{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2018:HPYW5CBLZIHGKMOQKVCWG7QHBA","short_pith_number":"pith:HPYW5CBL","schema_version":"1.0","canonical_sha256":"3bf16e882bca0e6531d05545637e070820f9090718f97bb08c4089299cd91b85","source":{"kind":"arxiv","id":"1806.03405","version":2},"attestation_state":"computed","paper":{"title":"Data based reconstruction of complex multiplex networks","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.SI"],"primary_cat":"physics.soc-ph","authors_text":"Chuang Ma, Hai-Feng Zhang, Han-Shuang Chen, Xiang Li, Ying-Cheng Lai","submitted_at":"2018-06-09T03:53:00Z","abstract_excerpt":"It has been recognized that many complex dynamical systems in the real world require a description in terms of multiplex networks, where a set of common, mutually connected nodes belong to distinct network layers and play a different role in each layer. In spite of recent progress towards data based inference of single-layer networks, to reconstruct complex systems with a multiplex structure remains largely open. We articulate a mean-field based maximum likelihood estimation framework to solve this outstanding and challenging problem. We demonstrate the power of the reconstruction framework an"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"1806.03405","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"physics.soc-ph","submitted_at":"2018-06-09T03:53:00Z","cross_cats_sorted":["cs.SI"],"title_canon_sha256":"9dec60b540062c0cec730af3582d99c7a02171f91b8fbe27e7ebf6c461d774ca","abstract_canon_sha256":"ae161816a896b5dffcc119583fcb814b54d85c843f624415abc969b2ec18771a"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T00:27:28.868609Z","signature_b64":"tGJWAddZui2uXWYrmD3tFueD250h4ra+rj9B2BKslBtvAYW1cLqgr+jG8BPocfdc0I+DxJ0QaG01TKj8nw9LDA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"3bf16e882bca0e6531d05545637e070820f9090718f97bb08c4089299cd91b85","last_reissued_at":"2026-07-05T00:27:28.868160Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T00:27:28.868160Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Data based reconstruction of complex multiplex networks","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.SI"],"primary_cat":"physics.soc-ph","authors_text":"Chuang Ma, Hai-Feng Zhang, Han-Shuang Chen, Xiang Li, Ying-Cheng Lai","submitted_at":"2018-06-09T03:53:00Z","abstract_excerpt":"It has been recognized that many complex dynamical systems in the real world require a description in terms of multiplex networks, where a set of common, mutually connected nodes belong to distinct network layers and play a different role in each layer. In spite of recent progress towards data based inference of single-layer networks, to reconstruct complex systems with a multiplex structure remains largely open. We articulate a mean-field based maximum likelihood estimation framework to solve this outstanding and challenging problem. We demonstrate the power of the reconstruction framework an"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1806.03405","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/1806.03405/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"},"aliases":[{"alias_kind":"arxiv","alias_value":"1806.03405","created_at":"2026-07-05T00:27:28.868211+00:00"},{"alias_kind":"arxiv_version","alias_value":"1806.03405v2","created_at":"2026-07-05T00:27:28.868211+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1806.03405","created_at":"2026-07-05T00:27:28.868211+00:00"},{"alias_kind":"pith_short_12","alias_value":"HPYW5CBLZIHG","created_at":"2026-07-05T00:27:28.868211+00:00"},{"alias_kind":"pith_short_16","alias_value":"HPYW5CBLZIHGKMOQ","created_at":"2026-07-05T00:27:28.868211+00:00"},{"alias_kind":"pith_short_8","alias_value":"HPYW5CBL","created_at":"2026-07-05T00:27:28.868211+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/HPYW5CBLZIHGKMOQKVCWG7QHBA","json":"https://pith.science/pith/HPYW5CBLZIHGKMOQKVCWG7QHBA.json","graph_json":"https://pith.science/api/pith-number/HPYW5CBLZIHGKMOQKVCWG7QHBA/graph.json","events_json":"https://pith.science/api/pith-number/HPYW5CBLZIHGKMOQKVCWG7QHBA/events.json","paper":"https://pith.science/paper/HPYW5CBL"},"agent_actions":{"view_html":"https://pith.science/pith/HPYW5CBLZIHGKMOQKVCWG7QHBA","download_json":"https://pith.science/pith/HPYW5CBLZIHGKMOQKVCWG7QHBA.json","view_paper":"https://pith.science/paper/HPYW5CBL","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1806.03405&json=true","fetch_graph":"https://pith.science/api/pith-number/HPYW5CBLZIHGKMOQKVCWG7QHBA/graph.json","fetch_events":"https://pith.science/api/pith-number/HPYW5CBLZIHGKMOQKVCWG7QHBA/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/HPYW5CBLZIHGKMOQKVCWG7QHBA/action/timestamp_anchor","attest_storage":"https://pith.science/pith/HPYW5CBLZIHGKMOQKVCWG7QHBA/action/storage_attestation","attest_author":"https://pith.science/pith/HPYW5CBLZIHGKMOQKVCWG7QHBA/action/author_attestation","sign_citation":"https://pith.science/pith/HPYW5CBLZIHGKMOQKVCWG7QHBA/action/citation_signature","submit_replication":"https://pith.science/pith/HPYW5CBLZIHGKMOQKVCWG7QHBA/action/replication_record"}},"created_at":"2026-07-05T00:27:28.868211+00:00","updated_at":"2026-07-05T00:27:28.868211+00:00"}