Version 1.11.4

Makefile

@@ -8,3 +8,7 @@ docs:
 paper:
 	cd paper/ && \
 	./joss_make_latex.sh
+
+.PHONY: paperdraft
+paperdraft:
+	docker run --rm --volume $(PWD)/paper:/data --user $(id -u):$(id -g) --env JOURNAL=joss openjournals/inara

paper/paper.bib

@@ -204,6 +204,15 @@ @misc{robotix2019
       url={https://arxiv.org/abs/1901.06514}, 
 }
 
+@misc{fidgit,
+  author = {A. M. Smith and K. Thaney and M. Hahnel},
+  title = {Fidgit: An ungodly union of GitHub and Figshare},
+  year = {2020},
+  publisher = {GitHub},
+  journal = {GitHub repository},
+  url = {https://github.com/arfon/fidgit}
+}
+
 @software{trimesh,
 	author = {{Dawson-Haggerty et al.}},
 	title = {trimesh},

paper/paper.md

@@ -13,36 +13,36 @@ tags:
 authors:
   - name: Clemens Eppner
     orcid: 0000-0002-5398-4037
-    # affiliation: "1"
+    affiliation: 1
     corresponding: true
   - name: Adithyavairavan Murali
-    # affiliation: "1"
+    affiliation: 1
   - name: Caelan Garrett
     orcid: 0000-0002-6474-1276
-    # affiliation: "1"
+    affiliation: 1
   - name: Rowland O'Flaherty
-    # affiliation: "1"
+    affiliation: 1
   - name: Tucker Hermans
     orcid: 0000-0003-2496-2768
-    # affiliation: "1"
+    affiliation: 1
   - name: Wei Yang
     orcid: 0000-0003-3975-2472
-    # affiliation: "1"
+    affiliation: 1
   - name: Dieter Fox
     orcid: 0009-0009-4694-9127
-    # affiliation: "1"
+    affiliation: 1
 
 affiliations:
  - name: NVIDIA Research
-#    index: 1
+   index: 1
 date: 30 April 2024
 bibliography: paper.bib
 ---
 
 # Summary
 `scene_synthesizer` is a library for writing procedural scene generators in Python with a special focus on robot manipulation. The resulting scenes can be exported to various formats, enabling physics simulation or rendering data pipelines for training robotics or vision models.
 
-![A synthetic kitchen scene. From top to bottom, left to right: Shown in the debug viewer, exported as mesh file in MeshLab, simulated in pybullet, Mujoco, Isaac Sim, and Isaac Lab.](../imgs/paper_teaser.png){ width=100% }
+![A synthetic kitchen scene. From top to bottom, left to right: Shown in the debug viewer, exported as mesh file in MeshLab, simulated in pybullet, Mujoco, Isaac Sim, and Isaac Lab.](paper_teaser.png){ width=100% }
 
 # Statement of Need
 Simulation is an ever increasing data source for training deep learning models.