chore(release): v0.1.1 coarse-shard NLL MT + safe GPU init

[seonghobae]

Summary

Patch release after PR #371:

• Coarse person-shard Rust MT for NLL + PRIMARY-only wgpu GPU soft CPU fallback
• CHANGELOG + version bump to 0.1.1

Test plan

• cargo test --workspace (731 pass)
• pytest rust parity suite (79 pass)
• rust fit smoke

[coderabbitai]

Warning

Review limit reached

@seonghobae, you've reached your PR review limit, so we couldn't start this review.

Next review available in: 21 minutes

Enable usage-based reviews in Billing to review now. Otherwise, wait until the next included review is available.
You're only billed for reviews past your plan's rate limits ($0.25/file).

How can I continue?

After more reviews become available, a review can be triggered using the @coderabbitai review command as a PR comment. Alternatively, push new commits to this PR.

To avoid repeated limits, reduce automatic review volume by pausing incremental auto-reviews earlier, using label-based review opt-in, excluding WIP or generated PR titles, or requesting reviews manually when the PR is ready. If your team needs uninterrupted high-volume reviews, an organization admin can enable usage-based reviews.

How do review limits work?

CodeRabbit enforces per-developer PR review limits for each organization. Most developers receive the normal plan review availability.

For paid Pro and Pro+ PR reviews, CodeRabbit uses adaptive limits for sustained high-volume activity. When a developer's recent PR review activity reaches the 95th percentile or higher among CodeRabbit users, additional reviews become available more gradually as earlier reviews age out of the rolling window.

Please refer docs for additional details.

Review details

⚙️ Run configuration

Configuration used: Organization UI

Review profile: CHILL

Plan: Pro Plus

Run ID: a553e984-f853-4297-ada5-9fe2a4411c0f

📥 Commits

Reviewing files that changed from the base of the PR and between aa61b57 and fae1c3e.

📒 Files selected for processing (4)

• CHANGELOG.md
• crates/fast-mlsirm-py/Cargo.toml
• crates/mlsirm-core/Cargo.toml
• pyproject.toml

---

_{Comment @coderabbitai help to get the list of available commands.}