{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2019:X4OQYSQYFW3KZKDAPGYSOM2CI5","short_pith_number":"pith:X4OQYSQY","schema_version":"1.0","canonical_sha256":"bf1d0c4a182db6aca86079b12733424772366fe728a274df4c11167b6d01b497","source":{"kind":"arxiv","id":"1908.03757","version":1},"attestation_state":"computed","paper":{"title":"Generalised thresholding of hidden variable network models with scale-free property","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["physics.data-an"],"primary_cat":"physics.soc-ph","authors_text":"Gergely Palla, P\\'eter Pollner, S\\'amuel G. Balogh","submitted_at":"2019-08-10T14:00:51Z","abstract_excerpt":"The hidden variable formalism (based on the assumption of some intrinsic node parameters) turned out to be a remarkably efficient and powerful approach in describing and analyzing the topology of complex networks. Owing to one of its most advantageous property - namely proven to be able to reproduce a wide range of different degree distribution forms - it has become a standard tool for generating networks having the scale-free property. One of the most intensively studied version of this model is based on a thresholding mechanism of the exponentially distributed hidden variables associated to "},"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":"1908.03757","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"physics.soc-ph","submitted_at":"2019-08-10T14:00:51Z","cross_cats_sorted":["physics.data-an"],"title_canon_sha256":"37bc96d45a3c42e9faf0da21806338107079ccae871fc5fa2c46dfc9ed05afee","abstract_canon_sha256":"774460ab7590a3a5230cf9890a74945946710bf08ed5b504f27971cd4ebb9263"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-04T23:53:18.052432Z","signature_b64":"QbR9gYY7SWLhFud5Oml5jp7G6Lb2UorR8VbGSJu4MD5EiYToODegKLHdMo8+6LvJstvAklAJ4DbeZ/pPQvfkBA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"bf1d0c4a182db6aca86079b12733424772366fe728a274df4c11167b6d01b497","last_reissued_at":"2026-07-04T23:53:18.052014Z","signature_status":"signed_v1","first_computed_at":"2026-07-04T23:53:18.052014Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Generalised thresholding of hidden variable network models with scale-free property","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["physics.data-an"],"primary_cat":"physics.soc-ph","authors_text":"Gergely Palla, P\\'eter Pollner, S\\'amuel G. Balogh","submitted_at":"2019-08-10T14:00:51Z","abstract_excerpt":"The hidden variable formalism (based on the assumption of some intrinsic node parameters) turned out to be a remarkably efficient and powerful approach in describing and analyzing the topology of complex networks. Owing to one of its most advantageous property - namely proven to be able to reproduce a wide range of different degree distribution forms - it has become a standard tool for generating networks having the scale-free property. One of the most intensively studied version of this model is based on a thresholding mechanism of the exponentially distributed hidden variables associated to "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1908.03757","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/1908.03757/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":"1908.03757","created_at":"2026-07-04T23:53:18.052085+00:00"},{"alias_kind":"arxiv_version","alias_value":"1908.03757v1","created_at":"2026-07-04T23:53:18.052085+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1908.03757","created_at":"2026-07-04T23:53:18.052085+00:00"},{"alias_kind":"pith_short_12","alias_value":"X4OQYSQYFW3K","created_at":"2026-07-04T23:53:18.052085+00:00"},{"alias_kind":"pith_short_16","alias_value":"X4OQYSQYFW3KZKDA","created_at":"2026-07-04T23:53:18.052085+00:00"},{"alias_kind":"pith_short_8","alias_value":"X4OQYSQY","created_at":"2026-07-04T23:53:18.052085+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/X4OQYSQYFW3KZKDAPGYSOM2CI5","json":"https://pith.science/pith/X4OQYSQYFW3KZKDAPGYSOM2CI5.json","graph_json":"https://pith.science/api/pith-number/X4OQYSQYFW3KZKDAPGYSOM2CI5/graph.json","events_json":"https://pith.science/api/pith-number/X4OQYSQYFW3KZKDAPGYSOM2CI5/events.json","paper":"https://pith.science/paper/X4OQYSQY"},"agent_actions":{"view_html":"https://pith.science/pith/X4OQYSQYFW3KZKDAPGYSOM2CI5","download_json":"https://pith.science/pith/X4OQYSQYFW3KZKDAPGYSOM2CI5.json","view_paper":"https://pith.science/paper/X4OQYSQY","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1908.03757&json=true","fetch_graph":"https://pith.science/api/pith-number/X4OQYSQYFW3KZKDAPGYSOM2CI5/graph.json","fetch_events":"https://pith.science/api/pith-number/X4OQYSQYFW3KZKDAPGYSOM2CI5/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/X4OQYSQYFW3KZKDAPGYSOM2CI5/action/timestamp_anchor","attest_storage":"https://pith.science/pith/X4OQYSQYFW3KZKDAPGYSOM2CI5/action/storage_attestation","attest_author":"https://pith.science/pith/X4OQYSQYFW3KZKDAPGYSOM2CI5/action/author_attestation","sign_citation":"https://pith.science/pith/X4OQYSQYFW3KZKDAPGYSOM2CI5/action/citation_signature","submit_replication":"https://pith.science/pith/X4OQYSQYFW3KZKDAPGYSOM2CI5/action/replication_record"}},"created_at":"2026-07-04T23:53:18.052085+00:00","updated_at":"2026-07-04T23:53:18.052085+00:00"}