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Earlier sources: Software

Software turns computational ideas into tools and services. This region follows open source projects, developer tools, programming languages, databases, operating systems, and web and cloud platforms.

SYMTRI organizes observations from public sources into a living map. Connections reflect shared subject matter; they do not establish causation or endorse a source.

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2305 classified signals in the fourteen-day window. Recent momentum: steady. These counts include signals awaiting readable evidence.

Earlier sources

Up to ten sources with readable evidence, ordered by their feed timestamp. These archive sources can be older than the live fourteen-day window. This list is a sample, not a measure of total activity. Dates distinguish paper publication, repository creation, model/dataset activity, Hacker News posts, and KEV catalog additions. “First archived” records when SYMTRI first stored the signal.

  1. GitHub · Repository created · First archived

    EduardoSA8006/lucerna ↗

    Shell de desktop para o Hyprland, feito em Quickshell (QML): barra, painéis, launcher, notificações, papel de parede animado, captura e gravação de tela, visão geral dos workspaces e configurações completas. Tudo em português.

  2. arXiv · Published · First archived

    Load Balancing with Partial Queue Information - Threshold Optimality and Indexability ↗

    We consider the problem of load balancing in a system with one dispatcher and $N$ parallel servers. The dispatcher must select one server to dispatch new jobs at every time-step and each server buffers incoming jobs in a queue. However, the dispatcher does not know the servers' backlogs and must make dispatching decisions based on previous observations. The dispatcher's objective is to dispatch jobs to the shortest queue. This problem can be formulated as a restless multi-arm bandit (RMAB) problem where each arm's state is its corresponding belief vector. Our goal is to verify Whittle indexabi…

  3. arXiv · Published · First archived

    From Agent Output to Authorized Transition ↗

    Agentic engineering systems can edit repositories, run tools and tests, build firmware, synthesize schematics, and prepare deployable or manufacturable artifacts. The assurance problem is therefore shifting from whether an agent can produce an output to whether an engineering lifecycle is justified in acting on claims about that output. Current products and standards provide sandboxes, approvals, hooks, traces, policy enforcement, attestations, bills of materials, and assurance representations, but these capabilities remain fragmented. This paper presents the Agile-V Assurance Spine, a cross-d…

  4. GitHub · Repository created · First archived

    emnlmn/snap ↗

    Typed decisions from unstructured state: one forward pass, zero generated text. Local, deterministic, Jev-compatible. Not affiliated with typesafe.ai.

  5. arXiv · Published · First archived

    Scenario-Driven Neuroevolution: Using Models to Guide Test Generation for Games ↗

    Automatically generating test inputs for games is challenging, as test generators must master the game to reach advanced program states while also ensuring robustness against the heavy program randomisation inherent to games. The test generator Neatest therefore optimises test suites consisting of neural networks that reach advanced program states and are robust to program randomisation, as they generate test inputs dynamically based on the current program state. Neatest is a white-box testing approach that aims to generate a network agent for each yet-uncovered statement or branch of the code…

  6. GitHub · Repository created · First archived

    mikehasa/golive-skill ↗

    Take your agent-built product live: hosting, database, domain, email, payments — on your own accounts. Open-source Agent Skill + zero-dependency Node CLI: detect → plan → approve → apply → verify. No GoLive account, backend or telemetry.

  7. GitHub · Repository created · First archived

    ormeilu/avoid-ai-writing-russian ↗

    Скилл для ИИ-агентов и CLI на TypeScript/Bun: находит и убирает ИИ-стиль в русских текстах (канцелярит, кальки, штампы), проверяет сохранность правки и оценивает текст по фрагментам в духе «Антиплагиата» с калибровкой по вашим отчётам. Русская адаптация avoid-ai-writing.

  8. arXiv · Published · First archived

    Can LLMs Catch a Rigged Backtest? A Clean-Control Calibration Benchmark ↗

    Backtest auditing is a calibration problem: high flaw recall is not useful when the model falsely flags matched clean strategies. We build a 96-item paired benchmark in which every flawed backtest has a clean control that holds strategy, dates, code style, labels, and reporting scaffold fixed while changing one methodology detail. A deterministic scorer separates flaw recall, clean-control false positives, evidence localization, and fix relevance. Over 1440 cached audits from four text endpoints, the primary DeepSeek auditor reaches 100.0\% closed and clean-aware code recall, but open prompts…

  9. GitHub · Repository created · First archived

    areniya/FNCache ↗

    FNCache is an eBPF-based network acceleration plugin for Kubernetes container networks.

  10. arXiv · Published · First archived

    LLM-Assisted Workflow for Structural Difference Visualization in Evolving Software Requirements ↗

    This paper presents an LLM-assisted workflow for visualizing structural differences in evolving software require- ments. Implemented in the OntologyWeb environment, the work- flow represents baseline and current requirements as triple-based semantic graphs and supports side-by-side comparison of curated graph snapshots. The comparison view aligns matched entities and uses visual encoding to highlight structural changes.

Live window recorded . This is the ingestion observation time, not the publication or discovery date of each source.

How to assess evidence about Software

Check each original source for its methods, release status, limitations, and supporting data. A repository announcement, a preprint, and a published study provide different kinds of evidence. SYMTRI’s subject classification helps discovery; it does not independently validate the source’s claims.

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These navigation suggestions are part of the map’s editorial structure, rather than measured evidence of a connection.