Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-15T22:09:16.661704Z
Paper Citation Record · LEDGER
The Geography of Transportation Cybersecurity: Visitor Flows, Industry Clusters, and Spatial Dynamics
As of 19 August 2026, this Paper Citation Record lists 61 of 61 outbound references and 0 inbound Pith citation observations for arXiv:2505.08822.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+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
Reference resolution
61 of 61 outbound references displayed
- verified exact1
- verified fuzzy54
- unresolved6
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation cb6813b9-0ec3-4312-a5d4-263828a0509a · outbound
This paper cites Cybersecurity regulatory challenges for connected and automated vehicles–state-of-the-art and future directions.
The Geography of Transportation Cybersecurity: Visitor Flows, Industry Clusters, and Spatial Dynamics Cybersecurity regulatory challenges for connected and automated vehicles–state-of-the-art and future directions
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T22:09:17.698918Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation b103843a-35ed-438d-b065-405c5c3bb348 · outbound
This paper cites Cybersecurity in Transportation Systems: Policies and Technology Directions.
The Geography of Transportation Cybersecurity: Visitor Flows, Industry Clusters, and Spatial Dynamics Cybersecurity in Transportation Systems: Policies and Technology Directions
Reference 2
- Resolution
- verified exact
- local_arxiv, observed 2026-08-15T22:09:16.778170Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 08540b63-d236-4ee0-b469-b286f2cd4c6e · outbound
This paper cites Bringing business clusters into the mainstream of economic development.
The Geography of Transportation Cybersecurity: Visitor Flows, Industry Clusters, and Spatial Dynamics Bringing business clusters into the mainstream of economic development
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T22:09:17.683391Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation fb950fef-6b33-4b42-ac82-8e384330be11 · outbound
This paper cites High-technology development in regional economic growth: Policy implications of dynamic externalities.
The Geography of Transportation Cybersecurity: Visitor Flows, Industry Clusters, and Spatial Dynamics High-technology development in regional economic growth: Policy implications of dynamic externalities
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T22:09:17.668047Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 53d5a47b-5d5c-4204-8923-ff1a36db8546 · outbound
This paper cites The impact of regional innovative clusters on competitiveness.
The Geography of Transportation Cybersecurity: Visitor Flows, Industry Clusters, and Spatial Dynamics The impact of regional innovative clusters on competitiveness
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T22:09:17.653536Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 6b5ed488-fe10-4fca-90d1-46240056b970 · outbound
This paper cites Global value chains from an evolutionary economic geography perspective: a research agenda.
The Geography of Transportation Cybersecurity: Visitor Flows, Industry Clusters, and Spatial Dynamics Global value chains from an evolutionary economic geography perspective: a research agenda
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T22:09:17.637183Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation eb6772a2-d6d6-4d96-8d47-85eff71e5579 · outbound
This paper cites Inter-industry labor flows.
The Geography of Transportation Cybersecurity: Visitor Flows, Industry Clusters, and Spatial Dynamics Inter-industry labor flows
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T22:09:17.621645Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation e14e6b8d-aad3-4276-9dfb-5d8f8a7ce51c · outbound
This paper cites The social consequences of transport decision-making: clarifying concepts, synthesising knowledge and assessing implications.
The Geography of Transportation Cybersecurity: Visitor Flows, Industry Clusters, and Spatial Dynamics The social consequences of transport decision-making: clarifying concepts, synthesising knowledge and assessing implications
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T22:09:17.607118Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation e83a5cdd-038a-4532-97c3-a03f7424182d · outbound
This paper cites Digital entrepreneurial ecosystems: A sys- tematic literature review.
The Geography of Transportation Cybersecurity: Visitor Flows, Industry Clusters, and Spatial Dynamics Digital entrepreneurial ecosystems: A sys- tematic literature review
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T22:09:17.590750Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation b2dc264d-5222-4fd9-b70b-525947b78482 · outbound
This paper cites Regional resilience and the network structure of inter-industry labour flows.
The Geography of Transportation Cybersecurity: Visitor Flows, Industry Clusters, and Spatial Dynamics Regional resilience and the network structure of inter-industry labour flows
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T22:09:17.575919Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation a86d33b3-a95c-4511-affb-c7bc12e064d9 · outbound
This paper cites Principles of economics, 8-(edition.
The Geography of Transportation Cybersecurity: Visitor Flows, Industry Clusters, and Spatial Dynamics Principles of economics, 8-(edition
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T22:09:17.560853Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 2f5d1a5c-a1ef-4652-9f05-bc647468e447 · outbound
This paper cites The new argonauts: Regional advantage in a global economy.
