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sporePrint — ecoPrimals: Sovereign Scientific Computing

The public record and verification portal for ecoPrimals, a sovereign scientific computing ecosystem where the science is executable, the infrastructure is inspectable, and the claims can be reproduced by anyone with commodity hardware.

Developer: ecoPrimal — human + synthetic intelligence
Organization: ecoPrimals
License: CC-BY-SA 4.0 (documents) · AGPL-3.0-or-later (code)
Status: Living document — grows with the ecosystem
Last Updated: March 17, 2026


What You Can Do With This

ecoPrimals lets you:

  • Run real scientific pipelines locally — genomics, protein structure, lattice QCD, pharmacometrics, precision agriculture, signal processing
  • Reproduce published results — 175+ papers across 7 domains, each as a binary you can run and verify
  • Use any GPU — NVIDIA, AMD, Intel — no CUDA lock-in, no vendor toolchain
  • Own your data and compute — nothing leaves your machine, no cloud, no API keys, no institutional access required
  • Scale from one desktop to a lab cluster — same code, same binaries

In 5 minutes, you can verify this yourself:

curl --proto '=https' --tlsv1.2 -sSf https://sh.rustup.rs | sh
git clone https://github.com/ecoPrimals/wetSpring && cd wetSpring/barracuda
cargo test --workspace          # 1,443+ tests, 0 failures
cargo run --release --bin validate_anderson_3d   # exit 0 = pass
cargo deny check                # zero license violations, zero C dependencies

If those commands run, the claims in this repository are verified. No institutional access. No proprietary software. No cloud.


How the System Works

┌─────────────────────────────────────────────────────────────┐
│                    What You See (Public)                     │
│                                                             │
│  sporePrint ──── this repo: proof and documentation         │
│       │                                                     │
│       ▼                                                     │
│  Springs ──────── 7 science repos, each with executable     │
│  (wetSpring,      experiments that reproduce published      │
│   hotSpring,      papers on commodity hardware              │
│   neuralSpring,                                             │
│   airSpring,          ┌──────────────────────────┐          │
│   groundSpring,       │  What Powers It (Public)  │          │
│   healthSpring,       │                          │          │
│   ludoSpring)         │  BarraCuda ── 806 GPU    │          │
│       │               │    math shaders (the     │          │
│       │               │    sovereign cuBLAS)     │          │
│       ▼               │                          │          │
│  Validation ────────► │  ToadStool ── hardware   │          │
│  binaries that        │    discovery + compute   │          │
│  exit 0 on pass,      │    orchestration         │          │
│  1 on failure         │                          │          │
│                       │  coralReef ── sovereign  │          │
│                       │    GPU compiler (the     │          │
│                       │    sovereign nvcc)       │          │
│                       └──────────────────────────┘          │
└─────────────────────────────────────────────────────────────┘

Springs are validation environments — Rust binaries that reproduce published science. Primals are infrastructure components — the math engine, the hardware orchestrator, the compiler. Everything is pure Rust, AGPL-3.0, zero C dependencies.


The Numbers

20,695+ checks Validation binaries across 7 scientific domains — exit 0 on pass
175+ papers Reproduced from peer-reviewed literature
$0.044 per run Electricity cost for paper-parity lattice QCD (RTX 4070)
9.9× f64 uplift Consumer GPUs via DF64/WebGPU vs CUDA native f64
27 days From first spring to 10,796+ checks across 5 domains
27,169+ tests Combined across BarraCuda, ToadStool, and coralReef infrastructure
$15K total hardware The entire system runs on consumer hardware in a basement

See technical/HARDWARE_COST_ANALYSIS.md for the full cost analysis and architecture/EVOLUTION_TIMELINE.md for the day-by-day velocity record.


Find Your Path

You are... Start with
A faculty member or PI evaluating this work → For Faculty and PIs
A student or core facility wanting to use it → For Students and Core Facilities
A hardware builder or hobbyist with a GPU → For Hardware Builders and Hobbyists
A compliance officer, IRB, or legal reviewer → For Compliance and Institutional Review

Not sure? Read the Capability Parity Brief — a direct comparison against proprietary tools across 8 scientific domains.


