{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2024:LWXLSBBF7GRNGVPUQSQKGYHFJS","short_pith_number":"pith:LWXLSBBF","schema_version":"1.0","canonical_sha256":"5daeb90425f9a2d355f484a0a360e54cb7b9f1c1bde0754f19f238876060e818","source":{"kind":"arxiv","id":"2405.02858","version":1},"attestation_state":"computed","paper":{"title":"Language Evolution for Evading Social Media Regulation via LLM-based Multi-agent Simulation","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.CL"],"primary_cat":"cs.SI","authors_text":"Chen-Shu Wang, Jialong Li, Jinyu Cai, Kenji Tei, Mingyue Zhang, Munan Li","submitted_at":"2024-05-05T09:02:54Z","abstract_excerpt":"Social media platforms such as Twitter, Reddit, and Sina Weibo play a crucial role in global communication but often encounter strict regulations in geopolitically sensitive regions. This situation has prompted users to ingeniously modify their way of communicating, frequently resorting to coded language in these regulated social media environments. This shift in communication is not merely a strategy to counteract regulation, but a vivid manifestation of language evolution, demonstrating how language naturally evolves under societal and technological pressures. Studying the evolution of langu"},"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":"2405.02858","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SI","submitted_at":"2024-05-05T09:02:54Z","cross_cats_sorted":["cs.CL"],"title_canon_sha256":"006ba85a9fa453d81468080d6a92c6340211dd66c7793effd596d200ecae9393","abstract_canon_sha256":"457947400da14d18e18312234cfdcdaf3496dfc3a42c1d22dfe68048986bdf32"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:15:54.969719Z","signature_b64":"Z8XhHTTwJIjAusTW2FH8fyBjIVg0W6riUbNgEIsnoTHpusQYL3/b1tlpRHCVX+E4Lked6OClA9rvvVI6QSqgAw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"5daeb90425f9a2d355f484a0a360e54cb7b9f1c1bde0754f19f238876060e818","last_reissued_at":"2026-07-05T08:15:54.969173Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:15:54.969173Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Language Evolution for Evading Social Media Regulation via LLM-based Multi-agent Simulation","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.CL"],"primary_cat":"cs.SI","authors_text":"Chen-Shu Wang, Jialong Li, Jinyu Cai, Kenji Tei, Mingyue Zhang, Munan Li","submitted_at":"2024-05-05T09:02:54Z","abstract_excerpt":"Social media platforms such as Twitter, Reddit, and Sina Weibo play a crucial role in global communication but often encounter strict regulations in geopolitically sensitive regions. This situation has prompted users to ingeniously modify their way of communicating, frequently resorting to coded language in these regulated social media environments. This shift in communication is not merely a strategy to counteract regulation, but a vivid manifestation of language evolution, demonstrating how language naturally evolves under societal and technological pressures. Studying the evolution of langu"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2405.02858","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/2405.02858/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":"2405.02858","created_at":"2026-07-05T08:15:54.969238+00:00"},{"alias_kind":"arxiv_version","alias_value":"2405.02858v1","created_at":"2026-07-05T08:15:54.969238+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2405.02858","created_at":"2026-07-05T08:15:54.969238+00:00"},{"alias_kind":"pith_short_12","alias_value":"LWXLSBBF7GRN","created_at":"2026-07-05T08:15:54.969238+00:00"},{"alias_kind":"pith_short_16","alias_value":"LWXLSBBF7GRNGVPU","created_at":"2026-07-05T08:15:54.969238+00:00"},{"alias_kind":"pith_short_8","alias_value":"LWXLSBBF","created_at":"2026-07-05T08:15:54.969238+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":1,"internal_anchor_count":0,"sample":[{"citing_arxiv_id":"2605.11268","citing_title":"Context-Aware Spear Phishing: Generative AI-Enabled Attacks Against Individuals via Public Social Media Data","ref_index":24,"is_internal_anchor":false}]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/LWXLSBBF7GRNGVPUQSQKGYHFJS","json":"https://pith.science/pith/LWXLSBBF7GRNGVPUQSQKGYHFJS.json","graph_json":"https://pith.science/api/pith-number/LWXLSBBF7GRNGVPUQSQKGYHFJS/graph.json","events_json":"https://pith.science/api/pith-number/LWXLSBBF7GRNGVPUQSQKGYHFJS/events.json","paper":"https://pith.science/paper/LWXLSBBF"},"agent_actions":{"view_html":"https://pith.science/pith/LWXLSBBF7GRNGVPUQSQKGYHFJS","download_json":"https://pith.science/pith/LWXLSBBF7GRNGVPUQSQKGYHFJS.json","view_paper":"https://pith.science/paper/LWXLSBBF","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2405.02858&json=true","fetch_graph":"https://pith.science/api/pith-number/LWXLSBBF7GRNGVPUQSQKGYHFJS/graph.json","fetch_events":"https://pith.science/api/pith-number/LWXLSBBF7GRNGVPUQSQKGYHFJS/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/LWXLSBBF7GRNGVPUQSQKGYHFJS/action/timestamp_anchor","attest_storage":"https://pith.science/pith/LWXLSBBF7GRNGVPUQSQKGYHFJS/action/storage_attestation","attest_author":"https://pith.science/pith/LWXLSBBF7GRNGVPUQSQKGYHFJS/action/author_attestation","sign_citation":"https://pith.science/pith/LWXLSBBF7GRNGVPUQSQKGYHFJS/action/citation_signature","submit_replication":"https://pith.science/pith/LWXLSBBF7GRNGVPUQSQKGYHFJS/action/replication_record"}},"created_at":"2026-07-05T08:15:54.969238+00:00","updated_at":"2026-07-05T08:15:54.969238+00:00"}