{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:PAFC6XUMVQHMEKURHLTV2J2YIZ","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":"dc8d8185a7ce308794d24d4330eb6dcd54788b0059ebd5a6781e684e6f426d0f","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2026-06-09T15:53:40Z","title_canon_sha256":"6a32480f2ed4a4a96972308e94583c9603283935b9b50ec10248655cda2c4c97"},"schema_version":"1.0","source":{"id":"2606.11015","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.11015","created_at":"2026-06-10T01:11:03Z"},{"alias_kind":"arxiv_version","alias_value":"2606.11015v1","created_at":"2026-06-10T01:11:03Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.11015","created_at":"2026-06-10T01:11:03Z"},{"alias_kind":"pith_short_12","alias_value":"PAFC6XUMVQHM","created_at":"2026-06-10T01:11:03Z"},{"alias_kind":"pith_short_16","alias_value":"PAFC6XUMVQHMEKUR","created_at":"2026-06-10T01:11:03Z"},{"alias_kind":"pith_short_8","alias_value":"PAFC6XUM","created_at":"2026-06-10T01:11:03Z"}],"graph_snapshots":[{"event_id":"sha256:ecad40af4aefe2d4ffd04a2d7ac8c13496d2ca5996380f96e591391dc7cfe59d","target":"graph","created_at":"2026-06-10T01:11:03Z","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/2606.11015/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Tuning controllers for strongly coupled multi-input multi-output (MIMO) industrial processes is hard: decentralized classical auto-tuning ignores loop interaction, and local numerical optimization from natural initializations stalls in the resulting non-convex cost landscape. We ask whether on-premise open-source large language models (LLMs), which keep data on-site and need no plant model, can help. On a single-loop CSTR, classical relay-feedback tuning (IAE 0.106, near the 0.102 optimum) beats an LLM tuner (0.162): for simple loops the LLM adds nothing. The picture inverts on a strongly coup","authors_text":"Haonan Li, Jiaxuan Chen, Yang Shu","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2026-06-09T15:53:40Z","title":"Structure from Reasoning, Numbers from Search: On-Premise Open LLMs as Structural Priors for Coupled MIMO Controller Tuning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.11015","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":"sha256:8004449e1e883bb3e8d3e38159255b8a87772f55b2a4428618b644a41800913b","target":"record","created_at":"2026-06-10T01:11:03Z","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":"dc8d8185a7ce308794d24d4330eb6dcd54788b0059ebd5a6781e684e6f426d0f","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2026-06-09T15:53:40Z","title_canon_sha256":"6a32480f2ed4a4a96972308e94583c9603283935b9b50ec10248655cda2c4c97"},"schema_version":"1.0","source":{"id":"2606.11015","kind":"arxiv","version":1}},"canonical_sha256":"780a2f5e8cac0ec22a913ae75d2758466881dff4b18172689e8707c302ff8fe4","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"780a2f5e8cac0ec22a913ae75d2758466881dff4b18172689e8707c302ff8fe4","first_computed_at":"2026-06-10T01:11:03.794534Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-10T01:11:03.794534Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"7v0bHOnl03BGixkLOqjJOK5jkzzKmmGSsZNJZt+u8rxoUBKxzjJdqY+/m8fePfJ6EzkBNgrCg+GOgX5xn85/AA==","signature_status":"signed_v1","signed_at":"2026-06-10T01:11:03.795471Z","signed_message":"canonical_sha256_bytes"},"source_id":"2606.11015","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:8004449e1e883bb3e8d3e38159255b8a87772f55b2a4428618b644a41800913b","sha256:ecad40af4aefe2d4ffd04a2d7ac8c13496d2ca5996380f96e591391dc7cfe59d"],"state_sha256":"3efb8c05fcac885331bc316028a566918335f676fc718bf2fd5d1d9251ca1533"}