{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:YJR77OQLXDXZOX22ZXCTZOZKEQ","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":"2b47df0538d777acd90d584b2c92c6e244900d9ef6d5b7103a55cc863cf6b0d6","cross_cats_sorted":["cs.AI","cs.GR","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.RO","submitted_at":"2025-08-21T17:54:41Z","title_canon_sha256":"35283701da165ba118595f64f3d99938a2b9478b8c51e31706f22753b356b79f"},"schema_version":"1.0","source":{"id":"2508.15755","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2508.15755","created_at":"2026-07-05T11:57:18Z"},{"alias_kind":"arxiv_version","alias_value":"2508.15755v1","created_at":"2026-07-05T11:57:18Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2508.15755","created_at":"2026-07-05T11:57:18Z"},{"alias_kind":"pith_short_12","alias_value":"YJR77OQLXDXZ","created_at":"2026-07-05T11:57:18Z"},{"alias_kind":"pith_short_16","alias_value":"YJR77OQLXDXZOX22","created_at":"2026-07-05T11:57:18Z"},{"alias_kind":"pith_short_8","alias_value":"YJR77OQL","created_at":"2026-07-05T11:57:18Z"}],"graph_snapshots":[{"event_id":"sha256:3a012ba5c59663666d4878299b145f489bbba53e9b106677c2790fe17d00237d","target":"graph","created_at":"2026-07-05T11:57:18Z","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/2508.15755/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Accurate and efficient simulation of modern robots remains challenging due to their high degrees of freedom and intricate mechanisms. Neural simulators have emerged as a promising alternative to traditional analytical simulators, capable of efficiently predicting complex dynamics and adapting to real-world data; however, existing neural simulators typically require application-specific training and fail to generalize to novel tasks and/or environments, primarily due to inadequate representations of the global state. In this work, we address the problem of learning generalizable neural simulato","authors_text":"Dieter Fox, Eric Heiden, Iretiayo Akinola, Jie Xu, Miles Macklin, Yashraj Narang","cross_cats":["cs.AI","cs.GR","cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.RO","submitted_at":"2025-08-21T17:54:41Z","title":"Neural Robot Dynamics"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2508.15755","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:b892a2731efc5f3139180f0f31050b467a2a33ad4f8f60e6eb74d238308f59e9","target":"record","created_at":"2026-07-05T11:57:18Z","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":"2b47df0538d777acd90d584b2c92c6e244900d9ef6d5b7103a55cc863cf6b0d6","cross_cats_sorted":["cs.AI","cs.GR","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.RO","submitted_at":"2025-08-21T17:54:41Z","title_canon_sha256":"35283701da165ba118595f64f3d99938a2b9478b8c51e31706f22753b356b79f"},"schema_version":"1.0","source":{"id":"2508.15755","kind":"arxiv","version":1}},"canonical_sha256":"c263ffba0bb8ef975f5acdc53cbb2a240576952b74da148c43ed3acc5f94da72","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"c263ffba0bb8ef975f5acdc53cbb2a240576952b74da148c43ed3acc5f94da72","first_computed_at":"2026-07-05T11:57:18.259437Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:57:18.259437Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"GkAdZ8gFH2PozrCXtCt8XnLQ4GT3NuTCDpgrPC/dLpzzXyitUoRKOlaoyNYrJWYlzpB7JV/FbRsemstu0K7/CQ==","signature_status":"signed_v1","signed_at":"2026-07-05T11:57:18.259874Z","signed_message":"canonical_sha256_bytes"},"source_id":"2508.15755","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:b892a2731efc5f3139180f0f31050b467a2a33ad4f8f60e6eb74d238308f59e9","sha256:3a012ba5c59663666d4878299b145f489bbba53e9b106677c2790fe17d00237d"],"state_sha256":"c383bb2ecced9135eddab5cd39c3edd2aaebfe184ca0d8c5cae6b8b054f9c2d6"}