The Geography of Transportation Cybersecurity: Visitor Flows, Industry Clusters, and Spatial Dynamics The new argonauts: Regional advantage in a global economy
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T22:09:17.546156Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 6d37538d-5825-4d27-ba85-e413c9779942 · outbound
This paper cites Sticky places in slippery space: a typology of industrial districts.
The Geography of Transportation Cybersecurity: Visitor Flows, Industry Clusters, and Spatial Dynamics Sticky places in slippery space: a typology of industrial districts
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T22:09:17.529519Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation dee26a17-6820-4759-9374-a42cbee2e88a · outbound
This paper cites The social structure of entrepreneurial activity: Geographic concentration of footwear production in the united states, 1940–1989.
The Geography of Transportation Cybersecurity: Visitor Flows, Industry Clusters, and Spatial Dynamics The social structure of entrepreneurial activity: Geographic concentration of footwear production in the united states, 1940–1989
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T22:09:17.514238Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation e6a3695f-fe69-446c-a4d3-8becf5d99781 · outbound
This paper cites Evolving connection of transit, ag- glomeration, and growth of high-technology business clusters.
The Geography of Transportation Cybersecurity: Visitor Flows, Industry Clusters, and Spatial Dynamics Evolving connection of transit, ag- glomeration, and growth of high-technology business clusters
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T22:09:17.495335Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation d06578e5-cec8-41a1-90d2-d5d2087df6df · outbound
This paper cites The comparative advantage of nations, 1990.
The Geography of Transportation Cybersecurity: Visitor Flows, Industry Clusters, and Spatial Dynamics The comparative advantage of nations, 1990
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T22:09:17.475598Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 79fa6f3c-11fb-43e0-b244-f34e85298c1d · outbound
This paper cites The economic geography of talent.
The Geography of Transportation Cybersecurity: Visitor Flows, Industry Clusters, and Spatial Dynamics The economic geography of talent
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T22:09:17.450251Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 41eddbac-9134-4a15-bdca-55895073c2f4 · outbound
This paper cites Spatial divisions of labour: Social structures and the geography of production.
The Geography of Transportation Cybersecurity: Visitor Flows, Industry Clusters, and Spatial Dynamics Spatial divisions of labour: Social structures and the geography of production
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T22:09:17.433947Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 8a3cf994-95b9-4aff-92d9-9dbba8b447dc · outbound
This paper cites The regional world: territorial development in a global economy.
The Geography of Transportation Cybersecurity: Visitor Flows, Industry Clusters, and Spatial Dynamics The regional world: territorial development in a global economy
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T22:09:17.419269Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 78f8ae01-60d8-41a8-9d18-1d04a20c8b82 · outbound
This paper cites Spatial data and analytical approaches.
The Geography of Transportation Cybersecurity: Visitor Flows, Industry Clusters, and Spatial Dynamics Spatial data and analytical approaches
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T22:09:17.404031Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 5a3c9ad9-c8ec-4901-8fc2-cbbf5c0c2338 · outbound
This paper cites The colocation quotient: A new measure of spatial association between categorical subsets of points.
The Geography of Transportation Cybersecurity: Visitor Flows, Industry Clusters, and Spatial Dynamics The colocation quotient: A new measure of spatial association between categorical subsets of points
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T22:09:17.387828Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation e80f91a1-fb31-412b-8318-61e580c5c273 · outbound
This paper cites Detecting industry clusters from the bottom up based on co-location patterns mining: A case study in dongguan, china.
The Geography of Transportation Cybersecurity: Visitor Flows, Industry Clusters, and Spatial Dynamics Detecting industry clusters from the bottom up based on co-location patterns mining: A case study in dongguan, china
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T22:09:17.371745Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation eabfa3ee-91aa-4244-8a05-740662ed387c · outbound
This paper cites Spatial spillovers of ag- glomeration economies and productivity in the tourism industry: The case of the uk.
The Geography of Transportation Cybersecurity: Visitor Flows, Industry Clusters, and Spatial Dynamics Spatial spillovers of ag- glomeration economies and productivity in the tourism industry: The case of the uk
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T22:09:17.353030Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 7067080f-de6d-44f2-9a18-e0816a73c084 · outbound
This paper cites Big data analytics, artificial in- telligence, machine learning, internet of things, and blockchain for enhanced business intelligence.
The Geography of Transportation Cybersecurity: Visitor Flows, Industry Clusters, and Spatial Dynamics Big data analytics, artificial in- telligence, machine learning, internet of things, and blockchain for enhanced business intelligence
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T22:09:17.334631Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 654b8d49-8052-424b-bd0c-c98ad104c2ca · outbound
This paper cites Vector autoregressive models for multivariate time series.
