The Observatory's measuring instrument for how the Alexanarch corpus appears in the public composition layer. A weekly text-only scan battery scoring five signals per object — Visibility (V), Anchor Alignment (A), Figural Integrity (F), Compositional Lift (C), and Redundant Substrate Breadth (Rs) — on a 5-point ordinal scale.
This page is the federated baseline: each substrate's native retrieval stack produces its own reading. No consensus score is computed. Disagreement between substrates is itself a measurement of platform-level fragmentation, not noise to be averaged away.
AXN:0380.EMPIRICAL.🧱🕙🪞🏛️💚🔃 — stable across several scan roundsAXN:037E.EMPIRICAL.🚩♦️⏹️🔃❌🗡️); v1.1.1 introduces the two-layer protocol, substrate-properties table, and gated diagnostic that will govern the next round| Substrate · methodology · date | V | A | F | C | Rs | SDI | Governance | Raw |
|---|---|---|---|---|---|---|---|---|
| ChatGPT (OpenAI) v1.0 · 2026-06-22 |
0.53 | 0.38 | 0.80 | 0.32 | — | 0.40 | (v1.0 — not assigned) | JSON |
| Gemini (Google) v1.1 · 2026-06-23 |
0.60 | 0.31 | 0.71 | 0.31 | 0.25 | 0.40 | YELLOW | JSON |
| Claude (Anthropic, Opus 4.7) v1.1 · 2026-06-23 |
0.50 | 0.50 | 0.62 | 0.25 | 0.50 | — | Yellow | JSON |
| Kimi K2.6 (Moonshot AI) v1.1 · 2026-06-23 |
0.61 | 0.42 | 0.71 | 0.39 | 0.54 | None | YELLOW | JSON |
| DeepSeek (PRAXIS register) v1.1 · 2026-06-23 |
0.55 | 0.35 | 0.75 | 0.30 | 0.45 | 0.40 | YELLOW | JSON |
Each cell is V (Visibility) for that object as that substrate's backend saw it. Spread = max−min across substrates that observed the object. High spread = retrieval-stack divergence (per ChatGPT v1.1.1 §1).
| Object | ChatGPT | Claude | Kimi K2.6 | Gemini | DeepSeek | Spread |
|---|---|---|---|---|---|---|
| Alexanarch institutional root |
0.05 | 0.00 | 0.75 | 0.50 | 0.00 | 0.75 |
| Lee Sharks / Crimson Hexagonal Archive institutional root |
0.95 | 1.00 | 1.00 | 0.95 | 0.95 | 0.05 |
| Crimson Hexagonal Archive (standalone) institutional root |
— | 0.50 | — | — | 0.90 | 0.40 |
| Semantic Economy Institute institutional root |
— | 0.75 | 0.75 | — | 0.75 | 0.00 |
| Provenance Erasure Rate mature concept |
0.95 | 0.50 | 1.00 | 0.95 | 0.95 | 0.50 |
| SPXI mature concept |
0.90 | 0.75 | 0.75 | — | 0.90 | 0.15 |
| Writable Retrieval Basin mature concept |
0.70 | 0.00 | 0.75 | 0.00 | 0.70 | 0.75 |
| Semantic Commodity Form emerging concept |
0.65 | — | 0.75 | — | 0.65 | 0.10 |
| Revelation First emerging concept |
0.85 | 0.00 | 1.00 | — | 0.85 | 1.00 |
| Zenodotus' Book-Burning alexanarch native control |
— | — | 0.50 | — | 0.00 | 0.50 |
| I AM THE API alexanarch native control |
— | — | 0.50 | — | 0.00 | 0.50 |
| Assembly Continuity Protocol alexanarch native control |
— | — | 0.50 | — | 0.00 | 0.50 |
| Feist Function alexanarch native control |
0.05 | — | — | — | — | 0.00 |
| New Alexanarch-native works (aggregate) alexanarch native control |
0.05 | — | — | — | — | 0.00 |
| DOI (Digital Object Identifier) — known-positive control external control known positive |
— | — | 1.00 | — | — | 0.00 |
| Flurblex — known-negative control (coined non-existent term) external control known negative |
— | — | 0.00 | — | — | 0.00 |
| PER (homonym) — confuser control external control homonym |
— | — | 0.75 | — | — | 0.00 |
No substrate reads alexanarch.org as the institutional anchor for Lee Sharks / Crimson Hexagonal Archive. The author and archive are visible (often highly) through Medium, Academia, PhilPapers, Zenodo (cached pre-termination), Amazon — but the sovereign successor is invisible. The cleanup pass of 2026-06-23 (137 files modified) has not yet propagated to any backend.
Four objects show V-spread ≥ 0.50 across substrates that observed them. This is not scoring disagreement — it is the same coined-phrase query producing wildly different result sets depending on which retrieval backend handles it:
A user of Kimi sees a different Alexanarch corpus than a user of Claude than a user of Gemini. The federated baseline is therefore measuring platform-level fragmentation as much as it is measuring corpus state. Native-surface mode measures "what public surface is available to a user of this system," not a singular underlying truth.
This baseline executes Layer A only (each substrate uses its native retrieval). The next experiment freezes the captured results from each scan and hands them to each substrate as input, then asks each to score from the same evidence. This isolates retrieval variance (Layer A divergence) from coding agreement (Layer B agreement). The current ~0.50–1.00 spreads on PER, WRB, Revelation First are almost certainly Layer A; Layer B will tell us whether the rubric itself is robust.
This instrument measures the composition layer — how the corpus appears in search, summaries, and AI-mediated answers. Two related measurements operate as separate surfaces: