{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2021:UQTFHPPFLS2UPTGXT6OLLVDOXL","short_pith_number":"pith:UQTFHPPF","canonical_record":{"source":{"id":"2103.06915","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2021-03-11T19:26:34Z","cross_cats_sorted":["cs.SE"],"title_canon_sha256":"65bd2b31c4606c9db5991e22b9b7f4fead16d39f41a189cfffe468d243f21ba2","abstract_canon_sha256":"c45c731a8986b1c8d25c88c7470ad9553d97dc784ed51c2219dc9fed01270a60"},"schema_version":"1.0"},"canonical_sha256":"a42653bde55cb547ccd79f9cb5d46ebaf79aaa83395da868a54ecd7873d6601d","source":{"kind":"arxiv","id":"2103.06915","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2103.06915","created_at":"2026-07-05T02:22:26Z"},{"alias_kind":"arxiv_version","alias_value":"2103.06915v1","created_at":"2026-07-05T02:22:26Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2103.06915","created_at":"2026-07-05T02:22:26Z"},{"alias_kind":"pith_short_12","alias_value":"UQTFHPPFLS2U","created_at":"2026-07-05T02:22:26Z"},{"alias_kind":"pith_short_16","alias_value":"UQTFHPPFLS2UPTGX","created_at":"2026-07-05T02:22:26Z"},{"alias_kind":"pith_short_8","alias_value":"UQTFHPPF","created_at":"2026-07-05T02:22:26Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2021:UQTFHPPFLS2UPTGXT6OLLVDOXL","target":"record","payload":{"canonical_record":{"source":{"id":"2103.06915","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2021-03-11T19:26:34Z","cross_cats_sorted":["cs.SE"],"title_canon_sha256":"65bd2b31c4606c9db5991e22b9b7f4fead16d39f41a189cfffe468d243f21ba2","abstract_canon_sha256":"c45c731a8986b1c8d25c88c7470ad9553d97dc784ed51c2219dc9fed01270a60"},"schema_version":"1.0"},"canonical_sha256":"a42653bde55cb547ccd79f9cb5d46ebaf79aaa83395da868a54ecd7873d6601d","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T02:22:26.631045Z","signature_b64":"4rYKT5QBDj+0HrdijXEjIiZHak5gGAJUvyWKBlt9FnZ1DkOcG6Abvc80VYxtOkQpcTjZnkLRLp29vD0T88hnDA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"a42653bde55cb547ccd79f9cb5d46ebaf79aaa83395da868a54ecd7873d6601d","last_reissued_at":"2026-07-05T02:22:26.630571Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T02:22:26.630571Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2103.06915","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":"2026-07-05T02:22:26Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"6wLlLflc7GnVU33iUwe9VJ8RqkaCj8MHdmkezjUkASZ5ZRPmrLR5c4f8IUURkUu16r7mO07pavmjfQ3u/leeAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-24T04:08:39.586442Z"},"content_sha256":"eed293fa2516b73a4fcfaa40dee424e3b1a1d14cb1d65481f9acf1ea46fc60fe","schema_version":"1.0","event_id":"sha256:eed293fa2516b73a4fcfaa40dee424e3b1a1d14cb1d65481f9acf1ea46fc60fe"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2021:UQTFHPPFLS2UPTGXT6OLLVDOXL","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"On Improving Deep Learning Trace Analysis with System Call Arguments","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.SE"],"primary_cat":"cs.LG","authors_text":"Daniel Aloise, Fran\\c{c}ois Tetreault, Quentin Fournier, Seyed Vahid Azhari","submitted_at":"2021-03-11T19:26:34Z","abstract_excerpt":"Kernel traces are sequences of low-level events comprising a name and multiple arguments, including a timestamp, a process id, and a return value, depending on the event. Their analysis helps uncover intrusions, identify bugs, and find latency causes. However, their effectiveness is hindered by omitting the event arguments. To remedy this limitation, we introduce a general approach to learning a representation of the event names along with their arguments using both embedding and encoding. The proposed method is readily applicable to most neural networks and is task-agnostic. The benefit is qu"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2103.06915","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/2103.06915/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":"2026-07-05T02:22:26Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"zntjw+ZkYf9L1GZZIezWj6OlO8XPO+k7sW63lgFmbtws4FDDGZ2lwhdhaX7eAVBh8woQAg0XpZw+Oq2P4eAdCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-24T04:08:39.586829Z"},"content_sha256":"9898c40a311e3cea7f36eed288ae698502aef9cb0ad968152c324b4d0c17de8c","schema_version":"1.0","event_id":"sha256:9898c40a311e3cea7f36eed288ae698502aef9cb0ad968152c324b4d0c17de8c"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/UQTFHPPFLS2UPTGXT6OLLVDOXL/bundle.json","state_url":"https://pith.science/pith