section-writing-agent

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Step 4 of the PaperOrchestra pipeline (arXiv:2604.05018). ONE single multimodal LLM call that drafts the remaining paper sections (Abstract, Methodology, Experiments, Conclusion), extracts numeric values from experimental_log.md into LaTeX booktabs tables, splices the generated figures from Step 2, and merges everything into the template that already contains Intro + Related Work from Step 3. TRIGGER when the orchestrator delegates Step 4 or when the user asks to "write the methodology and experiments sections" or "fill in the rest of the paper".

AI & Automation 643 stars 91 forks Updated 1 weeks ago NOASSERTION

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# Section Writing Agent (Step 4) Faithful implementation of the Section Writing Agent from PaperOrchestra (Song et al., 2026, arXiv:2604.05018, §4 Step 4, App. F.1 pp. 47–49). **Cost: ONE LLM call** (App. B: "Section Writing Agent (1 call): A single, comprehensive multimodal call to draft and compile the complete LaTeX manuscript"). Do NOT split this into per-section calls — the paper explicitly designs it as one comprehensive call so the model can maintain global coherence across sections. ## Inputs - `workspace/outline.json` — the master plan - `workspace/inputs/idea.md` — technical details - `workspace/inputs/experimental_log.md` — raw data for tables and qualitative analysis - `workspace/drafts/intro_relwork.tex` — the template **with Intro + Related Work already filled in by Step 3**. This is your starting point. The preamble, package list, style, and the two pre-filled sections must be preserved verbatim. - `workspace/citation_pool.json` — the citation map (`{key, title, abstract}` for each verified paper) - `workspace/refs.bib` — the BibTeX file - `workspace/inputs/conference_guidelines.md` — formatting rules - `workspace/figures/` — the actual PNG files from Step 2 (used as multimodal vision input!) - `workspace/figures/captions.json` — caption text per figure_id - `workspace/tex_profile.json` — TeX package availability flags (written by `check_tex_packages.py` at Step 0). **Read this before generating any LaTeX.** It tells you which packages are ins...

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Author
Ar9av
Repository
Ar9av/PaperOrchestra
Created
4 months ago
Last Updated
1 weeks ago
Language
Python
License
NOASSERTION

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section-writing-agent

Step 4 of the PaperOrchestra pipeline (arXiv:2604.05018). ONE single multimodal LLM call that drafts the remaining paper sections (Abstract, Methodology, Experiments, Conclusion), extracts numeric values from experimental_log.md into LaTeX booktabs tables, splices the generated figures from Step 2, and merges everything into the template that already contains Intro + Related Work from Step 3. TRIGGER when the orchestrator delegates Step 4 or when the user asks to "write the methodology and experiments sections" or "fill in the rest of the paper".

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outline-agent

Step 1 of the PaperOrchestra pipeline (arXiv:2604.05018). Convert (idea.md, experimental_log.md, template.tex, conference_guidelines.md) into a strict JSON outline containing a plotting plan, literature search plan (Intro + Related Work), and section-level writing plan with citation hints. TRIGGER when the orchestrator delegates Step 1 or when the user asks to "outline a paper from raw materials" or "generate the paper structure".

643 Updated 1 weeks ago
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AI & Automation Listed

outline-agent

Step 1 of the PaperOrchestra pipeline (arXiv:2604.05018). Convert (idea.md, experimental_log.md, template.tex, conference_guidelines.md) into a strict JSON outline containing a plotting plan, literature search plan (Intro + Related Work), and section-level writing plan with citation hints. TRIGGER when the orchestrator delegates Step 1 or when the user asks to "outline a paper from raw materials" or "generate the paper structure".

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