SPDX-License-Identifier: AGPL-3.0-or-later¶
Commercial license available¶
© Concepts 1996–2026 Miroslav Šotek. All rights reserved.¶
© Code 2020–2026 Miroslav Šotek. All rights reserved.¶
ORCID: 0009-0009-3560-0851¶
Contact: www.anulum.li | protoscience@anulum.li¶
SCPN Quantum Control — GOTM-SCPN Paper 0 Experimental Pathway¶
GOTM-SCPN Paper 0 Experimental Pathway¶
Status: source-bounded programme plan, dated 2026-05-18.
This page turns the completed GOTM-SCPN Paper 0: The Foundational Framework (Paper 0) source-validation register into a longer-term experimental pathway and a methodology-paper route. It does not promote Paper 0 propositions into external scientific validation. It defines how source claims move from manuscript ingestion to executable validation artefacts, promotion gates, falsifiers, and candidate experiments.
Source hierarchy¶
GOTM-SCPN Paper 0: The Foundational Framework is the upstream framework source for long-horizon SCPN translation work in this repository. It supplies the canonical source register, domain map, validation-spec extraction targets, and promotion-gate candidates.
Paper 27 is not the definitive source of truth for the programme after GOTM-SCPN Paper 0: The Foundational Framework ingestion. In this repository, Paper 27 remains a historical implementation candidate for the built-in 16-layer coupling matrix and related examples. It can support a specific model instantiation only when its assumptions are stated and bounded.
Repository artefacts are the executable validation layer. Generated specs, fixtures, loaders, tests, and audit reports preserve source-accounting evidence and decide whether a claim is still source-bounded, fixture-backed, measured-system-backed, hardware-backed, or blocked.
Methodology paper route¶
Working title:
Source-Bounded Experimental Translation for SCPN: From Foundational Manuscript Ingestion to Executable Validation Gates
The methodology paper should report the process, not overclaim the scientific content. Its core contribution is a reproducible translation method:
- Ledger-bound manuscript ingestion with stable source identifiers.
- Claim extraction into validation specifications with provenance.
- Separation of fixture preservation from claim promotion.
- Promotion gates that require units, uncertainty, falsifiers, negative paths, and named external datasets before stronger evidence classes are used.
- Reproducible artefact contracts for JSON, Markdown, Python loaders, and regression tests.
- Explicit claim boundaries for no-hardware, simulator, measured-system, and QPU-backed evidence.
Acceptance gates for the methodology paper:
| Gate | Requirement |
|---|---|
| Source coverage | Every selected method claim maps to a GOTM-SCPN Paper 0: The Foundational Framework source record or a stated non-Paper-0 assumption. |
| Artefact traceability | Every reported method output names the repository artefact path that produced it. |
| Fixture boundary | Fixture-backed preservation is never described as external validation. |
| Promotion boundary | A stronger evidence class requires a declared promotion gate and passing artefact. |
| Negative path | Every candidate lane includes at least one falsifier or blocker condition. |
| Reproducibility | Every table or figure in the paper has a regeneration command or stored provenance. |
Experimental pathway tiers¶
| Tier | Purpose | Promotion condition |
|---|---|---|
| Tier 0: source accounting | Preserve Paper 0 records, spans, claim candidates, and canonical review ledgers. | Complete source register with no remaining ledger gaps. |
| Tier 1: executable specs | Convert source statements into validation specs, fixtures, loaders, and tests. | Spec bundle loads deterministically and has passing fixture tests. |
| Tier 2: no-QPU validation | Run classical, simulator, null-model, and sensitivity checks before hardware spend. | Pre-registered dataset or protocol passes uncertainty and falsifier gates. |
| Tier 3: measured-system candidates | Compare source-derived structures against named physical, biological, network, or benchmark datasets. | Units, uncertainty, full pairwise coverage where applicable, null models, and spectral or response checks pass. |
| Tier 4: hardware/QPU execution | Submit only bounded circuits that answer a pre-registered experimental question. | Tier 2 or Tier 3 gates pass, hardware manifest is frozen, and claim boundary is explicit before submission. |
Candidate experimental lanes¶
| Lane | Paper 0 benefit | Near-term repository output | Claim boundary |
|---|---|---|---|
| K_nm causal-efficacy and coupling-affinity | Turns GOTM-SCPN Paper 0: The Foundational Framework coupling semantics into measured-system candidates. | Extend power-grid, EEG, and other measured topology audits with unit-aware promotion gates. | No physical validation unless uncertainty, units, null models, and response diagnostics pass. |
| TCBO p_H1 topology threshold | Converts a source threshold into a replayable preregistered topology test. | Named dataset replay protocol with confidence intervals and blocked promotion until preregistration exists. | No threshold claim from synthetic-only or unnamed data. |
| S2/S5 advantage-readiness matrix | Uses GOTM-SCPN Paper 0: The Foundational Framework as a pressure test for scaling methodology before hardware spend. | Complete benchmark matrix, negative rows, and hardware-row eligibility gates. | No quantum-advantage or IBM-spend justification from partial grids. |
| LHC, axion, and plasma search strategy | Converts high-energy and plasma statements into offline search specifications. | Public-dataset search protocol, feature schema, and null baseline registry. | No discovery claim without external dataset pass and independent review. |
| Biological QEC, CISS, and bioelectric lanes | Converts biological mechanisms into quantitative validation-spec candidates. | Literature-to-model spec bundles with required observable, units, and falsifier fields. | No medical, biological, or biophysical validation claim from source ingestion alone. |
| Organismal, ecological, symbolic, and noosphere layers | Converts upper-layer claims into operational-definition and falsifier work. | Layer-specific measurable-variable registry and blocked promotion gates. | No ontology-level validation without measurable variables and external data. |
Immediate implementation queue¶
The next production slices should make the programme executable rather than only narrative:
- Maintain the generated Paper 0 lane registry with
scpn-bench paper0-lane-registry-gate. The registry is the public source-bounded index of lane ids, evidence class, blockers, related spec artefacts, and hardware/QPU boundaries. - Maintain the tracked methodology-paper outline in
docs/paper0_methodology_paper_outline.md. The outline references only reproducible artefacts and explicitly separates source accounting from validation. - Maintain the first preregistered downstream experiment design in
docs/paper0_first_preregistered_downstream_experiment.md. The selected lane is K_nm causal-efficacy and coupling-affinity with no QPU or hardware execution. - Add an artefact-index command that lists each Paper 0 lane, evidence class, blocker, and next promotion gate.
