#linearlogic
Live, measured metrics for the hashtag #linearlogic from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #linearlogic
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 2026-09-17 00:05 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 2026-09-17 00:05 UTCNo related tags with measured usage found for #linearlogic.
Live pulse
measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-09-17 00:05 UTCEverything below is measured over the latest 2 public posts (spanning ~24937 hours).
Posting hours (UTC)
Languages: English (2)
Avg boosts / post: 0
Top of the latest posts
Everything is supported by strong semantic results in terms of simulations and bisimulations, giving a new lens on the Proofs as Processes agenda and the first formulation of session fidelity in linear logic that is based on observable tran
Rosen stated: "I argue that the only resolution to such problems [of the subject-object boundary and what constitutes objectivity] is in the recognition that closed loops of causation are 'objective'; i.e. legitimate objects of scientific s
#linearlogic across platforms
every network with a public tag surfaceFollow #linearlogic 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/linearlogic