    Finished `dev` profile [unoptimized + debuginfo] target(s) in 0.15s
     Running `target/debug/examples/research --prune-threshold 0.01`
=== Entrenar Academic Research Demo ===

--- Research Artifact (ENT-019) ---
Artifact: Deep Learning Dataset for Computer Vision
Type: Dataset
License: CC-BY-4.0
Authors: 2 total
  - Alice Smith (ORCID: Some("0000-0002-1825-0097"))
    Role: Conceptualization
    Role: Software
    Role: Writing – original draft
  - Bob Jones (ORCID: None)
    Role: Data curation
    Role: Validation

--- Citation Generation (ENT-020) ---
Citation key: smith_2024_deep

BibTeX output:
@misc{smith_2024_deep,
  author = {Smith, Alice and Jones, Bob},
  title = {{Deep Learning Dataset for Computer Vision}},
  year = {2024},
  journal = {Nature Machine Intelligence},
  volume = {6},
  pages = {123-145},
  doi = {10.5281/zenodo.1234567},
  url = {https://example.com/dataset},
  keywords = {benchmark, evaluation},
}

CITATION.cff output (first 20 lines):
cff-version: 1.2.0
message: "If you use this dataset, please cite it as below."
type: dataset
title: "Deep Learning Dataset for Computer Vision"
version: "2.0.0"
license: CC-BY-4.0
doi: 10.5281/zenodo.1234567
url: "https://example.com/dataset"
date-released: "2024-01-01"
authors:
  - family-names: "Smith"
    given-names: "Alice"
    orcid: "https://orcid.org/0000-0002-1825-0097"
    affiliation: "MIT"
  - family-names: "Jones"
    given-names: "Bob"
    affiliation: "Stanford University"
keywords:
  - "machine learning"
  - "computer vision"
...

--- Literate Document (ENT-021) ---
Extracted 2 code blocks:
  - Some("python") at line 6 (96 chars)
  - Some("rust") at line 18 (47 chars)

--- Pre-Registration (ENT-022) ---
Pre-registration commitment:
  Hash: 6a1e9e890e6678cc19b0ce5e70fa8192...
  Created: 2025-11-30 15:11:51.310554615 UTC
  Signed: Yes (Ed25519)
  Signature valid: true

--- Anonymization (ENT-023) ---
Original artifact:
  ID: dataset-2024-ml
  Authors: ["Alice Smith", "Bob Jones"]
Anonymized artifact:
  Anonymous ID: anon-104c10965548d55a
  Authors: ["Anonymous Author 1", "Anonymous Author 2"]
  Can verify original: true

--- Notebook Export (ENT-024) ---
Generated notebook:
  Kernel: Python 3 (python)
  Cells: 4 total
    Code cells: 2
    Markdown cells: 2
  Manual Rust notebook: 2 cells

--- Citation Graph (ENT-025) ---
Citation graph:
  Nodes: 3
  Edges: 3
  Upstream from 'our-paper': 2
  All citations (transitive): 2

--- RO-Crate Packaging (ENT-026) ---
RO-Crate package:
  Root: /tmp/entrenar-research-demo
  Entities: 9
  Data files: 3
  ZIP size: 1092 bytes

--- Archive Deposit (ENT-027) ---
Deposit prepared for: Zenodo
  Files: 1
  Metadata title: Deep Learning Dataset for Computer Vision
  Resource type: Dataset

Supported archive providers:
  - Zenodo: https://zenodo.org
  - Figshare: https://figshare.com
  - Dryad: https://datadryad.org
  - Dataverse: https://dataverse.harvard.edu

=== Demo Complete ===

The research module provides:
  - CRediT taxonomy for contributor roles
  - ORCID/ROR validation for identifiers
  - BibTeX and CFF citation export
  - Cryptographic pre-registration
  - Double-blind anonymization
  - Jupyter notebook generation
  - RO-Crate 1.1 compliant packaging
  - Archive deposit preparation
