{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2013:ZCNQC47SSIFARYPLOZ3BARNRDH","short_pith_number":"pith:ZCNQC47S","schema_version":"1.0","canonical_sha256":"c89b0173f2920a08e1eb76761045b119f650b32cb9089e7ed5fbbf7e76ec9737","source":{"kind":"arxiv","id":"1310.0306","version":1},"attestation_state":"computed","paper":{"title":"Flexible Visual Quality Inspection in Discrete Manufacturing","license":"http://creativecommons.org/licenses/by-nc-sa/3.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Darko Juri\\'c, Sven Lon\\v{c}ari\\'c, Tomislav Petkovi\\'c","submitted_at":"2013-10-01T14:12:01Z","abstract_excerpt":"Most visual quality inspections in discrete manufacturing are composed of length, surface, angle or intensity measurements. Those are implemented as end-user configurable inspection tools that should not require an image processing expert to set up. Currently available software solutions providing such capability use a flowchart based programming environment, but do not fully address an inspection flowchart robustness and can require a redefinition of the flowchart if a small variation is introduced. In this paper we propose an acquire-register-analyze image processing pattern designed for dis"},"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":"1310.0306","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/3.0/","primary_cat":"cs.CV","submitted_at":"2013-10-01T14:12:01Z","cross_cats_sorted":[],"title_canon_sha256":"cbb043359f628470bd752194ec97cdc8e6569325adc4b8faf58e0375be1c9957","abstract_canon_sha256":"841f59d438408e65a0712ac1535e02f3bdf91a674cf078920ee71e47f3ec8260"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T03:11:36.754061Z","signature_b64":"QoArfx5TlquoQm8vFGloR5rN1AsxCoucaPIGDKS/zM8PaQeKmj57USXiZYm10+Zbtu5DYqPnfWDEZ8eM3dKeCA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"c89b0173f2920a08e1eb76761045b119f650b32cb9089e7ed5fbbf7e76ec9737","last_reissued_at":"2026-05-18T03:11:36.753231Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T03:11:36.753231Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Flexible Visual Quality Inspection in Discrete Manufacturing","license":"http://creativecommons.org/licenses/by-nc-sa/3.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Darko Juri\\'c, Sven Lon\\v{c}ari\\'c, Tomislav Petkovi\\'c","submitted_at":"2013-10-01T14:12:01Z","abstract_excerpt":"Most visual quality inspections in discrete manufacturing are composed of length, surface, angle or intensity measurements. Those are implemented as end-user configurable inspection tools that should not require an image processing expert to set up. Currently available software solutions providing such capability use a flowchart based programming environment, but do not fully address an inspection flowchart robustness and can require a redefinition of the flowchart if a small variation is introduced. In this paper we propose an acquire-register-analyze image processing pattern designed for dis"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1310.0306","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":""},"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":"1310.0306","created_at":"2026-05-18T03:11:36.753365+00:00"},{"alias_kind":"arxiv_version","alias_value":"1310.0306v1","created_at":"2026-05-18T03:11:36.753365+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1310.0306","created_at":"2026-05-18T03:11:36.753365+00:00"},{"alias_kind":"pith_short_12","alias_value":"ZCNQC47SSIFA","created_at":"2026-05-18T12:28:09.283467+00:00"},{"alias_kind":"pith_short_16","alias_value":"ZCNQC47SSIFARYPL","created_at":"2026-05-18T12:28:09.283467+00:00"},{"alias_kind":"pith_short_8","alias_value":"ZCNQC47S","created_at":"2026-05-18T12:28:09.283467+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/ZCNQC47SSIFARYPLOZ3BARNRDH","json":"https://pith.science/pith/ZCNQC47SSIFARYPLOZ3BARNRDH.json","graph_json":"https://pith.science/api/pith-number/ZCNQC47SSIFARYPLOZ3BARNRDH/graph.json","events_json":"https://pith.science/api/pith-number/ZCNQC47SSIFARYPLOZ3BARNRDH/events.json","paper":"https://pith.science/paper/ZCNQC47S"},"agent_actions":{"view_html":"https://pith.science/pith/ZCNQC47SSIFARYPLOZ3BARNRDH","download_json":"https://pith.science/pith/ZCNQC47SSIFARYPLOZ3BARNRDH.json","view_paper":"https://pith.science/paper/ZCNQC47S","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1310.0306&json=true","fetch_graph":"https://pith.science/api/pith-number/ZCNQC47SSIFARYPLOZ3BARNRDH/graph.json","fetch_events":"https://pith.science/api/pith-number/ZCNQC47SSIFARYPLOZ3BARNRDH/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/ZCNQC47SSIFARYPLOZ3BARNRDH/action/timestamp_anchor","attest_storage":"https://pith.science/pith/ZCNQC47SSIFARYPLOZ3BARNRDH/action/storage_attestation","attest_author":"https://pith.science/pith/ZCNQC47SSIFARYPLOZ3BARNRDH/action/author_attestation","sign_citation":"https://pith.science/pith/ZCNQC47SSIFARYPLOZ3BARNRDH/action/citation_signature","submit_replication":"https://pith.science/pith/ZCNQC47SSIFARYPLOZ3BARNRDH/action/replication_record"}},"created_at":"2026-05-18T03:11:36.753365+00:00","updated_at":"2026-05-18T03:11:36.753365+00:00"}