{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2016:SQSZOAQ2MTKQL6H3W45WCNPE6Y","short_pith_number":"pith:SQSZOAQ2","schema_version":"1.0","canonical_sha256":"942597021a64d505f8fbb73b6135e4f63105ba23da0f9ba3c06904259cd7c9fe","source":{"kind":"arxiv","id":"1608.08517","version":4},"attestation_state":"computed","paper":{"title":"Empirically Grounded Agent-Based Models of Innovation Diffusion: A Critical Review","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI","physics.soc-ph"],"primary_cat":"cs.SI","authors_text":"Haifeng Zhang, Yevgeniy Vorobeychik","submitted_at":"2016-08-30T15:45:13Z","abstract_excerpt":"Innovation diffusion has been studied extensively in a variety of disciplines, including sociology, economics, marketing, ecology, and computer science. Traditional literature on innovation diffusion has been dominated by models of aggregate behavior and trends. However, the agent-based modeling (ABM) paradigm is gaining popularity as it captures agent heterogeneity and enables fine-grained modeling of interactions mediated by social and geographic networks. While most ABM work on innovation diffusion is theoretical, empirically grounded models are increasingly important, particularly in guidi"},"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":"1608.08517","kind":"arxiv","version":4},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SI","submitted_at":"2016-08-30T15:45:13Z","cross_cats_sorted":["cs.AI","physics.soc-ph"],"title_canon_sha256":"2b48643d2c1c8f8cce83a43ccc1f42f5661d6ac21abd4a6b7f1cc08a819aadbf","abstract_canon_sha256":"7b860d384ec9a5c26751f7e18896769bb7063c651e38cbd4575d2fff7aa96d50"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:43:43.504693Z","signature_b64":"hbhlIhJKsYa0JV6cNLOD7sQRaD3f5jyNtTT0tPXqAdZUhHS08fPkaVY37EOWyIq3JKw1YSkqjkiPCGEfswFdCw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"942597021a64d505f8fbb73b6135e4f63105ba23da0f9ba3c06904259cd7c9fe","last_reissued_at":"2026-05-18T00:43:43.503951Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:43:43.503951Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Empirically Grounded Agent-Based Models of Innovation Diffusion: A Critical Review","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI","physics.soc-ph"],"primary_cat":"cs.SI","authors_text":"Haifeng Zhang, Yevgeniy Vorobeychik","submitted_at":"2016-08-30T15:45:13Z","abstract_excerpt":"Innovation diffusion has been studied extensively in a variety of disciplines, including sociology, economics, marketing, ecology, and computer science. Traditional literature on innovation diffusion has been dominated by models of aggregate behavior and trends. However, the agent-based modeling (ABM) paradigm is gaining popularity as it captures agent heterogeneity and enables fine-grained modeling of interactions mediated by social and geographic networks. While most ABM work on innovation diffusion is theoretical, empirically grounded models are increasingly important, particularly in guidi"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1608.08517","kind":"arxiv","version":4},"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":"1608.08517","created_at":"2026-05-18T00:43:43.504067+00:00"},{"alias_kind":"arxiv_version","alias_value":"1608.08517v4","created_at":"2026-05-18T00:43:43.504067+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1608.08517","created_at":"2026-05-18T00:43:43.504067+00:00"},{"alias_kind":"pith_short_12","alias_value":"SQSZOAQ2MTKQ","created_at":"2026-05-18T12:30:44.179134+00:00"},{"alias_kind":"pith_short_16","alias_value":"SQSZOAQ2MTKQL6H3","created_at":"2026-05-18T12:30:44.179134+00:00"},{"alias_kind":"pith_short_8","alias_value":"SQSZOAQ2","created_at":"2026-05-18T12:30:44.179134+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/SQSZOAQ2MTKQL6H3W45WCNPE6Y","json":"https://pith.science/pith/SQSZOAQ2MTKQL6H3W45WCNPE6Y.json","graph_json":"https://pith.science/api/pith-number/SQSZOAQ2MTKQL6H3W45WCNPE6Y/graph.json","events_json":"https://pith.science/api/pith-number/SQSZOAQ2MTKQL6H3W45WCNPE6Y/events.json","paper":"https://pith.science/paper/SQSZOAQ2"},"agent_actions":{"view_html":"https://pith.science/pith/SQSZOAQ2MTKQL6H3W45WCNPE6Y","download_json":"https://pith.science/pith/SQSZOAQ2MTKQL6H3W45WCNPE6Y.json","view_paper":"https://pith.science/paper/SQSZOAQ2","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1608.08517&json=true","fetch_graph":"https://pith.science/api/pith-number/SQSZOAQ2MTKQL6H3W45WCNPE6Y/graph.json","fetch_events":"https://pith.science/api/pith-number/SQSZOAQ2MTKQL6H3W45WCNPE6Y/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/SQSZOAQ2MTKQL6H3W45WCNPE6Y/action/timestamp_anchor","attest_storage":"https://pith.science/pith/SQSZOAQ2MTKQL6H3W45WCNPE6Y/action/storage_attestation","attest_author":"https://pith.science/pith/SQSZOAQ2MTKQL6H3W45WCNPE6Y/action/author_attestation","sign_citation":"https://pith.science/pith/SQSZOAQ2MTKQL6H3W45WCNPE6Y/action/citation_signature","submit_replication":"https://pith.science/pith/SQSZOAQ2MTKQL6H3W45WCNPE6Y/action/replication_record"}},"created_at":"2026-05-18T00:43:43.504067+00:00","updated_at":"2026-05-18T00:43:43.504067+00:00"}