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SEMIOTIC-ARC FILE MANIFEST

Research Files for ARC-AGI Community

Updated: 2026-01-03

INCLUDED FILES

Research Materials (`research/`)

File	Description
`LLM_SYSTEM_PROMPTS.py`	30+ system prompts for game-playing LLM agents
`TACTICAL_GUIDE.md`	Semiotic analysis methodology for ARC puzzles
`CROSS_DOMAIN_INSIGHTS.md`	55 eigenvalue-based cross-domain insights
`MULTI_MODEL_PROMPTS.md`	Prompts for multi-model coordination
`ARC_AGI_3_INSIGHTS.md`	Interactive game architecture notes
`ANTI_CHEAT_ANALYSIS.md`	Human-like agent behavior patterns
`ratchet_loss.py`	Asymmetric ratcheting loss function

Rust Engine (`src/rust/src/`)

File	Description
`operator.rs`	GridOperator trait with compose/invert
`hypothesis.rs`	Beam search over operator compositions
`grammar.rs`	Formal DSL grammar for grid operations
`grid.rs`	64x64 packed 4-bit grid representation
`symmetry.rs`	Symmetry detection and classification
`prior_bank.rs`	Amortized inference via compiled priors
`discrimination.rs`	Hypothesis space partitioning
`simulator.rs`	World simulation for planning
`planner.rs`	A* planning with viability tracking
`memory.rs`	3-tier memory system
`cognitive_regulation.rs`	Self-monitoring and correction
`critical_analysis.rs`	Adversarial trap detection

FILE NAMING CONVENTIONS

All files use descriptive names:

LLM_SYSTEM_PROMPTS.py — System prompts for LLM agents
TACTICAL_GUIDE.md — Step-by-step methodology guide
CROSS_DOMAIN_INSIGHTS.md — Theoretical cross-domain analysis
MULTI_MODEL_PROMPTS.md — Multi-model coordination prompts
ARC_AGI_3_INSIGHTS.md — ARC-AGI-3 specific insights
ANTI_CHEAT_ANALYSIS.md — Human-like behavior patterns
ratchet_loss.py — Monotonic improvement loss function

LICENSE

Code: MIT License
Documentation: CC-BY-4.0

Maintained by Crystalline Labs