Codecov Report

✅ All modified and coverable lines are covered by tests.
✅ Project coverage is 97.64%. Comparing base (1590ea6) to head (190776b).
⚠️ Report is 1 commits behind head on main.

@@           Coverage Diff            @@
##             main     #752    +/-   ##
========================================
  Coverage   97.63%   97.64%            
========================================
  Files         447      449     +2     
  Lines       54981    55134   +153     
========================================
+ Hits        53681    53834   +153     
  Misses       1300     1300            

☔ View full report in Codecov by Sentry.
📢 Have feedback on the report? Share it here.

Implementation Summary

Changes

• Added the new algebraic model SparseMatrixCompression with registry metadata, canonical example data, zero-based shift configs, and helper methods for decoding shifts and reconstructing the implied storage vector.
• Added focused unit coverage for the verified issue example, uniqueness of the satisfying shift assignment, serialization, constructor guards, and complexity metadata.
• Wired the model into the algebraic/module/prelude exports so it is discoverable through the catalog and example-db export path.
• Added pred create SparseMatrixCompression support, problem-specific help text, and CLI tests for the example matrix plus the required --bound validation.
• Added a problem-def("SparseMatrixCompression") paper entry with the canonical example, overlay explanation, and reproducible pred commands.
• Verified the user-facing CLI flow on the canonical example: create --example, evaluate --config 1,1,1,0, and solve --solver brute-force all returned the expected unique satisfying assignment.

Deviations from Plan

• None.

Open Questions

• None.

Agentic Review Report

Structural Check

Structural Review: model SparseMatrixCompression

Structural Completeness

Build Status

• make test: PASS
• make clippy: PASS

Semantic Review

• evaluate() correctness: OK
• dims() correctness: OK
• Size getter / metadata consistency: OK
• Weight handling: OK (not applicable)

Issue Compliance

Summary

• 16/16 structural checks passed
• No confirmed structural blockers found

Quality Check

Quality Review

Design Principles

• DRY: OK
• KISS: OK
• HC/LC: OK

HCI

• Error messages: ISSUE - invalid zero-bound input panics instead of returning a validation error.
• Discoverability: OK
• Consistency: OK
• Least surprise: ISSUE - invalid input can crash the CLI.
• Feedback: OK

Test Quality

• Naive test detection: ISSUE - there is no regression test for the CLI zero-bound path.

Issues

Important (Should Fix)

• pred create SparseMatrixCompression ... --bound 0 panics instead of rejecting the input cleanly. parse_nonnegative_usize_bound() in problemreductions-cli/src/commands/create.rs:813 accepts 0, but SparseMatrixCompression::new() in src/models/algebraic/sparse_matrix_compression.rs:44 asserts bound_k > 0. The SparseMatrixCompression CLI branch at problemreductions-cli/src/commands/create.rs:2693 therefore aborts the process on invalid input. Reproduced with:
  cargo run -q -p problemreductions-cli --bin pred -- create SparseMatrixCompression --matrix '1,0;0,1' --bound 0

Summary

• 1 important issue
• make test: PASS
• make clippy: PASS

Agentic Feature Tests

Feature Test

Discoverability was solid. pred list includes SparseMatrixCompression, pred show SparseMatrixCompression exposes the description, fields, and complexity, and pred create --example SparseMatrixCompression works.

The downstream flow worked end to end in the current worktree:

• pred create --example SparseMatrixCompression
• pred evaluate <instance> --config 1,1,1,0 returned true
• pred solve <instance> --solver brute-force returned [1,1,1,0]

Blocked steps: none.

Friction point: pred create SparseMatrixCompression is help-only and exits with code 2, which is slightly surprising but not a confirmed bug.

Issues found: none confirmed on the documented happy path.

Generated by review-pipeline