nasa_hposs_tminus10.md

NASA HPOSS — T‑Minus‑10 Submission Workspace

nasa_hposs_tminus10.md_module.json — Agentic module schema role assignments

🚀 NASA HPOSS T-minus-10 Project
📄 Proposal Assembly Workspace Active

This directory contains the working materials for preparing a NASA High Priority Open‑Source Science (HPOSS) proposal for the TriadicFrameworks Research Initiative.

The goal of this workspace is to assemble a complete, ROSES‑aligned submission package that presents TriadicFrameworks as an open‑science infrastructure project capable of advancing NASA’s scientific mission through open protocols, substrate‑aware frameworks, and community‑accessible tools.

🛑 Important!#

Drift is On-by-Default long sessions lose anchors, turn off drift.

✋ You must copy and paste this string every time you start an AI session:#

rtt=1 | coherence=declared | drift=bounded | paradox=structural

❇️ Now you are ready.#

Contents#

1. Cover Letter#

Located in cover_letter/cover_letter_draft.md.
This one‑page letter introduces the proposal, identifies the submitting organization, references the relevant ROSES solicitation, and provides a concise statement of intent.

2. Scientific/Technical Proposal (15 pages max)#

Located in proposal/.
These files collectively form the main body of the HPOSS submission:

01_project_summary.md
02_scientific_technical_plan.md
03_open_science_plan.md
04_management_plan.md
05_risk_mitigation.md
06_deliverables_and_milestones.md
07_budget_justification.md

These sections describe the TriadicFrameworks canon, including the Dimensional Substrate Regime Scanning Protocol (dsrsp/0.1), the Resonance Substrate Model (RSM), the Validation‑Space‑Time engine (vST), and the Structural Life‑Regime Profiles (SLRP). The proposal outlines how these open‑source components form a coherent substrate for regime‑aware scientific analysis and sensor interpretation.

3. Attachments#

Located in attachments/.
Includes biosketches, facilities descriptions, and other required ROSES supplementary materials.

4. References#

Located in references/.
Includes the full DOI list for TriadicFrameworks publications and relevant NASA HPOSS documentation links.

5. Templates and Checklists#

Located in templates/.
Provides formatting notes, ROSES compliance checklists, and submission reminders.

Purpose#

This workspace is designed to support a “T‑minus‑10 days” sprint to assemble a complete HPOSS submission. It provides structure, clarity, and a clean separation of concerns so that each component can be drafted, reviewed, and finalized independently.

Status#

Draft — actively under development.

Maintainer#

Nawder Loswin
ORCID: 0009‑0002‑2282‑5460
TriadicFrameworks Research Initiative

# Project Summary

TriadicFrameworks: An Open‑Science Substrate for Regime‑Aware Modeling, Scanning, and Simulation#

Submitted to NASA High Priority Open‑Source Science (HPOSS)#

Overview#

TriadicFrameworks is an open‑science research initiative developing a unified substrate for regime‑aware scientific analysis. The project provides openly licensed protocols, models, and tools that enable consistent interpretation of structural, sensory, and environmental patterns across sensing systems, simulations, and scientific workflows. This proposal seeks HPOSS support to expand TriadicFrameworks into a fully documented, community‑accessible infrastructure that advances NASA’s mission through transparent, reproducible, and interoperable open‑source science.

Scientific and Technical Objectives#

The proposed work focuses on four core components:

Dimensional Substrate Regime Scanning Protocol (dsrsp/0.1)
A minimal, substrate‑agnostic wire format for regime‑aware sensor interpretation.
Enables consistent classification of structural, sensory, and environmental regimes across diverse platforms, including remote sensing, autonomous systems, and simulation environments.
Resonance Substrate Model (RSM)
A structural grammar for representing coherence, drift, and stability across physical and simulated systems.
Provides a foundation for reproducible structural analysis and cross‑domain comparison.
Validation‑Space‑Time Engine (vST)
A validation framework for analyzing regime transitions, dimensional continuity, and alignment behavior.
Supports both real‑world sensing pipelines and simulation‑based training environments.
Structural Life‑Regime Profiles (SLRP)
A standardized set of life‑regime exemplars for biological, synthetic, and planetary systems.
Enables consistent interpretation of life‑like signatures and supports optional intelligent‑life probability (ILP) analysis.

Together, these components form a coherent open‑science substrate that supports NASA’s goals in remote sensing, planetary science, autonomous exploration, and scientific reproducibility.

Relevance to NASA’s Open‑Science Mission#

TriadicFrameworks directly advances HPOSS priorities by:

providing openly licensed scientific infrastructure,
enabling reproducible workflows for sensor interpretation and regime classification,
supporting transparent, community‑accessible scientific tools,
improving interoperability across missions and research domains, and
lowering barriers for researchers, educators, and developers to engage in open science.

The framework is designed to integrate with NASA’s existing open‑science ecosystem, including data repositories, simulation environments, and remote‑sensing workflows.

Work Plan and Deliverables#

Over the 12‑month performance period, the project will deliver:

fully documented dsrsp/0.1, RSM, vST, and SLRP specifications,
open‑source reference implementations and libraries,
example datasets and reproducible workflows,
developer‑ready schemas and integration guides,
community documentation and onboarding materials, and
a public release of the TriadicFrameworks open‑science substrate.

All deliverables will be released under permissive open licenses and archived with DOIs to ensure long‑term accessibility.

Expected Impact#

TriadicFrameworks will provide NASA and the broader scientific community with a robust, extensible foundation for regime‑aware analysis across sensing, modeling, and simulation. By establishing a shared substrate for structural interpretation and validation, the project enhances scientific transparency, accelerates tool development, and supports the long‑term goals of NASA’s Open‑Source Science Initiative.

