{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:ION6RKJ7MBOHLA574QWHM4BMCH","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":"6f588da8d3e0cfc7ed0de7cfdfd068f218aa330666c74d6d71a00cc1efc86f3c","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.RO","submitted_at":"2025-05-02T17:13:03Z","title_canon_sha256":"533531d3ee96f0b73a722b94fa671e1b5c6b820836b26eb497a2e0db209ebf27"},"schema_version":"1.0","source":{"id":"2505.01396","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2505.01396","created_at":"2026-07-05T10:57:50Z"},{"alias_kind":"arxiv_version","alias_value":"2505.01396v1","created_at":"2026-07-05T10:57:50Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2505.01396","created_at":"2026-07-05T10:57:50Z"},{"alias_kind":"pith_short_12","alias_value":"ION6RKJ7MBOH","created_at":"2026-07-05T10:57:50Z"},{"alias_kind":"pith_short_16","alias_value":"ION6RKJ7MBOHLA57","created_at":"2026-07-05T10:57:50Z"},{"alias_kind":"pith_short_8","alias_value":"ION6RKJ7","created_at":"2026-07-05T10:57:50Z"}],"graph_snapshots":[{"event_id":"sha256:b1646392ef11aeed961f66e5e789e24daa762142eb964577257fc5b51b31dea0","target":"graph","created_at":"2026-07-05T10:57:50Z","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/2505.01396/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Self-improvement requires robotic systems to initially learn from human-provided data and then gradually enhance their capabilities through interaction with the environment. This is similar to how humans improve their skills through continuous practice. However, achieving effective self-improvement is challenging, primarily because robots tend to repeat their existing abilities during interactions, often failing to generate new, valuable data for learning. In this paper, we identify the key to successful self-improvement: modal-level exploration and data selection. By incorporating a modal-lev","authors_text":"Cewu Lu, Hongjie Fang, Jun Lv, Wenye Yu, Yang Jin, Yong-Lu Li","cross_cats":["cs.AI","cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.RO","submitted_at":"2025-05-02T17:13:03Z","title":"SIME: Enhancing Policy Self-Improvement with Modal-level Exploration"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2505.01396","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":"sha256:5d92abb365b55bcecb6045933f40c1e444bcb8a73648baecb5d7617c32d60344","target":"record","created_at":"2026-07-05T10:57:50Z","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":"6f588da8d3e0cfc7ed0de7cfdfd068f218aa330666c74d6d71a00cc1efc86f3c","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.RO","submitted_at":"2025-05-02T17:13:03Z","title_canon_sha256":"533531d3ee96f0b73a722b94fa671e1b5c6b820836b26eb497a2e0db209ebf27"},"schema_version":"1.0","source":{"id":"2505.01396","kind":"arxiv","version":1}},"canonical_sha256":"439be8a93f605c7583bfe42c76702c11f77dd6a2c448091d545524bae731a092","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"439be8a93f605c7583bfe42c76702c11f77dd6a2c448091d545524bae731a092","first_computed_at":"2026-07-05T10:57:50.217193Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:57:50.217193Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"7VBekNcMGaGiLmodOS12QTbWAK3Yo4T0Xk9XFjeL+25l0mLSMbEwV9Z3Cgo7rq2ITitKF/zcfyzwiOY7NqWbAA==","signature_status":"signed_v1","signed_at":"2026-07-05T10:57:50.217702Z","signed_message":"canonical_sha256_bytes"},"source_id":"2505.01396","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:5d92abb365b55bcecb6045933f40c1e444bcb8a73648baecb5d7617c32d60344","sha256:b1646392ef11aeed961f66e5e789e24daa762142eb964577257fc5b51b31dea0"],"state_sha256":"440975e6d980d08d012ed212bbaa4efe10330e4e807e04dc463fbff9f7d57825"}