{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:7YSDGOPU3Y2YHCZNEDP2UCNUWE","short_pith_number":"pith:7YSDGOPU","canonical_record":{"source":{"id":"2501.14694","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.LG","submitted_at":"2025-01-24T18:13:44Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"8ee6a5c2e5d4e2dba7d8de1c8f93f7e70baac553b4a2f8cc1bd711a844069c17","abstract_canon_sha256":"5dd44e7d2c2563a83e0336118b8c8937a12e3d31a6883f5c90903da0e5e5b305"},"schema_version":"1.0"},"canonical_sha256":"fe243339f4de35838b2d20dfaa09b4b10cd1ecb81033c3bd06f43299c784bb9f","source":{"kind":"arxiv","id":"2501.14694","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2501.14694","created_at":"2026-07-05T11:29:05Z"},{"alias_kind":"arxiv_version","alias_value":"2501.14694v2","created_at":"2026-07-05T11:29:05Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2501.14694","created_at":"2026-07-05T11:29:05Z"},{"alias_kind":"pith_short_12","alias_value":"7YSDGOPU3Y2Y","created_at":"2026-07-05T11:29:05Z"},{"alias_kind":"pith_short_16","alias_value":"7YSDGOPU3Y2YHCZN","created_at":"2026-07-05T11:29:05Z"},{"alias_kind":"pith_short_8","alias_value":"7YSDGOPU","created_at":"2026-07-05T11:29:05Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:7YSDGOPU3Y2YHCZNEDP2UCNUWE","target":"record","payload":{"canonical_record":{"source":{"id":"2501.14694","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.LG","submitted_at":"2025-01-24T18:13:44Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"8ee6a5c2e5d4e2dba7d8de1c8f93f7e70baac553b4a2f8cc1bd711a844069c17","abstract_canon_sha256":"5dd44e7d2c2563a83e0336118b8c8937a12e3d31a6883f5c90903da0e5e5b305"},"schema_version":"1.0"},"canonical_sha256":"fe243339f4de35838b2d20dfaa09b4b10cd1ecb81033c3bd06f43299c784bb9f","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:29:05.975875Z","signature_b64":"NHf4H7h6fEu+VP1tVCBz9XaiyB3FgL67f7YplmjkfVt8Ck8YVsKESZPEa8OTB0b5SWSbURml/47SKz0orqDqBw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"fe243339f4de35838b2d20dfaa09b4b10cd1ecb81033c3bd06f43299c784bb9f","last_reissued_at":"2026-07-05T11:29:05.975356Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:29:05.975356Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2501.14694","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":"2026-07-05T11:29:05Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ZFjJZTanjDvHNMphVIxsyEd7dFWdTJ2IFsvkpwOT+G8vWJzg8eZD13QACZuja3Sz4ckmSMdBxlklT3uk1MqTAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-06T14:11:20.017597Z"},"content_sha256":"555d00ac8430a396dc40d1eb4a5ee71474af269071e0b72ba479fc2c5905e4d9","schema_version":"1.0","event_id":"sha256:555d00ac8430a396dc40d1eb4a5ee71474af269071e0b72ba479fc2c5905e4d9"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:7YSDGOPU3Y2YHCZNEDP2UCNUWE","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Towards Automated Self-Supervised Learning for Truly Unsupervised Graph Anomaly Detection","license":"http://creativecommons.org/licenses/by-sa/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.LG","authors_text":"Matthijs van Leeuwen, Yuhang Wang, Zhong Li","submitted_at":"2025-01-24T18:13:44Z","abstract_excerpt":"Self-supervised learning (SSL) is an emerging paradigm that exploits supervisory signals generated from the data itself, and many recent studies have leveraged SSL to conduct graph anomaly detection. However, we empirically found that three important factors can substantially impact detection performance across datasets: 1) the specific SSL strategy employed; 2) the tuning of the strategy's hyperparameters; and 3) the allocation of combination weights when using multiple strategies. Most SSL-based graph anomaly detection methods circumvent these issues by arbitrarily or selectively (i.e., guid"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2501.14694","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/2501.14694/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":"2026-07-05T11:29:05Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"D2B2CM9DQXC42wpQgX3yoZWCEydtTcvuwfSKzDnB/nUQyQuyb36LuE1vFCPSPqzGtZ46YH8C+Nx8HcUz+DiQBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-06T14:11:20.018147Z"},"content_sha256":"cf23a59d359f32d9c268a8ed5525e4a9615647faaa8dc5dcda07b58bb859020d","schema_version":"1.0","event_id":"sha256:cf23a59d359f32d9c268a8ed5525e4a9615647faaa8dc5dcda07b58bb859020d"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/7YSDGOPU3Y2YHCZNEDP2UCNUWE/bundle.json","state_url":