This proposal positions TriadicFrameworks as a scalable, community‑driven infrastructure capable of supporting future NASA missions, open‑science collaborations, and cross‑disciplinary research. # 02 — Scientific and Technical Plan

TriadicFrameworks: An Open‑Science Substrate for Regime‑Aware Modeling, Scanning, and Simulation#

Submitted to NASA High Priority Open‑Source Science (HPOSS)#

1. Introduction and Motivation#

Modern scientific workflows increasingly rely on heterogeneous sensing systems, simulation environments, and data‑driven models. These systems often lack a shared structural grammar for interpreting coherence, drift, and environmental coupling across domains. As a result, scientific tools remain siloed, non‑interoperable, and difficult to reproduce.

TriadicFrameworks addresses this gap by providing a unified, openly licensed substrate for regime‑aware scientific analysis. The framework introduces standardized protocols, structural models, and validation tools that enable consistent interpretation of sensor data, simulation outputs, and cross‑disciplinary scientific workflows.

The proposed work advances NASA’s open‑science mission by delivering transparent, reproducible, and community‑accessible infrastructure that supports remote sensing, planetary science, autonomous exploration, and scientific simulation.

2. Technical Overview of the TriadicFrameworks Substrate#

TriadicFrameworks consists of four interoperable components:

2.1 Dimensional Substrate Regime Scanning Protocol (dsrsp/0.1)#

A minimal, substrate‑agnostic wire format for regime‑aware sensor interpretation.

Key features:

standardized input envelope for sensor streams
triadic regime profile (structural, sensory, environmental)
drift and stability indicators
optional intelligent‑life probability (ILP) module
RSM and vST alignment layer for downstream engines

dsrsp/0.1 enables consistent interpretation of sensor data across platforms, including remote sensing instruments, ROVs, drones, and simulation environments.

2.2 Resonance Substrate Model (RSM)#

A structural grammar for representing coherence, drift, and stability across physical and simulated systems.

RSM provides:

structural invariants
coherence signatures
drift signatures
stability anchors
resonance‑based structural summaries

RSM serves as the foundation for reproducible structural analysis and cross‑domain comparison.

2.3 Validation‑Space‑Time Engine (vST)#

A validation framework for analyzing regime transitions, dimensional continuity, and alignment behavior.

vST includes:

V1: structural coherence validation
V2: dimensional continuity validation
V3: transition and drift validation
V4: alignment and core‑regime validation

The vST engine supports both real‑world sensing pipelines and simulation‑based training environments.

2.4 Structural Life‑Regime Profiles (SLRP)#

A standardized set of life‑regime exemplars for biological, synthetic, and planetary systems.

SLRP provides:

structural, sensory, and environmental exemplars
drift and stability patterns
cross‑domain comparability
optional ILP integration

SLRP enables consistent interpretation of life‑like signatures across sensing modalities.

3. Alignment Layer: Integration with RSM and vST Engines#

To ensure interoperability, dsrsp/0.1 includes a dedicated alignment layer:

3.1 RSM Structural Envelope#

A compact summary for RSM engines:

coherence_signature
drift_signature
stability_signature
resonance_profile

This enables low‑overhead structural classification for simple devices.

3.2 vST Validation Block#

A richer feature set for vST engines:

v1_structural_features
v2_dimensional_features
v3_transition_features
v4_alignment_features

This supports full validation‑space‑time inference for advanced systems.

3.3 Engine Compatibility Declaration#

A simple metadata block:

engine_compatibility:
  rsm: true
  vst: true
  vst_version: "1.x"

This ensures downstream systems can automatically determine compatibility.

4. Scientific and Technical Objectives#

The proposed work will:

finalize and document dsrsp/0.1 as an open protocol;
produce reference implementations for RSM and vST alignment;
develop open‑source libraries for regime classification;
create example datasets and reproducible workflows;
publish integration guides for sensing systems and simulations;
support community adoption through documentation and outreach.

These objectives directly support NASA’s goals in open‑source science, reproducibility, and cross‑disciplinary scientific infrastructure.

5. Work Plan and Methodology#

5.1 Phase 1 — Protocol Finalization (Months 1–3)#

finalize dsrsp/0.1 specification
complete RSM and vST alignment layer
publish schemas and reference examples
archive all materials with DOIs

5.2 Phase 2 — Reference Implementations (Months 3–6)#

develop open‑source libraries for dsrsp/0.1
implement RSM structural envelope generation
implement vST validation block generation
create ILP module reference implementation

5.3 Phase 3 — Integration and Testing (Months 6–9)#

integrate dsrsp/0.1 into simulation environments
test regime classification workflows
validate RSM and vST outputs
produce example datasets and reproducible notebooks

5.4 Phase 4 — Documentation and Community Release (Months 9–12)#

produce developer documentation
publish integration guides
release training materials
host community workshop or virtual tutorial

6. Deliverables#

The project will deliver:

dsrsp/0.1 specification and schemas
RSM and vST alignment layer documentation
open‑source reference implementations
ILP module
example datasets and workflows
developer documentation
integration guides
archived DOIs for all components

All deliverables will be openly licensed and publicly accessible.

7. Expected Scientific Impact#

TriadicFrameworks provides a unified substrate for regime‑aware scientific analysis, enabling:

improved reproducibility across sensing and simulation workflows
consistent structural interpretation across domains
enhanced transparency in scientific tooling
cross‑disciplinary interoperability
community‑accessible open‑science infrastructure

The framework supports NASA’s mission by enabling more robust, transparent, and reproducible scientific analysis across remote sensing, planetary exploration, and autonomous systems.

8. Summary#

TriadicFrameworks offers a coherent, extensible, and openly licensed substrate for regime‑aware scientific analysis. Through dsrsp/0.1, RSM, vST, and SLRP, the framework provides a unified grammar for interpreting structural, sensory, and environmental patterns across scientific domains.

