{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2026:GDQDKWZVFR2TQBTCKOPLRAE64F","short_pith_number":"pith:GDQDKWZV","schema_version":"1.0","canonical_sha256":"30e0355b352c75380662539eb8809ee17cd7caa039a5a36173787cf319befa94","source":{"kind":"arxiv","id":"2606.12958","version":1},"attestation_state":"computed","paper":{"title":"YOLO-AMC: An Improved YOLO Architecture with Attention Mechanisms for Building Crack Detection","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Chia-Min Lin, Chih-Hsiang Yang, Ching-Yu Tsai, Jen-Shiun Chiang, Yung-Che Wang","submitted_at":"2026-06-11T06:35:07Z","abstract_excerpt":"Crack detection plays an important role in infrastructure inspection and Structural Health Monitoring (SHM). However, cracks typically appear as thin, low-contrast structures and are easily affected by background noise, posing challenges for existing object detection models. This study proposes an improved YOLO-based architecture with integrated attention mechanisms, termed YOLO-AMC (YOLO with Attention Mechanisms for Crack Detection), to enhance automated crack detection performance. Based on YOLOv11, the original C2PSA module is removed, and multiple attention mechanisms, including Global At"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2606.12958","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-06-11T06:35:07Z","cross_cats_sorted":[],"title_canon_sha256":"6a345eda1842ebda9ad6b3053bb27fd67ba17ba89bfcfddc3ceba18d86f2a357","abstract_canon_sha256":"c835280f25ad8bd930f6c212f83851759d35502cfc6cc0be982690581ac48f85"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-06-12T01:09:35.525615Z","signature_b64":"JXvg6rbDsnRDX6odTNQKyuGb2T12x6PQaAiPFpR/qujih+/CtfJ/Ukfgd+w3g+ZwUZxD80J8lRdTLO8OpP7zBw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"30e0355b352c75380662539eb8809ee17cd7caa039a5a36173787cf319befa94","last_reissued_at":"2026-06-12T01:09:35.525207Z","signature_status":"signed_v1","first_computed_at":"2026-06-12T01:09:35.525207Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"YOLO-AMC: An Improved YOLO Architecture with Attention Mechanisms for Building Crack Detection","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Chia-Min Lin, Chih-Hsiang Yang, Ching-Yu Tsai, Jen-Shiun Chiang, Yung-Che Wang","submitted_at":"2026-06-11T06:35:07Z","abstract_excerpt":"Crack detection plays an important role in infrastructure inspection and Structural Health Monitoring (SHM). However, cracks typically appear as thin, low-contrast structures and are easily affected by background noise, posing challenges for existing object detection models. This study proposes an improved YOLO-based architecture with integrated attention mechanisms, termed YOLO-AMC (YOLO with Attention Mechanisms for Crack Detection), to enhance automated crack detection performance. Based on YOLOv11, the original C2PSA module is removed, and multiple attention mechanisms, including Global At"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.12958","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2606.12958/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"aliases":[{"alias_kind":"arxiv","alias_value":"2606.12958","created_at":"2026-06-12T01:09:35.525273+00:00"},{"alias_kind":"arxiv_version","alias_value":"2606.12958v1","created_at":"2026-06-12T01:09:35.525273+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.12958","created_at":"2026-06-12T01:09:35.525273+00:00"},{"alias_kind":"pith_short_12","alias_value":"GDQDKWZVFR2T","created_at":"2026-06-12T01:09:35.525273+00:00"},{"alias_kind":"pith_short_16","alias_value":"GDQDKWZVFR2TQBTC","created_at":"2026-06-12T01:09:35.525273+00:00"},{"alias_kind":"pith_short_8","alias_value":"GDQDKWZV","created_at":"2026-06-12T01:09:35.525273+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/GDQDKWZVFR2TQBTCKOPLRAE64F","json":"https://pith.science/pith/GDQDKWZVFR2TQBTCKOPLRAE64F.json","graph_json":"https://pith.science/api/pith-number/GDQDKWZVFR2TQBTCKOPLRAE64F/graph.json","events_json":"https://pith.science/api/pith-number/GDQDKWZVFR2TQBTCKOPLRAE64F/events.json","paper":"https://pith.science/paper/GDQDKWZV"},"agent_actions":{"view_html":"https://pith.science/pith/GDQDKWZVFR2TQBTCKOPLRAE64F","download_json":"https://pith.science/pith/GDQDKWZVFR2TQBTCKOPLRAE64F.json","view_paper":"https://pith.science/paper/GDQDKWZV","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2606.12958&json=true","fetch_graph":"https://pith.science/api/pith-number/GDQDKWZVFR2TQBTCKOPLRAE64F/graph.json","fetch_events":"https://pith.science/api/pith-number/GDQDKWZVFR2TQBTCKOPLRAE64F/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/GDQDKWZVFR2TQBTCKOPLRAE64F/action/timestamp_anchor","attest_storage":"https://pith.science/pith/GDQDKWZVFR2TQBTCKOPLRAE64F/action/storage_attestation","attest_author":"https://pith.science/pith/GDQDKWZVFR2TQBTCKOPLRAE64F/action/author_attestation","sign_citation":"https://pith.science/pith/GDQDKWZVFR2TQBTCKOPLRAE64F/action/citation_signature","submit_replication":"https://pith.science/pith/GDQDKWZVFR2TQBTCKOPLRAE64F/action/replication_record"}},"created_at":"2026-06-12T01:09:35.525273+00:00","updated_at":"2026-06-12T01:09:35.525273+00:00"}