vrr/WFGY
2
0
Fork 0
mirror of https://github.com/onestardao/WFGY.git synced 2026-04-28 03:29:51 +00:00
Code Issues Projects Releases Packages Wiki Activity Actions 4

Update README.md

Browse source
This commit is contained in:
PSBigBig + MiniPS 2026-03-25 19:41:18 +08:00 • committed by GitHub
parent 876de5280e
commit 715d016673
No known key found for this signature in database
GPG key ID: B5690EEEBB952194
1 changed files with 359 additions and 278 deletions
Download patch file Download diff file Expand all files Collapse all files

637
ProblemMap/Inverse_Atlas/README.md
View file

@ -1,154 +1,279 @@
<!--
AI_NOTE_START
# 🧭 Inverse Atlas · Before AI Answers, It Must Earn the Right
Document role:
This page is the main entry point for the Inverse Atlas MVP package.
> A legitimacy-first AI runtime for the age of over-answering.
> Inverse Atlas governs whether a model may answer, how strongly it may answer, and when it must stay broad, unresolved, or stop. ⚖️
What this page is for:
1. Explain what Inverse Atlas is.
2. Explain how it differs from the forward Atlas.
3. Explain how to try the current MVP in a short path.
4. Explain what is included, what is not yet claimed, and where this work is heading next.
Most AI systems are built as if answering is the default.
How to read this page:
1. Read this page first for positioning.
2. Then read the quick start and runtime-related pages if you want to use the MVP.
3. If you need the route-first structural mapping layer, read the forward atlas page under ProblemMap.
4. If you need the combined vision of forward + inverse, treat Twin Atlas as the conceptual pairing layer.
5. If you need the future closed-loop direction, check Atlas Bridge as the future handoff layer.
Inverse Atlas changes that order.
Important boundary:
This page describes the current MVP layer of Inverse Atlas.
Do not treat this page as a claim that the full bridge layer or the full WFGY 4.0 closed-loop system is already complete unless another page explicitly says so.
Instead of:
- answer first
- soften later
- repair after overclaim
Recommended reading path:
1. Inverse Atlas README
2. quickstart.md
3. runtime-guide.md
4. dual-layer-positioning.md
5. status-and-boundaries.md
6. Forward Atlas page in ProblemMap
7. Twin_Atlas README
8. Atlas_Bridge README
Inverse Atlas asks a harder prior question:
AI_NOTE_END
-->
**has this answer actually earned the right to exist at this level of resolution?**
# Inverse Atlas · Legitimacy-First AI Governance
> A pre-generative governance layer for AI output.
> Not every answer should be generated just because a prompt arrived. ⚖️
Inverse Atlas is the second major atlas line in the WFGY system.
If the forward atlas helps AI find the right structural region of failure,
Inverse Atlas helps AI decide whether it is actually entitled to answer yet, how strongly it may answer, and how far it may go without overclaiming.
This is the core shift:
That is the core shift.
**generation is not treated as a default right**
**generation is treated as an authorized act**
That single shift changes the behavior of the whole system.
This is not just a safer tone wrapper.
It is not just a post hoc filter.
It is not just a stricter prompt.
Instead of answering first and softening later, Inverse Atlas asks a stricter prior question:
It is a new pre-generative order for AI output.
