Source record

Published by arXiv cs.HC (T1 source). The original is at https://arxiv.org/abs/2608.28907.

Pipeline notes

The summary and note below are generated by the signal pipeline — they are Beyond Desk’s reading, not quotations from the source.

Provenance-aware pipeline merges system telemetry and human-authored reports into a shared typed task-state representation for human-AI task handover. Evaluation on 13 paired task states in a controlled spatial environment shows structured reconciliation preserves more task-state utility than either source alone, and incurs less misinformation than an end-to-end LLM given the same inputs.

Empirical comparison showing raw LLM handover introduces measurable misinformation; a design pattern worth borrowing when delegating state to agents.

Cited by

No citations on record.