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Paper Citation Record · LEDGER

Generating social networks with static and dynamic utility-maximization approaches

As of 12 August 2026, this Paper Citation Record lists 46 of 46 outbound references and 0 inbound Pith citation observations for arXiv:2411.16464.

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

pith.paper-citation-record.v1
2411.16464 v1

Coverage vector

measured 46 of 46 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T13:14:33.713563Z

measured 46 of 46 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+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

46 of 46 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 93846d3a-0099-4f61-8848-31d2ebafc8ed · outbound

This paper cites an unresolved cited work.

Generating social networks with static and dynamic utility-maximization approaches Unresolved cited work

Reference 2

Resolution
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Source-reported events for the cited work

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This paper cites an unresolved cited work.

Generating social networks with static and dynamic utility-maximization approaches Unresolved cited work

Reference 3

Resolution
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Observation 723b2beb-13a7-4c9a-a353-21da42a64dd8 · outbound

This paper cites In addition, all generated networks verify pairwise stability [21] (see the supplementary materials for a proof).

Generating social networks with static and dynamic utility-maximization approaches In addition, all generated networks verify pairwise stability [21] (see the supplementary materials for a proof)

Reference 4

Resolution
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Source-reported events for the cited work

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This paper cites an unresolved cited work.

Generating social networks with static and dynamic utility-maximization approaches Unresolved cited work

Reference 5

Resolution
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This paper cites Moreover, α∗∗ the solution of the associated SOP, verifies: ∀(i, j) ∈ J1..N K2, α∗∗ i,j = (αmax {i,j})∗ min {i,j} D.

Generating social networks with static and dynamic utility-maximization approaches Moreover, α∗∗ the solution of the associated SOP, verifies: ∀(i, j) ∈ J1..N K2, α∗∗ i,j = (αmax {i,j})∗ min {i,j} D

Reference 7

Resolution
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This paper cites an unresolved cited work.

Generating social networks with static and dynamic utility-maximization approaches Unresolved cited work

Reference 8

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Source-reported events for the cited work

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Observation 88ad5a34-be21-4459-9568-f93d485bed14 · outbound

This paper cites Barab´ asi and R.

Generating social networks with static and dynamic utility-maximization approaches Barab´ asi and R

Reference 9

Resolution
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Observation b9166b40-9b76-4990-814e-fcd2b99ce770 · outbound

This paper cites Hamill and N.

Generating social networks with static and dynamic utility-maximization approaches Hamill and N

Reference 10

Resolution
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Source-reported events for the cited work

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Generating social networks with static and dynamic utility-maximization approaches Unresolved cited work

Reference 11

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Observation 2fa93d65-b38f-468f-9403-465b80217f62 · outbound

This paper cites Erling, A.

Generating social networks with static and dynamic utility-maximization approaches Erling, A

Reference 12

Resolution
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Observation 9a844bb6-7165-4751-a7ca-e72ed85c8c75 · outbound

This paper cites Zhuge, C.

Generating social networks with static and dynamic utility-maximization approaches Zhuge, C

Reference 13

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This paper cites an unresolved cited work.

Generating social networks with static and dynamic utility-maximization approaches Unresolved cited work

Reference 14

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Observation 0e9791f1-ec7c-404f-8469-9cf7872a207a · outbound

This paper cites an unresolved cited work.

Generating social networks with static and dynamic utility-maximization approaches Unresolved cited work

Reference 15

Resolution
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Observation 9b0e0229-f2d8-4880-8476-6d48a2cd58b1 · outbound

This paper cites Duchemin and Y.

Generating social networks with static and dynamic utility-maximization approaches Duchemin and Y

Reference 16

Resolution
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Observation abe12638-d2f1-43c7-83e1-d9575ac9dd10 · outbound

This paper cites Krioukov, Clustering implies geometry in networks, Physical review letters 116, 208302 (2016).

Generating social networks with static and dynamic utility-maximization approaches Krioukov, Clustering implies geometry in networks, Physical review letters 116, 208302 (2016)

Reference 17

Resolution
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Observation 19e24f3e-026a-4eb5-a255-432e0ba84ace · outbound

This paper cites Homophily as a Process Generating Social Networks: Insights from Social Distance Attachment Model.

Generating social networks with static and dynamic utility-maximization approaches Homophily as a Process Generating Social Networks: Insights from Social Distance Attachment Model

Reference 18

Resolution
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Observation a1023e3f-96a2-4fed-bb51-26269ddca503 · outbound

This paper cites Iijima, R.

Generating social networks with static and dynamic utility-maximization approaches Iijima, R

Reference 19

Resolution
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Observation 6c20da4b-c455-4e3a-86ed-7ca384671189 · outbound

This paper cites Latent Space Network Modelling with Hyperbolic and Spherical Geometries.

