{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:MAOREYNSLXIZ75CI36WR773CKU","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":"83c327e8ae8b128e3a03a5e48a5da437b2d765e05c2789ed429baffc57206a22","cross_cats_sorted":["cs.AI","cs.CY"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CL","submitted_at":"2026-05-20T19:25:26Z","title_canon_sha256":"947f52a1ec028ef39e37ee1033e32295e44b49b12c840849f98f182af91c31c7"},"schema_version":"1.0","source":{"id":"2605.22880","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.22880","created_at":"2026-05-25T02:01:28Z"},{"alias_kind":"arxiv_version","alias_value":"2605.22880v1","created_at":"2026-05-25T02:01:28Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.22880","created_at":"2026-05-25T02:01:28Z"},{"alias_kind":"pith_short_12","alias_value":"MAOREYNSLXIZ","created_at":"2026-05-25T02:01:28Z"},{"alias_kind":"pith_short_16","alias_value":"MAOREYNSLXIZ75CI","created_at":"2026-05-25T02:01:28Z"},{"alias_kind":"pith_short_8","alias_value":"MAOREYNS","created_at":"2026-05-25T02:01:28Z"}],"graph_snapshots":[{"event_id":"sha256:0f2d5b8b7b3cabacb0d1caaebecc1023dad9e1663eb96ab42e851ff23754f377","target":"graph","created_at":"2026-05-25T02:01:28Z","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/2605.22880/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"As large language model (LLM)-based agents increasingly participate in online discourse, red-teaming their capacity to support political influence campaigns is critical for information integrity. In pursuit of this goal, we focus on locally deployed open-source LLMs, as opposed to frontier API-only models, given their superior alignment with the operational constraints of privacy-conscious malicious actors deployed in social media environments. We introduce an empirical red-teaming framework for measuring LLM Overton Windows (OWs), defined as the range of political opinions a model can reliabl","authors_text":"Anna Serbina, Ashwin Rao, Daniel C. Ruiz, Emilio Ferrara, Luca Luceri","cross_cats":["cs.AI","cs.CY"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CL","submitted_at":"2026-05-20T19:25:26Z","title":"How Far Will They Go? Red-Teaming Online Influence with Large Language Models"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.22880","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":"sha256:5068dd054f50fb952c8d8d023a9392b43f35695dcdd91fda365cf86197cef561","target":"record","created_at":"2026-05-25T02:01:28Z","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":"83c327e8ae8b128e3a03a5e48a5da437b2d765e05c2789ed429baffc57206a22","cross_cats_sorted":["cs.AI","cs.CY"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CL","submitted_at":"2026-05-20T19:25:26Z","title_canon_sha256":"947f52a1ec028ef39e37ee1033e32295e44b49b12c840849f98f182af91c31c7"},"schema_version":"1.0","source":{"id":"2605.22880","kind":"arxiv","version":1}},"canonical_sha256":"601d1261b25dd19ff448dfad1fff62550e037b60440b81a1dcfc433a733d57b3","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"601d1261b25dd19ff448dfad1fff62550e037b60440b81a1dcfc433a733d57b3","first_computed_at":"2026-05-25T02:01:28.406258Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-25T02:01:28.406258Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"CqSEYUPBAZr2N6RQZIqHJwFpNAf/ARJ065ZQtKa4Xf573cZ1jL6FMT6jIF1qU9lTTOOc3K8cNr5g0dod8Io+DA==","signature_status":"signed_v1","signed_at":"2026-05-25T02:01:28.407032Z","signed_message":"canonical_sha256_bytes"},"source_id":"2605.22880","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:5068dd054f50fb952c8d8d023a9392b43f35695dcdd91fda365cf86197cef561","sha256:0f2d5b8b7b3cabacb0d1caaebecc1023dad9e1663eb96ab42e851ff23754f377"],"state_sha256":"e3b10164c3f8d8d7dc47fd36a167e0cb7e0723a7a6cc647c5102dc8ca57a1b44"}