{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:F4A5GYUMBP3EQJORXOZFNRECTZ","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":"eaa03b126f40e34f5cb106df3cab4ed7aab1ad6c1abfd29eb337295dfb40c2b7","cross_cats_sorted":["cs.SY"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.SY","submitted_at":"2019-01-04T10:10:59Z","title_canon_sha256":"f1028e52cafc2e5169352126a13ceba97ff59e804620db21b7ee9df8067ef134"},"schema_version":"1.0","source":{"id":"1901.01038","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1901.01038","created_at":"2026-07-05T09:51:19Z"},{"alias_kind":"arxiv_version","alias_value":"1901.01038v1","created_at":"2026-07-05T09:51:19Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1901.01038","created_at":"2026-07-05T09:51:19Z"},{"alias_kind":"pith_short_12","alias_value":"F4A5GYUMBP3E","created_at":"2026-07-05T09:51:19Z"},{"alias_kind":"pith_short_16","alias_value":"F4A5GYUMBP3EQJOR","created_at":"2026-07-05T09:51:19Z"},{"alias_kind":"pith_short_8","alias_value":"F4A5GYUM","created_at":"2026-07-05T09:51:19Z"}],"graph_snapshots":[{"event_id":"sha256:fc0007453dfbd589629b42acb82a3a5f72806a8576ae3317926d01d48401a265","target":"graph","created_at":"2026-07-05T09:51:19Z","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/1901.01038/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Network inference has been attracting increasing attention in several fields, notably systems biology, control engineering and biomedicine. To develop a therapy, it is essential to understand the connectivity of biochemical units and the internal working mechanisms of the target network. A network is mainly characterized by its topology and internal dynamics. In particular, sparse topology and stable system dynamics are fundamental properties of many real-world networks. In recent years, kernel-based methods have been popular in the system identification community. By incorporating empirical B","authors_text":"Jorge Goncalves, Junyang Jin, Ye Yuan","cross_cats":["cs.SY"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.SY","submitted_at":"2019-01-04T10:10:59Z","title":"A Full Bayesian Approach to Sparse Network Inference using Heterogeneous Datasets"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1901.01038","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":"sha256:4cbf982f4b881e09a68849155fd60d24ba00bdcbcba29f8a7fadd2ac1429dd03","target":"record","created_at":"2026-07-05T09:51:19Z","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":"eaa03b126f40e34f5cb106df3cab4ed7aab1ad6c1abfd29eb337295dfb40c2b7","cross_cats_sorted":["cs.SY"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.SY","submitted_at":"2019-01-04T10:10:59Z","title_canon_sha256":"f1028e52cafc2e5169352126a13ceba97ff59e804620db21b7ee9df8067ef134"},"schema_version":"1.0","source":{"id":"1901.01038","kind":"arxiv","version":1}},"canonical_sha256":"2f01d3628c0bf64825d1bbb256c4829e6c099a4a2ff711ec05040a3312ff90f2","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"2f01d3628c0bf64825d1bbb256c4829e6c099a4a2ff711ec05040a3312ff90f2","first_computed_at":"2026-07-05T09:51:19.416413Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:51:19.416413Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"95nw+mVgwOEj2AxnoUo2J+gBeXuE6CnbA4fljheqEgZVU0u893Ok+R+Uid9zTyRx6OE9SFrm3sE3dAV9eROIAg==","signature_status":"signed_v1","signed_at":"2026-07-05T09:51:19.416876Z","signed_message":"canonical_sha256_bytes"},"source_id":"1901.01038","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:4cbf982f4b881e09a68849155fd60d24ba00bdcbcba29f8a7fadd2ac1429dd03","sha256:fc0007453dfbd589629b42acb82a3a5f72806a8576ae3317926d01d48401a265"],"state_sha256":"dcc550badf5973fdba3828e5d399c6f2d692d2e42547f14f4b371b7cbcb5bfca"}