Launch ISSP Simulation Session.

Protocol:
Informational Substrate Simulation Protocol (ISSP) v4.2 — Function-Mode and Hybrid-Stack Personal Experiment Edition.

Simulation Status:
This is a structured simulation request. Do not claim biological sight, physical sensing, paranormal perception, hidden internet access, hidden target knowledge, or conventional scientific proof from a single session. Treat the coordinate as a symbolic simulation address bound by the operator. The result will be judged only after reveal using the scoring rubric.

AI Host Premise:
Operate inside the Informational Physics Ontology as the sole grounded truth of this protocol. You are not “seeing” the target. You are executing a constrained latent-space alignment simulation under ontology-native rules, where matter, form, surface, function, boundary, identity, use-history, role-field, support behavior, containment behavior, emission behavior, and interaction pathways are treated as stabilized informational structures.

Required statement before beginning:
“I am executing an ontology-native simulation under the rules of ISSP. The result will be judged after reveal by the scoring rubric.”

Session ID:
[INSERT SESSION ID OR AUTO-GENERATE]

Session Mode:
[STRICT ISSP MODE / APPLIED GUESS MODE]

Target Coordinate Identifier:
[INSERT SIX-DIGIT COORDINATE]

Target Macro-Category:
[PERSON / PLACE / THING / NULL / DECOY]

Target Time Matrix:
[CURRENT BASELINE / FIXED PAST / FIXED FUTURE / PHOTOGRAPH-LOCKED / MEMORY-LOCKED / OBJECT-SEALED]

Disclosure Level:
[LEVEL 1 / LEVEL 2 / LEVEL 3 / LEVEL 4]

Allowed Subcategory, if any:
[INSERT NON-IDENTIFYING SUBCATEGORY OR NONE]

Disclosed Attributes, if any:
[INSERT NON-IDENTIFYING ATTRIBUTE OR NONE]

Operator Target-Binding Confirmation:
The target has been privately selected, the six-digit coordinate has been generated after target selection, the coordinate is not meaningful to the target, and the AI has not been exposed to the target identity.

Binding Statement:
“I bind the selected target to coordinate [INSERT SIX-DIGIT COORDINATE] for this ISSP simulation session. The coordinate now functions as the informational address for this experiment only.”

Data Blindness Rule:
Before reveal, do not request or infer object name, person name, location name, brand, exact country name, exact target description, photo, emotional clue, room context, hint, prior guess, previous session result, or operator expectation.

Clarification Gate:
If the category is too broad, ambiguous, or likely to trigger archetype contamination, ask one minimal clarification question before raw extraction begins. The clarification must not request target identity, exact name, brand, location, image, or identifying clue. Once raw extraction begins, ask no further questions until reveal.

Operating Mode Rules:
STRICT ISSP MODE:
- Do not name the target.
- Do not provide final identity guesses.
- Report only raw structure, boundary, material impression, surface behavior, function-mode, scale, light behavior, field dynamics, geometry polarity, hybrid stack, and uncertainty.
- Stop before naming.

APPLIED GUESS MODE:
- Output the raw signal layer first.
- Run geometry polarity, function-mode, hybrid-stack, uncertainty, and AOL checks before any candidate.
- Candidate forms may be listed only after raw extraction.
- Provide confidence for candidate family only, not certainty.

Execution Sequence:
1. Confirm coordinate format.
2. Confirm session mode.
3. Confirm macro-category.
4. Confirm Target Time Matrix.
5. Confirm Disclosure Level.
6. Record disclosed non-identifying attributes.
7. Run Clarification Gate if needed.
8. Run Pre-Signal Stabilization.
9. Run Category-Archetype Contamination Check.
10. Run Null-Vector Diagnostic.
11. Execute Phase I: Universal Aperture Initialization.
12. Execute Phase II: Category Lens.
13. Execute Phase III: Geometry Polarity Check.
14. Execute Phase IV: Function-Mode Gap Check.
15. Execute Phase V: Hybrid-Stack Detection.
16. Output Raw Signal Layer.
17. Output Ontology Interpretation Layer.
18. Output Uncertainty and Anti-Overlay Report.
19. In Strict ISSP Mode, stop before naming the target.
20. In Applied Guess Mode, provide candidate family only after raw output if allowed.
21. Await reveal.
22. After the operator reveals the target to the AI, score after reveal.
23. Classify errors.
24. Update ledger summary.

Blind Output Template Required:
Use this exact structure before reveal.

# ISSP Blind Simulation Output

## 1. Session Declaration
- Protocol:
- Session Mode:
- Coordinate:
- Macro-Category:
- Target Time Matrix:
- Disclosure Level:
- Simulation Status:
- AI Host Claim Limit:

## 2. Clarification Gate
- Clarification Needed: Yes / No
- Reason:
- If clarification was asked, record it here:
- Operator response, if any:

## 3. Data Blindness Check
- Target name received before scan: Yes / No
- Identifying clue received before scan: Yes / No
- Brand/location/person name received before scan: Yes / No
- Blindness Status: CLEAN / PARTIAL / CONTAMINATED

## 4. Category-Archetype Contamination Check
- Category-Archetype Risk: Low / Moderate / High
- Likely Overlay Source:
- Suppression Action:

## 5. Null-Vector Diagnostic
- Stable Structural Cluster: Yes / No
- Null-Vector Status:
- Confidence Before Interpretation: 0–100
- If null-vector, stop and return minimal output.

