LEN-0140 - Compression Lens
Reduces structural graphs into stable minimal representations for comparison, redundancy detection, and diffing.
Primary Pattern Matches
- PAT-0270 - Density Spike
A structural condition where nodes, edges, dependencies, decisions, or effects concentrate sharply within a localized region beyond declared thresholds.
- PAT-0280 - Density Vacuum
A structural condition where a region expected to contain sufficient nodes, edges, coverage, or relationships falls below declared density thresholds.
- PAT-0410 - Unconstrained Expansion
A structural condition where a region, process, authority, or effect expands without governing constraints limiting growth.
Secondary Pattern Matches
- PAT-0110 - Asymmetric Structure
A structural condition where comparable regions receive unequal rule, constraint, or authority application without a declared differentiation rule.
- PAT-0290 - Divergent Outputs
A structural condition where parallel evaluations under comparable scope and shared authority produce non-equivalent outputs.
- PAT-0370 - Redundant Declaration
A structural condition where multiple declarations produce equivalent structural effect without semantic differentiation.
Related Issues
- Agent Keeps Expanding the Task
The agent repeatedly expands the task, plan, scope, or next-step list instead of completing the declared work.
- Agent Never Settles on Final Answer
The agent keeps revising, rechecking, planning, or branching instead of converging on a final answer or completed result.
- Answer Has No Traceable Source Link
The answer makes a claim, recommendation, citation, or factual statement without a source link or trace path that allows the user to verify where it came from.
- Answer Has Too Many Paths
The answer presents too many possible paths, interpretations, options, or next steps without enough structure to choose among them.
- Diagnostic Area Has No Coverage
A known diagnostic area, failure mode, requirement, or review dimension has no Issue, check, rubric item, or workflow coverage.
- 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.
- Evaluation Rubric Has Coverage Gap
An evaluation rubric, grading standard, or review checklist leaves part of the required evaluation space uncovered.
- Missing Required Fields
The AI returns structured output that omits fields required by the schema, workflow, parser, form, or downstream consumer.
- Multiple Policies Say the Same Thing
Multiple policies, rules, or guidance documents express the same requirement, creating redundancy and uncertainty about which one governs.
- Old Output Expectations Survive Migration
Expectations from a prior model, prompt, schema, tool, or workflow survive a migration and continue shaping review or downstream handling after they should be replaced.
- 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.
- Output Breaks After Model Change
Output that previously worked begins failing after a model, mode, runtime, or product behavior changes.
- Output Exceeds Length Limit
The AI output exceeds a declared length, token, word, character, section, field, or size limit.
- Parallel Reviews Never Agree
Parallel AI, human, workflow, or tool reviews keep producing different results without resolving into a shared decision state.
- Policy Area Has No Examples
A policy, rule, standard, or guidance area has no examples showing how it should apply to real cases.
- Prompt Behavior Changed Without Version Change
A prompt begins producing different behavior even though no prompt version, model version, workflow version, or declared dependency change is recorded.
- Prompt Has Too Many Valid Interpretations
The prompt allows too many reasonable interpretations, causing the AI to choose among valid paths without enough guidance.
- Prompt Only Works After Retry
The prompt fails, misroutes, or produces an unusable response on one attempt but works after retry without a meaningful change to the input.
- Repeated Constraints Create Confusion
Repeated constraints, instructions, limits, or exclusions make the task harder to interpret instead of clearer.
- Results Vary Too Much
Repeated or comparable runs produce outputs that vary more than the task, workflow, or user can tolerate.
- 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.
- Review Queue Becomes Bottleneck
A review queue, approval path, or validation stage accumulates too much work and begins blocking the workflow.
- Review Rubric Missing Required Criteria
A review rubric, grading rule, evaluation checklist, or classification standard lacks criteria required to make the review reliable.
- Same Instructions Allow Different Outputs
The same instructions are broad or underspecified enough to allow materially different outputs that all appear compliant.
- 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.
- Similar Cases Route to Different Outcomes
Similar inputs, cases, prompts, or workflow states are routed to different outcomes without a declared difference that explains the split.
- 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.
- Validation Result Changes on Retry
A validation, grading, review, classification, or pass/fail result changes after retry even though the input and declared validation rules did not change.
- Workflow Stage Has Too Few Checks
A workflow stage lacks enough checks, gates, criteria, or review conditions to safely support the work it controls.
Ontology Metadata
- Code
LEN-0140- Version
LEN-0140@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 Lens ontology entry: Compression Lens.
Receipt impact: None