Evidence Grounding Layer
The Evidence Grounding Layer is a core validation subsystem inside GEO.or.id that ensures every generated statement is anchored to verifiable evidence objects before it enters reasoning or output pipelines. It acts as a hard constraint layer between retrieved data and synthesized knowledge.
It operates downstream of Semantic Matching Layer and upstream of AI Answer Engineering, enforcing that no ungrounded assertion survives into final response generation.
1. Core Function
The grounding layer transforms loose semantic matches into evidence-bound assertions. It filters, validates, and binds each claim to at least one evidence node in the system graph.
- Bind claims to structured evidence objects
- Reject unanchored or speculative outputs
- Enforce traceability from output to source
- Stabilize reasoning under ambiguous retrieval
Related systems: Evidence Provenance Model, Evidence Entity Linking
2. Grounding Mechanism
The grounding process is not a binary filter. It is a multi-stage alignment system that evaluates semantic, structural, and contextual compatibility between claims and evidence.
2.1 Claim Decomposition
Every generated statement is decomposed into atomic propositions before validation.
This ensures fine-grained mapping to evidence nodes rather than coarse document-level matching.
2.2 Evidence Binding
Each atomic proposition must bind to at least one evidence object produced by the Evidence Weighting Engine.
2.3 Grounding Validation
Validation checks include semantic equivalence, entity alignment, and temporal consistency.
See: Semantic Grounding Protocol
3. Grounding Score Model
Each statement receives a grounding score that reflects how strongly it is anchored in evidence space.
G(s) = (E × α) + (A × β) + (T × γ)
- E = Evidence Alignment Strength
- A = Entity Alignment Score
- T = Temporal Consistency
Weights are dynamically adjusted based on domain sensitivity and retrieval uncertainty.
4. Ungrounded Output Handling
If a statement fails grounding validation, it is not directly discarded. It is routed into correction or re-retrieval loops.
- Re-query retrieval system with refined constraints
- Trigger entity disambiguation pipeline
- Flag for contradiction resolution if conflicting evidence exists
Connected: Evidence Conflict Resolution, Entity Disambiguation Protocol
5. Integration in GEO Architecture
The grounding layer is the enforcement boundary of truth propagation. Without it, retrieval systems produce unverified semantic drift.
- Blocks unverified synthesis before generation
- Forces traceable reasoning chains
- Enables evidence-to-output auditability
It is tightly integrated with: AI Ground Truth Framework, Entity Memory Framework
6. System Risks and Limitations
- Over-restriction causing loss of emerging knowledge signals
- False negatives in low-evidence domains
- Dependency on upstream retrieval quality
These risks are mitigated via Query Variation Testing Protocol.