{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2019:LNA2DJZU5QY35MXQJBLVBPX6HG","short_pith_number":"pith:LNA2DJZU","canonical_record":{"source":{"id":"1906.05015","kind":"arxiv","version":12},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2019-06-12T09:12:50Z","cross_cats_sorted":["cs.AI","cs.RO","cs.SY","eess.SY","stat.ML"],"title_canon_sha256":"82cb6b9b01a917bb68afff5dfec120fdf94b69c70198d27a8c568ae4db178f2a","abstract_canon_sha256":"46e7a567b17ac4b7e9c1cd268e39411119b9d9e18c679be0f32bae9fbefee26f"},"schema_version":"1.0"},"canonical_sha256":"5b41a1a734ec31beb2f0485750befe398343201add79ef5da9084055e0a003b8","source":{"kind":"arxiv","id":"1906.05015","version":12},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1906.05015","created_at":"2026-07-05T05:43:34Z"},{"alias_kind":"arxiv_version","alias_value":"1906.05015v12","created_at":"2026-07-05T05:43:34Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1906.05015","created_at":"2026-07-05T05:43:34Z"},{"alias_kind":"pith_short_12","alias_value":"LNA2DJZU5QY3","created_at":"2026-07-05T05:43:34Z"},{"alias_kind":"pith_short_16","alias_value":"LNA2DJZU5QY35MXQ","created_at":"2026-07-05T05:43:34Z"},{"alias_kind":"pith_short_8","alias_value":"LNA2DJZU","created_at":"2026-07-05T05:43:34Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2019:LNA2DJZU5QY35MXQJBLVBPX6HG","target":"record","payload":{"canonical_record":{"source":{"id":"1906.05015","kind":"arxiv","version":12},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2019-06-12T09:12:50Z","cross_cats_sorted":["cs.AI","cs.RO","cs.SY","eess.SY","stat.ML"],"title_canon_sha256":"82cb6b9b01a917bb68afff5dfec120fdf94b69c70198d27a8c568ae4db178f2a","abstract_canon_sha256":"46e7a567b17ac4b7e9c1cd268e39411119b9d9e18c679be0f32bae9fbefee26f"},"schema_version":"1.0"},"canonical_sha256":"5b41a1a734ec31beb2f0485750befe398343201add79ef5da9084055e0a003b8","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T05:43:34.230972Z","signature_b64":"XURzGR7m59yUUHDgpB28bk2o9u9Q995Y9VT1zUdbEX2p5YhDE8iJbDXmp6hRQH8VNMxKKojiFln96d5nhHT5BA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"5b41a1a734ec31beb2f0485750befe398343201add79ef5da9084055e0a003b8","last_reissued_at":"2026-07-05T05:43:34.230529Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T05:43:34.230529Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1906.05015","source_version":12,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T05:43:34Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"6tII9KbIZxzFmP6Ntq64hXaoE/c83mlchKXn/ORTFpV9cJfkPfjk29NK2ji27OQZCXUzBb046iVjSF1b+bnzBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T17:22:03.579589Z"},"content_sha256":"21b0b56c31c6b12cb0170068e23bb188cf517bd8070702714079de060964b2ff","schema_version":"1.0","event_id":"sha256:21b0b56c31c6b12cb0170068e23bb188cf517bd8070702714079de060964b2ff"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2019:LNA2DJZU5QY35MXQJBLVBPX6HG","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Deep Reinforcement Learning for Unmanned Aerial Vehicle-Assisted Vehicular Networks","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI","cs.RO","cs.SY","eess.SY","stat.ML"],"primary_cat":"cs.LG","authors_text":"Anwar Walid, Ming Zhu, Xiao-Yang Liu","submitted_at":"2019-06-12T09:12:50Z","abstract_excerpt":"Unmanned aerial vehicles (UAVs) are envisioned to complement the 5G communication infrastructure in future smart cities. Hot spots easily appear in road intersections, where effective communication among vehicles is challenging. UAVs may serve as relays with the advantages of low price, easy deployment, line-of-sight links, and flexible mobility. In this paper, we study a UAV-assisted vehicular network where the UAV jointly adjusts its transmission control (power and channel) and 3D flight to maximize the total throughput. First, we formulate a Markov decision process (MDP) problem by modeling"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1906.05015","kind":"arxiv","version":12},"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/1906.05015/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":"2026-07-05T05:43:34Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"r0ELmuxdVWmAyCoVM2nWz0mLWMxj8NeZDwqgQNASrbE7RjfneG8Z8MHksB+EKB3cIs4Xp//y+EtXswVepPAbDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T17:22:03.580466Z"},"content_sha256":"1edd66553db27cf9915c6b176ec2bca6fc0119d01200e378c5928af9e0ec2f52","schema_version":"1.0","event_id":"sha256:1edd66553db27cf9915c6b176ec2bca6fc0119d01200e378c5928af9e0ec2f52"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/LNA2DJZU5QY35MXQJBLVBPX6HG/bundle.json","state_url":"https://pith.science/pith