{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:PDLFXVTO2DXYHICOXP3RX3NCY3","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":"6d286080e78edcc6250e06649b4cca95fd278807da6736900fa4237d774bfa6e","cross_cats_sorted":["cs.AI","cs.LG","cs.RO","cs.SY"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"eess.SY","submitted_at":"2022-01-15T12:40:23Z","title_canon_sha256":"5b429a6a948b0ffb26bea4fb37a2ba21d4c96458b5d2ac3887dc51b40d8a153a"},"schema_version":"1.0","source":{"id":"2201.05843","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2201.05843","created_at":"2026-07-05T03:48:52Z"},{"alias_kind":"arxiv_version","alias_value":"2201.05843v1","created_at":"2026-07-05T03:48:52Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2201.05843","created_at":"2026-07-05T03:48:52Z"},{"alias_kind":"pith_short_12","alias_value":"PDLFXVTO2DXY","created_at":"2026-07-05T03:48:52Z"},{"alias_kind":"pith_short_16","alias_value":"PDLFXVTO2DXYHICO","created_at":"2026-07-05T03:48:52Z"},{"alias_kind":"pith_short_8","alias_value":"PDLFXVTO","created_at":"2026-07-05T03:48:52Z"}],"graph_snapshots":[{"event_id":"sha256:5dd8b88d99f11b0471f32406feeff2d1c0f84ec4ae4797b1d6d03778ffd7d247","target":"graph","created_at":"2026-07-05T03:48:52Z","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/2201.05843/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"CCTV-based surveillance using unmanned aerial vehicles (UAVs) is considered a key technology for security in smart city environments. This paper creates a case where the UAVs with CCTV-cameras fly over the city area for flexible and reliable surveillance services. UAVs should be deployed to cover a large area while minimize overlapping and shadow areas for a reliable surveillance system. However, the operation of UAVs is subject to high uncertainty, necessitating autonomous recovery systems. This work develops a multi-agent deep reinforcement learning-based management scheme for reliable indus","authors_text":"David A. Mohaisen, Jae-Hyun Kim, Joongheon Kim, MyungJae Shin, Soohyun Park, Soyi Jung, Won Joon Yun","cross_cats":["cs.AI","cs.LG","cs.RO","cs.SY"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"eess.SY","submitted_at":"2022-01-15T12:40:23Z","title":"Cooperative Multi-Agent Deep Reinforcement Learning for Reliable Surveillance via Autonomous Multi-UAV Control"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2201.05843","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":"sha256:12b7a9021f2e8429cf208c38c644ab420dc929c5ba9ef4cb2c6d60df7fe7c1fe","target":"record","created_at":"2026-07-05T03:48:52Z","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":"6d286080e78edcc6250e06649b4cca95fd278807da6736900fa4237d774bfa6e","cross_cats_sorted":["cs.AI","cs.LG","cs.RO","cs.SY"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"eess.SY","submitted_at":"2022-01-15T12:40:23Z","title_canon_sha256":"5b429a6a948b0ffb26bea4fb37a2ba21d4c96458b5d2ac3887dc51b40d8a153a"},"schema_version":"1.0","source":{"id":"2201.05843","kind":"arxiv","version":1}},"canonical_sha256":"78d65bd66ed0ef83a04ebbf71beda2c6f59ab3597f674274f8e3227dd1d3b254","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"78d65bd66ed0ef83a04ebbf71beda2c6f59ab3597f674274f8e3227dd1d3b254","first_computed_at":"2026-07-05T03:48:52.160882Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T03:48:52.160882Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"MCzqmNaJ+50y0TIVnvC+xlPf8izhE7xVOLQ8nMc2WiEYcDZa1kP0Rzafal9vo/xJ52XA60wmTQk4I/iyDEGsCg==","signature_status":"signed_v1","signed_at":"2026-07-05T03:48:52.161224Z","signed_message":"canonical_sha256_bytes"},"source_id":"2201.05843","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:12b7a9021f2e8429cf208c38c644ab420dc929c5ba9ef4cb2c6d60df7fe7c1fe","sha256:5dd8b88d99f11b0471f32406feeff2d1c0f84ec4ae4797b1d6d03778ffd7d247"],"state_sha256":"447ffeec1b5238c1b589c2c8d3d985ff06260f2133d2627657c842858340b054"}