{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:6IS3W7MTKE6OBR2YUZR6M7LH5A","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":"9b17c1358f5adab0fd14366172b8bb728c69c5e8a57c59cfa2e69eb301210e95","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.HC","submitted_at":"2025-07-18T16:06:03Z","title_canon_sha256":"1fddfe7666da941029735b2c02c5a2e07d639885c89b58616b6fe606921d564c"},"schema_version":"1.0","source":{"id":"2507.14034","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2507.14034","created_at":"2026-07-05T11:39:27Z"},{"alias_kind":"arxiv_version","alias_value":"2507.14034v1","created_at":"2026-07-05T11:39:27Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2507.14034","created_at":"2026-07-05T11:39:27Z"},{"alias_kind":"pith_short_12","alias_value":"6IS3W7MTKE6O","created_at":"2026-07-05T11:39:27Z"},{"alias_kind":"pith_short_16","alias_value":"6IS3W7MTKE6OBR2Y","created_at":"2026-07-05T11:39:27Z"},{"alias_kind":"pith_short_8","alias_value":"6IS3W7MT","created_at":"2026-07-05T11:39:27Z"}],"graph_snapshots":[{"event_id":"sha256:9868851f6812c1b1b235eb8ff28df25f3eeb757aba440943191751f5eef2ec27","target":"graph","created_at":"2026-07-05T11:39:27Z","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/2507.14034/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Agentic AI systems, powered by Large Language Models (LLMs), offer transformative potential for value co-creation in technical services. However, persistent challenges like hallucinations and operational brittleness limit their autonomous use, creating a critical need for robust frameworks to guide human-AI collaboration. Drawing on established Human-AI teaming research and analogies from fields like autonomous driving, this paper develops a structured taxonomy of human-agent interaction. Based on case study research within technical support platforms, we propose a six-mode taxonomy that organ","authors_text":"Frank Hannich, Jochen Wulf, Jurg Meierhofer","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.HC","submitted_at":"2025-07-18T16:06:03Z","title":"Architecting Human-AI Cocreation for Technical Services -- Interaction Modes and Contingency Factors"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2507.14034","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:c434767d09eeb109596e067bcd3a5c14d50750ec324bb963007f655fcd6b8553","target":"record","created_at":"2026-07-05T11:39:27Z","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":"9b17c1358f5adab0fd14366172b8bb728c69c5e8a57c59cfa2e69eb301210e95","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.HC","submitted_at":"2025-07-18T16:06:03Z","title_canon_sha256":"1fddfe7666da941029735b2c02c5a2e07d639885c89b58616b6fe606921d564c"},"schema_version":"1.0","source":{"id":"2507.14034","kind":"arxiv","version":1}},"canonical_sha256":"f225bb7d93513ce0c758a663e67d67e815049c24de6431ce682215a787961ff2","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"f225bb7d93513ce0c758a663e67d67e815049c24de6431ce682215a787961ff2","first_computed_at":"2026-07-05T11:39:27.399116Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:39:27.399116Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"O06XP+C9Mvj+CXoRKtx0+Ahnht2he4gLqTyFJBAolsUBbZ4BKHGlV5X9qTBf5z46JwNZBbBQlhsdl51SnbqrBQ==","signature_status":"signed_v1","signed_at":"2026-07-05T11:39:27.399603Z","signed_message":"canonical_sha256_bytes"},"source_id":"2507.14034","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:c434767d09eeb109596e067bcd3a5c14d50750ec324bb963007f655fcd6b8553","sha256:9868851f6812c1b1b235eb8ff28df25f3eeb757aba440943191751f5eef2ec27"],"state_sha256":"b93099dbcfa0cbc98d57d3fde05dd4743a763679b459bf0fa1a303dbedbd75ae"}