The arXiv preprint (submitted May 2026) introduces ATHENA as the first compiler to explicitly optimize teleportation scheduling across photonic-linked quantum modules, tackling a core barrier in fault-tolerant distributed quantum computing where non-local CNOTs incur 4.3-7.7x latency and 4x error penalties. Unlike prior block-based schedulers that commit greedily without cross-block lookahead, ATHENA's Utility-driven Lookahead with Multi-Candidate Block Scheduling (UMS) evaluates only qubit-overlapping future blocks while retaining multiple candidate schedules to avoid early suboptimal commitments; its EPR-Capacity-Aware Early Scheduling (EES) further pipelines operations when entanglement resources permit. Evaluations on standard benchmarks report 34% average teleportation reduction (up to 65%) and 2x latency improvement (up to 2.9x), yet the work remains a preprint without peer review and relies on simulation rather than hardware runs, leaving real-device noise and calibration effects untested. This approach connects directly to earlier modular architecture proposals such as the 2023 Nature paper on silicon-photonic interconnects for trapped-ion modules (Monroe et al.) and the 2024 arXiv survey on distributed surface-code compilation challenges (Li et al.), which ATHENA implicitly extends by quantifying lookahead deficiencies those works only flagged qualitatively. What prior coverage missed is the compounding effect on logical error rates during syndrome extraction rounds: by deferring teleportations, ATHENA may inadvertently increase idle errors on data qubits, a tradeoff not quantified here. Sample size is implicit in benchmark suites typical for quantum compilers (dozens of circuits across varying widths), but no statistical variance across random seeds is reported. Limitations include idealized EPR generation assumptions and omission of routing congestion in larger networks beyond 4-8 modules.