{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:SHD2RO5V5LEKSQIV65QABV6QJW","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":"be6dabbd19730c3fd7c0435e77695d2031b3e111ccea63f4e19b8def4c18d6b6","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2026-05-20T22:21:29Z","title_canon_sha256":"d007cea4f4293527558b8bb1d14e098169850680db11ecf13a5ce11e3fb8d17e"},"schema_version":"1.0","source":{"id":"2605.21781","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.21781","created_at":"2026-05-22T01:03:32Z"},{"alias_kind":"arxiv_version","alias_value":"2605.21781v1","created_at":"2026-05-22T01:03:32Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.21781","created_at":"2026-05-22T01:03:32Z"},{"alias_kind":"pith_short_12","alias_value":"SHD2RO5V5LEK","created_at":"2026-05-22T01:03:32Z"},{"alias_kind":"pith_short_16","alias_value":"SHD2RO5V5LEKSQIV","created_at":"2026-05-22T01:03:32Z"},{"alias_kind":"pith_short_8","alias_value":"SHD2RO5V","created_at":"2026-05-22T01:03:32Z"}],"graph_snapshots":[{"event_id":"sha256:6d6804d1e4b29fe6d0b7ecc1b0a9af515b760ac90e4d973ae928de1267c530f1","target":"graph","created_at":"2026-05-22T01:03:32Z","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/2605.21781/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Large language models (LLMs) have become increasingly capable of following instructions and complex reasoning, making prompting a flexible interface for adapting models without parameter updates. Yet prompt design remains labor-intensive and highly sensitive to formatting, phrasing, and instruction order, motivating automated prompt optimization methods that reduce manual effort while preserving inference-time flexibility. However, existing methods often search over prompt candidates or use fixed critique-refine pipelines driven by individual examples or small batches, limiting their ability t","authors_text":"Estevam Hruschka, Farima Fatahi Bayat, Moin Aminnaseri, Pouya Pezeshkpour","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2026-05-20T22:21:29Z","title":"Reflective Prompt Tuning through Language Model Function-Calling"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.21781","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":"sha256:5b14945e114de87f9cfca563483077ae4c9760ea6a05f1ec54ee6cd2d141d9ed","target":"record","created_at":"2026-05-22T01:03:32Z","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":"be6dabbd19730c3fd7c0435e77695d2031b3e111ccea63f4e19b8def4c18d6b6","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2026-05-20T22:21:29Z","title_canon_sha256":"d007cea4f4293527558b8bb1d14e098169850680db11ecf13a5ce11e3fb8d17e"},"schema_version":"1.0","source":{"id":"2605.21781","kind":"arxiv","version":1}},"canonical_sha256":"91c7a8bbb5eac8a94115f76000d7d04daf047e8ea9a01ab2355c2933ceac75bb","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"91c7a8bbb5eac8a94115f76000d7d04daf047e8ea9a01ab2355c2933ceac75bb","first_computed_at":"2026-05-22T01:03:32.287987Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-22T01:03:32.287987Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"qvO9fD3ud4Ts4eQaG4hOCDoLC/v4IC+EAS2N970XlxDlPW/SvhFidjYqxYGSiMiy+sLobn5Zfp0MgubUB7b8AA==","signature_status":"signed_v1","signed_at":"2026-05-22T01:03:32.288592Z","signed_message":"canonical_sha256_bytes"},"source_id":"2605.21781","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:5b14945e114de87f9cfca563483077ae4c9760ea6a05f1ec54ee6cd2d141d9ed","sha256:6d6804d1e4b29fe6d0b7ecc1b0a9af515b760ac90e4d973ae928de1267c530f1"],"state_sha256":"07e34e964d63a788dab4deb29daf035be91b5374ab241405b9b0d757b395f005"}