#equivariance
Live, measured metrics for the hashtag #equivariance from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #equivariance
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 · mastodon.social (Mastodon public tags API) · fetched 2026-10-13 02:37 UTC0 uses by 0 unique accounts across the window. Real per-day counts, not estimates. Newest bar is today so far.
Related hashtags
measured · mastodon.social (Mastodon public search API) · fetched 2026-10-13 02:37 UTCNo related tags with measured usage found for #equivariance.
Live pulse
measured · mastodon.social (Mastodon tag timeline) · fetched 2026-10-13 02:37 UTCEverything below is measured over the latest 2 public posts (spanning ~29574 hours).
Posting hours (UTC)
Languages: English (2)
Avg boosts / post: 25
Top of the latest posts
Relativistic Bohmian Physics, with a Microscopic Interpretation Stephane H. Maes August 12, 2026 Abstract The extension of Bohmian mechanics to the relativistic domain, and to quantum field theory presents specific theoretical difficulties.
Posit AI Blog: Implementing rotation equivariance: Group-equivariant CNN from scratch https://triangleagency.co.uk/posit-ai-blog-implementing-rotation-equivariance-group-equivariant-cnn-from-scratch/?utm_source=dlvr.it&utm_medium=mastodon #
What “equivariance” means
WikipediaIn mathematics, equivariance is a form of symmetry for functions from one space with symmetry to another. A function is said to be an equivariant map when its domain and codomain are acted on by the same symmetry group, and when the function commutes with the action of the group. That is, applying a symmetry transformation and then computing the function produces the same result as computing the function and then applying the transformation.
“Equivariant map” on Wikipedia (CC BY-SA) →#equivariance across platforms
every network with a public tag surfaceFollow #equivariance straight to each platform’s own tag page. Where a platform publishes open data we measure it above; the rest lock their numbers behind paid APIs, so we link rather than guess.
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/equivariance