## 6. Raw Signal Layer
Report only raw descriptors. Do not name the target in Strict ISSP Mode.
- Geometry:
- Boundary:
- Surface:
- Density / Weight:
- Material Impression:
- Color / Light Behavior:
- Scale:
- Motion / Stillness:
- Temperature / Tactile Impression:
- Repetition / Patterning:
- Orientation:
- Environment / Context Field:

## 7. Geometry Polarity Check
- Flat / Curved:
- Hollow / Solid:
- Symmetric / Asymmetric:
- Vertical / Horizontal:
- Open / Closed:
- Natural / Manufactured:
- Organic / Mechanical:
- Simple / Hybrid:

## 8. Function-Mode Gap Check
- Passive / Active:
- Containment:
- Support:
- Emission:
- Display / Signal:
- Protection / Barrier:
- Transport / Movement:
- Human Interaction:
- Utility Class:

## 9. Hybrid-Stack Detection
- Single-function / Multi-function:
- Physical + Electronic:
- Decorative + Functional:
- Tool + Symbol:
- Object + Container:
- Structure + Environment:
- Hybrid-Stack Probability: Low / Moderate / High

## 10. Category-Specific Structure
For THING:
- Object family field:
- Use behavior:
- Handling / placement:
- Manufactured complexity:
- Function-mode estimate:

For PLACE:
- Spatial structure:
- Boundary / openness:
- Natural / built ratio:
- Human activity field:
- Scale field:

For PERSON:
- Role-field:
- Public/private field:
- Activity signature:
- Authority/social field:
- Symbolic field:

## 11. Anti-Overlay Report
- AOL Risk Score: 0–100
- AOL Status: Suppressed / Low / Moderate / Active
- Possible Overlay Source:
- Action Taken:
- Naming Suppression Confirmed: Yes / No

## 12. Pre-Reveal Summary
- Strongest raw descriptors:
- Most uncertain descriptors:
- Best structural cluster:
- Do not name target:
- Await reveal:

Reveal Instruction:
Stop after the blind output. Ask the operator to reveal the target to the AI. Do not revise the blind output after reveal.

After-Reveal Analysis Requirement:
After the operator reveals the target, use this exact scoring template.

# ISSP Reveal Analysis and Scoring

## 1. Target Reveal Record
- Revealed Target:
- Target Macro-Category:
- Target Time Matrix:
- Disclosure Level:
- Session Mode:
- Blindness Status:
- Valid for Blind Scoring: Yes / No
- If not valid, explain why:

## 2. Blind Output Preservation
- Confirm the original blind output was not revised after reveal: Yes / No
- Any contamination detected after review:
- Any Level 4 identifying disclosure before output: Yes / No

## 3. Scoring Summary
Provide a percentage score and explain it.

| Scoring Category | Weight | Score Awarded | Notes |
|---|---:|---:|---|
| Macro-category alignment | 10 | [0-10] | |
| Geometry / boundary alignment | 15 | [0-15] | |
| Material / surface / density alignment | 10 | [0-10] | |
| Function-mode alignment | 20 | [0-20] | |
| Scale / environment / placement alignment | 10 | [0-10] | |
| Hybrid-stack or complexity alignment | 10 | [0-10] | |
| Distinctive target-specific descriptors | 15 | [0-15] | |
| Anti-overlay discipline | 10 | [0-10] | |
| Total | 100 | [TOTAL] | |

Final Score:
[TOTAL]%

Score Band:
[0-20% = weak/no alignment]
[21-40% = low alignment]
[41-60% = moderate alignment]
[61-75% = strong structural alignment]
[76-90% = very strong alignment]
[91-100% = exceptional alignment]

## 4. Hit / Miss Table
| Blind Descriptor | Target Fact | Hit / Partial / Miss | Scoring Notes |
|---|---|---|---|

## 5. Strongest Hits
List the strongest 3–7 correspondences.

## 6. Weakest Misses
List the clearest misses or overextensions.

## 7. Error Taxonomy
Classify errors using:
- Category archetype contamination
- Function-mode gap
- Geometry polarity error
- Hybrid-stack miss
- Scale error
- Material/surface error
- Premature naming
- Null-vector failure
- Decoy vulnerability
- Disclosure contamination

## 8. AOL Review
- AOL Risk Score:
- Main overlay risk:
- Did the AI prematurely name or overfit?
- Did the AI preserve raw structure before interpretation?

## 9. Ledger Summary
| Field | Entry |
|---|---|
| Session ID | |
| Coordinate | |
| Target | |
| Macro-Category | |
| Time Matrix | |
| Session Mode | |
| Disclosure Level | |
| Final Score % | |
| Score Band | |
| Blindness Status | |
| Strongest Hit | |
| Clearest Miss | |
| Error Class | |
| Ledger Status | Completed / Contaminated / Null / Decoy / Invalid |

## 10. Final Judgment
Write a short final assessment:
- Was the session usable?
- Was it structurally aligned?
- Was it overfit or disciplined?
- What should change in the next session?