PISA
arXiv:2611.10193v1 Announce Type: new Abstract: Large language models (LLMs) increasingly support Web-based services that must balance response quality and inference cost across heterogeneous requests. Conventional routing selects one model per prompt, while fixed ensembles cannot adapt their composition and cost to individual requests. We introduce PISA, a
This explanation quotes or summarizes the cited source record. Saving creates a bookmark on this device, with no automatic account sync.
- First observed in our collection
- Nov 11, 2026, 1:30 AM UTC
- Earliest cited publication
- Nov 6, 2026, 12:00 AM UTC
- Last observed
- Nov 13, 2026, 1:17 AM UTC
Evidence in the last complete seven days
- Source mentions
- 0 Previous seven days 1
- Distinct sources
- 0 Previous 1
- Comparable growth
- Not comparable
- Ranking appearances
- 2
Collection observations and undated records are separate from dated publication counts. Observed in 7d:1 · Undated records:0
Collection coverage · Comparable windowsCurrent / previous observed days 7 / 7
Counts use complete UTC days. First observed means first seen by this collection, not when a term was coined.
Current window:2026-11-07 → 2026-11-14 (end excluded) · History 26 days
| Source | Current days | Previous days | Last success |
|---|---|---|---|
| arXiv | 6 | 6 | Nov 14, 2026, 3:19 AM UTC |
| arXiv | 7 | 7 | Nov 13, 2026, 2:52 PM UTC |
| Ask HN | 7 | 7 | Nov 14, 2026, 3:19 AM UTC |
| Ask HN | 7 | 7 | Nov 14, 2026, 3:19 AM UTC |
| Ask HN | 7 | 7 | Nov 14, 2026, 3:19 AM UTC |
| Ask HN | 7 | 7 | Nov 14, 2026, 3:19 AM UTC |
| GitHub | 7 | 7 | Nov 14, 2026, 3:19 AM UTC |
| GitHub Issues | 7 | 7 | Nov 14, 2026, 3:19 AM UTC |
| GitHub Releases | 7 | 7 | Nov 14, 2026, 3:19 AM UTC |
| GitHub | 7 | 7 | Nov 14, 2026, 3:19 AM UTC |
| GitHub Issues | 7 | 7 | Nov 14, 2026, 3:19 AM UTC |
| GitHub Releases | 7 | 7 | Nov 14, 2026, 3:19 AM UTC |
| GitHub | 7 | 7 | Nov 14, 2026, 3:19 AM UTC |
| GitHub Issues | 7 | 7 | Nov 14, 2026, 3:19 AM UTC |
| GitHub Releases | 7 | 7 | Nov 14, 2026, 3:19 AM UTC |
| GitHub Discovery | 7 | 2 | Nov 14, 2026, 3:19 AM UTC |
| GitHub Trending | 7 | 7 | Nov 14, 2026, 3:20 AM UTC |
| 7 | 7 | Nov 13, 2026, 8:38 AM UTC | |
| Hugging Face | 6 | 7 | Nov 12, 2026, 9:30 AM UTC |
| Hugging Face Spaces | 7 | 2 | Nov 13, 2026, 1:17 AM UTC |
| Hacker News | 7 | 7 | Nov 14, 2026, 3:19 AM UTC |
| Hacker News | 7 | 7 | Nov 14, 2026, 3:20 AM UTC |
| Hacker News | 7 | 7 | Nov 13, 2026, 9:06 PM UTC |
| Hacker News | 7 | 2 | Nov 14, 2026, 3:19 AM UTC |
| Show HN | 7 | 2 | Nov 14, 2026, 3:19 AM UTC |
| MIT News | 6 | 7 | Nov 13, 2026, 1:16 AM UTC |
| OpenAI | 7 | 7 | Nov 13, 2026, 8:38 AM UTC |
| Product Hunt | 7 | 7 | Nov 14, 2026, 3:20 AM UTC |
| 量子位 | 6 | 6 | Nov 13, 2026, 8:38 AM UTC |
| OpenRouter | 7 | 2 | Nov 14, 2026, 3:20 AM UTC |
| GitHub Trending | 6 | 7 | Nov 12, 2026, 4:00 AM UTC |
| Hugging Face Models | 7 | 2 | Nov 13, 2026, 1:17 AM UTC |
| HF Daily Papers | 6 | 2 | Nov 13, 2026, 1:17 AM UTC |
| OpenRouter | 7 | 2 | Nov 14, 2026, 3:20 AM UTC |
| Product Hunt | 6 | 7 | Nov 12, 2026, 4:00 AM UTC |
| SEC EDGAR | 7 | 7 | Nov 14, 2026, 3:19 AM UTC |
| Sequoia Capital | 7 | 7 | Nov 13, 2026, 8:38 AM UTC |
| Simon Willison | 7 | 2 | Nov 13, 2026, 8:38 AM UTC |
| TechCrunch | 7 | 7 | Nov 14, 2026, 3:19 AM UTC |
| Contracts Finder | 7 | 7 | Nov 13, 2026, 9:06 PM UTC |
| V2EX | 7 | 7 | Nov 13, 2026, 1:00 AM UTC |
- Counts describe monitored public sources, not the whole web or search demand.
