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Paper Citation Record · LEDGER

Boundary Degree as a Node-level Feature for Epidemic Scenario Identification in Agent-based Cascade Simulations

As of 7 August 2026, this Paper Citation Record lists 21 of 21 outbound references and 0 inbound Pith citation observations for arXiv:2606.29596.

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

pith.paper-citation-record.v1
2606.29596 v2

Coverage vector

measured 21 of 21 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-12T10:53:12.299848Z

measured 21 of 21 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

21 of 21 outbound references displayed

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Outbound references

Observation e11d3c33-d942-433e-ae09-166df733afcd · outbound

This paper cites Synthetic population for USA_VIRGINIA.

Boundary Degree as a Node-level Feature for Epidemic Scenario Identification in Agent-based Cascade Simulations Synthetic population for USA_VIRGINIA

Reference 1

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Observation 20e0aae7-6eec-4d0c-a2c8-8e6cabe46cc2 · outbound

This paper cites Deep learning for supervised classification of spatial epidemics.

Boundary Degree as a Node-level Feature for Epidemic Scenario Identification in Agent-based Cascade Simulations Deep learning for supervised classification of spatial epidemics

Reference 2

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Observation ae0a3d6e-4e3e-46a3-b925-30d2c52f485d · outbound

This paper cites How Attentive are Graph Attention Networks?.

Boundary Degree as a Node-level Feature for Epidemic Scenario Identification in Agent-based Cascade Simulations How Attentive are Graph Attention Networks?

Reference 3

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Observation 8e0c6ba2-f74d-49ae-92da-0a95fa487262 · outbound

This paper cites Epihiper—A high performance computational modeling framework to support epidemic science.

Boundary Degree as a Node-level Feature for Epidemic Scenario Identification in Agent-based Cascade Simulations Epihiper—A high performance computational modeling framework to support epidemic science

Reference 4

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source=pdf_text observed=2026-07-12T10:53:12.299848Z digest=sha256:0384d180983b32257d2be337ed2a03d2eb112a090b6555a46ac1d616fa8965bd

Observation 55b4ff1c-3d6d-43b6-a9af-b776bf908478 · outbound

This paper cites Can Cascades be Predicted?.

Boundary Degree as a Node-level Feature for Epidemic Scenario Identification in Agent-based Cascade Simulations Can Cascades be Predicted?

Reference 5

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Observation 6d946c1d-ce84-45d3-8ed5-33a4ecb0b4af · outbound

This paper cites Differentiable Agent- based Epidemiology.

Boundary Degree as a Node-level Feature for Epidemic Scenario Identification in Agent-based Cascade Simulations Differentiable Agent- based Epidemiology

Reference 6

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source=pdf_text observed=2026-07-12T10:53:12.299848Z digest=sha256:b157083468470ce50def4d64aa648ec75ee022f4147225c564dba2a3d8a0e17c

Observation 309be18b-61a9-43af-abc6-25cd751ad9ea · outbound

This paper cites Neural Message Passing for Quantum Chemistry.

Boundary Degree as a Node-level Feature for Epidemic Scenario Identification in Agent-based Cascade Simulations Neural Message Passing for Quantum Chemistry

Reference 7

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source=pdf_text observed=2026-07-12T10:53:12.299848Z digest=sha256:bf54f7a68634ceb9f6c715dd320d6ba233a22c89798504d51ea1dfd55e2bd55f

Observation e475f018-97af-4e12-9867-98077a2fec30 · outbound

This paper cites High-Accuracy Approximation of Binary-State Dynamics on Networks.

Boundary Degree as a Node-level Feature for Epidemic Scenario Identification in Agent-based Cascade Simulations High-Accuracy Approximation of Binary-State Dynamics on Networks

Reference 8

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source=pdf_text observed=2026-07-12T10:53:12.299848Z digest=sha256:763f91fd024b0866598f99bac82ad8f9f6324a31ee0d97a3e564db11f186e0a2

Observation ccd1bb92-0c32-4460-b7fc-11f3af43a8d8 · outbound

This paper cites Inductive representation learning on large graphs.

Boundary Degree as a Node-level Feature for Epidemic Scenario Identification in Agent-based Cascade Simulations Inductive representation learning on large graphs

Reference 9

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source=pdf_text observed=2026-07-12T10:53:12.299848Z digest=sha256:886ef45c89e7293cf6895722ab23e42b995ca4415d9821074e7723944b08728d

Observation 78df40ff-42da-4b86-836a-209c156eeebd · outbound

This paper cites Identifying Complicated Contagion Scenarios from Cascade Data.

Boundary Degree as a Node-level Feature for Epidemic Scenario Identification in Agent-based Cascade Simulations Identifying Complicated Contagion Scenarios from Cascade Data

Reference 10

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source=pdf_text observed=2026-07-12T10:53:12.299848Z digest=sha256:e4263dacc9ea31efd10792193759a1c85ada35ea7e1c24b2e99ca47e0297838a

Observation bdc0f1f2-aec9-47ac-9029-db8e3953594e · outbound

This paper cites Cascade2vec: Learning Dynamic Cascade Representation by Recurrent Graph Neural Networks.

