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Vector Space of Cycles

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arXiv:2606. 08202v1 Announce Type: new Abstract: Most statistical and machine learning methods for directed interactions focus on pairwise effects among variables.

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Authors: Moo K. Chung, Anass B. El-Yaagoubi, Hernando Ombao
Released: 2026-06-09 (2mo ago)
Topic: Related to current project
Relation to my work: Read next because Vector Space of Cycles overlaps with clean result "Language-mismatch LoRA SFT on Qwen2.5-7B leaks the trained completion language into bystander directives the model was never trained on, absent under same-language SFT (LOW confidence)", clean result "Training one persona to emit a [ZLT] marker without bystanders adopting it has a one-cell-wide LR x epochs window on Qwen2.5-7B-Instruct (LOW confidence)", clean result "A pretraining-data-poisoned Qwen3-4B backdoor only fires on the exact trigger tokens — paraphrases don't activate it, and base-model similarity to the trigger doesn't predict which inputs fire (MODERATE confidence)". Matching terms: rect, under, rate, compare, project, model. Source: arxiv stat.ML (Machine Learning).
arXiv: 2606.08202

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