The Ecosystem at a Glance

Seven Science Springs (All Public, AGPL-3.0)

Springs are validation environments — Rust binaries that reproduce published science and validate computational methods against known results.

Spring Domain Repository Checks
wetSpring Life science, microbiome, quorum sensing, field genomics ecoPrimals/wetSpring 5,707+
airSpring Precision agriculture, ET₀, soil hydrology, phenology ecoPrimals/airSpring 3,123+
neuralSpring ML primitives, reservoir computing, spectral analysis ecoPrimals/neuralSpring 4,500+
hotSpring Plasma physics, lattice QCD, GPU sovereign compute ecoPrimals/hotSpring 664+
groundSpring Uncertainty quantification, noise, spectral theory ecoPrimals/groundSpring 535+
healthSpring Human health, PK/PD, microbiome, biosignal, drug discovery ecoPrimals/healthSpring 474+
ludoSpring Game science, HCI, provenance, distributed compute ecoPrimals/ludoSpring 1,692+
Total 16,695+

Three Public Infrastructure Primals (All AGPL-3.0)

Primal Domain Repository
ToadStool Universal compute orchestration — CPU, GPU, NPU, edge ecoPrimals/toadStool
BarraCuda Pure mathematics — 806 WGSL f64 shaders, precision strategy ecoPrimals/barraCuda
coralReef Sovereign WGSL→native GPU compiler ecoPrimals/coralReef

Reading Guide

For a Scientist Evaluating the Science

  1. science/README.md — All 22 baseCamp papers with domain, key finding, validation status, and cross-spring dependencies. Reading order guides organized by discipline.

  2. science/01_anderson_qs.md — The headline result: Anderson localization as a null hypothesis for quorum sensing. 3,100+ checks. W_c = 16.26 ± 0.95 quantified. Three-tier validation.

  3. Spring repositories — Every experiment is a numbered binary you can run. The science is not summarized — it is executable.

For Someone Evaluating the Methodology

  1. methodology/CONSTRAINED_EVOLUTION_FORMAL.md — The core methodology paper. Environmental constraints (Rust's type system, Pure Rust directive, capability-based architecture) drive specialization toward fitness. Grounded in three biological lines of evidence: Taq polymerase, Lenski's LTEE, Rika Anderson's extremophile population genomics.

  2. methodology/K_NOME_PROGRAMMING.md — Knowledge-Numeric Observed & Mentored Evolutionary Programming. The operational methodology that produced this ecosystem. Darwinian substrate (compiler selects) + Lamarckian process (human expertise heritable through mentoring). 69,000+ iterations, 51B tokens, 185-day streak, one dev (ecoPrimal).

  3. methodology/P_NP_ENZYME_THESIS.md — Theoretical extension: enzymes as evidence that P ≠ NP.

  4. methodology/HOW_TO_START_A_SPRING.md — The operational playbook. You don't need to know how to code. You need to know how to talk. Phase 0→1→2→3+ protocol, conversation patterns, concrete example (fermentation spring), what it costs, what it produces.

For Someone Evaluating the Cost / Hardware

  1. technical/HARDWARE_COST_ANALYSIS.md — The f64 Vulkan discovery, the $0.044 run, $15K basement vs ICER/cloud cost analysis, NUCLEUS scaling math.

  2. technical/SOVEREIGN_GPU_PIPELINE_PROFILE.md — What we've already replaced (CUDA runtime, cuBLAS, nvcc, NVIDIA driver), current performance vs Kokkos, the 3/6/12-month roadmap, and the full sovereign stack diagram.

  3. audience/FOR_HARDWARE_BUILDERS_AND_HOBBYISTS.md — What your GPU actually does, how to build toward the NUCLEUS bonding model, Games@Home distributed compute.

For Someone Evaluating the Infrastructure

  1. architecture/ECOSYSTEM_ARCHITECTURE.md — The technical architecture: UniBin → ecoBin → genomeBin ladder, NUCLEUS deployment composition, bonding model, Neural API, Dark Forest security.

