{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:CIBRSBJ4LM45ZCLOUBTCNFFHW6","short_pith_number":"pith:CIBRSBJ4","canonical_record":{"source":{"id":"2502.13055","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CR","submitted_at":"2025-02-18T17:01:37Z","cross_cats_sorted":["cs.AI","cs.LG"],"title_canon_sha256":"0cbe6571119034321fdbaf3a51a146ea139f9c95f8432c802f5c428dacc8ed9b","abstract_canon_sha256":"aa52428e795e985275ee7e164fd605b50ff5082c936c93abb9f70a8f1975c535"},"schema_version":"1.0"},"canonical_sha256":"120319053c5b39dc896ea0662694a7b7b0c9bd8c5c1175fa327e109a32a1d2cd","source":{"kind":"arxiv","id":"2502.13055","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2502.13055","created_at":"2026-07-05T10:51:59Z"},{"alias_kind":"arxiv_version","alias_value":"2502.13055v2","created_at":"2026-07-05T10:51:59Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2502.13055","created_at":"2026-07-05T10:51:59Z"},{"alias_kind":"pith_short_12","alias_value":"CIBRSBJ4LM45","created_at":"2026-07-05T10:51:59Z"},{"alias_kind":"pith_short_16","alias_value":"CIBRSBJ4LM45ZCLO","created_at":"2026-07-05T10:51:59Z"},{"alias_kind":"pith_short_8","alias_value":"CIBRSBJ4","created_at":"2026-07-05T10:51:59Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:CIBRSBJ4LM45ZCLOUBTCNFFHW6","target":"record","payload":{"canonical_record":{"source":{"id":"2502.13055","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CR","submitted_at":"2025-02-18T17:01:37Z","cross_cats_sorted":["cs.AI","cs.LG"],"title_canon_sha256":"0cbe6571119034321fdbaf3a51a146ea139f9c95f8432c802f5c428dacc8ed9b","abstract_canon_sha256":"aa52428e795e985275ee7e164fd605b50ff5082c936c93abb9f70a8f1975c535"},"schema_version":"1.0"},"canonical_sha256":"120319053c5b39dc896ea0662694a7b7b0c9bd8c5c1175fa327e109a32a1d2cd","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:51:59.746942Z","signature_b64":"mCbeZUqrAxPAYfjFhQM4yEn8OEuIrtTAWNoxepQK/iQg6X2eVbScVO3vm4ZXn2fo2DsqKv2c5SzEacma9/XkBg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"120319053c5b39dc896ea0662694a7b7b0c9bd8c5c1175fa327e109a32a1d2cd","last_reissued_at":"2026-07-05T10:51:59.746428Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:51:59.746428Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2502.13055","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T10:51:59Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"PZIxj/QIYaCK+gTyB677U07povfeFG3BKVElXznERUAZsvcQ1oh06BysGS1J1fi3ftgCmJMftDlZTuxX6BR+Aw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T17:32:26.953776Z"},"content_sha256":"98f66a0abc4e8abc45cc319c45f8e651e1528c6ec8f6f05d4470a153d65f17f8","schema_version":"1.0","event_id":"sha256:98f66a0abc4e8abc45cc319c45f8e651e1528c6ec8f6f05d4470a153d65f17f8"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:CIBRSBJ4LM45ZCLOUBTCNFFHW6","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"LAMD: Context-driven Android Malware Detection and Classification with LLMs","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI","cs.LG"],"primary_cat":"cs.CR","authors_text":"Lorenzo Cavallaro, Shuo Yang, Xingzhi Qian, Xinran Zheng, Yiling He","submitted_at":"2025-02-18T17:01:37Z","abstract_excerpt":"The rapid growth of mobile applications has escalated Android malware threats. Although there are numerous detection methods, they often struggle with evolving attacks, dataset biases, and limited explainability. Large Language Models (LLMs) offer a promising alternative with their zero-shot inference and reasoning capabilities. However, applying LLMs to Android malware detection presents two key challenges: (1)the extensive support code in Android applications, often spanning thousands of classes, exceeds LLMs' context limits and obscures malicious behavior within benign functionality; (2)the"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2502.13055","kind":"arxiv","version":2},"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/2502.13055/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":"2026-07-05T10:51:59Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"dB7j77D6GJHKm+suvZ+XKjXY0NCCA5h486mHKmUBh37JsfCl8RDHXDDyWclFTC/WH6IOLlIqiiC/NVAi8kNRBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T17:32:26.954711Z"},"content_sha256":"ddcffd43721edf3a999dbc0d56536d97ceb5546042e25bd13b5b9c0495dc5667","schema_version":"1.0","event_id":"sha256:ddcffd43721edf3a999dbc0d56536d97ceb5546042e25bd13b5b9c0495dc5667"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/CIBRSBJ4LM45ZCLOUBTCNFFHW6/bundle.json","state_url":"https://