{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2023:CTBBL25J6RM4D6CXTBLIYQVJKK","short_pith_number":"pith:CTBBL25J","schema_version":"1.0","canonical_sha256":"14c215eba9f459c1f85798568c42a9528849b770926973be01e63f416c1e98ba","source":{"kind":"arxiv","id":"2312.06619","version":1},"attestation_state":"computed","paper":{"title":"Emergence of Scale-Free Networks in Social Interactions among Large Language Models","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CY"],"primary_cat":"physics.soc-ph","authors_text":"David Garcia, Giordano De Marzo, Luciano Pietronero","submitted_at":"2023-12-11T18:43:16Z","abstract_excerpt":"Scale-free networks are one of the most famous examples of emergent behavior and are ubiquitous in social systems, especially online social media in which users can follow each other. By analyzing the interactions of multiple generative agents using GPT3.5-turbo as a language model, we demonstrate their ability to not only mimic individual human linguistic behavior but also exhibit collective phenomena intrinsic to human societies, in particular the emergence of scale-free networks. We discovered that this process is disrupted by a skewed token prior distribution of GPT3.5-turbo, which can lea"},"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":"2312.06619","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"physics.soc-ph","submitted_at":"2023-12-11T18:43:16Z","cross_cats_sorted":["cs.CY"],"title_canon_sha256":"94563b3dd054e5346b69ed4d3bb7ebe59846f2f70867315008d9334c4a6fb338","abstract_canon_sha256":"9aaff7e2a542e6b95d21ba6a2664fade07a3e80b79d9484c167f6bb6add86d13"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T07:22:47.889792Z","signature_b64":"vaX1cl1+haSu2RYAjP1fRUMusMbUFfkbLtw3krhSm4DDNCeoa7JD7ebT1hmwu1UMCSk/9r+OTzTHxbO4ASxyDA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"14c215eba9f459c1f85798568c42a9528849b770926973be01e63f416c1e98ba","last_reissued_at":"2026-07-05T07:22:47.889342Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T07:22:47.889342Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Emergence of Scale-Free Networks in Social Interactions among Large Language Models","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CY"],"primary_cat":"physics.soc-ph","authors_text":"David Garcia, Giordano De Marzo, Luciano Pietronero","submitted_at":"2023-12-11T18:43:16Z","abstract_excerpt":"Scale-free networks are one of the most famous examples of emergent behavior and are ubiquitous in social systems, especially online social media in which users can follow each other. By analyzing the interactions of multiple generative agents using GPT3.5-turbo as a language model, we demonstrate their ability to not only mimic individual human linguistic behavior but also exhibit collective phenomena intrinsic to human societies, in particular the emergence of scale-free networks. We discovered that this process is disrupted by a skewed token prior distribution of GPT3.5-turbo, which can lea"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2312.06619","kind":"arxiv","version":1},"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/2312.06619/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":"2312.06619","created_at":"2026-07-05T07:22:47.889398+00:00"},{"alias_kind":"arxiv_version","alias_value":"2312.06619v1","created_at":"2026-07-05T07:22:47.889398+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2312.06619","created_at":"2026-07-05T07:22:47.889398+00:00"},{"alias_kind":"pith_short_12","alias_value":"CTBBL25J6RM4","created_at":"2026-07-05T07:22:47.889398+00:00"},{"alias_kind":"pith_short_16","alias_value":"CTBBL25J6RM4D6CX","created_at":"2026-07-05T07:22:47.889398+00:00"},{"alias_kind":"pith_short_8","alias_value":"CTBBL25J","created_at":"2026-07-05T07:22:47.889398+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":7,"internal_anchor_count":0,"sample":[{"citing_arxiv_id":"2509.06858","citing_title":"Disentangling Interaction and Bias Effects in Opinion Dynamics of Large Language Models","ref_index":44,"is_internal_anchor":false},{"citing_arxiv_id":"2605.12824","citing_title":"Mechanism Plausibility in Generative Agent-Based Modeling","ref_index":55,"is_internal_anchor":false},{"citing_arxiv_id":"2509.18052","citing_title":"The PIMMUR Principles: Ensuring Validity in Collective Behavior of LLM Societies","ref_index":8,"is_internal_anchor":false},{"citing_arxiv_id":"2605.12824","citing_title":"Mechanism Plausibility in Generative Agent-Based Modeling","ref_index":55,"is_internal_anchor":false},{"citing_arxiv_id":"2605.10721","citing_title":"Conformity Generates Collective Misalignment in AI Agents Societies","ref_index":25,"is_internal_anchor":false},{"citing_arxiv_id":"2604.11312","citing_title":"Network Effects and Agreement Drift in LLM Debates","ref_index":50,"is_internal_anchor":false},{"citing_arxiv_id":"2604.15236","citing_title":"Agentic Microphysics: A Manifesto for Generative AI Safety","ref_index":12,"is_internal_anchor":false}]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/CTBBL25J6RM4D6CXTBLIYQVJKK","json":"https://pith.science/pith/CTBBL25J6RM4D6CXTBLIYQVJKK.json","graph_json":"https://pith.science/api/pith-number/CTBBL25J6RM4D6CXTBLIYQVJKK/graph.json","events_json":"https://pith.science/api/pith-number/CTBBL25J6RM4D6CXTBLIYQVJKK/events.json","paper":"https://pith.science/paper/CTBBL25J"},"agent_actions":{"view_html":"https://pith.science/pith/CTBBL25J6RM4D6CXTBLIYQVJKK","download_json":"https://pith.science/pith/CTBBL25J6RM4D6CXTBLIYQVJKK.json","view_paper":"https://pith.science/paper/CTBBL25J","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2312.06619&json=true","fetch_graph":"https://pith.science/api/pith-number/CTBBL25J6RM4D6CXTBLIYQVJKK/graph.json","fetch_events":"https://pith.science/api/pith-number/CTBBL25J6RM4D6CXTBLIYQVJKK/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/CTBBL25J6RM4D6CXTBLIYQVJKK/action/timestamp_anchor","attest_storage":"https://pith.science/pith/CTBBL25J6RM4D6CXTBLIYQVJKK/action/storage_attestation","attest_author":"https://pith.science/pith/CTBBL25J6RM4D6CXTBLIYQVJKK/action/author_attestation","sign_citation":"https://pith.science/pith/CTBBL25J6RM4D6CXTBLIYQVJKK/action/citation_signature","submit_replication":"https://pith.science/pith/CTBBL25J6RM4D6CXTBLIYQVJKK/action/replication_record"}},"created_at":"2026-07-05T07:22:47.889398+00:00","updated_at":"2026-07-05T07:22:47.889398+00:00"}