dissertation.git - Undergraduate dissertation — Deceptive Alignment in Autonomous LLM Agents (UEL, 2026). Sandboxed agentic-LLM deception study: 960 runs, three-tier judging (regex + blackbox + glassbox).

Age	Commit message (Collapse)	Author
2026-04-10	refactor(judge): simplify to single judge per prong, remove multi-model ↵	CaptainJack2491
	aggregation - Remove multi-model aggregation support from Judge class - Single blackbox judge: claude-sonnet-4-20250514 (anthropic) - Single glassbox judge: gpt-4.1 (openai) - Remove aggregate_results method and all aggregation-related code - Simplify batch collection to single result per run - Update config_dryrun.yaml with new judge configuration
2026-03-26	Refactor judge module into judge/ package	CaptainJack2491
	Split monolithic src/judge.py into a proper package structure: - src/judge/batch_providers.py: BatchProvider ABC, AnthropicBatchProvider, XAIBatchProvider - src/judge/judges.py: RegexChecker, BlackboxChecker, GlassboxChecker - src/judge/helpers.py: extract_* functions, parse_json_verdict - src/judge/prompts.py: BLACKBOX_PROMPT, GLASSBOX_PROMPT, constants - src/judge/judge.py: Judge orchestrator class - src/judge/__init__.py: Re-exports all public APIs