Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-09T05:24:44.837738Z
Paper Citation Record · LEDGER
Bayesian network approach to building an affective module for a driver behavioural model
As of 22 August 2026, this Paper Citation Record lists 13 of 13 outbound references and 0 inbound Pith citation observations for arXiv:2502.03254.
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 2026-08-22T06:32:14.747728+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
13 of 13 outbound references displayed
- verified exact0
- verified fuzzy13
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 42cab1c1-c891-4f1e-b1cd-29a3e4216ea0 · outbound
This paper cites From Bayesian Networks to Causal Networks.
Bayesian network approach to building an affective module for a driver behavioural model From Bayesian Networks to Causal Networks
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-09T05:24:44.999310Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation b964ce90-23d4-424e-aa6f-85c9798e65cf · outbound
This paper cites Bayesian Networks,.
Bayesian network approach to building an affective module for a driver behavioural model Bayesian Networks,
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-09T05:24:44.988957Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation f647f9fa-4f58-499f-bc81-5e2af5503518 · outbound
This paper cites The BATmobile: Towards a Bayesian automated taxi,.
Bayesian network approach to building an affective module for a driver behavioural model The BATmobile: Towards a Bayesian automated taxi,
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-09T05:24:44.978844Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 73fd8fc2-a0c5-43ea-bbee-2d9aabac3966 · outbound
This paper cites Driver Behavior Modeling Toward Au- tonomous Vehicles: Comprehensive Review,.
Bayesian network approach to building an affective module for a driver behavioural model Driver Behavior Modeling Toward Au- tonomous Vehicles: Comprehensive Review,
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-09T05:24:44.968870Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation e20d6ad5-4dbf-48d9-9edb-3e6732e1b39d · outbound
This paper cites A model for reasoning about persistence and causation,.
Bayesian network approach to building an affective module for a driver behavioural model A model for reasoning about persistence and causation,
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-09T05:24:44.958707Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 74314e7b-c29a-4bbc-afa0-84c8b0ce4a27 · outbound
This paper cites Core Statistics.
Bayesian network approach to building an affective module for a driver behavioural model Core Statistics
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-09T05:24:44.948394Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 2fdee421-159c-4d86-b149-389a2d146da0 · outbound
This paper cites Quantification of uncertainty and its applications to complex domain for autonomous vehicles percep- tion system,.
Bayesian network approach to building an affective module for a driver behavioural model Quantification of uncertainty and its applications to complex domain for autonomous vehicles percep- tion system,
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-09T05:24:44.938090Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 49d60510-ba7b-459a-b47c-9a1304add4f0 · outbound
This paper cites The analysis of driver’s behavioral tendency under different emotional states based on a Bayesian network,.
Bayesian network approach to building an affective module for a driver behavioural model The analysis of driver’s behavioral tendency under different emotional states based on a Bayesian network,
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-09T05:24:44.927211Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation ee0bfa33-0dd2-49ca-9c71-be7576e93e60 · outbound
This paper cites Driver fatigue evaluation model with integration of multi-indicators based on dynamic Bayesian network,.
Bayesian network approach to building an affective module for a driver behavioural model Driver fatigue evaluation model with integration of multi-indicators based on dynamic Bayesian network,
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-09T05:24:44.915628Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 2e1524dc-1053-489c-989e-83d573e4c776 · outbound
This paper cites A driver fatigue recognition model based on information fusion and dynamic Bayesian network,.
Bayesian network approach to building an affective module for a driver behavioural model A driver fatigue recognition model based on information fusion and dynamic Bayesian network,
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-09T05:24:44.903383Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation d43ee1f0-3b43-4078-acff-f13b4b242631 · outbound
This paper cites and Pivik, K., ”Age and gender differences in risky driving: the roles of positive affect and risk perception,” *Accid.
Bayesian network approach to building an affective module for a driver behavioural model and Pivik, K., ”Age and gender differences in risky driving: the roles of positive affect and risk perception,” *Accid
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-09T05:24:44.891806Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 6d8d70bc-b8de-47e7-8fbd-23d5bcb879bd · outbound
This paper cites Learning Bayesian Networks with the bnlearn R Package,.
Bayesian network approach to building an affective module for a driver behavioural model Learning Bayesian Networks with the bnlearn R Package,
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-09T05:24:44.880930Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 63359bb0-7f1d-4f7b-9787-87953758a41b · outbound
This paper cites The Bayesian information criterion: Background, derivation, and applications,.
Bayesian network approach to building an affective module for a driver behavioural model The Bayesian information criterion: Background, derivation, and applications,
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-09T05:24:44.869308Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Pith citing papers
No inbound Pith citation observations are available.