{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:DTHCI4EEE74RDHBSFXZPK6NDLG","short_pith_number":"pith:DTHCI4EE","canonical_record":{"source":{"id":"2405.04095","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.CR","submitted_at":"2024-05-07T07:55:45Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"b566dc4fb99a6b0b1f3a98e9517292315dfa5d1e9c506d07729575347d609f5c","abstract_canon_sha256":"6a8a5442f145be0bd23434ce9694ca8389aff2e03760fc25c2d106a1d1b00a03"},"schema_version":"1.0"},"canonical_sha256":"1cce24708427f9119c322df2f579a35990a9e6ca8ca1dc4283c6428f09f9a73d","source":{"kind":"arxiv","id":"2405.04095","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2405.04095","created_at":"2026-07-05T11:22:30Z"},{"alias_kind":"arxiv_version","alias_value":"2405.04095v3","created_at":"2026-07-05T11:22:30Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2405.04095","created_at":"2026-07-05T11:22:30Z"},{"alias_kind":"pith_short_12","alias_value":"DTHCI4EEE74R","created_at":"2026-07-05T11:22:30Z"},{"alias_kind":"pith_short_16","alias_value":"DTHCI4EEE74RDHBS","created_at":"2026-07-05T11:22:30Z"},{"alias_kind":"pith_short_8","alias_value":"DTHCI4EE","created_at":"2026-07-05T11:22:30Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:DTHCI4EEE74RDHBSFXZPK6NDLG","target":"record","payload":{"canonical_record":{"source":{"id":"2405.04095","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.CR","submitted_at":"2024-05-07T07:55:45Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"b566dc4fb99a6b0b1f3a98e9517292315dfa5d1e9c506d07729575347d609f5c","abstract_canon_sha256":"6a8a5442f145be0bd23434ce9694ca8389aff2e03760fc25c2d106a1d1b00a03"},"schema_version":"1.0"},"canonical_sha256":"1cce24708427f9119c322df2f579a35990a9e6ca8ca1dc4283c6428f09f9a73d","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:22:30.444510Z","signature_b64":"9LUKoupYb4a9+AawsUj8FSN8x3UV+4VOlt6gqSY4ScNhJlEUJsIq2HvLHOQMaRraVbjubarkCxvzGdcP3xk7BA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"1cce24708427f9119c322df2f579a35990a9e6ca8ca1dc4283c6428f09f9a73d","last_reissued_at":"2026-07-05T11:22:30.443984Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:22:30.443984Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2405.04095","source_version":3,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T11:22:30Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"1sUTLL5GT8X2a8dEr/omOnzqjkO5U+BkN0BrdscnufskJQEHJFsm2qr1AcaU2rp0tlgBLQb6gresEBcgRhTwAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T11:08:11.020907Z"},"content_sha256":"67261ec130883fc754629328f4ce7c2b6bf55a5b5863231e8ca0c8c5a5385177","schema_version":"1.0","event_id":"sha256:67261ec130883fc754629328f4ce7c2b6bf55a5b5863231e8ca0c8c5a5385177"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:DTHCI4EEE74RDHBSFXZPK6NDLG","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Combating Concept Drift with Explanatory Detection and Adaptation for Android Malware Classification","license":"http://creativecommons.org/licenses/by-sa/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CR","authors_text":"Chun Chen, Junchi Lei, Kui Ren, Yiling He, Zhan Qin","submitted_at":"2024-05-07T07:55:45Z","abstract_excerpt":"Machine learning-based Android malware classifiers achieve high accuracy in stationary environments but struggle with concept drift. The rapid evolution of malware, especially with new families, can depress classification accuracy to near-random levels. Previous research has largely centered on detecting drift samples, with expert-led label revisions on these samples to guide model retraining. However, these methods often lack a comprehensive understanding of malware concepts and provide limited guidance for effective drift adaptation, leading to unstable detection performance and high human l"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2405.04095","kind":"arxiv","version":3},"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/2405.04095/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":"2026-07-05T11:22:30Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"38nm07l5DQzNNtFc//XA/SFQxzPurxgGYyqzTky5tDMDOW2Dc2IolUvw6bQ8tnbFPeyfJc0AdZv8DYk1ZhFIBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T11:08:11.022089Z"},"content_sha256":"0c88e2ca106304181da663626b31948312eef66242fa38cee155fb954ef55169","schema_version":"1.0","event_id":"sha256:0c88e2ca106304181da663626b31948312eef66242fa38cee155fb954ef55169"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/DTHCI4EEE74RDHBSFXZPK6NDLG/bundle.json","state_url":