{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:BZTW2EDROWXH4UGKG2ZJJXYKX4","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":"558e60eafe824f8d0182c24db6cd2d70d8d207723c6db50d188091168ee9b914","cross_cats_sorted":["cs.MA"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.AI","submitted_at":"2026-07-03T07:12:44Z","title_canon_sha256":"f0ea6929dbc826c579cf29e43ec9d4d6ab1e409a5c429fc7c9c4eac02e1d5c3c"},"schema_version":"1.0","source":{"id":"2607.03025","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.03025","created_at":"2026-07-07T01:16:40Z"},{"alias_kind":"arxiv_version","alias_value":"2607.03025v1","created_at":"2026-07-07T01:16:40Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.03025","created_at":"2026-07-07T01:16:40Z"},{"alias_kind":"pith_short_12","alias_value":"BZTW2EDROWXH","created_at":"2026-07-07T01:16:40Z"},{"alias_kind":"pith_short_16","alias_value":"BZTW2EDROWXH4UGK","created_at":"2026-07-07T01:16:40Z"},{"alias_kind":"pith_short_8","alias_value":"BZTW2EDR","created_at":"2026-07-07T01:16:40Z"}],"graph_snapshots":[{"event_id":"sha256:a4ab2de41e76a0b84305e8095731a29ec93ebd498d20520822aaab115d6fceed","target":"graph","created_at":"2026-07-07T01:16:40Z","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/2607.03025/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The use of Large Language Models (LLMs) across diverse areas of human activity-ranging from everyday tasks to safety-critical applications-aims to enhance decision-making effectiveness with minimal human feedback. Concurrently, it seeks to align decisions with human expectations, preferences, and needs while mitigating risks associated with AI non-determinism. However, humans frequently over- or under-rely on AI recommendations, and current AI systems remain poorly calibrated to human expectations. To address these challenges, we introduce a human-AI collaborative decision-making framework des","authors_text":"Andreas Kouridakis, Dimitrios Patiniotis Spyropoulos, George Vouros","cross_cats":["cs.MA"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.AI","submitted_at":"2026-07-03T07:12:44Z","title":"Human-Centric Reflective Architecture for Human-AI Collaborative Decision-Making"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.03025","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":"sha256:6da2110a37b1aa7e13d01c831ecc97d370b44c2509e246adac9e8b60aa7121ef","target":"record","created_at":"2026-07-07T01:16:40Z","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":"558e60eafe824f8d0182c24db6cd2d70d8d207723c6db50d188091168ee9b914","cross_cats_sorted":["cs.MA"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.AI","submitted_at":"2026-07-03T07:12:44Z","title_canon_sha256":"f0ea6929dbc826c579cf29e43ec9d4d6ab1e409a5c429fc7c9c4eac02e1d5c3c"},"schema_version":"1.0","source":{"id":"2607.03025","kind":"arxiv","version":1}},"canonical_sha256":"0e676d107175ae7e50ca36b294df0abf3c5ce0a0915e7c3e02aa8a7f9ad7ef58","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"0e676d107175ae7e50ca36b294df0abf3c5ce0a0915e7c3e02aa8a7f9ad7ef58","first_computed_at":"2026-07-07T01:16:40.158826Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-07T01:16:40.158826Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"mf+wNjiIxniJSBIAguBlto1i1uNQdEAmCgqeYDvCm60M5qehWsShJrRrYYqlPqR8avQjICAoOL8Y955ZF2XPCg==","signature_status":"signed_v1","signed_at":"2026-07-07T01:16:40.159259Z","signed_message":"canonical_sha256_bytes"},"source_id":"2607.03025","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:6da2110a37b1aa7e13d01c831ecc97d370b44c2509e246adac9e8b60aa7121ef","sha256:a4ab2de41e76a0b84305e8095731a29ec93ebd498d20520822aaab115d6fceed"],"state_sha256":"49172aeccf3f4101db443bdee19ee3be533e13184291a4fddbe65851fedf41dc"}