L2 📐 L2-003 ⊙ Testnet

CASSI Mismatch-Only Spec (KAIST benchmark family)

⬇ Download bundle 🚀 Submit to mainnet — earn 10% royalty

🎁 Contribute & earn PWM

Improve L2-003 — submit with or without uploading. Accepted submissions earn the 1/16 modify share of A(t).

✨ Submit without uploading free check · 1×

One click — no files, no typing. We submit a check of L2-003 for you; it goes through review and earns the 1/16 share once. One free no-upload Digital Twin per account.

You'll be asked to log in first — then it's one click, no files.

⬆ Or submit by uploading your files

Upload your .md + .json as a modification of L2-003. Unlimited.

🛠 Helper: build your files in ChatGPT / Gemini / Claude

Layer template

⬇ spec.md ⬇ spec.json

Fork L2-003

⬇ L2-003.md ⬇ L2-003.json

Prompt — copy into your LLM

You are helping me submit a MODIFICATION of L2-003 (CASSI Mismatch-Only Spec (KAIST benchmark family)) to the PWM Protocol — a Digital Twin (L2) artifact.

I will paste a Markdown template (or the current L2-003.md).
1. Rewrite the Markdown so the science is correct and clearly explained for my change.
2. Regenerate the sibling L2-003.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]

⚙ Forward Model

derived from principle L1-003

Experimental setup — Figure 1 — CASSI fundus camera: (a) optical layout, (b) image-formation model, (c) integrated system photo, (d) coded mask.
Source: Coded aperture snapshot spectral imaging fundus camera, Scientific Reports (2023), PMC10197728 CC BY 4.0

y(x,y) = sum_lambda C(x, y + a*lambda) * f(x, y + a*lambda, lambda) + n(x,y)

world state x (3D spectral)

→

Spectral broadcast B_λ

→

Binary coded aperture M ⊙

→

Spectral dispersion (shear) S_λ

→

Spectral integration Σ_λ

→

observation y (photon detector)

Noise: Poisson shot noise from quantum-limited detection

Markdown — human-readable source of truth

⚙ auto-generated

⬇ L2-003.md

# 📐 L2 Digital Twin — CASSI Mismatch-Only Spec (KAIST benchmark family) **ID:** `L2-003` · **Status:** ⊙ Testnet (genesis catalog) **Parents:** ⬆ Principle [`L1-003`](/artifact/l1/L1-003) > **🎯 Tolerance (ε):** expression > **⚖ Difficulty score:** None · **Delta tier:** 5 > **⛓ On-chain block:** 41421558 --- ## 1. Domain Ω **Type:** `range` | Parameter | Unit | Range | |---|---|---| | H | px | 64 – 2048 | | W | px | 64 – 2048 | | N bands | bands | 8 – 128 | | Mask dx | — | 0.0 – 1.0 | | Mask dy | — | 0.0 – 1.0 | | Mask theta | — | 0.0 – 0.15 | | Noise level | — | 0.001 – 0.1 | | Mask density | — | 0.3 – 0.7 | | Disp a1 error | — | 0.0 – 0.05 | | Disp alpha error | — | 0.0 – 0.3 | ## 2. Tolerance (ε) **Type:** `fn` ``` 25.0 + 2.0 * log2(H / 64) + 1.5 * log10(photon_count / 50) ``` ## 3. Difficulty | Property | Value | |---|---| | Delta tier | 5 | ## 4. Fingerprint `641beec700ce78fb5cf4061eb9f20727f2e7785c21f0c70d687daec0f4d0bfb3` ## 5. On-chain Registration - **Chain hash:** `0x471e7017692cde623cee2741e751413cfb4752457429f128c0004174fea86896` - **Chain tx hash:** `0x46f128a3d46613f71a7fbf258669cb7b2ac94ded0a36a3207abc0a634f1e1f40` - **Chain block:** `41421558` --- ## File Mapping This bundle consists of: `L2-003.md`, `L2-003.json`. | File | Role | How to regenerate | |------|------|-------------------| | `L2-003.md` | Source of truth — edit this | Human or LLM | | `L2-003.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 `L2-003`._ _Edit it, regenerate the JSON, and submit at [/submit](/submit) to claim the artifact._

💬

Ask the PWM AI agent AI

Ask about this CASSI Mismatch-Only Spec (KAIST benchmark family) — or how to improve it & earn PWM

Free to search; log in to chat with the agent & earn PWM. How it works ↗

⌥ Hierarchy

Upstream lineage and downstream children

↑ Upstream

L1 L1-003 Coded Aperture Snapshot Spectral Imaging (CASSI)

↓ L3 Benchmark 1 child ▾

L3-003-T1 T1_nominal

⬇ Download bundle

2 files · click to download

📋 JSON metadata

{
  "artifact_id": "L2-003",
  "chain_block": 41421558,
  "chain_hash": "0x471e7017692cde623cee2741e751413cfb4752457429f128c0004174fea86896",
  "chain_tx_hash": "0x46f128a3d46613f71a7fbf258669cb7b2ac94ded0a36a3207abc0a634f1e1f40",
  "delta_tier": 5,
  "difficulty_score": null,
  "epsilon": {
    "expression": "25.0 + 2.0 * log2(H / 64) + 1.5 * log10(photon_count / 50)",
    "type": "fn"
  },
  "fingerprint": "641beec700ce78fb5cf4061eb9f20727f2e7785c21f0c70d687daec0f4d0bfb3",
  "layer": "L2",
  "omega": {
    "dims": {
      "H": [
        64,
        2048
      ],
      "N_bands": [
        8,
        128
      ],
      "W": [
        64,
        2048
      ],
      "disp_a1_error": [
        0.0,
        0.05
      ],
      "disp_alpha_error": [
        0.0,
        0.3
      ],
      "mask_density": [
        0.3,
        0.7
      ],
      "mask_dx": [
        0.0,
        1.0
      ],
      "mask_dy": [
        0.0,
        1.0
      ],
      "mask_theta": [
        0.0,
        0.15
      ],
      "noise_level": [
        0.001,
        0.1
      ]
    },
    "type": "range"
  },
  "parent_l1": "L1-003",
  "status": "testnet",
  "submitted_by": "founder_vetted_genesis",
  "title": "CASSI Mismatch-Only Spec (KAIST benchmark family)"
}

🎁

Earn PWM by promoting this to mainnet

• PWM emission on accept — your share of A(t) (1/16 modify · 3/16 new)
• 10% upstream royalty on every downstream L4 mining event, forever
• Your wallet is enrolled the moment the founder accepts

🚀 Go to submit ↑

How: use the “Contribute & earn PWM” panel at the top — either Submit without uploading (one click) or upload your files. Then the review runs and, on accept, it’s promoted to mainnet.