{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:XS26HYVBK7UAWGQL7GCV2ZZZY4","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":"689bebd237df76212365c2290aad244882738990028347ccc83a169c5711c2e5","cross_cats_sorted":["cs.CV","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.GR","submitted_at":"2026-06-01T01:36:44Z","title_canon_sha256":"7d7d6e4b86afb066bd4cc69c2f967d819e5f321dd9c138a224ea0d87613efee5"},"schema_version":"1.0","source":{"id":"2606.01538","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.01538","created_at":"2026-06-02T02:04:35Z"},{"alias_kind":"arxiv_version","alias_value":"2606.01538v1","created_at":"2026-06-02T02:04:35Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.01538","created_at":"2026-06-02T02:04:35Z"},{"alias_kind":"pith_short_12","alias_value":"XS26HYVBK7UA","created_at":"2026-06-02T02:04:35Z"},{"alias_kind":"pith_short_16","alias_value":"XS26HYVBK7UAWGQL","created_at":"2026-06-02T02:04:35Z"},{"alias_kind":"pith_short_8","alias_value":"XS26HYVB","created_at":"2026-06-02T02:04:35Z"}],"graph_snapshots":[{"event_id":"sha256:1046be10b5129536c659b02cc665b88fcb442c58c69260666626691870368191","target":"graph","created_at":"2026-06-02T02:04:35Z","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/2606.01538/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"To study the ability to infer physical dynamics from videos and extrapolate them forward in time, we assemble a dataset of 2D Material Point Method (MPM) physical simulations covering rich physical phenomena such as deformable objects, fluids, kinetic objects, and emitters. We study code generation and video diffusion approaches on this dataset, identifying their strengths and weaknesses by varying the amount of physically relevant side information. The code generation model, beyond giving a working demonstration of automatic synthesis of MPM simulations, reveals that such an approach struggle","authors_text":"Kevin Ellis, \\v{Z}iga Kova\\v{c}i\\v{c}","cross_cats":["cs.CV","cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.GR","submitted_at":"2026-06-01T01:36:44Z","title":"MPMWorlds: Material-Point-Method Simulations for Inferring and Extrapolating Physical Dynamics"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.01538","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":"sha256:217f5da2543e9d65e34e715128a82def35be4fdd7502c12280526801c53d6773","target":"record","created_at":"2026-06-02T02:04:35Z","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":"689bebd237df76212365c2290aad244882738990028347ccc83a169c5711c2e5","cross_cats_sorted":["cs.CV","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.GR","submitted_at":"2026-06-01T01:36:44Z","title_canon_sha256":"7d7d6e4b86afb066bd4cc69c2f967d819e5f321dd9c138a224ea0d87613efee5"},"schema_version":"1.0","source":{"id":"2606.01538","kind":"arxiv","version":1}},"canonical_sha256":"bcb5e3e2a157e80b1a0bf9855d6739c716db462a7cad51f03e29e998c4a631e6","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"bcb5e3e2a157e80b1a0bf9855d6739c716db462a7cad51f03e29e998c4a631e6","first_computed_at":"2026-06-02T02:04:35.840359Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-02T02:04:35.840359Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"+ceB+h6Frwef0+iwZnlXlajWecFXWNucn4lX1Huju+jD3pJTUWvDoZAzgpKcx/Q/Ua2FOb7dl0OiWDMiqXfCCQ==","signature_status":"signed_v1","signed_at":"2026-06-02T02:04:35.840731Z","signed_message":"canonical_sha256_bytes"},"source_id":"2606.01538","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:217f5da2543e9d65e34e715128a82def35be4fdd7502c12280526801c53d6773","sha256:1046be10b5129536c659b02cc665b88fcb442c58c69260666626691870368191"],"state_sha256":"9bf438b7a0167b875ce8a2d2bd8f4694d1dbc328df51578d0de9ea0a4e2fe74e"}