{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:4NI4PGU5XDUNEPZ57VPVXHBHJG","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":"36425c4c54fbd0c2f8f0e43baab436a221c49e6c40a77049a7faaa86036da08b","cross_cats_sorted":["cs.AI","eess.SP"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-09-02T14:15:09Z","title_canon_sha256":"ee718236d98ca4e925652c9d67df61371bae96c8fcaefe7ec71233df80c94b81"},"schema_version":"1.0","source":{"id":"2409.02720","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2409.02720","created_at":"2026-07-05T09:05:18Z"},{"alias_kind":"arxiv_version","alias_value":"2409.02720v2","created_at":"2026-07-05T09:05:18Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2409.02720","created_at":"2026-07-05T09:05:18Z"},{"alias_kind":"pith_short_12","alias_value":"4NI4PGU5XDUN","created_at":"2026-07-05T09:05:18Z"},{"alias_kind":"pith_short_16","alias_value":"4NI4PGU5XDUNEPZ5","created_at":"2026-07-05T09:05:18Z"},{"alias_kind":"pith_short_8","alias_value":"4NI4PGU5","created_at":"2026-07-05T09:05:18Z"}],"graph_snapshots":[{"event_id":"sha256:802db23d6a907bbf6650458d1295cd705f1c6aa9b3a98d1a76fb00ada6c6edaa","target":"graph","created_at":"2026-07-05T09:05:18Z","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/2409.02720/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Depth estimation plays a pivotal role in autonomous driving, facilitating a comprehensive understanding of the vehicle's 3D surroundings. Radar, with its robustness to adverse weather conditions and capability to measure distances, has drawn significant interest for radar-camera depth estimation. However, existing algorithms process the inherently noisy and sparse radar data by projecting 3D points onto the image plane for pixel-level feature extraction, overlooking the valuable geometric information contained within the radar point cloud. To address this gap, we propose GET-UP, leveraging att","authors_text":"Hao Feng, Huawei Sun, Julius Ott, Lorenzo Servadei, Robert Wille, Zixu Wang","cross_cats":["cs.AI","eess.SP"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-09-02T14:15:09Z","title":"GET-UP: GEomeTric-aware Depth Estimation with Radar Points UPsampling"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2409.02720","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:fe20379d4897a7ac0cd372f078fd1b6d2b40462eca104757584cfc031acdc322","target":"record","created_at":"2026-07-05T09:05:18Z","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":"36425c4c54fbd0c2f8f0e43baab436a221c49e6c40a77049a7faaa86036da08b","cross_cats_sorted":["cs.AI","eess.SP"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-09-02T14:15:09Z","title_canon_sha256":"ee718236d98ca4e925652c9d67df61371bae96c8fcaefe7ec71233df80c94b81"},"schema_version":"1.0","source":{"id":"2409.02720","kind":"arxiv","version":2}},"canonical_sha256":"e351c79a9db8e8d23f3dfd5f5b9c274984ff9b7b48d2d276261f7ec4ddaf10d2","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"e351c79a9db8e8d23f3dfd5f5b9c274984ff9b7b48d2d276261f7ec4ddaf10d2","first_computed_at":"2026-07-05T09:05:18.932302Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:05:18.932302Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"7WjcX7pPPMCxZqO4HVWZIts6eBL/2HSsUm5awh932gOLTPUnz2JLzo18CgpYQOsbqIvw0MOBoKwM6zTT9GGlAg==","signature_status":"signed_v1","signed_at":"2026-07-05T09:05:18.932781Z","signed_message":"canonical_sha256_bytes"},"source_id":"2409.02720","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:fe20379d4897a7ac0cd372f078fd1b6d2b40462eca104757584cfc031acdc322","sha256:802db23d6a907bbf6650458d1295cd705f1c6aa9b3a98d1a76fb00ada6c6edaa"],"state_sha256":"eb30c4119f294e17f3a8b8f024856715aa675ac07c5d91d78ed3204b0dccfd2e"}