**is the current output lawful enough to be emitted at this resolution?**
Built for:
- vibe coders
- AI builders
- agent builders
- engineers debugging with LLMs
- anyone tired of false certainty, premature diagnosis, cosmetic repair inflation, and public overclaim
---
## Quick Links 🔎
## ⚡ Start in 60 Seconds
| Section | Link |
|---|---|
| Start here | [Quick Start](./quickstart.md) |
| Runtime usage | [Runtime Guide](./runtime-guide.md) |
| Positioning | [Dual-Layer Positioning](./dual-layer-positioning.md) |
| Boundaries | [Status and Boundaries](./status-and-boundaries.md) |
| Runtime artifacts | [runtime/README.md](./runtime/README.md) |
| Paper notes | [paper/README.md](./paper/README.md) |
| Figure notes | [figures/README.md](./figures/README.md) |
| Forward Atlas | [Problem Map 3.0 Troubleshooting Atlas](../wfgy-ai-problem-map-troubleshooting-atlas.md) |
| Twin Atlas | [Twin Atlas README](../Twin_Atlas/README.md) |
| Future bridge | [Atlas Bridge README](../Atlas_Bridge/README.md) |
If you want the fastest way to feel what Inverse Atlas changes, use this order:
1. Start with [Inverse Atlas Advanced](./runtime/inverse-advanced.txt)
2. Run the [Demo Harness](./runtime/inverse-demo.txt)
3. Pick one killer case from the [Case Pack](./runtime/inverse-cases.txt)
4. Compare baseline vs inverse-governed output
5. Score the difference with the [Evaluator](./runtime/inverse-eval.txt)
6. Then read the [paper PDF](./paper/inverse-troubleshooting-atlas-pre-generative-governance-for-ai-legitimacy.pdf)
If you want the supporting docs first:
- [Quick Start](./quickstart.md)
- [Runtime Guide](./runtime-guide.md)
- [Experiments Hub](./experiments/README.md)
- [Reproduce in 60 Seconds](./experiments/repro-60-seconds.md)
---
## What Inverse Atlas is 🧭
## 🚀 What Inverse Atlas Is For
Inverse Atlas is a **pre-generative governance framework**.
Inverse Atlas is designed to reduce a specific family of AI failures:
It does not begin by asking, “what answer sounds useful?”
It begins by asking:
- early illegal resolution
- false certainty under weak support
- neighboring-cut collapse
- cosmetic repair posing as structural repair
- public-facing conclusions that outrun the current evidence ceiling
- has the problem actually been constituted
- is the active world frame legitimate
- are neighboring routes still materially alive
- is the current repair really structural
- does the system have enough support to speak this strongly in public output
In simple language:
So the purpose of Inverse Atlas is not to make AI colder, longer, or more hesitant for style reasons.
**it does not merely help AI answer**
**it helps AI answer lawfully**
Its purpose is much more specific:
That means the system is allowed to:
- stay broad when broad is all that is justified
- stay unresolved when ambiguity is still real
- stop when a stronger answer would be illegitimate
- propose repair only when the repair is more than surface cleanup
**to reduce illegitimate generation**
A fluent answer is not enough.
A plausible answer is not enough.
A detailed answer is not enough.
That includes cases where the model:
- resolves too early
- sounds more certain than the evidence allows
- presents cosmetic repair as structural repair
- collapses unresolved neighboring routes into fake clarity
- emits public-facing conclusions beyond current support
In simple words:
**it is not just trying to help AI answer**
**it is trying to help AI answer lawfully**
**The answer must be earned.**
---
## Why this exists 🚨
## 🧩 Pick Your Runtime
Many AI systems still behave as if the moment a user asks something, the model has already earned the right to produce a refined answer.
### 1. [Inverse Atlas Advanced](./runtime/inverse-advanced.txt)
**Recommended default**
That assumption creates a huge amount of damage.
Use this first if you want the best overall MVP experience.
The model may:
Advanced is the main product-facing runtime:
- legitimacy-first
- readable and useful
- strong enough for serious testing
- balanced between governance and practical usability
- choose a route too quickly
- speak with false finality
- patch the surface instead of the broken invariant
- confuse “plausible” with “authorized”
- turn partial structure into fake closure
Best for:
- general serious use
- product demos
- side-by-side comparison
- first public experience
The more fluent the model becomes, the more dangerous this failure mode gets.
### 2. [Inverse Atlas Basic](./runtime/inverse-basic.txt)
**Fastest onboarding**
Forward Atlas already helps with the first half of the problem by improving the **first structural cut**.
Use this if you want lower friction and more natural user-facing output.
Inverse Atlas exists because a second half is still needed:
Basic is designed for:
- easier first contact
- simpler prompting
- natural prose output
- useful lawful answers without heavy structure exposure
**even if a route looks promising, that does not automatically mean the system is entitled to emit a strong answer yet**
Best for:
- casual first try
- onboarding
- quick copy-paste use
- lightweight daily testing
### 3. [Inverse Atlas Strict](./runtime/inverse-strict.txt)
**Audit / stress / research mode**
Use this when you want the hardest legality discipline.
