Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-07T05:59:02.031627Z
Paper Citation Record · LEDGER
As of 8 August 2026, this Paper Citation Record lists 16 of 16 outbound references and 0 inbound Pith citation observations for arXiv:2506.06513.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-07T05:59:02.031627Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
16 of 16 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 9ca8df22-f7e4-42ac-9ce7-ae891ca375a6 · outbound
A Benchmarking Framework for Network Classification Methods Networks: An introduction by mej newman: Oxford, uk: Oxford university press
Reference 1
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 00d684a4-6e77-41b8-9491-4783292a197a · outbound
A Benchmarking Framework for Network Classification Methods Information diffusion epidemics in social networks
Reference 2
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation a25a3a72-9ef7-47bc-b267-8927a2c94f9d · outbound
A Benchmarking Framework for Network Classification Methods Modeling information diffusion over social networks for temporal dynamic prediction
Reference 3
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation c62df731-515c-4f6c-b053-f351c7ae4d9a · outbound
A Benchmarking Framework for Network Classification Methods Information diffusion and external influence in networks
Reference 4
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 364b9ad8-a91b-4b49-b65f-ef8caef692cb · outbound
A Benchmarking Framework for Network Classification Methods On the evolution of random graphs.Publ
Reference 5
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation fc75f20e-76be-4208-90e6-9c215e4f7638 · outbound
A Benchmarking Framework for Network Classification Methods Emergence of scaling in random networks.science, 286(5439):509–512, 1999
Reference 6
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3e3298b6-4c26-4093-967c-83a8819b0234 · outbound
A Benchmarking Framework for Network Classification Methods Collective dynamics of ‘small-world’networks.nature, 393(6684):440–442, 1998
Reference 7
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ad9afbfd-f512-4607-b7e3-1d8929ef37a4 · outbound
A Benchmarking Framework for Network Classification Methods Exploring spatio-temporal dynamics of cellular automata for pattern recognition in networks.Scientific Reports, 6(1):37329, 2016
Reference 8
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 5b1192ae-4359-4ec0-9131-6387d4140430 · outbound
A Benchmarking Framework for Network Classification Methods Unresolved cited work
Reference 9
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation feddedce-c901-4997-934a-c8725877a58b · outbound
A Benchmarking Framework for Network Classification Methods Deterministic walks as an algorithm of pattern recognition.Physical Review E—Statistical, Nonlinear, and Soft Matter Physics, 74(2):026703, 2006
Reference 10
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 9c5546e3-04f6-4365-abd5-bd8a2c4628fd · outbound
A Benchmarking Framework for Network Classification Methods Complex network classification using partially self-avoiding deterministic walks.Chaos: An Interdisciplinary Journal of Nonlinear Science, 22(3), 2012
Reference 11
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 381e0783-084d-462a-82ec-ae6cc88b0bf4 · outbound
A Benchmarking Framework for Network Classification Methods Using deterministic self-avoiding walks as a small-world metric on watts–strogatz networks.Physica A: Statistical Mechanics and its Applications, 621:128713, 2023
Reference 12
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation ec603387-1b0d-43b9-95ef-15103093a674 · outbound
A Benchmarking Framework for Network Classification Methods Texture analysis and classification using deterministic tourist walk.Pattern Recognition, 43(3):685–694, 2010
Reference 13
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation a91834e0-537e-4162-bb38-e089fee096ed · outbound
A Benchmarking Framework for Network Classification Methods Pattern recognition on networks using bifurcated deterministic self-avoiding walks.Chaos, Solitons & Fractals, 194:116100, 2025
Reference 14
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation da5ebfc3-c046-438e-b2ce-086b02903b52 · outbound
A Benchmarking Framework for Network Classification Methods graph2vec: Learning Distributed Representations of Graphs
Reference 15
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 73bc309b-0ea7-44e8-a098-7a6e6859f04f · outbound
A Benchmarking Framework for Network Classification Methods Weisfeiler-lehman graph kernels.Journal of Machine Learning Research, 12(9), 2011
Reference 16
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
No inbound Pith citation observations are available.