{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:XYMANMVGTSGYKK7HUOPIJDQJON","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":"953b60689f36e1ec08d422e06ad5e9ed85596d49a0877ff1aec4390a52ee0876","cross_cats_sorted":["cs.CR"],"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.LG","submitted_at":"2025-07-11T13:47:07Z","title_canon_sha256":"b8e5393bdc133a838e35c2ca161b3c05303fe115d1bec2873bb9ef42b317ec45"},"schema_version":"1.0","source":{"id":"2507.08597","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2507.08597","created_at":"2026-07-05T11:47:25Z"},{"alias_kind":"arxiv_version","alias_value":"2507.08597v2","created_at":"2026-07-05T11:47:25Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2507.08597","created_at":"2026-07-05T11:47:25Z"},{"alias_kind":"pith_short_12","alias_value":"XYMANMVGTSGY","created_at":"2026-07-05T11:47:25Z"},{"alias_kind":"pith_short_16","alias_value":"XYMANMVGTSGYKK7H","created_at":"2026-07-05T11:47:25Z"},{"alias_kind":"pith_short_8","alias_value":"XYMANMVG","created_at":"2026-07-05T11:47:25Z"}],"graph_snapshots":[{"event_id":"sha256:7f69977f92e298623766c9ae9a2c4270fb03a000c3cf5aee6cf342ac9d64582f","target":"graph","created_at":"2026-07-05T11:47:25Z","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/2507.08597/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Machine learning models are commonly used for malware classification; however, they suffer from performance degradation over time due to concept drift. Adapting these models to changing data distributions requires frequent updates, which rely on costly ground truth annotations. While active learning can reduce the annotation burden, leveraging unlabeled data through semi-supervised learning remains a relatively underexplored approach in the context of malware detection. In this research, we introduce \\texttt{ADAPT}, a novel pseudo-labeling semi-supervised algorithm for addressing concept drift","authors_text":"Aritran Piplai, Md Tanvirul Alam, Nidhi Rastogi","cross_cats":["cs.CR"],"headline":"","license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.LG","submitted_at":"2025-07-11T13:47:07Z","title":"ADAPT: A Pseudo-labeling Approach to Combat Concept Drift in Malware Detection"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2507.08597","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":"sha256:676f17b6fa907c88dec9b71c62f1c98b792f7a4b6016b86c8be01dced1892170","target":"record","created_at":"2026-07-05T11:47:25Z","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":"953b60689f36e1ec08d422e06ad5e9ed85596d49a0877ff1aec4390a52ee0876","cross_cats_sorted":["cs.CR"],"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.LG","submitted_at":"2025-07-11T13:47:07Z","title_canon_sha256":"b8e5393bdc133a838e35c2ca161b3c05303fe115d1bec2873bb9ef42b317ec45"},"schema_version":"1.0","source":{"id":"2507.08597","kind":"arxiv","version":2}},"canonical_sha256":"be1806b2a69c8d852be7a39e848e097370637100e9024cfcbdcc8ed11ec9c265","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"be1806b2a69c8d852be7a39e848e097370637100e9024cfcbdcc8ed11ec9c265","first_computed_at":"2026-07-05T11:47:25.806654Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:47:25.806654Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"5DcoTSpSDUslydnu0VFoeMzC1FabzPSuQulQ0136lVyU3Q7Wdoev7CNXylpZOzIYG+XCAgQnnpATqUHFEn7CBg==","signature_status":"signed_v1","signed_at":"2026-07-05T11:47:25.807172Z","signed_message":"canonical_sha256_bytes"},"source_id":"2507.08597","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:676f17b6fa907c88dec9b71c62f1c98b792f7a4b6016b86c8be01dced1892170","sha256:7f69977f92e298623766c9ae9a2c4270fb03a000c3cf5aee6cf342ac9d64582f"],"state_sha256":"bcf47e1e2a93df3e5ea3481a08e46618d163be9683a61db8b8e33d3cc74c85e5"}