{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:DQ32ATABPOPNGSJDE5CTEHCO5O","short_pith_number":"pith:DQ32ATAB","canonical_record":{"source":{"id":"2606.30322","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2026-06-29T14:04:08Z","cross_cats_sorted":["eess.SP"],"title_canon_sha256":"b48d71c9ed38c4c489d8451ea10948e81d58c436e6b5b7eb470e4194d8f5e63a","abstract_canon_sha256":"dc93aed571c14eff79d15544d132ef3677d9fe9148b24f3cc03908216a168d33"},"schema_version":"1.0"},"canonical_sha256":"1c37a04c017b9ed349232745321c4eeba3cd225f528447fcc294638cab88cf9e","source":{"kind":"arxiv","id":"2606.30322","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.30322","created_at":"2026-06-30T02:18:10Z"},{"alias_kind":"arxiv_version","alias_value":"2606.30322v1","created_at":"2026-06-30T02:18:10Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.30322","created_at":"2026-06-30T02:18:10Z"},{"alias_kind":"pith_short_12","alias_value":"DQ32ATABPOPN","created_at":"2026-06-30T02:18:10Z"},{"alias_kind":"pith_short_16","alias_value":"DQ32ATABPOPNGSJD","created_at":"2026-06-30T02:18:10Z"},{"alias_kind":"pith_short_8","alias_value":"DQ32ATAB","created_at":"2026-06-30T02:18:10Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:DQ32ATABPOPNGSJDE5CTEHCO5O","target":"record","payload":{"canonical_record":{"source":{"id":"2606.30322","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2026-06-29T14:04:08Z","cross_cats_sorted":["eess.SP"],"title_canon_sha256":"b48d71c9ed38c4c489d8451ea10948e81d58c436e6b5b7eb470e4194d8f5e63a","abstract_canon_sha256":"dc93aed571c14eff79d15544d132ef3677d9fe9148b24f3cc03908216a168d33"},"schema_version":"1.0"},"canonical_sha256":"1c37a04c017b9ed349232745321c4eeba3cd225f528447fcc294638cab88cf9e","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-06-30T02:18:10.290348Z","signature_b64":"Y6zcDY/uyN2k6DVt4NeoPU5tX/HYAX0lxrYv1GIUKQqTT1ISBKAepJ4Vg9nmSmVv4Hx7AwNHv+QlGCMEp2DIDA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"1c37a04c017b9ed349232745321c4eeba3cd225f528447fcc294638cab88cf9e","last_reissued_at":"2026-06-30T02:18:10.289734Z","signature_status":"signed_v1","first_computed_at":"2026-06-30T02:18:10.289734Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2606.30322","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":"2026-06-30T02:18:10Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"5jpDp+Et49wm/nvaaYBQaqkrGVb+1HfZaDfjNWMJ+0ZHMXYrf1oLr+1zgUrq+ZgJbu+Eb/hf8jCdn1yMycJEDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-02T15:08:23.129169Z"},"content_sha256":"35f7116e3f668a31920d29d3c07b6bd58ce0bdd25fba4dfb1e4e3edf725f7c08","schema_version":"1.0","event_id":"sha256:35f7116e3f668a31920d29d3c07b6bd58ce0bdd25fba4dfb1e4e3edf725f7c08"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:DQ32ATABPOPNGSJDE5CTEHCO5O","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Hybrid Active-Online Learning Framework for Label-Efficient Concept Drift Adaptation in Optical Network Failure Detection","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["eess.SP"],"primary_cat":"cs.LG","authors_text":"Antonio Napoli, Jaroslaw E. Prilepsky, Jo\\~ao Pedro, Pedro Freire, Sasipim Srivallapanondh, Sergei K. Turitsyn, Yousuf Moiz Ali","submitted_at":"2026-06-29T14:04:08Z","abstract_excerpt":"We propose a hybrid active-online learning framework for label-efficient concept drift adaptation in optical network failure detection. Using margin-based selective labeling, our method achieves nearceiling accuracy and AUC scores while querying only 3.4% of streaming samples, with negligible latency overhead compared to static inference."},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.30322","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/2606.30322/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":"2026-06-30T02:18:10Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"wYvB4gLWd9C4XGZnZXXVn05lnqAsP+WNq3xnImv08pdOUHHe2CQbMVWrEFdXl6u/z0fAQaQlG9djATYiqdxSDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-02T15:08:23.129556Z"},"content_sha256":"5a7139a558d0757470177e3e92d67b0498a3168d3832db9501cff9fc250d888f","schema_version":"1.0","event_id":"sha256:5a7139a558d0757470177e3e92d67b0498a3168d3832db9501cff9fc250d888f"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/DQ32ATABPOPNGSJDE5CTEHCO5O/bundle.json","state_url":"https://pith.science/pith