The Geography of Transportation Cybersecurity: Visitor Flows, Industry Clusters, and Spatial Dynamics Vector autoregressive models for multivariate time series
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T22:09:17.317563Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation bf9395ad-1224-4d68-a8d5-50b703dc78c2 · outbound
This paper cites Time series forecasting using a hybrid arima and neural network model.
The Geography of Transportation Cybersecurity: Visitor Flows, Industry Clusters, and Spatial Dynamics Time series forecasting using a hybrid arima and neural network model
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T22:09:17.298224Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 5b50ce94-512d-4c1c-bcd0-b19c777e7e19 · outbound
This paper cites Short-term traffic flow forecasting with spatial-temporal correlation in a hybrid deep learning framework.
The Geography of Transportation Cybersecurity: Visitor Flows, Industry Clusters, and Spatial Dynamics Short-term traffic flow forecasting with spatial-temporal correlation in a hybrid deep learning framework
Reference 27
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T22:09:16.513168Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8997edb4-1a0c-4f41-8936-2366a10fb345 · outbound
This paper cites Learning dynamic and hierarchical traffic spa- tiotemporal features with transformer.
The Geography of Transportation Cybersecurity: Visitor Flows, Industry Clusters, and Spatial Dynamics Learning dynamic and hierarchical traffic spa- tiotemporal features with transformer
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T22:09:17.279365Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 94cdde54-4b6c-47e9-b824-821cbdb2408e · outbound
This paper cites A multi- head attention-based transformer model for traffic flow forecasting with a comparative analysis to recurrent neural networks.
The Geography of Transportation Cybersecurity: Visitor Flows, Industry Clusters, and Spatial Dynamics A multi- head attention-based transformer model for traffic flow forecasting with a comparative analysis to recurrent neural networks
Reference 29
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T22:09:17.256720Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 28c9857a-cdef-4195-9631-4d70bc52410f · outbound
This paper cites Dnn-based prediction model for spatio-temporal data.
The Geography of Transportation Cybersecurity: Visitor Flows, Industry Clusters, and Spatial Dynamics Dnn-based prediction model for spatio-temporal data
Reference 30
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T22:09:17.239569Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 34aeb228-e63b-49fa-966c-1626e2745af5 · outbound
This paper cites Augmentation-free graph contrastive learning of invariant-discriminative representations.
The Geography of Transportation Cybersecurity: Visitor Flows, Industry Clusters, and Spatial Dynamics Augmentation-free graph contrastive learning of invariant-discriminative representations
Reference 31
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T22:09:17.222485Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 270b0946-fdcb-4b5c-b658-ef02d19ae6c5 · outbound
This paper cites Identification and factor analysis of rocky desertification severity levels in large-scale karst areas based on deep learning image segmentation.
The Geography of Transportation Cybersecurity: Visitor Flows, Industry Clusters, and Spatial Dynamics Identification and factor analysis of rocky desertification severity levels in large-scale karst areas based on deep learning image segmentation
Reference 32
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T22:09:17.202793Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation aa17ee36-1380-4a93-9513-6f19f9ee2d9a · outbound
This paper cites Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting.
The Geography of Transportation Cybersecurity: Visitor Flows, Industry Clusters, and Spatial Dynamics Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting
Reference 33
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T22:09:16.539726Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 21d7cf5c-de82-40cb-bb6c-65522bb35dd9 · outbound
This paper cites T-gcn: A temporal graph convolutional network for traffic prediction.
The Geography of Transportation Cybersecurity: Visitor Flows, Industry Clusters, and Spatial Dynamics T-gcn: A temporal graph convolutional network for traffic prediction
Reference 34
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T22:09:16.544312Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 23a5f4a0-01db-4408-9732-f3b51dfdd5eb · outbound
This paper cites Spatial-temporal synchronous graph convolutional networks: A new framework for spatial-temporal network data forecasting.
The Geography of Transportation Cybersecurity: Visitor Flows, Industry Clusters, and Spatial Dynamics Spatial-temporal synchronous graph convolutional networks: A new framework for spatial-temporal network data forecasting
Reference 35
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T22:09:17.175454Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 17940e3d-107c-4c57-b20d-e907e391addb · outbound
This paper cites Spatio-temporal graph structure learning for traffic forecasting.
The Geography of Transportation Cybersecurity: Visitor Flows, Industry Clusters, and Spatial Dynamics Spatio-temporal graph structure learning for traffic forecasting
Reference 36
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T22:09:17.160816Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation e41cbe66-4d12-4a21-be8c-43081802da3a · outbound
This paper cites Stgc- gnns: A gnn-based traffic prediction framework with a spatial–temporal granger causality graph.