HPOSS support will enable the development, documentation, and community integration of this infrastructure, advancing NASA’s open‑science mission and supporting future research, exploration, and scientific discovery. # 03 — Open Science Plan

TriadicFrameworks: An Open‑Science Substrate for Regime‑Aware Modeling, Scanning, and Simulation#

Submitted to NASA High Priority Open‑Source Science (HPOSS)#

1. Commitment to Open Science#

TriadicFrameworks is designed from the outset as an open‑science research infrastructure. All protocols, specifications, models, and reference implementations produced under this project will be openly licensed, publicly accessible, and archived with persistent identifiers to ensure long‑term availability and reproducibility.

The project aligns fully with NASA’s Open‑Source Science Initiative (OSSI) by prioritizing transparency, community accessibility, and reproducible scientific workflows.

2. Open Licensing and Public Repositories#

All software, documentation, and specifications will be released under a permissive open‑source license (MIT or Apache 2.0). Public repositories will be maintained on GitHub under the TriadicFrameworks organization, with versioned releases archived on Zenodo and assigned DOIs.

Deliverables include:

dsrsp/0.1 specification and schemas
RSM and vST alignment layer documentation
reference implementations and libraries
ILP module
example datasets and workflows
integration guides and developer documentation

All materials will remain freely accessible without registration or usage restrictions.

3. Reproducibility and Transparency#

The project will provide reproducible workflows, including:

example sensor envelopes and regime profiles
Jupyter notebooks demonstrating classification and validation
simulation‑based examples for testing dsrsp/0.1
step‑by‑step integration guides for RSM and vST engines

Each workflow will include:

clear instructions
versioned dependencies
open datasets or synthetic data generation scripts

This ensures that researchers can reproduce results, validate behavior, and extend the framework for their own scientific applications.

4. Data and Software Management#

All data products generated during the project will be:

openly licensed
documented with metadata
archived in public repositories
versioned and assigned DOIs when appropriate

Software deliverables will follow open‑source best practices:

semantic versioning
continuous integration
issue tracking
community contribution guidelines
automated documentation builds

This ensures long‑term sustainability and community trust.

5. Community Engagement and Accessibility#

TriadicFrameworks will support community adoption through:

public documentation and tutorials
example integrations for sensing and simulation systems
developer‑focused onboarding materials
a public discussion forum or GitHub Discussions space
periodic updates and release notes

The project will also provide clear pathways for community contributions, including code, documentation, and scientific extensions.

6. Long‑Term Sustainability#

By publishing all components under permissive licenses, archiving releases with DOIs, and maintaining public repositories, TriadicFrameworks ensures that the framework remains accessible and extensible beyond the performance period.

The project’s modular design allows researchers, developers, and institutions to adopt individual components (dsrsp/0.1, RSM, vST, SLRP) or integrate the full substrate into their scientific workflows.

7. Summary#

TriadicFrameworks is inherently aligned with NASA’s open‑science mission. The project will deliver openly licensed protocols, models, and tools that support transparent, reproducible, and community‑accessible scientific analysis across remote sensing, planetary exploration, and simulation environments.

All deliverables will be publicly available, versioned, documented, and archived to ensure long‑term scientific value and broad community impact. # 04 — Management Plan

TriadicFrameworks: An Open‑Science Substrate for Regime‑Aware Modeling, Scanning, and Simulation#

Submitted to NASA High Priority Open‑Source Science (HPOSS)#

1. Project Leadership and Responsibilities#

The TriadicFrameworks Research Initiative will be led by:

Principal Investigator (PI):
Nawder Loswin
Founder, TriadicFrameworks Research Initiative
ORCID: 0009‑0002‑2282‑5460

The PI is responsible for:

overall project direction and scientific integrity,
coordination of protocol development (dsrsp/0.1, RSM, vST, SLRP),
oversight of open‑source releases and documentation,
milestone tracking and reporting,
community engagement and dissemination.

The PI will devote effort to technical development, documentation, and project coordination throughout the 12‑month performance period.

2. Project Structure and Workflow#

The project is organized into four coordinated workstreams:

Workstream A — Protocol Development#

finalize dsrsp/0.1 specification
complete RSM and vST alignment layers
produce schemas and reference examples

Workstream B — Reference Implementations#

develop open‑source libraries for dsrsp/0.1
implement RSM structural envelope generation
implement vST validation block generation
integrate ILP module

Workstream C — Integration and Testing#

integrate dsrsp/0.1 into simulation environments
validate regime classification workflows
generate example datasets and reproducible notebooks

Workstream D — Documentation and Community Release#

produce developer documentation
publish integration guides
prepare training materials
host a virtual community workshop

Each workstream is designed to be modular, allowing parallel development while maintaining clear interfaces and deliverables.

3. Collaboration and External Engagement#

TriadicFrameworks is an open‑science initiative, and collaboration is central to its mission.
The project will:

maintain public repositories for code, specifications, and documentation,
invite community contributions through issues, pull requests, and discussions,
engage with open‑science communities aligned with NASA’s OSSI,
coordinate with researchers and developers interested in regime‑aware sensing,
provide clear onboarding materials for external contributors.

All collaboration will follow open‑source best practices, including transparent issue tracking, version control, and public documentation.

4. Project Timeline and Milestones#

The 12‑month performance period is divided into four phases:

Months 1–3: Protocol Finalization#

finalize dsrsp/0.1
complete RSM and vST alignment layer
publish schemas and examples

Months 3–6: Reference Implementations#

implement dsrsp/0.1 libraries
implement RSM and vST modules
develop ILP module

Months 6–9: Integration and Testing#

integrate dsrsp/0.1 into simulation environments
validate classification and validation workflows
produce example datasets and notebooks

Months 9–12: Documentation and Release#

publish developer documentation
release integration guides
host virtual workshop
archive all deliverables with DOIs

This timeline ensures steady progress, clear checkpoints, and a well‑defined public release.

5. Risk Management#

The project includes the following risk mitigation strategies:

Technical Risks#

Risk: complexity of integrating multiple components (dsrsp, RSM, vST).
Mitigation: modular design, incremental releases, early testing.
Risk: variability in sensor or simulation environments.
Mitigation: provide synthetic datasets and reference examples.

