{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:3FKRT3P4N2JBCSW46NNHBEMZUX","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":"abd882f802863a7c0cea3cb3584d131ad637a11ba4bdd03e4c32844e9fa0923b","cross_cats_sorted":["cs.NE","cs.SY","eess.SY"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2022-04-25T07:43:08Z","title_canon_sha256":"8f61b852267b5fc225782df5870b3eb2f92554b688868c38c3a755ffbd136838"},"schema_version":"1.0","source":{"id":"2204.11477","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2204.11477","created_at":"2026-07-05T04:17:28Z"},{"alias_kind":"arxiv_version","alias_value":"2204.11477v1","created_at":"2026-07-05T04:17:28Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2204.11477","created_at":"2026-07-05T04:17:28Z"},{"alias_kind":"pith_short_12","alias_value":"3FKRT3P4N2JB","created_at":"2026-07-05T04:17:28Z"},{"alias_kind":"pith_short_16","alias_value":"3FKRT3P4N2JBCSW4","created_at":"2026-07-05T04:17:28Z"},{"alias_kind":"pith_short_8","alias_value":"3FKRT3P4","created_at":"2026-07-05T04:17:28Z"}],"graph_snapshots":[{"event_id":"sha256:9770628ebfc5acab5092935fd59fbce140485ab911c0badb5e45189737881e80","target":"graph","created_at":"2026-07-05T04:17:28Z","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/2204.11477/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The unmanned aerial vehicle (UAV) plays an vital role in various applications such as delivery, military mission, disaster rescue, communication, etc., due to its flexibility and versatility. This paper proposes a deep reinforcement learning method to solve the UAV online routing problem with wireless power transfer, which can charge the UAV remotely without wires, thus extending the capability of the battery-limited UAV. Our study considers the power consumption of the UAV and the wireless charging process. Unlike the previous works, we solve the problem by a designed deep neural network. The","authors_text":"Kaiwen Li, Ling Wang, Rui Wang, Tao Zhang","cross_cats":["cs.NE","cs.SY","eess.SY"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2022-04-25T07:43:08Z","title":"Deep Reinforcement Learning for Online Routing of Unmanned Aerial Vehicles with Wireless Power Transfer"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2204.11477","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":"sha256:835907318ef7299739c3e82d79421e48bdc7bb49bfe7079c6e9b931db07161fe","target":"record","created_at":"2026-07-05T04:17:28Z","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":"abd882f802863a7c0cea3cb3584d131ad637a11ba4bdd03e4c32844e9fa0923b","cross_cats_sorted":["cs.NE","cs.SY","eess.SY"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2022-04-25T07:43:08Z","title_canon_sha256":"8f61b852267b5fc225782df5870b3eb2f92554b688868c38c3a755ffbd136838"},"schema_version":"1.0","source":{"id":"2204.11477","kind":"arxiv","version":1}},"canonical_sha256":"d95519edfc6e92114adcf35a709199a5f0f9261d3eaa78546a6a7b8cee4011bd","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"d95519edfc6e92114adcf35a709199a5f0f9261d3eaa78546a6a7b8cee4011bd","first_computed_at":"2026-07-05T04:17:28.444944Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T04:17:28.444944Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Z41vUWnOLavZhJwtHAxDZEjHlWKSEx7IiEDP0RAmlvRECmikPJbZ6ConGkFXXZH48dxZ4DOdMI0g+IF6Z6zQBQ==","signature_status":"signed_v1","signed_at":"2026-07-05T04:17:28.445408Z","signed_message":"canonical_sha256_bytes"},"source_id":"2204.11477","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:835907318ef7299739c3e82d79421e48bdc7bb49bfe7079c6e9b931db07161fe","sha256:9770628ebfc5acab5092935fd59fbce140485ab911c0badb5e45189737881e80"],"state_sha256":"860800b153f4dc68b77dd3dc52209cbb05857d16604f23f0bbf34416815a9cbd"}