{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:7KC2GNQAIEOYXYG5J3NU4A2D2J","short_pith_number":"pith:7KC2GNQA","canonical_record":{"source":{"id":"2608.01642","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CR","submitted_at":"2026-08-03T03:24:58Z","cross_cats_sorted":[],"title_canon_sha256":"51baf2d658933323d328b1fa3c76727cdeb03af9f01371c27328e3eae389ffa0","abstract_canon_sha256":"7a32a32d032652e4fffb705c19ff0d5f730088a762e1fa3665d4b0e8e3b1a128"},"schema_version":"1.0"},"canonical_sha256":"fa85a33600411d8be0dd4edb4e0343d25b34f27d37364dc68fcb2563fde4aa3d","source":{"kind":"arxiv","id":"2608.01642","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2608.01642","created_at":"2026-08-04T02:06:19Z"},{"alias_kind":"arxiv_version","alias_value":"2608.01642v1","created_at":"2026-08-04T02:06:19Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2608.01642","created_at":"2026-08-04T02:06:19Z"},{"alias_kind":"pith_short_12","alias_value":"7KC2GNQAIEOY","created_at":"2026-08-04T02:06:19Z"},{"alias_kind":"pith_short_16","alias_value":"7KC2GNQAIEOYXYG5","created_at":"2026-08-04T02:06:19Z"},{"alias_kind":"pith_short_8","alias_value":"7KC2GNQA","created_at":"2026-08-04T02:06:19Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:7KC2GNQAIEOYXYG5J3NU4A2D2J","target":"record","payload":{"canonical_record":{"source":{"id":"2608.01642","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CR","submitted_at":"2026-08-03T03:24:58Z","cross_cats_sorted":[],"title_canon_sha256":"51baf2d658933323d328b1fa3c76727cdeb03af9f01371c27328e3eae389ffa0","abstract_canon_sha256":"7a32a32d032652e4fffb705c19ff0d5f730088a762e1fa3665d4b0e8e3b1a128"},"schema_version":"1.0"},"canonical_sha256":"fa85a33600411d8be0dd4edb4e0343d25b34f27d37364dc68fcb2563fde4aa3d","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-08-04T02:06:19.150718Z","signature_b64":"0WPGhrQYCYAxaGwd5EzZqkspZsUvSAwdcB3i5+x9KFM7RsREWCEYsg82vSEjpwqGNADzQs60phlJhgLGqekDDQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"fa85a33600411d8be0dd4edb4e0343d25b34f27d37364dc68fcb2563fde4aa3d","last_reissued_at":"2026-08-04T02:06:19.143278Z","signature_status":"signed_v1","first_computed_at":"2026-08-04T02:06:19.143278Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2608.01642","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":"2026-08-04T02:06:19Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ofN4ZWvV1RDiVPl9XB5edQlDNexFl/B7FN4QwZkHLRYgAYqOtjPUulmCj54DCs43fuwOoKBU+p7YKcwHByKRDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T06:13:39.136836Z"},"content_sha256":"3704baabdbfb93d1fdc0e06397aa1a7d8d6e9d31c2e70f49753bfbcc74a3ca6b","schema_version":"1.0","event_id":"sha256:3704baabdbfb93d1fdc0e06397aa1a7d8d6e9d31c2e70f49753bfbcc74a3ca6b"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:7KC2GNQAIEOYXYG5J3NU4A2D2J","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Performance analysis of Machine learning algorithms for predicting malware","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CR","authors_text":"ABM.Adnan Azmee, Md. Aosaful Alam, Muhammad Iqbal Hossain, Orko Dutta, Pranto Protim Choudhury","submitted_at":"2026-08-03T03:24:58Z","abstract_excerpt":"Malware poses a persistent and evolving threat to modern computing systems, making accurate and timely detection a critical cybersecurity challenge. Traditional signature-based antivirus solutions often fail to identify newly emerging malware, leaving systems vulnerable until updated signatures become available. To address this limitation, this study proposes a machine learning-based malware detection framework capable of distinguishing malicious software from benign applications with high accuracy. Several state-of-the-art classification algorithms, including Artificial Neural Networks (ANN),"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2608.01642","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/2608.01642/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":"2026-08-04T02:06:19Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Z+KH2YaLrT9y22T/IHBxIKJPZLNfIlhfmF54WeGM5/gA0iiDRKtatpoN2kpIb3D/rAZKjMUAUQti0FHVbRpVAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T06:13:39.137605Z"},"content_sha256":"9d8bf7d8f51d372db9014229f041fd99e2e71d0c3a6057994c17597cc2c9aefa","schema_version":"1.0","event_id":"sha256:9d8bf7d8f51d372db9014229f041fd99e2e71d0c3a6057994c17597cc2c9aefa"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/7KC2GNQAIEOYXYG5J3NU4A2D2J/bundle.json","state_url":"https://pith.science/pith/