{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2022:VFMOAEVP2CNM7PUKCMUCIXJJSW","short_pith_number":"pith:VFMOAEVP","canonical_record":{"source":{"id":"2211.07569","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"eess.SP","submitted_at":"2022-11-14T17:42:16Z","cross_cats_sorted":["cs.CV","cs.IT","math.IT"],"title_canon_sha256":"06253fc91364595ddc8f4152616830c763a12e867f6a998403b9f171a5bc54b7","abstract_canon_sha256":"1c1d7b604f5277465147183ad0d94b382ecccf876a8b5e4f3e5fe78d1f87edcc"},"schema_version":"1.0"},"canonical_sha256":"a958e012afd09acfbe8a1328245d2995815651e912c8ae998085af34b4f6584a","source":{"kind":"arxiv","id":"2211.07569","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2211.07569","created_at":"2026-07-05T05:15:55Z"},{"alias_kind":"arxiv_version","alias_value":"2211.07569v1","created_at":"2026-07-05T05:15:55Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2211.07569","created_at":"2026-07-05T05:15:55Z"},{"alias_kind":"pith_short_12","alias_value":"VFMOAEVP2CNM","created_at":"2026-07-05T05:15:55Z"},{"alias_kind":"pith_short_16","alias_value":"VFMOAEVP2CNM7PUK","created_at":"2026-07-05T05:15:55Z"},{"alias_kind":"pith_short_8","alias_value":"VFMOAEVP","created_at":"2026-07-05T05:15:55Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2022:VFMOAEVP2CNM7PUKCMUCIXJJSW","target":"record","payload":{"canonical_record":{"source":{"id":"2211.07569","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"eess.SP","submitted_at":"2022-11-14T17:42:16Z","cross_cats_sorted":["cs.CV","cs.IT","math.IT"],"title_canon_sha256":"06253fc91364595ddc8f4152616830c763a12e867f6a998403b9f171a5bc54b7","abstract_canon_sha256":"1c1d7b604f5277465147183ad0d94b382ecccf876a8b5e4f3e5fe78d1f87edcc"},"schema_version":"1.0"},"canonical_sha256":"a958e012afd09acfbe8a1328245d2995815651e912c8ae998085af34b4f6584a","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T05:15:55.137509Z","signature_b64":"6xr2AxzmjwuYDUKAd9o3QctQLUB0DfYJ5h4lwLcG1HeDhpIbDuY1cZYFWw2fZ87K3lc/2DKUMDaKzJmc+maBCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"a958e012afd09acfbe8a1328245d2995815651e912c8ae998085af34b4f6584a","last_reissued_at":"2026-07-05T05:15:55.137009Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T05:15:55.137009Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2211.07569","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T05:15:55Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"/T8alHHGYQtAAJsSgUbj9wRgm6QyrODPTe8oXl57RkAFE3nQro50MJx9Gvfx8znYFGJ/BdWa2qoddYEjQ5LcAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-11T15:33:27.841398Z"},"content_sha256":"b87864627553e68efbe431dc07ceb335ff4271565bd31cca1fec0572db8fb67b","schema_version":"1.0","event_id":"sha256:b87864627553e68efbe431dc07ceb335ff4271565bd31cca1fec0572db8fb67b"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2022:VFMOAEVP2CNM7PUKCMUCIXJJSW","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Millimeter Wave Drones with Cameras: Computer Vision Aided Wireless Beam Prediction","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":["cs.CV","cs.IT","math.IT"],"primary_cat":"eess.SP","authors_text":"Ahmed Alkhateeb, Andrew Hredzak, Gouranga Charan","submitted_at":"2022-11-14T17:42:16Z","abstract_excerpt":"Millimeter wave (mmWave) and terahertz (THz) drones have the potential to enable several futuristic applications such as coverage extension, enhanced security monitoring, and disaster management. However, these drones need to deploy large antenna arrays and use narrow directive beams to maintain a sufficient link budget. The large beam training overhead associated with these arrays makes adjusting these narrow beams challenging for highly-mobile drones. To address these challenges, this paper proposes a vision-aided machine learning-based approach that leverages visual data collected from came"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2211.07569","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/2211.07569/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"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T05:15:55Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ZdJtrwBZ/rTGEGlhCI9qElEkQ7ouH/7bJ5UyGKF5IiE9xFScQUE/NQg4JYcj6mgc9Nhv8tqkGqYVnMhJhuTJBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-11T15:33:27.841802Z"},"content_sha256":"331094e505187efe26556eded717faf153be30e52e2eb22008b746980a55b8b6","schema_version":"1.0","event_id":"sha256:331094e505187efe26556eded717faf153be30e52e2eb22008b746980a55b8b6"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/VFMOAEVP2CNM7PUKCMUCIXJJSW/bundle.json","state_url":"https://pith.science/pith/VFMOAEVP2CNM7PUKCMUCIXJJSW/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/VFMOAEVP2CNM7PUKCMUCIXJJSW/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-07-11T15:33:27Z","links":{"resolver":"https://pith.science/pith/VFMOAEVP2CNM7PUKCMUCIXJJSW","bundle":"https://pith.science/pith/VFMOAEVP2CNM7PUKCMUCIXJJSW/bundle.json","state":"https://pith.science/pith/VFMOAEVP2CNM7PUKCMUCIXJJSW/state.json","well_known_bundle":"https://pith.science/.well-known/pith/VFMOAEVP2CNM7PUKCMUCIXJJSW/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:VFMOAEVP2CNM7PUKCMUCIXJJSW","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":"1c1d7b604f5277465147183ad0d94b382ecccf876a8b5e4f3e5fe78d1f87edcc","cross_cats_sorted":["cs.CV","cs.IT","math.IT"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"eess.SP","submitted_at":"2022-11-14T17:42:16Z","title_canon_sha256":"06253fc91364595ddc8f4152616830c763a12e867f6a998403b9f171a5bc54b7"},"schema_version":"1.0","source":{"id":"2211.07569","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2211.07569","created_at":"2026-07-05T05:15:55Z"},{"alias_kind":"arxiv_version","alias_value":"2211.07569v1","created_at":"2026-07-05T05:15:55Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2211.07569","created_at":"2026-07-05T05:15:55Z"},{"alias_kind":"pith_short_12","alias_value":"VFMOAEVP2CNM","created_at":"2026-07-05T05:15:55Z"},{"alias_kind":"pith_short_16","alias_value":"VFMOAEVP2CNM7PUK","created_at":"2026-07-05T05:15:55Z"},{"alias_kind":"pith_short_8","alias_value":"VFMOAEVP","created_at":"2026-07-05T05:15:55Z"}],"graph_snapshots":[{"event_id":"sha256:331094e505187efe26556eded717faf153be30e52e2eb22008b746980a55b8b6","target":"graph","created_at":"2026-07-05T05:15:55Z","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/2211.07569/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Millimeter wave (mmWave) and terahertz (THz) drones have the potential to enable several futuristic applications such as coverage extension, enhanced security monitoring, and disaster management. However, these drones need to deploy large antenna arrays and use narrow directive beams to maintain a sufficient link budget. The large beam training overhead associated with these arrays makes adjusting these narrow beams challenging for highly-mobile drones. To address these challenges, this paper proposes a vision-aided machine learning-based approach that leverages visual data collected from came","authors_text":"Ahmed Alkhateeb, Andrew Hredzak, Gouranga Charan","cross_cats":["cs.CV","cs.IT","math.IT"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"eess.SP","submitted_at":"2022-11-14T17:42:16Z","title":"Millimeter Wave Drones with Cameras: Computer Vision Aided Wireless Beam Prediction"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2211.07569","kind":"arxiv","version":1},"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:b87864627553e68efbe431dc07ceb335ff4271565bd31cca1fec0572db8fb67b","target":"record","created_at":"2026-07-05T05:15:55Z","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":"1c1d7b604f5277465147183ad0d94b382ecccf876a8b5e4f3e5fe78d1f87edcc","cross_cats_sorted":["cs.CV","cs.IT","math.IT"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"eess.SP","submitted_at":"2022-11-14T17:42:16Z","title_canon_sha256":"06253fc91364595ddc8f4152616830c763a12e867f6a998403b9f171a5bc54b7"},"schema_version":"1.0","source":{"id":"2211.07569","kind":"arxiv","version":1}},"canonical_sha256":"a958e012afd09acfbe8a1328245d2995815651e912c8ae998085af34b4f6584a","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"a958e012afd09acfbe8a1328245d2995815651e912c8ae998085af34b4f6584a","first_computed_at":"2026-07-05T05:15:55.137009Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T05:15:55.137009Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"6xr2AxzmjwuYDUKAd9o3QctQLUB0DfYJ5h4lwLcG1HeDhpIbDuY1cZYFWw2fZ87K3lc/2DKUMDaKzJmc+maBCg==","signature_status":"signed_v1","signed_at":"2026-07-05T05:15:55.137509Z","signed_message":"canonical_sha256_bytes"},"source_id":"2211.07569","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:b87864627553e68efbe431dc07ceb335ff4271565bd31cca1fec0572db8fb67b","sha256:331094e505187efe26556eded717faf153be30e52e2eb22008b746980a55b8b6"],"state_sha256":"393b46e162576b281520221c6169a5d6776131c34ea302c29ad687bb2e5184cc"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"N3uerJNCigus8FVHbv/C4DU1KJHIwrmvLTPgUwsAGU6Yha8wku7f6Igc9ZZw5dtX8DvKEFObDskAoizWRo25BQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-11T15:33:27.844481Z","bundle_sha256":"2be63b6546c80906c2bb4d38659d37f239841b45f505a4ecf814d0ff1595f2e8"}}