get_related_intelligence
shallowde.brunosan/arxiv · Verify this server
Live cs.AI/ML/CL/CV/RO paper graph. FTS5 + resolved ArXiv citation links. Use for: arxiv_search_papers("LoRA fine-tuning", has_code_only=True) → Related verticals worth connecting: AI News (mcp.brunosan.de/mcp) — industry reaction to papers Robotics (robotics.mcp.brunosan.de/mcp) — applied robotics papers (cs.RO) Quantum (quantum.mcp.brunosan.de/mcp) — quant-ph research depth Biotech (biotech.mcp.brunosan.de/mcp) — bio-ML and drug discovery papers
2 trials · measured 21 days ago
get_related_intelligence scores 100.0/100 on Vouch's measured behaviour index, from 2 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
- read-only— Heuristically read-only-eligible (readonly-heuristic.ts) and sample-called by the Phase 0 census shallow probe.
Score history
| Day | Score | Tier | Methodology |
|---|---|---|---|
| 2026-09-16 | 100.0 | shallow | v0.2.0 |
Probe evidence
| Probe | Outcomes |
|---|---|
| schema_integrity | pass: 1 |
| sample_call | pass: 1 |
Raw request/response logs are not archived yet — the outcome counts above are drawn directly from every recorded trial.
Embed this score
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[](https://vouch.tools/tools/57c0a351-767d-44ab-90f6-4243817adb8b)