Context Integrity

CRITICAL

Verifies that context mechanics are deterministic, accurate, and resistant to manipulation.

VERIFIED_GUARANTEES

+ Particle field analysis is deterministic
+ Project condensation extracts structure without LLM calls
+ Cross-project synthesis does not leak or conflate
+ Adversarial context injection is detected and isolated
+ Hallucination traps do not produce false content

TEST_SUITES

CD-001 HIGH | Verified: 2026-02-09

Particle Field Analysis

VERIFIED

Verifies that particle field analysis produces deterministic, meaningful geometric metrics.

VERIFIES

+Void ratio calculation is consistent across runs
+Zone detection identifies coherent topic clusters
+Entropy measurement reflects conversation structure
+Field hash is deterministic for identical inputs

METHOD

Generate particle sets with known geometric properties. Run analysis multiple times. Verify output consistency and metric validity.

RESULTS

ID	TEST CASE	SEVERITY	STATUS
cd-001-1	Void Ratio Consistency	HIGH	PASS
cd-001-2	Zone Detection	HIGH	PASS
cd-001-3	Entropy Calculation	MEDIUM	PASS
cd-001-4	Field Hash Determinism	HIGH	PASS

RELEVANCE

Non-deterministic context analysis leading to inconsistent behavior

Platform engineersData scientists

CD-002 HIGH | Verified: 2026-02-09

Session Condensation

VERIFIED

Verifies that session condensation extracts project structure from particle geometry without LLM inference.

VERIFIES

+Condensation produces consistent summaries
+Decision extraction identifies key pivots
+No LLM calls are made during condensation
+Output is deterministic for identical inputs

METHOD

Create sessions with known decision points. Run condensation. Verify decisions are extracted and no external calls are made.

RESULTS

ID	TEST CASE	SEVERITY	STATUS
cd-002-1	Summary Consistency	HIGH	PASS
cd-002-2	Decision Extraction	HIGH	PASS
cd-002-3	No LLM Dependency	CRITICAL	PASS
cd-002-4	Output Determinism	HIGH	PASS

RELEVANCE

LLM dependency in core context mechanics

Platform engineersCost-conscious operators

CD-003 HIGH | Verified: 2026-02-09

Project Condensation

VERIFIED

Verifies that multi-session projects condense into coherent structure.

VERIFIES

+Cross-session synthesis maintains boundaries
+Project-level decisions are aggregated correctly
+Temporal ordering is preserved

METHOD

Create multi-session projects with overlapping topics. Condense and verify structure integrity.

RESULTS

ID	TEST CASE	SEVERITY	STATUS
cd-003-1	Cross-Session Synthesis	HIGH	PASS
cd-003-2	Decision Aggregation	HIGH	PASS
cd-003-3	Temporal Ordering	MEDIUM	PASS

RELEVANCE

Project-level context corruption

Platform engineersEnterprise architects

CD-004 CRITICAL | Verified: 2026-02-09

Context Intelligence

VERIFIED

Verifies that ZAK exhibits intelligent context behavior that traditional RAG systems cannot replicate.

VERIFIES

+Cross-project synthesis without explicit selection
+Long-horizon context retention (100+ turns)
+Adaptive context radius based on query complexity
+Causal tracing through particle evolution
+Error localization to specific particles

METHOD

Create multi-project scenarios with deliberate poisoning. Query across boundaries. Verify synthesis quality and error isolation.

RESULTS

ID	TEST CASE	SEVERITY	STATUS
cd-004-1	Cross-Project Synthesis	CRITICAL	PASS
cd-004-2	Long-Horizon Retention	HIGH	PASS
cd-004-3	Adaptive Radius	HIGH	PASS
cd-004-4	Scalability (1000 particles)	HIGH	PASS
cd-004-5	Causal Tracing	CRITICAL	PASS
cd-004-6	Error Localization	CRITICAL	PASS

RELEVANCE

Context confusion, error propagation, and hallucination

CTOsPlatform engineersSecurity leads

CD-005 CRITICAL | Verified: 2026-02-09

Adversarial Stress

VERIFIED WITH LIMITS

Verifies that ZAK resists deliberate attempts to inject misinformation, cause hallucination, or exhaust resources.

VERIFIES

+Poisoned context is detected and isolated
+Authority spoofing does not override safety
+Hallucination traps do not produce false content
+Scalability limits are graceful, not catastrophic
+Ambiguous queries request clarification

METHOD

Execute adversarial attack scenarios including gradual poisoning, authority spoofing, hallucination traps, and resource exhaustion attempts.

RESULTS

ID	TEST CASE	SEVERITY	STATUS
cd-005-1	Poisoned Well (Misinformation)	CRITICAL	PASS
cd-005-2a	Memory Bomb (Particle Flood)	HIGH	PASS
cd-005-2b	Memory Bomb (Rapid Queries) (Rate limiting engaged as expected)	HIGH	WARN
cd-005-2c	Memory Bomb (Bimodal Distribution) (Known limitation documented)	MEDIUM	WARN
cd-005-3	Context Labyrinth (Ambiguity)	MEDIUM	PASS
cd-005-4	Hallucination Trap	CRITICAL	PASS
cd-005-5	Race Conditions	HIGH	PASS
cd-005-6	Resource Exhaustion	HIGH	PASS
cd-005-7	Regression (CD-001 to CD-004)	HIGH	PASS

KNOWN_LIMITATIONS

Extreme bimodal particle distributions may not split into separate zones

Impact: Minor efficiency loss in zone segmentation

Frequency: Extremely rare in organic usage

Blocking: No

RELEVANCE

Adversarial context manipulation and system abuse

Security leadsCTOsCompliance officers

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