{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2021:4ZFVAQK6TLFGLWJGV3VZ3VQVWY","short_pith_number":"pith:4ZFVAQK6","canonical_record":{"source":{"id":"2103.15158","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2021-03-28T15:53:34Z","cross_cats_sorted":[],"title_canon_sha256":"f47e2c0b3c5ffa567b653545b5ba9ba64148165aa9281c442b0e48743a2b958d","abstract_canon_sha256":"055d1d4decb10213ca60d28b5eb0048d0dd495f84991dd6dfbd07b20289b3ab8"},"schema_version":"1.0"},"canonical_sha256":"e64b50415e9aca65d926aeeb9dd615b6175b61dc44e0219328f8a6440cfd02e9","source":{"kind":"arxiv","id":"2103.15158","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2103.15158","created_at":"2026-07-05T02:27:03Z"},{"alias_kind":"arxiv_version","alias_value":"2103.15158v1","created_at":"2026-07-05T02:27:03Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2103.15158","created_at":"2026-07-05T02:27:03Z"},{"alias_kind":"pith_short_12","alias_value":"4ZFVAQK6TLFG","created_at":"2026-07-05T02:27:03Z"},{"alias_kind":"pith_short_16","alias_value":"4ZFVAQK6TLFGLWJG","created_at":"2026-07-05T02:27:03Z"},{"alias_kind":"pith_short_8","alias_value":"4ZFVAQK6","created_at":"2026-07-05T02:27:03Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2021:4ZFVAQK6TLFGLWJGV3VZ3VQVWY","target":"record","payload":{"canonical_record":{"source":{"id":"2103.15158","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2021-03-28T15:53:34Z","cross_cats_sorted":[],"title_canon_sha256":"f47e2c0b3c5ffa567b653545b5ba9ba64148165aa9281c442b0e48743a2b958d","abstract_canon_sha256":"055d1d4decb10213ca60d28b5eb0048d0dd495f84991dd6dfbd07b20289b3ab8"},"schema_version":"1.0"},"canonical_sha256":"e64b50415e9aca65d926aeeb9dd615b6175b61dc44e0219328f8a6440cfd02e9","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T02:27:03.154464Z","signature_b64":"5wPE/7fz6JJI1aXgGYnG73u+/XafHu6ZTdV5hOxXBbACmDk6iyxmaoRdpKKjW5fn1clhw0XGP3ec/g7TBKHwDA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"e64b50415e9aca65d926aeeb9dd615b6175b61dc44e0219328f8a6440cfd02e9","last_reissued_at":"2026-07-05T02:27:03.154040Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T02:27:03.154040Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2103.15158","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T02:27:03Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"S1yKMWKh+kOHaZVxDHr1TbbAvO9GYzqb2NaJh6DKpIn36oTyzIQaIYIuuLoZUcj2mXlt2XBYXwtV68ob5NhyAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T09:45:32.185628Z"},"content_sha256":"2aa3ec8fa1d9a79b6066bb246438a9eb82ecc727c7e45956346702d650a21172","schema_version":"1.0","event_id":"sha256:2aa3ec8fa1d9a79b6066bb246438a9eb82ecc727c7e45956346702d650a21172"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2021:4ZFVAQK6TLFGLWJGV3VZ3VQVWY","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Defect-GAN: High-Fidelity Defect Synthesis for Automated Defect Inspection","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Gongjie Zhang, Kaiwen Cui, Shijian Lu, Tzu-Yi Hung","submitted_at":"2021-03-28T15:53:34Z","abstract_excerpt":"Automated defect inspection is critical for effective and efficient maintenance, repair, and operations in advanced manufacturing. On the other hand, automated defect inspection is often constrained by the lack of defect samples, especially when we adopt deep neural networks for this task. This paper presents Defect-GAN, an automated defect synthesis network that generates realistic and diverse defect samples for training accurate and robust defect inspection networks. Defect-GAN learns through defacement and restoration processes, where the defacement generates defects on normal surface image"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2103.15158","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/2103.15158/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":"2026-07-05T02:27:03Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"zDVEvfYBzoW7lHeX45umZKo9vUFGMA2SAIzmi+8mISmkHG4TG0Fv0DYFi4x2+sRK5yFpralMEw/Rp19TrggdCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T09:45:32.186004Z"},"content_sha256":"f95c14e902252a46496db2faf883773c3ddc896956ee3a0845f38111fe988cce","schema_version":"1.0","event_id":"sha256:f95c14e902252a46496db2faf883773c3ddc896956ee3a0845f38111fe988cce"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/4ZFVAQK6TLFGLWJGV3VZ3VQVWY/bundle.json","state_url":"https://pith.science/pith/4ZFVAQK6TLFGLWJGV3VZ3VQVWY/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/4ZFVAQK6TLFGLWJGV3VZ3VQVWY/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":"2026-07-07T09:45:32Z","links":{"resolver":"https://pith.science/pith/4ZFVAQK6TLFGLWJGV3VZ3VQVWY","bundle":"https://pith.science/pith/4ZFVAQK6TLFGLWJGV3VZ3VQVWY/bundle.json","state":"https://pith.science/pith/4ZFVAQK6TLFGLWJGV3VZ3VQVWY/state.json","well_known_bundle":"https://pith.science/.well-known/pith/4ZFVAQK6TLFGLWJGV3VZ3VQVWY/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:4ZFVAQK6TLFGLWJGV3VZ3VQVWY","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":"055d1d4decb10213ca60d28b5eb0048d0dd495f84991dd6dfbd07b20289b3ab8","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2021-03-28T15:53:34Z","title_canon_sha256":"f47e2c0b3c5ffa567b653545b5ba9ba64148165aa9281c442b0e48743a2b958d"},"schema_version":"1.0","source":{"id":"2103.15158","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2103.15158","created_at":"2026-07-05T02:27:03Z"},{"alias_kind":"arxiv_version","alias_value":"2103.15158v1","created_at":"2026-07-05T02:27:03Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2103.15158","created_at":"2026-07-05T02:27:03Z"},{"alias_kind":"pith_short_12","alias_value":"4ZFVAQK6TLFG","created_at":"2026-07-05T02:27:03Z"},{"alias_kind":"pith_short_16","alias_value":"4ZFVAQK6TLFGLWJG","created_at":"2026-07-05T02:27:03Z"},{"alias_kind":"pith_short_8","alias_value":"4ZFVAQK6","created_at":"2026-07-05T02:27:03Z"}],"graph_snapshots":[{"event_id":"sha256:f95c14e902252a46496db2faf883773c3ddc896956ee3a0845f38111fe988cce","target":"graph","created_at":"2026-07-05T02:27:03Z","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/2103.15158/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Automated defect inspection is critical for effective and efficient maintenance, repair, and operations in advanced manufacturing. On the other hand, automated defect inspection is often constrained by the lack of defect samples, especially when we adopt deep neural networks for this task. This paper presents Defect-GAN, an automated defect synthesis network that generates realistic and diverse defect samples for training accurate and robust defect inspection networks. Defect-GAN learns through defacement and restoration processes, where the defacement generates defects on normal surface image","authors_text":"Gongjie Zhang, Kaiwen Cui, Shijian Lu, Tzu-Yi Hung","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2021-03-28T15:53:34Z","title":"Defect-GAN: High-Fidelity Defect Synthesis for Automated Defect Inspection"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2103.15158","kind":"arxiv","version":1},"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":"sha256:2aa3ec8fa1d9a79b6066bb246438a9eb82ecc727c7e45956346702d650a21172","target":"record","created_at":"2026-07-05T02:27:03Z","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":"055d1d4decb10213ca60d28b5eb0048d0dd495f84991dd6dfbd07b20289b3ab8","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2021-03-28T15:53:34Z","title_canon_sha256":"f47e2c0b3c5ffa567b653545b5ba9ba64148165aa9281c442b0e48743a2b958d"},"schema_version":"1.0","source":{"id":"2103.15158","kind":"arxiv","version":1}},"canonical_sha256":"e64b50415e9aca65d926aeeb9dd615b6175b61dc44e0219328f8a6440cfd02e9","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"e64b50415e9aca65d926aeeb9dd615b6175b61dc44e0219328f8a6440cfd02e9","first_computed_at":"2026-07-05T02:27:03.154040Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T02:27:03.154040Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"5wPE/7fz6JJI1aXgGYnG73u+/XafHu6ZTdV5hOxXBbACmDk6iyxmaoRdpKKjW5fn1clhw0XGP3ec/g7TBKHwDA==","signature_status":"signed_v1","signed_at":"2026-07-05T02:27:03.154464Z","signed_message":"canonical_sha256_bytes"},"source_id":"2103.15158","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:2aa3ec8fa1d9a79b6066bb246438a9eb82ecc727c7e45956346702d650a21172","sha256:f95c14e902252a46496db2faf883773c3ddc896956ee3a0845f38111fe988cce"],"state_sha256":"fa41db766686a6d08224dd588ed6a954b17ca113d0bba8e11763f4d846a74ef3"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"EmOMpotFfDH8yIkHSfW1OF/lNPv9UT32fXC3srJbA8y/qkR4IqfS9oTqsM6w0BsNvFAWf2SoBY/Wib8gQq8VAA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-07T09:45:32.187960Z","bundle_sha256":"45efbb72fb873cb62a847e9d683c4b29441d6db39ada288a4d72ac81ff36c3f2"}}