{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:JEDCLSTA4TPTYL2NSDJKIDZ7RP","short_pith_number":"pith:JEDCLSTA","canonical_record":{"source":{"id":"2412.16935","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-12-22T09:14:01Z","cross_cats_sorted":[],"title_canon_sha256":"b86bf4a4956502486f8cf925f04a8507faf2e9b6d3d35b36d379d7c89c225241","abstract_canon_sha256":"3c65eefb0556b76ed80b59aae9418f946823ec79257d285c55653b71e383ab18"},"schema_version":"1.0"},"canonical_sha256":"490625ca60e4df3c2f4d90d2a40f3f8bfe7deff4ca6d0e13557b5975cc0ea806","source":{"kind":"arxiv","id":"2412.16935","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2412.16935","created_at":"2026-07-05T09:53:15Z"},{"alias_kind":"arxiv_version","alias_value":"2412.16935v1","created_at":"2026-07-05T09:53:15Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2412.16935","created_at":"2026-07-05T09:53:15Z"},{"alias_kind":"pith_short_12","alias_value":"JEDCLSTA4TPT","created_at":"2026-07-05T09:53:15Z"},{"alias_kind":"pith_short_16","alias_value":"JEDCLSTA4TPTYL2N","created_at":"2026-07-05T09:53:15Z"},{"alias_kind":"pith_short_8","alias_value":"JEDCLSTA","created_at":"2026-07-05T09:53:15Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:JEDCLSTA4TPTYL2NSDJKIDZ7RP","target":"record","payload":{"canonical_record":{"source":{"id":"2412.16935","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-12-22T09:14:01Z","cross_cats_sorted":[],"title_canon_sha256":"b86bf4a4956502486f8cf925f04a8507faf2e9b6d3d35b36d379d7c89c225241","abstract_canon_sha256":"3c65eefb0556b76ed80b59aae9418f946823ec79257d285c55653b71e383ab18"},"schema_version":"1.0"},"canonical_sha256":"490625ca60e4df3c2f4d90d2a40f3f8bfe7deff4ca6d0e13557b5975cc0ea806","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:53:15.010922Z","signature_b64":"hfGuY2JDlKeFwcYzC5h7RMWVQr+TosPV5prLohgTwrTsIMthtts4MxX6Cq6wfo9VI0TvNfRCojm8+LsUU82xCQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"490625ca60e4df3c2f4d90d2a40f3f8bfe7deff4ca6d0e13557b5975cc0ea806","last_reissued_at":"2026-07-05T09:53:15.010467Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:53:15.010467Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2412.16935","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":"2026-07-05T09:53:15Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"i6pMguKQO+5iTWvNmgXfc69AMvMa05zbK4V1quDUtG3iBHOR6mdSDI5gPy9H2D/VPhFNTppCW5INcspO4GOwDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-11T13:40:59.295210Z"},"content_sha256":"43b83985db10342b8d1b0aa287610047f399e030822e54abc00df152bb4b0fce","schema_version":"1.0","event_id":"sha256:43b83985db10342b8d1b0aa287610047f399e030822e54abc00df152bb4b0fce"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:JEDCLSTA4TPTYL2NSDJKIDZ7RP","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Detecting and Classifying Defective Products in Images Using YOLO","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Ao Xiang, Bin Lyu, Jiacheng Hu, Liwei Ding, Xiangtian Li, Zhen Qi","submitted_at":"2024-12-22T09:14:01Z","abstract_excerpt":"With the continuous advancement of industrial automation, product quality inspection has become increasingly important in the manufacturing process. Traditional inspection methods, which often rely on manual checks or simple machine vision techniques, suffer from low efficiency and insufficient accuracy. In recent years, deep learning technology, especially the YOLO (You Only Look Once) algorithm, has emerged as a prominent solution in the field of product defect detection due to its efficient real-time detection capabilities and excellent classification performance. This study aims to use the"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2412.16935","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/2412.16935/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":"2026-07-05T09:53:15Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"7mfFkvTVRwz5EDcBsr3/wPq6hD/biKBAW1osLSO9DpMpnxM8FMq9RndPlbQxTfNOW014iWJFUMPhFc8UNKXLCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-11T13:40:59.295779Z"},"content_sha256":"e7434f257ac3238657b67933c2cb9a717307357bd398360bdf10f3d7a838a9a2","schema_version":"1.0","event_id":"sha256:e7434f257ac3238657b67933c2cb9a717307357bd398360bdf10f3d7a838a9a2"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/JEDCLSTA4TPTYL2NSDJKIDZ7RP/bundle.json","state_url":"https://pith.science/pith/JEDCLSTA4TPTYL2NSDJKIDZ7RP/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/JEDCLSTA4TPTYL2NSDJKIDZ7RP/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":"2026-08-11T13:40:59Z","links":{"resolver":"https://pith.science/pith/JEDCLSTA4TPTYL2NSDJKIDZ7RP","bundle":"https://pith.science/pith/JEDCLSTA4TPTYL2NSDJKIDZ7RP/bundle.json","state":"https://pith.science/pith/JEDCLSTA4TPTYL2NSDJKIDZ7RP/state.json","well_known_bundle":"https://pith.science/.well-known/pith/JEDCLSTA4TPTYL2NSDJKIDZ7RP/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:JEDCLSTA4TPTYL2NSDJKIDZ7RP","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":"3c65eefb0556b76ed80b59aae9418f946823ec79257d285c55653b71e383ab18","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-12-22T09:14:01Z","title_canon_sha256":"b86bf4a4956502486f8cf925f04a8507faf2e9b6d3d35b36d379d7c89c225241"},"schema_version":"1.0","source":{"id":"2412.16935","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2412.16935","created_at":"2026-07-05T09:53:15Z"},{"alias_kind":"arxiv_version","alias_value":"2412.16935v1","created_at":"2026-07-05T09:53:15Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2412.16935","created_at":"2026-07-05T09:53:15Z"},{"alias_kind":"pith_short_12","alias_value":"JEDCLSTA4TPT","created_at":"2026-07-05T09:53:15Z"},{"alias_kind":"pith_short_16","alias_value":"JEDCLSTA4TPTYL2N","created_at":"2026-07-05T09:53:15Z"},{"alias_kind":"pith_short_8","alias_value":"JEDCLSTA","created_at":"2026-07-05T09:53:15Z"}],"graph_snapshots":[{"event_id":"sha256:e7434f257ac3238657b67933c2cb9a717307357bd398360bdf10f3d7a838a9a2","target":"graph","created_at":"2026-07-05T09:53:15Z","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/2412.16935/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"With the continuous advancement of industrial automation, product quality inspection has become increasingly important in the manufacturing process. Traditional inspection methods, which often rely on manual checks or simple machine vision techniques, suffer from low efficiency and insufficient accuracy. In recent years, deep learning technology, especially the YOLO (You Only Look Once) algorithm, has emerged as a prominent solution in the field of product defect detection due to its efficient real-time detection capabilities and excellent classification performance. This study aims to use the","authors_text":"Ao Xiang, Bin Lyu, Jiacheng Hu, Liwei Ding, Xiangtian Li, Zhen Qi","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-12-22T09:14:01Z","title":"Detecting and Classifying Defective Products in Images Using YOLO"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2412.16935","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":"sha256:43b83985db10342b8d1b0aa287610047f399e030822e54abc00df152bb4b0fce","target":"record","created_at":"2026-07-05T09:53:15Z","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":"3c65eefb0556b76ed80b59aae9418f946823ec79257d285c55653b71e383ab18","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-12-22T09:14:01Z","title_canon_sha256":"b86bf4a4956502486f8cf925f04a8507faf2e9b6d3d35b36d379d7c89c225241"},"schema_version":"1.0","source":{"id":"2412.16935","kind":"arxiv","version":1}},"canonical_sha256":"490625ca60e4df3c2f4d90d2a40f3f8bfe7deff4ca6d0e13557b5975cc0ea806","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"490625ca60e4df3c2f4d90d2a40f3f8bfe7deff4ca6d0e13557b5975cc0ea806","first_computed_at":"2026-07-05T09:53:15.010467Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:53:15.010467Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"hfGuY2JDlKeFwcYzC5h7RMWVQr+TosPV5prLohgTwrTsIMthtts4MxX6Cq6wfo9VI0TvNfRCojm8+LsUU82xCQ==","signature_status":"signed_v1","signed_at":"2026-07-05T09:53:15.010922Z","signed_message":"canonical_sha256_bytes"},"source_id":"2412.16935","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:43b83985db10342b8d1b0aa287610047f399e030822e54abc00df152bb4b0fce","sha256:e7434f257ac3238657b67933c2cb9a717307357bd398360bdf10f3d7a838a9a2"],"state_sha256":"23ecc43a410581e54b486d8f84b6ae8c713f8212c87075c7a2c99a09779ebc2b"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"reFCIS2m6K8De3rwACVhfRuLtgb4rqg6HMZHEKHabOobohIFSyH6s+ACHJ2S0mlD5CTES5wKuUJRyioIau3lBA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-11T13:40:59.299347Z","bundle_sha256":"cfe051f9bf5c64e11d90f42324a485c41b0ba410ff1e0a2609b75e6edc363151"}}