{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:KMQQN7LJVOU2U62DCQLDFRALCY","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":"e9acba4dc820ebe2147d903bb90f144a21bb753537198a2df358c60dc4c4d03a","cross_cats_sorted":["cs.CV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.RO","submitted_at":"2024-03-18T13:14:46Z","title_canon_sha256":"ce5b07b870d2d5e4faa59e8b8993b5003810f908608392e684623487a337ede0"},"schema_version":"1.0","source":{"id":"2403.11761","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2403.11761","created_at":"2026-07-05T09:59:45Z"},{"alias_kind":"arxiv_version","alias_value":"2403.11761v2","created_at":"2026-07-05T09:59:45Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2403.11761","created_at":"2026-07-05T09:59:45Z"},{"alias_kind":"pith_short_12","alias_value":"KMQQN7LJVOU2","created_at":"2026-07-05T09:59:45Z"},{"alias_kind":"pith_short_16","alias_value":"KMQQN7LJVOU2U62D","created_at":"2026-07-05T09:59:45Z"},{"alias_kind":"pith_short_8","alias_value":"KMQQN7LJ","created_at":"2026-07-05T09:59:45Z"}],"graph_snapshots":[{"event_id":"sha256:f4d071816588a7263699995367eb9b422f7bcb6ea6c838f4d96ce8a130fbe2cc","target":"graph","created_at":"2026-07-05T09:59:45Z","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/2403.11761/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Semantic scene segmentation from a bird's-eye-view (BEV) perspective plays a crucial role in facilitating planning and decision-making for mobile robots. Although recent vision-only methods have demonstrated notable advancements in performance, they often struggle under adverse illumination conditions such as rain or nighttime. While active sensors offer a solution to this challenge, the prohibitively high cost of LiDARs remains a limiting factor. Fusing camera data with automotive radars poses a more inexpensive alternative but has received less attention in prior research. In this work, we a","authors_text":"Abhinav Valada, B Ravi Kiran, Jonas Schramm, K\\\"ursat Petek, Niclas V\\\"odisch, Senthil Yogamani, Wolfram Burgard","cross_cats":["cs.CV"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.RO","submitted_at":"2024-03-18T13:14:46Z","title":"BEVCar: Camera-Radar Fusion for BEV Map and Object Segmentation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2403.11761","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:df9aecd581034cda9290dccf6bdd65fd20696af4955fb4aa2d3fe295f336e236","target":"record","created_at":"2026-07-05T09:59:45Z","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":"e9acba4dc820ebe2147d903bb90f144a21bb753537198a2df358c60dc4c4d03a","cross_cats_sorted":["cs.CV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.RO","submitted_at":"2024-03-18T13:14:46Z","title_canon_sha256":"ce5b07b870d2d5e4faa59e8b8993b5003810f908608392e684623487a337ede0"},"schema_version":"1.0","source":{"id":"2403.11761","kind":"arxiv","version":2}},"canonical_sha256":"532106fd69aba9aa7b43141632c40b162a31dcfaa9d5b7f7bc00092ac680d9a5","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"532106fd69aba9aa7b43141632c40b162a31dcfaa9d5b7f7bc00092ac680d9a5","first_computed_at":"2026-07-05T09:59:45.020884Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:59:45.020884Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"7Xl42j4jriC+aIV7CbfePNg+aO2a0jgTvSoA2fvx3GK5T16VBuC+aomsruB3d5u5YTQOmI0E294Mg9XQTpRPCg==","signature_status":"signed_v1","signed_at":"2026-07-05T09:59:45.021490Z","signed_message":"canonical_sha256_bytes"},"source_id":"2403.11761","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:df9aecd581034cda9290dccf6bdd65fd20696af4955fb4aa2d3fe295f336e236","sha256:f4d071816588a7263699995367eb9b422f7bcb6ea6c838f4d96ce8a130fbe2cc"],"state_sha256":"8467b5367463551474631214c937917fae1f4842ee19412f6f98ee983271be42"}