{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:47VCKQRUQIRSE2PDJCIUYUBR5I","short_pith_number":"pith:47VCKQRU","canonical_record":{"source":{"id":"2608.12416","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.RO","submitted_at":"2026-08-12T04:29:00Z","cross_cats_sorted":[],"title_canon_sha256":"660bfe6050a3ab5fbd29eee198cd605db0611a812d9776d5578e7ad50b1799fe","abstract_canon_sha256":"52c5d4f89c3925d0139bd88ecebdf08965c023d4f4abb0bd7b584ccd2b2e9411"},"schema_version":"1.0"},"canonical_sha256":"e7ea25423482232269e348914c5031ea27ae1de18d444d724582a3b7769e2057","source":{"kind":"arxiv","id":"2608.12416","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2608.12416","created_at":"2026-08-14T00:42:50Z"},{"alias_kind":"arxiv_version","alias_value":"2608.12416v1","created_at":"2026-08-14T00:42:50Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2608.12416","created_at":"2026-08-14T00:42:50Z"},{"alias_kind":"pith_short_12","alias_value":"47VCKQRUQIRS","created_at":"2026-08-14T00:42:50Z"},{"alias_kind":"pith_short_16","alias_value":"47VCKQRUQIRSE2PD","created_at":"2026-08-14T00:42:50Z"},{"alias_kind":"pith_short_8","alias_value":"47VCKQRU","created_at":"2026-08-14T00:42:50Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:47VCKQRUQIRSE2PDJCIUYUBR5I","target":"record","payload":{"canonical_record":{"source":{"id":"2608.12416","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.RO","submitted_at":"2026-08-12T04:29:00Z","cross_cats_sorted":[],"title_canon_sha256":"660bfe6050a3ab5fbd29eee198cd605db0611a812d9776d5578e7ad50b1799fe","abstract_canon_sha256":"52c5d4f89c3925d0139bd88ecebdf08965c023d4f4abb0bd7b584ccd2b2e9411"},"schema_version":"1.0"},"canonical_sha256":"e7ea25423482232269e348914c5031ea27ae1de18d444d724582a3b7769e2057","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-08-14T00:42:50.875188Z","signature_b64":"aP3tBRBhMJxpws1y2XIx88+0e+z63UYeVdWf9ueu36CeK85hI+nbR4vGDgSgzRtVF7DA3CrHC1umREN2pfuZDA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"e7ea25423482232269e348914c5031ea27ae1de18d444d724582a3b7769e2057","last_reissued_at":"2026-08-14T00:42:50.869455Z","signature_status":"signed_v1","first_computed_at":"2026-08-14T00:42:50.869455Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2608.12416","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-08-14T00:42:50Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"/zSMhqjW+0d2sWb52aP3NiuiR9qNwTjKXjWTJwlOhyG2gxKr8Co1rOI44fyyHbCcMMUucSp73vYD/94EECMrDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-19T23:33:24.907986Z"},"content_sha256":"a503840a241d4f2c857f99f5bc772645cb5e3433de0203e06d169cb18c86808f","schema_version":"1.0","event_id":"sha256:a503840a241d4f2c857f99f5bc772645cb5e3433de0203e06d169cb18c86808f"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:47VCKQRUQIRSE2PDJCIUYUBR5I","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"RoboSynChallenge: Mastering Real-World Dexterity via Generalizing Synthesized Manipulation Skills","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.RO","authors_text":"Ang Li, Chengkun Li, Guiliang Liu, Hongrui Zhang, Kui Jia, Lihe Ding, Pascal Poupart, Ruixing Jin, Ruixin Wu, Runyi Zhao, Shaocong Dong, Simo Wu, Tianfan Xue, Wei-Shi Zheng, Yanjun Gao, Yingying Guo, Yudong Luo, Yueci Deng","submitted_at":"2026-08-12T04:29:00Z","abstract_excerpt":"Achieving generalizable robotic manipulation remains a central challenge in embodied intelligence. Despite rapid advances in model architectures and learning algorithms, progress is often limited by the scarcity and narrow diversity of real-world data. The RoboSynChallenge competition introduces a unified benchmark to evaluate and advance the generalizability of manipulation policies across a spectrum of tasks, environments, and difficulty levels. To alleviate the shortage of realistic data, the challenge integrates large-scale synthetic data generation with standardized real-world robotic eva"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2608.12416","kind":"arxiv","version":1},"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/2608.12416/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":"2026-08-14T00:42:50Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"CHjPG5F4hLY3Gs4L2nLgoMsIL17viQPRsuQ2LDbfq8BcEX8DWo3plgGUfHGS0G+rA7AxwEIvnE9WlXiGVb9dCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-19T23:33:24.908892Z"},"content_sha256":"cbb0c3eb1fe42d590d6ea3023561e509cd6ceb940b85f1b2081aac6d30f7d00b","schema_version":"1.0","event_id":"sha256:cbb0c3eb1fe42d590d6ea3023561e509cd6ceb940b85f1b2081aac6d30f7d00b"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/47VCKQRUQIRSE2PDJCIUYUBR5I/bundle.json","state_url":"https://