https://hackerpaper.kaipfister.de/p/2511.17649/Collected HN comments and submissions linking this paper.enMon, 02 Nov 2026 11:16:22 GMThttps://news.ycombinator.com/item?id=47946300urn:hackerpapers:submission:2511.17649:47946300Wed, 29 Apr 2026 10:16:32 GMT<p>Show HN: Benchmarking Tangible Interface Understanding in Long-Horizon Tasks</p><p></p><p>1 point; 1 discussion reply on HN. <a href="https://hackerpaper.kaipfister.de/p/2511.17649/">Paper and source history</a>. A submission is not an endorsement.</p>cs.CVhttps://news.ycombinator.com/item?id=47331680urn:hackerpapers:submission:2511.17649:47331680Wed, 11 Mar 2026 04:12:05 GMT<p>Switch: Benchmarking the Handling of TCIs in Long-Horizon Embodied Scenarios</p><p></p><p>1 point; 0 discussion replies on HN. <a href="https://hackerpaper.kaipfister.de/p/2511.17649/">Paper and source history</a>. A submission is not an endorsement.</p>cs.CVhttps://news.ycombinator.com/item?id=47331670urn:hackerpapers:mention:2511.17649:47331670Wed, 11 Mar 2026 04:11:03 GMT<p>Selfless plug here... Some collaborators and I just released a first version of a benchmark we think highlights a critical gap in recent models in understanding causality in the real-world, beyond a physics focus. Everyday environments are rich in tangible control interfaces (TCIs), like, light switches, appliance panels, and embedded GUIs, that are designed for humans and demand commonsense and physics reasoning, but also causal prediction and outcome verification in time and space (e.g., delayed heating, remote lights). SWITCH: Benchmarking Modeling and Handling of Tangible Interfaces in…</p><p><a href="https://hackerpaper.kaipfister.de/p/2511.17649/">Paper and discussion history</a>. A mention is not an endorsement.</p>cs.CV