{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:QCSYSL52Y3TSBMARKE5NIB6BJU","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":"25e10bb12b2491fafbd5bc9d9c96fdf65dc17315aa462f9c02d7dd0b2a6de7a8","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.RO","submitted_at":"2025-03-11T12:05:04Z","title_canon_sha256":"e9bca54d9f230ac23e64de2fc66ba36d202ca4f75ec18ca3930d57b5ef37b46a"},"schema_version":"1.0","source":{"id":"2503.08349","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2503.08349","created_at":"2026-07-05T10:28:57Z"},{"alias_kind":"arxiv_version","alias_value":"2503.08349v1","created_at":"2026-07-05T10:28:57Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2503.08349","created_at":"2026-07-05T10:28:57Z"},{"alias_kind":"pith_short_12","alias_value":"QCSYSL52Y3TS","created_at":"2026-07-05T10:28:57Z"},{"alias_kind":"pith_short_16","alias_value":"QCSYSL52Y3TSBMAR","created_at":"2026-07-05T10:28:57Z"},{"alias_kind":"pith_short_8","alias_value":"QCSYSL52","created_at":"2026-07-05T10:28:57Z"}],"graph_snapshots":[{"event_id":"sha256:d6d5c2357e422959d986d61436af11413a1c644b2988d933a26b2a04e851162e","target":"graph","created_at":"2026-07-05T10:28:57Z","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/2503.08349/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"In recent years, research on humanoid robots has garnered significant attention, particularly in reinforcement learning based control algorithms, which have achieved major breakthroughs. Compared to traditional model-based control algorithms, reinforcement learning based algorithms demonstrate substantial advantages in handling complex tasks. Leveraging the large-scale parallel computing capabilities of GPUs, contemporary humanoid robots can undergo extensive parallel training in simulated environments. A physical simulation platform capable of large-scale parallel training is crucial for the ","authors_text":"Gang Han, Hao Cheng, Jiahang Cao, Jiaxu Wang, Jingkai Sun, Lingfeng Zhang, Qiang Zhang, Renjing Xu, Wen Zhao, Yijie Guo","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.RO","submitted_at":"2025-03-11T12:05:04Z","title":"LiPS: Large-Scale Humanoid Robot Reinforcement Learning with Parallel-Series Structures"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2503.08349","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:f7002aad14d2f40ef2c9d25db6b9dafa1aebee36e941e3e90e77e21a36e03790","target":"record","created_at":"2026-07-05T10:28:57Z","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":"25e10bb12b2491fafbd5bc9d9c96fdf65dc17315aa462f9c02d7dd0b2a6de7a8","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.RO","submitted_at":"2025-03-11T12:05:04Z","title_canon_sha256":"e9bca54d9f230ac23e64de2fc66ba36d202ca4f75ec18ca3930d57b5ef37b46a"},"schema_version":"1.0","source":{"id":"2503.08349","kind":"arxiv","version":1}},"canonical_sha256":"80a5892fbac6e720b011513ad407c14d32071a346b17832b5b6206f630a2fc29","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"80a5892fbac6e720b011513ad407c14d32071a346b17832b5b6206f630a2fc29","first_computed_at":"2026-07-05T10:28:57.662569Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:28:57.662569Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"38Rx/+UeT3Y6aRdN2aqNBodLaqBlXJRVIbpLwgjQqVIseJLPWlbim0r0QQ4I1S0/oLpiyr0e8uCwciStnaZ5Cw==","signature_status":"signed_v1","signed_at":"2026-07-05T10:28:57.663185Z","signed_message":"canonical_sha256_bytes"},"source_id":"2503.08349","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:f7002aad14d2f40ef2c9d25db6b9dafa1aebee36e941e3e90e77e21a36e03790","sha256:d6d5c2357e422959d986d61436af11413a1c644b2988d933a26b2a04e851162e"],"state_sha256":"d856bab4966d0d6dc884e90969b203ebae4f0e66355a66935f4d7d8499f8c000"}