{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:PEIO2CT3QREHN4KIH655FFK76T","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":"431a5e908afd7bd1e11034b6f5204f3e7c9f1f9a05a466870f5168de0f3427ad","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2026-05-26T09:54:53Z","title_canon_sha256":"68f66a1f04c2f0fb6842fa0689d5fa731cfe5d4ce2396f0e61381f2b017aa5b0"},"schema_version":"1.0","source":{"id":"2605.26785","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.26785","created_at":"2026-05-27T01:06:12Z"},{"alias_kind":"arxiv_version","alias_value":"2605.26785v1","created_at":"2026-05-27T01:06:12Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.26785","created_at":"2026-05-27T01:06:12Z"},{"alias_kind":"pith_short_12","alias_value":"PEIO2CT3QREH","created_at":"2026-05-27T01:06:12Z"},{"alias_kind":"pith_short_16","alias_value":"PEIO2CT3QREHN4KI","created_at":"2026-05-27T01:06:12Z"},{"alias_kind":"pith_short_8","alias_value":"PEIO2CT3","created_at":"2026-05-27T01:06:12Z"}],"graph_snapshots":[{"event_id":"sha256:cbbf28d2c11fbdc8260fa5978de880ee8bc1d8ed423a4125605c2b26f461f4a7","target":"graph","created_at":"2026-05-27T01:06:12Z","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/2605.26785/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Post-trained LLMs are often optimized to align responses with human preferences, making them safe, polite, and conversationally appropriate. In adversarial negotiation, however, this alignment can become a vulnerability: emotionally framed language may steer agents toward the counterparty's interests. Using GoEmotions-based affective prompting, we show that emotion substantially shifts negotiation outcomes, suggesting that emotion is a strategic action channel rather than a surface style. Thus, we introduce \\textbf{EmoDistill}, an offline framework for distilling emotional negotiation skills i","authors_text":"Alexandra Brintrup, Haolang Zhao, Liming Xu, Lukas Beckenbauer, Yunbo Long","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2026-05-26T09:54:53Z","title":"EmoDistill: Offline Emotion Skill Distillation for Language Model Agents in Adversarial Negotiation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.26785","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:ff95f500be1261da115a0d523dcf315e68a7903270a781eea7a3c4ff7e00acc8","target":"record","created_at":"2026-05-27T01:06:12Z","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":"431a5e908afd7bd1e11034b6f5204f3e7c9f1f9a05a466870f5168de0f3427ad","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2026-05-26T09:54:53Z","title_canon_sha256":"68f66a1f04c2f0fb6842fa0689d5fa731cfe5d4ce2396f0e61381f2b017aa5b0"},"schema_version":"1.0","source":{"id":"2605.26785","kind":"arxiv","version":1}},"canonical_sha256":"7910ed0a7b844876f1483fbbd2955ff4d56be5d983036c5d58389ffc8aef6bd0","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"7910ed0a7b844876f1483fbbd2955ff4d56be5d983036c5d58389ffc8aef6bd0","first_computed_at":"2026-05-27T01:06:12.580674Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-27T01:06:12.580674Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"KQqpSt2NXgdLCvIWdY6/5MA8uEx1CwkIJ0ixvDs5hKHcSca7k5nJ0Dm62VU6WXbRonuMz2r9suCT+TBkXK/wDA==","signature_status":"signed_v1","signed_at":"2026-05-27T01:06:12.581368Z","signed_message":"canonical_sha256_bytes"},"source_id":"2605.26785","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:ff95f500be1261da115a0d523dcf315e68a7903270a781eea7a3c4ff7e00acc8","sha256:cbbf28d2c11fbdc8260fa5978de880ee8bc1d8ed423a4125605c2b26f461f4a7"],"state_sha256":"67aca9f5ed230ff2a7ea47f1fa91610f872b834c9f0f3b9dd44132457d34adda"}