diff --git a/pubs.json b/pubs.json
index 6d7db7b..fd2aedf 100644
--- a/pubs.json
+++ b/pubs.json
@@ -5,7 +5,7 @@
     "title": "4D-fy: Text-to-4D Generation Using Hybrid Score Distillation Sampling",
     "year": "2024",
     "venue": "arXiv",
-    "special": "arXiv",
+    "special": "NEW!",
     "arxiv": "https://arxiv.org/abs/2311.17984",
     "homepage": "https://sherwinbahmani.github.io/4dfy",
     "pdf": "https://arxiv.org/pdf/2311.17984.pdf",
@@ -28,8 +28,11 @@
     "title": "pixelSplat: 3D Gaussian Splats from Image Pairs for Scalable Generalizable 3D Reconstruction",
     "year": "2024",
     "venue": "arXiv",
-    "special": "arXiv",
-    "arxiv": "https://pixelsplat.github.io",
+    "special": "NEW!",
+    "homepage": "https://davidcharatan.com/pixelsplat",
+    "source": "https://github.com/dcharatan/pixelsplat",
+    "pdf": "https://pixelsplat.github.io/static/pdfs/paper.pdf",
+    "arxiv": "https://arxiv.org/abs/2312.12337",
     "authors": [
       "David Charatan",
       "Sizhe Li",
@@ -43,8 +46,9 @@
     "title": "BANF: Band-limited Neural Fields for Levels of Detail Reconstruction",
     "year": "2024",
     "venue": "arXiv",
-    "special": "arXiv",
-    "arxiv": "https://theialab.github.io/banf",
+    "special": "NEW!",
+    "homepage": "https://theialab.ca/banf",
+    "pdf": "https://theialab.ca/banf/paper.pdf",
     "authors": [
       "Ahan Shabanov",
       "Shrisudhan Govindarajan",
@@ -62,7 +66,7 @@
     "venue": "arXiv",
     "arxiv": "https://arxiv.org/abs/2312.00065",
     "homepage": "https://stablekeypoints.github.io",
-    "special": "arXiv",
+    "special": "NEW!",
     "authors": [
       "Eric Hedlin",
       "Gopal Sharma",
@@ -81,7 +85,7 @@
     "year": "2024",
     "venue": "arXiv",
     "arxiv": "https://arxiv.org/abs/2312.00075",
-    "special": "arXiv",
+    "special": "NEW!",
     "authors": [
       "Shakiba Kheradmand",
       "Daniel Rebain",
@@ -98,7 +102,7 @@
     "title": "Densify Your Labels: Unsupervised Clustering with Bipartite Matching for Weakly Supervised Point Cloud Segmentation",
     "year": "2024",
     "venue": "arXiv",
-    "special": "arXiv",
+    "special": "NEW!",
     "arxiv": "https://arxiv.org/abs/2312.06799",
     "homepage": "https://densify-your-labels.github.io",
     "authors": [
@@ -117,7 +121,7 @@
     "title": "PointNeRF++: A multi-scale, point-based Neural Radiance Field",
     "year": "2024",
     "venue": "arXiv",
-    "special": "arXiv",
+    "special": "NEW!",
     "arxiv": "https://arxiv.org/abs/2312.02362",
     "homepage": "https://pointnerfpp.github.io",
     "authors": [
@@ -136,7 +140,7 @@
     "title": "Bayes' Rays: Uncertainty Quantification for Neural Radiance Fields",
     "year": "2024",
     "venue": "arXiv",
-    "special": "arXiv",
+    "special": "NEW!",
     "arxiv": "https://arxiv.org/abs/2309.03185",
     "homepage": "https://bayesrays.github.io",
     "icon": "/pubs/goli2024bayesrays.mov",
@@ -150,11 +154,11 @@
   },
   {
     "type": "arxiv",
-    "key": "rebain2024ndf",
+    "key": "rebain2024nfd",
     "title": "Neural Fields as Distributions: Signal Processing Beyond Euclidean Space",
     "year": "2024",
     "venue": "arXiv",
-    "special": "arXiv",
+    "special": "NEW!",
     "arxiv": "http://ubc-vision.github.io/nfd",
     "homepage": "https://ubc-vision.github.io/nfd",
     "icon": "/pubs/rebain2024ndf.mov",
@@ -171,7 +175,7 @@
     "title": "Volumetric Rendering with Baked Quadrature Fields",
     "year": "2024",
     "venue": "arXiv",
-    "special": "arXiv",
+    "special": "NEW!",
     "arxiv": "https://arxiv.org/abs/2312.02202",
     "authors": [
       "Gopal Sharma",
@@ -731,10 +735,10 @@
     "key": "jiang2021cotr",
     "title": "COTR: Correspondence transformer for matching across images",
     "year": "2021",
-    "arxiv": "arXiv preprint: 2103.14167",
     "venue": "International Conference on Computer Vision (ICCV)",
     "icon": "/icons/jiang2021cotr.jpg",
     "source": "https://github.com/ubc-vision/COTR",
+    "arxiv": "https://arxiv.org/abs/2103.14167",
     "special": "ICCV'21 (oral)",
     "notes": [
       "oral"