Multi Coding Rates Nested Recursive Convolutional Doubly-Orthogonal Codes
Bibliographic record
Abstract
This article presents a class of multi-coding rates time-invariant Recursive Convolutional Doubly-Orthogonal codes (RCDO). The Nested-RCDO (N-RCDO) codes are generated from their RCDO mother code which has a Tanner graph with a girth equal to 10 due to the doubly-orthogonal conditions imposed onto the connections positions of the mother recursive convolutional encoder. This implies that the girths of the N-RCDO codes are also equals to 10. Moreover, results are showing that regular (3, d <inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">ρ</inf> ) N-RCDO codes nearly achieve their asymptotic decoding limits for all the desired coding rates obtained from the regular mother RCDO code. These codes also offer a substantial additional coding gain as compared to the non-recursive multi coding rates CDO codes.
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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".