{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2012:YZX4RJUZZ7YD55J47EP6HI4NUU","short_pith_number":"pith:YZX4RJUZ","canonical_record":{"source":{"id":"1210.8429","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2012-10-31T18:24:10Z","cross_cats_sorted":[],"title_canon_sha256":"e2596298e96db8652820e9c16aa071715ecc058ff5e6cc7e958d2b696b11f4b5","abstract_canon_sha256":"5bc1411abe9ef3726b1884fd907d584e79b50498deb03e292d06cde64cacc8a0"},"schema_version":"1.0"},"canonical_sha256":"c66fc8a699cff03ef53cf91fe3a38da52636c88b3e3d9255f9ab79187b9733b5","source":{"kind":"arxiv","id":"1210.8429","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1210.8429","created_at":"2026-05-18T01:53:28Z"},{"alias_kind":"arxiv_version","alias_value":"1210.8429v1","created_at":"2026-05-18T01:53:28Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1210.8429","created_at":"2026-05-18T01:53:28Z"},{"alias_kind":"pith_short_12","alias_value":"YZX4RJUZZ7YD","created_at":"2026-05-18T12:27:30Z"},{"alias_kind":"pith_short_16","alias_value":"YZX4RJUZZ7YD55J4","created_at":"2026-05-18T12:27:30Z"},{"alias_kind":"pith_short_8","alias_value":"YZX4RJUZ","created_at":"2026-05-18T12:27:30Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2012:YZX4RJUZZ7YD55J47EP6HI4NUU","target":"record","payload":{"canonical_record":{"source":{"id":"1210.8429","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2012-10-31T18:24:10Z","cross_cats_sorted":[],"title_canon_sha256":"e2596298e96db8652820e9c16aa071715ecc058ff5e6cc7e958d2b696b11f4b5","abstract_canon_sha256":"5bc1411abe9ef3726b1884fd907d584e79b50498deb03e292d06cde64cacc8a0"},"schema_version":"1.0"},"canonical_sha256":"c66fc8a699cff03ef53cf91fe3a38da52636c88b3e3d9255f9ab79187b9733b5","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T01:53:28.690374Z","signature_b64":"dGzmATNEkOgBXIrPV2CEfGeJLFkjhVlUsxkdzOr6XrleTsSU7W6lHPNFIKITmtLkGaqWfL+vj8OiT7jJEjxRBQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"c66fc8a699cff03ef53cf91fe3a38da52636c88b3e3d9255f9ab79187b9733b5","last_reissued_at":"2026-05-18T01:53:28.689633Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T01:53:28.689633Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1210.8429","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":"2026-05-18T01:53:28Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"QBzh6Pb4Qg+uXtqwultQPTTFXJrXYq+CSutOseHGEfxk8A/FX6LlNUeBDnMfWm8EeRot5u+K89UoLRb8WgwdDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-08T04:24:30.352867Z"},"content_sha256":"6f39dcf8455c3cdc00805ff5bf68d19578dea6617e7a1a8637774ed133851feb","schema_version":"1.0","event_id":"sha256:6f39dcf8455c3cdc00805ff5bf68d19578dea6617e7a1a8637774ed133851feb"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2012:YZX4RJUZZ7YD55J47EP6HI4NUU","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Anomaly Detection in Time Series of Graphs using Fusion of Graph Invariants","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"stat.ML","authors_text":"Abdou Youssef, Carey E. Priebe, Youngser Park","submitted_at":"2012-10-31T18:24:10Z","abstract_excerpt":"Given a time series of graphs G(t) = (V, E(t)), t = 1, 2, ..., where the fixed vertex set V represents \"actors\" and an edge between vertex u and vertex v at time t (uv \\in E(t)) represents the existence of a communications event between actors u and v during the tth time period, we wish to detect anomalies and/or change points. We consider a collection of graph features, or invariants, and demonstrate that adaptive fusion provides superior inferential efficacy compared to naive equal weighting for a certain class of anomaly detection problems. Simulation results using a latent process model fo"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1210.8429","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":""},"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":"2026-05-18T01:53:28Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"rk0w8ZnssU9hi7TECdxSQRhI3bFC8W4v9hSn8DDnVrriRK0hogSPuw1GeE2va1hu20hrFfW7FwGjQsgYwqj1Bw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-08T04:24:30.353232Z"},"content_sha256":"999eecf15f8517d316ab9c03903fd22d9f85fc4229b474859590a56694a4ee1c","schema_version":"1.0","event_id":"sha256:999eecf15f8517d316ab9c03903fd22d9f85fc4229b474859590a56694a4ee1c"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/YZX4RJUZZ7YD55J47EP6HI4NUU/bundle.json","state_url