Degradation mode analysis (DMA) is widely used to decompose capacity fade into loss of lithium inventory (LLI) and loss of active material (LAM) from low-rate voltage-capacity data. Yet the measured trace is a pseudo-OCV (pOCV) that includes two non-degradation contributions: an SOC-dependent ohmic drop and intrinsic charge-discharge hysteresis, especially in graphite–silicon oxide (C/SiOx) negative electrodes. We show these can dominate attribution and generate Phantom LAM/LLI --apparent material loss created by curve registration, branch choice and voltage-windowing rather than true degradation. Using two commercial 21700 cells (LG M50T: higher resistance; Molicel P45B: lower resistance), we extract an SOC-dependent instantaneous resistance from the first 50,ms pulse step and apply an IR correction to pOCV before fitting. In LG M50T, IR correction lifts the low-rate discharge pOCV by –,mV with ageing; without it, PE-LAM is increasingly under-diagnosed (to relative error at late life) and LLI is suppressed (median ), with compensating inflation of apparent graphite loss. In P45B, on a branch-fair –,V window, end-of-life charge-branch DMA reports higher PE-LAM (,pp) and LLI (,pp), while the discharge branch recovers larger Si-LAM (discharge–charge difference to ,pp). Raising the lower cutoff (––,V) further under-reports Si-LAM by ,pp by removing the Si-sensitive low-voltage tail. We propose a practical protocol: correct only the instantaneous ohmic term, harmonize the voltage window, and base quantitative attribution on the discharge branch, treating anomalous/negative component LAMs on charge as allocation artefacts rather than recovery.

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