{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:5UP77ZYZYDY5RTEQQSRHC233DW","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":"dea4baefff57971397afd19e95f888c6a15dbed8625d348ce87cd9df45979e4b","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.RO","submitted_at":"2024-09-05T22:42:09Z","title_canon_sha256":"43f3af43633e10483b6f3864b799be871de4bb0d1bf90a6ef67ce9cd0976aae5"},"schema_version":"1.0","source":{"id":"2409.03930","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2409.03930","created_at":"2026-07-05T09:53:28Z"},{"alias_kind":"arxiv_version","alias_value":"2409.03930v3","created_at":"2026-07-05T09:53:28Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2409.03930","created_at":"2026-07-05T09:53:28Z"},{"alias_kind":"pith_short_12","alias_value":"5UP77ZYZYDY5","created_at":"2026-07-05T09:53:28Z"},{"alias_kind":"pith_short_16","alias_value":"5UP77ZYZYDY5RTEQ","created_at":"2026-07-05T09:53:28Z"},{"alias_kind":"pith_short_8","alias_value":"5UP77ZYZ","created_at":"2026-07-05T09:53:28Z"}],"graph_snapshots":[{"event_id":"sha256:a1b7e99ac49ac33ba4b1502b1f9b7d281c3e961167c9534fa52b873d6ae64a7b","target":"graph","created_at":"2026-07-05T09:53:28Z","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/2409.03930/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Autonomous indoor navigation of UAVs presents numerous challenges, primarily due to the limited precision of GPS in enclosed environments. Additionally, UAVs' limited capacity to carry heavy or power-intensive sensors, such as overheight packages, exacerbates the difficulty of achieving autonomous navigation indoors. This paper introduces an advanced system in which a drone autonomously navigates indoor spaces to locate a specific target, such as an unknown Amazon package, using only a single camera. Employing a deep learning approach, a deep reinforcement adaptive learning algorithm is traine","authors_text":"Kangtong Mo, Linyue Chu, Wian Pretorius, Xingyu Zhang, Xiran Su, Yang Qian, Yining Ou","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.RO","submitted_at":"2024-09-05T22:42:09Z","title":"DRAL: Deep Reinforcement Adaptive Learning for Multi-UAVs Navigation in Unknown Indoor Environment"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2409.03930","kind":"arxiv","version":3},"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":"sha256:3c9e30c496049c890f0f3fb961d65051e24dced074e5ce5c816f55d8164267d6","target":"record","created_at":"2026-07-05T09:53:28Z","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":"dea4baefff57971397afd19e95f888c6a15dbed8625d348ce87cd9df45979e4b","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.RO","submitted_at":"2024-09-05T22:42:09Z","title_canon_sha256":"43f3af43633e10483b6f3864b799be871de4bb0d1bf90a6ef67ce9cd0976aae5"},"schema_version":"1.0","source":{"id":"2409.03930","kind":"arxiv","version":3}},"canonical_sha256":"ed1fffe719c0f1d8cc9084a2716b7b1d9b281a09c119cc57495e872fc7d014e1","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"ed1fffe719c0f1d8cc9084a2716b7b1d9b281a09c119cc57495e872fc7d014e1","first_computed_at":"2026-07-05T09:53:28.760329Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:53:28.760329Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"mzmDOz1XqpVz4tkr//S6PEhNspUoWfWSZBl1NKpTdq8u4U+mvLHbhhYDa1aySH2lT6O+1dojg2bvZU244cZrCg==","signature_status":"signed_v1","signed_at":"2026-07-05T09:53:28.760867Z","signed_message":"canonical_sha256_bytes"},"source_id":"2409.03930","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:3c9e30c496049c890f0f3fb961d65051e24dced074e5ce5c816f55d8164267d6","sha256:a1b7e99ac49ac33ba4b1502b1f9b7d281c3e961167c9534fa52b873d6ae64a7b"],"state_sha256":"579ba0959bb63d93669b21030bdf6d62c1895a065565a19ee4387f8fa1ab037d"}