{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:5WZFZOGZO4QZ5UFMD37ODREID4","short_pith_number":"pith:5WZFZOGZ","canonical_record":{"source":{"id":"2603.28716","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.AI","submitted_at":"2026-03-30T17:32:11Z","cross_cats_sorted":[],"title_canon_sha256":"e994a5f047903516e42dc834626d0a6fd5d9984a98fe66d21f61b0be6dc43248","abstract_canon_sha256":"488288796f9f3692b45dd334336787c5dc6471c0022a7dfaa647cc632e889851"},"schema_version":"1.0"},"canonical_sha256":"edb25cb8d977219ed0ac1efee1c4881f37286372d9046db54f2f39dbb076a0aa","source":{"kind":"arxiv","id":"2603.28716","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2603.28716","created_at":"2026-05-26T02:04:09Z"},{"alias_kind":"arxiv_version","alias_value":"2603.28716v2","created_at":"2026-05-26T02:04:09Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2603.28716","created_at":"2026-05-26T02:04:09Z"},{"alias_kind":"pith_short_12","alias_value":"5WZFZOGZO4QZ","created_at":"2026-05-26T02:04:09Z"},{"alias_kind":"pith_short_16","alias_value":"5WZFZOGZO4QZ5UFM","created_at":"2026-05-26T02:04:09Z"},{"alias_kind":"pith_short_8","alias_value":"5WZFZOGZ","created_at":"2026-05-26T02:04:09Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:5WZFZOGZO4QZ5UFMD37ODREID4","target":"record","payload":{"canonical_record":{"source":{"id":"2603.28716","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.AI","submitted_at":"2026-03-30T17:32:11Z","cross_cats_sorted":[],"title_canon_sha256":"e994a5f047903516e42dc834626d0a6fd5d9984a98fe66d21f61b0be6dc43248","abstract_canon_sha256":"488288796f9f3692b45dd334336787c5dc6471c0022a7dfaa647cc632e889851"},"schema_version":"1.0"},"canonical_sha256":"edb25cb8d977219ed0ac1efee1c4881f37286372d9046db54f2f39dbb076a0aa","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-26T02:04:09.670095Z","signature_b64":"sd9Lu/gmZoecXt1Idgx8zYdgz+ghnjzRyX6IFlJ89jM3bxSEKldvNH5Z1KNZSmn9ABMqa7A2x+lyx/W+kn/DAg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"edb25cb8d977219ed0ac1efee1c4881f37286372d9046db54f2f39dbb076a0aa","last_reissued_at":"2026-05-26T02:04:09.669310Z","signature_status":"signed_v1","first_computed_at":"2026-05-26T02:04:09.669310Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2603.28716","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-26T02:04:09Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"JG1Tx/iDHW7l64JqMgMmJu1VAoAzmZJIaD1kKNc4wdKjcpuNrDMJUjXt4pdl4GnmKaD+2gH6cGf9TUujLmn2DA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-27T00:46:19.545348Z"},"content_sha256":"3757a8d2f8802cc9bdd17a92ec9627cad3db0411140ebfdae8422573b55479f5","schema_version":"1.0","event_id":"sha256:3757a8d2f8802cc9bdd17a92ec9627cad3db0411140ebfdae8422573b55479f5"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:5WZFZOGZO4QZ5UFMD37ODREID4","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Dynamic Dual-Granularity Skill Bank for Agentic RL","license":"http://creativecommons.org/licenses/by-sa/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.AI","authors_text":"Chengdong Xu, Dongbin Zhao, Dong Li, Linjing Li, Qichao Zhang, Songjun Tu, Xiangyuan Lan, Yaocheng Zhang","submitted_at":"2026-03-30T17:32:11Z","abstract_excerpt":"Agentic RL can benefit substantially from reusable experience, yet existing skill-based methods mainly extract trajectory-level guidance and often lack principled mechanisms for maintaining an evolving skill memory. We propose D2Skill, a dynamic dual-granularity skill bank for agentic RL that organizes reusable experience into task skills for high-level guidance and step skills for fine-grained decision support and error correction. D2Skill jointly trains the policy and skill bank through paired baseline and skill-injected rollouts under the same policy, using their performance gap to derive h"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2603.28716","kind":"arxiv","version":2},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2603.28716/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-26T02:04:09Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"rANm6yVK1bV+Q5Hz3O3KpggwNB8oAmWWneBvon5+WW2fa3UQq93CGhyUQreGzQ81VRosjHAe2nUBLNLHZUjADw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-27T00:46:19.546020Z"},"content_sha256":"d4f5e570e672c15ac4d5718bbb01ab5b276e2cd9a5ef03069325a376145dd070","schema_version":"1.0","event_id":"sha256:d4f5e570e672c15ac4d5718bbb01ab5b276e2cd9a5ef03069325a376145dd070"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/5WZFZOGZO4QZ5UFMD37ODREID4/bundle.json","state