---
license: cc-by-4.0
language:
- en
pretty_name: FrontierChallenge Reference
---

# FrontierChallenge reference data

FrontierChallenge reference data provides **97 authenticated, encrypted
verifier archives**.

| Path | Contents |
|---|---|
| `tasks/<task-id>/verifier.fcref` | encrypted `tests/`: grader, rubric, fixtures, validation code, and reference outputs |
| `manifest.jsonl` | archive paths, sizes, and SHA-256 commitments |
| `source_registry.json` | release binding shared with GitHub and the solve dataset |
| `tools/` | integrity checker and standalone unsealer |

The archive password is public:

```text
frontier-challenge-reference
```

Encryption prevents casual search-engine and Dataset Viewer indexing; it is
not access control. Anyone evaluating the benchmark can unseal an archive:

```bash
python tools/unseal_verifier.py tasks/<task-id>
```

Normal evaluation does not require manual unsealing. The
[FrontierChallenge runtime](https://github.com/ApodexAI/FrontierAgent/tree/main/benchmarks/frontierchallenge)
verifies the solve/reference registry, copies the selected archive into
evaluator-owned staging, authenticates and decrypts `tests/`, and gives Harbor
that staged task. Harbor exposes the instruction and environment to the agent
but reserves `tests/` for its verifier phase.

This repository deliberately contains no instructions, task inputs, or runtime
environments. Verify a downloaded reference package with:

```bash
python tools/verify_reference_dataset.py
```

## Citation

```bibtex
@misc{apodex11,
  title         = {Apodex 1.1: Scaling Agentic Intelligence for Complex Work},
  author        = {{Apodex Team}},
  year          = {2026},
  eprint        = {2608.23283},
  archivePrefix = {arXiv},
  primaryClass  = {cs.AI},
  url           = {https://arxiv.org/abs/2608.23283}
}

@misc{frontierchallenge,
  title         = {FrontierChallenge: Evaluating Scientific Workflow Completion},
  author        = {Liangcai Su and Zhaopeng Feng and Zhuo Chen and Zhen Zhang
                   and Xiang Lin and Ruilin Li and Handuo Zhang and Ning Wang
                   and Kailong Wen and Yueqi Guo and Feng Xing and Yiling Guo
                   and Chenxiong Qian and Simon Shaolei Du and Lidong Bing
                   and Xinyu Wang},
  year          = {2026},
  eprint        = {2608.24979},
  archivePrefix = {arXiv},
  primaryClass  = {cs.AI},
  url           = {https://arxiv.org/abs/2608.24979}
}
```