{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2015:Q4V76HUHZFVN7YYKGW35DZ2XZ5","short_pith_number":"pith:Q4V76HUH","schema_version":"1.0","canonical_sha256":"872bff1e87c96adfe30a35b7d1e757cf7055eda59ada0e1c1418b86f59cb60b3","source":{"kind":"arxiv","id":"1508.01580","version":2},"attestation_state":"computed","paper":{"title":"Automata networks for memory loss effects in the formation of linguistic conventions","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["physics.soc-ph"],"primary_cat":"cs.CL","authors_text":"Eric Goles, Javier Vera","submitted_at":"2015-08-07T01:15:23Z","abstract_excerpt":"This work attempts to give new theoretical insights to the absence of intermediate stages in the evolution of language. In particular, it is developed an automata networks approach to a crucial question: how a population of language users can reach agreement on a linguistic convention? To describe the appearance of sharp transitions in the self-organization of language, it is adopted an extremely simple model of (working) memory. At each time step, language users simply loss part of their word-memories. Through computer simulations of low-dimensional lattices, it appear sharp transitions at cr"},"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":"1508.01580","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2015-08-07T01:15:23Z","cross_cats_sorted":["physics.soc-ph"],"title_canon_sha256":"ab80b1a552d3f933945fb3ec5fe1ee8cb7ef4df0685ce1c6362272eeb43ac012","abstract_canon_sha256":"a98fe2315485d5e0eb8135f5c00bd34752b112938e27448466c976143ab1c70e"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T01:17:37.334658Z","signature_b64":"NuDmwSA7HTf2kBZ4X/lYbAhJ1cyegDOxiuKCJXax+LO7T3kLPGRfkAjtdUknypyky/G8Y2Y9eMkj+I80+8ZVBg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"872bff1e87c96adfe30a35b7d1e757cf7055eda59ada0e1c1418b86f59cb60b3","last_reissued_at":"2026-05-18T01:17:37.333966Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T01:17:37.333966Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Automata networks for memory loss effects in the formation of linguistic conventions","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["physics.soc-ph"],"primary_cat":"cs.CL","authors_text":"Eric Goles, Javier Vera","submitted_at":"2015-08-07T01:15:23Z","abstract_excerpt":"This work attempts to give new theoretical insights to the absence of intermediate stages in the evolution of language. In particular, it is developed an automata networks approach to a crucial question: how a population of language users can reach agreement on a linguistic convention? To describe the appearance of sharp transitions in the self-organization of language, it is adopted an extremely simple model of (working) memory. At each time step, language users simply loss part of their word-memories. Through computer simulations of low-dimensional lattices, it appear sharp transitions at cr"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1508.01580","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":"1508.01580","created_at":"2026-05-18T01:17:37.334071+00:00"},{"alias_kind":"arxiv_version","alias_value":"1508.01580v2","created_at":"2026-05-18T01:17:37.334071+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1508.01580","created_at":"2026-05-18T01:17:37.334071+00:00"},{"alias_kind":"pith_short_12","alias_value":"Q4V76HUHZFVN","created_at":"2026-05-18T12:29:37.295048+00:00"},{"alias_kind":"pith_short_16","alias_value":"Q4V76HUHZFVN7YYK","created_at":"2026-05-18T12:29:37.295048+00:00"},{"alias_kind":"pith_short_8","alias_value":"Q4V76HUH","created_at":"2026-05-18T12:29:37.295048+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/Q4V76HUHZFVN7YYKGW35DZ2XZ5","json":"https://pith.science/pith/Q4V76HUHZFVN7YYKGW35DZ2XZ5.json","graph_json":"https://pith.science/api/pith-number/Q4V76HUHZFVN7YYKGW35DZ2XZ5/graph.json","events_json":"https://pith.science/api/pith-number/Q4V76HUHZFVN7YYKGW35DZ2XZ5/events.json","paper":"https://pith.science/paper/Q4V76HUH"},"agent_actions":{"view_html":"https://pith.science/pith/Q4V76HUHZFVN7YYKGW35DZ2XZ5","download_json":"https://pith.science/pith/Q4V76HUHZFVN7YYKGW35DZ2XZ5.json","view_paper":"https://pith.science/paper/Q4V76HUH","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1508.01580&json=true","fetch_graph":"https://pith.science/api/pith-number/Q4V76HUHZFVN7YYKGW35DZ2XZ5/graph.json","fetch_events":"https://pith.science/api/pith-number/Q4V76HUHZFVN7YYKGW35DZ2XZ5/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/Q4V76HUHZFVN7YYKGW35DZ2XZ5/action/timestamp_anchor","attest_storage":"https://pith.science/pith/Q4V76HUHZFVN7YYKGW35DZ2XZ5/action/storage_attestation","attest_author":"https://pith.science/pith/Q4V76HUHZFVN7YYKGW35DZ2XZ5/action/author_attestation","sign_citation":"https://pith.science/pith/Q4V76HUHZFVN7YYKGW35DZ2XZ5/action/citation_signature","submit_replication":"https://pith.science/pith/Q4V76HUHZFVN7YYKGW35DZ2XZ5/action/replication_record"}},"created_at":"2026-05-18T01:17:37.334071+00:00","updated_at":"2026-05-18T01:17:37.334071+00:00"}