MeshTok uses AMR-inspired adaptive multiscale tokenization to improve the efficiency-accuracy trade-off of Transformer models for PDEs over uniform-grid baselines.
A sur- vey of constraint formulations in safe reinforcement learning
4 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
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2026 4verdicts
UNVERDICTED 4representative citing papers
FastPano3D generates high-fidelity 3D Gaussian scenes from a single panoramic image via feed-forward inference, claimed 156x faster than prior methods with half the parameters.
CAPRA is a multi-agent LLM system with evidence anchoring and consistency checking that analyzes software architecture deliverables and meets 88.8% of an eight-criterion evaluation on 10 student reports.
A literature review that defines silent physical-action failures in Physical AI and identifies the lack of complete runtime authorization boundaries across surveyed technical streams.
citing papers explorer
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MeshTok: Efficient Multi-Scale Tokenization for Scalable PDE Transformers
MeshTok uses AMR-inspired adaptive multiscale tokenization to improve the efficiency-accuracy trade-off of Transformer models for PDEs over uniform-grid baselines.
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FastPano3D: Feed-Forward Indoor Panoramic 3D Reconstruction from a Single Image
FastPano3D generates high-fidelity 3D Gaussian scenes from a single panoramic image via feed-forward inference, claimed 156x faster than prior methods with half the parameters.
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CAPRA: Scaling Feedback on Software Architecture Deliverables with a Multi-Agent LLM System
CAPRA is a multi-agent LLM system with evidence anchoring and consistency checking that analyzes software architecture deliverables and meets 88.8% of an eight-criterion evaluation on 10 student reports.
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Silent Failures in Physical AI: A Literature Review of Runtime Action Authorization for Autonomous Systems
A literature review that defines silent physical-action failures in Physical AI and identifies the lack of complete runtime authorization boundaries across surveyed technical streams.