TorchCurves
We present TorchCurves, a PyTorch library that treats vector-valued parametric curves as learnable primitives. Its central operation maps batches of scalar inputs to points on curves represented in B-spline or Legendre polynomial bases, with differentiation through both inputs and coefficients. Curve coefficients can be optimized jointly with the surrounding
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- First observed in our collection
- Nov 11, 2026, 12:56 PM UTC
- Earliest cited publication
- Nov 10, 2026, 12:00 AM UTC
- Last observed
- Nov 11, 2026, 1:27 PM UTC
Evidence in the last complete seven days
- Source mentions
- 1 Previous seven days 0
- Distinct sources
- 1 Previous 0
- Comparable growth
- Not comparable
- Ranking appearances
- 0
Collection observations and undated records are separate from dated publication counts. Observed in 7d：0 · 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：2026-11-04 → 2026-11-11 (end excluded) · History 23 days
| Source | Current days | Previous days | Last success |
|---|---|---|---|
| arXiv | 7 | 6 | Nov 11, 2026, 1:30 AM UTC |
| arXiv | 7 | 7 | Nov 11, 2026, 6:15 AM UTC |
| Ask HN | 7 | 7 | Nov 11, 2026, 8:15 AM UTC |
| Ask HN | 7 | 7 | Nov 11, 2026, 7:30 AM UTC |
| Ask HN | 7 | 7 | Nov 11, 2026, 7:30 AM UTC |
| Ask HN | 7 | 7 | Nov 11, 2026, 7:30 AM UTC |
| GitHub | 7 | 7 | Nov 11, 2026, 2:45 AM UTC |
| GitHub Issues | 7 | 7 | Nov 11, 2026, 5:00 AM UTC |
| GitHub Releases | 7 | 7 | Nov 11, 2026, 1:45 AM UTC |
| GitHub | 7 | 7 | Nov 11, 2026, 4:00 AM UTC |
| GitHub Issues | 7 | 7 | Nov 11, 2026, 6:45 AM UTC |
| GitHub Releases | 7 | 7 | Nov 11, 2026, 6:45 AM UTC |
| GitHub | 7 | 7 | Nov 11, 2026, 4:00 AM UTC |
| GitHub Issues | 7 | 7 | Nov 11, 2026, 6:45 AM UTC |
| GitHub Releases | 7 | 7 | Nov 11, 2026, 6:45 AM UTC |
| GitHub Discovery | 6 | 0 | Nov 11, 2026, 7:30 AM UTC |
| GitHub Trending | 7 | 7 | Nov 11, 2026, 9:30 AM UTC |
| 7 | 7 | Nov 11, 2026, 9:15 AM UTC | |
| Hugging Face | 7 | 7 | Nov 11, 2026, 9:15 AM UTC |
| Hugging Face Spaces | 6 | 0 | Nov 11, 2026, 1:15 PM UTC |
| Hacker News | 7 | 7 | Nov 11, 2026, 9:30 AM UTC |
| Hacker News | 7 | 7 | Nov 11, 2026, 7:30 AM UTC |
| Hacker News | 7 | 7 | Nov 11, 2026, 8:15 AM UTC |
| Hacker News | 6 | 0 | Nov 11, 2026, 7:30 AM UTC |
| Show HN | 6 | 0 | Nov 11, 2026, 7:30 AM UTC |
| MIT News | 6 | 7 | Nov 11, 2026, 12:45 AM UTC |
| OpenAI | 7 | 7 | Nov 11, 2026, 12:30 PM UTC |
| Product Hunt | 7 | 7 | Nov 11, 2026, 9:30 AM UTC |
| 量子位 | 5 | 7 | Nov 11, 2026, 12:00 PM UTC |
| OpenRouter | 6 | 0 | Nov 11, 2026, 1:00 PM UTC |
| GitHub Trending | 7 | 7 | Nov 10, 2026, 3:00 PM UTC |
| Hugging Face Models | 6 | 0 | Nov 11, 2026, 1:27 PM UTC |
| HF Daily Papers | 6 | 0 | Nov 11, 2026, 1:27 PM UTC |
| OpenRouter | 6 | 0 | Nov 11, 2026, 1:00 PM UTC |
| Product Hunt | 7 | 7 | Nov 10, 2026, 3:00 PM UTC |
| SEC EDGAR | 7 | 7 | Nov 11, 2026, 12:00 PM UTC |
| Sequoia Capital | 7 | 7 | Nov 11, 2026, 7:30 AM UTC |
| Simon Willison | 6 | 0 | Nov 10, 2026, 4:15 PM UTC |
| TechCrunch | 7 | 7 | Nov 11, 2026, 12:00 PM UTC |
| Contracts Finder | 7 | 7 | Nov 11, 2026, 9:30 AM UTC |
| V2EX | 7 | 7 | Nov 11, 2026, 12:00 PM 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 |
|---|---|---|---|---|
| 2026-10-28 | 0 | 0 | 0 | 0 |
| 2026-10-29 | 0 | 0 | 0 | 0 |
| 2026-10-30 | 0 | 0 | 0 | 0 |
| 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 | 0 | 0 | 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 | 1 | 1 | 0 | 0 |
| 2026-11-11 | 0 | 0 | 1 | 1 |
Source evidence
Sources in the evidence shown：HF Daily Papers 1
HF Daily Papers · Published Nov 10, 2026
TorchCurves: Differentiable Parametric Curves
We present TorchCurves, a PyTorch library that treats vector-valued parametric curves as learnable primitives. Its central operation maps batches of scalar inputs to points on curves represented in B-spline or Legendre polynomial bases, with differentiation through both inputs and coefficients. Curve coefficients can be optimized jointly with the surrounding
Review priority 40 / 100
This score orders research candidates. It is not search volume, a forecast or verified commercial demand.
Evidence
8 / 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
15 / 15Latest publication or first observation, not repeated fetch time.
Name specificity
8.5 / 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.
- Sources behind this term changed or lack a comparable baseline.
- The previous week is too small for a reliable percentage change.
- Current evidence comes from one publisher or owner.