{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2023:GDMIQ73N2YH2XLYFIAPRNDIUTV","short_pith_number":"pith:GDMIQ73N","schema_version":"1.0","canonical_sha256":"30d8887f6dd60fabaf05401f168d149d53f131c93bb732fd8648facbde839307","source":{"kind":"arxiv","id":"2310.10027","version":1},"attestation_state":"computed","paper":{"title":"RoomDesigner: Encoding Anchor-latents for Style-consistent and Shape-compatible Indoor Scene Generation","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.GR"],"primary_cat":"cs.CV","authors_text":"Jing Li, Shenghua Gao, Sixun Dong, Yiqun Zhao, Zibo Zhao","submitted_at":"2023-10-16T03:05:19Z","abstract_excerpt":"Indoor scene generation aims at creating shape-compatible, style-consistent furniture arrangements within a spatially reasonable layout. However, most existing approaches primarily focus on generating plausible furniture layouts without incorporating specific details related to individual furniture pieces. To address this limitation, we propose a two-stage model integrating shape priors into the indoor scene generation by encoding furniture as anchor latent representations. In the first stage, we employ discrete vector quantization to encode furniture pieces as anchor-latents. Based on the anc"},"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":"2310.10027","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-10-16T03:05:19Z","cross_cats_sorted":["cs.GR"],"title_canon_sha256":"47db0c2d42ed689be45cbe31b1d3bf9ea1d33237668e4930d5809dd5d8c7734e","abstract_canon_sha256":"2b590e0e2478a07b86fc0e32c9902e272b5fee0e73cc897faaa7e100a1d8de39"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T07:01:14.214325Z","signature_b64":"J0QMx+eM7n8eGNLKpB9fMCPe2NpPRGHWBoC6lcIWQb0sOyEGEkNQn4kCsI2nLfIwIl7fnIih/nsji8yY7h5ZDw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"30d8887f6dd60fabaf05401f168d149d53f131c93bb732fd8648facbde839307","last_reissued_at":"2026-07-05T07:01:14.213899Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T07:01:14.213899Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"RoomDesigner: Encoding Anchor-latents for Style-consistent and Shape-compatible Indoor Scene Generation","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.GR"],"primary_cat":"cs.CV","authors_text":"Jing Li, Shenghua Gao, Sixun Dong, Yiqun Zhao, Zibo Zhao","submitted_at":"2023-10-16T03:05:19Z","abstract_excerpt":"Indoor scene generation aims at creating shape-compatible, style-consistent furniture arrangements within a spatially reasonable layout. However, most existing approaches primarily focus on generating plausible furniture layouts without incorporating specific details related to individual furniture pieces. To address this limitation, we propose a two-stage model integrating shape priors into the indoor scene generation by encoding furniture as anchor latent representations. In the first stage, we employ discrete vector quantization to encode furniture pieces as anchor-latents. Based on the anc"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2310.10027","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/2310.10027/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":"2310.10027","created_at":"2026-07-05T07:01:14.213958+00:00"},{"alias_kind":"arxiv_version","alias_value":"2310.10027v1","created_at":"2026-07-05T07:01:14.213958+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2310.10027","created_at":"2026-07-05T07:01:14.213958+00:00"},{"alias_kind":"pith_short_12","alias_value":"GDMIQ73N2YH2","created_at":"2026-07-05T07:01:14.213958+00:00"},{"alias_kind":"pith_short_16","alias_value":"GDMIQ73N2YH2XLYF","created_at":"2026-07-05T07:01:14.213958+00:00"},{"alias_kind":"pith_short_8","alias_value":"GDMIQ73N","created_at":"2026-07-05T07:01:14.213958+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/GDMIQ73N2YH2XLYFIAPRNDIUTV","json":"https://pith.science/pith/GDMIQ73N2YH2XLYFIAPRNDIUTV.json","graph_json":"https://pith.science/api/pith-number/GDMIQ73N2YH2XLYFIAPRNDIUTV/graph.json","events_json":"https://pith.science/api/pith-number/GDMIQ73N2YH2XLYFIAPRNDIUTV/events.json","paper":"https://pith.science/paper/GDMIQ73N"},"agent_actions":{"view_html":"https://pith.science/pith/GDMIQ73N2YH2XLYFIAPRNDIUTV","download_json":"https://pith.science/pith/GDMIQ73N2YH2XLYFIAPRNDIUTV.json","view_paper":"https://pith.science/paper/GDMIQ73N","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2310.10027&json=true","fetch_graph":"https://pith.science/api/pith-number/GDMIQ73N2YH2XLYFIAPRNDIUTV/graph.json","fetch_events":"https://pith.science/api/pith-number/GDMIQ73N2YH2XLYFIAPRNDIUTV/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/GDMIQ73N2YH2XLYFIAPRNDIUTV/action/timestamp_anchor","attest_storage":"https://pith.science/pith/GDMIQ73N2YH2XLYFIAPRNDIUTV/action/storage_attestation","attest_author":"https://pith.science/pith/GDMIQ73N2YH2XLYFIAPRNDIUTV/action/author_attestation","sign_citation":"https://pith.science/pith/GDMIQ73N2YH2XLYFIAPRNDIUTV/action/citation_signature","submit_replication":"https://pith.science/pith/GDMIQ73N2YH2XLYFIAPRNDIUTV/action/replication_record"}},"created_at":"2026-07-05T07:01:14.213958+00:00","updated_at":"2026-07-05T07:01:14.213958+00:00"}