/LNA2DJZU5QY35MXQJBLVBPX6HG/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/LNA2DJZU5QY35MXQJBLVBPX6HG/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":"2026-08-05T17:22:03Z","links":{"resolver":"https://pith.science/pith/LNA2DJZU5QY35MXQJBLVBPX6HG","bundle":"https://pith.science/pith/LNA2DJZU5QY35MXQJBLVBPX6HG/bundle.json","state":"https://pith.science/pith/LNA2DJZU5QY35MXQJBLVBPX6HG/state.json","well_known_bundle":"https://pith.science/.well-known/pith/LNA2DJZU5QY35MXQJBLVBPX6HG/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:LNA2DJZU5QY35MXQJBLVBPX6HG","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":"46e7a567b17ac4b7e9c1cd268e39411119b9d9e18c679be0f32bae9fbefee26f","cross_cats_sorted":["cs.AI","cs.RO","cs.SY","eess.SY","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2019-06-12T09:12:50Z","title_canon_sha256":"82cb6b9b01a917bb68afff5dfec120fdf94b69c70198d27a8c568ae4db178f2a"},"schema_version":"1.0","source":{"id":"1906.05015","kind":"arxiv","version":12}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1906.05015","created_at":"2026-07-05T05:43:34Z"},{"alias_kind":"arxiv_version","alias_value":"1906.05015v12","created_at":"2026-07-05T05:43:34Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1906.05015","created_at":"2026-07-05T05:43:34Z"},{"alias_kind":"pith_short_12","alias_value":"LNA2DJZU5QY3","created_at":"2026-07-05T05:43:34Z"},{"alias_kind":"pith_short_16","alias_value":"LNA2DJZU5QY35MXQ","created_at":"2026-07-05T05:43:34Z"},{"alias_kind":"pith_short_8","alias_value":"LNA2DJZU","created_at":"2026-07-05T05:43:34Z"}],"graph_snapshots":[{"event_id":"sha256:1edd66553db27cf9915c6b176ec2bca6fc0119d01200e378c5928af9e0ec2f52","target":"graph","created_at":"2026-07-05T05:43:34Z","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/1906.05015/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Unmanned aerial vehicles (UAVs) are envisioned to complement the 5G communication infrastructure in future smart cities. Hot spots easily appear in road intersections, where effective communication among vehicles is challenging. UAVs may serve as relays with the advantages of low price, easy deployment, line-of-sight links, and flexible mobility. In this paper, we study a UAV-assisted vehicular network where the UAV jointly adjusts its transmission control (power and channel) and 3D flight to maximize the total throughput. First, we formulate a Markov decision process (MDP) problem by modeling","authors_text":"Anwar Walid, Ming Zhu, Xiao-Yang Liu","cross_cats":["cs.AI","cs.RO","cs.SY","eess.SY","stat.ML"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2019-06-12T09:12:50Z","title":"Deep Reinforcement Learning for Unmanned Aerial Vehicle-Assisted Vehicular Networks"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1906.05015","kind":"arxiv","version":12},"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":"sha256:21b0b56c31c6b12cb0170068e23bb188cf517bd8070702714079de060964b2ff","target":"record","created_at":"2026-07-05T05:43:34Z","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":"46e7a567b17ac4b7e9c1cd268e39411119b9d9e18c679be0f32bae9fbefee26f","cross_cats_sorted":["cs.AI","cs.RO","cs.SY","eess.SY","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2019-06-12T09:12:50Z","title_canon_sha256":"82cb6b9b01a917bb68afff5dfec120fdf94b69c70198d27a8c568ae4db178f2a"},"schema_version":"1.0","source":{"id":"1906.05015","kind":"arxiv","version":12}},"canonical_sha256":"5b41a1a734ec31beb2f0485750befe398343201add79ef5da9084055e0a003b8","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"5b41a1a734ec31beb2f0485750befe398343201add79ef5da9084055e0a003b8","first_computed_at":"2026-07-05T05:43:34.230529Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T05:43:34.230529Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"XURzGR7m59yUUHDgpB28bk2o9u9Q995Y9VT1zUdbEX2p5YhDE8iJbDXmp6hRQH8VNMxKKojiFln96d5nhHT5BA==","signature_status":"signed_v1","signed_at":"2026-07-05T05:43:34.230972Z","signed_message":"canonical_sha256_bytes"},"source_id":"1906.05015","source_kind":"arxiv","source_version":12}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:21b0b56c31c6b12cb0170068e23bb188cf517bd8070702714079de060964b2ff","sha256:1edd66553db27cf9915c6b176ec2bca6fc0119d01200e378c5928af9e0ec2f52"],"state_sha256":"6b69c28c62d4dc40b72834b4e321beebd7a1f92fe79fd0538887487341507560"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"uuppOmchHmCrPSIuIBbizc9KDOTKoqlMJVhaFJ0Oly3lCFMiJWdo4qk4BeefUVHPAWuyePSsia4wCAikCLp9CA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-05T17:22:03.585965Z","bundle_sha256":"97addc92abed7141ac994a54e32bb27adca6ffbddf720274be2231dbfb1c0461"}}