{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:AL4TFGNPQJKE3UVZLBJ3VVYKT2","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":"7a97679516aa4411714162ad7386dfc2bb311b6c960a2a64ecb612f10cb9c545","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.RO","submitted_at":"2025-07-09T07:24:18Z","title_canon_sha256":"4856f0c0b265c28780dbfdce6aa3f99385fe14d60e0f0579393125754b091113"},"schema_version":"1.0","source":{"id":"2507.06605","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2507.06605","created_at":"2026-07-05T11:40:56Z"},{"alias_kind":"arxiv_version","alias_value":"2507.06605v2","created_at":"2026-07-05T11:40:56Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2507.06605","created_at":"2026-07-05T11:40:56Z"},{"alias_kind":"pith_short_12","alias_value":"AL4TFGNPQJKE","created_at":"2026-07-05T11:40:56Z"},{"alias_kind":"pith_short_16","alias_value":"AL4TFGNPQJKE3UVZ","created_at":"2026-07-05T11:40:56Z"},{"alias_kind":"pith_short_8","alias_value":"AL4TFGNP","created_at":"2026-07-05T11:40:56Z"}],"graph_snapshots":[{"event_id":"sha256:f798b12ebc21c5384b10872ef74a317936cea32b65bb9f69e5fba8f192caa67e","target":"graph","created_at":"2026-07-05T11:40:56Z","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/2507.06605/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Classical sampling-based motion planners like the RRTs suffer from inefficiencies, particularly in cluttered or high-dimensional spaces, due to their reliance on undirected, random sampling. This paper introduces the Episodic RRT, a novel hybrid planning framework that replaces the primitive of a random point with a learned, multi-step \"exploratory episode\" generated by a Deep Reinforcement Learning agent. By making the DRL agent the engine of exploration, ERRT transforms the search process from a diffuse, volumetric expansion into a directed, branch-like growth. This paradigm shift yields key","authors_text":"Xinyu Wu","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.RO","submitted_at":"2025-07-09T07:24:18Z","title":"Growing Trees with an Agent: Accelerating RRTs with Learned, Multi-Step Episodic Exploration"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2507.06605","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":"sha256:1f4b7920095f549951de651ccc90d4c3c20acfcc39e1934b016c1abab0000743","target":"record","created_at":"2026-07-05T11:40:56Z","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":"7a97679516aa4411714162ad7386dfc2bb311b6c960a2a64ecb612f10cb9c545","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.RO","submitted_at":"2025-07-09T07:24:18Z","title_canon_sha256":"4856f0c0b265c28780dbfdce6aa3f99385fe14d60e0f0579393125754b091113"},"schema_version":"1.0","source":{"id":"2507.06605","kind":"arxiv","version":2}},"canonical_sha256":"02f93299af82544dd2b95853bad70a9e9a8ac5ca67b0f41957efccf83dfc9802","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"02f93299af82544dd2b95853bad70a9e9a8ac5ca67b0f41957efccf83dfc9802","first_computed_at":"2026-07-05T11:40:56.305191Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:40:56.305191Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"PSBwxDzEsj25IEsGeR3HBquMlmaGb0uFZKUIAyFUVneGLfU3TLT+kXpo9sIJoX/sbHYHtT4E36j821Y2UaWCDg==","signature_status":"signed_v1","signed_at":"2026-07-05T11:40:56.305683Z","signed_message":"canonical_sha256_bytes"},"source_id":"2507.06605","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:1f4b7920095f549951de651ccc90d4c3c20acfcc39e1934b016c1abab0000743","sha256:f798b12ebc21c5384b10872ef74a317936cea32b65bb9f69e5fba8f192caa67e"],"state_sha256":"e78bacec43cc6f8623e152cc0bd0b653788b6fd75dab34bceeffdc290728473a"}