{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:KQH4W4MQWAFTITKAXYHNWLE6A4","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":"79e6550f24f55651ed924e8fecec5b7beafb3b11b920e68e4de05f6acd9a2003","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2022-11-17T10:19:59Z","title_canon_sha256":"cc04e27bdbb17c393c0bc3b061e19faffc58b973829f65b94a1c48d68c5bad2a"},"schema_version":"1.0","source":{"id":"2211.09445","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2211.09445","created_at":"2026-07-05T06:53:04Z"},{"alias_kind":"arxiv_version","alias_value":"2211.09445v3","created_at":"2026-07-05T06:53:04Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2211.09445","created_at":"2026-07-05T06:53:04Z"},{"alias_kind":"pith_short_12","alias_value":"KQH4W4MQWAFT","created_at":"2026-07-05T06:53:04Z"},{"alias_kind":"pith_short_16","alias_value":"KQH4W4MQWAFTITKA","created_at":"2026-07-05T06:53:04Z"},{"alias_kind":"pith_short_8","alias_value":"KQH4W4MQ","created_at":"2026-07-05T06:53:04Z"}],"graph_snapshots":[{"event_id":"sha256:fc36de48624d2d678779b797f167d6c4e5fd5d17a876f84b24e07607a55e7d34","target":"graph","created_at":"2026-07-05T06:53:04Z","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/2211.09445/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Autonomous driving is a popular research area within the computer vision research community. Since autonomous vehicles are highly safety-critical, ensuring robustness is essential for real-world deployment. While several public multimodal datasets are accessible, they mainly comprise two sensor modalities (camera, LiDAR) which are not well suited for adverse weather. In addition, they lack far-range annotations, making it harder to train neural networks that are the base of a highway assistant function of an autonomous vehicle. Therefore, we introduce a multimodal dataset for robust autonomous","authors_text":"\\'Ad\\'am Butykai, B\\'alint Varga, D\\'avid Kiss, D\\'avid Szeghy, Dezs\\H{o} Ribli, Domonkos Kov\\'acs, G\\'abor N\\'emeth, Iv\\'an Barton, Levente Pet\\H{o}, P\\'eter Hajas, P\\'eter Lengyel, S\\'andor Kuns\\'agi-M\\'at\\'e, Szabolcs Vajna, Tam\\'as Matuszka","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2022-11-17T10:19:59Z","title":"aiMotive Dataset: A Multimodal Dataset for Robust Autonomous Driving with Long-Range Perception"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2211.09445","kind":"arxiv","version":3},"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":"sha256:0a1997176649a93a4ecfc8237d6984431038df3fd761588427f9b278391b65f2","target":"record","created_at":"2026-07-05T06:53:04Z","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":"79e6550f24f55651ed924e8fecec5b7beafb3b11b920e68e4de05f6acd9a2003","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2022-11-17T10:19:59Z","title_canon_sha256":"cc04e27bdbb17c393c0bc3b061e19faffc58b973829f65b94a1c48d68c5bad2a"},"schema_version":"1.0","source":{"id":"2211.09445","kind":"arxiv","version":3}},"canonical_sha256":"540fcb7190b00b344d40be0edb2c9e070884e1a4487ccedf8ec5981df72d9bf4","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"540fcb7190b00b344d40be0edb2c9e070884e1a4487ccedf8ec5981df72d9bf4","first_computed_at":"2026-07-05T06:53:04.155479Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T06:53:04.155479Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"SpvcLRdAt1OZ7OatA7PRf/Oy8QZfLXVBaxGI2lp8xF536C1Mo+/wMvq9cwJtANTm2eojsueOPJrFVDN4KISdDA==","signature_status":"signed_v1","signed_at":"2026-07-05T06:53:04.156022Z","signed_message":"canonical_sha256_bytes"},"source_id":"2211.09445","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:0a1997176649a93a4ecfc8237d6984431038df3fd761588427f9b278391b65f2","sha256:fc36de48624d2d678779b797f167d6c4e5fd5d17a876f84b24e07607a55e7d34"],"state_sha256":"8fd56d8718bae78739145f1bda217761f64fe9e0d7d4a64f87392009aa6cb86b"}