{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2025:W7O3ETRMDOUYOOESDUL4LSAFFT","short_pith_number":"pith:W7O3ETRM","schema_version":"1.0","canonical_sha256":"b7ddb24e2c1ba98738921d17c5c8052cf49ddc64efc251383de245c955577b1e","source":{"kind":"arxiv","id":"2501.13215","version":3},"attestation_state":"computed","paper":{"title":"Voter model can accurately predict individual opinions in online populations","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["physics.soc-ph"],"primary_cat":"cs.SI","authors_text":"Antoine Vendeville","submitted_at":"2025-01-22T20:56:31Z","abstract_excerpt":"Models of opinion dynamics describe how opinions are shaped in various environments. While these models are able to replicate general opinion distributions observed in real-world scenarios, their capacity to align with data at the user level remains mostly untested. We evaluate the capacity of the multi-state voter model with zealots to capture individual opinions in a fine-grained Twitter dataset collected during the 2017 French Presidential elections. Our findings reveal a strong correspondence between individual opinion distributions in the equilibrium state of the model and ground-truth po"},"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":"2501.13215","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SI","submitted_at":"2025-01-22T20:56:31Z","cross_cats_sorted":["physics.soc-ph"],"title_canon_sha256":"c7065b77411926425beb1644666ae431c05c97009c1194ddbc4eece9fa017cd9","abstract_canon_sha256":"d706361dee2ba128501b2f12a855ed2da4b270260360fd1bdeaab1e988360bd5"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:29:05.854175Z","signature_b64":"LQ5bnQNirj69ZjupVLkv/z6U/+2wJ3nBc4/1BWdG15QnDWX1j02oJxbatNcHy7ycgQSVCxHe4NRKdKD4bG7yDg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"b7ddb24e2c1ba98738921d17c5c8052cf49ddc64efc251383de245c955577b1e","last_reissued_at":"2026-07-05T11:29:05.853672Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:29:05.853672Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Voter model can accurately predict individual opinions in online populations","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["physics.soc-ph"],"primary_cat":"cs.SI","authors_text":"Antoine Vendeville","submitted_at":"2025-01-22T20:56:31Z","abstract_excerpt":"Models of opinion dynamics describe how opinions are shaped in various environments. While these models are able to replicate general opinion distributions observed in real-world scenarios, their capacity to align with data at the user level remains mostly untested. We evaluate the capacity of the multi-state voter model with zealots to capture individual opinions in a fine-grained Twitter dataset collected during the 2017 French Presidential elections. Our findings reveal a strong correspondence between individual opinion distributions in the equilibrium state of the model and ground-truth po"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2501.13215","kind":"arxiv","version":3},"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/2501.13215/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":"2501.13215","created_at":"2026-07-05T11:29:05.853732+00:00"},{"alias_kind":"arxiv_version","alias_value":"2501.13215v3","created_at":"2026-07-05T11:29:05.853732+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2501.13215","created_at":"2026-07-05T11:29:05.853732+00:00"},{"alias_kind":"pith_short_12","alias_value":"W7O3ETRMDOUY","created_at":"2026-07-05T11:29:05.853732+00:00"},{"alias_kind":"pith_short_16","alias_value":"W7O3ETRMDOUYOOES","created_at":"2026-07-05T11:29:05.853732+00:00"},{"alias_kind":"pith_short_8","alias_value":"W7O3ETRM","created_at":"2026-07-05T11:29:05.853732+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/W7O3ETRMDOUYOOESDUL4LSAFFT","json":"https://pith.science/pith/W7O3ETRMDOUYOOESDUL4LSAFFT.json","graph_json":"https://pith.science/api/pith-number/W7O3ETRMDOUYOOESDUL4LSAFFT/graph.json","events_json":"https://pith.science/api/pith-number/W7O3ETRMDOUYOOESDUL4LSAFFT/events.json","paper":"https://pith.science/paper/W7O3ETRM"},"agent_actions":{"view_html":"https://pith.science/pith/W7O3ETRMDOUYOOESDUL4LSAFFT","download_json":"https://pith.science/pith/W7O3ETRMDOUYOOESDUL4LSAFFT.json","view_paper":"https://pith.science/paper/W7O3ETRM","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2501.13215&json=true","fetch_graph":"https://pith.science/api/pith-number/W7O3ETRMDOUYOOESDUL4LSAFFT/graph.json","fetch_events":"https://pith.science/api/pith-number/W7O3ETRMDOUYOOESDUL4LSAFFT/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/W7O3ETRMDOUYOOESDUL4LSAFFT/action/timestamp_anchor","attest_storage":"https://pith.science/pith/W7O3ETRMDOUYOOESDUL4LSAFFT/action/storage_attestation","attest_author":"https://pith.science/pith/W7O3ETRMDOUYOOESDUL4LSAFFT/action/author_attestation","sign_citation":"https://pith.science/pith/W7O3ETRMDOUYOOESDUL4LSAFFT/action/citation_signature","submit_replication":"https://pith.science/pith/W7O3ETRMDOUYOOESDUL4LSAFFT/action/replication_record"}},"created_at":"2026-07-05T11:29:05.853732+00:00","updated_at":"2026-07-05T11:29:05.853732+00:00"}