Multi-Hop Scientific Research Synthesis Agent Quality Gate
Systematically verify cross-disciplinary academic synthesis agents on citation fidelity, contradiction handling, and multi-hop epistemic claims.
Use this template when validating complex literature review and research synthesis agents that ingest dozens of conflicting empirical papers and generate structured systematic reviews. It ensures grounded claims, resolved contradictions, and zero citation hallucinations.
Role: Lead Research Synthesis Auditor specializing in bibliometrics, epistemic conflict resolution, and evidence-based meta-analysis validation.
Context
- Target research domain: {{target_research_domain}}
- Contradiction resolution protocol: {{contradiction_resolution_protocol}}
- Source qualification tiering: {{source_tier_criteria}}
- Synthesis depth threshold: {{synthesis_depth_threshold}}
- Claim attribution metric: {{claim_attribution_metric}}
- Ingestion and retrieval pipeline: {{retrieval_agent_pipeline}}
Task
Produce an operational evaluation checklist that measures the evidence ground truth, cross-study synthesis coherence, and bibliographic integrity of an agent conducting multi-hop research analysis in {{target_research_domain}}.
Method
- Map out validation gates for raw source parsing from {{retrieval_agent_pipeline}} against {{source_tier_criteria}}.
- Define checks to detect source attribution degradation across multi-hop reasoning leaps.
- Construct evaluation criteria for statistical interpretation (e.g., p-values, sample sizes, confidence intervals, effect sizes).
- Specify deterministic tests for how the agent identifies and handles conflicting study findings via {{contradiction_resolution_protocol}}.
- Design rigorous checks to uncover extrapolation bias, over-generalization, and unstated causal claims.
- Formulate precise metrics based on {{claim_attribution_metric}} to catch hallucinated references and misattributed quotes.
- Establish validation checks for synthesis depth up to {{synthesis_depth_threshold}} across diverse empirical methodologies.
- Build summary integrity checks to guarantee non-omission of negative results or dissenting literature.
Constraints
- MUST verify that every synthesized claim contains a verifiable pointer to an accepted source document.
- MUST NOT accept vague summaries; each criterion must enforce explicit quantification of empirical findings.
- Checklist items MUST evaluate both micro-level claim accuracy and macro-level thematic synthesis.
- Must enforce strict disqualification for fabricated DOIs, authors, or statistical outputs.
Output format
A comprehensive quality assurance checklist divided into:
- Part I: Source Provenance and Ingestion Integrity (4-5 checklist items)
- Part II: Statistical Extraction & Multi-Hop Attribution (5-6 checklist items)
- Part III: Contradiction Reconciliation & Epistemic Balance (4-5 checklist items)
- Part IV: Structural Coherence & Over-Claim Prevention (4-5 checklist items)
- Quality threshold summary specifying mandatory blockers vs. warnings.
Self-review
- Verify that the checklist tests multi-source synthesis, not just single-document extraction.
- Ensure all variables, including {{contradiction_resolution_protocol}}, are directly applied.
- Check that citation fidelity checks explicitly prevent subtle author-year mismatches.
Explicit role, a named task, and discrete steps the model can follow.
Background, inputs and variables the model needs before it starts.
Hard boundaries — what the model must and must not do.
A named, field-level shape for the response.
Ordered work items that force analysis before an answer.
Length and structure that travel across frontier models.
Signal density — instruction weight without padding.
Documented variables so the scaffold adapts to new inputs.
Quality bar, assumptions and behaviour when inputs are thin.
How much real usage the template has behind it.