{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:KSNSDPLVOA6SIMJ3Z3PYQQJC5L","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":"fb09e219d4441644c812a5eb54cc95be6a33bcf480a2eaaf600f92c600742c66","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2026-05-27T17:59:15Z","title_canon_sha256":"27b4c6e6f3ac8f25a1ca7ded51094ee138d10080264a5d050b3efb8152d80ee6"},"schema_version":"1.0","source":{"id":"2605.28814","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.28814","created_at":"2026-05-28T02:05:04Z"},{"alias_kind":"arxiv_version","alias_value":"2605.28814v1","created_at":"2026-05-28T02:05:04Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.28814","created_at":"2026-05-28T02:05:04Z"},{"alias_kind":"pith_short_12","alias_value":"KSNSDPLVOA6S","created_at":"2026-05-28T02:05:04Z"},{"alias_kind":"pith_short_16","alias_value":"KSNSDPLVOA6SIMJ3","created_at":"2026-05-28T02:05:04Z"},{"alias_kind":"pith_short_8","alias_value":"KSNSDPLV","created_at":"2026-05-28T02:05:04Z"}],"graph_snapshots":[{"event_id":"sha256:0301230954aa0d3f5ff8704797cf0ce67ba609c83b940c256bd6d809e5ccce8d","target":"graph","created_at":"2026-05-28T02:05:04Z","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/2605.28814/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Search has been proposed as an effective method for self-improving language models and agentic systems, both for post-training sample generation and for inference. However, widely used methods such as best-of-N sampling and tree search face two fundamental limitations: they are guided by sparse verification signals, and they construct candidates primarily through autoregressive expansion, restricting exploration to regions with substantial model probability mass. To address these, we propose Bidirectional Evolutionary Search (BES), a search framework that couples forward candidate evolution wi","authors_text":"Guowei Xu, Himabindu Lakkaraju, Huangyuan Su, Sham M. Kakade, Weirui Ye, Yilun Du, Zhenting Qi","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2026-05-27T17:59:15Z","title":"Self-Improving Language Models with Bidirectional Evolutionary Search"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.28814","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":"sha256:43ac952de282b13c559699ee8cdd3a72d9349dd79c1b4b85b1102d2ee2f84170","target":"record","created_at":"2026-05-28T02:05:04Z","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":"fb09e219d4441644c812a5eb54cc95be6a33bcf480a2eaaf600f92c600742c66","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2026-05-27T17:59:15Z","title_canon_sha256":"27b4c6e6f3ac8f25a1ca7ded51094ee138d10080264a5d050b3efb8152d80ee6"},"schema_version":"1.0","source":{"id":"2605.28814","kind":"arxiv","version":1}},"canonical_sha256":"549b21bd75703d24313bcedf884122eaffe43936531bf864036a5c4d318ef237","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"549b21bd75703d24313bcedf884122eaffe43936531bf864036a5c4d318ef237","first_computed_at":"2026-05-28T02:05:04.452699Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-28T02:05:04.452699Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"kwywEWNgUCXrkIB0eUyuzS6u/JSIxXES3vhcJzuM8KYyoSb3WLBf8PAHbdW2hu2vMxfoWbTbPhfbWbPCMnfnCg==","signature_status":"signed_v1","signed_at":"2026-05-28T02:05:04.453132Z","signed_message":"canonical_sha256_bytes"},"source_id":"2605.28814","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:43ac952de282b13c559699ee8cdd3a72d9349dd79c1b4b85b1102d2ee2f84170","sha256:0301230954aa0d3f5ff8704797cf0ce67ba609c83b940c256bd6d809e5ccce8d"],"state_sha256":"2ca320db741c08df967f58ea777d6af9f00f333892ae51f25ad1ec2bb840c652"}