_url":"https://pith.science/pith/5WZFZOGZO4QZ5UFMD37ODREID4/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/5WZFZOGZO4QZ5UFMD37ODREID4/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-05-27T00:46:19Z","links":{"resolver":"https://pith.science/pith/5WZFZOGZO4QZ5UFMD37ODREID4","bundle":"https://pith.science/pith/5WZFZOGZO4QZ5UFMD37ODREID4/bundle.json","state":"https://pith.science/pith/5WZFZOGZO4QZ5UFMD37ODREID4/state.json","well_known_bundle":"https://pith.science/.well-known/pith/5WZFZOGZO4QZ5UFMD37ODREID4/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:5WZFZOGZO4QZ5UFMD37ODREID4","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":"488288796f9f3692b45dd334336787c5dc6471c0022a7dfaa647cc632e889851","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.AI","submitted_at":"2026-03-30T17:32:11Z","title_canon_sha256":"e994a5f047903516e42dc834626d0a6fd5d9984a98fe66d21f61b0be6dc43248"},"schema_version":"1.0","source":{"id":"2603.28716","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2603.28716","created_at":"2026-05-26T02:04:09Z"},{"alias_kind":"arxiv_version","alias_value":"2603.28716v2","created_at":"2026-05-26T02:04:09Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2603.28716","created_at":"2026-05-26T02:04:09Z"},{"alias_kind":"pith_short_12","alias_value":"5WZFZOGZO4QZ","created_at":"2026-05-26T02:04:09Z"},{"alias_kind":"pith_short_16","alias_value":"5WZFZOGZO4QZ5UFM","created_at":"2026-05-26T02:04:09Z"},{"alias_kind":"pith_short_8","alias_value":"5WZFZOGZ","created_at":"2026-05-26T02:04:09Z"}],"graph_snapshots":[{"event_id":"sha256:d4f5e570e672c15ac4d5718bbb01ab5b276e2cd9a5ef03069325a376145dd070","target":"graph","created_at":"2026-05-26T02:04:09Z","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/2603.28716/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Agentic RL can benefit substantially from reusable experience, yet existing skill-based methods mainly extract trajectory-level guidance and often lack principled mechanisms for maintaining an evolving skill memory. We propose D2Skill, a dynamic dual-granularity skill bank for agentic RL that organizes reusable experience into task skills for high-level guidance and step skills for fine-grained decision support and error correction. D2Skill jointly trains the policy and skill bank through paired baseline and skill-injected rollouts under the same policy, using their performance gap to derive h","authors_text":"Chengdong Xu, Dongbin Zhao, Dong Li, Linjing Li, Qichao Zhang, Songjun Tu, Xiangyuan Lan, Yaocheng Zhang","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.AI","submitted_at":"2026-03-30T17:32:11Z","title":"Dynamic Dual-Granularity Skill Bank for Agentic RL"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2603.28716","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":"sha256:3757a8d2f8802cc9bdd17a92ec9627cad3db0411140ebfdae8422573b55479f5","target":"record","created_at":"2026-05-26T02:04:09Z","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":"488288796f9f3692b45dd334336787c5dc6471c0022a7dfaa647cc632e889851","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.AI","submitted_at":"2026-03-30T17:32:11Z","title_canon_sha256":"e994a5f047903516e42dc834626d0a6fd5d9984a98fe66d21f61b0be6dc43248"},"schema_version":"1.0","source":{"id":"2603.28716","kind":"arxiv","version":2}},"canonical_sha256":"edb25cb8d977219ed0ac1efee1c4881f37286372d9046db54f2f39dbb076a0aa","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"edb25cb8d977219ed0ac1efee1c4881f37286372d9046db54f2f39dbb076a0aa","first_computed_at":"2026-05-26T02:04:09.669310Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-26T02:04:09.669310Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"sd9Lu/gmZoecXt1Idgx8zYdgz+ghnjzRyX6IFlJ89jM3bxSEKldvNH5Z1KNZSmn9ABMqa7A2x+lyx/W+kn/DAg==","signature_status":"signed_v1","signed_at":"2026-05-26T02:04:09.670095Z","signed_message":"canonical_sha256_bytes"},"source_id":"2603.28716","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:3757a8d2f8802cc9bdd17a92ec9627cad3db0411140ebfdae8422573b55479f5","sha256:d4f5e570e672c15ac4d5718bbb01ab5b276e2cd9a5ef03069325a376145dd070"],"state_sha256":"ff9ba301b801d97b279b5e32241e968bc2d4867e58464e7b1a98b18f5e2bab26"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"eqinIgWYjturLkfbKGoKry3ULwcCv/ky5s27NlGG6qaHLJ4vyZ0nFjnjawy31fymPYLEvSXSPtoov8/ZumLyCA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-27T00:46:19.548812Z","bundle_sha256":"b54afcfe00ec32a68552eda1fd42e8533e9ed3344061a4ceb5917cc7dfc0030d"}}