Debugging Retention Corruption: Worked Example

Worked example

Worked Example for Debugging Retention Corruption is anchored on Time-to-first-divergence localization and percentage of corruption bugs resolved with deterministic reproduction.. Convert observations into mechanism-backed and owner-bound actions.

A regression appears in Time-to-first-divergence localization and percentage of corruption bugs resolved with deterministic reproduction.. Strong closure isolates first failing boundary, proves mechanism, applies one reversible fix, and validates blast radius before release.

Execution lens

LOW-POWER VERIFICATION FLOW - Debugging Retention Corruption

power intent and mode definitions
      |
      v
domain controls and transition sequencing
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      v
simulation behavior (isolation, retention, corruption)
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      v
assertions and coverage evidence
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      v
triage, bounded fix, and signoff closure

Decision matrix

EVIDENCE MATRIX - Debugging Retention Corruption

+-----------------------------+--------------------------------+--------------------------------+---------------------------+
| Evidence                    | Tells you                      | Does not prove                 | Next action               |
+-----------------------------+--------------------------------+--------------------------------+---------------------------+
| transition timeline traces  | first failing LP phase         | complete root-cause ownership  | correlate with intent map |
| UPF-aware assertion logs    | contract violations by phase   | silicon product impact         | map to scenario severity  |
| corruption/X classification | actionable vs noisy failures   | legal transition completeness  | replay key mode corners   |
| save/restore snapshots      | state integrity movement       | isolation correctness          | pair with crossing checks |
| before-after regressions    | mitigation movement quality    | long-tail stability            | run full matrix           |
+-----------------------------+--------------------------------+--------------------------------+---------------------------+

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.

Worked-example reasoning

Start by proving phase and boundary assumptions before tuning checks.

Use one reversible change per hypothesis to preserve causality.