{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:K2T5QKQRHJS27NPQZRJ2BQZV6J","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"6b628834628523d333871fa8a2689c5f60e6147f2bff8dbd37aba4585d095ff5","cross_cats_sorted":["cs.GR"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-05-18T14:18:36Z","title_canon_sha256":"3710f9a7c585670edacd99688928673f890af89a80a22b584c2ef7fa58f8edaf"},"schema_version":"1.0","source":{"id":"2605.18451","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.18451","created_at":"2026-05-20T00:06:01Z"},{"alias_kind":"arxiv_version","alias_value":"2605.18451v1","created_at":"2026-05-20T00:06:01Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.18451","created_at":"2026-05-20T00:06:01Z"},{"alias_kind":"pith_short_12","alias_value":"K2T5QKQRHJS2","created_at":"2026-05-20T00:06:01Z"},{"alias_kind":"pith_short_16","alias_value":"K2T5QKQRHJS27NPQ","created_at":"2026-05-20T00:06:01Z"},{"alias_kind":"pith_short_8","alias_value":"K2T5QKQR","created_at":"2026-05-20T00:06:01Z"}],"graph_snapshots":[{"event_id":"sha256:6eb3fbaa83f24fbe0601a292fe1e1e9ba484c821719abe7a008efe9655b05ec4","target":"graph","created_at":"2026-05-20T00:06:01Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2605.18451/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Designing realistic and functional 3D indoor rooms is essential for a wide range of applications, including interior design, virtual reality, gaming, and embodied AI. While recent MLLM-based approaches have shown great potential for 3D room synthesis from textual descriptions or reference images, text-based methods struggle to capture precise spatial information, and existing image-conditioned agents suffer from instability and infinite looping when tasked with holistic room generation from top-down views. To address these limitations, we propose Code-as-Room, an MLLM-based agentic framework e","authors_text":"Jinghao Yan, Jinkun Hao, Junru Lu, Wanshui Gan, Xudong Xu, Yixuan Yang, Zhaoyang Lyu, Zhen Luo","cross_cats":["cs.GR"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-05-18T14:18:36Z","title":"Code-as-Room: Generating 3D Rooms from Top-Down View Images via Agentic Code Synthesis"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.18451","kind":"arxiv","version":1},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:60aa587742a0ca82e6a2b405aaa25e8dc58707e7fc3e536c11f46ac38010b174","target":"record","created_at":"2026-05-20T00:06:01Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"6b628834628523d333871fa8a2689c5f60e6147f2bff8dbd37aba4585d095ff5","cross_cats_sorted":["cs.GR"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-05-18T14:18:36Z","title_canon_sha256":"3710f9a7c585670edacd99688928673f890af89a80a22b584c2ef7fa58f8edaf"},"schema_version":"1.0","source":{"id":"2605.18451","kind":"arxiv","version":1}},"canonical_sha256":"56a7d82a113a65afb5f0cc53a0c335f249fc769e250988af4bbf58d6f8dbfedb","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"56a7d82a113a65afb5f0cc53a0c335f249fc769e250988af4bbf58d6f8dbfedb","first_computed_at":"2026-05-20T00:06:01.751965Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-20T00:06:01.751965Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"iVDUn//XLZCcvfUAsDOD1RbOYa9hoFydnbDjO63qcnV06g2PQjaM4rQ4l680kl/VExMkFLZ6KwJkD6tayc49Aw==","signature_status":"signed_v1","signed_at":"2026-05-20T00:06:01.752901Z","signed_message":"canonical_sha256_bytes"},"source_id":"2605.18451","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:60aa587742a0ca82e6a2b405aaa25e8dc58707e7fc3e536c11f46ac38010b174","sha256:6eb3fbaa83f24fbe0601a292fe1e1e9ba484c821719abe7a008efe9655b05ec4"],"state_sha256":"04befa380868daa9bd6ac2dfcb5d2d01d2df969cdcd290e3216aa1960c9c5aad"}