{"paper":{"title":"VaN3Twin: the Multi-Technology V2X Digital Twin with Ray-Tracing in the Loop","license":"http://creativecommons.org/licenses/by/4.0/","headline":"VaN3Twin is a new open-source digital twin that integrates ray tracing into V2X simulations to cut disagreement with real measurements by half in rural areas and over 70 percent in cities.","cross_cats":["eess.SP"],"primary_cat":"cs.NI","authors_text":"Claudio Casetti, Diego Gasco, Eugenio Moro, Francesco Linsalata, Francesco Raviglione, Marco Rapelli, Roberto Pegurri","submitted_at":"2025-05-20T10:41:11Z","abstract_excerpt":"This paper presents VaN3Twin-the first open-source, full-stack Network Digital Twin (NDT) framework for simulating the coexistence of multiple Vehicle-to-Everything (V2X) communication technologies with accurate physical-layer modeling via ray tracing. VaN3Twin extends the ms-van3t simulator by integrating Sionna Ray Tracer (RT) in the loop, enabling high-fidelity representation of wireless propagation, including diverse Line-of-Sight (LoS) conditions with focus on LoS blockage due to other vehicles' meshes, Doppler effect, and site-dependent effects-e.g., scattering and diffraction. Unlike co"},"claims":{"count":4,"items":[{"kind":"strongest_claim","text":"Compared to field measurements, VaN3Twin reduces application-layer disagreement by 50% in rural and over 70% in urban environments with respect to current state-of-the-art simulation tools.","source":"verdict.strongest_claim","status":"machine_extracted","claim_id":"C1","attestation":"unclaimed"},{"kind":"weakest_assumption","text":"The assumption that integrating Sionna ray tracing with ms-van3t and the new interference module produces high-fidelity results without introducing modeling artifacts or requiring extensive per-scenario tuning, as stated in the framework description.","source":"verdict.weakest_assumption","status":"machine_extracted","claim_id":"C2","attestation":"unclaimed"},{"kind":"one_line_summary","text":"VaN3Twin integrates ray-tracing into a full-stack V2X simulator to enable accurate multi-technology coexistence modeling and reports 50-70% better agreement with field measurements than prior tools.","source":"verdict.one_line_summary","status":"machine_extracted","claim_id":"C3","attestation":"unclaimed"},{"kind":"headline","text":"VaN3Twin is a new open-source digital twin that integrates ray tracing into V2X simulations to cut disagreement with real measurements by half in rural areas and over 70 percent in cities.","source":"verdict.pith_extraction.headline","status":"machine_extracted","claim_id":"C4","attestation":"unclaimed"}],"snapshot_sha256":"e7c88d1e80dd402711956fcfe9e6166f8764300e9d5656c92cd46df380c0e290"},"source":{"id":"2505.14184","kind":"arxiv","version":3},"verdict":{"id":"744d0603-7480-40ef-ad64-5e005693caae","model_set":{"reader":"grok-4.3"},"created_at":"2026-05-22T14:36:35.883903Z","strongest_claim":"Compared to field measurements, VaN3Twin reduces application-layer disagreement by 50% in rural and over 70% in urban environments with respect to current state-of-the-art simulation tools.","one_line_summary":"VaN3Twin integrates ray-tracing into a full-stack V2X simulator to enable accurate multi-technology coexistence modeling and reports 50-70% better agreement with field measurements than prior tools.","pipeline_version":"pith-pipeline@v0.9.0","weakest_assumption":"The assumption that integrating Sionna ray tracing with ms-van3t and the new interference module produces high-fidelity results without introducing modeling artifacts or requiring extensive per-scenario tuning, as stated in the framework description.","pith_extraction_headline":"VaN3Twin is a new open-source digital twin that integrates ray tracing into V2X simulations to cut disagreement with real measurements by half in rural areas and over 70 percent in cities."},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2505.14184/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":2,"snapshot_sha256":"d81b6f87ea91e353d52c74fa282b78585d039dee273847ecbbebd6a8047c23d0"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"}