Boundary Degree as a Node-level Feature for Epidemic Scenario Identification in Agent-based Cascade Simulations Cascade2vec: Learning Dynamic Cascade Representation by Recurrent Graph Neural Networks

Reference 11

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source=pdf_text observed=2026-07-12T10:53:12.299848Z digest=sha256:10703eecab3395af589c53d862c92dee8fed552cc36e0b51717bf5cf355e402d

Observation 4e58977c-5123-4496-bbe9-c3c8bff0bb29 · outbound

This paper cites Theory of Graph Neural Networks: Representation and Learning.

Boundary Degree as a Node-level Feature for Epidemic Scenario Identification in Agent-based Cascade Simulations Theory of Graph Neural Networks: Representation and Learning

Reference 12

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source=pdf_text observed=2026-07-12T10:53:12.299848Z digest=sha256:c28f8ea6e005624312eb6fbc1690f7692253eabcb438a6fdc6ff150423ad2ff0

Observation 1c449d30-f55e-433b-af83-dba4682b86c7 · outbound

This paper cites Maximizing the spread of influence through a social network.

Boundary Degree as a Node-level Feature for Epidemic Scenario Identification in Agent-based Cascade Simulations Maximizing the spread of influence through a social network

Reference 13

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source=pdf_text observed=2026-07-12T10:53:12.299848Z digest=sha256:028d0f08dca905259013a88bd3cf1ff48e4facad6b2314a8c8f9ff6f5278d466

Observation 52a0baae-7269-4cef-891d-9f36ec4325e3 · outbound

This paper cites A contribution to the mathematical theory of epidemics.

Boundary Degree as a Node-level Feature for Epidemic Scenario Identification in Agent-based Cascade Simulations A contribution to the mathematical theory of epidemics

Reference 14

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Observation 63ea84b3-fe42-4fba-9733-6b19ae39545a · outbound

This paper cites Effective degree network disease models.

Boundary Degree as a Node-level Feature for Epidemic Scenario Identification in Agent-based Cascade Simulations Effective degree network disease models

Reference 15

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Observation cdf46aca-f470-4cef-b17e-580383c651cb · outbound

This paper cites EoN (Epidemics on Networks): a fast, flexible Python package for simulation, analytic approximation, and analysis of epidemics on networks.

Boundary Degree as a Node-level Feature for Epidemic Scenario Identification in Agent-based Cascade Simulations EoN (Epidemics on Networks): a fast, flexible Python package for simulation, analytic approximation, and analysis of epidemics on networks

Reference 16

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Observation 69ec7291-de7a-4228-ac10-185810acfa20 · outbound

This paper cites A Dirichlet process model for classifying and forecasting epidemic curves.

Boundary Degree as a Node-level Feature for Epidemic Scenario Identification in Agent-based Cascade Simulations A Dirichlet process model for classifying and forecasting epidemic curves

Reference 17

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source=pdf_text observed=2026-07-12T10:53:12.299848Z digest=sha256:0a4d071fbb4c8f5f82f37994045cb9b9fff4065f2d0cc7c73306a731cdaf4296

Observation 7f6b36de-09ae-426a-aed1-ac702d059ccb · outbound

This paper cites Supervised learning and prediction of spatial epidemics.

Boundary Degree as a Node-level Feature for Epidemic Scenario Identification in Agent-based Cascade Simulations Supervised learning and prediction of spatial epidemics

Reference 18

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Observation 680c3636-49b5-492b-a4e4-cbf2679fd019 · outbound

This paper cites Spotting Culprits in Epidemics: How Many and Which Ones?.

Boundary Degree as a Node-level Feature for Epidemic Scenario Identification in Agent-based Cascade Simulations Spotting Culprits in Epidemics: How Many and Which Ones?

Reference 19

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source=pdf_text observed=2026-07-12T10:53:12.299848Z digest=sha256:2f4ee821d3284eea653ebd203f915fc54c04b1fe240292280d5801dd5bc06f5f

Observation 3052732a-d49c-49f7-97d4-0e599c6b0315 · outbound

This paper cites The perceptron: A probabilistic model for information storage and organization in the brain.

Boundary Degree as a Node-level Feature for Epidemic Scenario Identification in Agent-based Cascade Simulations The perceptron: A probabilistic model for information storage and organization in the brain

Reference 20

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source=pdf_text observed=2026-07-12T10:53:12.299848Z digest=sha256:5d95aef69a8fea91559a45ac93d7262cf14935f180bf9ccdd1ce5d81996c2153

Observation d9fd353f-6b78-4257-995a-de067ea7b11a · outbound

This paper cites Behavioural change models for infectious disease transmission: a systematic review (2010–2015).

Boundary Degree as a Node-level Feature for Epidemic Scenario Identification in Agent-based Cascade Simulations Behavioural change models for infectious disease transmission: a systematic review (2010–2015)

Reference 21

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