pith.science/pith/CIBRSBJ4LM45ZCLOUBTCNFFHW6/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/CIBRSBJ4LM45ZCLOUBTCNFFHW6/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":"2026-08-08T17:32:26Z","links":{"resolver":"https://pith.science/pith/CIBRSBJ4LM45ZCLOUBTCNFFHW6","bundle":"https://pith.science/pith/CIBRSBJ4LM45ZCLOUBTCNFFHW6/bundle.json","state":"https://pith.science/pith/CIBRSBJ4LM45ZCLOUBTCNFFHW6/state.json","well_known_bundle":"https://pith.science/.well-known/pith/CIBRSBJ4LM45ZCLOUBTCNFFHW6/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:CIBRSBJ4LM45ZCLOUBTCNFFHW6","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":"aa52428e795e985275ee7e164fd605b50ff5082c936c93abb9f70a8f1975c535","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CR","submitted_at":"2025-02-18T17:01:37Z","title_canon_sha256":"0cbe6571119034321fdbaf3a51a146ea139f9c95f8432c802f5c428dacc8ed9b"},"schema_version":"1.0","source":{"id":"2502.13055","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2502.13055","created_at":"2026-07-05T10:51:59Z"},{"alias_kind":"arxiv_version","alias_value":"2502.13055v2","created_at":"2026-07-05T10:51:59Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2502.13055","created_at":"2026-07-05T10:51:59Z"},{"alias_kind":"pith_short_12","alias_value":"CIBRSBJ4LM45","created_at":"2026-07-05T10:51:59Z"},{"alias_kind":"pith_short_16","alias_value":"CIBRSBJ4LM45ZCLO","created_at":"2026-07-05T10:51:59Z"},{"alias_kind":"pith_short_8","alias_value":"CIBRSBJ4","created_at":"2026-07-05T10:51:59Z"}],"graph_snapshots":[{"event_id":"sha256:ddcffd43721edf3a999dbc0d56536d97ceb5546042e25bd13b5b9c0495dc5667","target":"graph","created_at":"2026-07-05T10:51:59Z","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/2502.13055/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The rapid growth of mobile applications has escalated Android malware threats. Although there are numerous detection methods, they often struggle with evolving attacks, dataset biases, and limited explainability. Large Language Models (LLMs) offer a promising alternative with their zero-shot inference and reasoning capabilities. However, applying LLMs to Android malware detection presents two key challenges: (1)the extensive support code in Android applications, often spanning thousands of classes, exceeds LLMs' context limits and obscures malicious behavior within benign functionality; (2)the","authors_text":"Lorenzo Cavallaro, Shuo Yang, Xingzhi Qian, Xinran Zheng, Yiling He","cross_cats":["cs.AI","cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CR","submitted_at":"2025-02-18T17:01:37Z","title":"LAMD: Context-driven Android Malware Detection and Classification with LLMs"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2502.13055","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":"sha256:98f66a0abc4e8abc45cc319c45f8e651e1528c6ec8f6f05d4470a153d65f17f8","target":"record","created_at":"2026-07-05T10:51:59Z","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":"aa52428e795e985275ee7e164fd605b50ff5082c936c93abb9f70a8f1975c535","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CR","submitted_at":"2025-02-18T17:01:37Z","title_canon_sha256":"0cbe6571119034321fdbaf3a51a146ea139f9c95f8432c802f5c428dacc8ed9b"},"schema_version":"1.0","source":{"id":"2502.13055","kind":"arxiv","version":2}},"canonical_sha256":"120319053c5b39dc896ea0662694a7b7b0c9bd8c5c1175fa327e109a32a1d2cd","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"120319053c5b39dc896ea0662694a7b7b0c9bd8c5c1175fa327e109a32a1d2cd","first_computed_at":"2026-07-05T10:51:59.746428Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:51:59.746428Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"mCbeZUqrAxPAYfjFhQM4yEn8OEuIrtTAWNoxepQK/iQg6X2eVbScVO3vm4ZXn2fo2DsqKv2c5SzEacma9/XkBg==","signature_status":"signed_v1","signed_at":"2026-07-05T10:51:59.746942Z","signed_message":"canonical_sha256_bytes"},"source_id":"2502.13055","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:98f66a0abc4e8abc45cc319c45f8e651e1528c6ec8f6f05d4470a153d65f17f8","sha256:ddcffd43721edf3a999dbc0d56536d97ceb5546042e25bd13b5b9c0495dc5667"],"state_sha256":"010bc2e54f824125275d7f81dd4c93e027fccd5bc01a0491457646aea9a79cc3"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"NveqjVrlOH33BGoR6egQd8ocsuF9iy1rrrQNQgZGGzwkigqCbNP+CZudxn+rZ565p+wxcLCEO/svKzm10G8NAw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-08T17:32:26.960349Z","bundle_sha256":"8562284213596f4a7eb78acda23f61aeebae8ec05cbf39d4cccb81d6599f08d6"}}