{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:HTSNSZFH4H2BS4ECM63D2U4ZX7","short_pith_number":"pith:HTSNSZFH","canonical_record":{"source":{"id":"2505.08006","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CR","submitted_at":"2025-05-12T19:14:31Z","cross_cats_sorted":[],"title_canon_sha256":"aa73eebf512ec02e10eb3b5932ec5de29989b74d3fd8346f34f2f47b8552d98a","abstract_canon_sha256":"eeeae765c767b753d77212f7cc44d30ea8d4ecaecc4d39b5473b4457a83e6b39"},"schema_version":"1.0"},"canonical_sha256":"3ce4d964a7e1f419708267b63d5399bfdc08b8a86ebede034334945227229581","source":{"kind":"arxiv","id":"2505.08006","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2505.08006","created_at":"2026-07-05T11:02:01Z"},{"alias_kind":"arxiv_version","alias_value":"2505.08006v1","created_at":"2026-07-05T11:02:01Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2505.08006","created_at":"2026-07-05T11:02:01Z"},{"alias_kind":"pith_short_12","alias_value":"HTSNSZFH4H2B","created_at":"2026-07-05T11:02:01Z"},{"alias_kind":"pith_short_16","alias_value":"HTSNSZFH4H2BS4EC","created_at":"2026-07-05T11:02:01Z"},{"alias_kind":"pith_short_8","alias_value":"HTSNSZFH","created_at":"2026-07-05T11:02:01Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:HTSNSZFH4H2BS4ECM63D2U4ZX7","target":"record","payload":{"canonical_record":{"source":{"id":"2505.08006","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CR","submitted_at":"2025-05-12T19:14:31Z","cross_cats_sorted":[],"title_canon_sha256":"aa73eebf512ec02e10eb3b5932ec5de29989b74d3fd8346f34f2f47b8552d98a","abstract_canon_sha256":"eeeae765c767b753d77212f7cc44d30ea8d4ecaecc4d39b5473b4457a83e6b39"},"schema_version":"1.0"},"canonical_sha256":"3ce4d964a7e1f419708267b63d5399bfdc08b8a86ebede034334945227229581","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:02:01.203908Z","signature_b64":"ZvBnPUmceh98mQO8vwzNsdAP29Nr/HpsdlnJxGETQVSm+lTqPuuoJdaphcBW6rylr3gzGyq5jVqwA+hDPwqnBw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"3ce4d964a7e1f419708267b63d5399bfdc08b8a86ebede034334945227229581","last_reissued_at":"2026-07-05T11:02:01.203327Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:02:01.203327Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2505.08006","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":"2026-07-05T11:02:01Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"rS7Jbzloj1S0F8fmgOnzrnXH8lhQgV56jsi1icwb4RDfxKYZhhJ8XIARjNd/JUIoAEs3dQXNrRpz2mReYCyrCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-22T20:48:19.190797Z"},"content_sha256":"29e6098de7deaec182f93155d1a5a2f210e487cd5217102dc4bbe39daf2f1706","schema_version":"1.0","event_id":"sha256:29e6098de7deaec182f93155d1a5a2f210e487cd5217102dc4bbe39daf2f1706"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:HTSNSZFH4H2BS4ECM63D2U4ZX7","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Evaluating Explanation Quality in X-IDS Using Feature Alignment Metrics","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CR","authors_text":"BooJoong Kang, Erisa Karafili, Mohammed Alquliti","submitted_at":"2025-05-12T19:14:31Z","abstract_excerpt":"Explainable artificial intelligence (XAI) methods have become increasingly important in the context of explainable intrusion detection systems (X-IDSs) for improving the interpretability and trustworthiness of X-IDSs. However, existing evaluation approaches for XAI focus on model-specific properties such as fidelity and simplicity, and neglect whether the explanation content is meaningful or useful within the application domain. In this paper, we introduce new evaluation metrics measuring the quality of explanations from X-IDSs. The metrics aim at quantifying how well explanations are aligned "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2505.08006","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/2505.08006/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":"2026-07-05T11:02:01Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Qz6urcPeRm4C6+VP810N2CUSLB/Ad0dVGAllm9AbxqMG1UuSBF6PJpscg50lwh2QmGc86m5esljZmqGXA4pUBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-22T20:48:19.191298Z"},"content_sha256":"1f5591ea3a4b63e829e2f2df5725b36b1194ac2fbd3762aaa5a7a73bdaec45c3","schema_version":"1.0","event_id":"sha256:1f5591ea3a4b63e829e2f2df5725b36b1194ac2fbd3762aaa5a7a73bdaec45c3"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/HTSNSZFH4H2BS4ECM63D2U4ZX7/bundle.json","state_url":"https://pith.science/pith/HTSNSZFH4H2BS4ECM63D2U4ZX7/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/HTSNSZFH4H2BS4ECM63D2U4ZX7/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":"2026-08-22T20:48:19Z","links":{"resolver":"https://pith.science/pith/HTSNSZFH4H2BS4ECM63D2U4ZX7","bundle":"https://pith.science/pith/HTSNSZFH4H2BS4ECM63D2U4ZX7/bundle.json","state":"https://pith.science/pith/HTSNSZFH4H2BS4ECM63D2U4ZX7/state.json","well_known_bundle":"https://pith.science/.well-known/pith/HTSNSZFH4H2BS4ECM63D2U4ZX7/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:HTSNSZFH4H2BS4ECM63D2U4ZX7","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":"eeeae765c767b753d77212f7cc44d30ea8d4ecaecc4d39b5473b4457a83e6b39","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CR","submitted_at":"2025-05-12T19:14:31Z","title_canon_sha256":"aa73eebf512ec02e10eb3b5932ec5de29989b74d3fd8346f34f2f47b8552d98a"},"schema_version":"1.0","source":{"id":"2505.08006","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2505.08006","created_at":"2026-07-05T11:02:01Z"},{"alias_kind":"arxiv_version","alias_value":"2505.08006v1","created_at":"2026-07-05T11:02:01Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2505.08006","created_at":"2026-07-05T11:02:01Z"},{"alias_kind":"pith_short_12","alias_value":"HTSNSZFH4H2B","created_at":"2026-07-05T11:02:01Z"},{"alias_kind":"pith_short_16","alias_value":"HTSNSZFH4H2BS4EC","created_at":"2026-07-05T11:02:01Z"},{"alias_kind":"pith_short_8","alias_value":"HTSNSZFH","created_at":"2026-07-05T11:02:01Z"}],"graph_snapshots":[{"event_id":"sha256:1f5591ea3a4b63e829e2f2df5725b36b1194ac2fbd3762aaa5a7a73bdaec45c3","target":"graph","created_at":"2026-07-05T11:02:01Z","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/2505.08006/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Explainable artificial intelligence (XAI) methods have become increasingly important in the context of explainable intrusion detection systems (X-IDSs) for improving the interpretability and trustworthiness of X-IDSs. However, existing evaluation approaches for XAI focus on model-specific properties such as fidelity and simplicity, and neglect whether the explanation content is meaningful or useful within the application domain. In this paper, we introduce new evaluation metrics measuring the quality of explanations from X-IDSs. The metrics aim at quantifying how well explanations are aligned ","authors_text":"BooJoong Kang, Erisa Karafili, Mohammed Alquliti","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CR","submitted_at":"2025-05-12T19:14:31Z","title":"Evaluating Explanation Quality in X-IDS Using Feature Alignment Metrics"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2505.08006","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":"sha256:29e6098de7deaec182f93155d1a5a2f210e487cd5217102dc4bbe39daf2f1706","target":"record","created_at":"2026-07-05T11:02:01Z","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":"eeeae765c767b753d77212f7cc44d30ea8d4ecaecc4d39b5473b4457a83e6b39","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CR","submitted_at":"2025-05-12T19:14:31Z","title_canon_sha256":"aa73eebf512ec02e10eb3b5932ec5de29989b74d3fd8346f34f2f47b8552d98a"},"schema_version":"1.0","source":{"id":"2505.08006","kind":"arxiv","version":1}},"canonical_sha256":"3ce4d964a7e1f419708267b63d5399bfdc08b8a86ebede034334945227229581","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"3ce4d964a7e1f419708267b63d5399bfdc08b8a86ebede034334945227229581","first_computed_at":"2026-07-05T11:02:01.203327Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:02:01.203327Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"ZvBnPUmceh98mQO8vwzNsdAP29Nr/HpsdlnJxGETQVSm+lTqPuuoJdaphcBW6rylr3gzGyq5jVqwA+hDPwqnBw==","signature_status":"signed_v1","signed_at":"2026-07-05T11:02:01.203908Z","signed_message":"canonical_sha256_bytes"},"source_id":"2505.08006","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:29e6098de7deaec182f93155d1a5a2f210e487cd5217102dc4bbe39daf2f1706","sha256:1f5591ea3a4b63e829e2f2df5725b36b1194ac2fbd3762aaa5a7a73bdaec45c3"],"state_sha256":"1cd5cbb868fd0df2117840fd3e9a334c1df164f4ee1f6705723b6ffa2ab87dcc"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"C0VR5lX8N+ZLfpfLBndTjXqnY1LHputzUeR3QbcOvyOEt0NzYeOhWURPXwfy3QjKcWFCAGrCa/0CoF/j066vCQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-22T20:48:19.196828Z","bundle_sha256":"66d8dfa5e35606fc94e77e9954f4c52d5678e34ed69619d2c7622c73f343361c"}}