":"https://pith.science/pith/YZX4RJUZZ7YD55J47EP6HI4NUU/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/YZX4RJUZZ7YD55J47EP6HI4NUU/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":"2026-06-08T04:24:30Z","links":{"resolver":"https://pith.science/pith/YZX4RJUZZ7YD55J47EP6HI4NUU","bundle":"https://pith.science/pith/YZX4RJUZZ7YD55J47EP6HI4NUU/bundle.json","state":"https://pith.science/pith/YZX4RJUZZ7YD55J47EP6HI4NUU/state.json","well_known_bundle":"https://pith.science/.well-known/pith/YZX4RJUZZ7YD55J47EP6HI4NUU/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2012:YZX4RJUZZ7YD55J47EP6HI4NUU","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":"5bc1411abe9ef3726b1884fd907d584e79b50498deb03e292d06cde64cacc8a0","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2012-10-31T18:24:10Z","title_canon_sha256":"e2596298e96db8652820e9c16aa071715ecc058ff5e6cc7e958d2b696b11f4b5"},"schema_version":"1.0","source":{"id":"1210.8429","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1210.8429","created_at":"2026-05-18T01:53:28Z"},{"alias_kind":"arxiv_version","alias_value":"1210.8429v1","created_at":"2026-05-18T01:53:28Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1210.8429","created_at":"2026-05-18T01:53:28Z"},{"alias_kind":"pith_short_12","alias_value":"YZX4RJUZZ7YD","created_at":"2026-05-18T12:27:30Z"},{"alias_kind":"pith_short_16","alias_value":"YZX4RJUZZ7YD55J4","created_at":"2026-05-18T12:27:30Z"},{"alias_kind":"pith_short_8","alias_value":"YZX4RJUZ","created_at":"2026-05-18T12:27:30Z"}],"graph_snapshots":[{"event_id":"sha256:999eecf15f8517d316ab9c03903fd22d9f85fc4229b474859590a56694a4ee1c","target":"graph","created_at":"2026-05-18T01:53:28Z","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"},"paper":{"abstract_excerpt":"Given a time series of graphs G(t) = (V, E(t)), t = 1, 2, ..., where the fixed vertex set V represents \"actors\" and an edge between vertex u and vertex v at time t (uv \\in E(t)) represents the existence of a communications event between actors u and v during the tth time period, we wish to detect anomalies and/or change points. We consider a collection of graph features, or invariants, and demonstrate that adaptive fusion provides superior inferential efficacy compared to naive equal weighting for a certain class of anomaly detection problems. Simulation results using a latent process model fo","authors_text":"Abdou Youssef, Carey E. Priebe, Youngser Park","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2012-10-31T18:24:10Z","title":"Anomaly Detection in Time Series of Graphs using Fusion of Graph Invariants"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1210.8429","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":"sha256:6f39dcf8455c3cdc00805ff5bf68d19578dea6617e7a1a8637774ed133851feb","target":"record","created_at":"2026-05-18T01:53:28Z","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":"5bc1411abe9ef3726b1884fd907d584e79b50498deb03e292d06cde64cacc8a0","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2012-10-31T18:24:10Z","title_canon_sha256":"e2596298e96db8652820e9c16aa071715ecc058ff5e6cc7e958d2b696b11f4b5"},"schema_version":"1.0","source":{"id":"1210.8429","kind":"arxiv","version":1}},"canonical_sha256":"c66fc8a699cff03ef53cf91fe3a38da52636c88b3e3d9255f9ab79187b9733b5","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"c66fc8a699cff03ef53cf91fe3a38da52636c88b3e3d9255f9ab79187b9733b5","first_computed_at":"2026-05-18T01:53:28.689633Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T01:53:28.689633Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"dGzmATNEkOgBXIrPV2CEfGeJLFkjhVlUsxkdzOr6XrleTsSU7W6lHPNFIKITmtLkGaqWfL+vj8OiT7jJEjxRBQ==","signature_status":"signed_v1","signed_at":"2026-05-18T01:53:28.690374Z","signed_message":"canonical_sha256_bytes"},"source_id":"1210.8429","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:6f39dcf8455c3cdc00805ff5bf68d19578dea6617e7a1a8637774ed133851feb","sha256:999eecf15f8517d316ab9c03903fd22d9f85fc4229b474859590a56694a4ee1c"],"state_sha256":"7f212820a03b8719cd4143bd2c0a64157870cb2336067f7974dd4fb13dfeb229"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"cCmmJlzxHfU/2cFqppHyd8RJjx94RYm8YFwnB+l673Ga6Btd2aMgEAL+5SWq8va6LfS7IXxZJZQw7uIRwd6hDg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-08T04:24:30.356554Z","bundle_sha256":"b2ac2028a4f47d181059b93638f486f043cc0bf017e00d8932868683464588c8"}}