"https://pith.science/pith/DTHCI4EEE74RDHBSFXZPK6NDLG/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/DTHCI4EEE74RDHBSFXZPK6NDLG/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":"2026-08-08T11:08:11Z","links":{"resolver":"https://pith.science/pith/DTHCI4EEE74RDHBSFXZPK6NDLG","bundle":"https://pith.science/pith/DTHCI4EEE74RDHBSFXZPK6NDLG/bundle.json","state":"https://pith.science/pith/DTHCI4EEE74RDHBSFXZPK6NDLG/state.json","well_known_bundle":"https://pith.science/.well-known/pith/DTHCI4EEE74RDHBSFXZPK6NDLG/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:DTHCI4EEE74RDHBSFXZPK6NDLG","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":"6a8a5442f145be0bd23434ce9694ca8389aff2e03760fc25c2d106a1d1b00a03","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.CR","submitted_at":"2024-05-07T07:55:45Z","title_canon_sha256":"b566dc4fb99a6b0b1f3a98e9517292315dfa5d1e9c506d07729575347d609f5c"},"schema_version":"1.0","source":{"id":"2405.04095","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2405.04095","created_at":"2026-07-05T11:22:30Z"},{"alias_kind":"arxiv_version","alias_value":"2405.04095v3","created_at":"2026-07-05T11:22:30Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2405.04095","created_at":"2026-07-05T11:22:30Z"},{"alias_kind":"pith_short_12","alias_value":"DTHCI4EEE74R","created_at":"2026-07-05T11:22:30Z"},{"alias_kind":"pith_short_16","alias_value":"DTHCI4EEE74RDHBS","created_at":"2026-07-05T11:22:30Z"},{"alias_kind":"pith_short_8","alias_value":"DTHCI4EE","created_at":"2026-07-05T11:22:30Z"}],"graph_snapshots":[{"event_id":"sha256:0c88e2ca106304181da663626b31948312eef66242fa38cee155fb954ef55169","target":"graph","created_at":"2026-07-05T11:22:30Z","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/2405.04095/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Machine learning-based Android malware classifiers achieve high accuracy in stationary environments but struggle with concept drift. The rapid evolution of malware, especially with new families, can depress classification accuracy to near-random levels. Previous research has largely centered on detecting drift samples, with expert-led label revisions on these samples to guide model retraining. However, these methods often lack a comprehensive understanding of malware concepts and provide limited guidance for effective drift adaptation, leading to unstable detection performance and high human l","authors_text":"Chun Chen, Junchi Lei, Kui Ren, Yiling He, Zhan Qin","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.CR","submitted_at":"2024-05-07T07:55:45Z","title":"Combating Concept Drift with Explanatory Detection and Adaptation for Android Malware Classification"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2405.04095","kind":"arxiv","version":3},"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":"sha256:67261ec130883fc754629328f4ce7c2b6bf55a5b5863231e8ca0c8c5a5385177","target":"record","created_at":"2026-07-05T11:22:30Z","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":"6a8a5442f145be0bd23434ce9694ca8389aff2e03760fc25c2d106a1d1b00a03","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.CR","submitted_at":"2024-05-07T07:55:45Z","title_canon_sha256":"b566dc4fb99a6b0b1f3a98e9517292315dfa5d1e9c506d07729575347d609f5c"},"schema_version":"1.0","source":{"id":"2405.04095","kind":"arxiv","version":3}},"canonical_sha256":"1cce24708427f9119c322df2f579a35990a9e6ca8ca1dc4283c6428f09f9a73d","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"1cce24708427f9119c322df2f579a35990a9e6ca8ca1dc4283c6428f09f9a73d","first_computed_at":"2026-07-05T11:22:30.443984Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:22:30.443984Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"9LUKoupYb4a9+AawsUj8FSN8x3UV+4VOlt6gqSY4ScNhJlEUJsIq2HvLHOQMaRraVbjubarkCxvzGdcP3xk7BA==","signature_status":"signed_v1","signed_at":"2026-07-05T11:22:30.444510Z","signed_message":"canonical_sha256_bytes"},"source_id":"2405.04095","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:67261ec130883fc754629328f4ce7c2b6bf55a5b5863231e8ca0c8c5a5385177","sha256:0c88e2ca106304181da663626b31948312eef66242fa38cee155fb954ef55169"],"state_sha256":"e671f445ba5957d9bf548fdd9b699756dcac7df19c86fbbafee9244365f2d5c2"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"UUFTsrkPZJMBxYyrOzdEn1NusqLkF5KgwUP1yOVQUDCyfnoQfWLbZl27wzctrVPoOizQgUHiOqu1kIHoFT8LCA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-08T11:08:11.031596Z","bundle_sha256":"3088360bc2a8b8c44aefff56c8e6078454a3465d27186f75e4774049366da609"}}