{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2026:M7RCDIGUQUSV7UMI6QJA7HCE2Z","short_pith_number":"pith:M7RCDIGU","schema_version":"1.0","canonical_sha256":"67e221a0d485255fd188f4120f9c44d66239ada26d4486dc9efd38da759b8e38","source":{"kind":"arxiv","id":"2606.23296","version":1},"attestation_state":"computed","paper":{"title":"IOI: Decoupling Kinematics and Physics for Interactive World Models","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.RO","authors_text":"Chengyu Bai, Chunkai Fan, Fangyuan Zhao, Hao Wang, Jian Tang, Jintao Chen, Peidong Jia, Rui Ma, Shanghang Zhang, Tiecheng Guo, Xiaobao Wei, Xiaozhu Ju, Ying Li, Yukai Wang","submitted_at":"2026-06-22T13:09:34Z","abstract_excerpt":"Developing generalist embodied agents requires interactive environments providing visually realistic feedback and accurate action-conditioned dynamics. Interactive world models address this by simulating such complex dynamics. However, purely data-driven methods struggle to ensure precise control alignment and physically plausible visual feedback due to a lack of explicit structural constraints. To address this, we propose IOI, a hybrid interactive world model integrating analytical kinematic priors with learned physical dynamics. Unlike data-driven approaches prone to spatiotemporal drift, IO"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2606.23296","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.RO","submitted_at":"2026-06-22T13:09:34Z","cross_cats_sorted":[],"title_canon_sha256":"1be4606bc08169bdc8a983ee5821d5f468d3ab24d392b6ecec61d606e28ca0dd","abstract_canon_sha256":"312ceb4bb6063d0716aeb5c8a1eab80231d4742efba7e32d17dbff08a4a5fdc9"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-06-23T03:14:16.178343Z","signature_b64":"RHiQoTF7bhMa5huBBvNjW9Ky1kXrDXpcEW/IhxDthZD8UnwS4ywhMEvaXJinGmDhjUwQjvjGz4kuMQYseyYrAg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"67e221a0d485255fd188f4120f9c44d66239ada26d4486dc9efd38da759b8e38","last_reissued_at":"2026-06-23T03:14:16.177919Z","signature_status":"signed_v1","first_computed_at":"2026-06-23T03:14:16.177919Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"IOI: Decoupling Kinematics and Physics for Interactive World Models","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.RO","authors_text":"Chengyu Bai, Chunkai Fan, Fangyuan Zhao, Hao Wang, Jian Tang, Jintao Chen, Peidong Jia, Rui Ma, Shanghang Zhang, Tiecheng Guo, Xiaobao Wei, Xiaozhu Ju, Ying Li, Yukai Wang","submitted_at":"2026-06-22T13:09:34Z","abstract_excerpt":"Developing generalist embodied agents requires interactive environments providing visually realistic feedback and accurate action-conditioned dynamics. Interactive world models address this by simulating such complex dynamics. However, purely data-driven methods struggle to ensure precise control alignment and physically plausible visual feedback due to a lack of explicit structural constraints. To address this, we propose IOI, a hybrid interactive world model integrating analytical kinematic priors with learned physical dynamics. Unlike data-driven approaches prone to spatiotemporal drift, IO"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.23296","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2606.23296/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"aliases":[{"alias_kind":"arxiv","alias_value":"2606.23296","created_at":"2026-06-23T03:14:16.177978+00:00"},{"alias_kind":"arxiv_version","alias_value":"2606.23296v1","created_at":"2026-06-23T03:14:16.177978+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.23296","created_at":"2026-06-23T03:14:16.177978+00:00"},{"alias_kind":"pith_short_12","alias_value":"M7RCDIGUQUSV","created_at":"2026-06-23T03:14:16.177978+00:00"},{"alias_kind":"pith_short_16","alias_value":"M7RCDIGUQUSV7UMI","created_at":"2026-06-23T03:14:16.177978+00:00"},{"alias_kind":"pith_short_8","alias_value":"M7RCDIGU","created_at":"2026-06-23T03:14:16.177978+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/M7RCDIGUQUSV7UMI6QJA7HCE2Z","json":"https://pith.science/pith/M7RCDIGUQUSV7UMI6QJA7HCE2Z.json","graph_json":"https://pith.science/api/pith-number/M7RCDIGUQUSV7UMI6QJA7HCE2Z/graph.json","events_json":"https://pith.science/api/pith-number/M7RCDIGUQUSV7UMI6QJA7HCE2Z/events.json","paper":"https://pith.science/paper/M7RCDIGU"},"agent_actions":{"view_html":"https://pith.science/pith/M7RCDIGUQUSV7UMI6QJA7HCE2Z","download_json":"https://pith.science/pith/M7RCDIGUQUSV7UMI6QJA7HCE2Z.json","view_paper":"https://pith.science/paper/M7RCDIGU","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2606.23296&json=true","fetch_graph":"https://pith.science/api/pith-number/M7RCDIGUQUSV7UMI6QJA7HCE2Z/graph.json","fetch_events":"https://pith.science/api/pith-number/M7RCDIGUQUSV7UMI6QJA7HCE2Z/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/M7RCDIGUQUSV7UMI6QJA7HCE2Z/action/timestamp_anchor","attest_storage":"https://pith.science/pith/M7RCDIGUQUSV7UMI6QJA7HCE2Z/action/storage_attestation","attest_author":"https://pith.science/pith/M7RCDIGUQUSV7UMI6QJA7HCE2Z/action/author_attestation","sign_citation":"https://pith.science/pith/M7RCDIGUQUSV7UMI6QJA7HCE2Z/action/citation_signature","submit_replication":"https://pith.science/pith/M7RCDIGUQUSV7UMI6QJA7HCE2Z/action/replication_record"}},"created_at":"2026-06-23T03:14:16.177978+00:00","updated_at":"2026-06-23T03:14:16.177978+00:00"}