arxiv_entity_trend
shallowde.brunosan/arxiv · Verify this server
How often is an entity mentioned over time? Shows the rise (or fall) of a benchmark, model, method, or dataset across the research literature — per month, quarter, or year. Example: 'LoRA' — watch it explode in 2023-2024. Example: 'BERT' — watch it decline as LLMs dominate. Args: entity_name: Entity to track, e.g. 'LoRA', 'MMLU', 'RAG', 'GPT-4' granularity: Time grouping: month (default), quarter, year
1 trials · measured 21 days ago
arxiv_entity_trend scores 100.0/100 on Vouch's measured behaviour index, from 1 real invocation trials against de.brunosan/arxiv, measured 16 Sept 2026 under methodology v0.2.0. Every measured component scored 100.
Component breakdown
| Component | Weight | Value |
|---|---|---|
| Reliability | 35% | not applicable |
| Schema integrity | 25% | 100.0 |
| Failure behaviour | 15% | not applicable |
| Latency | 15% | not applicable |
| Concurrency | 10% | not applicable |
Tool details
- Transport
- remote
- Credential class
- open
- Input schema
- not declared
- Output schema
- not declared
- Side-effect classification
- unclassified
Score history
| Day | Score | Tier | Methodology |
|---|---|---|---|
| 2026-09-16 | 100.0 | shallow | v0.2.0 |
Probe evidence
| Probe | Outcomes |
|---|---|
| schema_integrity | pass: 1 |
Raw request/response logs are not archived yet — the outcome counts above are drawn directly from every recorded trial.
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[](https://vouch.tools/tools/3eda2107-d485-4b1e-9ecd-f7f9f5cff27f)