{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:2MK65EDJVF477WMIBMH7CP6UPU","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":"e8b37aa7db3a0fbcfa35951e941df69c5e222329b14d3a0e5dd52441227624f0","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2026-06-05T06:39:16Z","title_canon_sha256":"4a39f7b2ade82b5e2b2fbc5c097bba822a899f927010b346e6a5fe1e9b739d8d"},"schema_version":"1.0","source":{"id":"2606.06960","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.06960","created_at":"2026-06-08T01:04:38Z"},{"alias_kind":"arxiv_version","alias_value":"2606.06960v1","created_at":"2026-06-08T01:04:38Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.06960","created_at":"2026-06-08T01:04:38Z"},{"alias_kind":"pith_short_12","alias_value":"2MK65EDJVF47","created_at":"2026-06-08T01:04:38Z"},{"alias_kind":"pith_short_16","alias_value":"2MK65EDJVF477WMI","created_at":"2026-06-08T01:04:38Z"},{"alias_kind":"pith_short_8","alias_value":"2MK65EDJ","created_at":"2026-06-08T01:04:38Z"}],"graph_snapshots":[{"event_id":"sha256:88ad7b8cece2a603bf24ef0a177e55d12a62867454b22621945f98ed3d636f2a","target":"graph","created_at":"2026-06-08T01:04:38Z","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/2606.06960/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Experience-based self-evolution is crucial for LLM agents, but existing benchmarks often assume explicit goals, stable task patterns, and clear feedback. We study a more challenging setting: low-repetition tasks with implicit rewards, where past experience is difficult to reuse and feedback is delayed, noisy, and outcome-level. We introduce \\textsc{FinEvolveBench}, a temporally controlled benchmark for financial sentiment prediction that links daily news-driven predictions to future excess returns. We further propose Tree-of-Experience (ToE), a structured experience-management method that orga","authors_text":"Chuncheng Ran, Dixuan Yang, Jikun Shen, Jingfei Lu, Junbo Wang, Leiming Wang, Yining Zhu, Yu Yang, Zihao Deng","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2026-06-05T06:39:16Z","title":"Tree-of-Experience: A Structured Experience-Management Solution for Self-Evolving Agents under Low-Repetition and Implicit-Reward Environments"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.06960","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":"sha256:1dece9eb490c683c10c15482f13e10f3c75e88c57b940094034abebc2839c82e","target":"record","created_at":"2026-06-08T01:04:38Z","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":"e8b37aa7db3a0fbcfa35951e941df69c5e222329b14d3a0e5dd52441227624f0","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2026-06-05T06:39:16Z","title_canon_sha256":"4a39f7b2ade82b5e2b2fbc5c097bba822a899f927010b346e6a5fe1e9b739d8d"},"schema_version":"1.0","source":{"id":"2606.06960","kind":"arxiv","version":1}},"canonical_sha256":"d315ee9069a979ffd9880b0ff13fd47d052e4d3bb572eff404214e9e2fcf1226","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"d315ee9069a979ffd9880b0ff13fd47d052e4d3bb572eff404214e9e2fcf1226","first_computed_at":"2026-06-08T01:04:38.294577Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-08T01:04:38.294577Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"h5WL7GHZ3xRfIH5sqF0V2qbsaX86OxNqrW8ZbAVYjREW2ZoWZybES39Bqp4lKijUVXkzOHn5LZHXwuems74VBw==","signature_status":"signed_v1","signed_at":"2026-06-08T01:04:38.295375Z","signed_message":"canonical_sha256_bytes"},"source_id":"2606.06960","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:1dece9eb490c683c10c15482f13e10f3c75e88c57b940094034abebc2839c82e","sha256:88ad7b8cece2a603bf24ef0a177e55d12a62867454b22621945f98ed3d636f2a"],"state_sha256":"138513b2c5e52c24df4e49eff0605ef97b8abd02b960b3369cffe03e14d04e2b"}