{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:3M5K3HGDBR2EEDJGJSKX4HPC7O","short_pith_number":"pith:3M5K3HGD","canonical_record":{"source":{"id":"2404.06144","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/publicdomain/zero/1.0/","primary_cat":"cs.LG","submitted_at":"2024-04-09T09:09:36Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"41d887d1af2888eee89747e2af07c2923db57171229ca84dd4231da15f931480","abstract_canon_sha256":"1827a6437ce0014b8e6a90caa7a8925a6cb7d1d4d562dc50d270138530d69da0"},"schema_version":"1.0"},"canonical_sha256":"db3aad9cc30c74420d264c957e1de2fba34de486ed028ace39fbaf6ee1960732","source":{"kind":"arxiv","id":"2404.06144","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2404.06144","created_at":"2026-07-05T08:06:04Z"},{"alias_kind":"arxiv_version","alias_value":"2404.06144v1","created_at":"2026-07-05T08:06:04Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2404.06144","created_at":"2026-07-05T08:06:04Z"},{"alias_kind":"pith_short_12","alias_value":"3M5K3HGDBR2E","created_at":"2026-07-05T08:06:04Z"},{"alias_kind":"pith_short_16","alias_value":"3M5K3HGDBR2EEDJG","created_at":"2026-07-05T08:06:04Z"},{"alias_kind":"pith_short_8","alias_value":"3M5K3HGD","created_at":"2026-07-05T08:06:04Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:3M5K3HGDBR2EEDJGJSKX4HPC7O","target":"record","payload":{"canonical_record":{"source":{"id":"2404.06144","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/publicdomain/zero/1.0/","primary_cat":"cs.LG","submitted_at":"2024-04-09T09:09:36Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"41d887d1af2888eee89747e2af07c2923db57171229ca84dd4231da15f931480","abstract_canon_sha256":"1827a6437ce0014b8e6a90caa7a8925a6cb7d1d4d562dc50d270138530d69da0"},"schema_version":"1.0"},"canonical_sha256":"db3aad9cc30c74420d264c957e1de2fba34de486ed028ace39fbaf6ee1960732","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:06:04.822551Z","signature_b64":"PVtxRFforzMd6jQDImzTOM7noE04nRKJwmFoGjW8kCHNDKKSWwdjsVLiCpAiqpjp54cnpmm0pkAVcw11lOu6CA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"db3aad9cc30c74420d264c957e1de2fba34de486ed028ace39fbaf6ee1960732","last_reissued_at":"2026-07-05T08:06:04.822071Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:06:04.822071Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2404.06144","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":"2026-07-05T08:06:04Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"IR8BGv79F/xQrB9uL8a4UU13xx64iGOuSrbRYT5WrLdnNS+WFI8V5g+Fiuc8LJx+sc5Jkg8WnrvxE6UxGMB3Dg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-23T03:19:50.626754Z"},"content_sha256":"694843015a97ef923eeafa0d1e10c37abb076a98700ebba2e8c310ecf8d3f89d","schema_version":"1.0","event_id":"sha256:694843015a97ef923eeafa0d1e10c37abb076a98700ebba2e8c310ecf8d3f89d"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:3M5K3HGDBR2EEDJGJSKX4HPC7O","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Differential Privacy for Anomaly Detection: Analyzing the Trade-off Between Privacy and Explainability","license":"http://creativecommons.org/publicdomain/zero/1.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.LG","authors_text":"Davide Andreoletti, Fatima Ezzeddine, Ihab Sbeity, Marc Langheinrich, Martin Gjoreski, Mirna Saad, Omran Ayoub, Silvia Giordano","submitted_at":"2024-04-09T09:09:36Z","abstract_excerpt":"Anomaly detection (AD), also referred to as outlier detection, is a statistical process aimed at identifying observations within a dataset that significantly deviate from the expected pattern of the majority of the data. Such a process finds wide application in various fields, such as finance and healthcare. While the primary objective of AD is to yield high detection accuracy, the requirements of explainability and privacy are also paramount. The first ensures the transparency of the AD process, while the second guarantees that no sensitive information is leaked to untrusted parties. In this "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2404.06144","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/2404.06144/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":"2026-07-05T08:06:04Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"HkqWubAbctItl49wMGKDKxW0/V3vDIVutSYqAHSUfmnL/4BEld3UWiHX2jgDa+RYQB+45boOzh34f/Qsv/wtBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-23T03:19:50.627538Z"},"content_sha256":"c19d2401246f29a4300974f80cf346784169645f541dedf26cac7263d7e19b23","schema_version":"1.0","event_id":"sha256:c19d2401246f29a4300974f80cf346784169645f541dedf26cac7263d7e19b23"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/3M5K3HGDBR2EEDJGJSKX4HPC7O/bundle.json","state_url":"https://pith.science