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Get Started Free →LLM prompt blocks for per-paper and corpus literature synthesis after a search pipeline. USE WHEN synthesizing arXiv/Crossref results, writing per-paper notes, thematic clusters, gap analysis from a literature corpus, or wiring template_search_project synthesis — even without naming infrastructure.llm templates.
| Test case | Without → With | Effect | Δ tokens | Δ turns |
|---|---|---|---|---|
| case-02 | ✗→✓ | ▲ Improved | 31% | 0% |
| case-03 | ✗→✓ | ▲ Improved | 3% | 0% |
| case-04 | ✗→✓ | ▲ Improved | 20% | 0% |
| case-05 | ✗→✓ | ▲ Improved | 35% | 0% |
| case-10 | ✗→✓ | ▲ Improved | -63% | 0% |
Prompt blocks for infrastructure.llm or project synthesis.py after literature search.
Each paper renders as:
text### {citation_key} — {title} ({year}) **Authors:** {authors} **DOI / URL:** {doi or url} **Abstract:** {abstract}
Structured note: CONTRIBUTION (one sentence), METHOD (2–3 bullets), EVIDENCE (2–3 bullets), LIMITATION (one bullet), TAGS (3–7 lowercase). Cite as [{citation_key}].
Group into 3–7 thematic clusters; summarise dominant approach; agreements/disagreements; 3 open questions. Cite only corpus keys in square brackets.
Given GOAL + corpus: per paper COVERS/LACKS sub-claims; propose 3 follow-up experiments. Cite by key.
temperature=0.0, seed=42 for replay.infrastructure.llm.validation.validate_complete.output/llm/ or project convention; keys match references.bib.projects/templates/template_search_project/ for wired implementation.infrastructure/search/ and project search scriptsFull prompt text and programmatic example: references/prompt-blocks.md
Other measured skills in the registry, with their headline benchmark lift.