{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2025:2TLNKXJ5JBSDXUMUFF3P3DO4FN","short_pith_number":"pith:2TLNKXJ5","schema_version":"1.0","canonical_sha256":"d4d6d55d3d48643bd1942976fd8ddc2b4a3164b7c47df6534d6f52062070fd8a","source":{"kind":"arxiv","id":"2506.08006","version":1},"attestation_state":"computed","paper":{"title":"Dreamland: Controllable World Creation with Simulator and Generative Models","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Bolei Zhou, Honglin He, Leon Liu, Sicheng Mo, Weizhen Wang, Ziyang Leng","submitted_at":"2025-06-09T17:59:52Z","abstract_excerpt":"Large-scale video generative models can synthesize diverse and realistic visual content for dynamic world creation, but they often lack element-wise controllability, hindering their use in editing scenes and training embodied AI agents. We propose Dreamland, a hybrid world generation framework combining the granular control of a physics-based simulator and the photorealistic content output of large-scale pretrained generative models. In particular, we design a layered world abstraction that encodes both pixel-level and object-level semantics and geometry as an intermediate representation to br"},"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":"2506.08006","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-06-09T17:59:52Z","cross_cats_sorted":[],"title_canon_sha256":"d89550ec5b64c026ff8a4adc40fb6ad4dbb644ab4cf6f4f6bb3333155819aa59","abstract_canon_sha256":"e3606bbd404b792196fb99149c8961f19e57aaaaf8758223a0589adb6ca36eeb"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:18:37.111903Z","signature_b64":"4d1y/wEgYp2y6vRxCqNY9AGn2fmx4A7TBs0iBNUCnWNi5LpgGEhvQhMbiu1PKv8+Z9Z7VgUgb7elBezgE3DUCA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"d4d6d55d3d48643bd1942976fd8ddc2b4a3164b7c47df6534d6f52062070fd8a","last_reissued_at":"2026-07-05T11:18:37.111385Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:18:37.111385Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Dreamland: Controllable World Creation with Simulator and Generative Models","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Bolei Zhou, Honglin He, Leon Liu, Sicheng Mo, Weizhen Wang, Ziyang Leng","submitted_at":"2025-06-09T17:59:52Z","abstract_excerpt":"Large-scale video generative models can synthesize diverse and realistic visual content for dynamic world creation, but they often lack element-wise controllability, hindering their use in editing scenes and training embodied AI agents. We propose Dreamland, a hybrid world generation framework combining the granular control of a physics-based simulator and the photorealistic content output of large-scale pretrained generative models. In particular, we design a layered world abstraction that encodes both pixel-level and object-level semantics and geometry as an intermediate representation to br"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.08006","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/2506.08006/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":"2506.08006","created_at":"2026-07-05T11:18:37.111443+00:00"},{"alias_kind":"arxiv_version","alias_value":"2506.08006v1","created_at":"2026-07-05T11:18:37.111443+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.08006","created_at":"2026-07-05T11:18:37.111443+00:00"},{"alias_kind":"pith_short_12","alias_value":"2TLNKXJ5JBSD","created_at":"2026-07-05T11:18:37.111443+00:00"},{"alias_kind":"pith_short_16","alias_value":"2TLNKXJ5JBSDXUMU","created_at":"2026-07-05T11:18:37.111443+00:00"},{"alias_kind":"pith_short_8","alias_value":"2TLNKXJ5","created_at":"2026-07-05T11:18:37.111443+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/2TLNKXJ5JBSDXUMUFF3P3DO4FN","json":"https://pith.science/pith/2TLNKXJ5JBSDXUMUFF3P3DO4FN.json","graph_json":"https://pith.science/api/pith-number/2TLNKXJ5JBSDXUMUFF3P3DO4FN/graph.json","events_json":"https://pith.science/api/pith-number/2TLNKXJ5JBSDXUMUFF3P3DO4FN/events.json","paper":"https://pith.science/paper/2TLNKXJ5"},"agent_actions":{"view_html":"https://pith.science/pith/2TLNKXJ5JBSDXUMUFF3P3DO4FN","download_json":"https://pith.science/pith/2TLNKXJ5JBSDXUMUFF3P3DO4FN.json","view_paper":"https://pith.science/paper/2TLNKXJ5","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2506.08006&json=true","fetch_graph":"https://pith.science/api/pith-number/2TLNKXJ5JBSDXUMUFF3P3DO4FN/graph.json","fetch_events":"https://pith.science/api/pith-number/2TLNKXJ5JBSDXUMUFF3P3DO4FN/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/2TLNKXJ5JBSDXUMUFF3P3DO4FN/action/timestamp_anchor","attest_storage":"https://pith.science/pith/2TLNKXJ5JBSDXUMUFF3P3DO4FN/action/storage_attestation","attest_author":"https://pith.science/pith/2TLNKXJ5JBSDXUMUFF3P3DO4FN/action/author_attestation","sign_citation":"https://pith.science/pith/2TLNKXJ5JBSDXUMUFF3P3DO4FN/action/citation_signature","submit_replication":"https://pith.science/pith/2TLNKXJ5JBSDXUMUFF3P3DO4FN/action/replication_record"}},"created_at":"2026-07-05T11:18:37.111443+00:00","updated_at":"2026-07-05T11:18:37.111443+00:00"}