PAT-0270 - Density Spike
A structural condition where nodes, edges, dependencies, decisions, or effects concentrate sharply within a localized region beyond declared thresholds.
Primary Lenses
- LEN-0140 - Compression Lens
Reduces structural graphs into stable minimal representations for comparison, redundancy detection, and diffing.
- LEN-0290 - Variance / Entropy Lens
Measures structural variability across repeated or comparable evaluations and identifies divergence beyond expected bounds.
Secondary Lenses
- LEN-0190 - Escalation Gradient Lens
Measures structural growth or intensification across sequential executions, states, or transitions.
Primary Issue Matches
- Answer Has Too Many Paths
The answer presents too many possible paths, interpretations, options, or next steps without enough structure to choose among them.
- One Prompt Carries Too Many Meanings
A single prompt carries too many meanings, goals, roles, constraints, or implied tasks for the AI to interpret consistently.
- Review Queue Becomes Bottleneck
A review queue, approval path, or validation stage accumulates too much work and begins blocking the workflow.
- Single Field Carries Too Many Obligations
One field, label, score, status, or structured value is expected to carry too many meanings, decisions, or workflow obligations.
- Single Step Carries Too Many Decisions
One prompt, workflow step, review stage, or agent action carries too many decisions for the system or user to evaluate cleanly.
Supporting Issue Matches
- Duplicate Fields With Same Meaning
The AI returns multiple fields, labels, sections, or structured elements that carry the same meaning and create ambiguity about which one should be used.
- Duplicate Output Sections
The AI repeats sections, headings, blocks, or output areas in a way that creates redundancy, confusion, or downstream handling problems.
- Multiple Policies Say the Same Thing
Multiple policies, rules, or guidance documents express the same requirement, creating redundancy and uncertainty about which one governs.
- Output Exceeds Length Limit
The AI output exceeds a declared length, token, word, character, section, field, or size limit.
- Prompt Has Too Many Valid Interpretations
The prompt allows too many reasonable interpretations, causing the AI to choose among valid paths without enough guidance.
- Repeated Constraints Create Confusion
Repeated constraints, instructions, limits, or exclusions make the task harder to interpret instead of clearer.
- Retrieval Exceeds Evidence Limit
The AI retrieves, uses, cites, or considers more evidence than the task permits or more than the review surface can support.
- Same Rule Declared in Multiple Places
The same rule, constraint, instruction, or policy appears in multiple places, creating redundancy and possible drift.
- Same Workflow Check Happens Twice
The same review, validation, approval, routing, or safety check occurs more than once in the workflow without a clear reason.
Ontology Metadata
- Code
PAT-0270- Version
PAT-0270@0.1.0- Ontology release
- 0.1.0
- Updated
- 2026-05-10T00:00:00Z
History
-
0.1.0 — 2026-05-10T00:00:00Z — Created
Promoted reviewed Pattern ontology entry: Density Spike.
Receipt impact: None