camera-ready: de-anonymize README/croissant/CITATION

README.md

@@ -15,9 +15,9 @@ library_name: pytorch
 datasets:
   - ManfredC/cmevs-erp-eval
 ---
-# CM-EVS Anonymous Code Release
+# CM-EVS Code Release
 
-This repository contains the anonymous code release for **CM-EVS: Conflict-Minimized Efficient View Selection for Scalable 3D Scene Data Acquisition**.
+This repository contains the public code release for **CM-EVS: Sparse Panoramic RGB-D-Pose Data for Complete Scene Coverage** (NeurIPS 2026 Datasets and Benchmarks Track).
 
 The release is intentionally organized around one primary review path:
 
@@ -39,7 +39,6 @@ HM3D/GLB and ScanNet++/PLY support is included as secondary adapters, but the fi
 | Blender-indoor dry run | `DRY_RUN=1 BLENDER=/path/to/blender INPUT_DIR=/path/to/blend_scenes bash scripts/run_blender_indoor.sh` |
 | Full Blender-indoor run | `BLENDER=/path/to/blender INPUT_DIR=/path/to/blend_scenes bash scripts/run_blender_indoor.sh` |
 | Summarize Blender-indoor run | `python3 scripts/summarize_blender_indoor_run.py --output-root outputs/blender_indoor` |
-| Anonymity check | `bash scripts/check_anonymity.sh` |
 
 The smoke test is designed to run without private assets. The full Blender-indoor run requires local `.blend` scenes and a Blender executable.
 
@@ -163,9 +162,11 @@ third_party/ml-depth-pro/checkpoints/depth_pro.pt
 
 ## Companion Dataset
 
-The CM-EVS dataset (Blender indoor RGB-D panoramas, license-aware adapters for HM3D / ScanNet++ / OB3D / TartanGround, MLCommons Croissant metadata) is released as an anonymous Hugging Face dataset:
+The CM-EVS dataset (Blender indoor RGB-D panoramas, license-aware adapters for HM3D / ScanNet++ / OB3D / TartanGround, MLCommons Croissant metadata) is released on Hugging Face:
 
-> **Dataset:** [`huggingface.co/datasets/anon-cmevs-2026/cmevs-erp-eval`](https://huggingface.co/datasets/anon-cmevs-2026/cmevs-erp-eval)
+> **Dataset:** [`huggingface.co/datasets/ManfredC/cmevs-erp-eval`](https://huggingface.co/datasets/ManfredC/cmevs-erp-eval)
+
+Canonical code mirrors: [`huggingface.co/ManfredC/cmevs-code`](https://huggingface.co/ManfredC/cmevs-code) and [`github.com/ManfredCh/cmevs-code`](https://github.com/ManfredCh/cmevs-code).
 
 The dataset card on that page includes the Datasheet, integrity-verification commands (`shasum -a 256 -c SHA256SUMS`), and the per-component license matrix. The Croissant manifest under `dataset_metadata/croissant.json` in this repository mirrors the dataset's metadata at release time.
 
@@ -176,7 +177,6 @@ Before uploading the code URL or zip:
 ```bash
 bash scripts/run_tiny.sh
 rm -rf outputs
-bash scripts/check_anonymity.sh
 ```
 
 The code is released under the MIT License for review. Dataset assets remain governed by their original licenses.