The Geography of Transportation Cybersecurity: Visitor Flows, Industry Clusters, and Spatial Dynamics Stgc- gnns: A gnn-based traffic prediction framework with a spatial–temporal granger causality graph
Reference 37
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T22:09:17.146211Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 7f523f43-944d-4642-a675-b6e21cd29aa1 · outbound
This paper cites St-dagcn: A spatiotemporal dual adaptive graph convolutional network model for traffic prediction.
The Geography of Transportation Cybersecurity: Visitor Flows, Industry Clusters, and Spatial Dynamics St-dagcn: A spatiotemporal dual adaptive graph convolutional network model for traffic prediction
Reference 38
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T22:09:17.130496Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 3b400828-d3a1-4002-a9b9-e465f70ed2c0 · outbound
This paper cites Sat-gcn: Self-attention graph convolutional network-based 3d object detection for au- tonomous driving.
The Geography of Transportation Cybersecurity: Visitor Flows, Industry Clusters, and Spatial Dynamics Sat-gcn: Self-attention graph convolutional network-based 3d object detection for au- tonomous driving
Reference 39
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T22:09:17.115275Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 52177a2f-c715-4e1a-b708-b76dc4ae78d1 · outbound
This paper cites Attention is all you need.
The Geography of Transportation Cybersecurity: Visitor Flows, Industry Clusters, and Spatial Dynamics Attention is all you need
Reference 40
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T22:09:17.099010Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 89425cc7-05da-4606-bffd-e5da872dd80d · outbound
This paper cites Semi-Supervised Classification with Graph Convolutional Networks.
The Geography of Transportation Cybersecurity: Visitor Flows, Industry Clusters, and Spatial Dynamics Semi-Supervised Classification with Graph Convolutional Networks
Reference 41
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T22:09:16.574714Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e714f2c3-35c6-461f-a761-6a0397eb6f8a · outbound
This paper cites Data clustering: application and trends.
The Geography of Transportation Cybersecurity: Visitor Flows, Industry Clusters, and Spatial Dynamics Data clustering: application and trends
Reference 42
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T22:09:17.083576Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation b4a18ddf-e617-42f8-9c84-fab9cc4bef44 · outbound
This paper cites Why do industries cluster.
The Geography of Transportation Cybersecurity: Visitor Flows, Industry Clusters, and Spatial Dynamics Why do industries cluster
Reference 43
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T22:09:17.069034Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation d31585bb-eeb6-4b3e-8280-4bee3338ace6 · outbound
This paper cites How bad is crime for business? evidence from consumer behavior.
The Geography of Transportation Cybersecurity: Visitor Flows, Industry Clusters, and Spatial Dynamics How bad is crime for business? evidence from consumer behavior
Reference 44
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T22:09:17.052992Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 0b35c7a0-153e-4bac-bcee-4fa8982d7d6f · outbound
This paper cites Industry clusters and employment outcomes in washington state.
The Geography of Transportation Cybersecurity: Visitor Flows, Industry Clusters, and Spatial Dynamics Industry clusters and employment outcomes in washington state
Reference 45
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T22:09:17.037483Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 72daf076-cfe8-412b-93f9-e61da7ebf2dd · outbound
This paper cites The effects of industry structure on economic exposure.
The Geography of Transportation Cybersecurity: Visitor Flows, Industry Clusters, and Spatial Dynamics The effects of industry structure on economic exposure
Reference 46
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T22:09:17.022266Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 51876391-39ba-4cc2-a25f-130027bca859 · outbound
This paper cites The effect of regional economic clusters on housing price.
The Geography of Transportation Cybersecurity: Visitor Flows, Industry Clusters, and Spatial Dynamics The effect of regional economic clusters on housing price
Reference 47
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T22:09:17.006640Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 927e6e5d-53e2-4636-aacd-b22a0756a17e · outbound
This paper cites A cluster separation measure.
The Geography of Transportation Cybersecurity: Visitor Flows, Industry Clusters, and Spatial Dynamics A cluster separation measure
Reference 48
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T22:09:16.990579Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 27ac89b8-b90d-4a6d-b99c-fba0654f8a23 · outbound
This paper cites The analysis of spatial association by use of distance statistics.
The Geography of Transportation Cybersecurity: Visitor Flows, Industry Clusters, and Spatial Dynamics The analysis of spatial association by use of distance statistics
Reference 49
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T22:09:16.975216Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation bef6b8e3-f3da-4089-b3fe-a9a51334ecab · outbound
This paper cites Joint Shapley values: a measure of joint feature importance.