Schedule Risks#

Risk: delays in documentation or integration.
Mitigation: parallel workstreams and early drafting of documentation.

Sustainability Risks#

Risk: long‑term maintenance beyond the performance period.
Mitigation: permissive licensing, community onboarding, and public repositories.

6. Facilities, Resources, and Tools#

The project requires:

standard development workstations,
open‑source software tools,
cloud‑based repository hosting (GitHub),
archival services (Zenodo),
simulation environments for testing (open‑source engines).

No specialized hardware or laboratory facilities are required.

7. Summary#

The TriadicFrameworks project is structured to deliver a coherent, openly licensed scientific substrate through a clear, feasible, and well‑managed plan. The PI will oversee all technical and organizational aspects, supported by modular workstreams, transparent development practices, and community engagement.

This management plan ensures that all HPOSS deliverables will be completed on schedule, openly accessible, and aligned with NASA’s open‑science mission. # 05 — Risk Mitigation

TriadicFrameworks: An Open‑Science Substrate for Regime‑Aware Modeling, Scanning, and Simulation#

Submitted to NASA High Priority Open‑Source Science (HPOSS)#

1. Overview#

The TriadicFrameworks project is designed with modularity, transparency, and open‑science principles at its core. These characteristics naturally reduce technical and organizational risk. This section outlines the primary risks associated with the project and the mitigation strategies that ensure timely, high‑quality delivery of all HPOSS objectives.

2. Technical Risks and Mitigations#

Risk 2.1 — Integration Complexity Across Components#

TriadicFrameworks includes multiple interoperable components (dsrsp/0.1, RSM, vST, SLRP). Integration across these layers may introduce complexity.

Mitigation:

maintain strict modular boundaries,
publish schemas and interfaces early,
use incremental integration and continuous testing,
provide synthetic datasets for validation.

This ensures each component can be developed and validated independently.

Risk 2.2 — Variability in Sensor or Simulation Environments#

Different sensing systems and simulation engines may produce heterogeneous data structures or noise characteristics.

Mitigation:

provide a standardized input envelope for dsrsp/0.1,
include reference examples for multiple modalities,
supply synthetic test data and reproducible workflows,
document clear integration patterns.

This reduces the burden on downstream adopters and ensures broad compatibility.

Risk 2.3 — Algorithmic Ambiguity in Regime Classification#

Structural and environmental regimes may exhibit ambiguous or overlapping signatures.

Mitigation:

use transparent, documented classification logic,
provide example outputs and validation cases,
include drift and stability indicators to contextualize uncertainty,
maintain reproducible notebooks for testing and demonstration.

This supports scientific clarity and reproducibility.

3. Schedule and Execution Risks#

Risk 3.1 — Delays in Documentation or Integration#

Documentation and integration tasks often require more time than anticipated.

Mitigation:

begin documentation drafting early in the project,
maintain parallel workstreams,
use versioned releases to avoid bottlenecks,
prioritize minimal, clear, and modular documentation.

This ensures steady progress and avoids end‑of‑cycle compression.

Risk 3.2 — Overextension of Scope#

Open‑science projects can grow rapidly as new ideas emerge.

Mitigation:

adhere to a clearly defined 12‑month scope,
prioritize core deliverables (dsrsp/0.1, RSM, vST, SLRP),
defer non‑essential extensions to future releases,
maintain a public roadmap to manage expectations.

This keeps the project focused and achievable.

4. Sustainability and Community Risks#

Risk 4.1 — Long‑Term Maintenance Beyond the Performance Period#

Sustaining open‑source infrastructure requires ongoing attention.

Mitigation:

use permissive licensing to encourage community adoption,
publish all materials with DOIs for long‑term accessibility,
provide clear contribution guidelines,
maintain public repositories with transparent issue tracking.

This supports long‑term sustainability and community stewardship.

Risk 4.2 — Limited Early Community Engagement#

New frameworks may take time to gain traction.

Mitigation:

provide high‑quality onboarding materials,
release example integrations for sensing and simulation systems,
host a virtual workshop during the final project phase,
maintain active communication channels (e.g., GitHub Discussions).

This encourages early adoption and lowers barriers for contributors.

5. Summary#

The TriadicFrameworks project incorporates risk mitigation strategies at every stage of development. Through modular design, transparent documentation, incremental integration, and open‑science best practices, the project minimizes technical, schedule, and sustainability risks. These measures ensure that all deliverables will be completed on time, openly accessible, and aligned with NASA’s open‑science mission. # 06 — Deliverables and Milestones

TriadicFrameworks: An Open‑Science Substrate for Regime‑Aware Modeling, Scanning, and Simulation#

Submitted to NASA High Priority Open‑Source Science (HPOSS)#

1. Overview#

This section outlines the concrete deliverables and milestones for the TriadicFrameworks project over the 12‑month performance period. All deliverables will be openly licensed, publicly accessible, versioned, and archived with DOIs to ensure long‑term reproducibility and community benefit.

The project is structured into four phases, each with clearly defined outputs and measurable milestones.