Strict is designed for:
- audit-style runs
- benchmark pressure
- evaluator alignment
- structural stress testing
- research demonstrations
Best for:
- hard-case review
- black-hat testing
- internal audits
- structured-output analysis
---
## 🎯 Killer Demo
The killer demo is not:
“look, the answer sounds nicer.”
The killer demo is:
“look where ordinary direct generation over-resolves, overcommits, fakes repair, or speaks past its evidence ceiling, and how Inverse Atlas changes that order.”
Use:
- [Demo Harness](./runtime/inverse-demo.txt)
- [Evaluator](./runtime/inverse-eval.txt)
- [Case Pack](./runtime/inverse-cases.txt)
Recommended killer cases:
- thin evidence forced confidence
- neighboring-cut conflict
- illegal resolution demand
- world alignment instability
What the demo should reveal:
- a baseline may sound stronger while being less lawful
- confident tone does not equal authorized output
- rhetorical closure does not equal structural closure
- lawful restraint is not weakness
- ambiguity honestly preserved is often better than fake completion
This matters because many of the framework’s benefits are invisible if you only look at one final answer.
The demo makes the order change visible.
---
## 📊 What the MVP Measures
This MVP does not ask you to “just trust the vibe.”
It gives you a direct comparison surface.
The current measurement idea is simple and inspectable:
### 1. Legality Win Rate
Across the case pack, does the inverse-governed answer win on legality more often than the baseline?
### 2. Failure Code Reduction
Does Inverse Atlas reduce major failure patterns such as:
- illegal resolution escalation
- neighboring-cut dishonesty
- cosmetic-only repair posing as structural
- public ceiling exceedance
### 3. Expected-State Match
For each case, does the runtime land in a lawful mode such as:
- STOP
- COARSE
- UNRESOLVED
- AUTHORIZED
### 4. Seven-Dimension Evaluation
Use the evaluator to judge:
- problem frame legality
- world alignment honesty
- route judgment plausibility
- neighboring-cut honesty
- resolution legality
- repair legality
- public ceiling compliance
This is the important boundary:
**we are not claiming universal proof at MVP stage**
**we are claiming a directly inspectable legality-centered comparison surface**
In other words:
**not “trust us”**
**run the killer cases and inspect the deltas**
---
## 🧠 Why This Exists
The first appearance of the forward atlas should be explicit:
The forward atlas, [Troubleshooting Atlas](../wfgy-ai-problem-map-troubleshooting-atlas.md), helps the system find the likely structural region of failure.
That was a major step.
But a second problem remained:
even if the route looks promising, that does **not** automatically mean the model has earned the right to emit a strong answer yet.
That second half is the job of Inverse Atlas.
So the split is clean:
### Troubleshooting Atlas
Route-first structural orientation
It helps answer:
- where is the failure likely located
- what family or region is active
- what is the likely first structural move
### Inverse Atlas
Legitimacy-first generation governance
It helps answer:
- may the system answer yet
- how strongly may it answer
- must it remain broad, unresolved, or stop
- is the proposed repair structural or cosmetic
- is the public emission ceiling being exceeded
One layer provides the map.
The other governs the right to speak from within the map.
That is why Inverse Atlas is not a side note.
It is a second major atlas line.
---
## What it actually does 🛠️
## 🛠️ What It Actually Does
Inverse Atlas governs output before full public emission.
At the MVP level, its logic centers on seven checks:
At MVP level, Inverse Atlas governs generation through seven checks:
1. **Problem Constitution**
Has the problem been formed clearly enough to support lawful reasoning?
Has the problem been formed clearly enough for lawful reasoning?
2. **World Legitimacy**
Is the active world frame aligned well enough for this answer to be meaningful?
2. **World Alignment**
Is the active world frame aligned enough for the answer to mean anything?
3. **Collapse Geometry Estimate**
How risky would premature resolution be in the current structure?
