{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:KSBTTJB2D6QGRGTCW7O3V5H7FQ","short_pith_number":"pith:KSBTTJB2","canonical_record":{"source":{"id":"2506.14645","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2025-06-17T15:41:26Z","cross_cats_sorted":["cs.CY"],"title_canon_sha256":"31bde7786436eb164487db37293a95261b2c33044ccd4e7e827a4f77a03f4c2d","abstract_canon_sha256":"51f36b31635a7853a6addbb30982f104b61cf5c082ab400eff2f6719859ba04e"},"schema_version":"1.0"},"canonical_sha256":"548339a43a1fa0689a62b7ddbaf4ff2c2dea6d3a98e2647e222942af548c7961","source":{"kind":"arxiv","id":"2506.14645","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2506.14645","created_at":"2026-07-05T11:23:00Z"},{"alias_kind":"arxiv_version","alias_value":"2506.14645v1","created_at":"2026-07-05T11:23:00Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.14645","created_at":"2026-07-05T11:23:00Z"},{"alias_kind":"pith_short_12","alias_value":"KSBTTJB2D6QG","created_at":"2026-07-05T11:23:00Z"},{"alias_kind":"pith_short_16","alias_value":"KSBTTJB2D6QGRGTC","created_at":"2026-07-05T11:23:00Z"},{"alias_kind":"pith_short_8","alias_value":"KSBTTJB2","created_at":"2026-07-05T11:23:00Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:KSBTTJB2D6QGRGTCW7O3V5H7FQ","target":"record","payload":{"canonical_record":{"source":{"id":"2506.14645","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2025-06-17T15:41:26Z","cross_cats_sorted":["cs.CY"],"title_canon_sha256":"31bde7786436eb164487db37293a95261b2c33044ccd4e7e827a4f77a03f4c2d","abstract_canon_sha256":"51f36b31635a7853a6addbb30982f104b61cf5c082ab400eff2f6719859ba04e"},"schema_version":"1.0"},"canonical_sha256":"548339a43a1fa0689a62b7ddbaf4ff2c2dea6d3a98e2647e222942af548c7961","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:23:00.115985Z","signature_b64":"DMH223wxTLq0NjmLWE/aO9gupbHLUbC5Yydo4koMX3v1slh6M3p7z8HWNbkAue4x4qUy0kNyWm4f+iq1DGUpBg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"548339a43a1fa0689a62b7ddbaf4ff2c2dea6d3a98e2647e222942af548c7961","last_reissued_at":"2026-07-05T11:23:00.115476Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:23:00.115476Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2506.14645","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T11:23:00Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"y+JJhR/v/jahE7YbSyabiM7d7rxjtvg0hyGWwvHkYTDLaFbjX4Sw2JE+P91oWHpybrkhsRwcB6RFQQ5w+2N3AQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T20:44:26.996780Z"},"content_sha256":"94c526ee9dd021c7e72b50699237ce8136f4bb5887255811848710b6b1b71c7d","schema_version":"1.0","event_id":"sha256:94c526ee9dd021c7e72b50699237ce8136f4bb5887255811848710b6b1b71c7d"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:KSBTTJB2D6QGRGTCW7O3V5H7FQ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Passing the Turing Test in Political Discourse: Fine-Tuning LLMs to Mimic Polarized Social Media Comments","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CY"],"primary_cat":"cs.CL","authors_text":"F. Deriu, L. D. Comencini, . Pazzaglia, V. Modugno, V. Vendetti","submitted_at":"2025-06-17T15:41:26Z","abstract_excerpt":"The increasing sophistication of large language models (LLMs) has sparked growing concerns regarding their potential role in exacerbating ideological polarization through the automated generation of persuasive and biased content. This study explores the extent to which fine-tuned LLMs can replicate and amplify polarizing discourse within online environments. Using a curated dataset of politically charged discussions extracted from Reddit, we fine-tune an open-source LLM to produce context-aware and ideologically aligned responses. The model's outputs are evaluated through linguistic analysis, "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.14645","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/2506.14645/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"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T11:23:00Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"cC9TyDWCFkunA3FchTR4/rhZgDNpNQpyVXRCEad8qep57HfYsQvG2WVbM93N4xeUBa9dss7X2dwpjg8Fxu4fCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T20:44:26.997661Z"},"content_sha256":"f962a0e72ca2b6e9cc04026e91990a2c27aa7cee37ec993572e86bc4fb097e23","schema_version":"1.0","event_id":"sha256:f962a0e72ca2b6e9cc04026e91990a2c27aa7cee37ec993572e86bc4fb097e23"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/KSBTTJB2D6QGRGTCW7O3V5H7FQ/bundle.json","state_url":"https://pith.science