Remove report.pdf link (file removed from repo history)

README.md

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 ReDimNet2+ is a robustness-oriented adaptation of the compact ReDimNet2-B6 backbone for Automatic Speaker Verification (ASV), trained for robustness to channel and codec mismatch (compression, telephony codecs, noise, reverberation). The model uses a ReDimNet2 backbone with a Mel-spectrogram frontend and produces 192-dimensional speaker embeddings.
 
 - **Code (training, eval, Docker submission pipeline):** [github.com/lab260ru/redimnet2-plus](https://github.com/lab260ru/redimnet2-plus)
-- **Paper:** *ReDimNet2+ for Robust Speaker Verification under Channel and Codec Shift* (manuscript submitted to ICASSP 2027) — [report.pdf](https://github.com/lab260ru/redimnet2-plus/blob/main/report.pdf)
+- **Paper:** *ReDimNet2+ for Robust Speaker Verification under Channel and Codec Shift* (manuscript submitted to ICASSP 2027)
 
 ## Results