{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:SASGGXZNCLC5Q2HY7RJN4Y2U6Z","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":"2579dbf6bdd03a04401c5e7dd6060637a1ec87276b85147ca9b493617e7315a9","cross_cats_sorted":["cs.AI","cs.LG","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-05-06T21:32:14Z","title_canon_sha256":"78dad7fe2b383f23fb34c63ea1b4463e186b7728ea4ae59db4c3060b484de420"},"schema_version":"1.0","source":{"id":"1805.02279","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1805.02279","created_at":"2026-05-18T00:02:59Z"},{"alias_kind":"arxiv_version","alias_value":"1805.02279v2","created_at":"2026-05-18T00:02:59Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1805.02279","created_at":"2026-05-18T00:02:59Z"},{"alias_kind":"pith_short_12","alias_value":"SASGGXZNCLC5","created_at":"2026-05-18T12:32:50Z"},{"alias_kind":"pith_short_16","alias_value":"SASGGXZNCLC5Q2HY","created_at":"2026-05-18T12:32:50Z"},{"alias_kind":"pith_short_8","alias_value":"SASGGXZN","created_at":"2026-05-18T12:32:50Z"}],"graph_snapshots":[{"event_id":"sha256:0752ec346a1b046d12e9152d5a51e74788b9e0705fd1a236e07350d3dff3969e","target":"graph","created_at":"2026-05-18T00:02:59Z","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"},"paper":{"abstract_excerpt":"The state of the art lung nodule detection studies rely on computationally expensive multi-stage frameworks to detect nodules from CT scans. To address this computational challenge and provide better performance, in this paper we propose S4ND, a new deep learning based method for lung nodule detection. Our approach uses a single feed forward pass of a single network for detection and provides better performance when compared to the current literature. The whole detection pipeline is designed as a single $3D$ Convolutional Neural Network (CNN) with dense connections, trained in an end-to-end ma","authors_text":"Naji Khosravan, Ulas Bagci","cross_cats":["cs.AI","cs.LG","stat.ML"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-05-06T21:32:14Z","title":"S4ND: Single-Shot Single-Scale Lung Nodule Detection"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1805.02279","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":"sha256:63e8e7d204084086bcea65f26357f2aac79b337d80e17fbddac11379748ac2d3","target":"record","created_at":"2026-05-18T00:02:59Z","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":"2579dbf6bdd03a04401c5e7dd6060637a1ec87276b85147ca9b493617e7315a9","cross_cats_sorted":["cs.AI","cs.LG","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-05-06T21:32:14Z","title_canon_sha256":"78dad7fe2b383f23fb34c63ea1b4463e186b7728ea4ae59db4c3060b484de420"},"schema_version":"1.0","source":{"id":"1805.02279","kind":"arxiv","version":2}},"canonical_sha256":"9024635f2d12c5d868f8fc52de6354f656a629f0868a6c8f56ceb81dd73d0040","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"9024635f2d12c5d868f8fc52de6354f656a629f0868a6c8f56ceb81dd73d0040","first_computed_at":"2026-05-18T00:02:59.838560Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:02:59.838560Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"AoABgnPEsPhX1qCy4cbSyXGh5jhOpb/35ugyLNvoe6t2VzJ9Rw0oeFHVq+bf6/tDGHg++UzfiWG6D3yovNn5Dw==","signature_status":"signed_v1","signed_at":"2026-05-18T00:02:59.839216Z","signed_message":"canonical_sha256_bytes"},"source_id":"1805.02279","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:63e8e7d204084086bcea65f26357f2aac79b337d80e17fbddac11379748ac2d3","sha256:0752ec346a1b046d12e9152d5a51e74788b9e0705fd1a236e07350d3dff3969e"],"state_sha256":"cef846f0757b00ebd08b89a2e657374bf2b8fd13630d21c88f11193e1d188317"}