7KC2GNQAIEOYXYG5J3NU4A2D2J/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/7KC2GNQAIEOYXYG5J3NU4A2D2J/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":"2026-08-05T06:13:39Z","links":{"resolver":"https://pith.science/pith/7KC2GNQAIEOYXYG5J3NU4A2D2J","bundle":"https://pith.science/pith/7KC2GNQAIEOYXYG5J3NU4A2D2J/bundle.json","state":"https://pith.science/pith/7KC2GNQAIEOYXYG5J3NU4A2D2J/state.json","well_known_bundle":"https://pith.science/.well-known/pith/7KC2GNQAIEOYXYG5J3NU4A2D2J/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:7KC2GNQAIEOYXYG5J3NU4A2D2J","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":"7a32a32d032652e4fffb705c19ff0d5f730088a762e1fa3665d4b0e8e3b1a128","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CR","submitted_at":"2026-08-03T03:24:58Z","title_canon_sha256":"51baf2d658933323d328b1fa3c76727cdeb03af9f01371c27328e3eae389ffa0"},"schema_version":"1.0","source":{"id":"2608.01642","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2608.01642","created_at":"2026-08-04T02:06:19Z"},{"alias_kind":"arxiv_version","alias_value":"2608.01642v1","created_at":"2026-08-04T02:06:19Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2608.01642","created_at":"2026-08-04T02:06:19Z"},{"alias_kind":"pith_short_12","alias_value":"7KC2GNQAIEOY","created_at":"2026-08-04T02:06:19Z"},{"alias_kind":"pith_short_16","alias_value":"7KC2GNQAIEOYXYG5","created_at":"2026-08-04T02:06:19Z"},{"alias_kind":"pith_short_8","alias_value":"7KC2GNQA","created_at":"2026-08-04T02:06:19Z"}],"graph_snapshots":[{"event_id":"sha256:9d8bf7d8f51d372db9014229f041fd99e2e71d0c3a6057994c17597cc2c9aefa","target":"graph","created_at":"2026-08-04T02:06:19Z","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/2608.01642/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Malware poses a persistent and evolving threat to modern computing systems, making accurate and timely detection a critical cybersecurity challenge. Traditional signature-based antivirus solutions often fail to identify newly emerging malware, leaving systems vulnerable until updated signatures become available. To address this limitation, this study proposes a machine learning-based malware detection framework capable of distinguishing malicious software from benign applications with high accuracy. Several state-of-the-art classification algorithms, including Artificial Neural Networks (ANN),","authors_text":"ABM.Adnan Azmee, Md. Aosaful Alam, Muhammad Iqbal Hossain, Orko Dutta, Pranto Protim Choudhury","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CR","submitted_at":"2026-08-03T03:24:58Z","title":"Performance analysis of Machine learning algorithms for predicting malware"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2608.01642","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":"sha256:3704baabdbfb93d1fdc0e06397aa1a7d8d6e9d31c2e70f49753bfbcc74a3ca6b","target":"record","created_at":"2026-08-04T02:06:19Z","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":"7a32a32d032652e4fffb705c19ff0d5f730088a762e1fa3665d4b0e8e3b1a128","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CR","submitted_at":"2026-08-03T03:24:58Z","title_canon_sha256":"51baf2d658933323d328b1fa3c76727cdeb03af9f01371c27328e3eae389ffa0"},"schema_version":"1.0","source":{"id":"2608.01642","kind":"arxiv","version":1}},"canonical_sha256":"fa85a33600411d8be0dd4edb4e0343d25b34f27d37364dc68fcb2563fde4aa3d","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"fa85a33600411d8be0dd4edb4e0343d25b34f27d37364dc68fcb2563fde4aa3d","first_computed_at":"2026-08-04T02:06:19.143278Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-08-04T02:06:19.143278Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"0WPGhrQYCYAxaGwd5EzZqkspZsUvSAwdcB3i5+x9KFM7RsREWCEYsg82vSEjpwqGNADzQs60phlJhgLGqekDDQ==","signature_status":"signed_v1","signed_at":"2026-08-04T02:06:19.150718Z","signed_message":"canonical_sha256_bytes"},"source_id":"2608.01642","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:3704baabdbfb93d1fdc0e06397aa1a7d8d6e9d31c2e70f49753bfbcc74a3ca6b","sha256:9d8bf7d8f51d372db9014229f041fd99e2e71d0c3a6057994c17597cc2c9aefa"],"state_sha256":"be56973712eaf32279e5ac015da7fdf024562ae14cc98290c928dc17762a3304"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"CyILbOI/3xSsE5GCih4IiyJiTvh4VQVK6w4fL8WZ2ZO6wNARFCajBLKpJbvNa5B1135y0L9GgDGhFFcv76UPAQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-05T06:13:39.142324Z","bundle_sha256":"83fb829c2f5000a922c672a1586e272477704e79c93752dce8d3d0f800a7549e"}}