{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2014:4J2SJP2NEPJJA7C4VUTBDGGVH2","short_pith_number":"pith:4J2SJP2N","schema_version":"1.0","canonical_sha256":"e27524bf4d23d2907c5cad261198d53e9e416cef44428c2461cd2d70d0478d8c","source":{"kind":"arxiv","id":"1406.4498","version":2},"attestation_state":"computed","paper":{"title":"Extracting information from S-curves of language change","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CL","physics.data-an"],"primary_cat":"physics.soc-ph","authors_text":"Eduardo G. Altmann, Fakhteh Ghanbarnejad, Jose M. Miotto, Martin Gerlach","submitted_at":"2014-06-17T19:49:03Z","abstract_excerpt":"It is well accepted that adoption of innovations are described by S-curves (slow start, accelerating period, and slow end). In this paper, we analyze how much information on the dynamics of innovation spreading can be obtained from a quantitative description of S-curves. We focus on the adoption of linguistic innovations for which detailed databases of written texts from the last 200 years allow for an unprecedented statistical precision. Combining data analysis with simulations of simple models (e.g., the Bass dynamics on complex networks) we identify signatures of endogenous and exogenous fa"},"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":"1406.4498","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"physics.soc-ph","submitted_at":"2014-06-17T19:49:03Z","cross_cats_sorted":["cs.CL","physics.data-an"],"title_canon_sha256":"d887bb78373a2ba236206dd070b830b582b045a6e3a71f96f16f9625a82c3bc8","abstract_canon_sha256":"63bdfaf256d1cc7604f153992991a612a10a73a5792b9a67c1cc874333fa348a"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T02:39:00.818351Z","signature_b64":"Slf9/0Z8OTYtyYjJbXh1DsRHkYO5b5Ycf39HOCNZOkP7zOgljT9pOUz4u+JmI9M5cXjN+xHkstb5MO2JbKqABA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"e27524bf4d23d2907c5cad261198d53e9e416cef44428c2461cd2d70d0478d8c","last_reissued_at":"2026-05-18T02:39:00.817637Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T02:39:00.817637Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Extracting information from S-curves of language change","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CL","physics.data-an"],"primary_cat":"physics.soc-ph","authors_text":"Eduardo G. Altmann, Fakhteh Ghanbarnejad, Jose M. Miotto, Martin Gerlach","submitted_at":"2014-06-17T19:49:03Z","abstract_excerpt":"It is well accepted that adoption of innovations are described by S-curves (slow start, accelerating period, and slow end). In this paper, we analyze how much information on the dynamics of innovation spreading can be obtained from a quantitative description of S-curves. We focus on the adoption of linguistic innovations for which detailed databases of written texts from the last 200 years allow for an unprecedented statistical precision. Combining data analysis with simulations of simple models (e.g., the Bass dynamics on complex networks) we identify signatures of endogenous and exogenous fa"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1406.4498","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":"1406.4498","created_at":"2026-05-18T02:39:00.817763+00:00"},{"alias_kind":"arxiv_version","alias_value":"1406.4498v2","created_at":"2026-05-18T02:39:00.817763+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1406.4498","created_at":"2026-05-18T02:39:00.817763+00:00"},{"alias_kind":"pith_short_12","alias_value":"4J2SJP2NEPJJ","created_at":"2026-05-18T12:28:14.216126+00:00"},{"alias_kind":"pith_short_16","alias_value":"4J2SJP2NEPJJA7C4","created_at":"2026-05-18T12:28:14.216126+00:00"},{"alias_kind":"pith_short_8","alias_value":"4J2SJP2N","created_at":"2026-05-18T12:28:14.216126+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/4J2SJP2NEPJJA7C4VUTBDGGVH2","json":"https://pith.science/pith/4J2SJP2NEPJJA7C4VUTBDGGVH2.json","graph_json":"https://pith.science/api/pith-number/4J2SJP2NEPJJA7C4VUTBDGGVH2/graph.json","events_json":"https://pith.science/api/pith-number/4J2SJP2NEPJJA7C4VUTBDGGVH2/events.json","paper":"https://pith.science/paper/4J2SJP2N"},"agent_actions":{"view_html":"https://pith.science/pith/4J2SJP2NEPJJA7C4VUTBDGGVH2","download_json":"https://pith.science/pith/4J2SJP2NEPJJA7C4VUTBDGGVH2.json","view_paper":"https://pith.science/paper/4J2SJP2N","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1406.4498&json=true","fetch_graph":"https://pith.science/api/pith-number/4J2SJP2NEPJJA7C4VUTBDGGVH2/graph.json","fetch_events":"https://pith.science/api/pith-number/4J2SJP2NEPJJA7C4VUTBDGGVH2/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/4J2SJP2NEPJJA7C4VUTBDGGVH2/action/timestamp_anchor","attest_storage":"https://pith.science/pith/4J2SJP2NEPJJA7C4VUTBDGGVH2/action/storage_attestation","attest_author":"https://pith.science/pith/4J2SJP2NEPJJA7C4VUTBDGGVH2/action/author_attestation","sign_citation":"https://pith.science/pith/4J2SJP2NEPJJA7C4VUTBDGGVH2/action/citation_signature","submit_replication":"https://pith.science/pith/4J2SJP2NEPJJA7C4VUTBDGGVH2/action/replication_record"}},"created_at":"2026-05-18T02:39:00.817763+00:00","updated_at":"2026-05-18T02:39:00.817763+00:00"}