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Where others cite CodeSOTA.

Independent references to the registry — in academic talks, research discussions, and developer threads. Every entry links straight to its source, so you can read the original rather than take our word for it. We add an item here only after we have seen the primary source ourselves.

Featured · Academic citation

AAAI 2026 · Audio Workshop · Singapore · 26 Jan 2026

Cited as the live AudioSet leaderboard in an AAAI 2026 workshop talk.

An independent citation, by a researcher with no affiliation to CodeSOTA. In “Large Audio-Language Models and Applications,” Prof. Wenwu Wang lists CodeSOTA’s audio classification leaderboard as a source for state-of-the-art on AudioSet — placed directly alongside the now-defunct Papers with Code link it succeeds.

Speaker: Prof. Wenwu Wang
Affiliation: Centre for Vision, Speech & Signal Processing (CVSSP) & Surrey Institute for People-Centred AI, University of Surrey
Venue: Audio-AAAI Workshop, Singapore

View the slides (PDF) ↗

Slide from Prof. Wenwu Wang's AAAI 2026 audio workshop talk, listing codesota.com/audio/classification as the AudioSet leaderboard source alongside Papers with Code.

Slide 6 of 43. Both leaderboard URLs appear in the speaker’s own deck; the Papers with Code link is no longer maintained.

More mentions

Tomasz Tunguz · Theory VenturesApr 2026

“A $10 Billion Call Option”

CodeSOTA cited as the data source for AI-agent model-usage share

In an essay on Cursor’s position relative to Anthropic, VC Tomasz Tunguz sources a key figure — “Anthropic processes more than 100x xAI’s volume” — to CodeSOTA / OpenRouter’s “Which Models Do AI Agents Actually Use?” (footnote 3).

Read the essay ↗

Hacker News2026

Discussion: “Mistral OCR 3”

CodeSOTA’s OCR leaderboard referenced as a source on document-AI model performance

In the comments on Mistral’s OCR-3 launch, a commenter linked codesota.com/ocr while comparing reported accuracy against open-source models like PaddleOCR, MinerU and MonkeyOCR.

Read the thread ↗

UseAIAPI · Developer guideMay 2026

“2026 Programmer’s Model-Selection Guide: GPT-5 vs Claude Opus/Sonnet 4”

CodeSOTA leaderboards used as the established reference for ranking code-generation models

This developer model-selection guide opens by invoking CodeSOTA as common ground — “if you’ve browsed any CodeSOTA leaderboard in the past few months…” — framing it as the go-to ranking for current best code models before comparing SWE-bench results.

Read the guide ↗

AlternativeToDec 2025

News: “Mistral OCR 3 delivers major leap in accuracy…”

CodeSOTA’s OCR page cited as the real-world counter-check to vendor benchmark claims

Under AlternativeTo’s coverage of Mistral OCR 3, a reader pushed back on the launch numbers — “They cherry picked results for benchmarks. Here’s real world results” — and linked codesota.com/ocr as the independent reference.

Read the article ↗

Reddit · r/MachineLearning2026

“Failure to Reproduce Modern Paper Claims”

CodeSOTA recommended as an alternative for finding reproducible, verified results

In a thread about modern papers whose claimed numbers don’t reproduce, CodeSOTA came up as a place to find scores that are independently verified and dated rather than copied from press releases.

Read the thread ↗

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