Planned release: September 2026
Planning target Β· contingent on final release checksCanonical Research Roadmap Β· Research status September 6, 2026
Where BenchEWS stands today.
From the released version 1.4.0 through professional release preparation for Studio 2.0 and a planned AI-assisted research interface to the open question of cross-domain mathematical invariance.
This roadmap separates current development, planned capabilities, and long-term research horizons. It is not a product promise. Every later stage remains contingent on implementation, verification, and independent evidence.
Software Β· Development status
Release horizon
Planned for mid-2027
Development horizon Β· next stage of evidence-based system diagnostics01 / Canonical development path
Five levels Β· five explicitly separated statuses
Tap a stage to inspect its scope, evidence boundary, and next gates.
01RELEASED RELEASED Β· VERSIONED Β· CITABLEBenchEWS Studio 1.4.0
The released and citable software foundation
Studio 1.4.0 is the currently released BenchEWS software. The versioned Zenodo record combines the application, documentation, and an installable macOS build for Apple Silicon.
DOCUMENTED CAPABILITIES - 12 task-oriented workspaces
- Executable variance and lag-1 autocorrelation
- Reproducible reference benchmark
- Deterministic research workflow
- Documented configurations, runs, and provenance
- Exportable Knowledge Package
- User Manual and scientific companion documentation
EXPLICIT BOUNDARIES - CRTI is not yet integrated as an executable module
- No quantified measurement uncertainty
- No automated scientific interpretation
- No certain tipping-point prediction
- No independent cross-domain validation
02TODAY CURRENT Β· IN FINAL RELEASE PREPARATIONBenchEWS Studio 2.0
The planned first fully professional BenchEWS research software
The goal is a scientifically robust visual tool with CRTI. Studio 2.0 is in final release preparation, but version 2.0 has not yet been released.
Inspect the current software status βQUALITY STANDARD Release quality, reproducibility, transparency, intuitive operation, scientific interpretability, and a professional research identity.
OPEN RELEASE GATES - CRTI and remaining production modules complete
- Scientific Cockpit
- All 12 legacy panels preserved
- Full regression suite
- Synchronized User Manual
- Scientific Companion
- Requirements specification
- Final cloud readiness
- Real-Mac test
- From-zero test
- Final DMG
- Zenodo release
03PLANNEDPLANNED Β· NOT IMPLEMENTED Β· NOT VERIFIEDStudio 3.0 ECHOA scientific standard tool for early-warning and system diagnosticsOpen details οΌ
Studio 3.0 ECHO is a strategic development goal. Shared mathematics would remain in the BenchEWS core; Domain Packs would make context, data requirements, and interpretation boundaries explicit.
02A / PLANNED SYSTEM CLASSES 02B / PLANNED DOMAIN PACK CONTRACT - System Boundary
- Relevant observables
- Required data
- Typical timescales
- Applicable EWS
- Mathematical prerequisites
- Failure modes
- Interpretation limits
- Provenance
02C / TWO PLANNED OPERATING MODES MODE A SCIENTIST MODE
Full control over data, parameters, methods, models, evidence, and interpretation.
MODE B Β· PLANNED GUIDED RESEARCH MODE
AI would support less specialized users throughout the research process. It must not conceal scientific choices or replace deterministic computation.
02D / PLANNED CONTROLLED RESEARCH PATH - 01Research Question
- 02System Boundary
- 03Observables
- 04Data
- 05Data Acquisition
- 06Source Qualification
- 07Data Harmonization
- 08EWS Selection
- 09Analysis
- 10Evidence / Uncertainty
- 11Interpretation
- 12Reproducibility Record
02E / PLANNED Β· NOT IMPLEMENTED Β· NOT VERIFIED AI DATA ACQUISITION & EVIDENCE LAYER
The planned layer would acquire source-bound data from scientific databases, open-data portals, APIs, government sources, repositories, and credible web sources.
- Never invent or hallucinate measurements
- Record source, retrieval date, and available license
- Record unit, measurement method, and data quality
- Document missingness and transformations
- Expose conflicting sources
- When evidence is insufficient: EVIDENCE_MISSING
- When quality is insufficient: DATA_QUALITY_INSUFFICIENT
- Keep every AI-assisted analysis reproducible
02F / HIGH Β· CORE STUDIO 3.0 CAPABILITY Β· PLANNED Open the documented 3.0 outlook βEVIDENCE-BASED EWS RECOMMENDATION LAYER
Studio 3.0 / ECHO is planned to compare available indicators under user-visible criteria such as warning lead time, detection latency, robustness, noise sensitivity, parameter stability, false-alarm behavior, temporal consistency, uncertainty, indicator agreement, and - where available - ground truth.
STUDIO 2.0 Calculation and structured evidence
Data β selected available EWS β calculation and visualization β researcher interpretation. The fixed Reference Benchmark remains an installation and reproducibility check.
STUDIO 3.0 / ECHO Β· PLANNED Assessment without a forced winner
One preferred EWS Β· complementary multi-EWS evidence Β· NO_RELIABLE_RECOMMENDATION / INDETERMINATE. Scientific responsibility remains with the researcher.
04LONG-TERM RESEARCHLONG-TERM SCIENTIFIC HORIZONLong-Term HorizonA law-like relationship β only if the evidence supports itOpen details οΌ
Beyond Studio 3.0, the program would investigate whether loss of effective degrees of freedom, structural compression, increasing persistence, loss of observability, and critical transitions are connected by a general mathematical relationship.
- OBSERVATION
- INDICATOR
- MECHANISM
- INVARIANCE
- LAW
A law-like or potentially natural-law relationship is a possible long-term objective, never a conclusion assumed in advance.
Not by intention, but only if mathematical derivation, cross-domain invariance, and independent evidence support it.
Examine the theoretical horizon β
02 / Self-correction implementation path
Formalize first. Implement second. Validate independently.
Formalize the construct, align existing modules, publish the positioning paper, and benchmark candidate loss indicators.
Multidimensional diagnostics, domain adapters, network and real-time integration, and explicit recovery analysis.
Independent replication, domain validation, recovery benchmarking, and possible standards only if evidence supports them.
03 / Scientific interpretability
Scientific interpretability is not an add-on.
Every future BenchEWS analysis should expose not only numbers, but also its reasoning path and boundaries.
- 01What was investigated?
- 02What was calculated?
- 03Which method was used?
- 04Which data were used?
- 05Why was this method selected?
- 06Is the input suitable?
- 07What evidence is available?
- 08What uncertainty remains?
- 09What warnings apply?
- 10What does the result mean?
- 11What alternative explanations exist?
- 12What must explicitly not be inferred?
No artificial certainty Β· no fake scores Β· no unsupported alarm thresholds
04 / Connected evidence
Move directly from the roadmap to the inspectable foundations
The roadmap also serves as navigation. Each area links to its existing primary page, avoiding unnecessary duplication.