/pith/3M5K3HGDBR2EEDJGJSKX4HPC7O/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/3M5K3HGDBR2EEDJGJSKX4HPC7O/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":"2026-08-23T03:19:50Z","links":{"resolver":"https://pith.science/pith/3M5K3HGDBR2EEDJGJSKX4HPC7O","bundle":"https://pith.science/pith/3M5K3HGDBR2EEDJGJSKX4HPC7O/bundle.json","state":"https://pith.science/pith/3M5K3HGDBR2EEDJGJSKX4HPC7O/state.json","well_known_bundle":"https://pith.science/.well-known/pith/3M5K3HGDBR2EEDJGJSKX4HPC7O/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:3M5K3HGDBR2EEDJGJSKX4HPC7O","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":"1827a6437ce0014b8e6a90caa7a8925a6cb7d1d4d562dc50d270138530d69da0","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/publicdomain/zero/1.0/","primary_cat":"cs.LG","submitted_at":"2024-04-09T09:09:36Z","title_canon_sha256":"41d887d1af2888eee89747e2af07c2923db57171229ca84dd4231da15f931480"},"schema_version":"1.0","source":{"id":"2404.06144","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2404.06144","created_at":"2026-07-05T08:06:04Z"},{"alias_kind":"arxiv_version","alias_value":"2404.06144v1","created_at":"2026-07-05T08:06:04Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2404.06144","created_at":"2026-07-05T08:06:04Z"},{"alias_kind":"pith_short_12","alias_value":"3M5K3HGDBR2E","created_at":"2026-07-05T08:06:04Z"},{"alias_kind":"pith_short_16","alias_value":"3M5K3HGDBR2EEDJG","created_at":"2026-07-05T08:06:04Z"},{"alias_kind":"pith_short_8","alias_value":"3M5K3HGD","created_at":"2026-07-05T08:06:04Z"}],"graph_snapshots":[{"event_id":"sha256:c19d2401246f29a4300974f80cf346784169645f541dedf26cac7263d7e19b23","target":"graph","created_at":"2026-07-05T08:06:04Z","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/2404.06144/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Anomaly detection (AD), also referred to as outlier detection, is a statistical process aimed at identifying observations within a dataset that significantly deviate from the expected pattern of the majority of the data. Such a process finds wide application in various fields, such as finance and healthcare. While the primary objective of AD is to yield high detection accuracy, the requirements of explainability and privacy are also paramount. The first ensures the transparency of the AD process, while the second guarantees that no sensitive information is leaked to untrusted parties. In this ","authors_text":"Davide Andreoletti, Fatima Ezzeddine, Ihab Sbeity, Marc Langheinrich, Martin Gjoreski, Mirna Saad, Omran Ayoub, Silvia Giordano","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/publicdomain/zero/1.0/","primary_cat":"cs.LG","submitted_at":"2024-04-09T09:09:36Z","title":"Differential Privacy for Anomaly Detection: Analyzing the Trade-off Between Privacy and Explainability"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2404.06144","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":"sha256:694843015a97ef923eeafa0d1e10c37abb076a98700ebba2e8c310ecf8d3f89d","target":"record","created_at":"2026-07-05T08:06:04Z","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":"1827a6437ce0014b8e6a90caa7a8925a6cb7d1d4d562dc50d270138530d69da0","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/publicdomain/zero/1.0/","primary_cat":"cs.LG","submitted_at":"2024-04-09T09:09:36Z","title_canon_sha256":"41d887d1af2888eee89747e2af07c2923db57171229ca84dd4231da15f931480"},"schema_version":"1.0","source":{"id":"2404.06144","kind":"arxiv","version":1}},"canonical_sha256":"db3aad9cc30c74420d264c957e1de2fba34de486ed028ace39fbaf6ee1960732","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"db3aad9cc30c74420d264c957e1de2fba34de486ed028ace39fbaf6ee1960732","first_computed_at":"2026-07-05T08:06:04.822071Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:06:04.822071Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"PVtxRFforzMd6jQDImzTOM7noE04nRKJwmFoGjW8kCHNDKKSWwdjsVLiCpAiqpjp54cnpmm0pkAVcw11lOu6CA==","signature_status":"signed_v1","signed_at":"2026-07-05T08:06:04.822551Z","signed_message":"canonical_sha256_bytes"},"source_id":"2404.06144","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:694843015a97ef923eeafa0d1e10c37abb076a98700ebba2e8c310ecf8d3f89d","sha256:c19d2401246f29a4300974f80cf346784169645f541dedf26cac7263d7e19b23"],"state_sha256":"7f651b49e8fd24d5b39f14d8d1ff108272e6676bcf1f019ac047736d62dce4bf"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"y2wboeP0doWsY6tVfnMC5ViFUefTU1tE3tltj9LWiDMD3mNaeXr6/eBmbBngSpAxCXxWyOBT1CiVOcjgeBKZDA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-23T03:19:50.634226Z","bundle_sha256":"79801eabf569f388ef92a5f795742a20d2cdc38c273243cfc5084c24aefdb1ab"}}