{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:J3JOJXARFQR2UHR6SBRWPWZNTU","short_pith_number":"pith:J3JOJXAR","canonical_record":{"source":{"id":"2608.13465","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2026-08-13T16:46:56Z","cross_cats_sorted":["cs.AI","cs.CR"],"title_canon_sha256":"c9f43cc6c04b91cbc7c5ac233ac6cd4ef8a80d06f3fd73d0194fd063e8d7bb02","abstract_canon_sha256":"830104ccf1ff530faec944cc033bf7b165160dd8e7a655dc7e8eaed2dc4d788a"},"schema_version":"1.0"},"canonical_sha256":"4ed2e4dc112c23aa1e3e906367db2d9d36726bfd470257b84f2dff597ab09362","source":{"kind":"arxiv","id":"2608.13465","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2608.13465","created_at":"2026-08-14T01:04:30Z"},{"alias_kind":"arxiv_version","alias_value":"2608.13465v1","created_at":"2026-08-14T01:04:30Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2608.13465","created_at":"2026-08-14T01:04:30Z"},{"alias_kind":"pith_short_12","alias_value":"J3JOJXARFQR2","created_at":"2026-08-14T01:04:30Z"},{"alias_kind":"pith_short_16","alias_value":"J3JOJXARFQR2UHR6","created_at":"2026-08-14T01:04:30Z"},{"alias_kind":"pith_short_8","alias_value":"J3JOJXAR","created_at":"2026-08-14T01:04:30Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:J3JOJXARFQR2UHR6SBRWPWZNTU","target":"record","payload":{"canonical_record":{"source":{"id":"2608.13465","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2026-08-13T16:46:56Z","cross_cats_sorted":["cs.AI","cs.CR"],"title_canon_sha256":"c9f43cc6c04b91cbc7c5ac233ac6cd4ef8a80d06f3fd73d0194fd063e8d7bb02","abstract_canon_sha256":"830104ccf1ff530faec944cc033bf7b165160dd8e7a655dc7e8eaed2dc4d788a"},"schema_version":"1.0"},"canonical_sha256":"4ed2e4dc112c23aa1e3e906367db2d9d36726bfd470257b84f2dff597ab09362","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-08-14T01:04:30.036255Z","signature_b64":"ibllzwymS1t8r0+0ETA44zpthZ09sAOFm/NsW3pYGOtDMZX4IJina2kv+u3dqBCwXfKZUjhBUQJMI1VaGExNCw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"4ed2e4dc112c23aa1e3e906367db2d9d36726bfd470257b84f2dff597ab09362","last_reissued_at":"2026-08-14T01:04:30.033804Z","signature_status":"signed_v1","first_computed_at":"2026-08-14T01:04:30.033804Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2608.13465","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":"2026-08-14T01:04:30Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"x0L//67Ps9GNBG66LJFAQsEBVbWqCliIY+jUjS2T2+j35tsW0CbexjENYrDRZz0IOYDMXAkwS2drr+UAqA6aCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-16T13:57:49.587150Z"},"content_sha256":"05a9fc4215f9e2263250917bdbbda6b32716ed538922ebafa6cfa078d0e754cb","schema_version":"1.0","event_id":"sha256:05a9fc4215f9e2263250917bdbbda6b32716ed538922ebafa6cfa078d0e754cb"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:J3JOJXARFQR2UHR6SBRWPWZNTU","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Concept Drift Detection and Adaptive Retraining of Malware Classification Models","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI","cs.CR"],"primary_cat":"cs.LG","authors_text":"Christofer Washington Berruz Chungata, Katerina Potika, Mark Stamp, Martin Jurecek, William B. Andreopoulos","submitted_at":"2026-08-13T16:46:56Z","abstract_excerpt":"Concept drift refers to changes over time in the statistical properties of data, as compared to the data that was used to train a learning model. Machine learning models for malware detection or classification are particularly susceptible to performance degradation caused by concept drift, as attackers constantly modify existing malware. In this chapter, we analyze two machine learning-based approaches to automated concept drift detection-a novel approach based on One-Class Support Vector Machines (OCSVM) and a previously-studied technique based on Minibatch K-Means (MK-Means). For comparison "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2608.13465","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/2608.13465/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":"2026-08-14T01:04:30Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"F7SiMp3IgRQItwxY2aZxKCOthDwfXqGzx/HSH/PCD5gUhR1Fv/kxonllkRNVMdMzPfxjfcXz6O1byqsMGs5VBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-16T13:57:49.587669Z"},"content_sha256":"1e7167a57c1b6dedf500fe54e659a5e29fa90d3a1673691e02f1200fcfcd1778","schema_version":"1.0","event_id":"sha256:1e7167a57c1b6dedf500fe54e659a5e29fa90d3a1673691e02f1200fcfcd1778"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/J3JOJXARFQR2UHR6SBRWPWZNTU/bundle.json","state_url":"https://pith.science/pith/J3JOJXARFQR2UHR6SBRWPWZNTU/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/J3JOJXARFQR2UHR6SBRWPWZNTU/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":"2026-08-16T13:57:49Z","links":{"resolver":"https://pith.science/pith/J3JOJXARFQR2UHR6SBRWPWZNTU","bundle":"https://pith.science/pith/J3JOJXARFQR2UHR6SBRWPWZNTU/bundle.json","state":"https://pith.science/pith/J3JOJXARFQR2UHR6SBRWPWZNTU/state.json","well_known_bundle":"https://pith.science/.well-known/pith/J3JOJXARFQR2UHR6SBRWPWZNTU/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:J3JOJXARFQR2UHR6SBRWPWZNTU","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":"830104ccf1ff530faec944cc033bf7b165160dd8e7a655dc7e8eaed2dc4d788a","cross_cats_sorted":["cs.AI","cs.CR"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2026-08-13T16:46:56Z","title_canon_sha256":"c9f43cc6c04b91cbc7c5ac233ac6cd4ef8a80d06f3fd73d0194fd063e8d7bb02"},"schema_version":"1.0","source":{"id":"2608.13465","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2608.13465","created_at":"2026-08-14T01:04:30Z"},{"alias_kind":"arxiv_version","alias_value":"2608.13465v1","created_at":"2026-08-14T01:04:30Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2608.13465","created_at":"2026-08-14T01:04:30Z"},{"alias_kind":"pith_short_12","alias_value":"J3JOJXARFQR2","created_at":"2026-08-14T01:04:30Z"},{"alias_kind":"pith_short_16","alias_value":"J3JOJXARFQR2UHR6","created_at":"2026-08-14T01:04:30Z"},{"alias_kind":"pith_short_8","alias_value":"J3JOJXAR","created_at":"2026-08-14T01:04:30Z"}],"graph_snapshots":[{"event_id":"sha256:1e7167a57c1b6dedf500fe54e659a5e29fa90d3a1673691e02f1200fcfcd1778","target":"graph","created_at":"2026-08-14T01:04:30Z","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/2608.13465/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Concept drift refers to changes over time in the statistical properties of data, as compared to the data that was used to train a learning model. Machine learning models for malware detection or classification are particularly susceptible to performance degradation caused by concept drift, as attackers constantly modify existing malware. In this chapter, we analyze two machine learning-based approaches to automated concept drift detection-a novel approach based on One-Class Support Vector Machines (OCSVM) and a previously-studied technique based on Minibatch K-Means (MK-Means). For comparison ","authors_text":"Christofer Washington Berruz Chungata, Katerina Potika, Mark Stamp, Martin Jurecek, William B. Andreopoulos","cross_cats":["cs.AI","cs.CR"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2026-08-13T16:46:56Z","title":"Concept Drift Detection and Adaptive Retraining of Malware Classification Models"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2608.13465","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":"sha256:05a9fc4215f9e2263250917bdbbda6b32716ed538922ebafa6cfa078d0e754cb","target":"record","created_at":"2026-08-14T01:04:30Z","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":"830104ccf1ff530faec944cc033bf7b165160dd8e7a655dc7e8eaed2dc4d788a","cross_cats_sorted":["cs.AI","cs.CR"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2026-08-13T16:46:56Z","title_canon_sha256":"c9f43cc6c04b91cbc7c5ac233ac6cd4ef8a80d06f3fd73d0194fd063e8d7bb02"},"schema_version":"1.0","source":{"id":"2608.13465","kind":"arxiv","version":1}},"canonical_sha256":"4ed2e4dc112c23aa1e3e906367db2d9d36726bfd470257b84f2dff597ab09362","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"4ed2e4dc112c23aa1e3e906367db2d9d36726bfd470257b84f2dff597ab09362","first_computed_at":"2026-08-14T01:04:30.033804Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-08-14T01:04:30.033804Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"ibllzwymS1t8r0+0ETA44zpthZ09sAOFm/NsW3pYGOtDMZX4IJina2kv+u3dqBCwXfKZUjhBUQJMI1VaGExNCw==","signature_status":"signed_v1","signed_at":"2026-08-14T01:04:30.036255Z","signed_message":"canonical_sha256_bytes"},"source_id":"2608.13465","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:05a9fc4215f9e2263250917bdbbda6b32716ed538922ebafa6cfa078d0e754cb","sha256:1e7167a57c1b6dedf500fe54e659a5e29fa90d3a1673691e02f1200fcfcd1778"],"state_sha256":"0fb30c9589053b0b5bda735dc2f1515fe62f0665b8e53f4ff90d12ffbe943856"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"rLtYmp8tVxgrVYLTlPPrJXMAAhex4EppAV9AbY0fLFpOvp2d9mCakcQc6tX3CHOdyRcLD51mesp7/7WiIUXtDA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-16T13:57:49.591829Z","bundle_sha256":"3c653ba848c9097398c57812ed37f92f49b8df80cca7238656936bf6c4235c7f"}}