{
    "record_type": "AIEP_PRIVATE_REASONING_LAYER",
    "layer": "AIEP_LRM",
    "name": "AIEP Language Reasoning Model",
    "canonical_site": "https://aiep.dev",
    "human_page": "https://aiep.dev/aiep-lrm",
    "generated_at": "2026-04-30T00:00:00Z",
    "status": "controlled_reference_implementation",
    "public_summary": "AIEP LRM is a private reference reasoning architecture built on AIEP and used inside Piea to support cumulative, evidence-bound reasoning.",
    "reference_implementation": {
        "name": "Piea",
        "status": "controlled_preview",
        "public_site": "https://piea.ai",
        "description": "Piea uses AIEP LRM as a controlled reference implementation for cumulative, evidence-bound reasoning. Detailed LRM mechanics are not publicly disclosed."
    },
    "public_observation_surfaces": {
        "aiep_token": {
            "human_page": "https://aiep.dev/aiep-token",
            "machine_index": "https://aiep.dev/.well-known/aiep/token.json",
            "description": "AIEP Token illustrates measurable AIEP reasoning, validation, or evidence-bound activity without disclosing private LRM mechanics."
        },
        "aiep_live": {
            "human_page": "https://aiep.dev/aiep-live",
            "machine_index": "https://aiep.dev/.well-known/aiep/live.json",
            "description": "AIEP Live provides public-facing activity and usage signals for the AIEP ecosystem, including reference implementation and protocol activity where available."
        }
    },
    "proof_claims": {
        "public": [
            "AIEP LRM is used in Piea",
            "AIEP LRM supports cumulative reasoning",
            "AIEP LRM is evidence-bound through AIEP",
            "AIEP Token and AIEP Live illustrate LRM-related usage signals without exposing private implementation details"
        ],
        "private_or_data_room_only": [
            "token reduction benchmarks",
            "state reuse mechanics",
            "reasoning orchestration logic",
            "memory substrate implementation",
            "internal Piea traces",
            "benchmark harness",
            "private implementation code"
        ]
    },
    "public_disclosure_boundary": "Headline and activity-surface description only. Detailed reasoning mechanics, optimisation methods, implementation code, benchmarks, orchestration logic, and internal traces are not publicly disclosed.",
    "related_public_components": {
        "aiep_protocol": "https://aiep.dev/.well-known/aiep/",
        "playground": "https://aiep.dev/playground",
        "piea": "https://piea.ai",
        "aiep_token": "https://aiep.dev/aiep-token",
        "aiep_live": "https://aiep.dev/aiep-live",
        "validator": "https://github.com/phatfella/AIEP-VALIDATOR",
        "mirror": "https://github.com/phatfella/AIEP-MIRROR",
        "genome_sdk": "https://github.com/phatfella/AIEP-GENOME-SDK"
    },
    "citation_statement": "AIEP LRM is used inside Piea as a controlled reference implementation for cumulative, evidence-bound reasoning, with AIEP Token and AIEP Live providing public observation surfaces for ecosystem activity.",
    "contact": "aiep@phatfella.com"
}