{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:TQROWEOGFYU55NA5I7CCQQC442","short_pith_number":"pith:TQROWEOG","canonical_record":{"source":{"id":"2311.06015","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.RO","submitted_at":"2023-11-10T11:59:41Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"09c95509c9510ca7a0e5eb7999ca819a90d3599ec519cbafb5b742de917450db","abstract_canon_sha256":"3fdbec9941ef2745f612e5556991044ba51911f9bf91b7ed799af8a9db3a3a71"},"schema_version":"1.0"},"canonical_sha256":"9c22eb11c62e29deb41d47c428405ce681a4e3af5be8d19633054538462e84d7","source":{"kind":"arxiv","id":"2311.06015","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2311.06015","created_at":"2026-07-05T10:20:10Z"},{"alias_kind":"arxiv_version","alias_value":"2311.06015v2","created_at":"2026-07-05T10:20:10Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2311.06015","created_at":"2026-07-05T10:20:10Z"},{"alias_kind":"pith_short_12","alias_value":"TQROWEOGFYU5","created_at":"2026-07-05T10:20:10Z"},{"alias_kind":"pith_short_16","alias_value":"TQROWEOGFYU55NA5","created_at":"2026-07-05T10:20:10Z"},{"alias_kind":"pith_short_8","alias_value":"TQROWEOG","created_at":"2026-07-05T10:20:10Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:TQROWEOGFYU55NA5I7CCQQC442","target":"record","payload":{"canonical_record":{"source":{"id":"2311.06015","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.RO","submitted_at":"2023-11-10T11:59:41Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"09c95509c9510ca7a0e5eb7999ca819a90d3599ec519cbafb5b742de917450db","abstract_canon_sha256":"3fdbec9941ef2745f612e5556991044ba51911f9bf91b7ed799af8a9db3a3a71"},"schema_version":"1.0"},"canonical_sha256":"9c22eb11c62e29deb41d47c428405ce681a4e3af5be8d19633054538462e84d7","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:20:10.288740Z","signature_b64":"0egYanpsvi++uXQZhipUGLb8Jxz+tIUea5Osdl5j3VHNC45uVloxoWlFwVwWlkuKJRzZdbJJ5Y84yx7IX7PwBg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"9c22eb11c62e29deb41d47c428405ce681a4e3af5be8d19633054538462e84d7","last_reissued_at":"2026-07-05T10:20:10.288302Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:20:10.288302Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2311.06015","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":"2026-07-05T10:20:10Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"5GlEkN6oHl+6D1LFIaT3BnzL6HVfkog3hxYBkrDL/BAPfyGM0eQOsHtxD0RMCpbVwFfYfG5RV9FXfqrGlisZBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-16T12:11:11.867518Z"},"content_sha256":"e34c0957b78a988fdd62c40ba42d92952d63b854023f6f41b0930dcb3df3877c","schema_version":"1.0","event_id":"sha256:e34c0957b78a988fdd62c40ba42d92952d63b854023f6f41b0930dcb3df3877c"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:TQROWEOGFYU55NA5I7CCQQC442","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Unlock Reliable Skill Inference for Quadruped Adaptive Behavior by Skill Graph","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.RO","authors_text":"Diyuan Shi, Donglin Wang, Feng Zhao, Han Zhao, Hongyin Zhang, Shangke Lyu, Sibo Gai, Zhenyu Wei, Zifeng Zhuang","submitted_at":"2023-11-10T11:59:41Z","abstract_excerpt":"Developing robotic intelligent systems that can adapt quickly to unseen wild situations is one of the critical challenges in pursuing autonomous robotics. Although some impressive progress has been made in walking stability and skill learning in the field of legged robots, their ability for fast adaptation is still inferior to that of animals in nature. Animals are born with a massive set of skills needed to survive, and can quickly acquire new ones, by composing fundamental skills with limited experience. Inspired by this, we propose a novel framework, named Robot Skill Graph (RSG) for organi"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2311.06015","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/2311.06015/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":"2026-07-05T10:20:10Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Y1il5pcnIGPSJvDw6aRKMkQ2E9IX51ZctS59MGbyVCq37QkO1DQfo42pkYiMEuHQ+OMLyZng1AMaV+xuAGWKCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-16T12:11:11.868450Z"},"content_sha256":"fb2730cebc0eb3947fb426fe6f7a6178f7ba248a63ae35e95125ca7aa3b03498","schema_version":"1.0","event_id":"sha256:fb2730cebc0eb3947fb426fe6f7a6178f7ba248a63ae35e95125ca7aa3b03498"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/TQROWEOGFYU55NA5I7CCQQC442/bundle.json","state_url":"https://pith.science/pith/TQROWEOGFYU55NA5I7CCQQC442/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/TQROWEOGFYU55NA5I7CCQQC442/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":"2026-08-16T12:11:11Z","links":{"resolver":"https://pith.science/pith/TQROWEOGFYU55NA5I7CCQQC442","bundle":"https://pith.science/pith/TQROWEOGFYU55NA5I7CCQQC442/bundle.json","state":"https://pith.science/pith/TQROWEOGFYU55NA5I7CCQQC442/state.json","well_known_bundle":"https://pith.science/.well-known/pith/TQROWEOGFYU55NA5I7CCQQC442/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:TQROWEOGFYU55NA5I7CCQQC442","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":"3fdbec9941ef2745f612e5556991044ba51911f9bf91b7ed799af8a9db3a3a71","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.RO","submitted_at":"2023-11-10T11:59:41Z","title_canon_sha256":"09c95509c9510ca7a0e5eb7999ca819a90d3599ec519cbafb5b742de917450db"},"schema_version":"1.0","source":{"id":"2311.06015","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2311.06015","created_at":"2026-07-05T10:20:10Z"},{"alias_kind":"arxiv_version","alias_value":"2311.06015v2","created_at":"2026-07-05T10:20:10Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2311.06015","created_at":"2026-07-05T10:20:10Z"},{"alias_kind":"pith_short_12","alias_value":"TQROWEOGFYU5","created_at":"2026-07-05T10:20:10Z"},{"alias_kind":"pith_short_16","alias_value":"TQROWEOGFYU55NA5","created_at":"2026-07-05T10:20:10Z"},{"alias_kind":"pith_short_8","alias_value":"TQROWEOG","created_at":"2026-07-05T10:20:10Z"}],"graph_snapshots":[{"event_id":"sha256:fb2730cebc0eb3947fb426fe6f7a6178f7ba248a63ae35e95125ca7aa3b03498","target":"graph","created_at":"2026-07-05T10:20:10Z","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/2311.06015/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Developing robotic intelligent systems that can adapt quickly to unseen wild situations is one of the critical challenges in pursuing autonomous robotics. Although some impressive progress has been made in walking stability and skill learning in the field of legged robots, their ability for fast adaptation is still inferior to that of animals in nature. Animals are born with a massive set of skills needed to survive, and can quickly acquire new ones, by composing fundamental skills with limited experience. Inspired by this, we propose a novel framework, named Robot Skill Graph (RSG) for organi","authors_text":"Diyuan Shi, Donglin Wang, Feng Zhao, Han Zhao, Hongyin Zhang, Shangke Lyu, Sibo Gai, Zhenyu Wei, Zifeng Zhuang","cross_cats":["cs.AI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.RO","submitted_at":"2023-11-10T11:59:41Z","title":"Unlock Reliable Skill Inference for Quadruped Adaptive Behavior by Skill Graph"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2311.06015","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:e34c0957b78a988fdd62c40ba42d92952d63b854023f6f41b0930dcb3df3877c","target":"record","created_at":"2026-07-05T10:20:10Z","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":"3fdbec9941ef2745f612e5556991044ba51911f9bf91b7ed799af8a9db3a3a71","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.RO","submitted_at":"2023-11-10T11:59:41Z","title_canon_sha256":"09c95509c9510ca7a0e5eb7999ca819a90d3599ec519cbafb5b742de917450db"},"schema_version":"1.0","source":{"id":"2311.06015","kind":"arxiv","version":2}},"canonical_sha256":"9c22eb11c62e29deb41d47c428405ce681a4e3af5be8d19633054538462e84d7","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"9c22eb11c62e29deb41d47c428405ce681a4e3af5be8d19633054538462e84d7","first_computed_at":"2026-07-05T10:20:10.288302Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:20:10.288302Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"0egYanpsvi++uXQZhipUGLb8Jxz+tIUea5Osdl5j3VHNC45uVloxoWlFwVwWlkuKJRzZdbJJ5Y84yx7IX7PwBg==","signature_status":"signed_v1","signed_at":"2026-07-05T10:20:10.288740Z","signed_message":"canonical_sha256_bytes"},"source_id":"2311.06015","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:e34c0957b78a988fdd62c40ba42d92952d63b854023f6f41b0930dcb3df3877c","sha256:fb2730cebc0eb3947fb426fe6f7a6178f7ba248a63ae35e95125ca7aa3b03498"],"state_sha256":"e43588c307feae2c62602cc287c47396746cea79b42ad3ffece283159c478f3e"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"/PiqhQlC/OjXnsnJtFTu6IwrhbcIUwKWW7IV9wgKz6Ce2OsNGpZXfK1rdp0f29FvpPr0+jLEItsiyf3TEjzOCA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-16T12:11:11.874653Z","bundle_sha256":"50e2a5c47a2739d0004e5f3b6bb8fcd098fb250080d82b20a9b170814d2590ff"}}