd-f391c4258150 · outbound

This paper cites Garc ´ ıa-P´ erez, M.

Renormalizable Graph Embeddings For Multi-Scale Network Reconstruction Garc ´ ıa-P´ erez, M

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:59:15.260786Z

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Observation 8376c5d4-0a4b-4430-8d64-d0e462612e31 · outbound

This paper cites Cerina, Z.

Renormalizable Graph Embeddings For Multi-Scale Network Reconstruction Cerina, Z

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:59:15.226068Z

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Observation 589d2c69-5ed2-4d1b-9873-c2ceaf83aed0 · outbound

This paper cites Fagiolo, J.

Renormalizable Graph Embeddings For Multi-Scale Network Reconstruction Fagiolo, J

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:59:15.169757Z

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Observation 315634f1-69d8-4f7e-b2ff-fd07224fef1d · outbound

This paper cites Squartini, G.

Renormalizable Graph Embeddings For Multi-Scale Network Reconstruction Squartini, G

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:59:15.142791Z

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Observation d5d1e0ea-92dd-4be9-925f-27a9b03a85ff · outbound

This paper cites Squartini, G.

Renormalizable Graph Embeddings For Multi-Scale Network Reconstruction Squartini, G

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:59:15.113735Z

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Observation b2d6f6ae-fbc0-4196-96cc-180249692b31 · outbound

This paper cites Mastrandrea, T.

Renormalizable Graph Embeddings For Multi-Scale Network Reconstruction Mastrandrea, T

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:59:15.086757Z

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Observation f38d02eb-8a5b-441d-8da3-cd1d2c040ecc · outbound

This paper cites Caruso, G.

Renormalizable Graph Embeddings For Multi-Scale Network Reconstruction Caruso, G

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:59:15.063960Z

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Observation 763f7482-d033-4164-86a0-11fa41c3cdfc · outbound

This paper cites an unresolved cited work.

Renormalizable Graph Embeddings For Multi-Scale Network Reconstruction Unresolved cited work

Reference 17

Resolution: verified exact; doi, observed 2026-08-05T14:59:13.717381Z

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Observation 89b6e316-3521-4165-a6e5-9a9855bfd4aa · outbound

This paper cites Chanpuriya, C.

Renormalizable Graph Embeddings For Multi-Scale Network Reconstruction Chanpuriya, C

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:59:15.035801Z

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Observation 67ebf4b3-b9e1-479c-953a-741391a54b5d · outbound

This paper cites Chanpuriya, R.

Renormalizable Graph Embeddings For Multi-Scale Network Reconstruction Chanpuriya, R

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:59:15.011632Z

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Observation e8dc4436-b569-4d81-bdc0-ba9566b95432 · outbound

This paper cites Milocco, F.

Renormalizable Graph Embeddings For Multi-Scale Network Reconstruction Milocco, F

Reference 20

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Observation b4e6174d-ca08-4a32-aa30-b33e5456e9d1 · outbound

This paper cites Gabrielli, D.

Renormalizable Graph Embeddings For Multi-Scale Network Reconstruction Gabrielli, D

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-05T14:59:13.329075Z

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Observation eed0519b-5402-4f0e-8f8b-0630a39bf0ae · outbound

This paper cites Villegas, T.

Renormalizable Graph Embeddings For Multi-Scale Network Reconstruction Villegas, T

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:59:14.965401Z

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Observation be1baca4-ed80-4dc8-b856-a7fcf66571bd · outbound

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Renormalizable Graph Embeddings For Multi-Scale Network Reconstruction Unresolved cited work

Reference 23

Resolution: unresolved; raw_fallback, observed 2026-08-05T14:59:14.944379Z

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Observation a5074cb3-dc70-4e09-8457-c63392043df2 · outbound

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Renormalizable Graph Embeddings For Multi-Scale Network Reconstruction Unresolved cited work

Reference 24

Resolution: unresolved; raw_fallback, observed 2026-08-05T14:59:14.912622Z

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Observation a078b428-2cfa-4809-95cf-e41e1db0bb20 · outbound

This paper cites Garuccio, M.

Renormalizable Graph Embeddings For Multi-Scale Network Reconstruction Garuccio, M

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:59:14.882216Z

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Observation 3b886058-c8b9-4b0e-830a-3ec3f0351a6a · outbound

This paper cites Geometry-free renormalization of directed networks: scale-invariance and reciprocity.

