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New Term Radar
Discover names and concepts appearing in public sources, with dated evidence, source coverage and comparable growth.
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Collection coverage · Limited historyCurrent / previous observed days 7 / 4
Counts use complete UTC days. First observed means first seen by this collection, not when a term was coined.
Current window：2026-10-30 → 2026-11-06 (end excluded) · History 12 days
| Source | Current days | Previous days | Last success |
|---|---|---|---|
| arXiv | 6 | 4 | Nov 6, 2026, 12:30 AM UTC |
| arXiv | 7 | 3 | Nov 5, 2026, 10:01 AM UTC |
| Ask HN | 7 | 4 | Nov 5, 2026, 9:15 PM UTC |
| Ask HN | 7 | 4 | Nov 5, 2026, 8:30 PM UTC |
| Ask HN | 7 | 4 | Nov 5, 2026, 9:15 PM UTC |
| Ask HN | 7 | 4 | Nov 5, 2026, 9:15 PM UTC |
| GitHub | 7 | 4 | Nov 6, 2026, 12:30 AM UTC |
| GitHub Issues | 7 | 4 | Nov 5, 2026, 4:00 PM UTC |
| GitHub Releases | 7 | 2 | Nov 6, 2026, 12:15 AM UTC |
| GitHub | 7 | 4 | Nov 5, 2026, 2:30 PM UTC |
| GitHub Issues | 7 | 4 | Nov 5, 2026, 4:15 PM UTC |
| GitHub Releases | 7 | 4 | Nov 5, 2026, 4:15 PM UTC |
| GitHub | 7 | 4 | Nov 5, 2026, 2:30 PM UTC |
| GitHub Issues | 7 | 4 | Nov 5, 2026, 4:45 PM UTC |
| GitHub Releases | 7 | 4 | Nov 5, 2026, 4:15 PM UTC |
| GitHub Discovery | 1 | 0 | Nov 5, 2026, 9:15 PM UTC |
| GitHub Trending | 7 | 4 | Nov 6, 2026, 1:00 AM UTC |
| 7 | 3 | Nov 5, 2026, 10:00 AM UTC | |
| Hugging Face | 7 | 3 | Nov 5, 2026, 8:15 AM UTC |
| Hugging Face Spaces | 1 | 0 | Nov 5, 2026, 9:15 PM UTC |
| Hacker News | 7 | 4 | Nov 6, 2026, 1:00 AM UTC |
| Hacker News | 7 | 4 | Nov 5, 2026, 9:30 PM UTC |
| Hacker News | 7 | 4 | Nov 5, 2026, 9:30 PM UTC |
| Hacker News | 1 | 0 | Nov 5, 2026, 9:15 PM UTC |
| Show HN | 1 | 0 | Nov 5, 2026, 9:15 PM UTC |
| MIT News | 7 | 3 | Nov 5, 2026, 4:15 PM UTC |
| OpenAI | 7 | 4 | Nov 5, 2026, 11:30 AM UTC |
| Product Hunt | 7 | 4 | Nov 6, 2026, 1:00 AM UTC |
| 量子位 | 6 | 4 | Nov 4, 2026, 10:15 AM UTC |
| OpenRouter | 1 | 0 | Nov 6, 2026, 1:30 AM UTC |
| Hugging Face Models | 1 | 0 | Nov 6, 2026, 1:30 AM UTC |
| HF Daily Papers | 1 | 0 | Nov 6, 2026, 1:30 AM UTC |
| OpenRouter | 1 | 0 | Nov 6, 2026, 1:30 AM UTC |
| SEC EDGAR | 7 | 4 | Nov 5, 2026, 10:30 PM UTC |
| Sequoia Capital | 7 | 3 | Nov 5, 2026, 10:00 AM UTC |
| Simon Willison | 1 | 0 | Nov 5, 2026, 3:13 PM UTC |
| TechCrunch | 7 | 4 | Nov 5, 2026, 8:30 PM UTC |
| Contracts Finder | 7 | 4 | Nov 5, 2026, 7:45 PM UTC |
| V2EX | 7 | 4 | Nov 5, 2026, 8:30 PM UTC |
- Counts describe monitored public sources, not the whole web or search demand.
- Both weeks need adequate, comparable collection coverage.
Seven-day figures use the complete UTC window above. Priority is a research triage score, not search volume, market size or a probability of success.
