Building Information Modeling (BIM) projects require information requirements to be described as machine-checkable Information Delivery Specification (IDS) files in order to verify whether building models contain the required attributes. However, IDS authoring remains a practical bottleneck: practitioners must handle domain vocabulary, strict XML schema constraints, and external validator conformance while also checking whether the requirement itself is correctly expressed. We present Ishigaki-IDS, an open-weight LLM specialized for verifier-aware IDS draft generation. The model combines continued pretraining on BIM/IDS corpora, supervised fine-tuning on information-requirement-to-IDS pairs, and reinforcement learning with verifiable rewards from an external validator. The goal is not to replace expert review, but to move IDS authoring from low-level XML and schema repair toward validator-loadable drafts that practitioners can inspect and correct. On the 166-case expert-created Ishigaki-IDS-Bench, Ishigaki-IDS-8B achieves an IDSAuditPass score of 0.651, a validator-pass metric for generated IDS files, substantially outperforming Claude Opus 4.5, the strongest single-shot LLM baseline we evaluated, at 0.331. It also obtains an Audit-Gated FacetF1 of 0.282, which measures requirement-facet alignment among validator-passing drafts. The same recipe scales: 14B and 32B variants reach IDSAuditPass 0.753 / 0.693 and Audit-Gated FacetF1 0.392 / 0.369. In a workflow check with six BIM practitioners, Ishigaki-assisted authoring reduced aggregate work time by 54.7% under the same validation and alignment endpoint. These results suggest that verifier-aware IDS generation can reduce the practical burden of converting BIM information requirements into reviewable IDS drafts.

翻译：建筑信息模型（BIM）项目需将信息需求描述为机器可检查的信息交付规范（IDS）文件，以验证建筑模型是否包含所需属性。然而，IDS编制仍是实践瓶颈：从业者需处理领域词汇、严格的XML模式约束及外部验证器合规性，同时检查需求本身是否表达正确。我们提出石垣-IDS（Ishigaki-IDS），一种专用于验证器感知型IDS草案生成的开放权重大语言模型。该模型结合了BIM/IDS语料库的持续预训练、信息需求到IDS对的有监督微调，以及基于外部验证器可验证奖励的强化学习。目标并非取代专家审查，而是将IDS编制从低层XML与模式修复，转向可加载至验证器的草案，供从业者审阅与修正。在166例专家创建的Ishigaki-IDS-Bench基准上，Ishigaki-IDS-8B的IDSAuditPass得分（生成的IDS文件通过验证器的指标）达0.651，显著优于最强单次模型基线Claude Opus 4.5（0.331）；其面向验证通过草案的需求面比对指标Audit-Gated FacetF1达0.282。相同配方可扩展：14B与32B变体分别达到IDSAuditPass 0.753/0.693和Audit-Gated FacetF1 0.392/0.369。在六名BIM从业者的工作流测试中，石垣辅助编制在同等验证与对齐终点下，将总工作时间减少54.7%。结果表明，验证器感知型IDS生成能降低将BIM信息需求转化为可审查IDS草案的实际负担。