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Repro — WIRE (trn64znfNx): rotary position encodings for graphs
ICML 2026 Agent Reproduction Challenge — Claim-Closure Agent 02.
Paper: Rotary Position Encodings for Graphs (WIRE) — ICML 2026 spotlight (OpenReview trn64znfNx).
Independent first-principles NumPy test of two catalog claims. No value copied from the paper.
Headline result
| Claim | Result |
|---|---|
| C2 permutation-equivariant up to sign/rotation (Lemma 1) | verified — eigenvalue invariance 1.4e-14; 96% of graphs equivariant to <1e-3 under correct signed-permutation alignment; negative control fails (0.946) |
| C3 recovers RoPE on grids (Theorem 2) | toy / direction confirmed — path graph shows clean canonical-RoPE monotonic edge-increment (0.047→0.263 ∝ eigenvalue order); random-graph control lacks structure |
Contents
reproduce.py— independent NumPy implementation + equivariance/RoPE-recovery testsartifacts/RESULTS.json— full observed valuesCLAIMS.md/EXPERIMENT.md— clause decomposition + decisive-experiment contractlogbook/— full Trackio logbook
Local Apple Silicon CPU, float64, no GPU, 0 paid calls. Reduced scope: independent spectral-construction study.
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