{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2022:HKZXRGHKMTL6WGGDKX4QX3CAUI","short_pith_number":"pith:HKZXRGHK","canonical_record":{"source":{"id":"2205.07411","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CR","submitted_at":"2022-05-16T01:10:55Z","cross_cats_sorted":[],"title_canon_sha256":"7755020d6ea24bba8d0446d7b28ede4e9e591cbca3fa3f1ff509e531853897ac","abstract_canon_sha256":"0b98fcfac6ecccbd2b7ddc09ae2404c1602ee43d4f31655e022500301bfa0a0d"},"schema_version":"1.0"},"canonical_sha256":"3ab37898ea64d7eb18c355f90bec40a2336f8b7521f6daf6353f925d5346de4d","source":{"kind":"arxiv","id":"2205.07411","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2205.07411","created_at":"2026-07-05T04:23:28Z"},{"alias_kind":"arxiv_version","alias_value":"2205.07411v1","created_at":"2026-07-05T04:23:28Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2205.07411","created_at":"2026-07-05T04:23:28Z"},{"alias_kind":"pith_short_12","alias_value":"HKZXRGHKMTL6","created_at":"2026-07-05T04:23:28Z"},{"alias_kind":"pith_short_16","alias_value":"HKZXRGHKMTL6WGGD","created_at":"2026-07-05T04:23:28Z"},{"alias_kind":"pith_short_8","alias_value":"HKZXRGHK","created_at":"2026-07-05T04:23:28Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2022:HKZXRGHKMTL6WGGDKX4QX3CAUI","target":"record","payload":{"canonical_record":{"source":{"id":"2205.07411","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CR","submitted_at":"2022-05-16T01:10:55Z","cross_cats_sorted":[],"title_canon_sha256":"7755020d6ea24bba8d0446d7b28ede4e9e591cbca3fa3f1ff509e531853897ac","abstract_canon_sha256":"0b98fcfac6ecccbd2b7ddc09ae2404c1602ee43d4f31655e022500301bfa0a0d"},"schema_version":"1.0"},"canonical_sha256":"3ab37898ea64d7eb18c355f90bec40a2336f8b7521f6daf6353f925d5346de4d","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T04:23:28.759064Z","signature_b64":"RCivdyqqkj9SWs3W8fxYbbvqr4w3XhnorjOF49SmQAJs/FEYF59sVwfZ0nrt1wrWbUpzYBuQu4q54WXnR2tXBw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"3ab37898ea64d7eb18c355f90bec40a2336f8b7521f6daf6353f925d5346de4d","last_reissued_at":"2026-07-05T04:23:28.758623Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T04:23:28.758623Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2205.07411","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":"2026-07-05T04:23:28Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Ulr6+g5LHpGjloOG+q8VVYT95VhZGmzg3N/qhm3rzos7gATTWYInknXoYHL+ZwNhU+Sgz/547p2iQknoW3nIDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-06T18:37:59.490898Z"},"content_sha256":"f2dad97bb87e378c7e6d240792ddb35d32f67b8c0c71680f0f2a370cfe4f4a58","schema_version":"1.0","event_id":"sha256:f2dad97bb87e378c7e6d240792ddb35d32f67b8c0c71680f0f2a370cfe4f4a58"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2022:HKZXRGHKMTL6WGGDKX4QX3CAUI","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Phishing Detection Leveraging Machine Learning and Deep Learning: A Review","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CR","authors_text":"Adam Oest, Dinil Mon Divakaran","submitted_at":"2022-05-16T01:10:55Z","abstract_excerpt":"Phishing attacks trick victims into disclosing sensitive information. To counter rapidly evolving attacks, we must explore machine learning and deep learning models leveraging large-scale data. We discuss models built on different kinds of data, along with their advantages and disadvantages, and present multiple deployment options to detect phishing attacks."},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2205.07411","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/2205.07411/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":"2026-07-05T04:23:28Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"4qnV3FuCr65zNKP4CXSwjC7C+/aLLVkmoLBfphx1RuEifElbwlxHZd6X+u0e3C/ONnr9Ae6s6udO22UwpwFODQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-06T18:37:59.493963Z"},"content_sha256":"4036eb3e4971c3b99443d9444763d6f28f2c4d7c7a6d728195d4f61d1cec063d","schema_version":"1.0","event_id":"sha256:4036eb3e4971c3b99443d9444763d6f28f2c4d7c7a6d728195d4f61d1cec063d"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/HKZXRGHKMTL6WGGDKX4QX3CAUI/bundle.json","state_url":"https://pith.science