Hybrid Synthesis is designed for one specific problem: finding the gap where existing knowledge fails to agree. Rather than summarizing what is known, it actively searches for conflicts between sources — papers, filings, reports — and builds novel hypotheses in the space where those conflicts live. The approach is inspired by Hong-style recombinant synthesis: take heterogeneous, sometimes contradictory epistemic units and find what emerges when you force them to reconcile. Navigate to Hybrid Synthesis by selecting Hybrid Synthesis in the sidebar, or by openingDocumentation Index
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What Hybrid Synthesis produces
A completed synthesis returns:- A structured approach: the methodological framing for investigating the identified novelty
- Novel ideas with confidence scores: candidate hypotheses ranked by how strongly they pass the novelty gate
- Thesis statements: falsifiable claims derived from the synthesis, ready to record as governed claims
Providing sources
Hybrid Synthesis accepts two kinds of inputs: PDF documents and company names. You can use either or both.- PDF documents
- Company names
Upload up to 6 PDF files per synthesis run. These can be journal articles, preprints, reports, or any text-bearing document.Each PDF is run through scientific extraction to identify numeric evidence — figures, measurements, effect sizes, confidence intervals — before synthesis begins. This extraction feeds the novelty gate’s evaluation of evidence quality.
Click the upload area
In the source panel, click Upload PDFs or drag your files directly onto the dropzone.
Select up to 6 files
Choose your PDF files from your local filesystem. Files are processed in parallel during ingestion.
Research focus (optional)
You can optionally specify a research focus — a short phrase or question that guides the synthesis engine toward the region of the source material most relevant to your investigation. Without a research focus, the synthesis engine explores the full conflict space across all sources. With a focus, it prioritizes conflicts and novelty that bear on your specified question. Examples of useful research focus inputs:- “mechanisms linking neuroinflammation to synaptic pruning”
- “causal pathways between ESG disclosure and cost of capital”
- “interventions that reduce antibiotic resistance in hospital settings”
The synthesis pipeline
Once you start synthesis, Wu-Weism runs a multi-stage pipeline. Progress is shown live in the UI as each stage completes.| Stage | What happens |
|---|---|
ingestion | Sources are received and queued for processing |
pdf_parsing | PDFs are parsed; text, structure, and numeric evidence are extracted |
entity_harvest | Named entities, claims, and causal assertions are harvested from all sources |
synthesis | Conflicting claims are identified; recombinant hypothesis generation runs across the conflict space |
novelty_gate | The generated hypothesis is evaluated against a novelty criterion (see below) |
recovery_plan | If the novelty gate fails, the system attempts a recovery synthesis targeting a different conflict region |
completed | Final output is ready |
The novelty gate
The novelty gate is the quality filter that separates genuine insight from restatement. Before returning output, Wu-Weism evaluates whether the synthesized hypothesis:- Is not already explicit in any of the source documents
- Is not a trivial combination of existing claims
- Has at least one point of tension with received consensus that it resolves or reframes
completed. If it fails, the system enters recovery_plan — a second synthesis pass that targets a different conflict region in the corpus. The recovery output is also evaluated by the novelty gate before being returned.
The novelty gate is conservative by design. It is better to return a narrower, well-supported novel claim than a broader, weakly-supported one. A recovery plan result is not a failure — it simply reflects that the first synthesis pass produced something the system judged as insufficiently novel.
Claim recording
After synthesis completes, the highest-confidence novel claim is automatically written to your Claim Ledger. You can review, annotate, and export it from there. All other generated claims appear in the synthesis output panel and can be manually added to the Claim Ledger by clicking Record claim next to each one.Related pages
PDF Synthesis
Single-document causal extraction — a lighter-weight alternative when you have one source.
Claim Ledger
Understand how recorded claims are governed, annotated, and exported.
Causal Workbench
Use the Causal Workbench to interrogate a synthesized hypothesis with SCM-backed dialogue.
Epistemic Dashboard
Track the epistemic quality of your synthesis outputs over time.