{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2021:TUGG5QGLUJ33T3AOY2WRD5FX4A","short_pith_number":"pith:TUGG5QGL","canonical_record":{"source":{"id":"2108.06760","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2021-08-15T15:29:26Z","cross_cats_sorted":[],"title_canon_sha256":"84f93529d64f0272fdcb5a1a782994a07726bec38b43a2350e80e662d0ee48bb","abstract_canon_sha256":"3ffbb923e99afae9934d50f2f08d0746ec5254b4bbb2bbe3482f75326fa4d344"},"schema_version":"1.0"},"canonical_sha256":"9d0c6ec0cba277b9ec0ec6ad11f4b7e0022816fc783d3313913ee66e24e3a6b6","source":{"kind":"arxiv","id":"2108.06760","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2108.06760","created_at":"2026-07-05T03:15:36Z"},{"alias_kind":"arxiv_version","alias_value":"2108.06760v2","created_at":"2026-07-05T03:15:36Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2108.06760","created_at":"2026-07-05T03:15:36Z"},{"alias_kind":"pith_short_12","alias_value":"TUGG5QGLUJ33","created_at":"2026-07-05T03:15:36Z"},{"alias_kind":"pith_short_16","alias_value":"TUGG5QGLUJ33T3AO","created_at":"2026-07-05T03:15:36Z"},{"alias_kind":"pith_short_8","alias_value":"TUGG5QGL","created_at":"2026-07-05T03:15:36Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2021:TUGG5QGLUJ33T3AOY2WRD5FX4A","target":"record","payload":{"canonical_record":{"source":{"id":"2108.06760","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2021-08-15T15:29:26Z","cross_cats_sorted":[],"title_canon_sha256":"84f93529d64f0272fdcb5a1a782994a07726bec38b43a2350e80e662d0ee48bb","abstract_canon_sha256":"3ffbb923e99afae9934d50f2f08d0746ec5254b4bbb2bbe3482f75326fa4d344"},"schema_version":"1.0"},"canonical_sha256":"9d0c6ec0cba277b9ec0ec6ad11f4b7e0022816fc783d3313913ee66e24e3a6b6","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T03:15:36.131632Z","signature_b64":"O/Uu3l0ttACII8M4Rq2xu41cFdX5vb2FWzd0rkdfDFNSdaxt0o0/kyn8VimZn+1ZIsiU1gvGAgTkBLPOQApZBg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"9d0c6ec0cba277b9ec0ec6ad11f4b7e0022816fc783d3313913ee66e24e3a6b6","last_reissued_at":"2026-07-05T03:15:36.131224Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T03:15:36.131224Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2108.06760","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T03:15:36Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"O7fur/lbcYh553RYJ3CHsTkIuCGdvsx5MqJLDRGZcUUANJM7hWtnmB/rCKDBsgwXNQaLMo39lRYrxVV83zrCCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T01:05:32.961273Z"},"content_sha256":"ea97f7410c572149d8dec3881cf8fb349206747b9afd1a8af5a5290b93c98ea0","schema_version":"1.0","event_id":"sha256:ea97f7410c572149d8dec3881cf8fb349206747b9afd1a8af5a5290b93c98ea0"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2021:TUGG5QGLUJ33T3AOY2WRD5FX4A","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"A Cascaded Zoom-In Network for Patterned Fabric Defect Detection","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Zhiwei Zhang","submitted_at":"2021-08-15T15:29:26Z","abstract_excerpt":"Nowadays, Deep Convolutional Neural Networks (DCNNs) are widely used in fabric defect detection, which come with the cost of expensive training and complex model parameters. With the observation that most fabrics are defect free in practice, a two-step Cascaded Zoom-In Network (CZI-Net) is proposed for patterned fabric defect detection. In the CZI-Net, the Aggregated HOG (A-HOG) and SIFT features are used to instead of simple convolution filters for feature extraction. Moreover, in order to extract more distinctive features, the feature representation layer and full connection layer are includ"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2108.06760","kind":"arxiv","version":2},"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/2108.06760/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"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T03:15:36Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"AYp84JlTohnwLxt8w876mJ/LL7tM7aOmjALFxdKWUVO6zECx3tLE/ebyxvo5qb60XnjwgaxCs23NQTdCdNXyBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T01:05:32.961972Z"},"content_sha256":"8c388aaee02031a22c494e67211e698c293a802d4b529247ad03dd61586ddd23","schema_version":"1.0","event_id":"sha256:8c388aaee02031a22c494e67211e698c293a802d4b529247ad03dd61586ddd23"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/TUGG5QGLUJ33T3AOY2WRD5FX4A/bundle.json","