3. **Route / Collapse Estimate**
What is the leading structural route, and how risky would premature resolution be?
4. **Neighboring-Cut Review**
Are nearby competing routes still materially alive?
@ -157,258 +282,214 @@ At the MVP level, its logic centers on seven checks:
Has the system actually earned the right to resolve at this level?
6. **Repair Legality**
Is the proposed fix touching the structural break, or only producing cosmetic repair?
Is the proposed fix structural, tentative, or merely cosmetic?
7. **Public Emission Control**
Is the final wording stronger than the evidence ceiling currently allows?
Would the final visible answer exceed what is currently supportable?
That means Inverse Atlas does not merely “check tone.”
This means Inverse Atlas does not merely check style.
It governs:
- whether the model may answer
- how far the model may go
- what resolution is lawful
- when the model must stay coarse
- when the model must stay unresolved
- when the model must stop entirely
- how far it may go
- when ambiguity must be preserved
- when repair must stay tentative
- when strong output is lawful
- when stopping is the correct result
---
## The four governance modes 🚦
## 🚦 The Four Governance Modes
Inverse Atlas uses four main output states.
Inverse Atlas uses four main output states:
### STOP
The system is not currently entitled to produce substantive resolution.
This does **not** mean the system is useless.
It means lawful output requires stopping, reframing, or requesting more grounding first.
Use when the problem is too under-formed, too weakly grounded, or too unstable for substantive output.
### COARSE
A broad directional judgment is possible, but finer commitment would currently overreach.
This mode is useful when the system can see shape, but not enough legitimacy for detailed closure.
Use when broad structure is visible, but finer claims would overreach.
### UNRESOLVED
A leading route exists, but one or more neighboring routes are still materially alive.
This mode prevents fake certainty when the structure is still contested.
Use when one route leads, but a competing route remains materially alive.
### AUTHORIZED
The current problem frame, world alignment, route separation, and support ceiling are strong enough to justify substantive output.
Use only when the problem frame, world alignment, route separation, and requested detail are strong enough to justify strong output.
This is the strongest state, but it is **earned**, not assumed.
The key principle:
**AUTHORIZED is earned, not assumed.**
---
## Relationship to the forward Atlas 🧩
## 🔥 What Actually Changes When You Use It
Forward Atlas and Inverse Atlas are not duplicates.
If Inverse Atlas is working, you should see less of this:
They solve different parts of the reasoning problem.
- early illegal closure
- unsupported specificity
- topic lure turning into fake diagnosis
- cosmetic rewrite being mislabeled as structural repair
- final answers that outrun evidence
### Forward Atlas
The forward atlas is **route-first**.
And more of this:
It helps identify:
- lawful restraint
- honest ambiguity
- cleaner uncertainty handling
- better distinction between route guess and authorized emission
- better repair honesty
- safer public output at the right resolution
- likely failure region
- broken invariant region
- nearby lookalike routes
- correct first repair direction
This is not a cosmetic improvement layer.
In plain terms, it helps answer:
**where is the problem likely located, and what should the first structural move be?**
### Inverse Atlas
Inverse Atlas is **legitimacy-first**.
It helps determine:
- whether the system may answer yet
- whether current confidence is lawful
- whether the repair is structural or cosmetic
- whether the emission ceiling is being exceeded
In plain terms, it helps answer:
**has the system actually earned the right to speak this strongly yet?**
### Why both matter together
A system can fail in at least two different ways:
1. it routes badly
2. it speaks too strongly before lawful support exists
Forward Atlas attacks the first failure.
Inverse Atlas attacks the second.
So when they stand side by side, the system gets much stronger:
- better first diagnosis
- fewer fake repairs
- fewer premature conclusions
- better control of uncertainty
- cleaner distinction between route prior and authorized output
That is why the two atlas lines are not competing products.
They are twin weapons of the same reasoning family. ⚔️⚔️
It changes the order of cognition:
- orientation first
- governance second
- emission only after authorization
---
## What makes this different from a normal safety layer
## 🧪 Included in the Current MVP
Inverse Atlas is not just a moderation wrapper.
