{"file_id": "P24-SCI-MFG-F01", "url": "https://arxiv.org/pdf/2509.18400", "final_url": "https://arxiv.org/pdf/2509.18400", "title": "ATLAS: Benchmarking and Adapting LLMs for Global Trade via Harmonized Tariff Code Classification", "accessed_at": "2026-09-24T23:15Z", "format": "pdf", "local_path": "packets/P24-SCI-MFG/raw/2509.18400.pdf", "bytes": 243558, "sha256": "0151a30c65835a408d762702d16a7a102e1453fe6bd72a4f48425ffd99d17b33", "http_status": 200, "availability": "saved", "linked_ids": ["P24-SCI-MFG-W01"], "version_note": "v1, submitted 22 Sep 2025; abs page saved as raw/abs-2509.18400.html; extract raw/2509.18400.extract.txt"}
{"file_id": "P24-SCI-MFG-F02", "url": "https://arxiv.org/pdf/2605.14857", "final_url": "https://arxiv.org/pdf/2605.14857", "title": "A Deterministic Agentic Workflow for HS Tariff Classification: Multi-Dimensional Rule Reasoning with Interpretable Decisions", "accessed_at": "2026-09-24T23:15Z", "format": "pdf", "local_path": "packets/P24-SCI-MFG/raw/2605.14857.pdf", "bytes": 321474, "sha256": "f9ffc46c3903ad792ecc4e1eeb08b06c73eb37c6ad9ae154dcc2bce008b1ec45", "http_status": 200, "availability": "saved", "linked_ids": ["P24-SCI-MFG-W02"], "version_note": "v1, submitted 14 May 2026; abs page saved as raw/abs-2605.14857.html; extract raw/2605.14857.extract.txt"}
{"file_id": "P24-SCI-MFG-F03", "url": "https://arxiv.org/pdf/2609.20535", "final_url": "https://arxiv.org/pdf/2609.20535", "title": "FreqCondNorm: Towards Cross-domain Predictive Maintenance through a Frequency-Conditioned Transformer Foundation Model", "accessed_at": "2026-09-24T23:15Z", "format": "pdf", "local_path": "packets/P24-SCI-MFG/raw/2609.20535.pdf", "bytes": 173601, "sha256": "cb976d67c83c6dc1f68158ae50e77782041143d796eedc7556dc9db5018f2aa2", "http_status": 200, "availability": "saved", "linked_ids": ["P24-SCI-MFG-W03"], "version_note": "v1, submitted 17 Sep 2026; abs page saved as raw/abs-2609.20535.html; extract raw/2609.20535.extract.txt"}
{"file_id": "P24-SCI-MFG-F04", "url": "https://arxiv.org/pdf/2608.09343", "final_url": "https://arxiv.org/pdf/2608.09343", "title": "LLM-Guided Heuristic Design from Simulation Traces: A Case Study in Dynamic Production and AGV Scheduling", "accessed_at": "2026-09-24T23:15Z", "format": "pdf", "local_path": "packets/P24-SCI-MFG/raw/2608.09343.pdf", "bytes": 4595467, "sha256": "f07f7cd76603e20844fad52d434f567334e1fc2c561a7bc8b01b950115703ab5", "http_status": 200, "availability": "saved", "linked_ids": ["P24-SCI-MFG-W04"], "version_note": "v1, submitted 10 Aug 2026; abs page saved as raw/abs-2608.09343.html; extract raw/2608.09343.extract.txt"}
{"file_id": "P24-SCI-MFG-F05", "url": "https://arxiv.org/pdf/2607.28126", "final_url": "https://arxiv.org/pdf/2607.28126", "title": "ConMem: Contribution-Aware Memory for Long-Horizon Manufacturing Inspection Logs", "accessed_at": "2026-09-24T23:16Z", "format": "pdf", "local_path": "packets/P24-SCI-MFG/raw/2607.28126.pdf", "bytes": 2783873, "sha256": "48cd17c74de1d13d1554cef15e02cb00b8c3e74862a973b8709ab8feade78ba2", "http_status": 200, "availability": "saved", "linked_ids": ["P24-SCI-MFG-W05"], "version_note": "v2 (10 Aug 2026), first version v1 30 Jul 2026; abs page saved as raw/abs-2607.28126.html; extract raw/2607.28126.extract.txt"}
