{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:72PDNZ766UJHTY4IGCGMY75OGA","short_pith_number":"pith:72PDNZ76","canonical_record":{"source":{"id":"2404.13402","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CR","submitted_at":"2024-04-20T15:04:25Z","cross_cats_sorted":["cs.AI","cs.CL"],"title_canon_sha256":"a0acf6369c464031d7eeeab25d1786d4a74b50b76f2ef1ee9c7d032dffe34bdf","abstract_canon_sha256":"9d468a0f99d319f4fc20715bfc57167cf1422d8019e5e4eac68a8c82c3550089"},"schema_version":"1.0"},"canonical_sha256":"fe9e36e7fef51279e388308ccc7fae3002eda04909938e355303d2701d25f039","source":{"kind":"arxiv","id":"2404.13402","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2404.13402","created_at":"2026-07-05T08:10:31Z"},{"alias_kind":"arxiv_version","alias_value":"2404.13402v1","created_at":"2026-07-05T08:10:31Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2404.13402","created_at":"2026-07-05T08:10:31Z"},{"alias_kind":"pith_short_12","alias_value":"72PDNZ766UJH","created_at":"2026-07-05T08:10:31Z"},{"alias_kind":"pith_short_16","alias_value":"72PDNZ766UJHTY4I","created_at":"2026-07-05T08:10:31Z"},{"alias_kind":"pith_short_8","alias_value":"72PDNZ76","created_at":"2026-07-05T08:10:31Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:72PDNZ766UJHTY4IGCGMY75OGA","target":"record","payload":{"canonical_record":{"source":{"id":"2404.13402","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CR","submitted_at":"2024-04-20T15:04:25Z","cross_cats_sorted":["cs.AI","cs.CL"],"title_canon_sha256":"a0acf6369c464031d7eeeab25d1786d4a74b50b76f2ef1ee9c7d032dffe34bdf","abstract_canon_sha256":"9d468a0f99d319f4fc20715bfc57167cf1422d8019e5e4eac68a8c82c3550089"},"schema_version":"1.0"},"canonical_sha256":"fe9e36e7fef51279e388308ccc7fae3002eda04909938e355303d2701d25f039","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:10:31.596967Z","signature_b64":"y2UOBz//c1CtHpRIthwZrlf0TncqO4SXnSL6mGkb6yLOQ4hva5tm1gP5xvutR1glenZz9g18MYSowA87XhxOBQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"fe9e36e7fef51279e388308ccc7fae3002eda04909938e355303d2701d25f039","last_reissued_at":"2026-07-05T08:10:31.596458Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:10:31.596458Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2404.13402","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":"2026-07-05T08:10:31Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"fypqnSiLztftaTkLd/NXHPdLDoDEXKSaEymi0UF9RXaMtctpdhUCGnNf8fh1h/COPpXtOHBwMnJybTRxdBwRBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-13T09:20:11.714931Z"},"content_sha256":"a05e5ccac5474745272b134b832695a6b1391fa3b8e205b58ebf4363c2d95896","schema_version":"1.0","event_id":"sha256:a05e5ccac5474745272b134b832695a6b1391fa3b8e205b58ebf4363c2d95896"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:72PDNZ766UJHTY4IGCGMY75OGA","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Intrusion Detection at Scale with the Assistance of a Command-line Language Model","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI","cs.CL"],"primary_cat":"cs.CR","authors_text":"Hao Chen, Jiongliang Lin, Yiwen Guo","submitted_at":"2024-04-20T15:04:25Z","abstract_excerpt":"Intrusion detection is a long standing and crucial problem in security. A system capable of detecting intrusions automatically is on great demand in enterprise security solutions. Existing solutions rely heavily on hand-crafted rules designed by security operators, which suffer from high false negative rates and poor generalization ability to new, zero-day attacks at scale. AI and machine learning offer promising solutions to address the issues, by inspecting abnormal user behaviors intelligently and automatically from data. However, existing learning-based intrusion detection systems in the l"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2404.13402","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/2404.13402/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":"2026-07-05T08:10:31Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"0Q+U0ilkog5/f7ezh9LBhnPPCMohN6vuot8vBDIFiY+o3m1UU1mVTtXysoSQ4aRRzxjETIDQYE2N7MHOmofkAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-13T09:20:11.716701Z"},"content_sha256":"d9652e3a0fac6e38095a29cb311014f0e3da5a495d6dd396ec8e34169b362322","schema_version":"1.0","event_id":"sha256:d9652e3a0fac6e38095a29cb311014f0e3da5a495d6dd396ec8e34169b362322"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/72PDNZ766UJHTY4IGCGMY75OGA/bundle.json","state_url":"https://pith.science/pith/72PDNZ766UJHTY4IGCGMY75OGA/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/72PDNZ766UJHTY4IGCGMY75OGA/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":"2026-08-13T09:20:11Z","links":{"resolver":"https://pith.science/pith/72PDNZ766UJHTY4IGCGMY75OGA","bundle":"https://pith.science/pith/72PDNZ766UJHTY4IGCGMY75OGA/bundle.json","state":"https://pith.science/pith/72PDNZ766UJHTY4IGCGMY75OGA/state.json","well_known_bundle":"https://pith.science/.well-known/pith/72PDNZ766UJHTY4IGCGMY75OGA/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:72PDNZ766UJHTY4IGCGMY75OGA","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":"9d468a0f99d319f4fc20715bfc57167cf1422d8019e5e4eac68a8c82c3550089","cross_cats_sorted":["cs.AI","cs.CL"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CR","submitted_at":"2024-04-20T15:04:25Z","title_canon_sha256":"a0acf6369c464031d7eeeab25d1786d4a74b50b76f2ef1ee9c7d032dffe34bdf"},"schema_version":"1.0","source":{"id":"2404.13402","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2404.13402","created_at":"2026-07-05T08:10:31Z"},{"alias_kind":"arxiv_version","alias_value":"2404.13402v1","created_at":"2026-07-05T08:10:31Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2404.13402","created_at":"2026-07-05T08:10:31Z"},{"alias_kind":"pith_short_12","alias_value":"72PDNZ766UJH","created_at":"2026-07-05T08:10:31Z"},{"alias_kind":"pith_short_16","alias_value":"72PDNZ766UJHTY4I","created_at":"2026-07-05T08:10:31Z"},{"alias_kind":"pith_short_8","alias_value":"72PDNZ76","created_at":"2026-07-05T08:10:31Z"}],"graph_snapshots":[{"event_id":"sha256:d9652e3a0fac6e38095a29cb311014f0e3da5a495d6dd396ec8e34169b362322","target":"graph","created_at":"2026-07-05T08:10:31Z","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/2404.13402/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Intrusion detection is a long standing and crucial problem in security. A system capable of detecting intrusions automatically is on great demand in enterprise security solutions. Existing solutions rely heavily on hand-crafted rules designed by security operators, which suffer from high false negative rates and poor generalization ability to new, zero-day attacks at scale. AI and machine learning offer promising solutions to address the issues, by inspecting abnormal user behaviors intelligently and automatically from data. However, existing learning-based intrusion detection systems in the l","authors_text":"Hao Chen, Jiongliang Lin, Yiwen Guo","cross_cats":["cs.AI","cs.CL"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CR","submitted_at":"2024-04-20T15:04:25Z","title":"Intrusion Detection at Scale with the Assistance of a Command-line Language Model"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2404.13402","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:a05e5ccac5474745272b134b832695a6b1391fa3b8e205b58ebf4363c2d95896","target":"record","created_at":"2026-07-05T08:10:31Z","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":"9d468a0f99d319f4fc20715bfc57167cf1422d8019e5e4eac68a8c82c3550089","cross_cats_sorted":["cs.AI","cs.CL"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CR","submitted_at":"2024-04-20T15:04:25Z","title_canon_sha256":"a0acf6369c464031d7eeeab25d1786d4a74b50b76f2ef1ee9c7d032dffe34bdf"},"schema_version":"1.0","source":{"id":"2404.13402","kind":"arxiv","version":1}},"canonical_sha256":"fe9e36e7fef51279e388308ccc7fae3002eda04909938e355303d2701d25f039","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"fe9e36e7fef51279e388308ccc7fae3002eda04909938e355303d2701d25f039","first_computed_at":"2026-07-05T08:10:31.596458Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:10:31.596458Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"y2UOBz//c1CtHpRIthwZrlf0TncqO4SXnSL6mGkb6yLOQ4hva5tm1gP5xvutR1glenZz9g18MYSowA87XhxOBQ==","signature_status":"signed_v1","signed_at":"2026-07-05T08:10:31.596967Z","signed_message":"canonical_sha256_bytes"},"source_id":"2404.13402","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:a05e5ccac5474745272b134b832695a6b1391fa3b8e205b58ebf4363c2d95896","sha256:d9652e3a0fac6e38095a29cb311014f0e3da5a495d6dd396ec8e34169b362322"],"state_sha256":"7c58ec3e0c562245b7bcb1d5f1b5402ddde11209c7feb91f7756a821934d4800"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ATnM52e9yW4HPKOX/fMWMtBeBjvjcrthWM/wG+w8jqE55uNUHpgnIqrbPkM6w215AsI1LlUb/1r4EZSJydsoCA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-13T09:20:11.721383Z","bundle_sha256":"082f50e94e934b5e2230831f6e3d728c3aba3f46c773e4f0dbc96f56d54ec7e3"}}