{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:RFNMSBQ4LM2UHG2ICSCAFL53VT","short_pith_number":"pith:RFNMSBQ4","canonical_record":{"source":{"id":"2402.02245","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-02-03T19:24:40Z","cross_cats_sorted":["cs.LG","eess.IV"],"title_canon_sha256":"93522c55e58707e9d3ec61d200c04f1e04303c1c74ad4febb55fa0bbbc3604eb","abstract_canon_sha256":"45d56d99591a7b43d7ad6c7c5c110fab71a826514d5eab1e139faebac321216e"},"schema_version":"1.0"},"canonical_sha256":"895ac9061c5b35439b48148402afbbacea23cd2dcff08c441c43bd1fc4921b05","source":{"kind":"arxiv","id":"2402.02245","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2402.02245","created_at":"2026-07-05T07:53:32Z"},{"alias_kind":"arxiv_version","alias_value":"2402.02245v2","created_at":"2026-07-05T07:53:32Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2402.02245","created_at":"2026-07-05T07:53:32Z"},{"alias_kind":"pith_short_12","alias_value":"RFNMSBQ4LM2U","created_at":"2026-07-05T07:53:32Z"},{"alias_kind":"pith_short_16","alias_value":"RFNMSBQ4LM2UHG2I","created_at":"2026-07-05T07:53:32Z"},{"alias_kind":"pith_short_8","alias_value":"RFNMSBQ4","created_at":"2026-07-05T07:53:32Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:RFNMSBQ4LM2UHG2ICSCAFL53VT","target":"record","payload":{"canonical_record":{"source":{"id":"2402.02245","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-02-03T19:24:40Z","cross_cats_sorted":["cs.LG","eess.IV"],"title_canon_sha256":"93522c55e58707e9d3ec61d200c04f1e04303c1c74ad4febb55fa0bbbc3604eb","abstract_canon_sha256":"45d56d99591a7b43d7ad6c7c5c110fab71a826514d5eab1e139faebac321216e"},"schema_version":"1.0"},"canonical_sha256":"895ac9061c5b35439b48148402afbbacea23cd2dcff08c441c43bd1fc4921b05","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T07:53:32.856895Z","signature_b64":"iDjSDw11y1NOnbC5x/lWy3LNwPCYegGpPU5v9r4s3/piA3Mvs4AMXJ2RgyOZWyFjBISKX9WUuh7alOgAYvlhAQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"895ac9061c5b35439b48148402afbbacea23cd2dcff08c441c43bd1fc4921b05","last_reissued_at":"2026-07-05T07:53:32.856387Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T07:53:32.856387Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2402.02245","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":"2026-07-05T07:53:32Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"9JZtCrczMr/nuaGeQHIyXq7CkQPnD0lQg6aFjvm7WjK4Phfxyfpw4Hty6vQOEFO3hbV+36sq4Ar/kF+UvkOFDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T02:15:06.190872Z"},"content_sha256":"ec8e5f64adfc0db3fc571408c850df1c074239e0735eaabcd20bc7e7aed448bf","schema_version":"1.0","event_id":"sha256:ec8e5f64adfc0db3fc571408c850df1c074239e0735eaabcd20bc7e7aed448bf"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:RFNMSBQ4LM2UHG2ICSCAFL53VT","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Revisiting Generative Adversarial Networks for Binary Semantic Segmentation on Imbalanced Datasets","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG","eess.IV"],"primary_cat":"cs.CV","authors_text":"Lei Xu, Moncef Gabbouj","submitted_at":"2024-02-03T19:24:40Z","abstract_excerpt":"Anomalous crack region detection is a typical binary semantic segmentation task, which aims to detect pixels representing cracks on pavement surface images automatically by algorithms. Although existing deep learning-based methods have achieved outcoming results on specific public pavement datasets, the performance would deteriorate dramatically on imbalanced datasets. The input datasets used in such tasks suffer from severely between-class imbalanced problems, hence, it is a core challenge to obtain a robust performance on diverse pavement datasets with generic deep learning models. To addres"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2402.02245","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/2402.02245/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":"2026-07-05T07:53:32Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"hKHmLGrlySqBNFhKVSpcw0Cp6+/ELa+hItHY6k8eppvQs3wrI9k0BmYRX6aINdaBu63jVoc91yrxESZu1hmuCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T02:15:06.191255Z"},"content_sha256":"4fc603a6994fb31408f8890e6a067a076a1b6ce9fff44aca406cf870c560e1b4","schema_version":"1.0","event_id":"sha256:4fc603a6994fb31408f8890e6a067a076a1b6ce9fff44aca406cf870c560e1b4"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/RFNMSBQ4LM2UHG2ICSCAFL53VT/bundle.json","state_url":"https://pith.science/pith/RFNMSBQ4LM2UHG2ICSCAFL53VT/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/RFNMSBQ4LM2UHG2ICSCAFL53VT/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":"2026-07-07T02:15:06Z","links":{"resolver":"https://pith.science/pith/RFNMSBQ4LM2UHG2ICSCAFL53VT","bundle":"https://pith.science/pith/RFNMSBQ4LM2UHG2ICSCAFL53VT/bundle.json","state":"https://pith.science/pith/RFNMSBQ4LM2UHG2ICSCAFL53VT/state.json","well_known_bundle":"https://pith.science/.well-known/pith/RFNMSBQ4LM2UHG2ICSCAFL53VT/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:RFNMSBQ4LM2UHG2ICSCAFL53VT","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":"45d56d99591a7b43d7ad6c7c5c110fab71a826514d5eab1e139faebac321216e","cross_cats_sorted":["cs.LG","eess.IV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-02-03T19:24:40Z","title_canon_sha256":"93522c55e58707e9d3ec61d200c04f1e04303c1c74ad4febb55fa0bbbc3604eb"},"schema_version":"1.0","source":{"id":"2402.02245","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2402.02245","created_at":"2026-07-05T07:53:32Z"},{"alias_kind":"arxiv_version","alias_value":"2402.02245v2","created_at":"2026-07-05T07:53:32Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2402.02245","created_at":"2026-07-05T07:53:32Z"},{"alias_kind":"pith_short_12","alias_value":"RFNMSBQ4LM2U","created_at":"2026-07-05T07:53:32Z"},{"alias_kind":"pith_short_16","alias_value":"RFNMSBQ4LM2UHG2I","created_at":"2026-07-05T07:53:32Z"},{"alias_kind":"pith_short_8","alias_value":"RFNMSBQ4","created_at":"2026-07-05T07:53:32Z"}],"graph_snapshots":[{"event_id":"sha256:4fc603a6994fb31408f8890e6a067a076a1b6ce9fff44aca406cf870c560e1b4","target":"graph","created_at":"2026-07-05T07:53:32Z","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/2402.02245/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Anomalous crack region detection is a typical binary semantic segmentation task, which aims to detect pixels representing cracks on pavement surface images automatically by algorithms. Although existing deep learning-based methods have achieved outcoming results on specific public pavement datasets, the performance would deteriorate dramatically on imbalanced datasets. The input datasets used in such tasks suffer from severely between-class imbalanced problems, hence, it is a core challenge to obtain a robust performance on diverse pavement datasets with generic deep learning models. To addres","authors_text":"Lei Xu, Moncef Gabbouj","cross_cats":["cs.LG","eess.IV"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-02-03T19:24:40Z","title":"Revisiting Generative Adversarial Networks for Binary Semantic Segmentation on Imbalanced Datasets"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2402.02245","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:ec8e5f64adfc0db3fc571408c850df1c074239e0735eaabcd20bc7e7aed448bf","target":"record","created_at":"2026-07-05T07:53:32Z","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":"45d56d99591a7b43d7ad6c7c5c110fab71a826514d5eab1e139faebac321216e","cross_cats_sorted":["cs.LG","eess.IV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-02-03T19:24:40Z","title_canon_sha256":"93522c55e58707e9d3ec61d200c04f1e04303c1c74ad4febb55fa0bbbc3604eb"},"schema_version":"1.0","source":{"id":"2402.02245","kind":"arxiv","version":2}},"canonical_sha256":"895ac9061c5b35439b48148402afbbacea23cd2dcff08c441c43bd1fc4921b05","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"895ac9061c5b35439b48148402afbbacea23cd2dcff08c441c43bd1fc4921b05","first_computed_at":"2026-07-05T07:53:32.856387Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:53:32.856387Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"iDjSDw11y1NOnbC5x/lWy3LNwPCYegGpPU5v9r4s3/piA3Mvs4AMXJ2RgyOZWyFjBISKX9WUuh7alOgAYvlhAQ==","signature_status":"signed_v1","signed_at":"2026-07-05T07:53:32.856895Z","signed_message":"canonical_sha256_bytes"},"source_id":"2402.02245","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:ec8e5f64adfc0db3fc571408c850df1c074239e0735eaabcd20bc7e7aed448bf","sha256:4fc603a6994fb31408f8890e6a067a076a1b6ce9fff44aca406cf870c560e1b4"],"state_sha256":"f843746596b6169662d348a64ee5163dc26d02449005f9295ffb17a48185024d"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"o2zS4vt253oCzmCaP95eu5oiD14KD+/pQtchYIoamHCbusaxCRJgu7/Ydg3UzAs0lxlA8hM/JhPHQAu9ThyhCw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-07T02:15:06.193361Z","bundle_sha256":"13715b81812c7fb0ff5149c088870c2eb636ca0842bc4aaf05ebeae27ee2d7a9"}}