October 2025 — logos-co/nomos: Delivered wallet/transaction infrastructure enhancements, encoding improvements, and KMS preload backend preparation, plus CI workflow cleanup. The work enables more reliable and flexible transaction construction, improved cost estimation, and a clear path to preloaded keys, driving faster delivery cycles, reduced costs, and stronger security posture. Key outcomes include Wallet Service integration with the cryptarchia leader to fetch eligible UTXOs, MantleTxBuilder and fund_tx API, Mantle encoding compatibility updates with signed-size cost prediction, and prep work for a preload backend, while removing cargo-cache steps in CI to streamline tests.

September 2025 focused on delivering a robust wallet subsystem, modularizing leadership responsibilities, and cleaning up CI and branding to improve maintainability and developer experience. The work laid the foundation for scalable, secure wallet operations and cleaner deployment pipelines, while standardizing terminology across the codebase to reduce confusion for users and contributors.

July 2025 monthly summary: Delivered Stake Inference Simulation Notebooks feature in logos-co/nomos-pocs, enabling upload of simulation notebooks for stake inference analysis with visualizations and supporting code to enable reproducible research workflows. The deliverable provides a shareable environment for analyzing stake inference data, accelerating experimentation and collaboration across R&D teams.

June 2025 focused on delivering three core features in logos-co/nomos-pocs, strengthening modeling fidelity, adversarial robustness, and enabling data exploration. No major defects addressed this period as our efforts prioritized feature delivery and foundational tooling. Overall impact includes improved lottery-based stake inference, more robust adversarial analysis, and a reproducible data analysis environment. Technologies demonstrated span Python simulation and inference, parameter tuning for adversarial scenarios, and data science tooling (Jupyter, NumPy, Matplotlib) with clear dependency management.

Month: 2025-05 — Logos Co/nomos-pocs: Focused on advancing Cardano network simulation fidelity and analysis capabilities. Delivered block-time aware simulation with blend network params, refactored parameter handling, enhanced block arrival modeling, and richer logging for reproducibility and sensitivity testing. No major fixes this month; effort concentrated on design, implementation, and validation to de-risk network design choices.

Month: 2025-04 Key features delivered: - Service staking simulation prototype (ServiceNetwork) implemented in a Jupyter notebook for logos-co/nomos-pocs. Built a Python class ServiceNetwork to simulate staking: users stake NMO tokens and receive LP tokens proportionally, manage network rewards, and illustrate how rewards affect new stakers' LP token allocation. Includes visualizations of NMO and LP distributions across staking scenarios. Commit: 09cf15e121b9827743cd06218c8467a502fcfc6b. Major bugs fixed: - No major bugs fixed this month. If any minor fixes occurred, they’re not tracked here. Overall impact and accomplishments: - Created an executable prototype that enables rapid experimentation with staking dynamics, supporting data-driven decisions for tokenomics design and future feature iterations. - Improved transparency and reproducibility through notebook-based demonstrations and commit-traceable experiments. Technologies/skills demonstrated: - Python class design and simulation modeling; Jupyter notebook workflows; data visualization; tokenomics concepts (NMO, LP tokens, staking rewards).

March 2025 monthly summary for logos-co/nomos-pocs highlighting business value and technical achievements driven across the build system, ledger/zone data model, proofs, and swap/tx pipelines. Key improvements centered on reliability, visibility, and performance, with a strong emphasis on reproducible builds, data integrity, and testability. Key features delivered: - RISC0 Images and Build System Cleanups: generated and updated risc0 images, simplified image feature flags, removed legacy scopes, transitioned to reproducible builds, and deprecated risc0-build, reducing build fragility and improving auditability. - Ledger and Zone Mapping Enhancements: migrated zoneid -> ledgerupdate mapping to a BTreeMap, fixed ledger_elf references, implemented an append-only MMR within the ledger, and cleaned cross-zone transfer logic to improve data integrity and traceability. - Mantle Proofs, Proof Images, and TX Data Exposure: refreshed mantle proofs and proof images and exposed transaction data for visibility, testing, and validation scenarios. - Swap transaction structure and related queries: refactored swap handling to use the new tx structure and moved related queries into the tx struct for consistency and easier maintenance. - RISC0 image updates and swap scenarios: updated RISC0 images to latest build references, added swap scenario tests, and introduced a test for creating a swap/pair to broaden coverage. - Supporting items: defined swap goal notes and ensured consumption in the executor tx; STF proof updated to read Swap Args from output data; MMR proof updates via folds; and added a test coverage for amount_out calculation corrections. Major bugs fixed: - Amount out calculation corrected to reflect expected swap behavior. - Fixed ledger_elf reference to ensure correct linking and references across components. - STF and MMR proof updates to address edge cases and ensure testability. Overall impact and accomplishments: - Increased build reliability, reproducibility, and traceability; improved data integrity across cross-zone interactions; and enhanced visibility and testability of critical exchange workflows. These changes lay a stronger foundation for safer releases and faster iteration on swap-related features. Technologies/skills demonstrated: - Rust ownership and data structure optimization (BTreeMap, append-only MMR) - Build tooling and reproducible builds workflow - Proto/tx struct refactoring and query localization - Proof systems and data exposure for testing - End-to-end testing and scenario coverage for swap flows

December 2024 performance summary focused on delivering robust SMT infrastructure and modernizing the ledger-proof pipeline for nomos-pocs, with strong impact on reliability, performance, and maintainability. Key features delivered include a Sparse Merkle Tree (SMT) core with root calculation, inclusion/exclusion proofs, and handling of empty trees, plus pre-computation of empty-tree roots; SMT_ renamed to sparse_ and migrated into the CL workspace. Ledger and Proof System modernization refactored and integrated the ledger into proofs, improved MMR/PTX workflows, and incorporated covenant verification into the PTX proof path, accompanied by workspace/module restructuring and code quality cleanup. Major bugs fixed include an off-by-one error in the SMT implementation and resolving build/clippy issues to achieve a clean, all-green build. Overall impact: more reliable data integrity verification, faster and more scalable proof generation, and a modular, maintainable codebase enabling rapid future feature work. Technologies/skills demonstrated: Rust/CL integration, modular architecture, proof systems (SMT, MMR/PTX), covenant verification integration, and build tooling/quality practices (clippy, refactors).

Month 2024-11: Delivered a focused experimental study on the Cryptarchia fork-choice protocol. Implemented and ran extensive simulation experiments to evaluate fork-choice behavior under varying network conditions and adversary strengths. Produced detailed analyses and visualizations of reorg depths, chain growth, and block efficiency to inform protocol design decisions. Consolidated results into the nomos-pocs repo, enabling data-driven design decisions and faster iteration. All work anchored in logos-co/nomos-pocs with commit 1846b7b82b8f790063d0827210380eb4eb1c921c. No major bugs fixed this month; value came from delivering a reusable experimentation framework and concrete, data-driven insights that enable faster iteration and safer deployments.