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| Format: | Preprint |
| Veröffentlicht: |
2026
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| Online-Zugang: | https://arxiv.org/abs/2602.00093 |
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| _version_ | 1866912863687278592 |
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| author | Malinovskiy, Anton |
| author_facet | Malinovskiy, Anton |
| contents | Feature flags are the primary mechanism for safely introducing financial capabilities in consumer applications. In crypto-enabled live streaming, however, naive rollouts can create non-obvious risk: users may be exposed to onramps without proper eligibility, external wallets without sufficient fraud controls, or advanced views that alter risk perception and behavior. This paper introduces a novel invention candidate, a Counterfactual Invariant Envelope governor that combines a safety lattice with causal measurement and a shadow cohort for risk estimation. We formalize rollout risk, define invariant constraints across feature combinations, and propose a controller that adapts exposure using leading abuse signals, compliance readiness, and revenue guardrails. We incorporate real-world adoption and fraud data for calibration, provide formulas for rollout safety, and include reproducible policy snippets. The results show that counterfactual, invariant-aware governance reduces risk spillover while preserving conversion and retention, offering a path to patentable governance logic for financial UX. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2602_00093 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | Counterfactual Invariant Envelopes for Financial UX: Safety-Lattice Feature-Flag Governance in Crypto-Enabled Streaming Malinovskiy, Anton Human-Computer Interaction Cryptography and Security Feature flags are the primary mechanism for safely introducing financial capabilities in consumer applications. In crypto-enabled live streaming, however, naive rollouts can create non-obvious risk: users may be exposed to onramps without proper eligibility, external wallets without sufficient fraud controls, or advanced views that alter risk perception and behavior. This paper introduces a novel invention candidate, a Counterfactual Invariant Envelope governor that combines a safety lattice with causal measurement and a shadow cohort for risk estimation. We formalize rollout risk, define invariant constraints across feature combinations, and propose a controller that adapts exposure using leading abuse signals, compliance readiness, and revenue guardrails. We incorporate real-world adoption and fraud data for calibration, provide formulas for rollout safety, and include reproducible policy snippets. The results show that counterfactual, invariant-aware governance reduces risk spillover while preserving conversion and retention, offering a path to patentable governance logic for financial UX. |
| title | Counterfactual Invariant Envelopes for Financial UX: Safety-Lattice Feature-Flag Governance in Crypto-Enabled Streaming |
| topic | Human-Computer Interaction Cryptography and Security |
| url | https://arxiv.org/abs/2602.00093 |