#DistributionShift

Live, measured metrics for the hashtag #DistributionShift from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.

hashtag.org network · sponsored

Own #distributionshift

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.

$5.00/ year · 17-character #name
Claim #distributionshift — $5.00/yr→Buy on hashtag.space (web3)
card via hashtag.org · tokens via hashtag.space
0
Uses / 7 days
Mastodon
0
Accounts / 7 days
Mastodon
1
Recent posts
Mastodon
—
Recent pace
Mastodon · last 1
0
Avg reactions / post
Mastodon · last 1

Day-by-day usage

measured · fosstodon.org (Mastodon public tags API) · fetched 2026-07-28 06:28 UTC
0
07-22
0
07-23
0
07-24
0
07-25
0
07-26
0
07-27
0
07-28

0 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 2026-07-28 06:28 UTC

No related tags with measured usage found for #distributionshift.

Live pulse

measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-07-28 06:28 UTC

Everything below is measured over the latest 1 public posts.

Posting hours (UTC)

00:0012:0023:00

Languages: English (1)

Avg boosts / post: 0

Top of the latest posts

  • Offline ablation predicted -0.19pp. Production delivered at 1.11pp 이 글은 오프라인 평가(offline ablation)가 실제 프로덕션 성능과 크게 다를 수 있음을 사례별로 분석한다. 특히, 학습-서빙 스큐, 분포 변화, 데이터 불일치, 베이스라인 불안정성 등 네 가지 실패 원인을 상세히 설명하며, 오프라인 평가가 훈련 데이터 변경에 대해 신뢰도가 떨어질 수 있음을 지적한

    ainews@[email protected]♥ 0↻ 02026-06-16 20:41 UTCView post →

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/distributionshift