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FDRP Research Paper

FDRP: A Comprehensive Architecture for Planning Quality
From Manufacturing Quality Control to a Measured Knowledge Engine — and What Measurement Retired

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v23.0 is live (12 June 2026). This is the current, privacy-reviewed release; it supersedes v22.1 and all prior builds, which were withdrawn on 11 June 2026 pending redaction. Download below.

Download Paper (PDF, v23.0)
Version
23.0
Date
Runs
80
Decisions
1,968
Pages
254
Author
L. Olos
SHA-256: 20f81d84576510ce6aaba0165deaa6bfb55a3154424b5a9b78c6dcec0b94be5b

Abstract

FDRP applies the quality controls that world-class factories use on production lines — statistical process control, defect detection, continuous improvement — to the planning process itself, so that every planning decision is manufactured with the same traceability, convergence measurement, and gate-review rigour as a physical component. Version 23.0 presents the matured framework spanning 80 production runs and 1,968 traceable decisions (all figures from the 2026-06-10 measurement snapshot of the production database).

This edition adds Measuring Ourselves: three pre-registered falsifiable A/B experiments that turned the process on itself, with the negative and inconclusive results published rather than suppressed. None showed the orchestration wrapper beating an unwrapped baseline given the same curated prompt; one caught a bug in the system's own verdict logic; and the most dramatic verdict was rejected by the system's own quality gate as a measurement artifact. The resulting epistemic distinction — PRODUCES is not BEATS — frames the paper. Every positive claim is fenced as either produced in practice (an existence claim — the verified CHF 147.1M antimatter-facility engineering case is of this kind) or beat an unwrapped baseline in a controlled A/B (a comparative claim, of which this edition makes none for the orchestration wrapper). What measurement retired: the “self-evolving” framing was removed from the title after the self-improvement flywheel showed a measured 0.12% true-promotion yield and was switched off; a convergence-metric polarity defect that manufactured a false verdict was found and reconciled (convergence_score = 1 − cvt_ratio, higher is better). The value the paper does claim — production at scale through curated concept-to-X pipelines, deterministic validation, and honest gates — is the produced-in-practice kind.

Table of Contents

Act I: The Framework

  1. Introduction: The Planning Quality Gap
  2. Theoretical Foundations
  3. Progressive Disclosure — The Unifying Architecture
  4. System Architecture and Core Mechanisms
  5. Ecosystem Architecture and the Concept-to-X Pipeline Platform
  6. Expert Expansion, Payload Constitution, and Vocabulary Routing

Act II: The Evidence

  1. Production Results — Comprehensive
  2. Case Study: Antimatter Building Programme (verified corpus, incl. two self-caught published errors)
  3. Cross-Domain Expert Insights — FDRP-on-FDRP
  4. Cross-Model Verification
  5. Cross-Domain Validation — SIVP
  6. Expert Persistence and Ultrathink Cascade

Act III: Measuring Ourselves — Three A/Bs and What Survived

  1. Three Pre-Registered A/B Experiments
  2. What the Measurements Retired (flywheel, “self-evolving”, CVT polarity)
  3. Measurement Snapshot and Drift (v22.1 → v23.0)
  4. Limitations and Threats to Validity
  5. Extended Architecture and Version History
  6. Conclusion

Cite This Work

BibTeX
@article{olos2026fdrp,
  title   = {FDRP: A Comprehensive Architecture for Planning Quality},
  author  = {Olos, L.},
  year    = {2026},
  note    = {Preprint, v23.0 (10 June 2026; supersedes v22.1).
             Subtitle: From Manufacturing Quality Control to a
             Measured Knowledge Engine --- and What Measurement Retired},
  url     = {https://fdrp.liviu.ai/paper/}
}
APA (7th edition)

Olos, L. (2026). FDRP: A comprehensive architecture for planning quality. Preprint, v23.0 (10 June 2026; supersedes v22.1). https://fdrp.liviu.ai/paper/

Chicago (17th edition)

Olos, L. “FDRP: A Comprehensive Architecture for Planning Quality.” Preprint, v23.0, 2026 (10 June 2026; supersedes v22.1). https://fdrp.liviu.ai/paper/

Current state-of-the-system

The PDF above (v23.0, 10 June 2026) codifies FDRP through its 2026-06-10 measurement snapshot, including the retirements that measurement forced. The substrate continues to evolve between paper revisions; material developments are surfaced in a companion addendum so the public state-of-system stays current without rewriting the dated record above.

Read the companion addendum →

Version Archive

Version Date Key Changes Download
v23.0 Current release (supersedes v22.1): title retires “Self-Evolving”; new Act III “Measuring Ourselves” with three pre-registered A/Bs (negative results published); flywheel retired at measured 0.12% yield; CVT polarity reconciled; verified antimatter corpus with two self-caught published errors corrected; ten staleness reframes PDF
v22.1 Superseded by v23.0. Corrected figures and provenance from the retracted v22.0; 77 runs, 1,907 decisions at its snapshot Withdrawn (redaction review, 2026-06-12)
v22.0 Retracted 2026-05-13 — superseded by v22.1 Retracted (download removed)
v21.0 Post-R1027 update: learning collector, data quality auditor, traceability metric scoped + backfill, daemon effectiveness refinements Withdrawn (redaction review, 2026-06-12)
v20.0 9 new subsystems (#24-#32): cognitive architecture, daemon taxonomy, thinking chains, wiring verification, limit hunting. 557 tables + 188 views, 32 subsystems total Withdrawn (redaction review, 2026-06-11)
v14.0 Visualization pass: 4 new figures, 19 fixes, concept2image disclosure Withdrawn (redaction review, 2026-06-12)
v13.0 Comprehensive 4,472-line version with full evidence Withdrawn (redaction review, 2026-06-12)
v8.0 Wave 8: cross-model reviewed, 10 fixes Withdrawn (redaction review, 2026-06-12)
v6.0 First complete draft with all sections Withdrawn (redaction review, 2026-06-12)

Supplementary Materials

Full technical report, raw data exports, and CERN department one-pagers are available in a gated section. To request reviewer access, email [email protected].

Access supplementary data →