{ "generated_at": "2026-04-26T11:52:13.203151+08:00", "timezone": "Asia/Shanghai", "lookback_hours": 24, "sorting": { "default_sort_by": "hybrid", "summary": "hybrid (relevance first, published_at tie-break)", "weights": { "title_match_weight": 40, "summary_match_weight": 18, "doi_weight": 12, "pdf_weight": 8, "rich_summary_weight": 6, "metadata_weight": 4, "multi_source_weight": 10, "freshness_weight_cap": 24 }, "feeds": [ { "name": "LLM", "sort_by": "hybrid" }, { "name": "Vision", "sort_by": "hybrid" }, { "name": "PubMed AI", "sort_by": "hybrid" }, { "name": "OpenAlex AI", "sort_by": "hybrid" } ] }, "highlights": [ "主题「Agent」：命中 1 篇，覆盖 OpenAlex AI，代表论文包括 《SOS::LM Sequence Initializer: Semantic Process Architecture for Controlled, Traceable, and Structured Language Model Outputs》。", "主题「Evaluation」：命中 1 篇，覆盖 OpenAlex AI，代表论文包括 《SOS::LM Sequence Initializer: Semantic Process Architecture for Controlled, Traceable, and Structured Language Model Outputs》。" ], "focus_items": [], "action_items": [], "topic_sections": [ { "name": "Agent", "paper_count": 1, "feed_names": [ "OpenAlex AI" ], "paper_titles": [ "SOS::LM Sequence Initializer: Semantic Process Architecture for Controlled, Traceable, and Structured Language Model Outputs" ], "key_points": [ "《SOS::LM Sequence Initializer: Semantic Process Architecture for Controlled, Traceable, and Structured Language Model Outputs》〔评测 / 应用 / 方法〕：SOS::LM (Schloemer-Notation ::) defines a semantic process architecture for language models in which meaning is explicitly constructed prior to formulation, an…" ] }, { "name": "Evaluation", "paper_count": 1, "feed_names": [ "OpenAlex AI" ], "paper_titles": [ "SOS::LM Sequence Initializer: Semantic Process Architecture for Controlled, Traceable, and Structured Language Model Outputs" ], "key_points": [ "《SOS::LM Sequence Initializer: Semantic Process Architecture for Controlled, Traceable, and Structured Language Model Outputs》〔评测 / 应用 / 方法〕：SOS::LM (Schloemer-Notation ::) defines a semantic process architecture for language models in which meaning is explicitly constructed prior to formulation, an…" ] } ], "template": "zh_daily_brief", "feeds": [ { "name": "LLM", "key_points": [], "sort_by": "hybrid", "papers": [] }, { "name": "Vision", "key_points": [], "sort_by": "hybrid", "papers": [] }, { "name": "PubMed AI", "key_points": [], "sort_by": "hybrid", "papers": [] }, { "name": "OpenAlex AI", "key_points": [ "《SOS::LM Sequence Initializer: Semantic Process Architecture for Controlled, Traceable, and Structured Language Model Outputs》〔评测 / 应用 / 方法〕：SOS::LM (Schloemer-Notation ::) defines a semantic process architecture for language models in which meaning is explicitly constructed prior to formulation, an…" ], "sort_by": "hybrid", "papers": [ { "title": "SOS::LM Sequence Initializer: Semantic Process Architecture for Controlled, Traceable, and Structured Language Model Outputs", "summary": "SOS::LM (Schloemer-Notation ::) defines a semantic process architecture for language models in which meaning is explicitly constructed prior to formulation, and every statement is structurally validated before output. In contrast to purely probabilistic text generation, SOS::LM is based on a sequential logic of semantic initialization followed by governance. The minimal functional structure consists of: ::root → ::boot → ::init → ::core → ::::decision_logic This sequence produces the defined effect of the :: notation:structured meaning formation, disambiguation, and controlled statement generation. Concretely, this means: meaning is explicitly established before formulation terms and relations are systematically disambiguated statements are only generated after validation with respect to: admissibility (::::admissibility) uncertainty (::::probability) bias (::::bias) reception (::::rezeption) As a result, text generation is transformed into a traceable semantic process, in which structure, context, and evaluation are integral to the output. The specification is operationalized through multiple implementation variants (Core, Portable, Instruction, Minimal, and Hybrid), demonstrating that SOS::LM is not a single implementation, but a transferable functional logic. For example, the Core variant defines the fundamental governance sequence and validation rules, while the Hybrid variant introduces an additional semantic grounding layer. Extended applications arise wherever structured meaning and controlled statement generation are required, such as in agentic systems, semantic search, and context-sensitive assistance systems. These applications follow from the structural properties of the system and are not tied to any specific implementation. The :: notation only unfolds its defined effect through the described sequence. Without this structure, its use remains functionally unspecified. The specification is published under CC BY 4.0 and requires attribution.", "authors": [ "Joost H. 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