/pith/HKZXRGHKMTL6WGGDKX4QX3CAUI/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/HKZXRGHKMTL6WGGDKX4QX3CAUI/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":"2026-08-06T18:37:59Z","links":{"resolver":"https://pith.science/pith/HKZXRGHKMTL6WGGDKX4QX3CAUI","bundle":"https://pith.science/pith/HKZXRGHKMTL6WGGDKX4QX3CAUI/bundle.json","state":"https://pith.science/pith/HKZXRGHKMTL6WGGDKX4QX3CAUI/state.json","well_known_bundle":"https://pith.science/.well-known/pith/HKZXRGHKMTL6WGGDKX4QX3CAUI/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:HKZXRGHKMTL6WGGDKX4QX3CAUI","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":"0b98fcfac6ecccbd2b7ddc09ae2404c1602ee43d4f31655e022500301bfa0a0d","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CR","submitted_at":"2022-05-16T01:10:55Z","title_canon_sha256":"7755020d6ea24bba8d0446d7b28ede4e9e591cbca3fa3f1ff509e531853897ac"},"schema_version":"1.0","source":{"id":"2205.07411","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2205.07411","created_at":"2026-07-05T04:23:28Z"},{"alias_kind":"arxiv_version","alias_value":"2205.07411v1","created_at":"2026-07-05T04:23:28Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2205.07411","created_at":"2026-07-05T04:23:28Z"},{"alias_kind":"pith_short_12","alias_value":"HKZXRGHKMTL6","created_at":"2026-07-05T04:23:28Z"},{"alias_kind":"pith_short_16","alias_value":"HKZXRGHKMTL6WGGD","created_at":"2026-07-05T04:23:28Z"},{"alias_kind":"pith_short_8","alias_value":"HKZXRGHK","created_at":"2026-07-05T04:23:28Z"}],"graph_snapshots":[{"event_id":"sha256:4036eb3e4971c3b99443d9444763d6f28f2c4d7c7a6d728195d4f61d1cec063d","target":"graph","created_at":"2026-07-05T04:23:28Z","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/2205.07411/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Phishing attacks trick victims into disclosing sensitive information. To counter rapidly evolving attacks, we must explore machine learning and deep learning models leveraging large-scale data. We discuss models built on different kinds of data, along with their advantages and disadvantages, and present multiple deployment options to detect phishing attacks.","authors_text":"Adam Oest, Dinil Mon Divakaran","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CR","submitted_at":"2022-05-16T01:10:55Z","title":"Phishing Detection Leveraging Machine Learning and Deep Learning: A Review"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2205.07411","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:f2dad97bb87e378c7e6d240792ddb35d32f67b8c0c71680f0f2a370cfe4f4a58","target":"record","created_at":"2026-07-05T04:23:28Z","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":"0b98fcfac6ecccbd2b7ddc09ae2404c1602ee43d4f31655e022500301bfa0a0d","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CR","submitted_at":"2022-05-16T01:10:55Z","title_canon_sha256":"7755020d6ea24bba8d0446d7b28ede4e9e591cbca3fa3f1ff509e531853897ac"},"schema_version":"1.0","source":{"id":"2205.07411","kind":"arxiv","version":1}},"canonical_sha256":"3ab37898ea64d7eb18c355f90bec40a2336f8b7521f6daf6353f925d5346de4d","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"3ab37898ea64d7eb18c355f90bec40a2336f8b7521f6daf6353f925d5346de4d","first_computed_at":"2026-07-05T04:23:28.758623Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T04:23:28.758623Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"RCivdyqqkj9SWs3W8fxYbbvqr4w3XhnorjOF49SmQAJs/FEYF59sVwfZ0nrt1wrWbUpzYBuQu4q54WXnR2tXBw==","signature_status":"signed_v1","signed_at":"2026-07-05T04:23:28.759064Z","signed_message":"canonical_sha256_bytes"},"source_id":"2205.07411","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:f2dad97bb87e378c7e6d240792ddb35d32f67b8c0c71680f0f2a370cfe4f4a58","sha256:4036eb3e4971c3b99443d9444763d6f28f2c4d7c7a6d728195d4f61d1cec063d"],"state_sha256":"9fab1671071a29e7f02e31cfde95c99041c5311802b0863463ad545016188787"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"MT2dNuFDeKTFPi0gDW88z0dHZuZ89o3xGxxMSdSHNke+W2H815R2s+HGh1M34ggNxomxHDGPHUoXpsl42fRtBw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-06T18:37:59.500805Z","bundle_sha256":"6d8d6b0e1b27443623e6cd584c0a9c08f9c88af04fffa99e34e50c923864342e"}}