LaplaceDiag
arXiv:2611.03849v1 Announce Type: new Abstract: Identifying faulty components from sensor anomalies is difficult because fault effects can propagate through a plant and different faults can produce similar observations. Detailed component models and labeled fault examples may also be unavailable. We introduce LaplaceDiag, a data-driven method that uses chang
First observed Nov 5, 2026 · arXiv
- 7d mentions
- 1 previous 0
- 7d sources
- 1
- 7d growth
- Not comparable
- Priority
- 38 / 100
Remote Gaze
Your Mac on your iPad and iPhone with no in-between server
First observed Nov 3, 2026 · Product Hunt
- 7d mentions
- 1 previous 0
- 7d sources
- 1
- 7d growth
- Not comparable
- Priority
- 38 / 100
-
- 7d mentions
- 1 previous 0
- 7d sources
- 1
- 7d growth
- Not comparable
- Priority
- 38 / 100
-
- 7d mentions
- 0 previous 1
- 7d sources
- 0
- 7d growth
- Not comparable
- Priority
- 38 / 100
Basedash Verified dashboards
Show your team which dashboards to trust
First observed Oct 24, 2026 · Product Hunt
- 7d mentions
- 1 previous 0
- 7d sources
- 1
- 7d growth
- Not comparable
- Priority
- 38 / 100
-
- 7d mentions
- 0 previous 0
- 7d sources
- 0
- 7d growth
- Not comparable
- Priority
- 38 / 100
-
- 7d mentions
- 0 previous 1
- 7d sources
- 0
- 7d growth
- Not comparable
- Priority
- 38 / 100
GSFC
arXiv:2611.00159v1 Announce Type: new Abstract: Fuzzy clustering provides a robust framework for handling ambiguous and overlapping data boundaries, yet its traditional formulation generates entirely dense membership assignments that limit noise resilience and prevent estimating the true number of clusters, when it is unknown. To address these limitations, w
First observed Nov 4, 2026 · arXiv
- 7d mentions
- 1 previous 0
- 7d sources
- 1
- 7d growth
- Not comparable
- Priority
- 38 / 100
Semantic Self-Consistency
arXiv:2410.07839v3 Announce Type: replace Abstract: While large language models (LLMs) have rapidly improved their performance on a broad number of tasks, they still often fall short on reasoning tasks. As LLMs become more integrated in diverse real-world tasks, advancing their reasoning capabilities is crucial to their effectiveness in nuanced, complex prob
First observed Nov 4, 2026 · arXiv
- 7d mentions
- 1 previous 0
- 7d sources
- 1
- 7d growth
- Not comparable
- Priority
- 38 / 100
-
- 7d mentions
- 1 previous 0
- 7d sources
- 1
- 7d growth
- Not comparable
- Priority
- 38 / 100
ProofPaths
arXiv:2611.03882v1 Announce Type: new Abstract: Students can use large language models to complete assignments, but a correct solution does not establish whether they understand the reasoning behind it. Individualized interviews can probe that understanding but require recurring staff effort. We introduce ProofPaths, an AI agentic framework that combines rub
First observed Nov 5, 2026 · arXiv
- 7d mentions
- 1 previous 0
- 7d sources
- 1
- 7d growth
- Not comparable
- Priority
- 38 / 100
HoldTalk
Hold fn, speak, and the text appears in any Mac app
First observed Nov 3, 2026 · Product Hunt
- 7d mentions
- 1 previous 0
- 7d sources
- 1
- 7d growth
- Not comparable
- Priority
- 38 / 100
Palette
First observed Nov 4, 2026 · Hugging Face
- 7d mentions
- 1 previous 0
- 7d sources
- 1
- 7d growth
- Not comparable
- Priority
- 38 / 100
Simple Retrieval-Recons
arXiv:2611.05386v1 Announce Type: new Abstract: Small Language Models (SLMs) are increasingly deployed on consumer-grade hardware, yet their ability to preserve information across progressively longer contexts remains insufficiently understood. Existing benchmarks primarily evaluate retrieval-oriented tasks, providing limited insight into whether successful
First observed Nov 5, 2026 · arXiv
- 7d mentions
- 1 previous 0
- 7d sources
- 1
- 7d growth
- Not comparable
- Priority
- 38 / 100
LOLPlay
arXiv:2611.03685v1 Announce Type: new Abstract: Visual agents need to coordinate reasoning and action while their environment evolves during inference. We introduce LOLPlay, a benchmark in native \emph{League of Legends} with 36 champion-specific tasks spanning resource management, combat, cooperation, and objectives. Agents interact through screenshots and
First observed Nov 5, 2026 · arXiv
- 7d mentions
- 1 previous 0
- 7d sources
- 1
- 7d growth
- Not comparable
- Priority
- 38 / 100
SQM
arXiv:2611.00447v1 Announce Type: new Abstract: LLM-as-a-judge scores are often distributionally shifted from human ratings on any given evaluation task, and post-hoc calibration (mapping LLM to human scores in a small labeled anchor set) has become a popular method to correct for this shift. In this paper we derive the calibration from two positions: that L
First observed Nov 4, 2026 · arXiv
- 7d mentions
- 1 previous 0
- 7d sources
- 1
- 7d growth
- Not comparable
- Priority
- 38 / 100
Pando
How OpenAI built Pando, a Git-compatible backend designed for the scale of development that Codex makes possible.
