#toppaper
Live, measured metrics for the hashtag #toppaper from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #toppaper
This #name is available to claim. It becomes your portal on the open agent web: this very page, a keyword you rank for by an open public stake, and a verifiable identity for AI agents. Nobody else sells a page like this for every #name.
Day-by-day usage
measured · fosstodon.org (Mastodon public tags API) · fetched 2026-07-27 20:24 UTC0 uses by 0 unique accounts across the window. Real per-day counts, not estimates. Newest bar is today so far.
Related hashtags
measured · fosstodon.org (Mastodon public search API) · fetched 2026-07-27 20:24 UTCNo related tags with measured usage found for #toppaper.
Live pulse
measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-07-27 20:24 UTCEverything below is measured over the latest 15 public posts (spanning ~5741 hours).
Posting hours (UTC) — busiest: 18:00
Languages: English (15)
Avg boosts / post: 0.4
Top of the latest posts
NEW BIML Bibliography entry https://arxiv.org/abs/2509.16499 A Closer Look at Model Collapse: From a Generalization-to-Memorization Perspective Lianghe Shi, et al A very nice set of references to work in model collapse. Collapsed model == l
NEW BIML Bibliography entry https://arxiv.org/abs/2606.03811 AI Agents Enable Adaptive Computer Worms Guan, Jonas, Tom Blanchard, Hanna Foerster, Hengrui Jia, Gabriel Huang, and Nicolas Papernot This paper is a clarion call. Time to wake up
NEW BIML Bibliography entry https://arxiv.org/abs/2507.19457 GEPA: Reflective Prompt Evolution Can Outperform Reinforcement Learning Agrawal, Lakshya A., et al This is an important paper moving toward the idea of agentic harnesses. There ar
Every number above is measured from a named public API at the shown fetch time. Nothing is estimated or extrapolated. Platforms that lock their data behind paid APIs are not shown. Agents: the same numbers, as JSON, at /api/hashtags/toppaper