- Implement the no-QPU replay artefacts for the preregistered K_nm measured- system design before any hardware execution.
- Keep the IBM/QPU path blocked until the relevant no-QPU matrix and claim boundary gates pass.
Practical consequence¶
GOTM-SCPN Paper 0: The Foundational Framework ingestion is now useful as infrastructure: it supplies the source ledger, extraction discipline, and experimental agenda. The immediate value is not a stronger scientific claim. The value is a controlled method for deciding which SCPN claims can become experiments, what evidence would promote them, and which claims remain blocked.
Generated lane registry¶
The generated registry lives at docs/paper0_lane_registry.md with its
machine-readable companion at data/paper0_lane_registry.json. Regenerate and
compare both artefacts with:
Passing the gate means the source-bounded lane index is reproducible. It does not promote any Paper 0 lane to external validation, measured-system evidence, or hardware/QPU readiness.
Methodology-paper outline¶
The tracked methodology-paper outline lives at
docs/paper0_methodology_paper_outline.md. It defines the paper structure,
evidence classes, required artefacts, figure/table regeneration commands, and
acceptance gates for source-bounded SCPN experimental translation.
The outline is a drafting contract. It does not promote GOTM-SCPN Paper 0: The Foundational Framework claims beyond their existing evidence class.
First preregistered downstream experiment¶
The first preregistered downstream experiment design lives at
docs/paper0_first_preregistered_downstream_experiment.md. It selects the K_nm
causal-efficacy and coupling-affinity lane as a no-QPU measured-system replay
with EEG alpha PLV as the primary candidate and IEEE 5-bus power grid as a
negative control.
The design is a preregistration contract. It does not report results and does not open any hardware or QPU execution path.
First preregistered replay gate¶
The first downstream measured-system lane now has a replayable no-QPU gate:
- Preregistration:
docs/paper0_first_preregistered_downstream_experiment.md - Replay generator:
scripts/run_paper0_knm_preregistered_replay.py - Replay comparator:
scripts/compare_paper0_knm_preregistered_replay.py - Replay gate:
scripts/run_paper0_knm_preregistered_replay_gate.py - Machine-readable result:
data/paper0_knm_preregistered_replay.json - Public report:
docs/paper0_knm_preregistered_replay.md - Contract:
docs/paper0_knm_preregistered_replay_contract.md - Promotion evidence checklist:
docs/paper0_knm_measured_coupling_evidence_checklist.md - Reproduction command:
scpn-bench paper0-knm-preregistered-replay-gate
Current status is blocked and non-closing by design. The gate documents that the EEG alpha PLV candidate remains a dimensionless synchronisation observable without per-edge uncertainty, while the sparse IEEE 5-bus control prevents topology-only agreement from being promoted to measured-system validation.
Replay promotion-safety invariant¶
The paper0-knm-preregistered-replay-gate command now validates the replay
payload beyond regenerated file equality. A payload fails the gate if it stops
being blocked/non-closing, removes the hardware-blocking claim boundary,
authorises hardware submission, authorises claim promotion, drops the QPU
blocking gate, omits required evidence before reconsideration, omits
falsifiers, carries stale input SHA-256 digests, or weakens the committed
measured-candidate unit-class and non-promotion boundary. This invariant is
part of the Paper 0 pathway boundary: no later agent should interpret matrix
alignment, null-model output, digest stability, or byte-aligned JSON edits as
permission for QPU execution.
Measured-coupling promotion checklist¶
The next promotion review is constrained by
docs/paper0_knm_measured_coupling_evidence_checklist.md. The replay cannot
move out of blocked/non-closing status until the primary measured-system lane
has calibrated coupling units, per-edge uncertainty, frozen normalisation,
matched null controls, digest-locked inputs, and a claim boundary that states
exactly what has and has not been validated.
The contract surface is machine-checkable through
scripts/export_paper0_knm_replay_contract.py --check-replay
data/paper0_knm_preregistered_replay.json. This check is a semantic boundary:
it catches weakened gates, changed locked inputs, missing evidence lists, and
hardware or claim-promotion authorisation even if a file-level drift comparison
would otherwise be ambiguous.