Evidence

Context Block

Page Type: System Layer (Evidence Core)
Function: Truth Grounding Engine
Position: Post-retrieval, pre-answer generation
Role: Validates and structures all supporting information used in outputs

This layer defines what is considered acceptable support for any system-generated answer. Without this layer, retrieval outputs remain unverified and non-auditable.

Core Objective

• Establish verifiable grounding for all outputs
• Structure and classify incoming information sources
• Score reliability and authority of evidence
• Detect conflicting or low-quality sources
• Enable traceable reasoning from input to output

Evidence Architecture

1. Evidence Ingestion
Collects raw data from retrieval outputs and external sources.

2. Evidence Classification
Assigns type: primary, secondary, tertiary, or synthetic.

3. Evidence Scoring
Evaluates authority, freshness, relevance, and verifiability.

4. Evidence Linking
Maps evidence to specific query intents and ontology nodes.

5. Evidence Validation
Confirms consistency and removes invalid or contradictory inputs.

Evidence Types

• Primary Evidence — direct data, official documentation, raw system outputs
• Secondary Evidence — analysis, interpretation, expert reports
• Tertiary Evidence — aggregated summaries, compiled insights
• Synthetic Evidence — model-derived or inferred structured signals

Evidence Scoring Model

• Authority Score (source credibility)
• Relevance Score (query alignment)
• Freshness Score (temporal validity)
• Verifiability Score (traceability strength)
• Consistency Score (cross-source agreement)

Final Output: Evidence Confidence Index (0–1)

Evidence Lifecycle

• Ingestion → data enters system
• Classification → structured categorization
• Scoring → quality evaluation
• Ranking → prioritization for use
• Expiration or Revalidation → lifecycle control

Conflict Handling

• Detect contradictory evidence across sources
• Assign weighted confidence instead of forcing single truth
• Flag unresolved epistemic conflicts
• Preserve multiple valid interpretations when needed

Integration in GEO Pipeline

• Retrieval Engine
• Retrieval Readiness Assessment
• Ontology Layer
• Answer Generation System

Evidence acts as the grounding layer between retrieval output and final system reasoning. It ensures every generated answer is traceable to structured support.

Failure Modes

• Unscored or unclassified evidence entering reasoning layer
• Over-reliance on secondary or synthetic evidence
• Loss of traceability from answer to source
• Ignoring conflicting but valid evidence sets

Structured Output Model

Each evidence unit contains:

• Evidence ID
• Source Reference
• Evidence Type
• Confidence Score
• Linked Query / Intent
• Ontology Mapping
• Validation Status

Relationship Block

Parent Layer: GEO Core System
Upstream: Retrieval System, Signal Optimization Layer
Downstream: Answer Generation System, Reasoning Engine
Connected Systems: Ontology, Knowledge Graph, Ranking System

Structured Summary

Evidence is the epistemic foundation layer of GEO that transforms retrieved information into structured, verifiable, and ranked truth candidates. It ensures all downstream reasoning is grounded, traceable, and auditable.

Without this layer, the system loses reliability and collapses into unverified retrieval output.