Networked Cooperative Swarm System for Area Denial Operations
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Anti-Personnel Landmines (APL) indiscriminately injure or kill thousands of innocent non-combatants every year, and the United States is committed to eliminating their use. Therefore, technology that replaces the military capability of APL is highly desired by the defense industry. Here, a solution is proposed for an anti-vehicle landmine (AVL) system called the Cooperative AVL Self-Defending Minefield that consists of a team of networked mobile landmines. These mines will collaborate to create an optimal minefield spacing, and will reconfigure the minefield to fill gaps in the event an opposing force attempts to breach it. Details of the mobile mine prototype, and the optimization strategy are described. This technology satisfies the requirements of the international Anti-Personnel Mine Ban Convention, known as the Ottawa Treaty, while promising an effective military capability. The project resulted in the development and successful test of a 4-member cooperative minefield system that was able to reconfigure itself to close gaps created by simulated breaching operations.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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 it