{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:T6JR6X5KGH7NUGQDU2TH422DKR","short_pith_number":"pith:T6JR6X5K","canonical_record":{"source":{"id":"2506.05138","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2025-06-05T15:22:04Z","cross_cats_sorted":["cs.DC"],"title_canon_sha256":"0b244a628ad161714dcbd97f899fae58478b42e64c31b0a614bcc15733865c19","abstract_canon_sha256":"9e6596bcd8fcfadbd9fae06598b8677088d321ae746db6f23cf7fa8d5140bb90"},"schema_version":"1.0"},"canonical_sha256":"9f931f5faa31feda1a03a6a67e6b43544e21a8cd025d3a6fdce0db427c535b67","source":{"kind":"arxiv","id":"2506.05138","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2506.05138","created_at":"2026-07-05T12:04:35Z"},{"alias_kind":"arxiv_version","alias_value":"2506.05138v2","created_at":"2026-07-05T12:04:35Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.05138","created_at":"2026-07-05T12:04:35Z"},{"alias_kind":"pith_short_12","alias_value":"T6JR6X5KGH7N","created_at":"2026-07-05T12:04:35Z"},{"alias_kind":"pith_short_16","alias_value":"T6JR6X5KGH7NUGQD","created_at":"2026-07-05T12:04:35Z"},{"alias_kind":"pith_short_8","alias_value":"T6JR6X5K","created_at":"2026-07-05T12:04:35Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:T6JR6X5KGH7NUGQDU2TH422DKR","target":"record","payload":{"canonical_record":{"source":{"id":"2506.05138","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2025-06-05T15:22:04Z","cross_cats_sorted":["cs.DC"],"title_canon_sha256":"0b244a628ad161714dcbd97f899fae58478b42e64c31b0a614bcc15733865c19","abstract_canon_sha256":"9e6596bcd8fcfadbd9fae06598b8677088d321ae746db6f23cf7fa8d5140bb90"},"schema_version":"1.0"},"canonical_sha256":"9f931f5faa31feda1a03a6a67e6b43544e21a8cd025d3a6fdce0db427c535b67","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T12:04:35.714684Z","signature_b64":"daI91goWwD2t05+Tvroivt8r1Bch6Hqvx1OSKVEPtahjtJJ89RIsBgzkPd0FCZd2ebqb2QTc8sVSFktEokDoCQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"9f931f5faa31feda1a03a6a67e6b43544e21a8cd025d3a6fdce0db427c535b67","last_reissued_at":"2026-07-05T12:04:35.714201Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T12:04:35.714201Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2506.05138","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T12:04:35Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"xKP6vPvpN549ObMAsBrpPQC7YXjQHr4RotRYFQQT2aQRMX1GKLzSnxPHzuDYsfbVSxkO38wVaosyH/OzH4BiDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-10T06:50:34.458596Z"},"content_sha256":"327288f9bd1504f968c1067b4ea801f6a8119be231827cf55b51d0de02f2550f","schema_version":"1.0","event_id":"sha256:327288f9bd1504f968c1067b4ea801f6a8119be231827cf55b51d0de02f2550f"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:T6JR6X5KGH7NUGQDU2TH422DKR","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Federated Isolation Forest for Efficient Anomaly Detection on Edge IoT Systems","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.DC"],"primary_cat":"cs.LG","authors_text":"Milica Matic, Miroslav Popovic, Pavle Vasiljevic","submitted_at":"2025-06-05T15:22:04Z","abstract_excerpt":"Recently, federated learning frameworks such as Python TestBed for Federated Learning Algorithms and MicroPython TestBed for Federated Learning Algorithms have emerged to tackle user privacy concerns and efficiency in embedded systems. Even more recently, an efficient federated anomaly detection algorithm, FLiForest, based on Isolation Forests has been developed, offering a low-resource, unsupervised method well-suited for edge deployment and continuous learning. In this paper, we present an application of Isolation Forest-based temperature anomaly detection, developed using the previously men"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.05138","kind":"arxiv","version":2},"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/2506.05138/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":"2026-07-05T12:04:35Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"0zgIHwjVTEV8VeWJJy8PWO7Hixhdg2uU8u1SCxOP9HHs6sTz/OEHWbR+iKPVxx1L/z8O92HqTIuO2SILQUCsAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-10T06:50:34.459466Z"},"content_sha256":"be0bfe784cebc011e0d5d6fbd9aa0c3bd73c01264912d3a4f35c9f9e955785a2","schema_version":"1.0","event_id":"sha256:be0bfe784cebc011e0d5d6fbd9aa0c3bd73c01264912d3a4f35c9f9e955785a2"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/T6JR6X5KGH7NUGQDU2TH422DKR/bundle.json","state_url":"https://pith.science/pith/T6JR6X5KGH7NUGQDU2TH422DKR/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/T6JR6X5KGH7NUGQDU2TH422DKR/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":"2026-08-10T06:50:34Z","links":{"resolver":"https://pith.science/pith/T6JR6X5KGH7NUGQDU2TH422DKR","bundle":"https://pith.science/pith/T6JR6X5KGH7NUGQDU2TH422DKR/bundle.json","state":"https://pith.science/pith/T6JR6X5KGH7NUGQDU2TH422DKR/state.json","well_known_bundle":"https://pith.science/.well-known/pith/T6JR6X5KGH7NUGQDU2TH422DKR/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:T6JR6X5KGH7NUGQDU2TH422DKR","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":"9e6596bcd8fcfadbd9fae06598b8677088d321ae746db6f23cf7fa8d5140bb90","cross_cats_sorted":["cs.DC"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2025-06-05T15:22:04Z","title_canon_sha256":"0b244a628ad161714dcbd97f899fae58478b42e64c31b0a614bcc15733865c19"},"schema_version":"1.0","source":{"id":"2506.05138","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2506.05138","created_at":"2026-07-05T12:04:35Z"},{"alias_kind":"arxiv_version","alias_value":"2506.05138v2","created_at":"2026-07-05T12:04:35Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.05138","created_at":"2026-07-05T12:04:35Z"},{"alias_kind":"pith_short_12","alias_value":"T6JR6X5KGH7N","created_at":"2026-07-05T12:04:35Z"},{"alias_kind":"pith_short_16","alias_value":"T6JR6X5KGH7NUGQD","created_at":"2026-07-05T12:04:35Z"},{"alias_kind":"pith_short_8","alias_value":"T6JR6X5K","created_at":"2026-07-05T12:04:35Z"}],"graph_snapshots":[{"event_id":"sha256:be0bfe784cebc011e0d5d6fbd9aa0c3bd73c01264912d3a4f35c9f9e955785a2","target":"graph","created_at":"2026-07-05T12:04:35Z","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/2506.05138/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Recently, federated learning frameworks such as Python TestBed for Federated Learning Algorithms and MicroPython TestBed for Federated Learning Algorithms have emerged to tackle user privacy concerns and efficiency in embedded systems. Even more recently, an efficient federated anomaly detection algorithm, FLiForest, based on Isolation Forests has been developed, offering a low-resource, unsupervised method well-suited for edge deployment and continuous learning. In this paper, we present an application of Isolation Forest-based temperature anomaly detection, developed using the previously men","authors_text":"Milica Matic, Miroslav Popovic, Pavle Vasiljevic","cross_cats":["cs.DC"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2025-06-05T15:22:04Z","title":"Federated Isolation Forest for Efficient Anomaly Detection on Edge IoT Systems"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.05138","kind":"arxiv","version":2},"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":"sha256:327288f9bd1504f968c1067b4ea801f6a8119be231827cf55b51d0de02f2550f","target":"record","created_at":"2026-07-05T12:04:35Z","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":"9e6596bcd8fcfadbd9fae06598b8677088d321ae746db6f23cf7fa8d5140bb90","cross_cats_sorted":["cs.DC"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2025-06-05T15:22:04Z","title_canon_sha256":"0b244a628ad161714dcbd97f899fae58478b42e64c31b0a614bcc15733865c19"},"schema_version":"1.0","source":{"id":"2506.05138","kind":"arxiv","version":2}},"canonical_sha256":"9f931f5faa31feda1a03a6a67e6b43544e21a8cd025d3a6fdce0db427c535b67","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"9f931f5faa31feda1a03a6a67e6b43544e21a8cd025d3a6fdce0db427c535b67","first_computed_at":"2026-07-05T12:04:35.714201Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T12:04:35.714201Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"daI91goWwD2t05+Tvroivt8r1Bch6Hqvx1OSKVEPtahjtJJ89RIsBgzkPd0FCZd2ebqb2QTc8sVSFktEokDoCQ==","signature_status":"signed_v1","signed_at":"2026-07-05T12:04:35.714684Z","signed_message":"canonical_sha256_bytes"},"source_id":"2506.05138","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:327288f9bd1504f968c1067b4ea801f6a8119be231827cf55b51d0de02f2550f","sha256:be0bfe784cebc011e0d5d6fbd9aa0c3bd73c01264912d3a4f35c9f9e955785a2"],"state_sha256":"fb0b0f84b8ee12e5a3be6abb42db4f3e6bdf64c5d94739021837797af719a53d"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"fFgSc3YvbyHI6mwebKNX1llJcTfCNfLFdOJvGheynK5X7gyH+OBhPYzUGy4noPUTqR69R+ezJYtJatSTm7FcAg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-10T06:50:34.466984Z","bundle_sha256":"d3d3a331655b7e2096b23c025b1ecd3cc600b75cd8ab94a4973f1f5612f508fd"}}