{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:45ZVAN3GZHPM5XPIIZQIMWAVZX","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":"5c24593766871b24142c2952cb56424819106c93098f21f8a5db5396199c4b7c","cross_cats_sorted":["cs.CV"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.RO","submitted_at":"2026-07-01T16:52:49Z","title_canon_sha256":"332b8a764caaf49830a3cb7ad06a87021f4de1cba3348332be7e6007b0202a8d"},"schema_version":"1.0","source":{"id":"2607.01166","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.01166","created_at":"2026-07-02T01:18:30Z"},{"alias_kind":"arxiv_version","alias_value":"2607.01166v1","created_at":"2026-07-02T01:18:30Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.01166","created_at":"2026-07-02T01:18:30Z"},{"alias_kind":"pith_short_12","alias_value":"45ZVAN3GZHPM","created_at":"2026-07-02T01:18:30Z"},{"alias_kind":"pith_short_16","alias_value":"45ZVAN3GZHPM5XPI","created_at":"2026-07-02T01:18:30Z"},{"alias_kind":"pith_short_8","alias_value":"45ZVAN3G","created_at":"2026-07-02T01:18:30Z"}],"graph_snapshots":[{"event_id":"sha256:037520a2ebb53f9f091d1b77e56e4019a294a82967051e073c81d0bf5ec72789","target":"graph","created_at":"2026-07-02T01:18:30Z","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/2607.01166/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Video predictive models are emerging as a powerful paradigm in robotics, offering a promising path toward task generalization, long-horizon planning, and flexible decision-making. However, prevailing approaches often operate on 2D video sequences, inherently lacking the 3D geometric understanding necessary for precise spatial reasoning and physical consistency. We introduce a Structured 4D Latent Predictive Model, which predicts the evolution of a scene's 3D structure in a structured latent space conditioned on observations and textual instructions. Our representation encodes the scene holisti","authors_text":"Peilin Wu, Ruojin Cai, Xiaoshen Han, Yilun Du, Zhiyi Li","cross_cats":["cs.CV"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.RO","submitted_at":"2026-07-01T16:52:49Z","title":"Structured 4D Latent Predictive Model for Robot Planning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.01166","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:ab4034010420bf0244fb5c4620de2fbc7c3dc733e441f39eaa867e7f0323f718","target":"record","created_at":"2026-07-02T01:18:30Z","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":"5c24593766871b24142c2952cb56424819106c93098f21f8a5db5396199c4b7c","cross_cats_sorted":["cs.CV"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.RO","submitted_at":"2026-07-01T16:52:49Z","title_canon_sha256":"332b8a764caaf49830a3cb7ad06a87021f4de1cba3348332be7e6007b0202a8d"},"schema_version":"1.0","source":{"id":"2607.01166","kind":"arxiv","version":1}},"canonical_sha256":"e773503766c9decedde84660865815cdeb977a4eddc26ce110f593cd0910c75f","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"e773503766c9decedde84660865815cdeb977a4eddc26ce110f593cd0910c75f","first_computed_at":"2026-07-02T01:18:30.987868Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-02T01:18:30.987868Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"V7X4Nmbbc4MA8NHNPqDal28WNbthWCZ0mQlXTWPNPh2CzZLH3korYtHrZYj3VCcPknNcYaRpgKTkkearykNwBw==","signature_status":"signed_v1","signed_at":"2026-07-02T01:18:30.988300Z","signed_message":"canonical_sha256_bytes"},"source_id":"2607.01166","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:ab4034010420bf0244fb5c4620de2fbc7c3dc733e441f39eaa867e7f0323f718","sha256:037520a2ebb53f9f091d1b77e56e4019a294a82967051e073c81d0bf5ec72789"],"state_sha256":"811af1a0a3a6f8d0e6f0aa1385bdd8f224131623898b4c7129e18d7e51f944b2"}