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Paper proposes Lisp-inspired model for persistent LLM workflows

By PulseAugur Editorial · [2 sources] ·

A new paper proposes a conceptual model for representing LLM workflows as persistent knowledge objects. This approach, inspired by Lisp, aims to make workflows inspectable, resumable, and reviewable by distinguishing between deterministic computation ('derive') and LLM-mediated judgment ('infer'). The goal is to achieve semantic persistence, where workflows themselves become knowledge assets rather than just leaving traces. AI

IMPACT This research could lead to more robust and traceable LLM applications by treating workflows as first-class knowledge objects.

RANK_REASON The cluster contains a research paper published on arXiv detailing a new conceptual model for LLM workflows.

Read on arXiv cs.AI →

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

Paper proposes Lisp-inspired model for persistent LLM workflows

COVERAGE [2]

  1. arXiv cs.AI TIER_1 English(EN) · Emanuele Quinto, Carlo Andrea Rozzi, Francesco Zanitti ·

    Workflow as Knowledge: Semantic Persistence for LLM-Mediated Workflows

    arXiv:2607.08740v1 Announce Type: new Abstract: Large language model (LLM) applications increasingly use explicit workflows for tool use, retrieval, branching, checkpointing, and human approval. Existing workflow systems already address many execution concerns. This paper propose…

  2. arXiv cs.AI TIER_1 English(EN) · Francesco Zanitti ·

    Workflow as Knowledge: Semantic Persistence for LLM-Mediated Workflows

    Large language model (LLM) applications increasingly use explicit workflows for tool use, retrieval, branching, checkpointing, and human approval. Existing workflow systems already address many execution concerns. This paper proposes a Lisp-inspired but language-independent conce…

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