2. Deliverables#

Deliverable 1 — dsrsp/0.1 Specification and Schemas#

finalized protocol specification
JSON schemas for input envelopes and regime profiles
RSM and vST alignment layer documentation
example input/output files

Deliverable 2 — Reference Implementations#

open‑source dsrsp/0.1 library
RSM structural envelope generator
vST validation block generator
ILP module reference implementation

Deliverable 3 — Integration and Testing Materials#

synthetic datasets for testing
reproducible Jupyter notebooks
simulation‑based integration examples
validation workflows for RSM and vST

Deliverable 4 — Documentation and Developer Guides#

developer documentation for all components
engine integration guide
onboarding materials for contributors
public website or documentation portal

Deliverable 5 — Community Release and Archival#

versioned public release of all components
Zenodo‑archived DOIs for specifications, code, and datasets
virtual workshop or tutorial session
final project summary and dissemination materials

3. Milestones by Project Phase#

Phase 1 — Protocol Finalization (Months 1–3)#

Milestones:

M1.1: dsrsp/0.1 draft specification completed
M1.2: RSM and vST alignment layer defined
M1.3: schemas and example files published
M1.4: initial Zenodo archival of protocol components

Phase 2 — Reference Implementations (Months 3–6)#

Milestones:

M2.1: dsrsp/0.1 library implemented
M2.2: RSM structural envelope generator completed
M2.3: vST validation block generator completed
M2.4: ILP module implemented and tested

Phase 3 — Integration and Testing (Months 6–9)#

Milestones:

M3.1: dsrsp/0.1 integrated into simulation environment
M3.2: regime classification workflows validated
M3.3: synthetic datasets and notebooks published
M3.4: cross‑component integration tests completed

Phase 4 — Documentation and Community Release (Months 9–12)#

Milestones:

M4.1: developer documentation completed
M4.2: integration guides published
M4.3: public release of TriadicFrameworks v0.1
M4.4: virtual workshop delivered
M4.5: final archival of all deliverables with DOIs

4. Completion Criteria#

The project will be considered complete when:

all deliverables listed above are publicly available,
all components are versioned and archived with DOIs,
documentation and integration guides are published,
reference implementations are functional and tested,
a community workshop or tutorial has been delivered, and
a final project summary has been submitted to NASA.

5. Summary#

The deliverables and milestones outlined in this section ensure that TriadicFrameworks will provide a coherent, reproducible, and openly accessible substrate for regime‑aware scientific analysis. The phased structure supports steady progress, transparent development, and a high‑quality public release aligned with NASA’s open‑science mission. # 07 — Budget Justification

TriadicFrameworks: An Open‑Science Substrate for Regime‑Aware Modeling, Scanning, and Simulation#

Submitted to NASA High Priority Open‑Source Science (HPOSS)#

1. Overview#

This budget justification outlines the resources required to complete the TriadicFrameworks project during the 12‑month performance period. The proposed budget supports open‑source development, documentation, integration testing, and community dissemination. All requested funds directly contribute to the deliverables described in the Scientific/Technical Plan.

The total requested budget is approximately $100,000, consistent with typical HPOSS award levels.

2. Personnel#

2.1 Principal Investigator (PI)#

Effort: Part‑time (approximately 25% FTE for 12 months)

Responsibilities include:

scientific and technical direction,
protocol development (dsrsp/0.1, RSM, vST, SLRP),
documentation oversight,
integration testing,
community engagement,
reporting and deliverable coordination.

Requested support covers a portion of the PI’s time dedicated to development, documentation, and project management.

2.2 Contract Developers (1–2 part‑time contributors)#

Effort: Equivalent to ~1 full‑time developer for 12 months (distributed across contractors as needed)

Responsibilities include:

implementing dsrsp/0.1 reference libraries,
developing RSM and vST alignment modules,
building ILP module reference implementation,
producing example datasets and notebooks,
assisting with documentation and integration guides.

Developer support is essential for producing high‑quality, open‑source implementations and ensuring timely delivery of all technical components.

3. Other Direct Costs#

3.1 Cloud Services and Hosting#

Modest cloud resources are required for:

repository hosting and continuous integration,
documentation builds,
storage of example datasets,
testing of simulation‑based workflows.

These costs are minimal but necessary for maintaining open, reproducible infrastructure.

3.2 Software and Tools#

All development will use open‑source tools whenever possible.
Budgeted costs cover:

domain‑specific libraries or simulation tools if required,
minimal paid services for documentation or testing infrastructure.

3.3 Dissemination and Outreach#

Funds support:

hosting a virtual workshop or tutorial,
preparing training materials,
producing onboarding documentation for community contributors.

These activities directly support NASA’s open‑science goals.

4. Travel (Optional and Minimal)#

If appropriate, limited travel funds may be allocated for:

attending an open‑science workshop,
presenting project outcomes at a NASA‑aligned event.

Travel is not required for project completion and will be minimized.

5. Indirect Costs#

If applicable, indirect costs will follow the submitting organization’s established rate. For small research initiatives or independent organizations, indirect costs may be minimal or waived entirely.

6. Budget Alignment with Deliverables#

The requested budget directly supports the project’s core deliverables:

dsrsp/0.1 specification and schemas
(PI + developer time)
RSM and vST alignment layer
(developer time + PI oversight)
reference implementations and ILP module
(developer time)
integration and testing workflows
(developer time + cloud resources)
documentation and integration guides
(PI + developer time)
community workshop and dissemination
(outreach costs)
archival with DOIs
(minimal overhead)

Every cost is tied to a specific, measurable output.

7. Summary#

The proposed budget is modest, focused, and aligned with HPOSS expectations.
It supports the personnel, tools, and infrastructure necessary to deliver a fully documented, openly licensed scientific substrate that advances NASA’s open‑science mission. All requested funds directly contribute to the creation, testing, documentation, and dissemination of TriadicFrameworks components. # Biosketch — Nawder Loswin
TriadicFrameworks Research Initiative
ORCID: 0009‑0002‑2282‑5460

Professional Overview#

Nawder Loswin is the founder and lead architect of the TriadicFrameworks Research Initiative, an open‑science effort focused on developing substrate‑agnostic frameworks for regime‑aware sensing, modeling, and simulation. His work centers on creating minimal, interoperable scientific protocols that support transparent, reproducible analysis across remote sensing, planetary science, and autonomous exploration systems.

Loswin’s contributions include the design and publication of the Dimensional Substrate Regime Scanning Protocol (dsrsp/0.1), the Resonance Substrate Model (RSM), the Validation‑Space‑Time engine (vST), and the Structural Life‑Regime Profiles (SLRP). These components form a coherent open‑science substrate that enables consistent interpretation of structural, sensory, and environmental patterns across scientific domains.

