{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:E7OEHZXQHONLWAMCFUBOVMSBGE","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":"b371fb6160e7d4e4670fbee4a1bbf7b930542be0f5f191bc4a1eb72646c24a50","cross_cats_sorted":["eess.SP","stat.AP","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-07-31T05:38:17Z","title_canon_sha256":"c5bfbfc8f14cfffcbe3fc82cb96f0312fa322d5d53f326e89cb742d57e187f7b"},"schema_version":"1.0","source":{"id":"2307.16412","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2307.16412","created_at":"2026-07-05T06:56:37Z"},{"alias_kind":"arxiv_version","alias_value":"2307.16412v2","created_at":"2026-07-05T06:56:37Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2307.16412","created_at":"2026-07-05T06:56:37Z"},{"alias_kind":"pith_short_12","alias_value":"E7OEHZXQHONL","created_at":"2026-07-05T06:56:37Z"},{"alias_kind":"pith_short_16","alias_value":"E7OEHZXQHONLWAMC","created_at":"2026-07-05T06:56:37Z"},{"alias_kind":"pith_short_8","alias_value":"E7OEHZXQ","created_at":"2026-07-05T06:56:37Z"}],"graph_snapshots":[{"event_id":"sha256:d6e61d62e6e913ac7ef14e59c0008e4f921a3b1313c78869db75a48ed4294a32","target":"graph","created_at":"2026-07-05T06:56:37Z","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/2307.16412/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"With an excellent balance between speed and accuracy, cutting-edge YOLO frameworks have become one of the most efficient algorithms for object detection. However, the performance of using YOLO networks is scarcely investigated in brain tumor detection. We propose a novel YOLO architecture with Reparameterized Convolution based on channel Shuffle (RCS-YOLO). We present RCS and a One-Shot Aggregation of RCS (RCS-OSA), which link feature cascade and computation efficiency to extract richer information and reduce time consumption. Experimental results on the brain tumor dataset Br35H show that the","authors_text":"Chee-Ming Ting, Fung Fung Ting, Ming Kang, Rapha\\\"el C.-W. Phan","cross_cats":["eess.SP","stat.AP","stat.ML"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-07-31T05:38:17Z","title":"RCS-YOLO: A Fast and High-Accuracy Object Detector for Brain Tumor Detection"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2307.16412","kind":"arxiv","version":2},"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":"sha256:5e728493a11db50cde036c2924f4b3b8a3ffe7e290f7330d77fa2846874f294f","target":"record","created_at":"2026-07-05T06:56:37Z","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":"b371fb6160e7d4e4670fbee4a1bbf7b930542be0f5f191bc4a1eb72646c24a50","cross_cats_sorted":["eess.SP","stat.AP","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-07-31T05:38:17Z","title_canon_sha256":"c5bfbfc8f14cfffcbe3fc82cb96f0312fa322d5d53f326e89cb742d57e187f7b"},"schema_version":"1.0","source":{"id":"2307.16412","kind":"arxiv","version":2}},"canonical_sha256":"27dc43e6f03b9abb01822d02eab241313017476faffe4d6e067d800e2a4bbb53","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"27dc43e6f03b9abb01822d02eab241313017476faffe4d6e067d800e2a4bbb53","first_computed_at":"2026-07-05T06:56:37.450979Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T06:56:37.450979Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"bhni618WpbiavNcI3SXEVB/FlCU7DXEvI8FhuEyzVACEwE0y0l7HhbrdkA+8hELBAx8wfrhyZ+IZFYig0dCxCg==","signature_status":"signed_v1","signed_at":"2026-07-05T06:56:37.451398Z","signed_message":"canonical_sha256_bytes"},"source_id":"2307.16412","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:5e728493a11db50cde036c2924f4b3b8a3ffe7e290f7330d77fa2846874f294f","sha256:d6e61d62e6e913ac7ef14e59c0008e4f921a3b1313c78869db75a48ed4294a32"],"state_sha256":"c09f9a6534bd7ce0f9fd18b2ec3dcfdd134a12b4ab7a6384f2bc243fe891098c"}