Renormalizable Graph Embeddings For Multi-Scale Network Reconstruction Geometry-free renormalization of directed networks: scale-invariance and reciprocity

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-05T14:59:13.358633Z

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Observation 227ed947-6799-4603-96ce-e9987da2a253 · outbound

This paper cites Avena, D.

Renormalizable Graph Embeddings For Multi-Scale Network Reconstruction Avena, D

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-05T14:59:13.365458Z

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Observation c5b053c0-e4ba-44ce-b690-a50271f5a65f · outbound

This paper cites Multi-scale reconstruction of large supply networks.

Renormalizable Graph Embeddings For Multi-Scale Network Reconstruction Multi-scale reconstruction of large supply networks

Reference 28

Resolution: verified exact; local_arxiv, observed 2026-08-05T14:59:13.745831Z

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Observation a1b87e5d-01c1-4e7d-a403-f6def87645f7 · outbound

This paper cites an unresolved cited work.

Renormalizable Graph Embeddings For Multi-Scale Network Reconstruction Unresolved cited work

Reference 29

Resolution: unresolved; raw_fallback, observed 2026-08-05T14:59:14.858849Z

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Observation f74a9a5d-e70d-4c04-b795-7d55fd074b4a · outbound

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Renormalizable Graph Embeddings For Multi-Scale Network Reconstruction Unresolved cited work

Reference 30

Resolution: unresolved; raw_fallback, observed 2026-08-05T14:59:14.835815Z

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Observation e905408b-d80e-445c-a851-957b235dffa0 · outbound

This paper cites Squartini, G.

Renormalizable Graph Embeddings For Multi-Scale Network Reconstruction Squartini, G

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:59:14.803122Z

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Observation f9e40e04-08b8-4af9-8aa8-06c8403afbb8 · outbound

This paper cites Cimini, R.

Renormalizable Graph Embeddings For Multi-Scale Network Reconstruction Cimini, R

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:59:14.776215Z

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Observation 4f1554fe-5296-43aa-9677-7fd494a9b05a · outbound

This paper cites Mungo, A.

Renormalizable Graph Embeddings For Multi-Scale Network Reconstruction Mungo, A

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:59:14.749822Z

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Observation 702d9edb-34da-4e69-aa97-87faa144d924 · outbound

This paper cites an unresolved cited work.

Renormalizable Graph Embeddings For Multi-Scale Network Reconstruction Unresolved cited work

Reference 34

Resolution: unresolved; raw_fallback, observed 2026-08-05T14:59:14.714560Z

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Observation 05aedb57-a3a7-4a78-a277-a814bcf8e570 · outbound

This paper cites Park and M.

Renormalizable Graph Embeddings For Multi-Scale Network Reconstruction Park and M

Reference 35

Resolution: malformed identifier; no resolver link, observed 2026-08-05T14:59:13.413856Z

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Observation 03824b3b-b5dd-4f1d-8f2a-346bb3df892a · outbound

This paper cites Garlaschelli and M.

Renormalizable Graph Embeddings For Multi-Scale Network Reconstruction Garlaschelli and M

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:59:14.684129Z

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Observation df29b3d8-00be-4353-a7dd-95108ab5db66 · outbound

This paper cites Cimini, T.

Renormalizable Graph Embeddings For Multi-Scale Network Reconstruction Cimini, T

Reference 37

Resolution: malformed identifier; no resolver link, observed 2026-08-05T14:59:13.425959Z

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Observation 34fded56-15c7-4d6b-b5ce-b10b779544d2 · outbound

This paper cites Rosvall and C.

Renormalizable Graph Embeddings For Multi-Scale Network Reconstruction Rosvall and C

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:59:14.652365Z

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Observation 14e71d37-3a31-43a7-9cdd-950b5daf978d · outbound

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Renormalizable Graph Embeddings For Multi-Scale Network Reconstruction Unresolved cited work

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-05T14:59:13.439450Z

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Observation 2a9136ef-c534-4b37-9109-2a98c8a8fb27 · outbound

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Renormalizable Graph Embeddings For Multi-Scale Network Reconstruction Unresolved cited work

Reference 40

Resolution: unresolved; raw_fallback, observed 2026-08-05T14:59:14.617576Z

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Observation d362409b-7b93-4a9b-b494-0625a9c9bee5 · outbound

This paper cites ASSOCIATION, Naics code identification tools (2025).