/UQTFHPPFLS2UPTGXT6OLLVDOXL/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/UQTFHPPFLS2UPTGXT6OLLVDOXL/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":"2026-07-24T04:08:39Z","links":{"resolver":"https://pith.science/pith/UQTFHPPFLS2UPTGXT6OLLVDOXL","bundle":"https://pith.science/pith/UQTFHPPFLS2UPTGXT6OLLVDOXL/bundle.json","state":"https://pith.science/pith/UQTFHPPFLS2UPTGXT6OLLVDOXL/state.json","well_known_bundle":"https://pith.science/.well-known/pith/UQTFHPPFLS2UPTGXT6OLLVDOXL/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:UQTFHPPFLS2UPTGXT6OLLVDOXL","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":"c45c731a8986b1c8d25c88c7470ad9553d97dc784ed51c2219dc9fed01270a60","cross_cats_sorted":["cs.SE"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2021-03-11T19:26:34Z","title_canon_sha256":"65bd2b31c4606c9db5991e22b9b7f4fead16d39f41a189cfffe468d243f21ba2"},"schema_version":"1.0","source":{"id":"2103.06915","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2103.06915","created_at":"2026-07-05T02:22:26Z"},{"alias_kind":"arxiv_version","alias_value":"2103.06915v1","created_at":"2026-07-05T02:22:26Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2103.06915","created_at":"2026-07-05T02:22:26Z"},{"alias_kind":"pith_short_12","alias_value":"UQTFHPPFLS2U","created_at":"2026-07-05T02:22:26Z"},{"alias_kind":"pith_short_16","alias_value":"UQTFHPPFLS2UPTGX","created_at":"2026-07-05T02:22:26Z"},{"alias_kind":"pith_short_8","alias_value":"UQTFHPPF","created_at":"2026-07-05T02:22:26Z"}],"graph_snapshots":[{"event_id":"sha256:9898c40a311e3cea7f36eed288ae698502aef9cb0ad968152c324b4d0c17de8c","target":"graph","created_at":"2026-07-05T02:22:26Z","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/2103.06915/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Kernel traces are sequences of low-level events comprising a name and multiple arguments, including a timestamp, a process id, and a return value, depending on the event. Their analysis helps uncover intrusions, identify bugs, and find latency causes. However, their effectiveness is hindered by omitting the event arguments. To remedy this limitation, we introduce a general approach to learning a representation of the event names along with their arguments using both embedding and encoding. The proposed method is readily applicable to most neural networks and is task-agnostic. The benefit is qu","authors_text":"Daniel Aloise, Fran\\c{c}ois Tetreault, Quentin Fournier, Seyed Vahid Azhari","cross_cats":["cs.SE"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2021-03-11T19:26:34Z","title":"On Improving Deep Learning Trace Analysis with System Call Arguments"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2103.06915","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:eed293fa2516b73a4fcfaa40dee424e3b1a1d14cb1d65481f9acf1ea46fc60fe","target":"record","created_at":"2026-07-05T02:22:26Z","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":"c45c731a8986b1c8d25c88c7470ad9553d97dc784ed51c2219dc9fed01270a60","cross_cats_sorted":["cs.SE"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2021-03-11T19:26:34Z","title_canon_sha256":"65bd2b31c4606c9db5991e22b9b7f4fead16d39f41a189cfffe468d243f21ba2"},"schema_version":"1.0","source":{"id":"2103.06915","kind":"arxiv","version":1}},"canonical_sha256":"a42653bde55cb547ccd79f9cb5d46ebaf79aaa83395da868a54ecd7873d6601d","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"a42653bde55cb547ccd79f9cb5d46ebaf79aaa83395da868a54ecd7873d6601d","first_computed_at":"2026-07-05T02:22:26.630571Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T02:22:26.630571Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"4rYKT5QBDj+0HrdijXEjIiZHak5gGAJUvyWKBlt9FnZ1DkOcG6Abvc80VYxtOkQpcTjZnkLRLp29vD0T88hnDA==","signature_status":"signed_v1","signed_at":"2026-07-05T02:22:26.631045Z","signed_message":"canonical_sha256_bytes"},"source_id":"2103.06915","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:eed293fa2516b73a4fcfaa40dee424e3b1a1d14cb1d65481f9acf1ea46fc60fe","sha256:9898c40a311e3cea7f36eed288ae698502aef9cb0ad968152c324b4d0c17de8c"],"state_sha256":"6574647a2242524a31ff4adf124b04d33403d3835a11f04125d610f130b52886"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"V3S0871Ms5w4ZxW4Ob/HnP3UefJxj5t6q17HLnwm5rakxddt6CU+0ouQWNYqGYGvl35ylmc+yCmHe83/LYsPBA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-24T04:08:39.589362Z","bundle_sha256":"984fc0259a5a4f034c4b746f96c36d2fdcfb28be0f31e4ee9c1d8c94785c305c"}}