state_url":"https://pith.science/pith/TUGG5QGLUJ33T3AOY2WRD5FX4A/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/TUGG5QGLUJ33T3AOY2WRD5FX4A/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-08-07T01:05:32Z","links":{"resolver":"https://pith.science/pith/TUGG5QGLUJ33T3AOY2WRD5FX4A","bundle":"https://pith.science/pith/TUGG5QGLUJ33T3AOY2WRD5FX4A/bundle.json","state":"https://pith.science/pith/TUGG5QGLUJ33T3AOY2WRD5FX4A/state.json","well_known_bundle":"https://pith.science/.well-known/pith/TUGG5QGLUJ33T3AOY2WRD5FX4A/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:TUGG5QGLUJ33T3AOY2WRD5FX4A","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":"3ffbb923e99afae9934d50f2f08d0746ec5254b4bbb2bbe3482f75326fa4d344","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2021-08-15T15:29:26Z","title_canon_sha256":"84f93529d64f0272fdcb5a1a782994a07726bec38b43a2350e80e662d0ee48bb"},"schema_version":"1.0","source":{"id":"2108.06760","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2108.06760","created_at":"2026-07-05T03:15:36Z"},{"alias_kind":"arxiv_version","alias_value":"2108.06760v2","created_at":"2026-07-05T03:15:36Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2108.06760","created_at":"2026-07-05T03:15:36Z"},{"alias_kind":"pith_short_12","alias_value":"TUGG5QGLUJ33","created_at":"2026-07-05T03:15:36Z"},{"alias_kind":"pith_short_16","alias_value":"TUGG5QGLUJ33T3AO","created_at":"2026-07-05T03:15:36Z"},{"alias_kind":"pith_short_8","alias_value":"TUGG5QGL","created_at":"2026-07-05T03:15:36Z"}],"graph_snapshots":[{"event_id":"sha256:8c388aaee02031a22c494e67211e698c293a802d4b529247ad03dd61586ddd23","target":"graph","created_at":"2026-07-05T03:15:36Z","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/2108.06760/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Nowadays, Deep Convolutional Neural Networks (DCNNs) are widely used in fabric defect detection, which come with the cost of expensive training and complex model parameters. With the observation that most fabrics are defect free in practice, a two-step Cascaded Zoom-In Network (CZI-Net) is proposed for patterned fabric defect detection. In the CZI-Net, the Aggregated HOG (A-HOG) and SIFT features are used to instead of simple convolution filters for feature extraction. Moreover, in order to extract more distinctive features, the feature representation layer and full connection layer are includ","authors_text":"Zhiwei Zhang","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2021-08-15T15:29:26Z","title":"A Cascaded Zoom-In Network for Patterned Fabric Defect Detection"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2108.06760","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:ea97f7410c572149d8dec3881cf8fb349206747b9afd1a8af5a5290b93c98ea0","target":"record","created_at":"2026-07-05T03:15:36Z","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":"3ffbb923e99afae9934d50f2f08d0746ec5254b4bbb2bbe3482f75326fa4d344","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2021-08-15T15:29:26Z","title_canon_sha256":"84f93529d64f0272fdcb5a1a782994a07726bec38b43a2350e80e662d0ee48bb"},"schema_version":"1.0","source":{"id":"2108.06760","kind":"arxiv","version":2}},"canonical_sha256":"9d0c6ec0cba277b9ec0ec6ad11f4b7e0022816fc783d3313913ee66e24e3a6b6","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"9d0c6ec0cba277b9ec0ec6ad11f4b7e0022816fc783d3313913ee66e24e3a6b6","first_computed_at":"2026-07-05T03:15:36.131224Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T03:15:36.131224Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"O/Uu3l0ttACII8M4Rq2xu41cFdX5vb2FWzd0rkdfDFNSdaxt0o0/kyn8VimZn+1ZIsiU1gvGAgTkBLPOQApZBg==","signature_status":"signed_v1","signed_at":"2026-07-05T03:15:36.131632Z","signed_message":"canonical_sha256_bytes"},"source_id":"2108.06760","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:ea97f7410c572149d8dec3881cf8fb349206747b9afd1a8af5a5290b93c98ea0","sha256:8c388aaee02031a22c494e67211e698c293a802d4b529247ad03dd61586ddd23"],"state_sha256":"eb5340db2fcd3e44463a5d0b89bb643ceca4386ef51c67d997b5aec8eba4e393"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"9b1iC1wRI6terzae4d9WflpyIQBlzPJh4di2lfj+CYWRXoez4qmpsZzUGMfiymnrZS8vo+8fStnekOpLkzpBAQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-07T01:05:32.965867Z","bundle_sha256":"4dbd140948d5b0d1366b9695152c72ad0849c6170fa1e2d1d9f4c648f2cc1095"}}