  2. architecture/PRIMAL_CATALOG.md — All 14 primals: capabilities, test counts, production status.

  3. architecture/SPRING_CATALOG.md — All 7 springs: current phase, check counts, papers reproduced, cross-spring data flow.

For Grant Reviewers

technical/GRANT_TECHNICAL_APPENDIX.md — Validation evidence by agency program (NIH, NSF, USDA, DOE, ARPA-H). Every claim references a public binary with explicit pass/fail output.

For Potential Collaborators


The Science Papers (baseCamp)

These are independent scientific explorations produced by applying the ecoPrimals stack to questions driven by curiosity and domain expertise. Each stands alone as a potential publication. Together they demonstrate that sovereign scientific computing produces real, publishable science across multiple domains.

Foundation Papers

Paper Title Domain Status
01 Anderson Localization as QS Null Hypothesis Physics × Microbiology Validated — 3,100+ checks
06 Anderson as the Mechanism Behind No-Till Soil Health Soil Ecology × Physics Validated — Track 4 complete
07 Sovereign WDM Simulation on Consumer GPU Plasma Physics × Distributed Computing Validated — hotSpring v0.6.31
12 Anderson in Immunological Signaling Immunology × Physics × Pharmacology Validated — 329/329 checks
17 Game Design as Rigorous Science Game Science × HCI Validated — 1,692/1,692 checks

Full baseCamp Index

science/README.md — all 22 papers with reading order guides for microbiologists, physicists, soil scientists, immunologists, GPU researchers, game designers, economists, and field genomics researchers.

science/CROSS_SPRING_EVIDENCE_MAP.md — how baseCamp papers draw from multiple springs, where independent implementations converge on the same results, and what's still open.

science/STRUCTURE_PREDICTION_ROADMAP.md — coralForge: sovereign AlphaFold-quality structure prediction. Current status (154/154 checks), the isomorphism proof, LTEE application ($1K vs $83K cloud), and what it enables beyond protein folding (drug docking, metagenomics, enzyme engineering).


