{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:F3BZ2O6JDNTESP2OMFSWE3KNBH","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":"2f4fe8c1d3429b6ac16f3d2c3900f57bbb5ec7c3d2080884f23e0ff3dd253d43","cross_cats_sorted":["cs.CV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2026-07-02T16:40:08Z","title_canon_sha256":"d4aa4f6aea5615553444ed322f966f1fb2c54cab58b39281a77d364014e965af"},"schema_version":"1.0","source":{"id":"2607.02407","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.02407","created_at":"2026-07-03T01:17:58Z"},{"alias_kind":"arxiv_version","alias_value":"2607.02407v1","created_at":"2026-07-03T01:17:58Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.02407","created_at":"2026-07-03T01:17:58Z"},{"alias_kind":"pith_short_12","alias_value":"F3BZ2O6JDNTE","created_at":"2026-07-03T01:17:58Z"},{"alias_kind":"pith_short_16","alias_value":"F3BZ2O6JDNTESP2O","created_at":"2026-07-03T01:17:58Z"},{"alias_kind":"pith_short_8","alias_value":"F3BZ2O6J","created_at":"2026-07-03T01:17:58Z"}],"graph_snapshots":[{"event_id":"sha256:daed74bdd73d97aeb1c1fa6549a0b91b968ff9e068f20713ba49621ddcc98106","target":"graph","created_at":"2026-07-03T01:17:58Z","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/2607.02407/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Large Language Models (LLMs) have demonstrated remarkable capabilities in 3D indoor synthesis for Manhattan environments. However, existing methods often fail to capture plausible object layout patterns in non-Manhattan settings, primarily because they struggle to model non-orthogonal spatial relationships, leading to high geometric violations and low physical fidelity. To address this challenge, we propose SPG-Layout, a novel text-driven framework designed to generate physically plausible indoor scenes within complex non-Manhattan environments. Specifically, we first utilize statistical prior","authors_text":"Hangjun Ye, Jun Liu, Kai Chen, Kun Wang, Li Zhang, Long Chen, Xianhui Meng, Xiaoshuai Hao, Xiuying Chen, Yan Luo, Yongxuan Lv, Yuchen Zhang, Zirui Song","cross_cats":["cs.CV"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2026-07-02T16:40:08Z","title":"Text-Driven 3D Indoor Scene Synthesis in Non-Manhattan Environments"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.02407","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:d884d247bf0a0a6b94bc8646f8efa8043202e228bd112d6cf236632c48dae920","target":"record","created_at":"2026-07-03T01:17:58Z","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":"2f4fe8c1d3429b6ac16f3d2c3900f57bbb5ec7c3d2080884f23e0ff3dd253d43","cross_cats_sorted":["cs.CV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2026-07-02T16:40:08Z","title_canon_sha256":"d4aa4f6aea5615553444ed322f966f1fb2c54cab58b39281a77d364014e965af"},"schema_version":"1.0","source":{"id":"2607.02407","kind":"arxiv","version":1}},"canonical_sha256":"2ec39d3bc91b66493f4e6165626d4d09fc082c488b4c71dd7090319ba85fe6ab","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"2ec39d3bc91b66493f4e6165626d4d09fc082c488b4c71dd7090319ba85fe6ab","first_computed_at":"2026-07-03T01:17:58.354372Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-03T01:17:58.354372Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"UshHW270YSfmYtOZEc5pM5lMoKY6Fya1tdpPULl20blwx8Rb9HxV9oYRhEIAoADFUtRuMqxoeD9yoZofpHKlAQ==","signature_status":"signed_v1","signed_at":"2026-07-03T01:17:58.354780Z","signed_message":"canonical_sha256_bytes"},"source_id":"2607.02407","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:d884d247bf0a0a6b94bc8646f8efa8043202e228bd112d6cf236632c48dae920","sha256:daed74bdd73d97aeb1c1fa6549a0b91b968ff9e068f20713ba49621ddcc98106"],"state_sha256":"f80889f3cd6f5f46182d1ef4422ad6fc0c4a6ad61385684deb2d4b34500f9f55"}