A required layer of the learning contract.
Public Preview
About & Review Policy
Continuous Function is a source-grounded AI research learning atlas. It maps papers, equations, architectures, and system tradeoffs to intuition, math, runnable witnesses, and prediction-first demos.
Team
Maintained by Archit Khare with AI-assisted review lanes.
The public site is currently maintained as a focused research-learning project, not as a university course, certification program, or public forum. AI tools may help draft, critique, test, and audit content, but AI assistance is not a substitute for explicit human or source review.
Editorial Method
Every durable concept should connect intuition, math, code, and a demo.
The atlas favors source-scoped explanations over broad claims. Strong pages define symbols, show the mechanism in code, ask for a learner prediction before reveal, and name caveats where the demo is only a toy witness.
A required layer of the learning contract.
A required layer of the learning contract.
Prediction first, then reveal the mechanism.
Review Policy
Review labels are evidence boundaries, not badges of authority.
Published
The page is public and has passed the local content/build gates used for this atlas. It is still corrigible.
Source-checked
A specific claim is tied to listed sources, code, or route artifacts. The support is scoped to that claim, not to the whole page.
Needs review
The page or claim is useful enough to show, but it needs more source, math, code, or human review before stronger wording is allowed.
Toy witness
A small local program or browser demo illustrates a mechanism. It is not a benchmark result or production validation.
Human expert review, Oracle/GPT Pro review, browser QA, and local test evidence should be named when they exist. If they are not named, readers should treat the page as a careful public preview rather than a certified teaching artifact.
Corrections & Contributions
Feedback should attach to the exact object that failed.
The current public contribution flow prepares scoped notes for confusing jumps, missing prerequisites, source-scope issues, code witness failures, reproduction notes, and proposed open tasks. It does not create a public GitHub issue yet.