{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2026:I72Q3PABK7I3BVXPCK4HVOSWTD","short_pith_number":"pith:I72Q3PAB","schema_version":"1.0","canonical_sha256":"47f50dbc0157d1b0d6ef12b87aba5698d71959ffc4d5adc533e919a4cd65933d","source":{"kind":"arxiv","id":"2606.10827","version":1},"attestation_state":"computed","paper":{"title":"A Unified Siamese Learning Framework for Zero-Day Anomaly Detection and Classification in Optical Networks","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.NI","authors_text":"Carlos Natalino, Fl\\'avia P. Monteiro, Paolo Monti","submitted_at":"2026-06-09T13:16:36Z","abstract_excerpt":"A multi-similarity Siamese neural network unifies zero-day anomaly detection and one-shot classification in optical networks, achieving over 99% accuracy and instant adaptability across lightpaths and unseen anomaly types without any retraining."},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2606.10827","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.NI","submitted_at":"2026-06-09T13:16:36Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"f41f50e343ba0ac10d46f1c03079f3c770b47dad483cff9934e8c50aab856987","abstract_canon_sha256":"7b41b902a7e350af1f4e45028eb37f8b724e20457f032388c3ccfb22be8b122f"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-06-10T01:10:42.724674Z","signature_b64":"XyCwwGUSGUuwRYjPg4JdzacziFzfJKMGX4JFZFjhs2dUPw3wEvNzV1DDtyGRjPpd5VqF8M/zMMOkqa370x2SDA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"47f50dbc0157d1b0d6ef12b87aba5698d71959ffc4d5adc533e919a4cd65933d","last_reissued_at":"2026-06-10T01:10:42.722691Z","signature_status":"signed_v1","first_computed_at":"2026-06-10T01:10:42.722691Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"A Unified Siamese Learning Framework for Zero-Day Anomaly Detection and Classification in Optical Networks","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.NI","authors_text":"Carlos Natalino, Fl\\'avia P. Monteiro, Paolo Monti","submitted_at":"2026-06-09T13:16:36Z","abstract_excerpt":"A multi-similarity Siamese neural network unifies zero-day anomaly detection and one-shot classification in optical networks, achieving over 99% accuracy and instant adaptability across lightpaths and unseen anomaly types without any retraining."},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.10827","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/2606.10827/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"},"aliases":[{"alias_kind":"arxiv","alias_value":"2606.10827","created_at":"2026-06-10T01:10:42.723077+00:00"},{"alias_kind":"arxiv_version","alias_value":"2606.10827v1","created_at":"2026-06-10T01:10:42.723077+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.10827","created_at":"2026-06-10T01:10:42.723077+00:00"},{"alias_kind":"pith_short_12","alias_value":"I72Q3PABK7I3","created_at":"2026-06-10T01:10:42.723077+00:00"},{"alias_kind":"pith_short_16","alias_value":"I72Q3PABK7I3BVXP","created_at":"2026-06-10T01:10:42.723077+00:00"},{"alias_kind":"pith_short_8","alias_value":"I72Q3PAB","created_at":"2026-06-10T01:10:42.723077+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/I72Q3PABK7I3BVXPCK4HVOSWTD","json":"https://pith.science/pith/I72Q3PABK7I3BVXPCK4HVOSWTD.json","graph_json":"https://pith.science/api/pith-number/I72Q3PABK7I3BVXPCK4HVOSWTD/graph.json","events_json":"https://pith.science/api/pith-number/I72Q3PABK7I3BVXPCK4HVOSWTD/events.json","paper":"https://pith.science/paper/I72Q3PAB"},"agent_actions":{"view_html":"https://pith.science/pith/I72Q3PABK7I3BVXPCK4HVOSWTD","download_json":"https://pith.science/pith/I72Q3PABK7I3BVXPCK4HVOSWTD.json","view_paper":"https://pith.science/paper/I72Q3PAB","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2606.10827&json=true","fetch_graph":"https://pith.science/api/pith-number/I72Q3PABK7I3BVXPCK4HVOSWTD/graph.json","fetch_events":"https://pith.science/api/pith-number/I72Q3PABK7I3BVXPCK4HVOSWTD/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/I72Q3PABK7I3BVXPCK4HVOSWTD/action/timestamp_anchor","attest_storage":"https://pith.science/pith/I72Q3PABK7I3BVXPCK4HVOSWTD/action/storage_attestation","attest_author":"https://pith.science/pith/I72Q3PABK7I3BVXPCK4HVOSWTD/action/author_attestation","sign_citation":"https://pith.science/pith/I72Q3PABK7I3BVXPCK4HVOSWTD/action/citation_signature","submit_replication":"https://pith.science/pith/I72Q3PABK7I3BVXPCK4HVOSWTD/action/replication_record"}},"created_at":"2026-06-10T01:10:42.723077+00:00","updated_at":"2026-06-10T01:10:42.723077+00:00"}