Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-06T11:38:18.534404Z
Paper Citation Record · LEDGER
Accident-Driven Congestion Prediction and Simulation: An Explainable Framework Using Advanced Clustering and Bayesian Networks
As of 18 August 2026, this Paper Citation Record lists 18 of 18 outbound references and 0 inbound Pith citation observations for arXiv:2507.22529.
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 2026-08-18T06:34:40.430872+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
18 of 18 outbound references displayed
- verified exact0
- verified fuzzy16
- unresolved2
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 6e930c1b-960e-4510-95b7-33a5fafb7a77 · outbound
This paper cites Machine learning approaches to traffic accident analysis and hotspot prediction,.
Accident-Driven Congestion Prediction and Simulation: An Explainable Framework Using Advanced Clustering and Bayesian Networks Machine learning approaches to traffic accident analysis and hotspot prediction,
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T11:38:18.775508Z
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 df771b06-68f6-45c4-8c32-aff673ba20b7 · outbound
This paper cites A probabilistic estimation of traffic congestion using bayesian network,.
Accident-Driven Congestion Prediction and Simulation: An Explainable Framework Using Advanced Clustering and Bayesian Networks A probabilistic estimation of traffic congestion using bayesian network,
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T11:38:18.764044Z
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 f6c0b192-6026-434d-8103-96114f0892e2 · outbound
This paper cites Traffic congestion propagation inference using dynamic bayesian graph convo- lution network,.
Accident-Driven Congestion Prediction and Simulation: An Explainable Framework Using Advanced Clustering and Bayesian Networks Traffic congestion propagation inference using dynamic bayesian graph convo- lution network,
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T11:38:18.751344Z
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 73e9d394-2667-4ee5-adb4-9a34108d81d0 · outbound
This paper cites Bayesian network for analysis and prediction of traffic congestion using the accident data.
Accident-Driven Congestion Prediction and Simulation: An Explainable Framework Using Advanced Clustering and Bayesian Networks Bayesian network for analysis and prediction of traffic congestion using the accident data
Reference 4
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T11:38:18.476395Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 617a7bd7-7e1f-4cfc-aa50-ac084382d329 · outbound
This paper cites Intensity of traffic due to road accidents in us: A predictive model,.
Accident-Driven Congestion Prediction and Simulation: An Explainable Framework Using Advanced Clustering and Bayesian Networks Intensity of traffic due to road accidents in us: A predictive model,
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T11:38:18.733411Z
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 8ec511d9-01fc-458f-affa-7d618cb5444c · outbound
This paper cites Rfcnn: Traffic accident severity pre- diction based on decision level fusion of machine and deep learning model,.
Accident-Driven Congestion Prediction and Simulation: An Explainable Framework Using Advanced Clustering and Bayesian Networks Rfcnn: Traffic accident severity pre- diction based on decision level fusion of machine and deep learning model,
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T11:38:18.722129Z
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 c2ebca5b-b381-4225-8e99-249b6c1eae95 · outbound
This paper cites Clustering algorithms to analyze the road traffic crashes,.
Accident-Driven Congestion Prediction and Simulation: An Explainable Framework Using Advanced Clustering and Bayesian Networks Clustering algorithms to analyze the road traffic crashes,
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T11:38:18.709959Z
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 30e206db-98b0-49db-9bb9-e2fa51ccdf0e · outbound
This paper cites Identifying typical pre-crash scenarios based on in-depth crash data with deep embedded clustering for autonomous vehicle safety testing,.
Accident-Driven Congestion Prediction and Simulation: An Explainable Framework Using Advanced Clustering and Bayesian Networks Identifying typical pre-crash scenarios based on in-depth crash data with deep embedded clustering for autonomous vehicle safety testing,
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T11:38:18.694973Z
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 47600a0a-f087-4ca3-9dde-6aeb41295032 · outbound
This paper cites Optimal ambulance positioning for road accidents with deep embedded clustering,.