"https://pith.science/pith/7YSDGOPU3Y2YHCZNEDP2UCNUWE/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/7YSDGOPU3Y2YHCZNEDP2UCNUWE/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":"2026-08-06T14:11:20Z","links":{"resolver":"https://pith.science/pith/7YSDGOPU3Y2YHCZNEDP2UCNUWE","bundle":"https://pith.science/pith/7YSDGOPU3Y2YHCZNEDP2UCNUWE/bundle.json","state":"https://pith.science/pith/7YSDGOPU3Y2YHCZNEDP2UCNUWE/state.json","well_known_bundle":"https://pith.science/.well-known/pith/7YSDGOPU3Y2YHCZNEDP2UCNUWE/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:7YSDGOPU3Y2YHCZNEDP2UCNUWE","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":"5dd44e7d2c2563a83e0336118b8c8937a12e3d31a6883f5c90903da0e5e5b305","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.LG","submitted_at":"2025-01-24T18:13:44Z","title_canon_sha256":"8ee6a5c2e5d4e2dba7d8de1c8f93f7e70baac553b4a2f8cc1bd711a844069c17"},"schema_version":"1.0","source":{"id":"2501.14694","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2501.14694","created_at":"2026-07-05T11:29:05Z"},{"alias_kind":"arxiv_version","alias_value":"2501.14694v2","created_at":"2026-07-05T11:29:05Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2501.14694","created_at":"2026-07-05T11:29:05Z"},{"alias_kind":"pith_short_12","alias_value":"7YSDGOPU3Y2Y","created_at":"2026-07-05T11:29:05Z"},{"alias_kind":"pith_short_16","alias_value":"7YSDGOPU3Y2YHCZN","created_at":"2026-07-05T11:29:05Z"},{"alias_kind":"pith_short_8","alias_value":"7YSDGOPU","created_at":"2026-07-05T11:29:05Z"}],"graph_snapshots":[{"event_id":"sha256:cf23a59d359f32d9c268a8ed5525e4a9615647faaa8dc5dcda07b58bb859020d","target":"graph","created_at":"2026-07-05T11:29:05Z","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/2501.14694/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Self-supervised learning (SSL) is an emerging paradigm that exploits supervisory signals generated from the data itself, and many recent studies have leveraged SSL to conduct graph anomaly detection. However, we empirically found that three important factors can substantially impact detection performance across datasets: 1) the specific SSL strategy employed; 2) the tuning of the strategy's hyperparameters; and 3) the allocation of combination weights when using multiple strategies. Most SSL-based graph anomaly detection methods circumvent these issues by arbitrarily or selectively (i.e., guid","authors_text":"Matthijs van Leeuwen, Yuhang Wang, Zhong Li","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.LG","submitted_at":"2025-01-24T18:13:44Z","title":"Towards Automated Self-Supervised Learning for Truly Unsupervised Graph Anomaly Detection"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2501.14694","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":"sha256:555d00ac8430a396dc40d1eb4a5ee71474af269071e0b72ba479fc2c5905e4d9","target":"record","created_at":"2026-07-05T11:29:05Z","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":"5dd44e7d2c2563a83e0336118b8c8937a12e3d31a6883f5c90903da0e5e5b305","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.LG","submitted_at":"2025-01-24T18:13:44Z","title_canon_sha256":"8ee6a5c2e5d4e2dba7d8de1c8f93f7e70baac553b4a2f8cc1bd711a844069c17"},"schema_version":"1.0","source":{"id":"2501.14694","kind":"arxiv","version":2}},"canonical_sha256":"fe243339f4de35838b2d20dfaa09b4b10cd1ecb81033c3bd06f43299c784bb9f","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"fe243339f4de35838b2d20dfaa09b4b10cd1ecb81033c3bd06f43299c784bb9f","first_computed_at":"2026-07-05T11:29:05.975356Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:29:05.975356Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"NHf4H7h6fEu+VP1tVCBz9XaiyB3FgL67f7YplmjkfVt8Ck8YVsKESZPEa8OTB0b5SWSbURml/47SKz0orqDqBw==","signature_status":"signed_v1","signed_at":"2026-07-05T11:29:05.975875Z","signed_message":"canonical_sha256_bytes"},"source_id":"2501.14694","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:555d00ac8430a396dc40d1eb4a5ee71474af269071e0b72ba479fc2c5905e4d9","sha256:cf23a59d359f32d9c268a8ed5525e4a9615647faaa8dc5dcda07b58bb859020d"],"state_sha256":"8d760712442a0bae3d9f0a26b4e496cfddd985c61e6eee38c111f662f6dd66e2"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"JW9VMqOyY1NAHhaYuMmFv8ROi1wu9flrQvuHiX/OMovFmelpASo/iASU40d22+BAzp947N/PqNRyRkZLw66zDQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-06T14:11:20.023646Z","bundle_sha256":"5a5e1d38e1425ea689aaffb90adc203d58d154d8ea22240da40a0ba86ff6e0f8"}}