The Research Paper Creator is an evidence-first writing workflow. Instead of generating a paper from a prompt in one step, ZeroThink builds a source ledger, maps claims to evidence, exposes gaps, runs critique passes, and lets the researcher approve each stage before synthesis.
The aim is to support serious research drafting where provenance, structure, and human judgement matter.
Create A Research Paper
Use this as the active writing surface. It can build an evidence plan first, then a structured draft, reviewer critique, or source ledger. It can use Groq, NVIDIA, OpenAI, Gemini, xAI, and Quantum lanes when the matching keys are saved in Studio -> Neural Vault.
Research rule: the creator should never invent citations. Unknown papers, missing DOIs, or unverified URLs must be marked as placeholders or source tasks.
For OpenAI, Gemini, xAI, and Quantum lanes, the account must be Pro or the API will fall back according to the ZeroThink server rules.
Output
Ready. Start with an evidence plan, inspect the source ledger, then draft after checking the claims.
Core Workflow
Topic intake
Research question refinement
Literature search
Paper retrieval
Full-text processing
Source ledger
DOI / URL verification status
Evidence map
Claim ledger
Claim-to-evidence matrix
Provenance and citation tracking
Outline generation
Argument and counterargument pass
Methodology helper
Related work builder
Gap analysis
Ethics and reproducibility notes
Draft generation
Reviewer-style critique
Revision planning
Export to Markdown, DOCX, PDF, or LaTeX where supported
Why This Is Research-Facing
Deeper Provenance
Every source, claim, and synthesis step is tied back to a ledger where possible.
Researcher-in-the-loop Control
The researcher can steer, correct, validate, and approve before final synthesis.
Evidence-first Drafting
The workflow starts with literature and claims, not one-shot generation.
Multi-model Lanes
OpenAI, Gemini, xAI, Groq, NVIDIA, and QuantumZero can be selected for different research passes.
Structured Critique
Arguments, counterarguments, gaps, and reviewer-style critique happen before the final draft.
Nottingham Fit
This workflow supports the Nottingham research collaboration direction by connecting survey extension, topic-expert identification, generative UI, provenance tracking, and human validation into a single staged process. It is built for research teams, not just one-shot generation.
AI co-scientist workflows remain a long-term goal that becomes more credible after search, retrieval, full-text processing, evidence mapping, and provenance are stronger.