{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2023:GBFVD4SMOVQZBG374ETKXFXB4F","short_pith_number":"pith:GBFVD4SM","schema_version":"1.0","canonical_sha256":"304b51f24c7561909b7fe126ab96e1e169dab36f5e04f524ab693f8b8dc6bbae","source":{"kind":"arxiv","id":"2308.10362","version":1},"attestation_state":"computed","paper":{"title":"Vehicle Cameras Guide mmWave Beams: Approach and Real-World V2V Demonstration","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":["cs.CV","eess.SP","math.IT"],"primary_cat":"cs.IT","authors_text":"Ahmed Alkhateeb, Gouranga Charan, Tawfik Osman","submitted_at":"2023-08-20T20:43:11Z","abstract_excerpt":"Accurately aligning millimeter-wave (mmWave) and terahertz (THz) narrow beams is essential to satisfy reliability and high data rates of 5G and beyond wireless communication systems. However, achieving this objective is difficult, especially in vehicle-to-vehicle (V2V) communication scenarios, where both transmitter and receiver are constantly mobile. Recently, additional sensing modalities, such as visual sensors, have attracted significant interest due to their capability to provide accurate information about the wireless environment. To that end, in this paper, we develop a deep learning so"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2308.10362","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.IT","submitted_at":"2023-08-20T20:43:11Z","cross_cats_sorted":["cs.CV","eess.SP","math.IT"],"title_canon_sha256":"0b12a671e5455c5bab2193a41eb3f6f1071c7b2c603a16113a835d1c869a1322","abstract_canon_sha256":"93c74e5ae731c300315f728dc889bff1276e7b546299e94cc1a4bbd8fb4888e1"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T06:43:08.306249Z","signature_b64":"erR7/MmXCPOV4nOwZEEmvaZ3d1+Va3x8ugN75zSqRLOpq9ylVtqDaJFEzMqYQTlWdm0Vuu26cP0NJwqt3C2KDA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"304b51f24c7561909b7fe126ab96e1e169dab36f5e04f524ab693f8b8dc6bbae","last_reissued_at":"2026-07-05T06:43:08.305773Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T06:43:08.305773Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Vehicle Cameras Guide mmWave Beams: Approach and Real-World V2V Demonstration","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":["cs.CV","eess.SP","math.IT"],"primary_cat":"cs.IT","authors_text":"Ahmed Alkhateeb, Gouranga Charan, Tawfik Osman","submitted_at":"2023-08-20T20:43:11Z","abstract_excerpt":"Accurately aligning millimeter-wave (mmWave) and terahertz (THz) narrow beams is essential to satisfy reliability and high data rates of 5G and beyond wireless communication systems. However, achieving this objective is difficult, especially in vehicle-to-vehicle (V2V) communication scenarios, where both transmitter and receiver are constantly mobile. Recently, additional sensing modalities, such as visual sensors, have attracted significant interest due to their capability to provide accurate information about the wireless environment. To that end, in this paper, we develop a deep learning so"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2308.10362","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2308.10362/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"aliases":[{"alias_kind":"arxiv","alias_value":"2308.10362","created_at":"2026-07-05T06:43:08.305828+00:00"},{"alias_kind":"arxiv_version","alias_value":"2308.10362v1","created_at":"2026-07-05T06:43:08.305828+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2308.10362","created_at":"2026-07-05T06:43:08.305828+00:00"},{"alias_kind":"pith_short_12","alias_value":"GBFVD4SMOVQZ","created_at":"2026-07-05T06:43:08.305828+00:00"},{"alias_kind":"pith_short_16","alias_value":"GBFVD4SMOVQZBG37","created_at":"2026-07-05T06:43:08.305828+00:00"},{"alias_kind":"pith_short_8","alias_value":"GBFVD4SM","created_at":"2026-07-05T06:43:08.305828+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/GBFVD4SMOVQZBG374ETKXFXB4F","json":"https://pith.science/pith/GBFVD4SMOVQZBG374ETKXFXB4F.json","graph_json":"https://pith.science/api/pith-number/GBFVD4SMOVQZBG374ETKXFXB4F/graph.json","events_json":"https://pith.science/api/pith-number/GBFVD4SMOVQZBG374ETKXFXB4F/events.json","paper":"https://pith.science/paper/GBFVD4SM"},"agent_actions":{"view_html":"https://pith.science/pith/GBFVD4SMOVQZBG374ETKXFXB4F","download_json":"https://pith.science/pith/GBFVD4SMOVQZBG374ETKXFXB4F.json","view_paper":"https://pith.science/paper/GBFVD4SM","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2308.10362&json=true","fetch_graph":"https://pith.science/api/pith-number/GBFVD4SMOVQZBG374ETKXFXB4F/graph.json","fetch_events":"https://pith.science/api/pith-number/GBFVD4SMOVQZBG374ETKXFXB4F/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/GBFVD4SMOVQZBG374ETKXFXB4F/action/timestamp_anchor","attest_storage":"https://pith.science/pith/GBFVD4SMOVQZBG374ETKXFXB4F/action/storage_attestation","attest_author":"https://pith.science/pith/GBFVD4SMOVQZBG374ETKXFXB4F/action/author_attestation","sign_citation":"https://pith.science/pith/GBFVD4SMOVQZBG374ETKXFXB4F/action/citation_signature","submit_replication":"https://pith.science/pith/GBFVD4SMOVQZBG374ETKXFXB4F/action/replication_record"}},"created_at":"2026-07-05T06:43:08.305828+00:00","updated_at":"2026-07-05T06:43:08.305828+00:00"}