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STOC 2027 Submissions

STOC 2027 Submissions is STOC 2027 Submissions. It is ranked #505 on the AI Radar, in AI research, first seen 16 h ago and shared in 1 post (10.5k views).

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STOC 2027 Submissions STOC 2027 Submissions 1665 papers. #1 A Study of Private Proofs of Proximity for Distribution Properties Clément Canonne, Abigail Gentle, Sam Polgar, Aditya Vikram Singh #2 Potential Hessian Ascent IV: Sampling the Sherrington-Kirkpatrick Model at Beta < 1 Juspreet Singh Sandhu, Jonathan Shi, Holden Lee #5 Metric Self-Dual Completion and Optimal Additive Hardness for Quantum and Graph-State Distance Rafail Ostrovsky #6 Bootstrapping Classical and Quantum Query Lower Bounds for Finding Tarski Fixed Points Tongyang Li, Weiran Ma, Ziyi Yang, Xingyu Zhao #7 A Constant-Factor Approximation to Multidimensional Consumer…

What people said about STOC 2027 Submissions on X

I've seen a few pages which give AI reviews of these STOC submissions. Acknowledging we're all figuring things out together in real time, I personally find these in somewhat poor taste. 1/n

— @thegautamkamath, 16 h ago · 73 likes · see the post

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What is STOC 2027 Submissions?

STOC 2027 Submissions It was first shared on X 16 h ago and is ranked #505 on the AI Radar.

Is STOC 2027 Submissions free?

Pricing is not stated on the page we read.

Who shared STOC 2027 Submissions?

1 account on X, including @thegautamkamath, in 1 post totalling 10.5k views.

Every post is read and classified by AGK Intelligence: what it is, which market it belongs to, and whether the link is a real tool. 65.6k posts from 5k X accounts over the last 14 days, 10.4k tools, 19 markets. New posts are collected several times an hour and the full ranking is recomputed every hour — last update 2026-11-06 15:10 UTC. Full method.