Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-14T14:50:11.482750Z
Paper Citation Record · LEDGER
Strengthening the Case for a Bayesian Approach to Car-following Model Calibration and Validation using Probabilistic Programming
As of 16 August 2026, this Paper Citation Record lists 24 of 24 outbound references and 0 inbound Pith citation observations for arXiv:1908.02427.
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 2026-08-16T06:30:59.297886+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
24 of 24 outbound references displayed
- verified exact1
- verified fuzzy21
- unresolved1
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External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 899bf487-86bb-4a56-9725-7c35c520e4b1 · outbound
This paper cites Trends of transportation simulation and modeling based on a selection of exploratory advanced research projects: Workshop summary report,.
Strengthening the Case for a Bayesian Approach to Car-following Model Calibration and Validation using Probabilistic Programming Trends of transportation simulation and modeling based on a selection of exploratory advanced research projects: Workshop summary report,
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T14:50:11.877381Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 723cd2fe-c7a5-4f81-8163-d50b59885132 · outbound
This paper cites A case for online traffic simulation: Systematic procedure to calibrate car-following models using vehicle data,.
Strengthening the Case for a Bayesian Approach to Car-following Model Calibration and Validation using Probabilistic Programming A case for online traffic simulation: Systematic procedure to calibrate car-following models using vehicle data,
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T14:50:11.862565Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 71c3d75e-4750-4317-8e6c-12a555b363ab · outbound
This paper cites Improving the efficacy of car-following models with a new stochastic parameter estimation and calibration method,.
Strengthening the Case for a Bayesian Approach to Car-following Model Calibration and Validation using Probabilistic Programming Improving the efficacy of car-following models with a new stochastic parameter estimation and calibration method,
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T14:50:11.846909Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 376c8551-9cc5-48e7-8efb-7ac58a168396 · outbound
This paper cites Combining field data and computer simulations for calibration and prediction,.
Strengthening the Case for a Bayesian Approach to Car-following Model Calibration and Validation using Probabilistic Programming Combining field data and computer simulations for calibration and prediction,
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T14:50:11.831381Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation fe777667-89e3-4c60-bcc4-4c85c8362029 · outbound
This paper cites Simple, Distributed, and Accelerated Probabilistic Programming.
Strengthening the Case for a Bayesian Approach to Car-following Model Calibration and Validation using Probabilistic Programming Simple, Distributed, and Accelerated Probabilistic Programming
Reference 5
- Resolution
- verified exact
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation bdbe05f2-b670-442f-89a7-e17f3213a7a4 · outbound
This paper cites Assessing uncertainties in traffic simulation: A key component in model calibration and validation,.
Strengthening the Case for a Bayesian Approach to Car-following Model Calibration and Validation using Probabilistic Programming Assessing uncertainties in traffic simulation: A key component in model calibration and validation,
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T14:50:11.814870Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation e057a84c-cd94-4258-b42f-8b82dd94230b · outbound
This paper cites Statistical inverse analysis for a network microsimulator,.
Strengthening the Case for a Bayesian Approach to Car-following Model Calibration and Validation using Probabilistic Programming Statistical inverse analysis for a network microsimulator,
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T14:50:11.799603Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation bbc9ea07-b10f-40cd-87c3-28c6c578f951 · outbound
This paper cites A cross-entropy method and probabilistic sensitivity analysis framework for calibrating microscopic traffic models,.
Strengthening the Case for a Bayesian Approach to Car-following Model Calibration and Validation using Probabilistic Programming A cross-entropy method and probabilistic sensitivity analysis framework for calibrating microscopic traffic models,
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T14:50:11.784750Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation fd14b671-1a66-415b-8189-ba5eba6f72fe · outbound
This paper cites Congested traffic states in empirical observations and microscopic simulations,.
Strengthening the Case for a Bayesian Approach to Car-following Model Calibration and Validation using Probabilistic Programming Congested traffic states in empirical observations and microscopic simulations,
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T14:50:11.770739Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation e2f6bd8f-14e3-4ec9-bb87-44d215b3c535 · outbound
This paper cites A simplified car-following theory: a lower order model,.
Strengthening the Case for a Bayesian Approach to Car-following Model Calibration and Validation using Probabilistic Programming A simplified car-following theory: a lower order model,
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T14:50:11.755313Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation b1fb6215-e182-452e-99f5-fcfa41042e76 · outbound
This paper cites A survey of probabilistic models using the bayesian programming methodology as a unifying framework,.
Strengthening the Case for a Bayesian Approach to Car-following Model Calibration and Validation using Probabilistic Programming A survey of probabilistic models using the bayesian programming methodology as a unifying framework,
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T14:50:11.741117Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 3728b651-eda4-414e-980b-a471be28a9d2 · outbound
This paper cites A maximization technique occurring in the statistical analysis of probabilistic functions of markov chains,.
