org card: TensorCash — verifiable inference L1 (banner + links)

.gitattributes

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README.md

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 ---
-title: README
-emoji: 🏆
-colorFrom: pink
-colorTo: indigo
+title: TensorCash
+emoji: 🔍
+colorFrom: indigo
+colorTo: purple
 sdk: static
 pinned: false
 ---
 
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+<div align="center">
+
+<picture>
+  <source media="(prefers-color-scheme: dark)" srcset="tensorcash-og-dark.png">
+  <img alt="TensorCash" src="tensorcash-og-light.png" width="680">
+</picture>
+
+# TensorCash
+
+**A layer-1 blockchain whose proof-of-work *is* verifiable AI inference.**
+
+*Don't trust the provider. Verify the machine.*
+
+[Website](https://tensorcash.org) · [Verifier (GitHub)](https://github.com/tensorcash/tensorcash/tree/main/services/verification-api) · [Whitepapers](https://tensorcash.org/whitepapers) · [Blog](https://tensorcash.org/blog)
+
+</div>
+
+---
+
+## What is TensorCash?
+
+Most AI runs behind a black box: you send a prompt, tokens come back, and you have no
+way to check *which* model produced them — or whether the work was really done.
+TensorCash makes model execution **checkable**. Every generation on the network emits a
+compact, replayable **proof of inference** — the chosen tokens, the sampler draws, and
+the top-of-distribution logits, bound together so anyone can re-run the claimed model and
+confirm the output is genuine. The same proof doubles as the chain's proof-of-work: the
+mining puzzle is real inference, not wasted hashing.
+
+## On Hugging Face
+
+- 🔍 **[verify-proof-of-inference](https://huggingface.co/spaces/tensorcash/verify-proof-of-inference)** — browse released proofs and see, side by side, the full GPU-replay verdict, a local CPU transcript self-check, and the cheap distributional screen. It shows exactly *why* a cheap screen isn't enough.
+- 📊 **[proof-of-inference-eval](https://huggingface.co/datasets/tensorcash/proof-of-inference-eval)** — a byte-exact corpus of honest and forged proofs (cross-architecture substitution, same-architecture fine-tune, and 4-bit quantization) with full methodology, so you can reproduce the detection results yourself.
+
+In live GPU teacher-forced replay, full verification accepted honest proofs with zero
+false-rejects and detected **100% of all three forgery classes** — while a cheap
+distributional screen misses same-architecture fine-tunes and quantization. Per-token
+replay is the decisive check.
+
+## Build & verify
+
+- Run your own verifier — [walkthrough](https://tensorcash.org/blog/how-to-run-a-verifier)
+- Read the method — [*Verifiable Inference*](https://tensorcash.org/whitepapers/verifiable-inference)
+
+---
+
+<div align="center">
+
+*Open · pseudonymous · verifiable*
+
+Educational and technical resources only — nothing here is financial advice or an offer.
+
+</div>

index.html

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 <!doctype html>
-<html>
-	<head>
-		<meta charset="utf-8" />
-		<meta name="viewport" content="width=device-width" />
-		<title>My static Space</title>
-		<link rel="stylesheet" href="style.css" />
-	</head>
-	<body>
-		<div class="card">
-			<h1>Welcome to your static Space!</h1>
-			<p>You can modify this app directly by editing <i>index.html</i> in the Files and versions tab.</p>
-			<p>
-				Also don't forget to check the
-				<a href="https://huggingface.co/docs/hub/spaces" target="_blank">Spaces documentation</a>.
-			</p>
-		</div>
-	</body>
+<html lang="en">
+<head>
+  <meta charset="utf-8">
+  <title>TensorCash</title>
+  <meta http-equiv="refresh" content="0; url=https://tensorcash.org">
+</head>
+<body>
+  <p>TensorCash — <a href="https://tensorcash.org">tensorcash.org</a></p>
+</body>
 </html>