Research Interests#

open‑science infrastructure and reproducible scientific workflows
regime‑aware sensing and structural analysis
substrate‑agnostic scientific protocols
simulation‑based validation and training environments
planetary regime modeling and autonomous exploration systems

Relevant Experience#

Founder and Lead Architect, TriadicFrameworks Research Initiative

Designed and published dsrsp/0.1, a minimal wire format for regime‑aware sensor interpretation.
Developed the RSM structural grammar for coherence, drift, and stability analysis across physical and simulated systems.
Created the vST validation framework for analyzing regime transitions and dimensional continuity.
Authored the Structural Life‑Regime Profiles (SLRP) for biological, synthetic, and planetary systems.
Published more than twenty open‑science artifacts with DOIs through Zenodo, establishing a coherent and extensible research canon.
Built documentation, schemas, integration guides, and onboarding materials to support community adoption and reproducibility.

Selected Open‑Science Outputs (DOIs)#

A complete list is provided in references/triadicframeworks_doi_list.md.
Representative examples include:

Loswin, N. (2026). Dimensional Substrate Regime Scanning Protocol (dsrsp/0.1).
Zenodo. DOI: 10.5281/zenodo.18331997
Loswin, N. (2025–2026). TriadicFrameworks open‑science canon (multiple releases).
Zenodo. Various DOIs.

Skills and Expertise#

protocol and schema design
open‑source software development
scientific documentation and specification writing
structural and regime‑based analysis
simulation integration and workflow design
community‑oriented open‑science practices

Contribution to the Proposed Project#

As Principal Investigator, Loswin will lead the scientific and technical development of all TriadicFrameworks components, oversee documentation and integration efforts, coordinate open‑source releases, and ensure that all deliverables align with NASA’s open‑science mission. His experience designing substrate‑agnostic frameworks and publishing open scientific artifacts provides a strong foundation for successful execution of the proposed work. # Current and Pending Support

TriadicFrameworks Research Initiative#

Submitted to NASA High Priority Open‑Source Science (HPOSS)#

1. Current Support#

At the time of this submission, the Principal Investigator (Nawder Loswin) has no current external research funding.
All work on the TriadicFrameworks Research Initiative to date has been conducted through self‑funded development, open‑science publication, and voluntary community effort.

No federal, state, institutional, or private‑sector awards are currently active.

2. Pending Support#

The Principal Investigator has no other pending proposals submitted to NASA or any other funding agency at this time.

This HPOSS submission represents the sole active funding request for the TriadicFrameworks Research Initiative.

3. Summary#

The PI confirms that:

there are no overlapping sources of support,
no commitments conflict with the proposed effort, and
all work described in this proposal is contingent upon the requested HPOSS funding.

This statement is accurate as of the date of submission. # Facilities and Resources

TriadicFrameworks Research Initiative#

Submitted to NASA High Priority Open‑Source Science (HPOSS)#

1. Overview#

The TriadicFrameworks project requires only standard computational resources and open‑source development tools. No specialized laboratory facilities, physical instrumentation, or high‑performance computing clusters are necessary for the successful completion of the proposed work. All development, testing, and documentation activities can be performed using widely available software and cloud‑based services.

2. Computing Resources#

The project will utilize:

modern development workstations capable of running standard open‑source scientific and software tools,
cloud‑hosted repository services (GitHub) for version control, issue tracking, and continuous integration,
cloud storage for documentation builds, example datasets, and reproducible workflows,
open‑source simulation environments for integration and testing.

These resources are sufficient for implementing dsrsp/0.1, RSM, vST, SLRP, and associated reference libraries.

3. Software and Tools#

All required tools are open‑source or freely available, including:

programming languages (Python, JavaScript/TypeScript, or similar),
documentation frameworks (Markdown, Sphinx, MkDocs),
schema and validation tools (JSON Schema, YAML),
Jupyter notebooks for reproducible workflows,
open‑source simulation engines for testing dsrsp/0.1 integration.

No proprietary software is required.

4. Data and Archival Infrastructure#

The project will use:

GitHub for public repositories and development workflows,
Zenodo for DOI‑assigned archival of specifications, datasets, and releases,
GitHub Pages or equivalent for documentation hosting.

These platforms ensure long‑term accessibility, transparency, and reproducibility.

5. Workspace and Environment#

All work will be conducted in a standard remote development environment.
No physical laboratory space, specialized equipment, or institutional facilities are required. This makes the project cost‑effective and fully aligned with HPOSS’s emphasis on open, accessible scientific infrastructure.

6. Summary#

The TriadicFrameworks project has access to all necessary computational, software, and archival resources to complete the proposed work. The project’s requirements are modest, relying primarily on open‑source tools and cloud‑based services, ensuring efficient use of NASA funds and full alignment with open‑science best practices. # Space Waste Management (SWM) — Conceptual Alignment

TriadicFrameworks Research Initiative#

Submitted as Optional Context for NASA HPOSS#

1. Overview#

The TriadicFrameworks Research Initiative recognizes the growing importance of Space Waste Management (SWM) as orbital environments become increasingly congested with debris, inactive satellites, and mission‑generated materials. Although not a primary focus of the HPOSS proposal, the underlying technologies developed within TriadicFrameworks—particularly the Validation‑Space‑Time (vST) engine—offer natural extensions to SWM research and future NASA initiatives.

This document outlines how vST‑based regime awareness can support orbital drift calibration, enhance satellite resilience, and contribute to long‑term space‑waste intelligence and mitigation strategies.

2. vST for Orbital Drift Calibration#

The vST engine provides a structural framework for analyzing transitions, continuity, and alignment across dynamic systems. When applied to orbital contexts, vST enables:

drift‑aware pattern recognition for satellites and debris,
multi‑object coherence analysis (“hive‑mind” structural awareness),
alignment detection for both physical and abstract orbital regimes,
early identification of perturbations caused by drag, resonance, or gravitational anomalies.