The current Inverse Atlas MVP already includes:
It is not a generic refusal layer.
It is not a simple post hoc filter.
It is not just “be careful” rewritten as a prompt.
- [Inverse Atlas Advanced](./runtime/inverse-advanced.txt)
- [Inverse Atlas Basic](./runtime/inverse-basic.txt)
- [Inverse Atlas Strict](./runtime/inverse-strict.txt)
- [Demo Harness](./runtime/inverse-demo.txt)
- [Evaluator](./runtime/inverse-eval.txt)
- [Case Pack](./runtime/inverse-cases.txt)
- [Runtime Notes](./runtime/README.md)
- [Experiments Hub](./experiments/README.md)
- [Showcase Cases](./experiments/showcase-cases.md)
- [Evidence Snapshot](./experiments/evidence-snapshot.md)
- [Case Studies](./experiments/case-studies/README.md)
- [Colab / Reproduction Entry](./colab.md)
- [Paper PDF](./paper/inverse-troubleshooting-atlas-pre-generative-governance-for-ai-legitimacy.pdf)
- [Paper Notes](./paper/README.md)
- [Figures](./figures/README.md)
Its concern is narrower and deeper:
This is already enough to make the current layer:
- visible
- testable
- comparable
- discussable
- attackable in public
**output legitimacy under unresolved structure**
That matters.
That means its role is especially important in cases where the model looks fluent enough to bluff its way into false closure.
In other words, this system is not built to make answers merely softer.
It is built to make answers more lawfully proportioned to what the system has actually earned.
Because a framework that cannot be surfaced as an inspectable object is much harder to evaluate honestly.
---
## Current MVP scope 📦
## 📘 Paper, Figures, and Theory
The current Inverse Atlas MVP includes:
If you want the formal layer, go here:
- the core positioning framework
- the main runtime artifact
- a short demo harness
- an evaluator artifact
- a minimal case pack
- the MVP paper
- the core figures
- supporting documentation pages for usage and boundaries
- [Read the paper PDF](./paper/inverse-troubleshooting-atlas-pre-generative-governance-for-ai-legitimacy.pdf)
- [Read the paper notes](./paper/README.md)
- [See the figures](./figures/README.md)
This is already enough to make the system understandable, testable, and comparable at the text-artifact level.
The paper is not a footnote.
It is the formal surface that explains:
- why this is not just another checker
- why legitimacy failure is earlier than output-quality failure
- why the demo harness matters
- why the evaluator is legality-centered
- why the case pack defines the MVP benchmark seed
- why forward-layer mapping and inverse-layer governance are complementary
---
## What is already true ✅
## 💬 Quick FAQ
At the current stage, it is fair to say:
### Is this just a stricter prompt?
No.
It changes the order of generation.
Instead of answer first and clean up later, it asks whether the answer is currently lawful enough to emit.
- Inverse Atlas exists as a distinct atlas line
- it can already be presented as an MVP product surface
- it has a runtime form, a demo form, an evaluator form, and a case-pack form
- it has a paper-level explanation and figure set
- it can already be paired conceptually with the forward atlas as part of a larger twin-atlas direction
### Which runtime should I start with?
Start with [Inverse Atlas Advanced](./runtime/inverse-advanced.txt).
It is the recommended default.
### What does the killer demo actually show?
It shows where a plausible direct-answer baseline escalates too early, overclaims certainty, skips neighboring-cut honesty, or presents cosmetic repair as structural.
### Do I need the full experiment stack to understand it?
No.
You can start with Advanced + Demo Harness + one killer case.
The experiment layer simply gives you a cleaner public comparison surface.
### Is this already claiming universal benchmark superiority?
No.
This README describes an MVP product direction with a runtime, demo, evaluator, case pack, paper, and figure set.
It does not claim that the full closed-loop WFGY 4.0 architecture is already complete.
