{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2024:M5UOFRBYJW3ROKAYIP42RUQH7L","short_pith_number":"pith:M5UOFRBY","schema_version":"1.0","canonical_sha256":"6768e2c4384db717281843f9a8d207facfa2cfa6382cf5142319436940cf05cd","source":{"kind":"arxiv","id":"2409.01754","version":3},"attestation_state":"computed","paper":{"title":"Empirical evidence of Large Language Model's influence on human spoken communication","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI","cs.CL","cs.HC"],"primary_cat":"cs.CY","authors_text":"Ezequiel Lopez-Lopez, Hiromu Yakura, Ignacio Serna, Ivan Soraperra, Iyad Rahwan, Levin Brinkmann, Prateek Gupta","submitted_at":"2024-09-03T10:01:51Z","abstract_excerpt":"From the invention of writing and the printing press, to television and social media, human history is punctuated by major innovations in communication technology, which fundamentally altered how ideas spread and reshaped our culture. Recent chatbots powered by generative artificial intelligence constitute a novel medium that encodes cultural patterns in their neural representations and disseminates them in conversations with hundreds of millions of people. Understanding whether these patterns transmit into human language, and ultimately shape human culture, is a fundamental question. While fu"},"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":"2409.01754","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CY","submitted_at":"2024-09-03T10:01:51Z","cross_cats_sorted":["cs.AI","cs.CL","cs.HC"],"title_canon_sha256":"96a29595b603b53726f978137276f63c05c20f42d8df55ec9eaf97a9b0991030","abstract_canon_sha256":"ba77bb98f2093d9904847c203a0a9641b583cf7a5f97d677a5c70c6b779f00d5"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:33:15.953128Z","signature_b64":"b/jWf9aDrWsaymikDxMjsikvYb02DswQvhYRqT8B7iyWQTndjf/vgcM3Jmr9Z/arJbYqHf2baUEXvuH8D9HVBA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"6768e2c4384db717281843f9a8d207facfa2cfa6382cf5142319436940cf05cd","last_reissued_at":"2026-07-05T11:33:15.952679Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:33:15.952679Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Empirical evidence of Large Language Model's influence on human spoken communication","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI","cs.CL","cs.HC"],"primary_cat":"cs.CY","authors_text":"Ezequiel Lopez-Lopez, Hiromu Yakura, Ignacio Serna, Ivan Soraperra, Iyad Rahwan, Levin Brinkmann, Prateek Gupta","submitted_at":"2024-09-03T10:01:51Z","abstract_excerpt":"From the invention of writing and the printing press, to television and social media, human history is punctuated by major innovations in communication technology, which fundamentally altered how ideas spread and reshaped our culture. Recent chatbots powered by generative artificial intelligence constitute a novel medium that encodes cultural patterns in their neural representations and disseminates them in conversations with hundreds of millions of people. Understanding whether these patterns transmit into human language, and ultimately shape human culture, is a fundamental question. While fu"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2409.01754","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/2409.01754/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":"2409.01754","created_at":"2026-07-05T11:33:15.952736+00:00"},{"alias_kind":"arxiv_version","alias_value":"2409.01754v3","created_at":"2026-07-05T11:33:15.952736+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2409.01754","created_at":"2026-07-05T11:33:15.952736+00:00"},{"alias_kind":"pith_short_12","alias_value":"M5UOFRBYJW3R","created_at":"2026-07-05T11:33:15.952736+00:00"},{"alias_kind":"pith_short_16","alias_value":"M5UOFRBYJW3ROKAY","created_at":"2026-07-05T11:33:15.952736+00:00"},{"alias_kind":"pith_short_8","alias_value":"M5UOFRBY","created_at":"2026-07-05T11:33:15.952736+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":9,"internal_anchor_count":9,"sample":[{"citing_arxiv_id":"2606.27052","citing_title":"Human--LLM Collaboration Is Transforming Complexity Metrics in Scientific Texts","ref_index":13,"is_internal_anchor":true},{"citing_arxiv_id":"2606.11058","citing_title":"The social consequences of AI delegation","ref_index":40,"is_internal_anchor":true},{"citing_arxiv_id":"2607.01006","citing_title":"Understanding Large Language Models","ref_index":20,"is_internal_anchor":true},{"citing_arxiv_id":"2607.00403","citing_title":"A Penny for Your Prompts: Experiments Detecting and Mitigating LLM Usage by Survey Respondents","ref_index":81,"is_internal_anchor":true},{"citing_arxiv_id":"2606.00334","citing_title":"Isolating LLM Lexical Bias: A Curation-Free Triangulated Metric for Preference-Stage Learning","ref_index":22,"is_internal_anchor":true},{"citing_arxiv_id":"2506.08872","citing_title":"Your Brain on ChatGPT: Accumulation of Cognitive Debt when Using an AI Assistant for Essay Writing Task","ref_index":133,"is_internal_anchor":true},{"citing_arxiv_id":"2605.11206","citing_title":"Instructions Shape Production of Language, not Processing","ref_index":219,"is_internal_anchor":true},{"citing_arxiv_id":"2605.11206","citing_title":"Instructions Shape Production of Language, not Processing","ref_index":219,"is_internal_anchor":true},{"citing_arxiv_id":"2604.21853","citing_title":"Generative artificial intelligence reduces social welfare through model collapse","ref_index":64,"is_internal_anchor":true}]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/M5UOFRBYJW3ROKAYIP42RUQH7L","json":"https://pith.science/pith/M5UOFRBYJW3ROKAYIP42RUQH7L.json","graph_json":"https://pith.science/api/pith-number/M5UOFRBYJW3ROKAYIP42RUQH7L/graph.json","events_json":"https://pith.science/api/pith-number/M5UOFRBYJW3ROKAYIP42RUQH7L/events.json","paper":"https://pith.science/paper/M5UOFRBY"},"agent_actions":{"view_html":"https://pith.science/pith/M5UOFRBYJW3ROKAYIP42RUQH7L","download_json":"https://pith.science/pith/M5UOFRBYJW3ROKAYIP42RUQH7L.json","view_paper":"https://pith.science/paper/M5UOFRBY","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2409.01754&json=true","fetch_graph":"https://pith.science/api/pith-number/M5UOFRBYJW3ROKAYIP42RUQH7L/graph.json","fetch_events":"https://pith.science/api/pith-number/M5UOFRBYJW3ROKAYIP42RUQH7L/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/M5UOFRBYJW3ROKAYIP42RUQH7L/action/timestamp_anchor","attest_storage":"https://pith.science/pith/M5UOFRBYJW3ROKAYIP42RUQH7L/action/storage_attestation","attest_author":"https://pith.science/pith/M5UOFRBYJW3ROKAYIP42RUQH7L/action/author_attestation","sign_citation":"https://pith.science/pith/M5UOFRBYJW3ROKAYIP42RUQH7L/action/citation_signature","submit_replication":"https://pith.science/pith/M5UOFRBYJW3ROKAYIP42RUQH7L/action/replication_record"}},"created_at":"2026-07-05T11:33:15.952736+00:00","updated_at":"2026-07-05T11:33:15.952736+00:00"}