How do you publish on arXiv without an institution? Looking for an endorser or reviewer for a paper on modular, toolchain-validated small code models [R]
I wanted to publish my very first scientific article on platforms like arXiV or ResearchGate, but because I do not have the scientific community around me that can help me with that - I need to ask here how you'd overcome this.
Proof1 community thread
Key points
- Recently I finished the article materials around very new class of the language models (our own invention so to say), but now I feel dumb what to do and how to gather people scientific people around - endorsers or reviewers, because both of those platforms requires those.
- Is there anyone interested in the Artificial Intelligence and current Language Models in general, who can and would like to read the abstract and have the powers to help me publish it (and I can add helper as initial reviewer/co-author of the work).
- You can think of it like a mixture of LiquidAI small models with the modular hot-swappable experts that does not guess.
- If there will be someone interested in reading the article, DM me - looking for someone who can either contribute to the article (co-author) or help endorse me - people with published articles on arXiv or ResearchGate are highly welcomed.
Sources (1)
- [1]How do you publish on arXiv without an institution? Looking for an endorser or reviewer for a paper on modular, toolchain-validated small code models [R]r/MachineLearning (top, daily) · Oct 15, 10:19 PM
I wanted to publish my very first scientific article on platforms like arXiV or ResearchGate, but because I do not have the scientific community around me that can help me with that - I need to ask here how you'd overcome this.
Recently I finished the article materials around very new class of the language models (our own invention so to say), but now I feel dumb what to do and how to gather people scientific people around - endorsers or reviewers, because both of those platforms requires those.
Extractive summary: sentences quoted from the sources.
Before this
- Oct 15, 2026Ternary Bonsai 2 Family: 2B, 4B, & 9B based on Qwen 3.5
- Oct 15, 2026QUASAR 4-bit QAT checkpoints for Qwen3.5, Gemma 4 and Muse Glimmer: closer to BF16 than Google’s and NVIDIA’s 4-bit releases
- Oct 15, 2026huggingface/transformers v5.20.0: Release v5.20.0
- Oct 15, 2026ggml-org/llama.cpp v0.7.0
- Oct 15, 2026NVIDIA Nemotron 3.5 Super VL Powers Specialized Agents with Multimodal Reasoning
- Oct 15, 2026StepFun Releases Step 5 Preview Open Weights: 600B MoE, 27B Active, 1M Context