Strengthening the Case for a Bayesian Approach to Car-following Model Calibration and Validation using Probabilistic Programming A maximization technique occurring in the statistical analysis of probabilistic functions of markov chains,
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T14:50:11.725681Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation c17c5925-c537-49ab-a323-396217b49dc7 · outbound
This paper cites Probabilistic program- ming in python using pymc3,.
Strengthening the Case for a Bayesian Approach to Car-following Model Calibration and Validation using Probabilistic Programming Probabilistic program- ming in python using pymc3,
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T14:50:11.710768Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 50fabf30-dc5c-4534-adc3-58eee904ba7f · outbound
This paper cites A probabilistic model checking analysis of vehicular ad-hoc networks,.
Strengthening the Case for a Bayesian Approach to Car-following Model Calibration and Validation using Probabilistic Programming A probabilistic model checking analysis of vehicular ad-hoc networks,
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T14:50:11.695183Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 90f35b09-313b-4e47-abde-7bc503252198 · outbound
This paper cites A behavioural car-following model for computer simula- tion,.
Strengthening the Case for a Bayesian Approach to Car-following Model Calibration and Validation using Probabilistic Programming A behavioural car-following model for computer simula- tion,
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T14:50:11.680163Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation ecba3647-ba77-4865-b486-f607929a5209 · outbound
This paper cites Barcelo, Fundamentals of Traffic Simulation , 01 2010.
Strengthening the Case for a Bayesian Approach to Car-following Model Calibration and Validation using Probabilistic Programming Barcelo, Fundamentals of Traffic Simulation , 01 2010
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T14:50:11.664240Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 6cea3ed2-a775-4f46-87c4-7d21a2a13874 · outbound
This paper cites Flow: Deep reinforcement learning for control in sumo,.
Strengthening the Case for a Bayesian Approach to Car-following Model Calibration and Validation using Probabilistic Programming Flow: Deep reinforcement learning for control in sumo,
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T14:50:11.649322Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 3da895f3-bd1b-4624-9029-d4e2ca18089a · outbound
This paper cites Gelman, Prior Distribution.
Strengthening the Case for a Bayesian Approach to Car-following Model Calibration and Validation using Probabilistic Programming Gelman, Prior Distribution
Reference 19
- Resolution
- malformed identifier
- raw_fallback, observed 2026-08-14T14:50:11.633640Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation c36f515e-8a30-4ee5-8301-e49bd037c593 · outbound
This paper cites A simple and global optimization al- gorithm for engineering problems: Differential evolution algorithm,.
Strengthening the Case for a Bayesian Approach to Car-following Model Calibration and Validation using Probabilistic Programming A simple and global optimization al- gorithm for engineering problems: Differential evolution algorithm,
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T14:50:11.617365Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 0dea32bb-c11f-454e-8a4d-e34b1fc3c729 · outbound
This paper cites Asymptotic equivalence of bayes cross validation and widely applicable information criterion in singular learning theory,.
Strengthening the Case for a Bayesian Approach to Car-following Model Calibration and Validation using Probabilistic Programming Asymptotic equivalence of bayes cross validation and widely applicable information criterion in singular learning theory,
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T14:50:11.602580Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 4b3cc7be-87f2-4422-bd93-1690a018b3f8 · outbound
This paper cites Practical bayesian model evaluation using leave-one-out cross-validation and waic,.
Strengthening the Case for a Bayesian Approach to Car-following Model Calibration and Validation using Probabilistic Programming Practical bayesian model evaluation using leave-one-out cross-validation and waic,
Reference 22
- Resolution
- unresolved
- no resolver link, observed 2026-08-14T14:50:11.469373Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 704bc100-75f8-4f3e-878d-0921c2e0afe0 · outbound
This paper cites Methods to explore driving behavior heterogeneity using shrp2 naturalistic driving study trajectory-level driving data,.
Strengthening the Case for a Bayesian Approach to Car-following Model Calibration and Validation using Probabilistic Programming Methods to explore driving behavior heterogeneity using shrp2 naturalistic driving study trajectory-level driving data,
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T14:50:11.586744Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 8870e179-fefd-4136-877e-49ed99bdc7ad · outbound
This paper cites Statistical model criticism using kernel two sample tests,.
Strengthening the Case for a Bayesian Approach to Car-following Model Calibration and Validation using Probabilistic Programming Statistical model criticism using kernel two sample tests,
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T14:50:11.570190Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation c9f61192-5017-4916-a897-6d0c5f6acba1 · outbound
This paper cites Available: http://dl.acm.org/citation.cfm?id=2969239.
Strengthening the Case for a Bayesian Approach to Car-following Model Calibration and Validation using Probabilistic Programming Available: http://dl.acm.org/citation.cfm?id=2969239
Reference 837
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T14:50:11.552802Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Pith citing papers
No inbound Pith citation observations are available.