{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:33XX46XCPYXWQGYVAT7466G2DX","short_pith_number":"pith:33XX46XC","canonical_record":{"source":{"id":"2505.21152","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-05-27T13:04:48Z","cross_cats_sorted":[],"title_canon_sha256":"cf1d0e38ecdb46966eef564a75608da4733053731a8b9b1967044accc5e1e834","abstract_canon_sha256":"e037d210061888a64babaa51bd33e0e6506c6636c270dd22ea417bc9f3a415d6"},"schema_version":"1.0"},"canonical_sha256":"deef7e7ae27e2f681b1504ffcf78da1dc5a1f2b8e117b45d2d85920b563ecca0","source":{"kind":"arxiv","id":"2505.21152","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2505.21152","created_at":"2026-07-05T11:10:24Z"},{"alias_kind":"arxiv_version","alias_value":"2505.21152v1","created_at":"2026-07-05T11:10:24Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2505.21152","created_at":"2026-07-05T11:10:24Z"},{"alias_kind":"pith_short_12","alias_value":"33XX46XCPYXW","created_at":"2026-07-05T11:10:24Z"},{"alias_kind":"pith_short_16","alias_value":"33XX46XCPYXWQGYV","created_at":"2026-07-05T11:10:24Z"},{"alias_kind":"pith_short_8","alias_value":"33XX46XC","created_at":"2026-07-05T11:10:24Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:33XX46XCPYXWQGYVAT7466G2DX","target":"record","payload":{"canonical_record":{"source":{"id":"2505.21152","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-05-27T13:04:48Z","cross_cats_sorted":[],"title_canon_sha256":"cf1d0e38ecdb46966eef564a75608da4733053731a8b9b1967044accc5e1e834","abstract_canon_sha256":"e037d210061888a64babaa51bd33e0e6506c6636c270dd22ea417bc9f3a415d6"},"schema_version":"1.0"},"canonical_sha256":"deef7e7ae27e2f681b1504ffcf78da1dc5a1f2b8e117b45d2d85920b563ecca0","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:10:24.594664Z","signature_b64":"o5XQwwtPeHC+m3Z1lcfjFwnC1wOsVPu4lQN0lfzEDNS3FmBLlPurtd+leYfavVacuOS3cqNEVB8PFLX5FnagAQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"deef7e7ae27e2f681b1504ffcf78da1dc5a1f2b8e117b45d2d85920b563ecca0","last_reissued_at":"2026-07-05T11:10:24.594178Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:10:24.594178Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2505.21152","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":"2026-07-05T11:10:24Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"VFevuNMbyuWnwHgsziB6vkJ3qHx4Uhj8A7HJz7zDWoLTWpfuauiB6HSuV/HeyoH7ec7fLa5nqXRLDwF98saGBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-04T16:15:53.328546Z"},"content_sha256":"e04918e9b8d7fe722f1779ab3bc71c1f7a2aca67cba5283828db749b17b7480a","schema_version":"1.0","event_id":"sha256:e04918e9b8d7fe722f1779ab3bc71c1f7a2aca67cba5283828db749b17b7480a"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:33XX46XCPYXWQGYVAT7466G2DX","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"RoBiS: Robust Binary Segmentation for High-Resolution Industrial Images","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Tingxuan Ai, Xurui Li, Yu Zhou, Zhonesheng Jiang","submitted_at":"2025-05-27T13:04:48Z","abstract_excerpt":"Robust unsupervised anomaly detection (AD) in real-world scenarios is an important task. Current methods exhibit severe performance degradation on the MVTec AD 2 benchmark due to its complex real-world challenges. To solve this problem, we propose a robust framework RoBiS, which consists of three core modules: (1) Swin-Cropping, a high-resolution image pre-processing strategy to preserve the information of small anomalies through overlapping window cropping. (2) The data augmentation of noise addition and lighting simulation is carried out on the training data to improve the robustness of AD m"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2505.21152","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/2505.21152/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":"2026-07-05T11:10:24Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"aoPo/7SZ5+8e/LFdqNVPSDFlQIr9HbufPqBymcDLz1bXycv5T8R52pSEg9t/MM5K9V8VpzgzjSa+iW7bW8Z9AQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-04T16:15:53.330627Z"},"content_sha256":"8fc71e75fbd7a5ba3d8ffa24ac537ea530f22b96fd4ddf63f4613347992e3769","schema_version":"1.0","event_id":"sha256:8fc71e75fbd7a5ba3d8ffa24ac537ea530f22b96fd4ddf63f4613347992e3769"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/33XX46XCPYXWQGYVAT7466G2DX/bundle.json","state_url":"https://pith.science/pith/33XX46XCPYXWQGYVAT7466G2DX/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/33XX46XCPYXWQGYVAT7466G2DX/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":"2026-08-04T16:15:53Z","links":{"resolver":"https://pith.science/pith/33XX46XCPYXWQGYVAT7466G2DX","bundle":"https://pith.science/pith/33XX46XCPYXWQGYVAT7466G2DX/bundle.json","state":"https://pith.science/pith/33XX46XCPYXWQGYVAT7466G2DX/state.json","well_known_bundle":"https://pith.science/.well-known/pith/33XX46XCPYXWQGYVAT7466G2DX/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:33XX46XCPYXWQGYVAT7466G2DX","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":"e037d210061888a64babaa51bd33e0e6506c6636c270dd22ea417bc9f3a415d6","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-05-27T13:04:48Z","title_canon_sha256":"cf1d0e38ecdb46966eef564a75608da4733053731a8b9b1967044accc5e1e834"},"schema_version":"1.0","source":{"id":"2505.21152","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2505.21152","created_at":"2026-07-05T11:10:24Z"},{"alias_kind":"arxiv_version","alias_value":"2505.21152v1","created_at":"2026-07-05T11:10:24Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2505.21152","created_at":"2026-07-05T11:10:24Z"},{"alias_kind":"pith_short_12","alias_value":"33XX46XCPYXW","created_at":"2026-07-05T11:10:24Z"},{"alias_kind":"pith_short_16","alias_value":"33XX46XCPYXWQGYV","created_at":"2026-07-05T11:10:24Z"},{"alias_kind":"pith_short_8","alias_value":"33XX46XC","created_at":"2026-07-05T11:10:24Z"}],"graph_snapshots":[{"event_id":"sha256:8fc71e75fbd7a5ba3d8ffa24ac537ea530f22b96fd4ddf63f4613347992e3769","target":"graph","created_at":"2026-07-05T11:10:24Z","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/2505.21152/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Robust unsupervised anomaly detection (AD) in real-world scenarios is an important task. Current methods exhibit severe performance degradation on the MVTec AD 2 benchmark due to its complex real-world challenges. To solve this problem, we propose a robust framework RoBiS, which consists of three core modules: (1) Swin-Cropping, a high-resolution image pre-processing strategy to preserve the information of small anomalies through overlapping window cropping. (2) The data augmentation of noise addition and lighting simulation is carried out on the training data to improve the robustness of AD m","authors_text":"Tingxuan Ai, Xurui Li, Yu Zhou, Zhonesheng Jiang","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-05-27T13:04:48Z","title":"RoBiS: Robust Binary Segmentation for High-Resolution Industrial Images"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2505.21152","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:e04918e9b8d7fe722f1779ab3bc71c1f7a2aca67cba5283828db749b17b7480a","target":"record","created_at":"2026-07-05T11:10:24Z","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":"e037d210061888a64babaa51bd33e0e6506c6636c270dd22ea417bc9f3a415d6","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-05-27T13:04:48Z","title_canon_sha256":"cf1d0e38ecdb46966eef564a75608da4733053731a8b9b1967044accc5e1e834"},"schema_version":"1.0","source":{"id":"2505.21152","kind":"arxiv","version":1}},"canonical_sha256":"deef7e7ae27e2f681b1504ffcf78da1dc5a1f2b8e117b45d2d85920b563ecca0","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"deef7e7ae27e2f681b1504ffcf78da1dc5a1f2b8e117b45d2d85920b563ecca0","first_computed_at":"2026-07-05T11:10:24.594178Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:10:24.594178Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"o5XQwwtPeHC+m3Z1lcfjFwnC1wOsVPu4lQN0lfzEDNS3FmBLlPurtd+leYfavVacuOS3cqNEVB8PFLX5FnagAQ==","signature_status":"signed_v1","signed_at":"2026-07-05T11:10:24.594664Z","signed_message":"canonical_sha256_bytes"},"source_id":"2505.21152","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:e04918e9b8d7fe722f1779ab3bc71c1f7a2aca67cba5283828db749b17b7480a","sha256:8fc71e75fbd7a5ba3d8ffa24ac537ea530f22b96fd4ddf63f4613347992e3769"],"state_sha256":"aa656bea294beed9c073e91140a94e83b3e1309f311b0544c13798b0b5fccd02"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"G2UkIheysGoSNQPXORVGvLxX38+NgeU00c8I9HShd2+JIn0GfiOXZZSSTM25kuNmBCk0kDsmyEkqgU1HBY0BBw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-04T16:15:53.338862Z","bundle_sha256":"bac5dce3189303130b1228178adc4f96696b3e7e2814f20aac613f65cac4eafb"}}