Generating social networks with static and dynamic utility-maximization approaches Latent Space Network Modelling with Hyperbolic and Spherical Geometries

Reference 20

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Observation 228af32d-4e01-486e-8cd1-05bd013f5f81 · outbound

This paper cites an unresolved cited work.

Generating social networks with static and dynamic utility-maximization approaches Unresolved cited work

Reference 21

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Generating social networks with static and dynamic utility-maximization approaches Unresolved cited work

Reference 22

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Source-reported events for the cited work

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Generating social networks with static and dynamic utility-maximization approaches De Caux, C

Reference 23

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Generating social networks with static and dynamic utility-maximization approaches Klopp, A

Reference 24

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Generating social networks with static and dynamic utility-maximization approaches Klopp and N

Reference 25

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Observation a5f17cc9-60de-4e9b-b24d-d386f6250279 · outbound

This paper cites an unresolved cited work.

Generating social networks with static and dynamic utility-maximization approaches Unresolved cited work

Reference 26

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Generating social networks with static and dynamic utility-maximization approaches Unresolved cited work

Reference 27

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Generating social networks with static and dynamic utility-maximization approaches Hellmann and M

Reference 28

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Generating social networks with static and dynamic utility-maximization approaches Unresolved cited work

Reference 29

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Generating social networks with static and dynamic utility-maximization approaches Unresolved cited work

Reference 30

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This paper cites Bonacich, Power and centrality: A family of measures, American journal of sociology 92, 1170 (1987).

Generating social networks with static and dynamic utility-maximization approaches Bonacich, Power and centrality: A family of measures, American journal of sociology 92, 1170 (1987)

Reference 31

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This paper cites Tesfatsion, A trade network game with endogenous partner selection, in Computational approaches to eco- nomic problems (Springer, 1997) pp.

Generating social networks with static and dynamic utility-maximization approaches Tesfatsion, A trade network game with endogenous partner selection, in Computational approaches to eco- nomic problems (Springer, 1997) pp

Reference 32

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Generating social networks with static and dynamic utility-maximization approaches Unresolved cited work

Reference 33

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This paper cites Kunegis, KONECT – The Koblenz Network Collec- tion, in Proc.

Generating social networks with static and dynamic utility-maximization approaches Kunegis, KONECT – The Koblenz Network Collec- tion, in Proc

Reference 34

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Generating social networks with static and dynamic utility-maximization approaches Unresolved cited work

Reference 35

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Observation ac40f8ba-686e-4eaa-84f7-2230a23bc245 · outbound

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Generating social networks with static and dynamic utility-maximization approaches Unresolved cited work

Reference 36

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 7f19963b-77d4-4f80-88db-c817cb104219 · outbound

This paper cites Johnson, Epidemic modelling requires knowledge of the social network, Journal of Physics: Complexity 5, 01LT01 (2024).

Generating social networks with static and dynamic utility-maximization approaches Johnson, Epidemic modelling requires knowledge of the social network, Journal of Physics: Complexity 5, 01LT01 (2024)

Reference 37

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T13:14:33.665192Z digest=sha256:4a17d0d25313d6815f8699cf4b45089176f74593babb0235c4cf1f31a1118be8

Observation 8f9a3def-851d-4989-9d33-66abf06fb597 · outbound

This paper cites For a given I ∈ N∗, a utility function U (α, C) is an element of UI , the set of applications U : RI−1 × (R∗ +)I−1 − →R with [0, 1) ⊆ R ⊆R, and RI−1 convex.

Generating social networks with static and dynamic utility-maximization approaches For a given I ∈ N∗, a utility function U (α, C) is an element of UI , the set of applications U : RI−1 × (R∗ +)I−1 − →R with [0, 1) ⊆ R ⊆R, and RI−1 convex

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:14:33.968810Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T13:14:33.668884Z digest=sha256:e95c99e89039216626bcbc23c1d828ab87f0192ae368299e798809a2ea1a1b58

Observation aa116277-4344-44fa-af31-616419c4e787 · outbound

This paper cites an unresolved cited work.

Generating social networks with static and dynamic utility-maximization approaches Unresolved cited work

Reference 39

Resolution
unresolved
raw_fallback, observed 2026-08-12T13:14:33.958026Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T13:14:33.673190Z digest=sha256:e1111506bd176b8f5049303a064d41a86a145c23a7e82f610f6fce332c672213

Observation 8581c0dc-8aa7-42ca-ba61-8069de5df0e5 · outbound

This paper cites ∀i, ∂U ∂αi = H(ci, αi) + S(α) 3.

