{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:VS5SQSPFMPQE7VOCCMXX57W4XN","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":"df8dd8edb12b13cab26dd4c0b84a090a1a8f18a50f8247e52c9271860063b435","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.RO","submitted_at":"2025-08-26T17:03:39Z","title_canon_sha256":"122eb02c6a7cd20b5ca75c316f0dbff5f8c1c13e5419816fe3e99c816e190f17"},"schema_version":"1.0","source":{"id":"2508.19199","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2508.19199","created_at":"2026-07-05T11:59:39Z"},{"alias_kind":"arxiv_version","alias_value":"2508.19199v1","created_at":"2026-07-05T11:59:39Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2508.19199","created_at":"2026-07-05T11:59:39Z"},{"alias_kind":"pith_short_12","alias_value":"VS5SQSPFMPQE","created_at":"2026-07-05T11:59:39Z"},{"alias_kind":"pith_short_16","alias_value":"VS5SQSPFMPQE7VOC","created_at":"2026-07-05T11:59:39Z"},{"alias_kind":"pith_short_8","alias_value":"VS5SQSPF","created_at":"2026-07-05T11:59:39Z"}],"graph_snapshots":[{"event_id":"sha256:c8000408a3ecf120fac470bc186ffb862afffaee73c38fe4a698a6c38ee00c14","target":"graph","created_at":"2026-07-05T11:59:39Z","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/2508.19199/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Efficient planning in high-dimensional spaces, such as those involving deformable objects, requires computationally tractable yet sufficiently expressive dynamics models. This paper introduces a method that automatically generates task-specific, spatially adaptive dynamics models by learning which regions of the object require high-resolution modeling to achieve good task performance for a given planning query. Task performance depends on the complex interplay between the dynamics model, world dynamics, control, and task requirements. Our proposed diffusion-based model generator predicts per-r","authors_text":"Alex LaGrassa, Dmitry Berenson, Oliver Kroemer, Zixuan Huang","cross_cats":["cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.RO","submitted_at":"2025-08-26T17:03:39Z","title":"Planning-Query-Guided Model Generation for Model-Based Deformable Object Manipulation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2508.19199","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:bd2fbdf557b5aef7c5949a257146dd0d5a98c307f02b70bc0d6955113e6f1f2b","target":"record","created_at":"2026-07-05T11:59:39Z","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":"df8dd8edb12b13cab26dd4c0b84a090a1a8f18a50f8247e52c9271860063b435","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.RO","submitted_at":"2025-08-26T17:03:39Z","title_canon_sha256":"122eb02c6a7cd20b5ca75c316f0dbff5f8c1c13e5419816fe3e99c816e190f17"},"schema_version":"1.0","source":{"id":"2508.19199","kind":"arxiv","version":1}},"canonical_sha256":"acbb2849e563e04fd5c2132f7efedcbb4c51326f4fd836fedab598cd0adb22f6","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"acbb2849e563e04fd5c2132f7efedcbb4c51326f4fd836fedab598cd0adb22f6","first_computed_at":"2026-07-05T11:59:39.468200Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:59:39.468200Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"67alwSV3fZGtrSjnl0DkHiTprXThVmbV1JUkiT7YgmXFeYMb4PfoEwc7hDabfydT8chA6gzuBBLPBlAvl4kzCQ==","signature_status":"signed_v1","signed_at":"2026-07-05T11:59:39.468697Z","signed_message":"canonical_sha256_bytes"},"source_id":"2508.19199","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:bd2fbdf557b5aef7c5949a257146dd0d5a98c307f02b70bc0d6955113e6f1f2b","sha256:c8000408a3ecf120fac470bc186ffb862afffaee73c38fe4a698a6c38ee00c14"],"state_sha256":"55bc09115fd87f20c492a6fee7b3a872895e514d2db217d9310b4dbcedeb34e0"}