PDF Viewer

BUILDER'S SANDBOX

Build This Paper

Use an AI coding agent to implement this research.

OpenAI Codex
OpenAI CodexAI Agent

Lightweight coding agent in your terminal.

Claude Code
Claude CodeAI Agent

Agentic coding tool for terminal workflows.

AntiGravity IDE
AntiGravity IDEScaffolding

AI agent mindset installer and workflow scaffolder.

Cursor
CursorIDE

AI-first code editor built on VS Code.

VS Code
VS CodeIDE

Free, open-source editor by Microsoft.

Estimated $10K - $14K over 6-10 weeks.

See exactly what it costs to build this -- with 3 comparable funded startups.

7-day free trial. Cancel anytime.

Discover the researchers behind this paper and find similar experts.

7-day free trial. Cancel anytime.

References (32)

[1]
StealthInk: A Multi-bit and Stealthy Watermark for Large Language Models
2025Ya Jiang, Chuxiong Wu et al.
[2]
TOPLOC: A Locality Sensitive Hashing Scheme for Trustless Verifiable Inference
2025Jack Min Ong, Matthew Di Ferrante et al.
[3]
AlphaPruning: Using Heavy-Tailed Self Regularization Theory for Improved Layer-wise Pruning of Large Language Models
2024Haiquan Lu, Yefan Zhou et al.
[4]
VerifierQ: Enhancing LLM Test Time Compute with Q-Learning-based Verifiers
2024Jianing Qi, Hao Tang et al.
[5]
A survey on LLM-based multi-agent systems: workflow, infrastructure, and challenges
2024Xinyi Li, Sai Wang et al.
[6]
zkLLM: Zero Knowledge Proofs for Large Language Models
2024Haochen Sun, Jason Li et al.
[7]
ZKML: An Optimizing System for ML Inference in Zero-Knowledge Proofs
2024Bing-Jyue Chen, Suppakit Waiwitlikhit et al.
[8]
Watermarking Makes Language Models Radioactive
2024Tom Sander, Pierre Fernandez et al.
[9]
A survey on large language model based autonomous agents
2023Lei Wang, Chengbang Ma et al.
[10]
A Watermark for Large Language Models
2023John Kirchenbauer, Jonas Geiping et al.
[11]
Scaling up Trustless DNN Inference with Zero-Knowledge Proofs
2022Daniel Kang, Tatsunori B. Hashimoto et al.
[12]
zkCNN: Zero Knowledge Proofs for Convolutional Neural Network Predictions and Accuracy
2021Tianyi Liu, Xiang Xie et al.
[13]
Privacy-Preserving Machine Learning With Fully Homomorphic Encryption for Deep Neural Network
2021Joon-Woo Lee, Hyungchul Kang et al.
[14]
Halo Infinite: Proof-Carrying Data from Additive Polynomial Commitments
2021D. Boneh, Justin Drake et al.
[15]
Mystique: Efficient Conversions for Zero-Knowledge Proofs with Applications to Machine Learning
2021Chenkai Weng, Kang Yang et al.
[16]
Spartan: Efficient and general-purpose zkSNARKs without trusted setup
2020Srinath T. V. Setty
[17]
Sonic: Zero-Knowledge SNARKs from Linear-Size Universal and Updatable Structured Reference Strings
2019Mary Maller, Sean Bowe et al.
[18]
Fast and simple constant-time hashing to the BLS12-381 elliptic curve
2019R. Wahby, D. Boneh
[19]
Verkle Trees
2019John Kuszmaul
[20]
Bulletproofs: Short Proofs for Confidential Transactions and More
2018Benedikt Bünz, Jonathan Bootle et al.

Showing 20 of 32 references

Founder's Pitch

"Secure LLM inference verification through TensorCommitments without large computational costs."

AI SecurityScore: 2View PDF ↗

Commercial Viability Breakdown

0-10 scale

High Potential

0/4 signals

0

Quick Build

1/4 signals

2.5

Series A Potential

1/4 signals

2.5

Sources used for this analysis

arXiv Paper

Full-text PDF analysis of the research paper

GitHub Repository

Code availability, stars, and contributor activity

Citation Network

Semantic Scholar citations and co-citation patterns

Community Predictions

Crowd-sourced unicorn probability assessments

Analysis model: GPT-4o · Last scored: 2/13/2026

Explore the full citation network and related research.

7-day free trial. Cancel anytime.

Understand the commercial significance and market impact.

7-day free trial. Cancel anytime.

Get detailed profiles of the research team.

7-day free trial. Cancel anytime.