{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2023:LLHKKYSAFNN2FUQZYAMVRZPDDU","short_pith_number":"pith:LLHKKYSA","schema_version":"1.0","canonical_sha256":"5acea562402b5ba2d219c01958e5e31d1993932b8c9fb4d76f31d8cb1bea4eae","source":{"kind":"arxiv","id":"2303.05909","version":1},"attestation_state":"computed","paper":{"title":"A pseudo-likelihood approach to community detection in weighted networks","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["stat.ML"],"primary_cat":"stat.ME","authors_text":"Andressa Cerqueira, Elizaveta Levina","submitted_at":"2023-03-10T13:36:10Z","abstract_excerpt":"Community structure is common in many real networks, with nodes clustered in groups sharing the same connections patterns. While many community detection methods have been developed for networks with binary edges, few of them are applicable to networks with weighted edges, which are common in practice. We propose a pseudo-likelihood community estimation algorithm derived under the weighted stochastic block model for networks with normally distributed edge weights, extending the pseudo-likelihood algorithm for binary networks, which offers some of the best combinations of accuracy and computati"},"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":"2303.05909","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2023-03-10T13:36:10Z","cross_cats_sorted":["stat.ML"],"title_canon_sha256":"8bbf366640c71186316c6c48ac899af074355fe79b43f1675c76edb601fb8f44","abstract_canon_sha256":"891667bc8ad29c3dda0cc3f96cf20bb694a8f59db4eaae5ec8c110f2d45bf9b0"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T05:49:58.473248Z","signature_b64":"PLZ9EtjAgAHxs4SEyJjaCPAb8VMeGoLJMincaun+w7CRAi9SbBvgSMdrzO2D56vRtKyPgYTs6TJtpoS/o8GkBQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"5acea562402b5ba2d219c01958e5e31d1993932b8c9fb4d76f31d8cb1bea4eae","last_reissued_at":"2026-07-05T05:49:58.472789Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T05:49:58.472789Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"A pseudo-likelihood approach to community detection in weighted networks","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["stat.ML"],"primary_cat":"stat.ME","authors_text":"Andressa Cerqueira, Elizaveta Levina","submitted_at":"2023-03-10T13:36:10Z","abstract_excerpt":"Community structure is common in many real networks, with nodes clustered in groups sharing the same connections patterns. While many community detection methods have been developed for networks with binary edges, few of them are applicable to networks with weighted edges, which are common in practice. We propose a pseudo-likelihood community estimation algorithm derived under the weighted stochastic block model for networks with normally distributed edge weights, extending the pseudo-likelihood algorithm for binary networks, which offers some of the best combinations of accuracy and computati"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2303.05909","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":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2303.05909/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":"2303.05909","created_at":"2026-07-05T05:49:58.472845+00:00"},{"alias_kind":"arxiv_version","alias_value":"2303.05909v1","created_at":"2026-07-05T05:49:58.472845+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2303.05909","created_at":"2026-07-05T05:49:58.472845+00:00"},{"alias_kind":"pith_short_12","alias_value":"LLHKKYSAFNN2","created_at":"2026-07-05T05:49:58.472845+00:00"},{"alias_kind":"pith_short_16","alias_value":"LLHKKYSAFNN2FUQZ","created_at":"2026-07-05T05:49:58.472845+00:00"},{"alias_kind":"pith_short_8","alias_value":"LLHKKYSA","created_at":"2026-07-05T05:49:58.472845+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":1,"internal_anchor_count":0,"sample":[{"citing_arxiv_id":"2606.07447","citing_title":"Community Detection on a Randomly Growing Network","ref_index":31,"is_internal_anchor":false}]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/LLHKKYSAFNN2FUQZYAMVRZPDDU","json":"https://pith.science/pith/LLHKKYSAFNN2FUQZYAMVRZPDDU.json","graph_json":"https://pith.science/api/pith-number/LLHKKYSAFNN2FUQZYAMVRZPDDU/graph.json","events_json":"https://pith.science/api/pith-number/LLHKKYSAFNN2FUQZYAMVRZPDDU/events.json","paper":"https://pith.science/paper/LLHKKYSA"},"agent_actions":{"view_html":"https://pith.science/pith/LLHKKYSAFNN2FUQZYAMVRZPDDU","download_json":"https://pith.science/pith/LLHKKYSAFNN2FUQZYAMVRZPDDU.json","view_paper":"https://pith.science/paper/LLHKKYSA","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2303.05909&json=true","fetch_graph":"https://pith.science/api/pith-number/LLHKKYSAFNN2FUQZYAMVRZPDDU/graph.json","fetch_events":"https://pith.science/api/pith-number/LLHKKYSAFNN2FUQZYAMVRZPDDU/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/LLHKKYSAFNN2FUQZYAMVRZPDDU/action/timestamp_anchor","attest_storage":"https://pith.science/pith/LLHKKYSAFNN2FUQZYAMVRZPDDU/action/storage_attestation","attest_author":"https://pith.science/pith/LLHKKYSAFNN2FUQZYAMVRZPDDU/action/author_attestation","sign_citation":"https://pith.science/pith/LLHKKYSAFNN2FUQZYAMVRZPDDU/action/citation_signature","submit_replication":"https://pith.science/pith/LLHKKYSAFNN2FUQZYAMVRZPDDU/action/replication_record"}},"created_at":"2026-07-05T05:49:58.472845+00:00","updated_at":"2026-07-05T05:49:58.472845+00:00"}