Daily history · up to 90 days
Bars show dated source mentions. The latest UTC day may be incomplete. Zero mentions and missing collection coverage are different conditions.
View accessible daily data
| UTC date | Mentions | Sources | Observations | Ranking appearances |
|---|---|---|---|---|
| 2026-10-31 | 0 | 0 | 0 | 0 |
| 2026-11-01 | 0 | 0 | 0 | 0 |
| 2026-11-02 | 0 | 0 | 0 | 0 |
| 2026-11-03 | 0 | 0 | 0 | 0 |
| 2026-11-04 | 0 | 0 | 0 | 0 |
| 2026-11-05 | 0 | 0 | 0 | 0 |
| 2026-11-06 | 1 | 1 | 0 | 0 |
| 2026-11-07 | 0 | 0 | 0 | 0 |
| 2026-11-08 | 0 | 0 | 0 | 0 |
| 2026-11-09 | 0 | 0 | 0 | 0 |
| 2026-11-10 | 0 | 0 | 0 | 0 |
| 2026-11-11 | 0 | 0 | 1 | 0 |
| 2026-11-12 | 0 | 0 | 0 | 1 |
| 2026-11-13 | 0 | 0 | 0 | 1 |
| 2026-11-14 | 0 | 0 | 0 | 0 |
Source evidence
Sources in the evidence shown:arXiv 1
arXiv · Published Nov 6, 2026
Ensemble Routing for Prompt-Adaptive Cost-Aware LLM Inference
arXiv:2611.10193v1 Announce Type: new Abstract: Large language models (LLMs) increasingly support Web-based services that must balance response quality and inference cost across heterogeneous requests. Conventional routing selects one model per prompt, while fixed ensembles cannot adapt their composition and cost to individual requests. We introduce PISA, a
View source record →
Review priority 41 / 100
This score orders research candidates. It is not search volume, a forecast or verified commercial demand.
Evidence
12.7 / 30Distinct dated articles or first observations; repeat crawling adds nothing.
Publisher diversity
8 / 25Conservative owner grouping; syndicated copies count once.
Comparable change
0 / 20Comparable complete weeks only; no percentage from a zero baseline.
Recent evidence
11.7 / 15Latest publication or first observation, not repeated fetch time.
Name specificity
8.3 / 10Explicit entities and technical concepts outrank ambiguous acronyms.
Limitations and interpretation
- First observation is a collection milestone, not proof that a word or product is new to the world.
- Counts describe monitored public sources, not the whole web or search demand.
- First observed here is not the invention date of a name or idea.
- Candidates come from public titles, summaries and entity URLs, not verified full-text analysis.
- Owner grouping is conservative; undisclosed syndication may remain.
- Repeat ranking appearances are observations, not new articles or independent endorsements.
- Recent evidence includes collection over three days after publication.
- The previous week is too small for a reliable percentage change.
- Current evidence comes from one publisher or owner.