{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2026:YKGQSJHC6U7KVFWSVLJUOUKLSB","short_pith_number":"pith:YKGQSJHC","schema_version":"1.0","canonical_sha256":"c28d0924e2f53eaa96d2aad347514b9054982e4fbecb1616c57f42924171a7f8","source":{"kind":"arxiv","id":"2606.31086","version":1},"attestation_state":"computed","paper":{"title":"CasaMaestro: Multi-View Panoramas for House-Scale 3D Reconstruction","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Xiaotian Yang, Yuzhou Ji, Zhipeng Zhang","submitted_at":"2026-06-30T03:21:57Z","abstract_excerpt":"The rise of home-deployed embodied AI systems is driving a growing need for fast, metric 3D reconstruction of residential spaces to support navigation, interaction, and long-horizon task execution. However, the commonly used pinhole-camera 3D reconstruction pipelines struggle to model large indoor residences efficiently due to their limited field of view, to which achieving full coverage across multiple rooms often requires thousands of images and incurs drift from long chains of incremental alignment. In this work, we present CasaMaestro (Spanish words meaning ``house'' and ``master''), a fee"},"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":"2606.31086","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-06-30T03:21:57Z","cross_cats_sorted":[],"title_canon_sha256":"fc3d79358b8314563e9e10b8fed336c4cbae2842f74d3376c25dce6f5edfce35","abstract_canon_sha256":"39a985a6768dc945f8d5ef1e083a1147d8f29efe1c64a3029558ae782443151c"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-01T01:17:28.633381Z","signature_b64":"uodrkv7EIPnAixRm4jD2dplTWWNG+ni7ARaOZ/VAG+h06YdOTkhsK09+8t53rcS5nrUVGtw4SLWpcvJP73GiCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"c28d0924e2f53eaa96d2aad347514b9054982e4fbecb1616c57f42924171a7f8","last_reissued_at":"2026-07-01T01:17:28.632969Z","signature_status":"signed_v1","first_computed_at":"2026-07-01T01:17:28.632969Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"CasaMaestro: Multi-View Panoramas for House-Scale 3D Reconstruction","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Xiaotian Yang, Yuzhou Ji, Zhipeng Zhang","submitted_at":"2026-06-30T03:21:57Z","abstract_excerpt":"The rise of home-deployed embodied AI systems is driving a growing need for fast, metric 3D reconstruction of residential spaces to support navigation, interaction, and long-horizon task execution. However, the commonly used pinhole-camera 3D reconstruction pipelines struggle to model large indoor residences efficiently due to their limited field of view, to which achieving full coverage across multiple rooms often requires thousands of images and incurs drift from long chains of incremental alignment. In this work, we present CasaMaestro (Spanish words meaning ``house'' and ``master''), a fee"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.31086","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/2606.31086/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":"2606.31086","created_at":"2026-07-01T01:17:28.633026+00:00"},{"alias_kind":"arxiv_version","alias_value":"2606.31086v1","created_at":"2026-07-01T01:17:28.633026+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.31086","created_at":"2026-07-01T01:17:28.633026+00:00"},{"alias_kind":"pith_short_12","alias_value":"YKGQSJHC6U7K","created_at":"2026-07-01T01:17:28.633026+00:00"},{"alias_kind":"pith_short_16","alias_value":"YKGQSJHC6U7KVFWS","created_at":"2026-07-01T01:17:28.633026+00:00"},{"alias_kind":"pith_short_8","alias_value":"YKGQSJHC","created_at":"2026-07-01T01:17:28.633026+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/YKGQSJHC6U7KVFWSVLJUOUKLSB","json":"https://pith.science/pith/YKGQSJHC6U7KVFWSVLJUOUKLSB.json","graph_json":"https://pith.science/api/pith-number/YKGQSJHC6U7KVFWSVLJUOUKLSB/graph.json","events_json":"https://pith.science/api/pith-number/YKGQSJHC6U7KVFWSVLJUOUKLSB/events.json","paper":"https://pith.science/paper/YKGQSJHC"},"agent_actions":{"view_html":"https://pith.science/pith/YKGQSJHC6U7KVFWSVLJUOUKLSB","download_json":"https://pith.science/pith/YKGQSJHC6U7KVFWSVLJUOUKLSB.json","view_paper":"https://pith.science/paper/YKGQSJHC","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2606.31086&json=true","fetch_graph":"https://pith.science/api/pith-number/YKGQSJHC6U7KVFWSVLJUOUKLSB/graph.json","fetch_events":"https://pith.science/api/pith-number/YKGQSJHC6U7KVFWSVLJUOUKLSB/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/YKGQSJHC6U7KVFWSVLJUOUKLSB/action/timestamp_anchor","attest_storage":"https://pith.science/pith/YKGQSJHC6U7KVFWSVLJUOUKLSB/action/storage_attestation","attest_author":"https://pith.science/pith/YKGQSJHC6U7KVFWSVLJUOUKLSB/action/author_attestation","sign_citation":"https://pith.science/pith/YKGQSJHC6U7KVFWSVLJUOUKLSB/action/citation_signature","submit_replication":"https://pith.science/pith/YKGQSJHC6U7KVFWSVLJUOUKLSB/action/replication_record"}},"created_at":"2026-07-01T01:17:28.633026+00:00","updated_at":"2026-07-01T01:17:28.633026+00:00"}