CitedResearch

CitedResearch - Source-Cited Research Output

Generate research outputs with proper inline citations and source tables for PE investment research.

Citation Format

Hybrid approach:

1. Inline citations on key statistics and claims: [value](url)
2. Sources table at bottom with reliability ratings

Inline Citation Rules

# Good - key stats linked
Market size is [$209B](https://source.com/report) with [7.9% CAGR](https://source.com/growth).

# Bad - clutters reading
According to [Grand View Research](https://...), the market [size](https://...) is [$209B](https://...) and growing at [7.9%](https://...) [CAGR](https://...).

When to inline cite:

• Market size figures
• Growth rates / CAGR
• Company counts / statistics
• Percentages from studies
• Geographic concentration data
• Succession/demographic figures

When NOT to inline cite:

• General statements of fact
• Logical conclusions
• Internal analysis
• Qualitative assessments

Sources Table Format

## Sources

| Source | Type | Reliability | Key Data |
|--------|------|-------------|----------|
| [KfW Research](url) | Government | ⭐⭐⭐⭐⭐ | Succession stats |
| [PitchBook](url) | Financial Data | ⭐⭐⭐⭐⭐ | PE activity |
| [Industry Report](url) | Market Research | ⭐⭐⭐⭐ | Market sizing |

Reliability Ratings:

• ⭐⭐⭐⭐⭐ - Government, major financial data (KfW, Destatis, PitchBook)
• ⭐⭐⭐⭐ - Industry reports, advisory firms (McKinsey, Rödl, IMAP)
• ⭐⭐⭐ - Trade publications, news sources
• ⭐⭐ - Company websites, press releases
• ⭐ - Blogs, unverified sources

Research Note Templates

Sector Analysis (SECT-XXX)

---
id: SECT-XXX
type: sector
created: {{date}}
tags: [sector, {{industry}}, {{geography}}]
thesis_fit: high|medium|low
---

# SECT-XXX - {{Sector Name}}

## Executive Summary
[2-3 sentences with inline citations on key stats]

## Market Overview
### Market Size & Growth
| Metric | Value | Source |
[All values should be inline linked]

### Geographic Concentration
[Regional data with citations]

## Succession Dynamics
[Statistics with KfW/government sources]

## 4M Framework Assessment
[Internal analysis - no citations needed]

## Sources
[Full sources table with reliability]

Company Research (COMP-XXX)

---
id: COMP-XXX
type: company
tags: [company, {{sector}}, {{status}}]
---

# COMP-XXX - {{Company Name}}

## Overview
[Basic info with website link]

## Financial Summary
| Metric | Value | Source |
[Revenue, EBITDA, margins - cite if public]

## Thesis Fit
[Internal analysis]

## Sources
[Sources table]

Usage

With Helias/PAI

When I conduct research, I will automatically:

1. Collect sources during web searches
2. Apply inline citations to key statistics
3. Generate sources table with reliability ratings
4. Follow the appropriate template

Example Command

"Research [topic] for the investment thesis"
→ Produces fully cited sector note

"Create a sector analysis of [industry] in [geography]"
→ SECT-XXX note with 4M framework and citations

Integration with Existing Skills

With Fabric

Fabric patterns can pre-process content, then CitedResearch formats the output:

# Extract insights, then format with citations
fabric -p extract_article_wisdom < article.txt | \
  bun run CitedResearch/tools/FormatCited.ts --template sector

With ObsidianSync

Research notes are automatically routed:

• Sector analyses → 03-Resources/Sectors/
• Company research → 03-Resources/Companies/
• Market reports → 03-Resources/Research/

Source Collection Guidelines

During Research

1. Track all sources - save URL + key data point
2. Verify reliability - cross-reference claims
3. Prefer primary - government > advisory > news
4. Note access date - markets change

Source Types by Priority

Quick Reference

Inline cite:

• Numbers, percentages, counts
• Market sizes, growth rates
• Geographic concentrations
• Survey results

Don't inline cite:

• Your analysis
• Logical conclusions
• General knowledge
• Internal assessments

Sources table always includes:

• Clickable link
• Source type
• Reliability rating
• What data it provides

Source Freshness Requirements

All cited statistics must meet freshness thresholds:

Reject sources that exceed max age for data type.

DACH-First Source Priority

When researching DACH markets, always check German sources first before international alternatives.

Tier 1 - German Government & Official (⭐⭐⭐⭐⭐)

Tier 2 - DACH M&A Intelligence (⭐⭐⭐⭐⭐)

Tier 2 - Credit & Risk Intelligence (⭐⭐⭐⭐⭐)

Creditreform Data Available

Company Intelligence:

• Credit rating (1-600 scale, 600 = best)
• Payment behavior index
• Insolvency probability
• Management/ownership changes
• Company financials (when filed)

Due Diligence Use Cases:

• Pre-acquisition credit check
• Supplier/customer risk assessment
• Management background verification
• Financial health monitoring

API Integration: Creditreform offers API access for programmatic queries. Contact sales for enterprise pricing.

Tier 3 - Industry Associations (⭐⭐⭐⭐)

Tier 4 - Business Media (⭐⭐⭐)

Research Verification Protocol

Before citing ANY statistic:

1. Date Check - Verify publication date is within max age for data type
2. Source Tier - Prefer Tier 1-2 over Tier 3-4
3. DACH Priority - Use German source if available before international
4. Cross-Reference - Major claims need 2+ independent sources
5. Access Date - Always note when source was accessed

Sources Table Enhanced Format

## Sources

| Source | Type | Reliability | Published | Accessed | Key Data |
|--------|------|-------------|-----------|----------|----------|
| [KfW Nachfolge-Monitor](url) | Government | ⭐⭐⭐⭐⭐ | 2025-09 | 2026-01-06 | Succession stats |
| [PitchBook PE Report](url) | Financial | ⭐⭐⭐⭐⭐ | 2025-Q4 | 2026-01-06 | Deal activity |

Freshness Indicators in Notes

Add freshness status to sources:

• ✅ Fresh (within max age)
• ⚠️ Aging (within 2x max age)
• ❌ Stale (exceeds 2x max age - do not use)

Available Tools

ValidateSources.ts

Validate source freshness against data type rules.

bun run ValidateSources.ts https://kfw.de/report --type succession_stats

PENewsFeed.ts

Aggregate DACH PE/M&A news from 5 RSS sources with relevance scoring.

# Fetch latest high-relevance PE news
bun run PENewsFeed.ts --since 24h --min-relevance 5

# Filter for succession-related news
bun run PENewsFeed.ts --filter nachfolge

# Output JSON for programmatic use
bun run PENewsFeed.ts --json

Sources: Finance Magazin, Private Equity Magazin, Handelsblatt, Manager Magazin, WirtschaftsWoche

Relevance Scoring:

• 🔥 10+ points: PE-specific terms (buyout, nachfolge, beteiligung)
• 📊 5+ points: M&A terms (deal, transaktion, investor)

HandelsregisterLookup.ts

German company registry lookup helper - generates URLs and data templates.

# Search by company name
bun run HandelsregisterLookup.ts "Bosch GmbH"

# Filter by city
bun run HandelsregisterLookup.ts "Siemens" --city München

# Get blank data template
bun run HandelsregisterLookup.ts --template

Data Sources:

• unternehmensregister.de - Official portal
• handelsregister.de - Direct registry
• bundesanzeiger.de - Public filings

Available Data:

• HRB number, registry court, legal form
• Registered capital, company purpose
• Management, shareholders (when filed)
• Annual financial statements