pith.science/pith/47VCKQRUQIRSE2PDJCIUYUBR5I/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/47VCKQRUQIRSE2PDJCIUYUBR5I/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":"2026-08-19T23:33:24Z","links":{"resolver":"https://pith.science/pith/47VCKQRUQIRSE2PDJCIUYUBR5I","bundle":"https://pith.science/pith/47VCKQRUQIRSE2PDJCIUYUBR5I/bundle.json","state":"https://pith.science/pith/47VCKQRUQIRSE2PDJCIUYUBR5I/state.json","well_known_bundle":"https://pith.science/.well-known/pith/47VCKQRUQIRSE2PDJCIUYUBR5I/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:47VCKQRUQIRSE2PDJCIUYUBR5I","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":"52c5d4f89c3925d0139bd88ecebdf08965c023d4f4abb0bd7b584ccd2b2e9411","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.RO","submitted_at":"2026-08-12T04:29:00Z","title_canon_sha256":"660bfe6050a3ab5fbd29eee198cd605db0611a812d9776d5578e7ad50b1799fe"},"schema_version":"1.0","source":{"id":"2608.12416","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2608.12416","created_at":"2026-08-14T00:42:50Z"},{"alias_kind":"arxiv_version","alias_value":"2608.12416v1","created_at":"2026-08-14T00:42:50Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2608.12416","created_at":"2026-08-14T00:42:50Z"},{"alias_kind":"pith_short_12","alias_value":"47VCKQRUQIRS","created_at":"2026-08-14T00:42:50Z"},{"alias_kind":"pith_short_16","alias_value":"47VCKQRUQIRSE2PD","created_at":"2026-08-14T00:42:50Z"},{"alias_kind":"pith_short_8","alias_value":"47VCKQRU","created_at":"2026-08-14T00:42:50Z"}],"graph_snapshots":[{"event_id":"sha256:cbb0c3eb1fe42d590d6ea3023561e509cd6ceb940b85f1b2081aac6d30f7d00b","target":"graph","created_at":"2026-08-14T00:42:50Z","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/2608.12416/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Achieving generalizable robotic manipulation remains a central challenge in embodied intelligence. Despite rapid advances in model architectures and learning algorithms, progress is often limited by the scarcity and narrow diversity of real-world data. The RoboSynChallenge competition introduces a unified benchmark to evaluate and advance the generalizability of manipulation policies across a spectrum of tasks, environments, and difficulty levels. To alleviate the shortage of realistic data, the challenge integrates large-scale synthetic data generation with standardized real-world robotic eva","authors_text":"Ang Li, Chengkun Li, Guiliang Liu, Hongrui Zhang, Kui Jia, Lihe Ding, Pascal Poupart, Ruixing Jin, Ruixin Wu, Runyi Zhao, Shaocong Dong, Simo Wu, Tianfan Xue, Wei-Shi Zheng, Yanjun Gao, Yingying Guo, Yudong Luo, Yueci Deng","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.RO","submitted_at":"2026-08-12T04:29:00Z","title":"RoboSynChallenge: Mastering Real-World Dexterity via Generalizing Synthesized Manipulation Skills"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2608.12416","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:a503840a241d4f2c857f99f5bc772645cb5e3433de0203e06d169cb18c86808f","target":"record","created_at":"2026-08-14T00:42:50Z","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":"52c5d4f89c3925d0139bd88ecebdf08965c023d4f4abb0bd7b584ccd2b2e9411","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.RO","submitted_at":"2026-08-12T04:29:00Z","title_canon_sha256":"660bfe6050a3ab5fbd29eee198cd605db0611a812d9776d5578e7ad50b1799fe"},"schema_version":"1.0","source":{"id":"2608.12416","kind":"arxiv","version":1}},"canonical_sha256":"e7ea25423482232269e348914c5031ea27ae1de18d444d724582a3b7769e2057","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"e7ea25423482232269e348914c5031ea27ae1de18d444d724582a3b7769e2057","first_computed_at":"2026-08-14T00:42:50.869455Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-08-14T00:42:50.869455Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"aP3tBRBhMJxpws1y2XIx88+0e+z63UYeVdWf9ueu36CeK85hI+nbR4vGDgSgzRtVF7DA3CrHC1umREN2pfuZDA==","signature_status":"signed_v1","signed_at":"2026-08-14T00:42:50.875188Z","signed_message":"canonical_sha256_bytes"},"source_id":"2608.12416","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:a503840a241d4f2c857f99f5bc772645cb5e3433de0203e06d169cb18c86808f","sha256:cbb0c3eb1fe42d590d6ea3023561e509cd6ceb940b85f1b2081aac6d30f7d00b"],"state_sha256":"754ff53bc00901604917d7708d4093fd552f5d56e4c9597084857f2584649de6"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"YaHJiV7pk5xbjja/fbjW8LDrbWI7NLwSdQgUf4AfkjxlSxH7uFbX7x2abqhwT66G5sXgZ8+ArkKwbNEvJupdDw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-19T23:33:24.914727Z","bundle_sha256":"8e10f99fd5415ee58050d96cb3c34c58ed0758e01f5e145646f35dc7221f5059"}}