Renormalizable Graph Embeddings For Multi-Scale Network Reconstruction ASSOCIATION, Naics code identification tools (2025)

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:59:14.599534Z

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Observation 28621a63-cfaf-4167-b47f-ddf11cef0733 · outbound

This paper cites Baptista, R.

Renormalizable Graph Embeddings For Multi-Scale Network Reconstruction Baptista, R

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:59:14.576820Z

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Observation f30a1810-562e-432d-bacd-3bb0d2c9eb53 · outbound

This paper cites Squartini and D.

Renormalizable Graph Embeddings For Multi-Scale Network Reconstruction Squartini and D

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:59:14.550568Z

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Observation 763e8a0d-c584-475d-bb9a-9e45c2d76c9b · outbound

This paper cites Virtanen, R.

Renormalizable Graph Embeddings For Multi-Scale Network Reconstruction Virtanen, R

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-05T14:59:13.468398Z

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Observation 0a005bbc-907f-406e-8b56-a253d02df650 · outbound

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Renormalizable Graph Embeddings For Multi-Scale Network Reconstruction Unresolved cited work

Reference 45

Resolution: unresolved; raw_fallback, observed 2026-08-05T14:59:14.514813Z

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Observation d2817243-d90b-4774-9a4c-f7f5997081e9 · outbound

This paper cites an unresolved cited work.

Renormalizable Graph Embeddings For Multi-Scale Network Reconstruction Unresolved cited work

Reference 46

Resolution: unresolved; raw_fallback, observed 2026-08-05T14:59:14.492186Z

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Observation 7a8db69b-69a1-46fa-b28b-82d0268f755f · outbound

This paper cites Mayer and S.

Renormalizable Graph Embeddings For Multi-Scale Network Reconstruction Mayer and S

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:59:14.466400Z

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Observation ae0372f7-fc1b-428a-abd5-784bd799cabe · outbound

This paper cites Fagiolo, J.

Renormalizable Graph Embeddings For Multi-Scale Network Reconstruction Fagiolo, J

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:59:14.446062Z

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Observation c5096a1f-6d66-4fb0-88af-92cb4256771a · outbound

This paper cites Di Vece, D.

Renormalizable Graph Embeddings For Multi-Scale Network Reconstruction Di Vece, D

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:59:14.423063Z

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Observation 461ad6eb-86fb-43bc-bb5c-850ae01cca61 · outbound

This paper cites Garlaschelli and M.

Renormalizable Graph Embeddings For Multi-Scale Network Reconstruction Garlaschelli and M

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:59:14.396306Z

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Observation 5691183a-91ed-4ef5-9f2e-e0ad75f07805 · outbound

This paper cites an unresolved cited work.

Renormalizable Graph Embeddings For Multi-Scale Network Reconstruction Unresolved cited work

Reference 51

Resolution: verified exact; doi, observed 2026-08-05T14:59:13.665629Z

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Observation 78be303e-1b33-4252-b214-dc71dd3d5cbc · outbound

This paper cites Cook and V.

Renormalizable Graph Embeddings For Multi-Scale Network Reconstruction Cook and V

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:59:14.375749Z

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Observation 52491104-9e00-4aff-b306-b579dba3f398 · outbound

This paper cites Davis and M.

Renormalizable Graph Embeddings For Multi-Scale Network Reconstruction Davis and M

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:59:14.344908Z

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

Observation 75f7ddac-32f5-4a21-b325-3f6c8a6bae0e · outbound

This paper cites Multi-Scale Network Reconstruction.

Renormalizable Graph Embeddings For Multi-Scale Network Reconstruction Multi-Scale Network Reconstruction

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:59:14.307804Z

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Observation 184d668a-2bac-4b3c-a7a4-7ab7fdf0792b · outbound

This paper cites Assuming having fixed the CM parameters at the bottom level, the upper-level model is obtained by means of the 2 RHS of the Equation B8.

Renormalizable Graph Embeddings For Multi-Scale Network Reconstruction Assuming having fixed the CM parameters at the bottom level, the upper-level model is obtained by means of the 2 RHS of the Equation B8

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:59:14.275100Z

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Observation e7ecb9ee-8869-443e-924c-8eb8111374a0 · outbound

This paper cites the activation function to be the same at every scale, we impose the block-parameters are the sum of their members parameters xA := (x0 + x1) and xB := x2 as for the MSM.

