{"file_id": "C12-CONSTR-RESEARCH-F01", "url": "https://arxiv.org/abs/2511.18651", "final_url": "https://arxiv.org/abs/2511.18651", "title": "Lean 5.0: A Predictive, Human-AI, and Ethically Grounded Paradigm for Construction Management (abstract page)", "accessed_at": "2026-09-25T13:00:00+0300", "format": "html", "local_path": "packets/C12-CONSTR-RESEARCH/raw/arxiv-2511.18651.html", "bytes": 40790, "sha256": "4ecfdbced6b0a12718664b03a0a368be0835af4d1845af2bd2486bf858869ad1", "http_status": 200, "availability": "saved", "linked_ids": ["C12-CONSTR-RESEARCH-W01"], "version_note": "Submitted on 23 Nov 2025, v1"}
{"file_id": "C12-CONSTR-RESEARCH-F02", "url": "https://arxiv.org/pdf/2511.18651", "final_url": "https://arxiv.org/pdf/2511.18651", "title": "Lean 5.0: A Predictive, Human-AI, and Ethically Grounded Paradigm for Construction Management (full text PDF)", "accessed_at": "2026-09-25T13:00:00+0300", "format": "pdf", "local_path": "packets/C12-CONSTR-RESEARCH/raw/arxiv-2511.18651.pdf", "bytes": 688977, "sha256": "719a15d34d04f0f4ce3830a510b2642ecc259f188babcf74c8ca84e0dd76647d", "http_status": 200, "availability": "saved", "linked_ids": ["C12-CONSTR-RESEARCH-W01"], "version_note": "18 pages; extracted to arxiv-2511.18651.extract.txt via pdftotext -layout"}
{"file_id": "C12-CONSTR-RESEARCH-F03", "url": "https://www.rics.org/news-insights/artificial-intelligence-in-construction-report", "final_url": "https://www.rics.org/news-insights/artificial-intelligence-in-construction-report", "title": "RICS artificial intelligence in construction report 2025", "accessed_at": "2026-09-25T13:00:00+0300", "format": "html", "local_path": "packets/C12-CONSTR-RESEARCH/raw/rics-ai-construction-report.html", "bytes": 328016, "sha256": "b616124235da1652e88e44e090956b30ba1346e5774b0679215504536385617b", "http_status": 200, "availability": "saved", "linked_ids": ["C12-CONSTR-RESEARCH-W02"], "version_note": "Published 12 Sep 2025 (datePublished meta); authors Anil Sawhney FRICS & Katherine Pitman"}
{"file_id": "C12-CONSTR-RESEARCH-F04", "url": "https://www.tandfonline.com/doi/full/10.1080/15623599.2026.2643738", "final_url": "https://www.tandfonline.com/doi/full/10.1080/15623599.2026.2643738", "title": "Structural investigation of Artificial Intelligence adoption challenges in developing regions (Taylor & Francis, International Journal of Construction Management) — не открылось", "accessed_at": "2026-09-25T13:00:00+0300", "format": "html", "local_path": "packets/C12-CONSTR-RESEARCH/raw/tandfonline-ai-adoption-developing.html", "bytes": 5617, "sha256": "3ed7c70eb219fcde2b0af476d7eff3caece9230a247af4d188ea3768c71dfda2", "http_status": 200, "availability": "blocked", "linked_ids": [], "version_note": "Cloudflare/бот-защита ('Just a moment...'); текст не получен, карточка не создана"}
{"file_id": "C12-CONSTR-RESEARCH-F05", "url": "https://www.frontiersin.org/journals/built-environment/articles/10.3389/fbuil.2026.1758283/xml", "final_url": "https://www.frontiersin.org/journals/built-environment/articles/10.3389/fbuil.2026.1758283/xml", "title": "Aboagye, Aigbavboa, Ametepey, Addy (2026). Strategic approaches to AI adoption in the construction industry of Ghana. Frontiers in Built Environment", "accessed_at": "2026-09-25T13:00:00+0300", "format": "xml (html-served)", "local_path": "packets/C12-CONSTR-RESEARCH/raw/frontiers-fbuil-2026.html", "bytes": 128413, "sha256": "fd4531bda7c3d9c1c64565b1510dc0d226400cf1181461d27d7e8afcf97c9954", "http_status": 200, "availability": "saved", "linked_ids": ["C12-CONSTR-RESEARCH-W03"], "version_note": "Published online 11 Mar 2026 (JATS meta); open access CC BY 4.0; extracted to frontiers-fbuil-2026.extract.txt"}
{"file_id": "C12-CONSTR-RESEARCH-F06", "url": "https://iglc.net/Papers/Details/2092", "final_url": "https://iglc.net/Papers/Details/2092", "title": "IGLC.net paper details page — Berroir, Guernaccini, Sottet (2023), On-Site Waste Management: A Use Case of Lean Construction and Artificial Intelligence Synergy", "accessed_at": "2026-09-25T13:00:00+0300", "format": "html", "local_path": "packets/C12-CONSTR-RESEARCH/raw/iglc-onsite-waste.html", "bytes": 14828, "sha256": "3530ad415e817c9ef59c218a196e0f687d1111277c0a2161abcb66bb29daf82c", "http_status": 200, "availability": "saved", "linked_ids": ["C12-CONSTR-RESEARCH-W04"], "version_note": "IGLC31 (Lille, France, 2023); DOI 10.24928/2023/0153"}
{"file_id": "C12-CONSTR-RESEARCH-F07", "url": "https://iglc.net/Papers/Details/2092/pdf", "final_url": "https://iglc.net/Papers/Details/2092/pdf", "title": "Berroir, Guernaccini, Sottet (2023) — full text PDF", "accessed_at": "2026-09-25T13:00:00+0300", "format": "pdf", "local_path": "packets/C12-CONSTR-RESEARCH/raw/iglc-onsite-waste.pdf", "bytes": 850393, "sha256": "e88d525ebbb340317c66d7cd117b5ffb31640a039ec812b25209a2eb979eca87", "http_status": 200, "availability": "saved", "linked_ids": ["C12-CONSTR-RESEARCH-W04"], "version_note": "Proceedings of IGLC31, pp.462-473; extracted to iglc-onsite-waste.extract.txt via pdftotext -layout"}