L1 ⚛ L1-905 ◆ Frontier — not yet benchmarked

Proteostasis Collapse & Neurodegeneration

Neurodegeneration · Protein Aggregation

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Introduction

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Open frontier — governing equation defined, not yet benchmarked. Help build the digital twin or first benchmark and earn PWM.

Proteostasis Collapse & Neurodegeneration (Protein Aggregation) is a problem in Neurodegeneration. The forward model maps the hidden the unknown quantity to a measurement. The inverse goal is to recover the the unknown quantity from the observed data.

Governing Equation

Nucleation–elongation aggregation master equation (Knowles): aggregate mass M(t) from primary/secondary nucleation and elongation rate constants; clearance by proteostasis network.

Neurodegeneration L_DAG load reduction

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Digital Twins

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Each digital twin (L2) is a concrete instantiation of this principle's forward operator with a specific Ω parameter space. Benchmarks (L3) are seeded from each twin.

#	Digital Twin	ID
1	Aggregation-Clearance Control Twin	L2-905

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On-Chain Artifact Registry

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Principle — Proteostasis Collapse & Neurodegeneration L1-905 Testnet

PWM Registry — Principle #905

Proteostasis Collapse & Neurodegeneration · P = (E, G, W, C)

Forward Model

Nucleation–elongation aggregation master equation (Knowles): aggregate mass M(t) from primary/secondary nucleation and elongation rate constants; clearance by proteostasis network.

Sensing: —

Carrier: —

Problem class: —

Recover: —

Noise model: —

DAG Decomposition — G = (V, A)

L_DAG:

Well-Posedness Certificate

Existence

—

Uniqueness

—

Stability

—

Error-Bounding Methodology

Primary: load reduction

Hardness function: grand_challenge

📝 Markdown source — L1-905.md

# ⚛ L1 Principle — Proteostasis Collapse & Neurodegeneration **ID:** `L1-905` · **Status:** ⊙ Testnet (genesis catalog) > **🌐 Domain:** Neurodegeneration — *Protein Aggregation* --- ## 🧠 1. Introduction **Proteostasis Collapse & Neurodegeneration** is a **inverse problem**, within the **Protein Aggregation** sub-domain of **Neurodegeneration**. ## ⚙ 2. Forward Model ``` Nucleation–elongation aggregation master equation (Knowles): aggregate mass M(t) from primary/secondary nucleation and elongation rate constants; clearance by proteostasis network. ``` ## 🔬 3. Physics Fingerprint | Property | Value | |---|---| | Domain | Neurodegeneration | | Sub domain | Protein Aggregation | ## 📡 4. Measurement Model | Metric | Value | |---|---| | Metric | load_reduction | ## ⚖ 6. Hardness Function Hardness scales as **`grand_challenge`** on **load_reduction**. ## 💾 7. Reference Dataset - **CSF amyloid/tau longitudinal (ADNI-like)** · weight 0.5 · IPFS _(not pinned yet)_ - **In-vitro aggregation kinetics panel** · weight 0.3 · IPFS _(not pinned yet)_ - **Proteostasis-network perturbation screen** · weight 0.2 · IPFS _(not pinned yet)_ **Staked PWM:** 5000.0 --- ## File Mapping This bundle consists of: `L1-905.md`, `L1-905.json`. | File | Role | How to regenerate | |------|------|-------------------| | `L1-905.md` | Source of truth — edit this | Human or LLM | | `L1-905.json` | Structured metadata for the registry | LLM regenerates from the sections above | **Prompt for your LLM after editing this Markdown:** > Read the attached Markdown. Regenerate the sibling `.json` so every field matches. > Preserve the schema documented in the rows above. > Output each file in its own fenced code block tagged with the filename. > Output only the JSON object. _This Markdown was auto-synthesized from the catalog row for `L1-905`._ _Edit it, regenerate the JSON, and submit at [/submit](/submit) to claim the artifact._

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Layer template

⬇ principle.md ⬇ principle.json

Fork L1-905

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Prompt — copy into your LLM

You are helping me submit a MODIFICATION of L1-905 (Proteostasis Collapse & Neurodegeneration) to the PWM Protocol — a Principle (L1) artifact.

I will paste a Markdown template (or the current L1-905.md).
1. Rewrite the Markdown so the science is correct and clearly explained for my change.
2. Regenerate the sibling L1-905.json so EVERY field matches the Markdown.
3. Keep the schema in the "File Mapping" footer at the bottom of the MD.
4. Keep the parent reference unchanged unless I ask otherwise.
Rules: the Markdown is the source of truth; use SI units; do NOT invent benchmark scores.
Output each file in its own fenced code block tagged with the filename.

Here is my template:
[PASTE THE .md HERE]

Proteostasis Collapse & Neurodegeneration

Introduction

Digital Twins

Contents

Proteostasis Collapse & Neurodegeneration · P = (E, G, W, C)

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