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Graph Update: pip in /. #1482564138
Dependency Graph
#2:
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main
main
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modenexus 0.2.0
Publish to PyPI
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alanoursland
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Publish to PyPI
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#2:
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claude/dnnf-logic-library-3nb814
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Publish to PyPI
Publish to PyPI
#1:
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claude/dnnf-logic-library-3nb814
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Plan the undergraduate tutorial series
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#24:
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Add experimental dtree heuristic (recursive min-cut bisection, MEXEC …
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#23:
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Unify planner with observables: one circuit for estimation and planning
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#22:
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Add serialization with single-allocation header and MEXEC-style planning
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#21:
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Cite the record plainly: drop personal-priority framing from attribution
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#20:
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Attribute the neg-log reading to Darwiche & Marquis explicitly
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#19:
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Make JOSS submission ready: full paper.md with citations + paper.bib
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#18:
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Add VOI queries, min-cardinality diagnoses, c2d driver, JOSS packaging
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Make the FD compiler iterative: no recursion-depth ceiling
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#16:
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Remove per-layer prefix concatenation from the torch evaluator
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#15:
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Add compiled joint transition relations via prev-slice variables
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#14:
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Draft paper 1: Exact Responsibilities (implicit-EM companion)
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#13:
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Add lab report for the implicit-EM verification experiments
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#12:
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#11:
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Add executable companion tests for 'Gradient Descent as Implicit EM'
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#10:
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Soft (virtual) evidence and neural observation-model training
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#9:
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Intern clauses in the FD compiler: 4.5-6x faster compiles, same circuits
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#8:
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Model zoo and scale study: car diagnosis, adders, process lines
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#7:
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Gradient prior learning (torch) and correlated tracker dynamics
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#6:
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Add exact sampling, EM prior learning, command-conditioned transitions
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#5:
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QSIM cascaded-tanks experiment: compiled qualitative envisionment
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