{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:4UB7L3ZC7IPNQVJGSIWYZNQ55F","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":"a46f8993ff75303577d5d619961cc1311760afae902daac6a5217601709a5c39","cross_cats_sorted":["cs.SE"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"math.OC","submitted_at":"2026-05-26T19:49:41Z","title_canon_sha256":"7a4129cf0ed7460f168d2c9a3e06374e588d1ae96fe2473319b06518550b6f85"},"schema_version":"1.0","source":{"id":"2605.27630","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.27630","created_at":"2026-05-28T01:04:44Z"},{"alias_kind":"arxiv_version","alias_value":"2605.27630v1","created_at":"2026-05-28T01:04:44Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.27630","created_at":"2026-05-28T01:04:44Z"},{"alias_kind":"pith_short_12","alias_value":"4UB7L3ZC7IPN","created_at":"2026-05-28T01:04:44Z"},{"alias_kind":"pith_short_16","alias_value":"4UB7L3ZC7IPNQVJG","created_at":"2026-05-28T01:04:44Z"},{"alias_kind":"pith_short_8","alias_value":"4UB7L3ZC","created_at":"2026-05-28T01:04:44Z"}],"graph_snapshots":[{"event_id":"sha256:42bc233a8bbdb51e462002ae2f4ca6399129ef8be47d0303fad6cdde7b15893b","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/2605.27630/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Many decentralized decision problems require multiple parties to coordinate on shared decisions while keeping objectives, constraints, and data private. Large language models (LLMs) offer a promising way to lower the barrier to participation by generating local optimization agents from natural-language specifications. In coordination settings, however, executability is not enough: a generated agent may compile, solve, and pass local checks while still being semantically wrong, for example by misrepresenting costs, mis-scoping constraints, or responding incorrectly to incentives. Such errors of","authors_text":"Thi Dinh, Yujia Xu, Zhiheng Wang","cross_cats":["cs.SE"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"math.OC","submitted_at":"2026-05-26T19:49:41Z","title":"OptiLoop: Coordination-in-the-Loop Verification and Repair for LLM-Generated Optimization Agents"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.27630","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":"sha256:52f30f0ae9bcd52021cfdcd9b92029441c163eb1b1d4475d438a68febc2ec18a","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":"a46f8993ff75303577d5d619961cc1311760afae902daac6a5217601709a5c39","cross_cats_sorted":["cs.SE"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"math.OC","submitted_at":"2026-05-26T19:49:41Z","title_canon_sha256":"7a4129cf0ed7460f168d2c9a3e06374e588d1ae96fe2473319b06518550b6f85"},"schema_version":"1.0","source":{"id":"2605.27630","kind":"arxiv","version":1}},"canonical_sha256":"e503f5ef22fa1ed85526922d8cb61de97f3a06b2a70f3b3c0203817391f9f5b1","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"e503f5ef22fa1ed85526922d8cb61de97f3a06b2a70f3b3c0203817391f9f5b1","first_computed_at":"2026-05-28T01:04:44.764101Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-28T01:04:44.764101Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"O+1jggykxjIgM08hYUzMeh9PirzuToB1kv0UpqelF9pamc4MvFBqqRodnyojj4Wg3yVMKgCDPcjljkLVntRsDg==","signature_status":"signed_v1","signed_at":"2026-05-28T01:04:44.764629Z","signed_message":"canonical_sha256_bytes"},"source_id":"2605.27630","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:52f30f0ae9bcd52021cfdcd9b92029441c163eb1b1d4475d438a68febc2ec18a","sha256:42bc233a8bbdb51e462002ae2f4ca6399129ef8be47d0303fad6cdde7b15893b"],"state_sha256":"43997fb3cfbae5bd4778fc29cf0925640f80a4eb3ce0d0e87fe2ec294eef2771"}