Which AI stories has SIREN scored in this window? · What has SIREN scored under Capability? · What has SIREN scored as Papers? ·
MLExpert: Towards a Generalist Agentic Model for Autonomous Machine Learning Engineering
Large language models (LLMs) are expanding from assisting scientific research and engineering to autonomously developing and improving AI systems, advancing AI for AI (AI4AI) as a pathway toward…
Source: What has SIREN scored via arXiv cs.AI / cs.LG / cs.CL (newest)? · original · first seen by this index at
Publisher: What has SIREN scored from arxiv.org?. A publisher link means the original URL host cleared the outlet gate (≥5 scored stories in this window).
Topics: What has SIREN scored about AI agents?, What has SIREN scored about Recursive self-improvement?, What has SIREN scored about Large language models?, What has SIREN scored about AI systems?, What has SIREN scored about Machine learning?. A topic link means the title or summary matched a published needle with enough other stories to clear the tag gate.
What is the score on this story?
| Component | Points |
|---|---|
| source weight | 16.3 |
| recency | 16.0 |
| corroboration | 12.5 |
| engagement | 3.9 |
| entities | 0.0 |
| severity | 0.0 |
| coverage | 0.0 |
| Total | 48.7 |
Every term is published and every input is public, so this number can be recomputed. It ranks the item inside the 800-item window; it is not a judgement about importance in the world.
How many sources carried this story?Corroboration
2 sources carried this. First: arxiv-newest at 2026-10-15 17:56:32 UTC.
No independent lead. hf-daily-papers derives from arxiv-newest, so the gap between them measures pipeline latency, not whether anybody was first.
Derived carriers (excluded from any lead claim): hf-daily-papers.
Which related stories are in this window?
- OmniCompass: A Holistic Benchmark for Omni-Modal Video Grounding and Understanding 53.8
- Speculative Forcing for Efficient Autoregressive Video Generation 52.2
- Self-Evolving Agent Harness 50.1
- Orbia: Do Generated Videos Form a Consistent 3D World? 49.5
- SCOPE: Semantic Bounded Credit Optimization for Prompt Engineering in Text-to-image Generation 49.4
What questions do people actually ask?
What is the score on this story?
Scored 48.7 of 100. Every term is published and every input is public, so this number can be recomputed. It ranks the item inside the 800-item window — not a judgement about importance in the world and not an item doom score.
How many sources carried this story?
2 sources carried this. Independent carriers count toward any lead claim; derived carriers are labelled mechanical and excluded.
Which related stories are in this window?
5 related stories in the same window, each with its own permanent scored page.
Does SIREN publish an item doom score?
No. Activity tempo, not probability of harm. A permanent story page carries a tempo score decomposition and corroboration set, not a probability of harm.