Anix: Anonymous Blackout-Resistant Microblogging with Message Endorsing
Bibliographic record
Abstract
Repressive governments are increasingly resorting to Internet shutdowns to control the flow of information during political unrest. In response, messaging apps built on top of mobile-based mesh networks have emerged as important communication tools for citizens and activists. While different flavors of these apps exist, those featuring microblogging functionalities are attractive for swiftly informing and mobilizing individuals. However, most apps fail to simultaneously uphold user anonymity while providing safe ways for users to build trust in others and the messages flowing through the mesh. We introduce Anix, a blackout-resistant app with two novel features: remote trust establishment and anonymous message endorsing. Anix also leverages a set of identity revocation primitives for the fine-grained management of trust relationships and to provide enhanced anonymity. Our evaluation of Anix through comprehensive micro-benchmarks and simulations showcases its practicality and resilience in shutdown scenarios.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".