{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:X5DW6WPYBCUO3UGJKITNEVHW4T","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":"6dd72a8a8608ba2a7f1d889d015611d8a53b63244e67674a384168264a39fb69","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.AI","submitted_at":"2025-08-13T07:59:29Z","title_canon_sha256":"89cd2280a77a3ad95c626a4a94f6143124c879fb05ac54ad6e49b9397d488c09"},"schema_version":"1.0","source":{"id":"2508.09586","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2508.09586","created_at":"2026-07-05T11:56:22Z"},{"alias_kind":"arxiv_version","alias_value":"2508.09586v2","created_at":"2026-07-05T11:56:22Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2508.09586","created_at":"2026-07-05T11:56:22Z"},{"alias_kind":"pith_short_12","alias_value":"X5DW6WPYBCUO","created_at":"2026-07-05T11:56:22Z"},{"alias_kind":"pith_short_16","alias_value":"X5DW6WPYBCUO3UGJ","created_at":"2026-07-05T11:56:22Z"},{"alias_kind":"pith_short_8","alias_value":"X5DW6WPY","created_at":"2026-07-05T11:56:22Z"}],"graph_snapshots":[{"event_id":"sha256:9e0553f69535c9a216cac4dd19ab49a147b208f909ab37e4ee234e3fb1c053b8","target":"graph","created_at":"2026-07-05T11:56:22Z","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/2508.09586/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Large Language Models (LLMs) have demonstrated remarkable capabilities across diverse domains, including programming, planning, and decision-making. However, their performance often degrades when faced with highly complex problem instances that require deep reasoning over long horizons. In such cases, direct problem-solving approaches can lead to inefficiency or failure due to the lack of structured intermediate guidance. To address this, we propose a novel self-evolve framework, EvoCurr, in which a dedicated curriculum-generation LLM constructs a sequence of problem instances with gradually i","authors_text":"Jian Zhao, Weiyu Ma, Wenhui Zhu, Yang Cheng, Yue Deng, Zilai Wang","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.AI","submitted_at":"2025-08-13T07:59:29Z","title":"EvoCurr: Self-evolving Curriculum with Behavior Code Generation for Complex Decision-making"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2508.09586","kind":"arxiv","version":2},"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":"sha256:5b6061e1038503f4c957bf354150352ac0da3ac709ba7e67cd6674216f9c57a5","target":"record","created_at":"2026-07-05T11:56:22Z","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":"6dd72a8a8608ba2a7f1d889d015611d8a53b63244e67674a384168264a39fb69","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.AI","submitted_at":"2025-08-13T07:59:29Z","title_canon_sha256":"89cd2280a77a3ad95c626a4a94f6143124c879fb05ac54ad6e49b9397d488c09"},"schema_version":"1.0","source":{"id":"2508.09586","kind":"arxiv","version":2}},"canonical_sha256":"bf476f59f808a8edd0c95226d254f6e4c9e0a0cfe4ec4a939800175d4d0c12e4","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"bf476f59f808a8edd0c95226d254f6e4c9e0a0cfe4ec4a939800175d4d0c12e4","first_computed_at":"2026-07-05T11:56:22.544350Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:56:22.544350Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"+VOjSEALT+KeDdXUuZyI7uvgPBe6kZr66K7Fe0IaqhgJWgi2WUA1SPctbw5RXem85BXjyElXPaxbCkDQWotRDQ==","signature_status":"signed_v1","signed_at":"2026-07-05T11:56:22.544846Z","signed_message":"canonical_sha256_bytes"},"source_id":"2508.09586","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:5b6061e1038503f4c957bf354150352ac0da3ac709ba7e67cd6674216f9c57a5","sha256:9e0553f69535c9a216cac4dd19ab49a147b208f909ab37e4ee234e3fb1c053b8"],"state_sha256":"55f79425e8689517219935bf0116815aed3c35f5338f3bf43f45f9cea220b14f"}