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Research2026-07-14 · source-backed
Logistic-regression probes on a coding agent's hidden states can decode whether code will parse and pass tests at AUC up to 0.83, and those internal representations run ahead of the agent's own edits, predicting outcomes as much as 25 steps in advance (arXiv). The authors call it a latent programming horizon, and the probes transferred across two models and two benchmarks without retraining. The practical hook: if the agent internally represents a doomed trajectory before it finishes writing it, you could probe and early-stop bad runs instead of paying for the full failure. Interpretability that's actually actionable, which is rarer than the papers suggest.
Each link below shares sources, entities, or timing with this story.
Shared entity: Coding / Same source domain / Shared topic / Earlier coverage
Both cover Coding; reported by the same outlet (arxiv.org); overlapping topics (agent, benchmark, coding).
Both cover Coding; reported by the same outlet (arxiv.org); overlapping topics (agent, benchmark, coding).
Both cover Coding; reported by the same outlet (arxiv.org); overlapping topics (agent, coding).
Both cover Coding; reported by the same outlet (arxiv.org); overlapping topics (agent, code).
Shared entity: Coding / Shared topic / Earlier coverage
Both cover Coding; overlapping topics (actually, agent, code, coding); earlier Coding coverage from 2026-06-28.
Same source domain / Shared topic / Tension
Reported by the same outlet (arxiv.org); overlapping topics (agent, call, code, coding); pushes against this story (against).
Reported by the same outlet (arxiv.org); overlapping topics (actually, agent, code, coding); pushes against this story (but).
Same source domain / Shared topic
Reported by the same outlet (arxiv.org); overlapping topics (actually, agent, benchmark, code, coding).