Renormalizable Graph Embeddings For Multi-Scale Network Reconstruction the activation function to be the same at every scale, we impose the block-parameters are the sum of their members parameters xA := (x0 + x1) and xB := x2 as for the MSM

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:59:14.254611Z

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Observation f4af73ef-1ac0-41b3-a2fa-d9e8d5dac257 · outbound

This paper cites The observed network is assumed to lay at the lowest level 0, whereas the higher scales ℓ ≥ 1 identify the coarser representations obtained by aggregating the level 0 graph.

Renormalizable Graph Embeddings For Multi-Scale Network Reconstruction The observed network is assumed to lay at the lowest level 0, whereas the higher scales ℓ ≥ 1 identify the coarser representations obtained by aggregating the level 0 graph

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:59:14.230878Z

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 2c129a5c-a206-426b-af5f-8e1d0965aaaf · outbound

This paper cites For this reason, the output model is called the degree-correctedMSM (degcMSM).

Renormalizable Graph Embeddings For Multi-Scale Network Reconstruction For this reason, the output model is called the degree-correctedMSM (degcMSM)

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:59:14.205053Z

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 4a2c6104-dc7d-43bf-a725-83fdaed0d9de · outbound

This paper cites However, it may happen that some nodes are deterministic, i.e.

Renormalizable Graph Embeddings For Multi-Scale Network Reconstruction However, it may happen that some nodes are deterministic, i.e

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:59:14.168668Z

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 599ba946-51b5-4271-a638-37fc8745c13e · outbound

This paper cites an unresolved cited work.

Renormalizable Graph Embeddings For Multi-Scale Network Reconstruction Unresolved cited work

Reference 60

Resolution: unresolved; raw_fallback, observed 2026-08-05T14:59:14.142742Z

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 b295a608-270b-4884-a9b1-aa05dfd6bc4b · outbound

This paper cites The crucial point is that, even if the CM is not theoretically scale-invariant (see section A 1), it may be numerically similar to the MSM.

Renormalizable Graph Embeddings For Multi-Scale Network Reconstruction The crucial point is that, even if the CM is not theoretically scale-invariant (see section A 1), it may be numerically similar to the MSM

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:59:14.116480Z

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 6b3a937c-df7e-4eee-975a-a882b9addc04 · outbound

This paper cites Technically, the first twos have the same functional form, while depending on the fitted and the summed parameters, respectively.

Renormalizable Graph Embeddings For Multi-Scale Network Reconstruction Technically, the first twos have the same functional form, while depending on the fitted and the summed parameters, respectively

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:59:14.091304Z

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 9237ae37-b4e0-4bac-ad5b-7d1694386c64 · outbound

This paper cites Formally, each of such measurements is a function Y (A) of an N × N adjacency matrix representing a graph G.

Renormalizable Graph Embeddings For Multi-Scale Network Reconstruction Formally, each of such measurements is a function Y (A) of an N × N adjacency matrix representing a graph G

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:59:14.069547Z

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 41d3a6e0-598b-47e3-9961-751ca4e3fa3c · outbound

This paper cites an unresolved cited work.

Renormalizable Graph Embeddings For Multi-Scale Network Reconstruction Unresolved cited work

Reference 64

Resolution: unresolved; raw_fallback, observed 2026-08-05T14:59:14.047444Z

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 73ac6fb6-6691-487c-8f56-a11bb458b967 · outbound

This paper cites an unresolved cited work.

Renormalizable Graph Embeddings For Multi-Scale Network Reconstruction Unresolved cited work

Reference 65

Resolution: unresolved; raw_fallback, observed 2026-08-05T14:59:14.020895Z

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 e23451f4-991f-4698-9a2a-62931d119d90 · outbound

This paper cites This measure is defined as the fraction of times an observed statistics Yi falls within the dispersion interval ∆c(⟨Yi⟩) (see section C 2).

Renormalizable Graph Embeddings For Multi-Scale Network Reconstruction This measure is defined as the fraction of times an observed statistics Yi falls within the dispersion interval ∆c(⟨Yi⟩) (see section C 2)

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:59:13.996628Z

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 10d68895-917d-41e8-a3f5-37566fdbd181 · outbound

This paper cites naive classifier.

Renormalizable Graph Embeddings For Multi-Scale Network Reconstruction naive classifier

Reference 67

Resolution: malformed identifier; raw_fallback, observed 2026-08-05T14:59:13.970996Z

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.

Coverage vector

Reference resolution

Outbound references

Pith citing papers