/DQ32ATABPOPNGSJDE5CTEHCO5O/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/DQ32ATABPOPNGSJDE5CTEHCO5O/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":"2026-07-02T15:08:23Z","links":{"resolver":"https://pith.science/pith/DQ32ATABPOPNGSJDE5CTEHCO5O","bundle":"https://pith.science/pith/DQ32ATABPOPNGSJDE5CTEHCO5O/bundle.json","state":"https://pith.science/pith/DQ32ATABPOPNGSJDE5CTEHCO5O/state.json","well_known_bundle":"https://pith.science/.well-known/pith/DQ32ATABPOPNGSJDE5CTEHCO5O/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:DQ32ATABPOPNGSJDE5CTEHCO5O","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":"dc93aed571c14eff79d15544d132ef3677d9fe9148b24f3cc03908216a168d33","cross_cats_sorted":["eess.SP"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2026-06-29T14:04:08Z","title_canon_sha256":"b48d71c9ed38c4c489d8451ea10948e81d58c436e6b5b7eb470e4194d8f5e63a"},"schema_version":"1.0","source":{"id":"2606.30322","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.30322","created_at":"2026-06-30T02:18:10Z"},{"alias_kind":"arxiv_version","alias_value":"2606.30322v1","created_at":"2026-06-30T02:18:10Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.30322","created_at":"2026-06-30T02:18:10Z"},{"alias_kind":"pith_short_12","alias_value":"DQ32ATABPOPN","created_at":"2026-06-30T02:18:10Z"},{"alias_kind":"pith_short_16","alias_value":"DQ32ATABPOPNGSJD","created_at":"2026-06-30T02:18:10Z"},{"alias_kind":"pith_short_8","alias_value":"DQ32ATAB","created_at":"2026-06-30T02:18:10Z"}],"graph_snapshots":[{"event_id":"sha256:5a7139a558d0757470177e3e92d67b0498a3168d3832db9501cff9fc250d888f","target":"graph","created_at":"2026-06-30T02:18:10Z","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/2606.30322/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We propose a hybrid active-online learning framework for label-efficient concept drift adaptation in optical network failure detection. Using margin-based selective labeling, our method achieves nearceiling accuracy and AUC scores while querying only 3.4% of streaming samples, with negligible latency overhead compared to static inference.","authors_text":"Antonio Napoli, Jaroslaw E. Prilepsky, Jo\\~ao Pedro, Pedro Freire, Sasipim Srivallapanondh, Sergei K. Turitsyn, Yousuf Moiz Ali","cross_cats":["eess.SP"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2026-06-29T14:04:08Z","title":"Hybrid Active-Online Learning Framework for Label-Efficient Concept Drift Adaptation in Optical Network Failure Detection"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.30322","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":"sha256:35f7116e3f668a31920d29d3c07b6bd58ce0bdd25fba4dfb1e4e3edf725f7c08","target":"record","created_at":"2026-06-30T02:18:10Z","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":"dc93aed571c14eff79d15544d132ef3677d9fe9148b24f3cc03908216a168d33","cross_cats_sorted":["eess.SP"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2026-06-29T14:04:08Z","title_canon_sha256":"b48d71c9ed38c4c489d8451ea10948e81d58c436e6b5b7eb470e4194d8f5e63a"},"schema_version":"1.0","source":{"id":"2606.30322","kind":"arxiv","version":1}},"canonical_sha256":"1c37a04c017b9ed349232745321c4eeba3cd225f528447fcc294638cab88cf9e","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"1c37a04c017b9ed349232745321c4eeba3cd225f528447fcc294638cab88cf9e","first_computed_at":"2026-06-30T02:18:10.289734Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-30T02:18:10.289734Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Y6zcDY/uyN2k6DVt4NeoPU5tX/HYAX0lxrYv1GIUKQqTT1ISBKAepJ4Vg9nmSmVv4Hx7AwNHv+QlGCMEp2DIDA==","signature_status":"signed_v1","signed_at":"2026-06-30T02:18:10.290348Z","signed_message":"canonical_sha256_bytes"},"source_id":"2606.30322","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:35f7116e3f668a31920d29d3c07b6bd58ce0bdd25fba4dfb1e4e3edf725f7c08","sha256:5a7139a558d0757470177e3e92d67b0498a3168d3832db9501cff9fc250d888f"],"state_sha256":"c3730b8adf994351754590ac3008543b6f53b73a1bc3895cd32779b4e8996613"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"8JqS8SKGu32a4hxok7+0hrLuHu/NNU3xq1RSDe//V7nxfKEsqm89oYAgldMV3eiGpLmwx/bEfLwsC3e6DDCNDw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-02T15:08:23.131539Z","bundle_sha256":"ba90a983db96c9fdc039d5cf8fc070ca0e11f89beabcd57fcf1813d090c30e0f"}}