{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2017:KJ3CQB4Y573UETZOJJV3XWVAGF","short_pith_number":"pith:KJ3CQB4Y","canonical_record":{"source":{"id":"1702.07685","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.CO","submitted_at":"2017-02-24T17:54:23Z","cross_cats_sorted":[],"title_canon_sha256":"e749ec33b62c61238c1a8f15025aa1f30bd5d744c36b04154262ab7a5ef35cd9","abstract_canon_sha256":"9279788e90b2e4831d0b26a55c03ec83c094772aacffd7219810a6885d9d3fa8"},"schema_version":"1.0"},"canonical_sha256":"5276280798eff7424f2e4a6bbbdaa031568235c607f020b95e7e0c0d4194c05b","source":{"kind":"arxiv","id":"1702.07685","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1702.07685","created_at":"2026-05-18T00:50:02Z"},{"alias_kind":"arxiv_version","alias_value":"1702.07685v1","created_at":"2026-05-18T00:50:02Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1702.07685","created_at":"2026-05-18T00:50:02Z"},{"alias_kind":"pith_short_12","alias_value":"KJ3CQB4Y573U","created_at":"2026-05-18T12:31:24Z"},{"alias_kind":"pith_short_16","alias_value":"KJ3CQB4Y573UETZO","created_at":"2026-05-18T12:31:24Z"},{"alias_kind":"pith_short_8","alias_value":"KJ3CQB4Y","created_at":"2026-05-18T12:31:24Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2017:KJ3CQB4Y573UETZOJJV3XWVAGF","target":"record","payload":{"canonical_record":{"source":{"id":"1702.07685","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.CO","submitted_at":"2017-02-24T17:54:23Z","cross_cats_sorted":[],"title_canon_sha256":"e749ec33b62c61238c1a8f15025aa1f30bd5d744c36b04154262ab7a5ef35cd9","abstract_canon_sha256":"9279788e90b2e4831d0b26a55c03ec83c094772aacffd7219810a6885d9d3fa8"},"schema_version":"1.0"},"canonical_sha256":"5276280798eff7424f2e4a6bbbdaa031568235c607f020b95e7e0c0d4194c05b","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:50:02.508398Z","signature_b64":"JJoShuUid1x72QnxUQl8Mhl+Dabz93ZPGd9RwguvaNluWCWjz1iyg7xCPiTY+yCUlCQIG5Zok1aQjUL/gfKQCA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"5276280798eff7424f2e4a6bbbdaa031568235c607f020b95e7e0c0d4194c05b","last_reissued_at":"2026-05-18T00:50:02.507782Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:50:02.507782Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1702.07685","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":"2026-05-18T00:50:02Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"jZlwMLXPyuDpFurEbk5ZBTBxnzBCsUkW22DvN23xinS+KHUzXtpO2GbNGiYMFGft+PT5Ax/QtQ+daK53h8HODg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-24T20:14:27.978030Z"},"content_sha256":"31cc4bda5cf3dd5d4b3bf6ed55dabf064ad1f895da5cb3305623ee4fc2b2d04c","schema_version":"1.0","event_id":"sha256:31cc4bda5cf3dd5d4b3bf6ed55dabf064ad1f895da5cb3305623ee4fc2b2d04c"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2017:KJ3CQB4Y573UETZOJJV3XWVAGF","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"ROPE: high-dimensional network modeling with robust control of edge FDR","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"stat.CO","authors_text":"Alexandra Jauhiainen, Jonatan Kallus, Jose Sanchez, Rebecka J\\\"ornsten, Sven Nelander","submitted_at":"2017-02-24T17:54:23Z","abstract_excerpt":"Network modeling has become increasingly popular for analyzing genomic data, to aid in the interpretation and discovery of possible mechanistic components and therapeutic targets. However, genomic-scale networks are high-dimensional models and are usually estimated from a relatively small number of samples. Therefore, their usefulness is hampered by estimation instability. In addition, the complexity of the models is controlled by one or more penalization (tuning) parameters where small changes to these can lead to vastly different networks, thus making interpretation of models difficult. This"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1702.07685","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":"2026-05-18T00:50:02Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"3RBeeMSjL9Wu5eqgDOGw7tyVM79Z5IyxhOyFEKsh/Ro8CnAXp06UnfdoOgJOeOXBHGYVUfIpacTS9NkDVabTBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-24T20:14:27.978385Z"},"content_sha256":"3d93cc0ddcca5aa6040e165d7cb4df7b89222869f382893661c4c307782934ec","schema_version":"1.0","event_id":"sha256:3d93cc0ddcca5aa6040e165d7cb4df7b89222869f382893661c4c307782934ec"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/KJ3CQB4Y573UETZOJJV3XWVAGF/bundle.json","state_url":"https://pith.science/pith/KJ3CQB4Y573UETZOJJV3XWVAGF/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/KJ3CQB4Y573UETZOJJV3XWVAGF/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":"2026-06-24T20:14:27Z","links":{"resolver":"https://pith.science/pith/KJ3CQB4Y573UETZOJJV3XWVAGF","bundle":"https://pith.science/pith/KJ3CQB4Y573UETZOJJV3XWVAGF/bundle.json","state":"https://pith.science/pith/KJ3CQB4Y573UETZOJJV3XWVAGF/state.json","well_known_bundle":"https://pith.science/.well-known/pith/KJ3CQB4Y573UETZOJJV3XWVAGF/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:KJ3CQB4Y573UETZOJJV3XWVAGF","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":"9279788e90b2e4831d0b26a55c03ec83c094772aacffd7219810a6885d9d3fa8","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.CO","submitted_at":"2017-02-24T17:54:23Z","title_canon_sha256":"e749ec33b62c61238c1a8f15025aa1f30bd5d744c36b04154262ab7a5ef35cd9"},"schema_version":"1.0","source":{"id":"1702.07685","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1702.07685","created_at":"2026-05-18T00:50:02Z"},{"alias_kind":"arxiv_version","alias_value":"1702.07685v1","created_at":"2026-05-18T00:50:02Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1702.07685","created_at":"2026-05-18T00:50:02Z"},{"alias_kind":"pith_short_12","alias_value":"KJ3CQB4Y573U","created_at":"2026-05-18T12:31:24Z"},{"alias_kind":"pith_short_16","alias_value":"KJ3CQB4Y573UETZO","created_at":"2026-05-18T12:31:24Z"},{"alias_kind":"pith_short_8","alias_value":"KJ3CQB4Y","created_at":"2026-05-18T12:31:24Z"}],"graph_snapshots":[{"event_id":"sha256:3d93cc0ddcca5aa6040e165d7cb4df7b89222869f382893661c4c307782934ec","target":"graph","created_at":"2026-05-18T00:50:02Z","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":"Network modeling has become increasingly popular for analyzing genomic data, to aid in the interpretation and discovery of possible mechanistic components and therapeutic targets. However, genomic-scale networks are high-dimensional models and are usually estimated from a relatively small number of samples. Therefore, their usefulness is hampered by estimation instability. In addition, the complexity of the models is controlled by one or more penalization (tuning) parameters where small changes to these can lead to vastly different networks, thus making interpretation of models difficult. This","authors_text":"Alexandra Jauhiainen, Jonatan Kallus, Jose Sanchez, Rebecka J\\\"ornsten, Sven Nelander","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.CO","submitted_at":"2017-02-24T17:54:23Z","title":"ROPE: high-dimensional network modeling with robust control of edge FDR"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1702.07685","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":"sha256:31cc4bda5cf3dd5d4b3bf6ed55dabf064ad1f895da5cb3305623ee4fc2b2d04c","target":"record","created_at":"2026-05-18T00:50:02Z","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":"9279788e90b2e4831d0b26a55c03ec83c094772aacffd7219810a6885d9d3fa8","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.CO","submitted_at":"2017-02-24T17:54:23Z","title_canon_sha256":"e749ec33b62c61238c1a8f15025aa1f30bd5d744c36b04154262ab7a5ef35cd9"},"schema_version":"1.0","source":{"id":"1702.07685","kind":"arxiv","version":1}},"canonical_sha256":"5276280798eff7424f2e4a6bbbdaa031568235c607f020b95e7e0c0d4194c05b","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"5276280798eff7424f2e4a6bbbdaa031568235c607f020b95e7e0c0d4194c05b","first_computed_at":"2026-05-18T00:50:02.507782Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:50:02.507782Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"JJoShuUid1x72QnxUQl8Mhl+Dabz93ZPGd9RwguvaNluWCWjz1iyg7xCPiTY+yCUlCQIG5Zok1aQjUL/gfKQCA==","signature_status":"signed_v1","signed_at":"2026-05-18T00:50:02.508398Z","signed_message":"canonical_sha256_bytes"},"source_id":"1702.07685","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:31cc4bda5cf3dd5d4b3bf6ed55dabf064ad1f895da5cb3305623ee4fc2b2d04c","sha256:3d93cc0ddcca5aa6040e165d7cb4df7b89222869f382893661c4c307782934ec"],"state_sha256":"1913a822efe1ff8d68ee23443a1091067846f60416f4995b474e543c5a187f3f"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"EpgTwHA1Idb8WWYBHz3khUyTX0+AvBqTJ5LMNVdgW8ZL9AO6X7Ede1Eq72D2ZKuK1Vtcm4f0OMN25BMZHu2QAQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-24T20:14:27.980293Z","bundle_sha256":"8a2f5fb150d9cc5d2d42cd28ee511f3f85a0c0c56c6b5a933b96cacd916d95e8"}}