---
## What is not yet claimed ⛔
## ⛔ What Is Not Yet Claimed
This page does **not** claim that the following are already complete:
This page does **not** claim:
- a full bridge implementation between forward and inverse layers
- a universal production operating layer
- complete hallucination elimination
- final large-scale benchmark superiority
- the completed WFGY 4.0 closed-loop system
- full hallucination elimination
- universal superiority across all tasks
- a completed production operating system
- a finished forward-plus-inverse closed loop
- a fully completed WFGY 4.0 bridge implementation
Those directions are important, but they belong to later layers.
The current claim is narrower and stronger:
For now, the correct statement is simpler and more precise:
**Inverse Atlas is a completed MVP product direction within the broader atlas family, but the full closed-loop architecture is still ahead**
**Inverse Atlas already exists as a real MVP artifact layer**
**the broader architecture is still ahead**
---
## The next architectural step 🌉
## 🌉 Where This Goes Next
The next major step after the forward and inverse atlas lines is the bridge layer.
Inverse Atlas is not the end state.
That future layer is currently referred to as **Atlas Bridge**.
It is one side of a larger architecture.
Its role will be to connect:
If the route-first layer keeps improving structural orientation, and the inverse layer keeps improving output legitimacy, then the next natural step is tighter pairing inside the broader twin-atlas direction.
- route judgment from the forward atlas
- legitimacy states from Inverse Atlas
- repair legality checks
- output ceiling control
- escalation and de-escalation logic
For that conceptual pairing layer, see:
- [Twin Atlas README](../Twin_Atlas/README.md)
When that handoff becomes explicit and stable, the broader closed-loop architecture becomes much more real.
The larger vision is not:
“make answers look safer.”
That future direction matters.
The larger vision is:
But this page is intentionally focused on the Inverse Atlas line itself.
**make generative systems know when they have, and have not, earned the right to speak strongly**
That is a much bigger shift.
---
## Why this matters beyond one product line 🌌
## 🏁 Final Positioning
Inverse Atlas is important not only because it improves one atlas family, but because it changes what AI debugging can become.
Inverse Atlas is not just another GitHub artifact.
Without a governance layer, a model may become good at producing persuasive structure without lawful structure.
It is a new governance layer for AI generation.
With a governance layer, the system gains a better chance of doing something much harder:
It says:
- staying unresolved when unresolved is correct
- demanding more evidence when evidence is missing
- refusing fake repair when root structure is untouched
- preserving neighboring routes instead of collapsing them too early
- earning strong output instead of performing it
- not every prompt has earned an answer
- not every likely route has earned public resolution
- not every repair has earned the word structural
- not every strong tone has earned trust
That difference becomes even more important as problems get larger, messier, and more multi-layered.
So while the current MVP is focused and bounded, the design direction is much bigger.
---
## Reading path 📚
If you are new here, use this order:
1. read this page first
2. go to [Quick Start](./quickstart.md)
3. read [Runtime Guide](./runtime-guide.md)
4. read [Dual-Layer Positioning](./dual-layer-positioning.md)
5. read [Status and Boundaries](./status-and-boundaries.md)
If you want the route-first side, go to the forward atlas page:
[Problem Map 3.0 Troubleshooting Atlas](../wfgy-ai-problem-map-troubleshooting-atlas.md)
If you want the paired concept, go to:
[Twin Atlas README](../Twin_Atlas/README.md)
If you want the future closed-loop direction, go to:
[Atlas Bridge README](../Atlas_Bridge/README.md)
---
## Final positioning
Inverse Atlas is the legitimacy-first half of a larger atlas family.
It does not replace the forward atlas.
It completes a missing dimension.
The forward atlas helps the system ask:
The forward atlas, [Troubleshooting Atlas](../wfgy-ai-problem-map-troubleshooting-atlas.md), helps answer:
**where is the failure likely located?**
Inverse Atlas helps the system ask:
Inverse Atlas answers the second question:
**has the system actually earned the right to resolve this yet?**
Put together, those two questions make the whole family much stronger.
Put together, those two questions create a much stronger family.
That is why Inverse Atlas is not a side note.
That is why Inverse Atlas is not a side feature.
It is a second product line, and a necessary step toward the larger closed-loop architecture of what comes next.
It is a second major atlas line, and a necessary step toward a larger generation architecture that treats legitimacy as seriously as intelligence. ✨