{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:TAF7OKCSUYVEB3PNVDZWCM64SS","short_pith_number":"pith:TAF7OKCS","canonical_record":{"source":{"id":"2406.09131","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-06-13T14:02:18Z","cross_cats_sorted":[],"title_canon_sha256":"62c4ee1f8c728fb44658d5e1a82faf8bb05688233b52f0fa4a530862934889e3","abstract_canon_sha256":"ed711beabdf47705cc9936c86753cc1595c349e814c3fb412cc18cdcd5907b5d"},"schema_version":"1.0"},"canonical_sha256":"980bf72852a62a40ededa8f36133dc94ad3273efda0b2f68e9ba9fd2c54a4620","source":{"kind":"arxiv","id":"2406.09131","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2406.09131","created_at":"2026-07-05T08:59:10Z"},{"alias_kind":"arxiv_version","alias_value":"2406.09131v2","created_at":"2026-07-05T08:59:10Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2406.09131","created_at":"2026-07-05T08:59:10Z"},{"alias_kind":"pith_short_12","alias_value":"TAF7OKCSUYVE","created_at":"2026-07-05T08:59:10Z"},{"alias_kind":"pith_short_16","alias_value":"TAF7OKCSUYVEB3PN","created_at":"2026-07-05T08:59:10Z"},{"alias_kind":"pith_short_8","alias_value":"TAF7OKCS","created_at":"2026-07-05T08:59:10Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:TAF7OKCSUYVEB3PNVDZWCM64SS","target":"record","payload":{"canonical_record":{"source":{"id":"2406.09131","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-06-13T14:02:18Z","cross_cats_sorted":[],"title_canon_sha256":"62c4ee1f8c728fb44658d5e1a82faf8bb05688233b52f0fa4a530862934889e3","abstract_canon_sha256":"ed711beabdf47705cc9936c86753cc1595c349e814c3fb412cc18cdcd5907b5d"},"schema_version":"1.0"},"canonical_sha256":"980bf72852a62a40ededa8f36133dc94ad3273efda0b2f68e9ba9fd2c54a4620","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:59:10.027042Z","signature_b64":"7qLQzuSQYFfKkCT3Sch5YQiOj3FR64lfGSu0LbySoRm82DPkc9Ve6aSnzLY0HzprCMLmiLDzecddA4hzgphPAQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"980bf72852a62a40ededa8f36133dc94ad3273efda0b2f68e9ba9fd2c54a4620","last_reissued_at":"2026-07-05T08:59:10.026626Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:59:10.026626Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2406.09131","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":"2026-07-05T08:59:10Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"wXKh9hfIk+DqER18jnaP9GPScSZ2X/AZWqBDbIQegwroYeY+CnSP8fsOTyBbD2lk4ddCojEcfkTI3+oDyBwYDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T11:16:36.714166Z"},"content_sha256":"0daf03b8e8abe4ba921e001f39d577147e3c39f805dda2b7437b82b1019d21f7","schema_version":"1.0","event_id":"sha256:0daf03b8e8abe4ba921e001f39d577147e3c39f805dda2b7437b82b1019d21f7"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:TAF7OKCSUYVEB3PNVDZWCM64SS","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"OLGA: One-cLass Graph Autoencoder","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.LG","authors_text":"D. F. Silva, J. G. B. M. Junior, M. P. S. G\\^olo, R. M. Marcacini","submitted_at":"2024-06-13T14:02:18Z","abstract_excerpt":"One-class learning (OCL) comprises a set of techniques applied when real-world problems have a single class of interest. The usual procedure for OCL is learning a hypersphere that comprises instances of this class and, ideally, repels unseen instances from any other classes. Besides, several OCL algorithms for graphs have been proposed since graph representation learning has succeeded in various fields. These methods may use a two-step strategy, initially representing the graph and, in a second step, classifying its nodes. On the other hand, end-to-end methods learn the node representations wh"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2406.09131","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/2406.09131/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":"2026-07-05T08:59:10Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"iPOrnJU9B+6IzgvrbtLZW9nRUmxx2V9uO1LGV7bLnhBrBaJyRGv78JOON/PSiQdqb+iPW8P9xRV89vPvjVlMCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T11:16:36.714672Z"},"content_sha256":"c9de9e28bd5ca122ff59d35df434ecf4f6aa2500030e1da636fbddff971b74cc","schema_version":"1.0","event_id":"sha256:c9de9e28bd5ca122ff59d35df434ecf4f6aa2500030e1da636fbddff971b74cc"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/TAF7OKCSUYVEB3PNVDZWCM64SS/bundle.json","state_url":"https://pith.science