First observed Nov 4, 2026 · OpenAI
- 7d mentions
- 1 previous 0
- 7d sources
- 1
- 7d growth
- Not comparable
- Priority
- 38 / 100
StateBench
First observed Nov 4, 2026 · Hugging Face
- 7d mentions
- 1 previous 0
- 7d sources
- 1
- 7d growth
- Not comparable
- Priority
- 38 / 100
People Search by Context.dev
People Search API: Find People by Role, Company & Location
First observed Nov 3, 2026 · Product Hunt
- 7d mentions
- 1 previous 0
- 7d sources
- 1
- 7d growth
- Not comparable
- Priority
- 38 / 100
Synter Canvas
Your AI agent runs ads across 30+ ad platforms
First observed Nov 3, 2026 · Product Hunt
- 7d mentions
- 0 previous 0
- 7d sources
- 0
- 7d growth
- Not comparable
- Priority
- 38 / 100
EaseIn Health
Track GLP-1 doses, symptoms and daily habits in one app
First observed Nov 3, 2026 · Product Hunt
- 7d mentions
- 0 previous 0
- 7d sources
- 0
- 7d growth
- Not comparable
- Priority
- 38 / 100
PinyinBench
arXiv:2611.05803v1 Announce Type: new Abstract: How much phonological knowledge do language models (LMs) possess about Chinese characters, and how is this knowledge represented and used? We introduce PinyinBench, a controlled benchmark covering homophones, phonological features (initials, finals, and tones), and polyphonic characters. We investigate 17 text-
First observed Nov 5, 2026 · arXiv
- 7d mentions
- 1 previous 0
- 7d sources
- 1
- 7d growth
- Not comparable
- Priority
- 38 / 100
HybridSpec
arXiv:2611.04055v1 Announce Type: new Abstract: In speculative decoding, parallel drafters such as DFlash make drafting cheap, so target verification dominates each round. A central choice is the verification length, the number of tokens that the target processes in each round. Verifying more draft tokens can accept more of them, but work after the first rej
First observed Nov 5, 2026 · arXiv
- 7d mentions
- 1 previous 0
- 7d sources
- 1
- 7d growth
- Not comparable
- Priority
- 38 / 100
CARD
arXiv:2611.03651v1 Announce Type: new Abstract: Geometric certificates make mathematical claims about specified estimator objects, while robotic action requires a physical transform, a service decision, and timely proof support. We present CARD, a proof-carrying interface that keeps these objects distinct and records how they combine. Its lifted-fiber formul
First observed Nov 5, 2026 · arXiv
- 7d mentions
- 1 previous 0
- 7d sources
- 1
- 7d growth
- Not comparable
- Priority
- 38 / 100
-
- 7d mentions
- 1 previous 0
- 7d sources
- 1
- 7d growth
- Not comparable
- Priority
- 38 / 100
Recursa
arXiv:2611.04035v1 Announce Type: new Abstract: Foundation models in changing environments can encounter unfamiliar domain knowledge that their original training did not cover. However, new domains rarely provide large amounts of expert-created training data or reliable supervisory signals for further training. We introduce Recursa, a foundation model system
First observed Nov 5, 2026 · arXiv
- 7d mentions
- 1 previous 0
- 7d sources
- 1
- 7d growth
- Not comparable
- Priority
- 38 / 100
MDSD
arXiv:2502.18779v2 Announce Type: replace Abstract: Large Language Models (LLMs) have become an indispensable part of natural language processing tasks. However, autoregressive sampling has become an efficiency bottleneck. Multi-Draft Speculative Decoding (MDSD) is a recent approach where, when generating each token, a small draft model generates multiple dr
First observed Nov 4, 2026 · arXiv
- 7d mentions
- 1 previous 0
- 7d sources
- 1
- 7d growth
- Not comparable
- Priority
- 38 / 100
-
- 7d mentions
- 1 previous 0
- 7d sources
- 1
- 7d growth
- Not comparable
- Priority
- 38 / 100
MagicaLCore
Six kinds of machine learning models, trained on your iPad
First observed Nov 3, 2026 · Product Hunt
- 7d mentions
- 0 previous 0
- 7d sources
- 0
- 7d growth
- Not comparable
- Priority
- 38 / 100
WASP-Mem
arXiv:2611.04003v1 Announce Type: new Abstract: LLM agents struggle to automate complex enterprise procedures because static, pre-built harness cannot capture proprietary policies, undocumented behaviors, or state-dependent recovery paths that surface only during execution. Procedural memory accrued from agent experience offers a training-free path to closin
First observed Nov 5, 2026 · arXiv
- 7d mentions
- 1 previous 0
- 7d sources
- 1
- 7d growth
- Not comparable
- Priority
- 38 / 100