- SEASONS: Signal and Energy Aware Sensing on iNtermittent Systems https://arxiv.org/abs/2402.08739
Channel
Arxiv
@arxiv_feed
On this record: Growth · Engagement · Posts · Cite this entry
183subscribers
-4 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
Register entry
| Telegram ID | -1001099133581 |
|---|---|
| Type | Channel |
| Username | @arxiv_feed |
| Created | 9 September 2016 — measured — cross-checked against a third-party dataset (TGDataset) |
| First recorded | 7 August 2026 |
| Last confirmed live | 23 August 2026 |
| Measurements held | 3 |
| Confirmed unchanged | 1 time, most recently 23 August 2026 |
| On Telegram | t.me/arxiv_feed |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 23 Aug 2026, 00:44 | 183 | -4 |
| 7 Aug 2026, 07:17 | 187 | no change |
| 7 Aug 2026, 00:22 | 187 | first reading |
Engagement
20 posts held, back to 15 February 2024 — 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 20 posts for this entry, the most recent from 15 February 2024. An engagement rate over an empty window would be a number about nothing.
Recent posts
- ADS: Approximate Densest Subgraph for Novel Image Discovery https://arxiv.org/abs/2402.08743
- Unveiling Hidden Energy Anomalies: Harnessing Deep Learning to Optimize Energy Management in Sports Facilities https://arxiv.org/abs/2402.08742
- Rationality of Learning Algorithms in Repeated Normal-Form Games https://arxiv.org/abs/2402.08747
- An impossibility result for strongly group-strategyproof multi-winner approval-based voting https://arxiv.org/abs/2402.08746
- Nearest Neighbor Representations of Neurons https://arxiv.org/abs/2402.08748
- Towards the Detection of AI-Synthesized Human Face Images https://arxiv.org/abs/2402.08750
- Automated detection of motion artifacts in brain MR images using deep learning and explainable artificial intelligence https://arxiv.org/abs/2402.08749
- Forecasting for Swap Regret for All Downstream Agents https://arxiv.org/abs/2402.08753
- Nearest Neighbor Representations of Neural Circuits https://arxiv.org/abs/2402.08751
- LLM-driven Imitation of Subrational Behavior : Illusion or Reality? https://arxiv.org/abs/2402.08755
- On-the-Fly Syntax Highlighting: Generalisation and Speed-ups https://arxiv.org/abs/2402.08754
Showing the 12 most recent of 20 posts we hold for @arxiv_feed. 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.
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 23 August 2026 — this entry's latest reading, not the date you are reading this.
“Arxiv” (@arxiv_feed), 183 subscribers as measured 23 August 2026. Telegram Register, tgregister.com/channel/arxiv_feed.
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.