/pith/TAF7OKCSUYVEB3PNVDZWCM64SS/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/TAF7OKCSUYVEB3PNVDZWCM64SS/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":"2026-08-08T11:16:36Z","links":{"resolver":"https://pith.science/pith/TAF7OKCSUYVEB3PNVDZWCM64SS","bundle":"https://pith.science/pith/TAF7OKCSUYVEB3PNVDZWCM64SS/bundle.json","state":"https://pith.science/pith/TAF7OKCSUYVEB3PNVDZWCM64SS/state.json","well_known_bundle":"https://pith.science/.well-known/pith/TAF7OKCSUYVEB3PNVDZWCM64SS/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:TAF7OKCSUYVEB3PNVDZWCM64SS","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":"ed711beabdf47705cc9936c86753cc1595c349e814c3fb412cc18cdcd5907b5d","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-06-13T14:02:18Z","title_canon_sha256":"62c4ee1f8c728fb44658d5e1a82faf8bb05688233b52f0fa4a530862934889e3"},"schema_version":"1.0","source":{"id":"2406.09131","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2406.09131","created_at":"2026-07-05T08:59:10Z"},{"alias_kind":"arxiv_version","alias_value":"2406.09131v2","created_at":"2026-07-05T08:59:10Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2406.09131","created_at":"2026-07-05T08:59:10Z"},{"alias_kind":"pith_short_12","alias_value":"TAF7OKCSUYVE","created_at":"2026-07-05T08:59:10Z"},{"alias_kind":"pith_short_16","alias_value":"TAF7OKCSUYVEB3PN","created_at":"2026-07-05T08:59:10Z"},{"alias_kind":"pith_short_8","alias_value":"TAF7OKCS","created_at":"2026-07-05T08:59:10Z"}],"graph_snapshots":[{"event_id":"sha256:c9de9e28bd5ca122ff59d35df434ecf4f6aa2500030e1da636fbddff971b74cc","target":"graph","created_at":"2026-07-05T08:59:10Z","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/2406.09131/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"One-class learning (OCL) comprises a set of techniques applied when real-world problems have a single class of interest. The usual procedure for OCL is learning a hypersphere that comprises instances of this class and, ideally, repels unseen instances from any other classes. Besides, several OCL algorithms for graphs have been proposed since graph representation learning has succeeded in various fields. These methods may use a two-step strategy, initially representing the graph and, in a second step, classifying its nodes. On the other hand, end-to-end methods learn the node representations wh","authors_text":"D. F. Silva, J. G. B. M. Junior, M. P. S. G\\^olo, R. M. Marcacini","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-06-13T14:02:18Z","title":"OLGA: One-cLass Graph Autoencoder"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2406.09131","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":"sha256:0daf03b8e8abe4ba921e001f39d577147e3c39f805dda2b7437b82b1019d21f7","target":"record","created_at":"2026-07-05T08:59:10Z","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":"ed711beabdf47705cc9936c86753cc1595c349e814c3fb412cc18cdcd5907b5d","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-06-13T14:02:18Z","title_canon_sha256":"62c4ee1f8c728fb44658d5e1a82faf8bb05688233b52f0fa4a530862934889e3"},"schema_version":"1.0","source":{"id":"2406.09131","kind":"arxiv","version":2}},"canonical_sha256":"980bf72852a62a40ededa8f36133dc94ad3273efda0b2f68e9ba9fd2c54a4620","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"980bf72852a62a40ededa8f36133dc94ad3273efda0b2f68e9ba9fd2c54a4620","first_computed_at":"2026-07-05T08:59:10.026626Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:59:10.026626Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"7qLQzuSQYFfKkCT3Sch5YQiOj3FR64lfGSu0LbySoRm82DPkc9Ve6aSnzLY0HzprCMLmiLDzecddA4hzgphPAQ==","signature_status":"signed_v1","signed_at":"2026-07-05T08:59:10.027042Z","signed_message":"canonical_sha256_bytes"},"source_id":"2406.09131","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:0daf03b8e8abe4ba921e001f39d577147e3c39f805dda2b7437b82b1019d21f7","sha256:c9de9e28bd5ca122ff59d35df434ecf4f6aa2500030e1da636fbddff971b74cc"],"state_sha256":"2d9b412a78ef2a58179a1e65e6d186ea8c1f587d5d58046c2c40352470fd9d26"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"46qnPUhOaDncCo23T4JgZBmF+11KPPF4AuaDO+lYeIgZjLfC3kkgnyyZ86aInAbVHUxfkf4dOgdY2NmaYGz4Aw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-08T11:16:36.719116Z","bundle_sha256":"45d8fe9d7f576ba850bbaadb5bc13b5a6bd41791184a6d0e8a9f9c2ab6275588"}}