{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:F67S4JTMYZPNFQZVEYD3W5545K","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":"b1df2196b0ab43d653728832eba08fd9fac677ea1bda70301540c0982dffe92d","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.RO","submitted_at":"2024-04-01T15:14:15Z","title_canon_sha256":"83f082c5c5f0db8794727a2b13c708f9bcb45b17fcad48f95455fdb222e65a21"},"schema_version":"1.0","source":{"id":"2404.01166","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2404.01166","created_at":"2026-07-05T08:48:42Z"},{"alias_kind":"arxiv_version","alias_value":"2404.01166v2","created_at":"2026-07-05T08:48:42Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2404.01166","created_at":"2026-07-05T08:48:42Z"},{"alias_kind":"pith_short_12","alias_value":"F67S4JTMYZPN","created_at":"2026-07-05T08:48:42Z"},{"alias_kind":"pith_short_16","alias_value":"F67S4JTMYZPNFQZV","created_at":"2026-07-05T08:48:42Z"},{"alias_kind":"pith_short_8","alias_value":"F67S4JTM","created_at":"2026-07-05T08:48:42Z"}],"graph_snapshots":[{"event_id":"sha256:d39ed6470e00cb633057807eeff582c3e24e4a158b8408c8eb608457c1f763ef","target":"graph","created_at":"2026-07-05T08:48:42Z","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/2404.01166/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"4D mmWave radar sensors are suitable for roadside perception in city-scale Intelligent Transportation Systems (ITS) due to their long sensing range, weatherproof functionality, simple mechanical design, and low manufacturing cost. In this work, we investigate radar-based ITS for scalable traffic analysis. Localization of these radar sensors at city scale is a fundamental task in ITS. For flexible sensor setups, it requires even more effort. To address this task, we propose a self-localization approach that matches two descriptions of the \"road\": the one from the geometry of the motion trajecto","authors_text":"Gordon Elger, J\\\"urgen Beyerer, Klaus Kefferp\\\"utz, Longfei Han, Qiuyu Xu, Ying Lu","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.RO","submitted_at":"2024-04-01T15:14:15Z","title":"Scalable Radar-based Roadside Perception: Self-localization and Occupancy Heat Map for Traffic Analysis"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2404.01166","kind":"arxiv","version":2},"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":"sha256:963363c45bbc359bf23daf9f0e9f68da5a3e1cdf5755eefda50aa2bff976c75a","target":"record","created_at":"2026-07-05T08:48:42Z","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":"b1df2196b0ab43d653728832eba08fd9fac677ea1bda70301540c0982dffe92d","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.RO","submitted_at":"2024-04-01T15:14:15Z","title_canon_sha256":"83f082c5c5f0db8794727a2b13c708f9bcb45b17fcad48f95455fdb222e65a21"},"schema_version":"1.0","source":{"id":"2404.01166","kind":"arxiv","version":2}},"canonical_sha256":"2fbf2e266cc65ed2c3352607bb77bcea9b8e22d9d08b3ffcd561e74c537a4f49","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"2fbf2e266cc65ed2c3352607bb77bcea9b8e22d9d08b3ffcd561e74c537a4f49","first_computed_at":"2026-07-05T08:48:42.839236Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:48:42.839236Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"x+UG21Is7ULmAFjL+l2Smg+W3D/E+260NoevBHLjWLJQx4iTfOJoVMPQFv/BpIjMDVZjkABQ1PAfeKUPsVPJBA==","signature_status":"signed_v1","signed_at":"2026-07-05T08:48:42.839752Z","signed_message":"canonical_sha256_bytes"},"source_id":"2404.01166","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:963363c45bbc359bf23daf9f0e9f68da5a3e1cdf5755eefda50aa2bff976c75a","sha256:d39ed6470e00cb633057807eeff582c3e24e4a158b8408c8eb608457c1f763ef"],"state_sha256":"83112b5b56f5de38b2e3577a4149ae7ab6944bd0c8f596e156cfb5ab73c4b6d3"}