{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:6SMRLJLV35Y6MIODBCRNQBR7HJ","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":"8eeca334786b930803dcbffe84078e772a419511def93d5a1b0cf08f5de64f76","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CR","submitted_at":"2023-10-18T04:36:26Z","title_canon_sha256":"3aa4d479070b2850a84429c3ae1a1b25c00a40d472917a6e176557b2b53fefa1"},"schema_version":"1.0","source":{"id":"2310.11706","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2310.11706","created_at":"2026-07-05T07:02:11Z"},{"alias_kind":"arxiv_version","alias_value":"2310.11706v1","created_at":"2026-07-05T07:02:11Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2310.11706","created_at":"2026-07-05T07:02:11Z"},{"alias_kind":"pith_short_12","alias_value":"6SMRLJLV35Y6","created_at":"2026-07-05T07:02:11Z"},{"alias_kind":"pith_short_16","alias_value":"6SMRLJLV35Y6MIOD","created_at":"2026-07-05T07:02:11Z"},{"alias_kind":"pith_short_8","alias_value":"6SMRLJLV","created_at":"2026-07-05T07:02:11Z"}],"graph_snapshots":[{"event_id":"sha256:412cfa90f16222b175bb11cb0e20fee1579d6d46eac3e66606fb87492aec846b","target":"graph","created_at":"2026-07-05T07:02:11Z","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/2310.11706/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Existing research on malware classification focuses almost exclusively on two tasks: distinguishing between malicious and benign files and classifying malware by family. However, malware can be categorized according to many other types of attributes, and the ability to identify these attributes in newly-emerging malware using machine learning could provide significant value to analysts. In particular, we have identified four tasks which are under-represented in prior work: classification by behaviors that malware exhibit, platforms that malware run on, vulnerabilities that malware exploit, and","authors_text":"Charles Nicholas, Edward Raff, James Holt, Robert J. Joyce","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CR","submitted_at":"2023-10-18T04:36:26Z","title":"MalDICT: Benchmark Datasets on Malware Behaviors, Platforms, Exploitation, and Packers"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2310.11706","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":"sha256:4e2968232383be7f2a981ec0e9e7c068e3d0cc96d4008067f16681ae876cc5a8","target":"record","created_at":"2026-07-05T07:02:11Z","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":"8eeca334786b930803dcbffe84078e772a419511def93d5a1b0cf08f5de64f76","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CR","submitted_at":"2023-10-18T04:36:26Z","title_canon_sha256":"3aa4d479070b2850a84429c3ae1a1b25c00a40d472917a6e176557b2b53fefa1"},"schema_version":"1.0","source":{"id":"2310.11706","kind":"arxiv","version":1}},"canonical_sha256":"f49915a575df71e621c308a2d8063f3a7b7dc6bd481fb130ae7db9ba3c1e5f9d","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"f49915a575df71e621c308a2d8063f3a7b7dc6bd481fb130ae7db9ba3c1e5f9d","first_computed_at":"2026-07-05T07:02:11.219063Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:02:11.219063Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"5lLdA1LS8o+4QYmsvrJQJh2xx4UvPN5us1PTtwhhsVbIs/ImR6Kt54vg/x7AcuG3vbhSyWMQtjdvWocDlySHDQ==","signature_status":"signed_v1","signed_at":"2026-07-05T07:02:11.219511Z","signed_message":"canonical_sha256_bytes"},"source_id":"2310.11706","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:4e2968232383be7f2a981ec0e9e7c068e3d0cc96d4008067f16681ae876cc5a8","sha256:412cfa90f16222b175bb11cb0e20fee1579d6d46eac3e66606fb87492aec846b"],"state_sha256":"76de707d7f091a37b32b8d6c1baec0f943e9699003e303824b829c963270496e"}