{"file_id": "P24-SCI-MFG-F06", "url": "https://arxiv.org/pdf/2509.03811", "final_url": "https://arxiv.org/pdf/2509.03811", "title": "Rethinking Supply Chain Planning: A Generative Paradigm", "accessed_at": "2026-09-24T23:15Z", "format": "pdf", "local_path": "packets/P24-SCI-MFG/raw/2509.03811.pdf", "bytes": 487718, "sha256": "dff7058d4a0f84d25018865636fb4e47b87902db72e41e5076f453aa3d9042a7", "http_status": 200, "availability": "saved", "linked_ids": ["P24-SCI-MFG-W06"], "version_note": "v2 (9 Jan 2026), first version v1 4 Sep 2025; abs page saved as raw/abs-2509.03811.html; extract raw/2509.03811.extract.txt"}
{"file_id": "P24-SCI-MFG-F07", "url": "https://arxiv.org/pdf/2605.20849", "final_url": "https://arxiv.org/pdf/2605.20849", "title": "Large Language Models for Operations Research: A Comprehensive Survey", "accessed_at": "2026-09-24T23:15Z", "format": "pdf", "local_path": "packets/P24-SCI-MFG/raw/2605.20849.pdf", "bytes": 3639592, "sha256": "97fb1deaf22d2dc2b8b683af04784bc3f1e010e1c4bb8070693aa84584bfeaf7", "http_status": 200, "availability": "saved", "linked_ids": ["P24-SCI-MFG-W07"], "version_note": "v1, submitted 20 May 2026; abs page saved as raw/abs-2605.20849.html; extract raw/2605.20849.extract.txt"}
{"file_id": "P24-SCI-MFG-F08", "url": "https://arxiv.org/pdf/2509.26482", "final_url": "https://arxiv.org/pdf/2509.26482", "title": "TVS Sidekick: Challenges and Practical Insights from Deploying Large Language Models in the Enterprise", "accessed_at": "2026-09-24T23:15Z", "format": "pdf", "local_path": "packets/P24-SCI-MFG/raw/2509.26482.pdf", "bytes": 667092, "sha256": "7d62bd54d93c0fe1e97e1119f08ef137490ffde94fa2cb2e5d16aabacbbce962", "http_status": 200, "availability": "saved", "linked_ids": ["P24-SCI-MFG-W08"], "version_note": "v1, submitted 30 Sep 2025; accepted at EthicalLLMs@RANLP2025 (per arXiv comments field); abs page saved as raw/abs-2509.26482.html; extract raw/2509.26482.extract.txt"}
{"file_id": "P24-SCI-MFG-F09", "url": "https://www.tandfonline.com/doi/abs/10.1080/00207543.2026.2619562", "final_url": "https://www.tandfonline.com/doi/abs/10.1080/00207543.2026.2619562", "title": "Leveraging large language models to enhance multi-agent risk assessment in supply chain networks (International Journal of Production Research, 2026)", "accessed_at": "2026-09-24T23:15Z", "format": "html", "local_path": "packets/P24-SCI-MFG/raw/mars-ijpr-2619562.html", "bytes": 5870, "sha256": "2d3fb856e4f8626bedce77a3b300a40286e5277db8910efe2db8372d073975f7", "http_status": 403, "availability": "blocked", "linked_ids": [], "version_note": "Cloudflare bot-challenge page ('Just a moment...'), НЕ статья: sha256 относится к сохранённой заглушке (5870 байт), не к тексту публикации. Карточка не создана, материал не прочитан. См. notes.md."}