13 Oct 2025, 21:25 UTC23 viewsread 12 August 2026
Photo
Photo, posted without a caption
Channel
Language of Time Autocast
@langotime_autocast
On this record: Growth · Engagement · What this channel posts · Posts · Citations · Cite this entry
7subscribers
+0 since we began measuring on 8 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
Register entry
| Telegram ID | -1002954796749 |
|---|---|
| Type | Channel |
| Username | @langotime_autocast |
| Description | Канал-сателлит для @langotime с разборами статей, сгенерированными автоматически. Качество может сильно отличаться от статьи к статье - не судите генерирующий AI строго. Если нашли вопиющую ошибку - напишите, пожалуйста, в чат основного канала. |
| Created | 13 October 2025 — measured — dated from the channel’s first post |
| First recorded | 12 August 2026 |
| Last confirmed live | 15 August 2026 |
| Measurements held | 2 |
| On Telegram | t.me/langotime_autocast |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 12 Aug 2026, 19:16 | 7 | no change |
| 8 Aug 2026, 15:32 | 7 | first reading |
Engagement
7 posts held, back to 13 October 2025 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 pageof Telegram’s post history, 20 posts per page.
Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 7 posts for this entry, the most recent from 13 October 2025. An engagement rate over an empty window would be a number about nothing.
What this channel posts
- Photos
- 7
- Links
- 1
Lifetime counters from Telegram’s own channel header, read 12 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.
Recent posts
13 Oct 2025, 21:25 UTC18 viewsread 12 August 2026
### 🌍 Более широкие выводы и будущие направления Значение этой работы выходит за рамки временных рядов. Она продвигает подход к проектированию фундаментальных моделей, учитывающий модальность данных. Понимание внутренней алгебраической структуры данных — ключ к созданию эффективных и мощных моделей. Значительное повышение эффективности, продемонстрированное для TSFM, делает их гораздо более жизнеспособными для прило…
13 Oct 2025, 21:25 UTC15 viewsread 12 August 2026
### 🌊 Новый феномен: «поток рангов» Анализ выходит за рамки входного слоя и описывает, как представления данных эволюционируют в глубоком трансформере. Авторы вводят новую концепцию — «поток рангов»: по мере прохождения данных через последовательные слои нелинейные активации, смешивание через residual connection и нормализация приводят к постепенному увеличению численного ранга представления. Этот рост ранга количе…
13 Oct 2025, 21:25 UTC19 viewsread 12 August 2026
# Мясо 🍖 ### 🧐 Введение: ставим под сомнение шаблон LLM для временных рядов Рост популярности фундаментальных моделей, начавшийся с больших языковых моделей (LLM), привёл к распространённой практике: успешные архитектуры трансформеров из текстового домена адаптируют для других модальностей, таких как временные ряды. Однако такой перенос часто происходит без глубокого понимания, являются ли архитектурные решения — ш…
13 Oct 2025, 21:25 UTC26 viewsread 12 August 2026
Photo
О ранге и сжимаемости трансформеров для временных рядов Understanding Transformers for Time Series: Rank Structure, Flow-of-ranks, and Compressibility Annan Yu, Danielle C. Maddix, Boran Han, Xiyuan Zhang, Abdul Fatir Ansari, Oleksandr Shchur, Christos Faloutsos, Andrew Gordon Wilson, Michael W. Mahoney, Yuyang Wang Статья: https://arxiv.org/abs/2510.03358 # TL;DR 💡 Что сделано? В статье предложена новая аналитиче…
13 Oct 2025, 20:57 UTCviews —
Channel name was changed to «Language of Time Autocast»
13 Oct 2025, 20:56 UTCviews —
Channel created
Showing the 7 most recent of 7 posts we hold for @langotime_autocast. View and reaction counts are the latest single reading for each post, not a live figure, and a recent post is still accumulating both. A view count marked ≈ was rounded by Telegram before we ever saw it — t.me prints views in full below 1,000 and to three significant figures above, so ≈1,200,000 means somewhere between 1,150,000 and 1,249,999. Unmarked counts are exact. Text is reproduced from the public post preview and truncated for length.
Citation-graph rank
Citation-graph rank — 935,115 of 1,549,376entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.
Mentions
Named by 1 registered channel — every channel on the register whose own posts have named this one, by its current username or any other username it currently holds, merged from two separately captured readings of the same fact so a namer caught by only one of them is not missed and a namer both caught is not counted twice. A username this channel has since dropped is not matched — that handle may belong to someone else now, and crediting today’s namer to yesterday’s owner would misattribute it.
Named by
Channels on the register whose posts name this channel's handle.
A mention is a weaker signal than a forward and is counted separately for that reason — naming a channel is not republishing it, and a handle in a post body is easy to place deliberately. The post counts beside each row below are distinct posts in which the handle appeared, from posts we have read on both sides — the “Named by N registered channels” figure above is a different count, of distinct NAMING CHANNELS rather than posts, and is not the sum of the rows under it.
Cite this entry
A live page changes as we take new readings, so a citation should name the measurement it is based on, not just the URL. The line below cites the subscriber count as measured 12 August 2026 — this entry's latest reading, not the date you are reading this.
“Language of Time Autocast” (@langotime_autocast), 7 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/langotime_autocast.
Full measurement history, CC BY 4.0. Every reading this register holds for this entry, not just the latest one, as a dated, downloadable record: CSV · JSON. Free to use with attribution to tgregister.com. Each file carries its own generation timestamp, which is the figure to cite for exactly when the data was retrieved.