/pith/KSBTTJB2D6QGRGTCW7O3V5H7FQ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/KSBTTJB2D6QGRGTCW7O3V5H7FQ/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-08-08T20:44:27Z","links":{"resolver":"https://pith.science/pith/KSBTTJB2D6QGRGTCW7O3V5H7FQ","bundle":"https://pith.science/pith/KSBTTJB2D6QGRGTCW7O3V5H7FQ/bundle.json","state":"https://pith.science/pith/KSBTTJB2D6QGRGTCW7O3V5H7FQ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/KSBTTJB2D6QGRGTCW7O3V5H7FQ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:KSBTTJB2D6QGRGTCW7O3V5H7FQ","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"51f36b31635a7853a6addbb30982f104b61cf5c082ab400eff2f6719859ba04e","cross_cats_sorted":["cs.CY"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2025-06-17T15:41:26Z","title_canon_sha256":"31bde7786436eb164487db37293a95261b2c33044ccd4e7e827a4f77a03f4c2d"},"schema_version":"1.0","source":{"id":"2506.14645","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2506.14645","created_at":"2026-07-05T11:23:00Z"},{"alias_kind":"arxiv_version","alias_value":"2506.14645v1","created_at":"2026-07-05T11:23:00Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.14645","created_at":"2026-07-05T11:23:00Z"},{"alias_kind":"pith_short_12","alias_value":"KSBTTJB2D6QG","created_at":"2026-07-05T11:23:00Z"},{"alias_kind":"pith_short_16","alias_value":"KSBTTJB2D6QGRGTC","created_at":"2026-07-05T11:23:00Z"},{"alias_kind":"pith_short_8","alias_value":"KSBTTJB2","created_at":"2026-07-05T11:23:00Z"}],"graph_snapshots":[{"event_id":"sha256:f962a0e72ca2b6e9cc04026e91990a2c27aa7cee37ec993572e86bc4fb097e23","target":"graph","created_at":"2026-07-05T11:23:00Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2506.14645/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The increasing sophistication of large language models (LLMs) has sparked growing concerns regarding their potential role in exacerbating ideological polarization through the automated generation of persuasive and biased content. This study explores the extent to which fine-tuned LLMs can replicate and amplify polarizing discourse within online environments. Using a curated dataset of politically charged discussions extracted from Reddit, we fine-tune an open-source LLM to produce context-aware and ideologically aligned responses. The model's outputs are evaluated through linguistic analysis, ","authors_text":"F. Deriu, L. D. Comencini, . Pazzaglia, V. Modugno, V. Vendetti","cross_cats":["cs.CY"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2025-06-17T15:41:26Z","title":"Passing the Turing Test in Political Discourse: Fine-Tuning LLMs to Mimic Polarized Social Media Comments"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.14645","kind":"arxiv","version":1},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:94c526ee9dd021c7e72b50699237ce8136f4bb5887255811848710b6b1b71c7d","target":"record","created_at":"2026-07-05T11:23:00Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"51f36b31635a7853a6addbb30982f104b61cf5c082ab400eff2f6719859ba04e","cross_cats_sorted":["cs.CY"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2025-06-17T15:41:26Z","title_canon_sha256":"31bde7786436eb164487db37293a95261b2c33044ccd4e7e827a4f77a03f4c2d"},"schema_version":"1.0","source":{"id":"2506.14645","kind":"arxiv","version":1}},"canonical_sha256":"548339a43a1fa0689a62b7ddbaf4ff2c2dea6d3a98e2647e222942af548c7961","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"548339a43a1fa0689a62b7ddbaf4ff2c2dea6d3a98e2647e222942af548c7961","first_computed_at":"2026-07-05T11:23:00.115476Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:23:00.115476Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"DMH223wxTLq0NjmLWE/aO9gupbHLUbC5Yydo4koMX3v1slh6M3p7z8HWNbkAue4x4qUy0kNyWm4f+iq1DGUpBg==","signature_status":"signed_v1","signed_at":"2026-07-05T11:23:00.115985Z","signed_message":"canonical_sha256_bytes"},"source_id":"2506.14645","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:94c526ee9dd021c7e72b50699237ce8136f4bb5887255811848710b6b1b71c7d","sha256:f962a0e72ca2b6e9cc04026e91990a2c27aa7cee37ec993572e86bc4fb097e23"],"state_sha256":"71a98d6c1efd090aa0dd9e16747b1cf494a02001f8ff1e96c299109ac49a756f"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"jV5RBOe1OcwBaC++yv3ZM4DOkGCJ1cwa+fmmieK4CHlNqoOwNRXng/ANoDczmzqjkTAQowI/HaS18kUnmnLnAQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-08T20:44:27.006469Z","bundle_sha256":"84dac08ff15dd9d2ba7f5f881a45f4db93859a73855f04530e63b791e3c5c02a"}}