- Rename 'three-pronged' folder to 'knowledge-layers' — prong metaphor
was misleading (implied parallel tines), replaced with epistemic layers
(deductive base, empirical middle, probabilistic oracle — vertical stack)
- Collapse 11 overlapping files into 3 coherent documents:
- knowledge-layers/_index.org: core framework (two engines + one store,
World Model formula, 0-14 layer table, provenance store design,
conflict resolution, cold-start, stage mapping)
- knowledge-layers/practical-implications.org: design-world-aware-of-
physics, 10 powers, Schafmeister existence proof, epistemic transparency
- knowledge-layers/neurological-empirical.org: neural networks in
provenance framework (kept intact)
- Relocate wolfram/mathematica and Schafmeister docs to ideas/viability/
- Integrate into main architecture _index.org:
- Gate: expanded from two vectors (ACL2+LLM) to three (deductive,
provenance/empirical, LLM oracle)
- Autodidactic loop: split into Track 1 (deductive hardening, fast)
and Track 2 (empirical validation, slow, experimental-feedback-driven)
- See also: added Knowledge Layers cross-reference
- Add all-lisp geometry engine note (ideas/lisp-geometry-engine.org) as
concrete illustration of the empirical layer's effect on design work
- Rebuild site: 148 files, 0 errors
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Neurosymbolic AI
Local library of recent neurosymbolic AI papers, updated monthly from arXiv. Papers are downloaded in PDF format and cataloged below.
See also the companion note Neurosymbolic Loop Architectures for a design taxonomy that positions these papers relative to Passepartout.
2026 Papers
| arXiv ID | Title | Date | Keywords | File |
|---|---|---|---|---|
| 2605.22885 | ImProver 2: Iteratively Self-Improving LMs for Neurosymbolic Proof Optimization | May 2026 | LLM, theorem proving, proof optimization, self-improvement | papers/2605.22885.pdf |
| 2605.22874 | NeuroNL2LTL: Neurosymbolic Framework for NL Translation of LTL | May 2026 | NL translation, LTL, formal logic | papers/2605.22874.pdf |
| 2605.10327 | SCALAR: Symbolic Conjecture and LLM-Assisted Reasoning | May 2026 | Conjecture generation, theorem proving, LLM | papers/2605.10327.pdf |
| 2605.10279 | DeepLog: Neurosymbolic Framework Unifying Logic and Deep Learning in PyTorch | May 2026 | Logic, deep learning, PyTorch, neurosymbolic | papers/2605.10279.pdf |
| 2605.08011 | LLM + Formal Logic Integration for Neurosymbolic Reasoning | May 2026 | Survey, formal logic, LLM, neurosymbolic reasoning | papers/2605.08011.pdf |
| 2605.01430 | Measuring Understanding in Artificial Cognitive Systems | May 2026 | Verification, cognitive systems, neurosymbolic | papers/2605.01430.pdf |
| 2605.26169 | ESBMC: Survey of Formal Software Verification | May 2026 | Formal verification, bounded model checking, SMT | papers/2605.26169.pdf |
| 2604.05427 | LLM Verification Gates for Robot Task Planning | Apr 2026 | Gates, verification, robotics, LLM | papers/2604.05427.pdf |
| 2604.04177 | Formal Logic in LLM Fact-Checking Pipelines | Apr 2026 | Fact-checking, logic, verification | papers/2604.04177.pdf |
| 2604.23377 | The Alignment Problem in Neurosymbolic Systems | Apr 2026 | Alignment, concept-label correspondence, neurosymbolic | papers/2604.23377.pdf |
| 2603.14628 | LLM Neurosymbolic Reasoning in Theorem Proving | Mar 2026 | Theorem proving, LLM, neurosymbolic | papers/2603.14628.pdf |
| 2603.04019 | Fluid Logic: Neurosymbolic Modal Reasoning | Mar 2026 | Modal logic, neurosymbolic, reasoning | papers/2603.04019.pdf |
Related Neuromorphic Architecture Papers
| arXiv ID | Title | Date | Keywords | File |
|---|---|---|---|---|
| 2604.04605 | Benchmarking Neuromorphic AI Processors | Apr 2026 | Neuromorphic, benchmarking, hardware | (not yet downloaded) |
| 2604.21924 | Spiking Neural Network Optimization | Apr 2026 | SNN, optimization, neuromorphic | (not yet downloaded) |
How the Monthly Update Works
A monthly cron job (set on 2026-05-27) runs on the 1st of each month:
- Queries arXiv API for new papers with keywords: neurosymbolic, neural+symbolic+reasoning, LLM+verification, neural+theorem+proving
- Filters by the current month's submissions
- Downloads PDFs of relevant papers
- Updates this index
- Commits and pushes the brain repo