{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:P6LSS47WFI2KI7RUFQLJGUJE6H","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":"2f56f6facc81ce4b10af1b3d5c2c23c6b78926fda3875699b4f3fdcbb901b40e","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2026-08-02T13:39:01Z","title_canon_sha256":"aa3e8e4c132533821f3aeee2c5f6aba832852aa1a43680c7cafa570b17011b6f"},"schema_version":"1.0","source":{"id":"2608.01234","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2608.01234","created_at":"2026-08-04T02:02:14Z"},{"alias_kind":"arxiv_version","alias_value":"2608.01234v1","created_at":"2026-08-04T02:02:14Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2608.01234","created_at":"2026-08-04T02:02:14Z"},{"alias_kind":"pith_short_12","alias_value":"P6LSS47WFI2K","created_at":"2026-08-04T02:02:14Z"},{"alias_kind":"pith_short_16","alias_value":"P6LSS47WFI2KI7RU","created_at":"2026-08-04T02:02:14Z"},{"alias_kind":"pith_short_8","alias_value":"P6LSS47W","created_at":"2026-08-04T02:02:14Z"}],"graph_snapshots":[{"event_id":"sha256:e5c50de8390641b558dc872b72a70322e2775289c20eaf453aad22fe64918fcf","target":"graph","created_at":"2026-08-04T02:02:14Z","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/2608.01234/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Large language model agents increasingly operate in dynamic environments where tool interfaces, APIs, and user requirements change after deployment. Existing self-evolution methods mainly follow two paradigms: harness-based approaches, which externalize feedback into editable memories or skills for rapid adaptation, and parameter-based approaches, which internalize experience into model parameters for deeper capability improvement. However, using either mechanism alone creates a trade-off between flexibility and performance. This paper asks how an agent can coordinate both channels to achieve ","authors_text":"Hongbin Pei, Jiayu Liu, Tianyun Ji, Yu Su, Zhenya Huang, Zirui Liu","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2026-08-02T13:39:01Z","title":"Learning What to Remember and What to Internalize in LLM Self-Evolution via Adaptive Memory-Parameter Coordination"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2608.01234","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":"sha256:966c2d1dcbdeac867516692703679e315e4a94a4d7562051e9b409d4d4f9a76f","target":"record","created_at":"2026-08-04T02:02:14Z","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":"2f56f6facc81ce4b10af1b3d5c2c23c6b78926fda3875699b4f3fdcbb901b40e","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2026-08-02T13:39:01Z","title_canon_sha256":"aa3e8e4c132533821f3aeee2c5f6aba832852aa1a43680c7cafa570b17011b6f"},"schema_version":"1.0","source":{"id":"2608.01234","kind":"arxiv","version":1}},"canonical_sha256":"7f972973f62a34a47e342c16935124f1cf1e3d06436950e0e12d63d65bc5fa10","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"7f972973f62a34a47e342c16935124f1cf1e3d06436950e0e12d63d65bc5fa10","first_computed_at":"2026-08-04T02:02:14.717688Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-08-04T02:02:14.717688Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"893LV+uNlFnFcd2wfL+KUrB477VF/xSP9ycUeoC4CqcgUk4CWG20j0wvI2SnmPUG26s4g7Vxvk0zlrHvy9I1Bw==","signature_status":"signed_v1","signed_at":"2026-08-04T02:02:14.721342Z","signed_message":"canonical_sha256_bytes"},"source_id":"2608.01234","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:966c2d1dcbdeac867516692703679e315e4a94a4d7562051e9b409d4d4f9a76f","sha256:e5c50de8390641b558dc872b72a70322e2775289c20eaf453aad22fe64918fcf"],"state_sha256":"a67287c73a4853b94aa485b3d30ef2ad7b809b001aa7a9e69f56045d46949a70"}