{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2017:SS4SXUQ4LXOYOTI5NGZJ7QY2EX","short_pith_number":"pith:SS4SXUQ4","schema_version":"1.0","canonical_sha256":"94b92bd21c5ddd874d1d69b29fc31a25cb103b8f326fd2bfc9e4ed9e8125fab0","source":{"kind":"arxiv","id":"1707.09496","version":2},"attestation_state":"computed","paper":{"title":"Local-ring network automata and the impact of hyperbolic geometry in complex network link-prediction","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.SI"],"primary_cat":"physics.soc-ph","authors_text":"Alessandro Muscoloni, Carlo Vittorio Cannistraci, Umberto Michieli","submitted_at":"2017-07-29T11:10:19Z","abstract_excerpt":"Topological link-prediction can exploit the entire network topology (global methods) or only the neighbourhood (local methods) of the link to predict. Global methods are believed the best. Is this common belief well-founded? Stochastic-Block-Model (SBM) is a global method believed as one of the best link-predictors, therefore it is considered a reference for comparison. But, our results suggest that SBM, whose computational time is high, cannot in general overcome the Cannistraci-Hebb (CH) network automaton model that is a simple local-learning-rule of topological self-organization proved as t"},"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":"1707.09496","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"physics.soc-ph","submitted_at":"2017-07-29T11:10:19Z","cross_cats_sorted":["cs.SI"],"title_canon_sha256":"c5ed54fba545707f362ecb19d27a604040ccbce902abeb541b605f6bb840fdc8","abstract_canon_sha256":"5021221233ccc7037db85d3d72f7e16825b05e45f873f66b03ef9f1d057b5e5e"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:06:56.444675Z","signature_b64":"qY8W/HtKlG6tOf0oicptfdbWcpZ+L3fUb4kYbXfPs4M/4cmsbpOZrwwt0NXVxfBKYASDlHgYDXD+VLpbZs0fBQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"94b92bd21c5ddd874d1d69b29fc31a25cb103b8f326fd2bfc9e4ed9e8125fab0","last_reissued_at":"2026-05-18T00:06:56.444122Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:06:56.444122Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Local-ring network automata and the impact of hyperbolic geometry in complex network link-prediction","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.SI"],"primary_cat":"physics.soc-ph","authors_text":"Alessandro Muscoloni, Carlo Vittorio Cannistraci, Umberto Michieli","submitted_at":"2017-07-29T11:10:19Z","abstract_excerpt":"Topological link-prediction can exploit the entire network topology (global methods) or only the neighbourhood (local methods) of the link to predict. Global methods are believed the best. Is this common belief well-founded? Stochastic-Block-Model (SBM) is a global method believed as one of the best link-predictors, therefore it is considered a reference for comparison. But, our results suggest that SBM, whose computational time is high, cannot in general overcome the Cannistraci-Hebb (CH) network automaton model that is a simple local-learning-rule of topological self-organization proved as t"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1707.09496","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":""},"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":"1707.09496","created_at":"2026-05-18T00:06:56.444203+00:00"},{"alias_kind":"arxiv_version","alias_value":"1707.09496v2","created_at":"2026-05-18T00:06:56.444203+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1707.09496","created_at":"2026-05-18T00:06:56.444203+00:00"},{"alias_kind":"pith_short_12","alias_value":"SS4SXUQ4LXOY","created_at":"2026-05-18T12:31:43.269735+00:00"},{"alias_kind":"pith_short_16","alias_value":"SS4SXUQ4LXOYOTI5","created_at":"2026-05-18T12:31:43.269735+00:00"},{"alias_kind":"pith_short_8","alias_value":"SS4SXUQ4","created_at":"2026-05-18T12:31:43.269735+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/SS4SXUQ4LXOYOTI5NGZJ7QY2EX","json":"https://pith.science/pith/SS4SXUQ4LXOYOTI5NGZJ7QY2EX.json","graph_json":"https://pith.science/api/pith-number/SS4SXUQ4LXOYOTI5NGZJ7QY2EX/graph.json","events_json":"https://pith.science/api/pith-number/SS4SXUQ4LXOYOTI5NGZJ7QY2EX/events.json","paper":"https://pith.science/paper/SS4SXUQ4"},"agent_actions":{"view_html":"https://pith.science/pith/SS4SXUQ4LXOYOTI5NGZJ7QY2EX","download_json":"https://pith.science/pith/SS4SXUQ4LXOYOTI5NGZJ7QY2EX.json","view_paper":"https://pith.science/paper/SS4SXUQ4","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1707.09496&json=true","fetch_graph":"https://pith.science/api/pith-number/SS4SXUQ4LXOYOTI5NGZJ7QY2EX/graph.json","fetch_events":"https://pith.science/api/pith-number/SS4SXUQ4LXOYOTI5NGZJ7QY2EX/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/SS4SXUQ4LXOYOTI5NGZJ7QY2EX/action/timestamp_anchor","attest_storage":"https://pith.science/pith/SS4SXUQ4LXOYOTI5NGZJ7QY2EX/action/storage_attestation","attest_author":"https://pith.science/pith/SS4SXUQ4LXOYOTI5NGZJ7QY2EX/action/author_attestation","sign_citation":"https://pith.science/pith/SS4SXUQ4LXOYOTI5NGZJ7QY2EX/action/citation_signature","submit_replication":"https://pith.science/pith/SS4SXUQ4LXOYOTI5NGZJ7QY2EX/action/replication_record"}},"created_at":"2026-05-18T00:06:56.444203+00:00","updated_at":"2026-05-18T00:06:56.444203+00:00"}