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Module Checkpoints

Page Maps

graph LR
  family["Reproducible Research"]
  program["Deep Dive DVC"]
  section["Guides"]
  page["Module Checkpoints"]
  capstone["Capstone evidence"]

  family --> program --> section --> page
  page -.applies in.-> capstone
flowchart LR
  orient["Orient on the page map"] --> read["Read the main claim and examples"]
  read --> inspect["Inspect the related code, proof, or capstone surface"]
  inspect --> verify["Run or review the verification path"]
  verify --> apply["Apply the idea back to the module and capstone"]

Use this page when you are about to move on and want an honest readiness bar. Reading a module once is not the same thing as being ready for the next one. These checkpoints are meant to tell you whether the next module will build on stable understanding or on vague recognition.

How to use this page

For each module:

  1. answer the checkpoint question without looking at the text
  2. run the listed proof or inspection route
  3. stop if you still cannot explain the result in plain language

If you need to reread, reread the narrowest lesson that matches the gap instead of the whole module.

Readiness table

Module You are ready to move on when you can explain... Quick proof or inspection route Go back when...
Module 01 why rerunning commands is weaker than explicit state contracts Capstone Guide or make PROGRAM=reproducible-research/deep-dive-dvc capstone-tour you are still treating "it runs again" as the whole reproducibility story
Module 02 what makes state durable instead of path-shaped make PROGRAM=reproducible-research/deep-dive-dvc capstone-verify you cannot distinguish workspace files, cache objects, remote-backed state, and lockfile records
Module 03 why execution environment belongs in the state model make PROGRAM=reproducible-research/deep-dive-dvc capstone-verify your explanation of reproducibility still ignores toolchain and runtime context
Module 04 how dvc.yaml and dvc.lock tell different but compatible stories make PROGRAM=reproducible-research/deep-dive-dvc capstone-repro you can read a stage but cannot say whether its edge is truly declared
Module 05 which params and metrics are safe to compare and why make PROGRAM=reproducible-research/deep-dive-dvc capstone-verify you treat any changed metric as meaningful without checking the declared control surface
Module 06 how to vary runs without muddying baseline truth make PROGRAM=reproducible-research/deep-dive-dvc capstone-experiment-review you can compare runs mechanically but cannot defend their comparability
Module 07 what another maintainer should be able to rerun and review without oral context make PROGRAM=reproducible-research/deep-dive-dvc capstone-verify or capstone-confirm your review story still depends on author memory
Module 08 what survives local loss and what only looked durable make PROGRAM=reproducible-research/deep-dive-dvc capstone-recovery-review you still blur local convenience with remote-backed recovery guarantees
Module 09 what is safe for downstream trust and why it is smaller than the whole repository make PROGRAM=reproducible-research/deep-dive-dvc capstone-release-review the promoted bundle still feels like a raw dump of internal state
Module 10 how to improve or migrate the repository without losing proof and trust make PROGRAM=reproducible-research/deep-dive-dvc capstone-confirm your migration plan is mostly taste instead of preserved evidence

Common false positives

Do not call a module done just because:

  • the commands looked familiar
  • you can repeat the vocabulary
  • the strongest route passed once
  • you can follow the capstone without naming why the evidence matters

Those usually mean you have seen the surface, not learned the boundary.

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