{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:KT4UYVVGUGJW3XU63DZCHXMPQ3","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":"42c49ee0bf9b87dc3c7eb8e57bacff17f03be431e417c4fcc5119605714a5b15","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2022-02-01T19:56:39Z","title_canon_sha256":"06917412ed866dedf04f021fd17f5bd26f0a7402df64637ac8732188214e9278"},"schema_version":"1.0","source":{"id":"2202.00728","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2202.00728","created_at":"2026-07-05T03:53:26Z"},{"alias_kind":"arxiv_version","alias_value":"2202.00728v1","created_at":"2026-07-05T03:53:26Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2202.00728","created_at":"2026-07-05T03:53:26Z"},{"alias_kind":"pith_short_12","alias_value":"KT4UYVVGUGJW","created_at":"2026-07-05T03:53:26Z"},{"alias_kind":"pith_short_16","alias_value":"KT4UYVVGUGJW3XU6","created_at":"2026-07-05T03:53:26Z"},{"alias_kind":"pith_short_8","alias_value":"KT4UYVVG","created_at":"2026-07-05T03:53:26Z"}],"graph_snapshots":[{"event_id":"sha256:23b4262fa3a5a510e87016da39a60d20ac89812b7aa63bf02b07d894c6c1d5c6","target":"graph","created_at":"2026-07-05T03:53:26Z","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/2202.00728/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Designing physical artifacts that serve a purpose - such as tools and other functional structures - is central to engineering as well as everyday human behavior. Though automating design has tremendous promise, general-purpose methods do not yet exist. Here we explore a simple, fast, and robust approach to inverse design which combines learned forward simulators based on graph neural networks with gradient-based design optimization. Our approach solves high-dimensional problems with complex physical dynamics, including designing surfaces and tools to manipulate fluid flows and optimizing the s","authors_text":"Alvaro Sanchez-Gonzalez, Jessica Hamrick, Kelsey R. Allen, Kimberly Stachenfeld, Peter Battaglia, Tatiana Lopez-Guevara, Tobias Pfaff","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2022-02-01T19:56:39Z","title":"Physical Design using Differentiable Learned Simulators"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2202.00728","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:c037d02a70b6aa0533269babb2c104b93c3c2c3948874a8d263bf9478b3ddc15","target":"record","created_at":"2026-07-05T03:53:26Z","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":"42c49ee0bf9b87dc3c7eb8e57bacff17f03be431e417c4fcc5119605714a5b15","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2022-02-01T19:56:39Z","title_canon_sha256":"06917412ed866dedf04f021fd17f5bd26f0a7402df64637ac8732188214e9278"},"schema_version":"1.0","source":{"id":"2202.00728","kind":"arxiv","version":1}},"canonical_sha256":"54f94c56a6a1936dde9ed8f223dd8f86c9efc800a8373b299ee315d17746e957","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"54f94c56a6a1936dde9ed8f223dd8f86c9efc800a8373b299ee315d17746e957","first_computed_at":"2026-07-05T03:53:26.817014Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T03:53:26.817014Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"vAhsT6WXZYUnQe/jlks2noMjPNbqi0bqaOg2hGJjdtqOnVJYwyFM5qt7KaBnUs5dritqHIXNfyD6xV90WiPmDQ==","signature_status":"signed_v1","signed_at":"2026-07-05T03:53:26.817441Z","signed_message":"canonical_sha256_bytes"},"source_id":"2202.00728","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:c037d02a70b6aa0533269babb2c104b93c3c2c3948874a8d263bf9478b3ddc15","sha256:23b4262fa3a5a510e87016da39a60d20ac89812b7aa63bf02b07d894c6c1d5c6"],"state_sha256":"76f8df3c8f38a650b24f49ca96f64e174f46931b240e7df84d2dd0fc727205e6"}