Generating social networks with static and dynamic utility-maximization approaches ∀i, ∂U ∂αi = H(ci, αi) + S(α) 3

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:14:33.946073Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T13:14:33.677614Z digest=sha256:f5a800bfbbd2bc41ff8e1fa12a8171892e893c194e77840e3513931eb0e20e7a

Observation d67c3587-382c-4836-b6de-daf5f4d72649 · outbound

This paper cites For a given individuals graph GN (I , α, C), we define for all individual i ∈ J1..N K the Individual Optimization Problem (IOP) as: ( argmaxαi Ui(αi, Ci) s.t.

Generating social networks with static and dynamic utility-maximization approaches For a given individuals graph GN (I , α, C), we define for all individual i ∈ J1..N K the Individual Optimization Problem (IOP) as: ( argmaxαi Ui(αi, Ci) s.t

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:14:33.933963Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T13:14:33.681827Z digest=sha256:4061b6c9fa663274cd05529d9b215ce25c7cea722837b3c56998cfd14b3e9226

Observation c9b16d4d-582a-4007-a321-fcdbc3c73e8e · outbound

This paper cites ∀i ∈ J1..N K, Ci ∈ S (¯c), with S (¯c) the symmetric group of ¯c.

Generating social networks with static and dynamic utility-maximization approaches ∀i ∈ J1..N K, Ci ∈ S (¯c), with S (¯c) the symmetric group of ¯c

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:14:34.306922Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T13:14:33.686656Z digest=sha256:c25b0436c88207dfbe758940d6b1392a827db25348bb8a1a3bc9eb2642bd6c59

Observation cadf3426-3a6d-4338-92cd-ef3aad40bf3d · outbound

This paper cites Moreover, α∗∗ the solution of the associated SOP, verifies: ∀(i, j) ∈ J1..N K2, α∗∗ i,j = (αmax {i,j})∗ min {i,j} Proof (Theorem 8).

Generating social networks with static and dynamic utility-maximization approaches Moreover, α∗∗ the solution of the associated SOP, verifies: ∀(i, j) ∈ J1..N K2, α∗∗ i,j = (αmax {i,j})∗ min {i,j} Proof (Theorem 8)

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:14:33.920996Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T13:14:33.691406Z digest=sha256:4f31a1c6f4a29347af90e0dab65f59290eb6ddb96f4284e1b4bbd298d2e955a3

Observation fcda397e-192c-4571-bbc5-573f2a6320c1 · outbound

This paper cites an unresolved cited work.

Generating social networks with static and dynamic utility-maximization approaches Unresolved cited work

Reference 44

Resolution
unresolved
raw_fallback, observed 2026-08-12T13:14:34.342938Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T13:14:33.696888Z digest=sha256:0e085e8588c8829ed1e313f1cb067aa6690e434a3294ed7c121bb32aac3c62f6

Observation 5c80a84d-330a-4e2c-8de5-928fe7249ebf · outbound

This paper cites C = ( C ∈ (R∗ +)nI , c ij ∈ ( {¯cij} if αij > 0 (0, ¯cij] if αij = 0 ) Proof (Theorem 9).

Generating social networks with static and dynamic utility-maximization approaches C = ( C ∈ (R∗ +)nI , c ij ∈ ( {¯cij} if αij > 0 (0, ¯cij] if αij = 0 ) Proof (Theorem 9)

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:14:33.908328Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T13:14:33.700884Z digest=sha256:7e637cea2b6f33c40b14402a46d2dca83b2bebc51aa34eea7d0dcdcfed080831

Observation 1fb8e300-d43c-433b-aad0-9c0c35dc3b80 · outbound

This paper cites an unresolved cited work.

Generating social networks with static and dynamic utility-maximization approaches Unresolved cited work

Reference 46

Resolution
unresolved
raw_fallback, observed 2026-08-12T13:14:33.895728Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T13:14:33.704683Z digest=sha256:e8a9d3ef046eb18860272a6dffdad6c4a399551930e730cbd7584240d543ab1d

Observation 762549e6-96b4-4963-9f7d-6ab0fe42e259 · outbound

This paper cites Every graph G(I , α, C) that is solution of the Social Optimization Problem (Definition 10) is pair- wise stable.

Generating social networks with static and dynamic utility-maximization approaches Every graph G(I , α, C) that is solution of the Social Optimization Problem (Definition 10) is pair- wise stable

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:14:33.883078Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T13:14:33.708814Z digest=sha256:5b278b3ab3aaf211a0d27c174b21db9b13ac8f340da02ef037fb5a27744f78a0

Observation aa36d775-d427-4c71-b212-64b535338950 · outbound

This paper cites an unresolved cited work.

Generating social networks with static and dynamic utility-maximization approaches Unresolved cited work

Reference 48

Resolution
unresolved
raw_fallback, observed 2026-08-12T13:14:33.871305Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T13:14:33.713563Z digest=sha256:53df66f1e90e087b181400843ffd50d2e4c39cb3ee7e27e7a193824ebed0fcc1

Pith citing papers

No inbound Pith citation observations are available.