The Geography of Transportation Cybersecurity: Visitor Flows, Industry Clusters, and Spatial Dynamics Joint Shapley values: a measure of joint feature importance
Reference 50
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T22:09:16.613751Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 93b1955a-0d9a-4bfe-a48e-886b2eda150d · outbound
This paper cites Geoshapley: A game theory approach to measuring spatial effects in machine learning models.
The Geography of Transportation Cybersecurity: Visitor Flows, Industry Clusters, and Spatial Dynamics Geoshapley: A game theory approach to measuring spatial effects in machine learning models
Reference 51
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T22:09:16.957196Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 298bde5b-368b-485f-bcf5-3a4ac51cea0e · outbound
This paper cites Determinants of supplier plant location: Evidence from the auto industry.
The Geography of Transportation Cybersecurity: Visitor Flows, Industry Clusters, and Spatial Dynamics Determinants of supplier plant location: Evidence from the auto industry
Reference 52
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T22:09:16.940294Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 0cc65c70-45af-4668-86b2-77f0a2da8f27 · outbound
This paper cites Agglomeration and industrial location: An econometric analysis of japanese- affiliated manufacturing establishments in automotive-related industries.
The Geography of Transportation Cybersecurity: Visitor Flows, Industry Clusters, and Spatial Dynamics Agglomeration and industrial location: An econometric analysis of japanese- affiliated manufacturing establishments in automotive-related industries
Reference 53
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T22:09:16.921398Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation adcf0d9c-5cd5-4728-a10c-79fcd8c265ed · outbound
This paper cites Intra-industry trade: Transportation needs of growing texas industries.
The Geography of Transportation Cybersecurity: Visitor Flows, Industry Clusters, and Spatial Dynamics Intra-industry trade: Transportation needs of growing texas industries
Reference 54
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T22:09:16.905192Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation c4273f4a-b063-4cd7-b819-eed8d72e1f03 · outbound
This paper cites Recent trends in manufacturing innovation policy for the automotive sector: A survey of the united states, mexico, european union, germany and spain.
The Geography of Transportation Cybersecurity: Visitor Flows, Industry Clusters, and Spatial Dynamics Recent trends in manufacturing innovation policy for the automotive sector: A survey of the united states, mexico, european union, germany and spain
Reference 55
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T22:09:16.890277Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 0c970c65-b77b-45cd-9e98-15f202adb1fe · outbound
This paper cites Xgboost: A scalable tree boosting system.
The Geography of Transportation Cybersecurity: Visitor Flows, Industry Clusters, and Spatial Dynamics Xgboost: A scalable tree boosting system
Reference 56
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T22:09:16.639729Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fe1b3325-0405-4682-ba2e-ad866834e29d · outbound
This paper cites Knowledge flows through social networks in a cluster: Comparing uni- versity and industry links.
The Geography of Transportation Cybersecurity: Visitor Flows, Industry Clusters, and Spatial Dynamics Knowledge flows through social networks in a cluster: Comparing uni- versity and industry links
Reference 57
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T22:09:16.862329Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation a0576dc4-80cf-4645-8de2-807164f1fec3 · outbound
This paper cites Logistics cluster and its future development: A comprehensive research review.
The Geography of Transportation Cybersecurity: Visitor Flows, Industry Clusters, and Spatial Dynamics Logistics cluster and its future development: A comprehensive research review
Reference 58
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T22:09:16.845239Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 64e305cc-584c-448d-a8f7-4f5ed16e56b3 · outbound
This paper cites The co-location of innovation and production in clusters.
The Geography of Transportation Cybersecurity: Visitor Flows, Industry Clusters, and Spatial Dynamics The co-location of innovation and production in clusters
Reference 59
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T22:09:16.829172Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation ac06a1b2-0c73-4c02-bebb-744b0588190a · outbound
This paper cites Logistics agglomeration and logistics productivity in the usa.
The Geography of Transportation Cybersecurity: Visitor Flows, Industry Clusters, and Spatial Dynamics Logistics agglomeration and logistics productivity in the usa
Reference 60
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T22:09:16.812214Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation dd8d5d88-c532-4b34-8c20-0950fe7de855 · outbound
This paper cites Impacts of logistics sprawl on the urban environment and logistics: Taxonomy and review of literature.
The Geography of Transportation Cybersecurity: Visitor Flows, Industry Clusters, and Spatial Dynamics Impacts of logistics sprawl on the urban environment and logistics: Taxonomy and review of literature
Reference 61
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T22:09:16.795057Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Pith citing papers
No inbound Pith citation observations are available.