Distributed algorithms for the RFID coverage problem
Why this work is in the frame
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Bibliographic record
Abstract
We introduce distributed algorithms for the RFID coverage problem, which is defined as finding the minimum amount of RFID readers that cover every tag. The algorithms depends on rounds of writes and reads in/from the tags' memories. The first algorithm, called Greedy Distributed Elimination (GDE), is inspired of, and equivalent to, the greedy approximation algorithm of the set cover problem. Our second contribution is a randomized algorithm that can run in one or more write/read rounds (called RANDOM and RANDOM+). Using concepts concluded from these algorithms, we introduce algorithm GDE-RANDOM+ which improves further the number of non-redundant readers of GDE by integrating it with RAN-DOM+.
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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