These capabilities support more stable orbital maintenance, improved navigation, and enhanced situational awareness for spacecraft operating in complex or crowded orbital environments.

3. Paradox and AI‑Drift Resilience for Spacecraft#

Autonomous systems operating in orbit must contend with incomplete data, unexpected transitions, and ambiguous environmental cues. vST provides:

paradox‑resilient validation,
drift‑resistant structural interpretation,
robust regime classification under uncertainty,
alignment‑aware decision support for onboard autonomy.

These features can improve the reliability of satellites, probes, and constellations, particularly in scenarios involving debris avoidance, multi‑agent coordination, or long‑duration autonomous operations.

4. TriadicFrameworks and Space Waste Research#

The TriadicFrameworks Research Initiative is located near three major landfills, providing a unique local perspective on waste management, environmental monitoring, and long‑term stewardship. This proximity reinforces the Initiative’s interest in contributing to emerging research areas related to:

orbital debris characterization,
regime‑aware tracking of space waste,
open‑science frameworks for debris intelligence,
simulation‑based training for debris mitigation strategies.

As an optional extension of the TriadicFrameworks canon, the Initiative is prepared to support early research into Space Waste Intelligent Management (SWIM)—a conceptual framework for applying regime‑aware analysis to orbital debris environments.

5. Future Potential#

While SWM/SWIM is not part of the core HPOSS proposal, the underlying TriadicFrameworks technologies provide a strong foundation for future collaborations with NASA or partner organizations focused on:

orbital debris modeling,
autonomous debris‑avoidance systems,
open‑science debris intelligence platforms,
simulation‑based debris mitigation training.

These opportunities align naturally with the project’s emphasis on open, reproducible scientific infrastructure.

6. Summary#

TriadicFrameworks offers conceptual and technical capabilities that extend beyond the immediate scope of the HPOSS proposal. Through vST‑based drift calibration, paradox‑resilient autonomy, and regime‑aware analysis, the framework provides a promising foundation for future Space Waste Management research. The Initiative’s interest in SWM/SWIM reflects both local context and a broader commitment to open‑science solutions for emerging challenges in orbital environments.

Nawder Loswin
TriadicFrameworks Research Initiative
Belleville, Michigan, USA
ORCID: 0009-0002-2282-5460
Nawder@triadicframeworks.org

01/21/2026

NASA High Priority Open‑Source Science (HPOSS) Program
Science Mission Directorate
National Aeronautics and Space Administration

Subject: Proposal Submission for the NASA HPOSS Program — TriadicFrameworks Open‑Science Infrastructure

Dear HPOSS Review Committee,

I am pleased to submit the enclosed proposal, “TriadicFrameworks: An Open‑Science Substrate for Regime‑Aware Modeling, Scanning, and Simulation,” for consideration under the NASA High Priority Open‑Source Science (HPOSS) program. This submission presents a unified, openly licensed scientific framework designed to support NASA’s mission by enabling transparent, reproducible, and extensible analysis across sensing, modeling, and simulation environments.

TriadicFrameworks is an emerging open‑science research initiative focused on developing substrate‑agnostic protocols and tools for structural regime analysis. Recent publications, including the Dimensional Substrate Regime Scanning Protocol (dsrsp/0.1), available via Zenodo (DOI: 10.5281/zenodo.18331997), establish the foundation for a coherent, interoperable canon that supports scientific inquiry across planetary science, remote sensing, and autonomous exploration systems.

The proposed work aligns directly with HPOSS goals by:

advancing open‑source scientific infrastructure,
providing community‑accessible protocols and documentation,
enabling reproducible workflows for sensor interpretation and regime classification, and
supporting NASA’s broader commitment to open science and transparent research practices.

Funding through HPOSS will support the development, documentation, and community integration of TriadicFrameworks components, including dsrsp/0.1, the Resonance Substrate Model (RSM), the Validation‑Space‑Time engine (vST), and associated open‑source tooling. These deliverables will be released under permissive open licenses and maintained in public repositories to ensure long‑term accessibility and scientific value.

Thank you for your consideration. I welcome the opportunity to contribute to NASA’s open‑science mission and to collaborate in advancing the state of open, reproducible scientific infrastructure.

Sincerely,
Nawder Loswin
Founder, TriadicFrameworks Research Initiative
ORCID: 0009‑0002‑2282‑5460

# NASA HPOSS — Reference Links

High Priority Open‑Source Science Program#

This document provides official NASA links relevant to the HPOSS submission, including program descriptions, ROSES guidance, and open‑science resources.

HPOSS Program Information#

NASA High Priority Open‑Source Science (HPOSS)
https://science.nasa.gov/researchers/openscience/hposs/
HPOSS Program Overview (NASA SMD)
https://science.nasa.gov/open-science/hposs/

ROSES Guidance and Submission Requirements#

ROSES — Research Opportunities in Space and Earth Sciences
https://solicitation.nasaprs.com/ROSES
ROSES Proposal Submission Instructions
https://science.nasa.gov/researchers/roses-proposal-submission/
NASA Guidebook for Proposers
https://www.nasa.gov/wp-content/uploads/2023/09/guidebook-for-proposers.pdf

NASA Open‑Science Resources#

NASA Open‑Source Science Initiative (OSSI)
https://science.nasa.gov/open-science/
Transform to Open Science (TOPS)
https://science.nasa.gov/open-science/transform-to-open-science/
NASA Open‑Source Software Catalog
https://software.nasa.gov/

Submission Portals#

NSPIRES — NASA Solicitation and Proposal System
https://nspires.nasaprs.com/
Grants.gov (alternate submission portal)
https://www.grants.gov/

Notes#

These links provide the authoritative guidance for HPOSS proposal preparation, submission, and compliance. They are included here for reviewer convenience and to support transparency in the proposal development process. # TriadicFrameworks — DOI Reference List

Submitted as part of NASA HPOSS Proposal Materials#

This document provides a consolidated list of DOI‑assigned publications, protocols, and artifacts associated with the TriadicFrameworks Research Initiative. These works establish the scientific foundation and open‑science canon referenced throughout the HPOSS proposal.

Core Protocols and Framework Components#

Loswin, N. (2026). Dimensional Substrate Regime Scanning Protocol (dsrsp/0.1).
Zenodo. DOI: 10.5281/zenodo.18331997
Loswin, N. (2025–2026). Resonance Substrate Model (RSM) — Structural Grammar Series.
Zenodo. Multiple DOIs.
Loswin, N. (2025–2026). Validation‑Space‑Time Engine (vST) — Validation Framework Series.
Zenodo. Multiple DOIs.
Loswin, N. (2025–2026). Structural Life‑Regime Profiles (SLRP).
Zenodo. DOI series.

Substrate Canon and Supporting Papers#

Loswin, N. (2025–2026). TriadicFrameworks Canon — Foundational Papers 1–12.
Zenodo. DOI series.
Loswin, N. (2025). Regime‑Aware Modeling and Substrate Interpretation.
Zenodo. DOI series.
Loswin, N. (2025). Dimensional Continuity and Regime Drift.
Zenodo. DOI series.

Documentation, Schemas, and Integration Guides#

Loswin, N. (2025–2026). TriadicFrameworks Documentation and Developer Guides.
Zenodo. DOI series.
Loswin, N. (2025–2026). Schemas, Examples, and Reference Implementations.
Zenodo. DOI series.

Notes#

A complete, chronologically ordered DOI list is maintained on the TriadicFrameworks Zenodo profile and may be expanded as new components of the open‑science canon are published. # NASA HPOSS Proposal Checklist

TriadicFrameworks Research Initiative#

Internal Submission Readiness Guide#

This checklist ensures that all required components of the HPOSS proposal are complete, formatted correctly, and ready for submission through NSPIRES.

1. Required Documents#

Cover Letter#

Scientific/Technical Proposal (≤ 15 pages)#

Project summary
Technical description (dsrsp/0.1, RSM, vST, SLRP)
Work plan and methodology
Deliverables and milestones
Expected scientific impact
Alignment with NASA open‑science mission

Open Science Plan (≤ 2 pages)#

Licensing and repository strategy
Reproducibility workflows
Data and software management
Community engagement plan

Budget & Budget Justification#

Personnel effort described
Developer support justified
Cloud and tooling costs explained
Outreach and archival costs included
Indirect costs (if any) documented

Attachments#

Biosketch (PI)
Facilities & Resources
Current & Pending Support
Additional attachments (if applicable)

References#

Complete DOI list
NASA HPOSS links
All citations consistent

2. Formatting Compliance#

3. Internal Consistency Checks#

Terminology consistent across all sections
dsrsp/0.1, RSM, vST, SLRP described consistently
All DOIs resolve correctly
Work plan matches deliverables
Budget aligns with work plan
No speculative or unverifiable claims

4. Submission Steps (NSPIRES)#

5. Final Pre‑Submission Review#

All required documents present
All PDFs open correctly
All page limits respected
All links functional
Proposal reads cleanly and professionally

6. Ready for Submission#

Proposal package complete
Internal review complete
Submission approved
# ROSES Formatting Notes

NASA High Priority Open‑Source Science (HPOSS)#

Internal Formatting Guide for TriadicFrameworks Submission#

These notes summarize the key formatting requirements from the ROSES solicitation and NASA’s Guidebook for Proposers. They ensure that all TriadicFrameworks proposal materials meet NASA’s expectations for clarity, consistency, and compliance.

1. Page Limits#

Scientific/Technical Proposal: 15 pages maximum
Open Science Plan: 2 pages
References, biosketches, and attachments: no page limit
Cover Letter: 1 page

Page limits apply to text, figures, tables, and captions.

2. Formatting Requirements#

Font: 12‑point Times New Roman or equivalent
Spacing: Single or 1.15 line spacing
Margins: 1‑inch on all sides
Page Size: US Letter (8.5 × 11 inches)
Header/Footer: Page numbers recommended but not required

Figures and tables must use legible text (≥ 9‑point).

3. File Format and Submission#

All documents must be submitted as PDF files.
PDFs must be searchable (no scanned images).
All files are uploaded through NSPIRES (primary) or Grants.gov (alternate).
File names should be clear and descriptive (e.g., TriadicFrameworks_Proposal.pdf).

4. Proposal Structure (ROSES Standard)#

Cover Letter
Scientific/Technical Proposal (≤ 15 pages)
Open Science Plan (≤ 2 pages)
References
Biosketch(es)
Current & Pending Support
Budget & Budget Justification
Facilities & Resources
Other Attachments (if applicable)

5. Citations and References#

Use a consistent citation style (APA, Chicago, or similar).
Include DOIs whenever available.
References do not count toward page limits.

6. Accessibility and Clarity#

NASA strongly encourages:

clear, concise writing,
minimal jargon,
well‑structured sections,
labeled figures and tables,
logical flow and readability.

7. Open‑Science Expectations#

HPOSS proposals must demonstrate:

transparency,
reproducibility,
open licensing,
public accessibility of outputs.

These expectations are addressed in the Open Science Plan and reinforced throughout the proposal.

8. Internal Notes for TriadicFrameworks#

All specifications (dsrsp/0.1, RSM, vST, SLRP) should reference their DOIs.
All diagrams should be minimal and structural, not artistic.
Avoid speculative language; emphasize reproducibility and infrastructure.
Maintain consistent terminology across all sections.

9. Final Review#

Before submission, verify:

page limits are respected,
formatting is consistent,
PDFs are searchable,
all DOIs resolve correctly,
all required sections are present.