ScienceTrace

Could Time Travel Be Possible? New 2026 Physics Research Explores Messages From the Future

New 2026 physics research explores whether information could travel backward through noisy closed timelike curves. The mathematics is fascinating, but no time machine exists, and other studies suggest wormholes may be too unstable to build one.

A Dynamics-Informed Machine Learning Framework for Reconstruction of Incomplete Multivariate Time Series

ScienceTrace Special Report | Machine Learning • Dynamical Systems • Data Reconstruction

Can We Control AI? The Real Challenge of Keeping Humans in Control

ScienceTrace Special Report | AI Safety • Alignment • Human Oversight

Stop Using Your ISP’s Default DNS: How to Switch to a Private DNS

What private DNS really protects, what it does not, how to measure resolvers on your own connection, and how to set it up on a phone or router without overstating the benefits.

The Instruction Provenance Problem in Autonomous AI Agents

ScienceTrace Research Proposal | Autonomous AI agents that read external content and call tools face a structural blind spot: they cannot reliably tell an instruction from their authorized user apart from one hidden inside content they merely read. We define this instruction provenance problem and propose Provenance-Bound Instruction Graphs (PBIG), a lineage-tracking framework for gating agent actions on instruction origin rather than content alone.

Where Should a Reasoning Model Spend Its Thinking? A Proposed Uncertainty-Adaptive Test-Time Compute System

ScienceTrace Research Proposal | We propose UARCS, an inference-time system that allocates a fixed test-time compute budget across a reasoning trajectory using step-level calibrated uncertainty, rather than spending it uniformly or after the fact.