Life After Benchmark Saturation: A Case Study of CORE-Bench
Siegel, Arvind Narayanan View a PDF of the paper titled Life After Benchmark Saturation: A Case Study of CORE-Bench, by Nitya Nadgir and 13 other authors View PDF HTML (experimental) Abstract:When a benchmark's accuracy saturates, it is often retired and replaced with a more challenging version. We use CORE-Bench Hard, a benchmark for computational reproducibility of scientific code, as a case study to demonstrate that measuring agents along these dimensions yields meaningful insights into agent performance even after accuracy saturates. First, we surface threats to construct validity in CORE-Bench Hard that are difficult to anticipate with less capable agents.
- ▪Siegel, Arvind Narayanan View a PDF of the paper titled Life After Benchmark Saturation: A Case Study of CORE-Bench, by Nitya Nadgir and 13 other authors View PDF HTML (experimental) Abstract:When a benchmark's accuracy saturates, it is oft
- ▪We use CORE-Bench Hard, a benchmark for computational reproducibility of scientific code, as a case study to demonstrate that measuring agents along these dimensions yields meaningful insights into agent performance even after accuracy satu
- ▪First, we surface threats to construct validity in CORE-Bench Hard that are difficult to anticipate with less capable agents.
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| Original publisher | arXiv.org |
| Canonical URL | https://arxiv.org/abs/2606.26158 |
| Publication time | Fri, 26 Jun 2026 00:00:00 -0400 |
| Retrieval time | 2026-06-26T05:20:40.899Z |
| Last seen | 2026-06-26T05:20:40.899Z |
| Headline source | Publisher (no WeSearch rewrite) |
| Excerpt source | publisher body |
| Excerpt method | First ~120 words (~800 chars) of extracted publisher body, fair-use limited. |
| Summary | WeSearch · cerebras-chat (WeSearch summarizer) |
| Summary source text | contentText |
| Citation coverage | Summary is a WeSearch-generated derivative; primary citation is the original publisher URL. |
| Cluster | fQsgqfpBSW1w |
| Cluster logic | Grouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison. |
| Ranking reason | Story pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking. |
| Publisher visit | Yes — open original |
| Substitutes article? | No — link-out required for full text |
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| AI summary | May WeSearch generate its own short summary of the article? | Limited |
| Retrieval / RAG | May the content be exposed for third-party retrieval-augmented generation? | Not asserted |
| Model training | May the content be used to train AI models? | Not asserted |
| Commercial reuse | May the content be reused commercially? | Not permitted |
Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.
Opening excerpt (first ~120 words) tap to expand
Computer Science > Artificial Intelligence arXiv:2606.26158 (cs) [Submitted on 23 Jun 2026] Title:Life After Benchmark Saturation: A Case Study of CORE-Bench Authors:Nitya Nadgir, Sayash Kapoor, Kangheng Liu, Peter Kirgis, Matilda Orona, Stephan Rabanser, Tilman Bayer, Abhishek Shetty, Yue Ling, Derrick Chan-Sew, Rumi Nakagawa, Saiteja Utpala, Zachary S. Siegel, Arvind Narayanan View a PDF of the paper titled Life After Benchmark Saturation: A Case Study of CORE-Bench, by Nitya Nadgir and 13 other authors View PDF HTML (experimental) Abstract:When a benchmark's accuracy saturates, it is often retired and replaced with a more challenging version.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at arXiv.org.
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