{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:SNGTESQF6BUWRYV25FWB4MQ273","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":"ee844e37b37312197c69639ffce8cbd2d446e6a447b2b023f6d5335083b9697b","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.HC","submitted_at":"2026-05-26T19:54:26Z","title_canon_sha256":"7af8f9a2849355cc3082b9dd73ee653cc6fb53af2f426b66e2bbb998d4c2659c"},"schema_version":"1.0","source":{"id":"2605.27634","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.27634","created_at":"2026-05-28T01:04:44Z"},{"alias_kind":"arxiv_version","alias_value":"2605.27634v1","created_at":"2026-05-28T01:04:44Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.27634","created_at":"2026-05-28T01:04:44Z"},{"alias_kind":"pith_short_12","alias_value":"SNGTESQF6BUW","created_at":"2026-05-28T01:04:44Z"},{"alias_kind":"pith_short_16","alias_value":"SNGTESQF6BUWRYV2","created_at":"2026-05-28T01:04:44Z"},{"alias_kind":"pith_short_8","alias_value":"SNGTESQF","created_at":"2026-05-28T01:04:44Z"}],"graph_snapshots":[{"event_id":"sha256:22f26288a7e072b912532f92671ebc26629a937e2e12b1a37c38499c18ef3602","target":"graph","created_at":"2026-05-28T01:04:44Z","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/2605.27634/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"While Large Language Models (LLMs) offer a solution to the scale-versus-depth dilemma in qualitative analysis, the paradigm of maximizing automation is fundamentally at odds with the interpretive nature of qualitative inquiry. We argue that effective Human-AI collaboration is not an automation problem, but an interdependence problem. This paper reframes the design of \"co-data\" systems through the lens of Interdependence Theory, proposing a formal framework to structure human-AI productive interdependence. The framework guides the selection of an appropriate Level of Automation (LoA) for differ","authors_text":"Ambar Murillo, Feng Zhou, Jacqueline Meijer-Irons","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.HC","submitted_at":"2026-05-26T19:54:26Z","title":"Structuring Human-AI Productive Interdependence by Strategic Level of Automation Selection for Qualitative Inquiry"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.27634","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":"sha256:1a202287e2f9f6e77c8997eafd33935d5309509734369a36f9551bcab8a0a3b3","target":"record","created_at":"2026-05-28T01:04:44Z","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":"ee844e37b37312197c69639ffce8cbd2d446e6a447b2b023f6d5335083b9697b","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.HC","submitted_at":"2026-05-26T19:54:26Z","title_canon_sha256":"7af8f9a2849355cc3082b9dd73ee653cc6fb53af2f426b66e2bbb998d4c2659c"},"schema_version":"1.0","source":{"id":"2605.27634","kind":"arxiv","version":1}},"canonical_sha256":"934d324a05f06968e2bae96c1e321afef3596e7d55675558da0a153cc6351d23","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"934d324a05f06968e2bae96c1e321afef3596e7d55675558da0a153cc6351d23","first_computed_at":"2026-05-28T01:04:44.860855Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-28T01:04:44.860855Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"5Bg3e3E4abFZCLnYwx7vZBOhudD41R1IGhCCjnTfHQHaJpRBWHxYzufYS4plU3vO0SX4T9lHbo9Dv7TItrE5Bw==","signature_status":"signed_v1","signed_at":"2026-05-28T01:04:44.861345Z","signed_message":"canonical_sha256_bytes"},"source_id":"2605.27634","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:1a202287e2f9f6e77c8997eafd33935d5309509734369a36f9551bcab8a0a3b3","sha256:22f26288a7e072b912532f92671ebc26629a937e2e12b1a37c38499c18ef3602"],"state_sha256":"c37d4618545d906a46dddf1ee93c67488eeb79526eec5956a0ca0a584ca82573"}