remove NeurIPS badge/citation; use arXiv preprint citation

README.md

@@ -50,7 +50,7 @@ dataset_info:
 
 # TeamBench: Evaluating Agent Coordination under Enforced Role Separation
 
-[![Paper](https://img.shields.io/badge/NeurIPS-2026%20D%26B-blue)](https://neurips.cc/Conferences/2026/CallForEvaluationsDatasets)
+[![arXiv](https://img.shields.io/badge/arXiv-2605.07073-b31b1b)](https://arxiv.org/abs/2605.07073)
 [![GitHub](https://img.shields.io/badge/GitHub-ybkim95%2FTeamBench-black)](https://github.com/ybkim95/TeamBench)
 [![License](https://img.shields.io/badge/License-MIT-green)](https://choosealicense.com/licenses/mit/)
 [![Croissant](https://img.shields.io/badge/Croissant-1.0-orange)](https://huggingface.co/datasets/ybkim95/teambench/resolve/main/croissant.json)
@@ -70,7 +70,7 @@ The release includes deterministic shell-script graders, parameterized seeded wo
 | `teambench_dataset.json` | 931 | Canonical full release: every seeded instance with `task_id`, `title`, `category`, `difficulty`, `has_generator`, `ablation_scores` (when available; columns `oracle`/`restricted`/`team`/`team_no_plan`/`team_no_verify`), `tni` (= `(S_team − S_restricted) / max(0.05, S_solo − S_restricted)`; null when the necessity gap is below 0.05), and `classification` (`HIGH-TNI`/`TEAM-HELPS`/`NEUTRAL`/`TEAM-HURTS`). |
 | `data/train.json` | 153 | Originally-authored core templates with complete 5-condition reference ablation data (used in capability analysis, Section 5 of the paper). |
 | `data/test.json` | 120 | Hard subset for stratified leaderboard evaluation. |
-| `croissant.json` | -- | NeurIPS 2026 dataset metadata (Croissant 1.0 + RAI). |
+| `croissant.json` | -- | Dataset metadata (Croissant 1.0 + RAI). |
 
 ## Quickstart
 
@@ -179,14 +179,11 @@ Adversarial-trap (`TRAP*`) and security-vulnerability (`CRYPTO*`, `SEC*`) tasks
 ## Citation
 
 ```bibtex
-@inproceedings{kim2026teambench,
-  title     = {TeamBench: Evaluating Agent Coordination under Enforced Role Separation},
-  author    = {Kim, Yubin and Park, Chanwoo and Kim, Taehan and Park, Eugene and
-               Schmidgall, Samuel and Rahman, Salman and Park, Chunjong and
-               Breazeal, Cynthia and Liu, Xin and Palangi, Hamid and
-               Park, Hae Won and McDuff, Daniel},
-  booktitle = {NeurIPS 2026 Datasets and Benchmarks Track},
-  year      = {2026}
+@article{kim2026teambench,
+  title={TeamBench: Evaluating Agent Coordination under Enforced Role Separation},
+  author={Kim, Yubin and Park, Chanwoo and Kim, Taehan and Park, Eugene and Schmidgall, Samuel and Rahman, Salman and Park, Chunjong and Breazeal, Cynthia and Liu, Xin and Palangi, Hamid and others},
+  journal={arXiv preprint arXiv:2605.07073},
+  year={2026}
 }
 ```
 
@@ -196,7 +193,7 @@ Released under the **MIT License**. Tasks adapted from public GitHub issue track
 
 ## Links
 
-- Paper (camera-ready): NeurIPS 2026 D&B (forthcoming)
+- Paper: <https://arxiv.org/abs/2605.07073>
 - Code: <https://github.com/ybkim95/TeamBench>
 - Croissant metadata: [`croissant.json`](https://huggingface.co/datasets/ybkim95/teambench/resolve/main/croissant.json)
 - Issue tracker: <https://github.com/ybkim95/TeamBench/issues>

croissant.json

@@ -283,7 +283,7 @@
   "url": "https://huggingface.co/datasets/ybkim95/teambench",
   "version": "1.0.0",
   "datePublished": "2026-05-06",
-  "citeAs": "@inproceedings{kim2026teambench, title={TeamBench: A Multi-Agent Teamwork Benchmark with OS-Enforced Role Separation}, author={Kim, Yubin and Park, Chanwoo and Kim, Taehan and Park, Eugene and Schmidgall, Samuel and Rahman, Salman and Park, Chunjong and Breazeal, Cynthia and Liu, Xin and Palangi, Hamid and Park, Hae Won and McDuff, Daniel}, booktitle={NeurIPS 2026 Datasets and Benchmarks Track}, year={2026}}",
+  "citeAs": "@article{kim2026teambench, title={TeamBench: Evaluating Agent Coordination under Enforced Role Separation}, author={Kim, Yubin and Park, Chanwoo and Kim, Taehan and Park, Eugene and Schmidgall, Samuel and Rahman, Salman and Park, Chunjong and Breazeal, Cynthia and Liu, Xin and Palangi, Hamid and others}, journal={arXiv preprint arXiv:2605.07073}, year={2026}}",
   "sameAs": "https://github.com/ybkim95/TeamBench",
   "rai:dataCollection": "Tasks have four origin classes. (1) 161 originally authored templates were written by the authors and place critical constraints exclusively in the full specification, absent from the brief and the workspace, so a single agent cannot solve the task without the Planner. (2) 650 GitHub bug report templates are adapted from active open-source repositories (Flask, Click, httpx, Requests, Pydantic, Django, pytest, FastAPI, SQLAlchemy, Celery, Werkzeug, NumPy, SciPy, Keras, spaCy and others). For each, the issue text and the user-facing symptom were extracted into the brief; the upstream fix patch was used to construct the deterministic grader. (3) 30 data-science templates use canonical UCI public datasets cited in the paper. (4) 10 incident-response templates adapt public post-mortems. Each template includes a parameterized generator that emits byte-identical workspace files from a fixed integer seed; held-out seeds are reserved for the leaderboard refresh.",
   "rai:dataCollectionType": [