{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2026:2F46FNZRFIISVIQM6HWTFLAGJR","short_pith_number":"pith:2F46FNZR","schema_version":"1.0","canonical_sha256":"d179e2b7312a112aa20cf1ed32ac064c5b60393295a451c066bec10cb137d916","source":{"kind":"arxiv","id":"2607.26646","version":1},"attestation_state":"computed","paper":{"title":"Genie Sim PanoWorld: An Infinite Indoor 3D World Generation Pipeline via Panoramic Scene Modeling and Simulation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Feng Wang, Jialin Tang, Linjie Hou, Maoqing Yao, Qian Wang, Yongxin Su, Zhijun Li","submitted_at":"2026-07-29T09:08:16Z","abstract_excerpt":"We address the problem of reconstructing a high-fidelity, freely navigable 3D scene from a single $360^\\circ$ panorama, without per-scene optimization or multi-view capture. Existing methods either lack metric trajectory control, which hinders reliable downstream 3D reconstruction, or struggle with large disocclusions under long-range camera motion while requiring high-end multi-GPU servers.We present Genie Sim PanoWorld, a two-stage feed-forward pipeline that bridges generation and reconstruction via an explicit, trajectory-controllable panoramic video. A NavMesh-planned $\\mathrm{SE}(3)$ roam"},"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":"2607.26646","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-07-29T09:08:16Z","cross_cats_sorted":[],"title_canon_sha256":"83482b9dbbb643b59af28427eb05ce6df0d1faaf3c56843fda94b20cafe4eba1","abstract_canon_sha256":"4db86f973dd6701894e28567b99eb4a258b2d607f82ea65d5297bea8a8aa6b94"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"d179e2b7312a112aa20cf1ed32ac064c5b60393295a451c066bec10cb137d916","last_reissued_at":"2026-07-30T01:21:44.265179Z","signature_status":"unsigned_v0","first_computed_at":"2026-07-30T01:21:44.265179Z"},"graph_snapshot":{"paper":{"title":"Genie Sim PanoWorld: An Infinite Indoor 3D World Generation Pipeline via Panoramic Scene Modeling and Simulation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Feng Wang, Jialin Tang, Linjie Hou, Maoqing Yao, Qian Wang, Yongxin Su, Zhijun Li","submitted_at":"2026-07-29T09:08:16Z","abstract_excerpt":"We address the problem of reconstructing a high-fidelity, freely navigable 3D scene from a single $360^\\circ$ panorama, without per-scene optimization or multi-view capture. Existing methods either lack metric trajectory control, which hinders reliable downstream 3D reconstruction, or struggle with large disocclusions under long-range camera motion while requiring high-end multi-GPU servers.We present Genie Sim PanoWorld, a two-stage feed-forward pipeline that bridges generation and reconstruction via an explicit, trajectory-controllable panoramic video. A NavMesh-planned $\\mathrm{SE}(3)$ roam"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.26646","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/2607.26646/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":"2607.26646","created_at":"2026-07-30T01:21:44.270455+00:00"},{"alias_kind":"arxiv_version","alias_value":"2607.26646v1","created_at":"2026-07-30T01:21:44.270455+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.26646","created_at":"2026-07-30T01:21:44.270455+00:00"},{"alias_kind":"pith_short_12","alias_value":"2F46FNZRFIIS","created_at":"2026-07-30T01:21:44.270455+00:00"},{"alias_kind":"pith_short_16","alias_value":"2F46FNZRFIISVIQM","created_at":"2026-07-30T01:21:44.270455+00:00"},{"alias_kind":"pith_short_8","alias_value":"2F46FNZR","created_at":"2026-07-30T01:21:44.270455+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/2F46FNZRFIISVIQM6HWTFLAGJR","json":"https://pith.science/pith/2F46FNZRFIISVIQM6HWTFLAGJR.json","graph_json":"https://pith.science/api/pith-number/2F46FNZRFIISVIQM6HWTFLAGJR/graph.json","events_json":"https://pith.science/api/pith-number/2F46FNZRFIISVIQM6HWTFLAGJR/events.json","paper":"https://pith.science/paper/2F46FNZR"},"agent_actions":{"view_html":"https://pith.science/pith/2F46FNZRFIISVIQM6HWTFLAGJR","download_json":"https://pith.science/pith/2F46FNZRFIISVIQM6HWTFLAGJR.json","view_paper":"https://pith.science/paper/2F46FNZR","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2607.26646&json=true","fetch_graph":"https://pith.science/api/pith-number/2F46FNZRFIISVIQM6HWTFLAGJR/graph.json","fetch_events":"https://pith.science/api/pith-number/2F46FNZRFIISVIQM6HWTFLAGJR/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/2F46FNZRFIISVIQM6HWTFLAGJR/action/timestamp_anchor","attest_storage":"https://pith.science/pith/2F46FNZRFIISVIQM6HWTFLAGJR/action/storage_attestation","attest_author":"https://pith.science/pith/2F46FNZRFIISVIQM6HWTFLAGJR/action/author_attestation","sign_citation":"https://pith.science/pith/2F46FNZRFIISVIQM6HWTFLAGJR/action/citation_signature","submit_replication":"https://pith.science/pith/2F46FNZRFIISVIQM6HWTFLAGJR/action/replication_record"}},"created_at":"2026-07-30T01:21:44.270455+00:00","updated_at":"2026-07-30T01:21:44.270455+00:00"}