README polish: double-blind wording, @misc citation, absolute repo links

README.md

@@ -19,7 +19,7 @@ Fine-tuned CTI-BERT models for extracting MITRE ATT&CK techniques from cyber thr
 
 This is the **headline configuration on AnnoCTR** in the paper. The asymmetric-loss (ASL) variant regresses on this benchmark due to its low label density (mean 15.5 samples per class); BCE with `pos_weight` handles the rare classes more robustly.
 
-> Anonymous artifact for ACM CCS 2026 review. Final author identification will be added after review.
+> Anonymous artifact for double-blind peer review. Author information will be added after the review period.
 
 ## Headline result
 
@@ -95,12 +95,11 @@ python inference_example.py
 ## Citation
 
 ```bibtex
-@inproceedings{cassandra2026,
+@misc{cassandra2026,
   title  = {CASSANDRA: How Many Parameters Suffice to Automate TTP Extractions from CTI Reports---Pushing Towards the Lower Bound},
-  author = {Anonymous},
-  booktitle = {Proceedings of the 2026 ACM SIGSAC Conference on Computer and Communications Security (CCS)},
+  author = {{Anonymous Authors}},
   year   = {2026},
-  note   = {Under review — anonymous submission}
+  note   = {Anonymous submission under review}
 }
 ```