docs/references.json

{
  "searched_through": "2026-10-07",
  "scope": "Primary-source research search, not exhaustive priority clearance",
  "sources": [
    {
      "key": "amato",
      "title": "Observational Completeness on Abstract Interpretation",
      "authors": "Gianluca Amato; Francesca Scozzari",
      "year": 2011,
      "url": "https://www.sci.unich.it/~amato/papers/fi11.pdf",
      "relevance": "Least observation-preserving abstract domains; hosted PDF has a later template date."
    },
    {
      "key": "fcc",
      "title": "Function-Correcting Codes",
      "authors": "Andreas Lenz; Rawad Bitar; Antonia Wachter-Zeh; Eitan Yaakobi",
      "year": 2021,
      "url": "https://arxiv.org/abs/2102.03094",
      "relevance": "Revised 2023; protects function evaluation rather than the full message."
    },
    {
      "key": "functional",
      "title": "Functional observability and target state estimation in large-scale networks",
      "authors": "Arthur N. Montanari; Chao Duan; Luis A. Aguirre; Adilson E. Motter",
      "year": 2022,
      "url": "https://arxiv.org/abs/2201.07256",
      "relevance": "Reconstruction of selected state functions."
    },
    {
      "key": "kanerva",
      "title": "The Kanerva Machine: A Generative Distributed Memory",
      "authors": "Yan Wu; Greg Wayne; Alex Graves; Timothy Lillicrap",
      "year": 2018,
      "url": "https://arxiv.org/abs/1804.01756",
      "relevance": "Generative distributed memory precedent."
    },
    {
      "key": "regenerating",
      "title": "Network Coding for Distributed Storage Systems",
      "authors": null,
      "year": 2007,
      "url": "https://arxiv.org/abs/cs/0702015",
      "relevance": "Distributed storage repair precedent."
    },
    {
      "key": "dreamcoder",
      "title": "DreamCoder: Growing generalizable, interpretable knowledge with wake-sleep Bayesian program learning",
      "authors": "Kevin Ellis et al.",
      "year": 2020,
      "url": "https://arxiv.org/abs/2006.08381",
      "relevance": "Executable abstraction-library learning."
    },
    {
      "key": "stitch",
      "title": "Top-Down Synthesis for Library Learning",
      "authors": "Matthew Bowers et al.",
      "year": 2022,
      "url": "https://arxiv.org/abs/2211.16605",
      "relevance": "Stitch; published POPL 2023."
    },
    {
      "key": "babble",
      "title": "babble: Learning Better Abstractions with E-Graphs and Anti-Unification",
      "authors": "David Cao; Rose Kunkel; Chandrakana Nandi; Max Willsey; Zachary Tatlock; Nadia Polikarpova",
      "year": 2022,
      "url": "https://arxiv.org/abs/2212.04596",
      "relevance": "Equational-theory library learning; POPL 2023."
    },
    {
      "key": "learnabst",
      "title": "Learning Abstractions for Program Synthesis",
      "authors": "Xinyu Wang; Greg Anderson; Isil Dillig; K. L. McMillan",
      "year": 2018,
      "url": "https://arxiv.org/abs/1804.04152",
      "relevance": "Learning abstract domains and transformers."
    },
    {
      "key": "predicate",
      "title": "Continual learning and refinement of causal models through dynamic predicate invention",
      "authors": "Enrique Crespo-Fernandez; Oliver Ray; Telmo de Menezes e Silva Filho; Peter Flach",
      "year": 2026,
      "url": "https://arxiv.org/abs/2602.17217",
      "relevance": "Online symbolic causal model repair and reusable concept invention."
    },
    {
      "key": "allmem",
      "title": "All-Mem: Agentic Lifelong Memory via Dynamic Topology Evolution",
      "authors": "Can Lv et al.",
      "year": 2026,
      "url": "https://arxiv.org/abs/2603.19595",
      "relevance": "Explicit Split/Merge/Update; non-destructive evidence preservation."
    },
    {
      "key": "cocycles",
      "title": "Asynchronous Algorithmic Alignment With Cocycles",
      "authors": null,
      "year": 2024,
      "url": "https://proceedings.mlr.press/v231/dudzik24a.html",
      "relevance": "Cocycles in algorithmic machine learning."
    },
    {
      "key": "dgm",
      "title": "Darwin Gödel Machine: Open-Ended Evolution of Self-Improving Agents",
      "authors": null,
      "year": 2025,
      "url": "https://arxiv.org/abs/2505.22954",
      "relevance": "Self-modifying agent exploration."
    },
    {
      "key": "dreamrsi",
      "title": "Dream-RSI: Recursive Self-Improvement through Evolving Worlds",
      "authors": "Tong Zheng et al.",
      "year": 2026,
      "url": "https://arxiv.org/abs/2609.14858",
      "relevance": "v2 revised 6 October 2026; replay-simulator exploration-policy improvement."
    },
    {
      "key": "koopman",
      "title": "Koopman invariant subspaces and finite linear representations of nonlinear dynamical systems for control",
      "authors": "Steven L. Brunton; Bingni W. Brunton; Joshua L. Proctor; J. Nathan Kutz",
      "year": 2015,
      "url": "https://arxiv.org/abs/1510.03007",
      "relevance": "Finite invariant latent representations and their limitations; journal publication 2016."
    }
  ]
}