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Tags:
artificial-intelligence
recursive-self-improvement
continual-learning
representation-learning
world-models
cognitive-architecture
File size: 5,014 Bytes
1c1abed | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 | {
"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."
}
]
} |