{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:N6FKFM6MX2L2GE343FOTK7S6IE","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"2efc30e4ba581409dc0d8f1d60957ae2da0bb4dddd25f298266380b2b346f78c","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.RO","submitted_at":"2026-05-24T09:01:04Z","title_canon_sha256":"bcb5dcedc51e208f924e57f969ce4a106229a46a508000fe3a9f378954d962fd"},"schema_version":"1.0","source":{"id":"2605.24950","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.24950","created_at":"2026-05-26T01:04:07Z"},{"alias_kind":"arxiv_version","alias_value":"2605.24950v1","created_at":"2026-05-26T01:04:07Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.24950","created_at":"2026-05-26T01:04:07Z"},{"alias_kind":"pith_short_12","alias_value":"N6FKFM6MX2L2","created_at":"2026-05-26T01:04:07Z"},{"alias_kind":"pith_short_16","alias_value":"N6FKFM6MX2L2GE34","created_at":"2026-05-26T01:04:07Z"},{"alias_kind":"pith_short_8","alias_value":"N6FKFM6M","created_at":"2026-05-26T01:04:07Z"}],"graph_snapshots":[{"event_id":"sha256:48d470e4020558117db49434b0d0bc09929ff3e1f1bfa9d76e7c3d0e1f4b4eb2","target":"graph","created_at":"2026-05-26T01:04:07Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2605.24950/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We present ARCANE-PedSynth, an open-source CARLA-based software framework for generating synthetic multi-pedestrian datasets with dense behavioural annotations for pedestrian crossing prediction in autonomous driving. The framework overcomes CARLA's native 9% crossing rate through a hybrid AI-manual pedestrian control architecture, enabling configurable target rates up to 75%. A 12-state behavioural finite state machine with five character archetypes produces diverse crossing behaviours. The framework generates synchronised RGB, LiDAR, and DVS data with per-frame crossing labels, behavioural s","authors_text":"Antonio M. L\\'opez Pe\\~na, Maciej Wielgosz, Muhammad Naveed Riaz","cross_cats":["cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.RO","submitted_at":"2026-05-24T09:01:04Z","title":"ARCANE-PedSynth: Synthetic Multi-Pedestrian Datasets with Behavioural Crossing Annotations"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.24950","kind":"arxiv","version":1},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:703dc25e924007421b7f43e08d6e92b0ee74df7c30259c69cf0a9d5ece199873","target":"record","created_at":"2026-05-26T01:04:07Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"2efc30e4ba581409dc0d8f1d60957ae2da0bb4dddd25f298266380b2b346f78c","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.RO","submitted_at":"2026-05-24T09:01:04Z","title_canon_sha256":"bcb5dcedc51e208f924e57f969ce4a106229a46a508000fe3a9f378954d962fd"},"schema_version":"1.0","source":{"id":"2605.24950","kind":"arxiv","version":1}},"canonical_sha256":"6f8aa2b3ccbe97a3137cd95d357e5e4139f62c5985b4f993e17f2c0ec4640563","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"6f8aa2b3ccbe97a3137cd95d357e5e4139f62c5985b4f993e17f2c0ec4640563","first_computed_at":"2026-05-26T01:04:07.270235Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-26T01:04:07.270235Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"rxUOBZeAyd3BLcohGiSYX/eqvl6vuCrPfSDkEL67mASm/ttqcuypwsuTENxNTeq/GHgxEW2a8rqyI6391R3cBQ==","signature_status":"signed_v1","signed_at":"2026-05-26T01:04:07.270919Z","signed_message":"canonical_sha256_bytes"},"source_id":"2605.24950","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:703dc25e924007421b7f43e08d6e92b0ee74df7c30259c69cf0a9d5ece199873","sha256:48d470e4020558117db49434b0d0bc09929ff3e1f1bfa9d76e7c3d0e1f4b4eb2"],"state_sha256":"d9e122796a68898d27168ac2cc4b44d107945ed82cbff9475c69bf7039054110"}