Document Map

sporePrint/
├── README.md                       ← this file (whitepaper index)
├── LICENSE                         ← CC-BY-SA 4.0 (docs) + AGPL-3.0 (code)
├── CHANGELOG.md                    ← whitepaper evolution log
│
├── audience/                       ← start here — find your reading path
│   ├── FOR_FACULTY_AND_PIS.md      ← what it replaces, costs, benchmarks
│   ├── FOR_STUDENTS_AND_CORE_FACILITIES.md
│   ├── FOR_HARDWARE_BUILDERS_AND_HOBBYISTS.md
│   ├── FOR_COMPLIANCE_AND_INSTITUTIONAL_REVIEW.md
│   └── CAPABILITY_PARITY_BRIEF.md  ← 8-domain parity vs proprietary tools
│
├── technical/                      ← capability and collaboration docs
│   ├── DRUG_DISCOVERY_PIPELINE.md  ← Anderson MATRIX, 329/329 checks
│   ├── MSU_ASSET_ACCELERATION.md   ← Genomics Core, ICER, ADDRC integration
│   ├── GRANT_TECHNICAL_APPENDIX.md ← NIH/NSF/USDA/DOE evidence tables
│   ├── KNOME_TEACHING_BRIEF.md     ← K-Nome pedagogy
│   ├── HARDWARE_COST_ANALYSIS.md   ← $0.044/run, f64 Vulkan discovery, $15K HPC
│   └── SOVEREIGN_GPU_PIPELINE_PROFILE.md ← vendor replacement: what's done, what's next
│
├── methodology/                    ← how it was built
│   ├── CONSTRAINED_EVOLUTION_FORMAL.md ← the methodology paper
│   ├── K_NOME_PROGRAMMING.md           ← K-Nome operational framework
│   ├── P_NP_ENZYME_THESIS.md           ← P≠NP enzyme argument
│   ├── KNOWLEDGE_COMMONS_TARGETS.md    ← what others can build, scyBorg permanence
│   └── HOW_TO_START_A_SPRING.md        ← operational playbook: anyone can do this
│
├── architecture/                   ← what was built
│   ├── ECOSYSTEM_ARCHITECTURE.md   ← UniBin/ecoBin/NUCLEUS/Neural API
│   ├── PRIMAL_CATALOG.md           ← 14 primals, capabilities, test counts
│   ├── SPRING_CATALOG.md           ← 7 springs, checks, papers, data flow
│   ├── SOVEREIGN_PRIOR_ART_CATALOG.md
│   └── EVOLUTION_TIMELINE.md       ← 27-day sprint, day-by-day record
│
└── science/                        ← the baseCamp papers
    ├── README.md                   ← science index + reading order by discipline
    ├── CROSS_SPRING_EVIDENCE_MAP.md   ← convergence across springs, open questions
    ├── STRUCTURE_PREDICTION_ROADMAP.md ← coralForge → AlphaFold-quality, LTEE
    ├── 01_anderson_qs.md           ← Paper 01: Anderson QS (W_c = 16.26 ± 0.95)
    ├── 02_ltee_extensions.md
    ├── 03_bioag_microbiome.md
    ├── 04_sentinel_microbes.md
    ├── 05_cross_species_signaling.md
    ├── 06_notill_anderson.md       ← Paper 06: dimensional collapse in soil
    ├── 07_sovereign_wdm.md         ← Paper 07: $0.044 lattice QCD
    ├── 08_npu_agricultural_iot.md
    ├── 09_field_genomics.md
    ├── 10_dynamical_qcd_production.md
    ├── 11_bingocube_nautilus_shell.md
    ├── 12_immunological_anderson.md ← Paper 12: Anderson in cytokines (329/329)
    ├── 13_sovereign_human_health.md
    ├── 15_precision_brain_heterogeneous_gpu.md
    ├── 16_anaerobic_aerobic_qs.md
    ├── 17_game_design_rigorous_science.md
    ├── 18_rpgpt_sovereign_rpg_engine.md
    ├── 19_games_at_home_distributed_human_computation.md
    ├── 20_novel_ferment_transcript_economics.md
    ├── 21_sovereign_sample_provenance.md
    └── 22_zero_knowledge_medical_provenance.md

What Is Not Here

This repository contains the science, methodology, architecture, and public-facing capability documentation. It does not contain:

  • PhD thesis (whitePaper/gen3/thesis/) — working draft, not yet public
  • atlasHugged — the philosophical and human side of this work; will be published separately as guidePost/ when ready
  • About / personal background — available in whitePaper/gen3/about/ for non-anonymous academic handoff; not included in the public science repo
  • Faculty outreach materials — internal, in private whitePaper layers
  • wateringHole — internal ecosystem guidance for primals; not public

What Others Can Build

methodology/HOW_TO_START_A_SPRING.md — The operational playbook for starting your own spring. You don't need a CS degree, prior Rust experience, or institutional access. You need domain knowledge (in anything), focus, patience, and a used GPU.

methodology/KNOWLEDGE_COMMONS_TARGETS.md — 9 domains ready now with existing primals + public data: antibiotic resistance, wastewater surveillance, marine ecology, materials science, climate crop modeling, veterinary PK/PD, and more. Why public data + consumer hardware + scyBorg = permanently secured knowledge commons.

The companion repo guidePost/ (planned) will hold atlasHugged/ — the ethical, human, and philosophical layer: five questions for John Galt, the orthogonal synthesis, the new city, the love letter, the temptation of kingdoms.


Why "sporePrint"

A spore print is how mycologists identify species they have never seen before. You press the cap to paper and leave it overnight. In the morning: the permanent record of what the organism is, what it can produce, and how to grow it yourself.

This repository is the spore print for ecoPrimals. The permanent, public, verifiable impression of a sovereign scientific computing ecosystem. Clone it. Run it. Verify it. Grow from it.


20,695+ checks. 175+ papers. 7 domains. Consumer hardware. One system. AGPL-3.0.
The science is not a claim — it is executable evidence.

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Public verification portal — executable claims, reproduction guides, and documentation for the ecoPrimals sovereign computing ecosystem

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