Accident-Driven Congestion Prediction and Simulation: An Explainable Framework Using Advanced Clustering and Bayesian Networks Optimal ambulance positioning for road accidents with deep embedded clustering,
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T11:38:18.681686Z
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 a7179be5-ed3f-4eae-98c8-85f3bd10b4a2 · outbound
This paper cites Determinants of the congestion caused by a traffic accident in urban road networks,.
Accident-Driven Congestion Prediction and Simulation: An Explainable Framework Using Advanced Clustering and Bayesian Networks Determinants of the congestion caused by a traffic accident in urban road networks,
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T11:38:18.670022Z
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 cb7ff85c-f521-4f8d-9a99-4791286d1079 · outbound
This paper cites Exploring the spatial effects on the level of congestion caused by traffic accidents in urban road networks: A case study of beijing,.
Accident-Driven Congestion Prediction and Simulation: An Explainable Framework Using Advanced Clustering and Bayesian Networks Exploring the spatial effects on the level of congestion caused by traffic accidents in urban road networks: A case study of beijing,
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T11:38:18.657959Z
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 3abef1e0-2f93-4750-a6cc-fc68d5a55ff3 · outbound
This paper cites Impact of accidents on traffic con- gestions: A bayesian network approach using real city data,.
Accident-Driven Congestion Prediction and Simulation: An Explainable Framework Using Advanced Clustering and Bayesian Networks Impact of accidents on traffic con- gestions: A bayesian network approach using real city data,
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T11:38:18.644593Z
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 df937f62-20ae-4daa-a556-6f180046899f · outbound
This paper cites Exploring road traffic accidents hotspots using clus- tering algorithms and gis-based spatial analysis,.
Accident-Driven Congestion Prediction and Simulation: An Explainable Framework Using Advanced Clustering and Bayesian Networks Exploring road traffic accidents hotspots using clus- tering algorithms and gis-based spatial analysis,
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T11:38:18.631910Z
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 e66492a3-233f-4e95-96c0-6b335abbb3e9 · outbound
This paper cites Short- term traffic prediction based on deepcluster in large-scale road networks,.
Accident-Driven Congestion Prediction and Simulation: An Explainable Framework Using Advanced Clustering and Bayesian Networks Short- term traffic prediction based on deepcluster in large-scale road networks,
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T11:38:18.620608Z
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 544a16b0-01e0-47a2-a376-0cafd5a14b89 · outbound
This paper cites Upper Mid-Band Spectrum for 6G: Vision, Opportunity and Challenges.
Accident-Driven Congestion Prediction and Simulation: An Explainable Framework Using Advanced Clustering and Bayesian Networks Upper Mid-Band Spectrum for 6G: Vision, Opportunity and Challenges
Reference 15
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T11:38:18.522258Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5ca7143b-1cfb-4415-93e2-b566029a15c1 · outbound
This paper cites Accident risk prediction based on het- erogeneous sparse data: New dataset and insights,.
Accident-Driven Congestion Prediction and Simulation: An Explainable Framework Using Advanced Clustering and Bayesian Networks Accident risk prediction based on het- erogeneous sparse data: New dataset and insights,
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T11:38:18.608255Z
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 3b1aa2ee-a710-4311-a2fc-23810573a8a4 · outbound
This paper cites Bayesian networks and influence diagrams,.
Accident-Driven Congestion Prediction and Simulation: An Explainable Framework Using Advanced Clustering and Bayesian Networks Bayesian networks and influence diagrams,
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T11:38:18.595593Z
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 e2aaeb1c-a182-40d6-847a-c15f7cb4d787 · outbound
This paper cites A markov traffic model for signalized traffic networks based on bayesian estimation,.
Accident-Driven Congestion Prediction and Simulation: An Explainable Framework Using Advanced Clustering and Bayesian Networks A markov traffic model for signalized traffic networks based on bayesian estimation,
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T11:38:18.582342Z
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.
Pith citing papers
No inbound Pith citation observations are available.