Debugging Retention Corruption: Comparison Matrix

Comparison matrix

Retention strategies trade area and complexity against wake reliability and corruption risk.

+------------------+----------------+----------------+----------------+
| Approach         | Strength       | Weakness       | Best when      |
+------------------+----------------+----------------+----------------+
| Strict intent    | high safety    | extra setup    | new designs    |
| Balanced flow    | good velocity  | review overhead | multi-team work |
| Lean checks      | faster runs    | escape risk    | late-cycle triage only |
| Refactor path    | clear contracts | migration cost | legacy cleanup |
+------------------+----------------+----------------+----------------+

When to choose each approach

• Choose LPV posture from escape risk, schedule stage, and owner bandwidth rather than simulator runtime alone.

Interview traps

• Selecting lower-overhead flows without proving corner-case transition behavior.

• Treating waiver volume as closure progress.

Low-power verification deep dive

Retention closure requires proving end-to-end state lifecycle through save, off, and restore windows.

Concept diagram

RETENTION LIFECYCLE

save request -> state capture -> power off -> power on -> restore -> traffic resume

Metric graph

RETENTION STABILITY

restore mismatch       █████
save timing defects    ████
stable wake cycles     ███████

Metrics and artifacts to collect

• retention save/restore timing report

• pre/post state diff matrix

• multi-cycle retention stress summary

• state-loss bug trend by mode

Mini case study

A corruption issue persisted until retention checks compared multi-cycle state snapshots rather than single wake events.

Debug branches

• Track save acknowledgement against actual state capture.

• Validate restore completion before functional traffic resumes.

• Run repeated sleep/wake cycles to expose drift.

Senior review question

Ask: what exact low-power transition boundary failed first, and which artifact proves the closure claim reproducibly?

Key takeaways

• Tie each LPV claim to a concrete transition boundary and one proving artifact.

• Prefer minimal reversible fixes with explicit owner and rollback criteria.

Common pitfalls

• Treating power-aware failures as random before boundary classification.

• Waiving X-prop failures before proving impact and root cause.

• Declaring closure without deterministic replay across key modes.

Principal LPV review addendum

Debugging Retention Corruption should be reviewed as a transition integrity system, not just isolated checks.

Use Time-to-first-divergence localization and percentage of corruption bugs resolved with deterministic reproduction. as alarm and Corruption triage packet with first-divergence trace, root-cause taxonomy, and regression guardrail checklist. as proof.

Retention closure requires proving save, off, and restore phases as one lifecycle with explicit handshake timing. Closure quality comes from reproducible evidence and explicit owners.