ExperimentEXP-2026-0001v0.1

AER-0 MVP v0.1 closure: are the invariants executable?

The approved Python + SQLite runtime was built under mssp-tdd-apr and closed on behavioural, structural and discriminative witnesses: candidate gate, provenance validation, stale-version conflict, stable-vs-volatile scheduling, shock activation, verifier rejection, workflow reuse/adapt/create, model swap, model-free core, end-to-end verified commit. 25 tests; the refresh benchmark selected 2 nodes under fixed TTL versus 1 volatile node under tension scheduling; a clean extracted replay of the sealed archive passed before release.

Research status: STABLE the current conclusions are relatively stable
Evidence level: E2 Controlled experiment
Result: POSITIVE
Data basis: DETERMINISTIC RUNTIME A deterministic scenario executed in a real runtime; the code and procedure are listed, and the numbers are what they are.
Version: 0.1
Updated: 2026-09-08
Created: 2026-09-08
Domain: AI Architecture, Evaluation, Agent Systems
Program: PRG-2026-0001 Adaptive Epistemic Systems
Authors: Neo.K (EveMissLab)
AI collaborators: Sol (GPT-5.6, OpenAI ChatGPT)

Hypothesis

hypothesis: The scoped MVP invariants (canonical state ownership, candidate gating, provenance, versioned commit, selective refresh, capability/container separation, workflow reuse, model replaceability) can be implemented with positive and falsifying executable witnesses.

Setup

software_environment: Python 3.11+, SQLite; no network, no external database, no LLM API required.

Procedure

procedure: TDD under mssp-tdd-apr; full suite, research-assistant demo and refresh benchmark run before packaging; checksum-verified clean extraction replayed after sealing.

Runs

run_count

metrics

tests_passed

refresh_benchmark

fixed_6h_ttl_nodes_refreshed: 2
aer_tension_nodes_refreshed: 1

closure

behavioral: PASS
structural: PASS
discriminative: PASS
independent_twin: NotMeasured
production_readiness: NotClaimed
general_ai_superiority: NotMeasured

Interpretation

interpretation: A mechanism closure, not a claim of AI superiority: the declared invariants exist in code, are exercised by falsifying witnesses, and survive a fresh-process replay.

Limitations

limitations: DEGRADED-TWIN: only one live execution context; no simulated independent verdict claimed.
Not measured: performance against production agent frameworks, live research accuracy, distributed semantics, security hardening, real heterogeneous backends, multi-day drift.

Reproduction

reproduction_instructions: Extract the round's FINAL bundle; python -m pytest -q; python -m examples.research_assistant_demo; python -m benchmarks.<round benchmark>. Checksums in SHA256SUMS.txt.

Recorded fields

completed_at: 2026-09-08

Relations

Source	Relation	Target	Status	ID
`EXP-2026-0001` AER-0 MVP v0.1 closure: are the invariants executable?	`runs_on`	`SYS-2026-0001` AER-0 — Adaptive Epistemic Runtime MVP	`ACTIVE`	`REL-2026-0099`
`EXP-2026-0001` AER-0 MVP v0.1 closure: are the invariants executable?	`uses_benchmark`	`BEN-2026-0002` AER-0 architecture-comparison suite (R1–R6)	`ACTIVE`	`REL-2026-0100`
`EXP-2026-0001` AER-0 MVP v0.1 closure: are the invariants executable?	`tests`	`THY-2026-0002` Canonical symbolic state and candidate → verify → commit authority	`ACTIVE`	`REL-2026-0101`
`EXP-2026-0001` AER-0 MVP v0.1 closure: are the invariants executable?	`tests`	`THY-2026-0001` Asymmetric spacetime tension: temporally heterogeneous world knowledge	`ACTIVE`	`REL-2026-0102`
`EXP-2026-0001` AER-0 MVP v0.1 closure: are the invariants executable?	`tests`	`THY-2026-0007` Capability memory and substrate-neutral compute: Reuse ≻ Adapt ≻ Create	`ACTIVE`	`REL-2026-0103`
`EXP-2026-0001` AER-0 MVP v0.1 closure: are the invariants executable?	`produced`	`ART-2026-0014` AER-0 MVP v0.1 FINAL `artifact://evemisslab/adaptive-epistemic-systems/AER-0_MVP_v0.1_FINAL.zip`	`ACTIVE`	`REL-2026-0104`
`EXP-2026-0002` R1 — deterministic semantics comparison against four baselines	`extends`	`EXP-2026-0001` AER-0 MVP v0.1 closure: are the invariants executable?	`ACTIVE`	`REL-2026-0110`

History and provenance

Canonical URL

https://evemisslab.com/ai/experiments/EXP-2026-0001/

Machine-readable

/ai/experiments/EXP-2026-0001/index.json

Snapshot

AI-SNAPSHOT-v0.1-fe85b9694a45

Provenance

source: EveMissLab research collection: Adaptive Epistemic Systems (真本體論13)
extracted_by: Splice (Claude Code), reading the canonical UTF-8 sources and each lab's own result reports
extracted_at: 2026-09-11
generator: tools/extract_aes/extract.py
claim_boundary: status, evidence level and result type follow the source artifact's own stated claim boundary; nothing is upgraded beyond what the report supports