CS papers near 18,000/month, up 10x since 2016, led by complexity and algorithms
burny_tech · x · 2026-10-25
A trend analysis of monthly new CS papers shows output growing from 1,500/month in 2016 to 18,000 in early 2026 — more than a tenfold rise.
- The fitted trend uses exp(a+bt+cmonth) to account for seasonal effects; the upward trend is clear but doesn't yet override seasonality (dips around summers, peaks late in the year).
- The biggest gains come from computational complexity, algorithms, and game theory.
- The 2026 segment is an extrapolated forecast of roughly 12,000–14,000 papers/month.
More from Research
- Developer Reverse-Engineers SynthV AI v2 Binary and Reimplements It Fully in PyTorch — cephaloform · 2026-10-25
- arXiv paper: test collections may need expiration dates as neural rankers near human-level — bclavie · 2026-10-25
- FlashMap: flow map-based speculative decoding speeds up Qwen3-8B inference over 6x — caglarml · 2026-10-25
- ICML Paper: Empowerment-Based Representations Are 1000x More Sensitive to Control-Relevant Features — burny_tech · 2026-10-25
- ETH Zurich teaches G1 robot to climb ladders with just 10 minutes of human data — Distinct-Question-16 · 2026-10-25
- New soft actuator weighs 15g, lifts 400g, costs under $3 to build — IanPritchard · 2026-10-25