Embedded method for indexing control arrays in multimode conservative codes for holographic storage
Bibliographic record
Abstract
In multimode conservative codes for holographic storage, an unconstrained m×n binary array S of source data is added to a set of (m+1)(n+1) control arrays to form the selection set, which is guaranteed to contain at least one conservative array of strength at least t, such that each row and each column of the output array contain at least t transitions. To be able to retrieve the original source data array S during the decoding process, at least ⌈log2(m+1)(n+1)⌉ redundant bits are necessary to index the (m+1)(n+1) control arrays. Presented is a method for embedding the index information of the control arrays into the encoded arrays in a manner which requires only ⌈log2(m+1)⌉+⌈log2(n+1)⌉ redundant bits, thereby attaining high coding efficiency.
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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 | 0.001 | 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 | 0.001 | 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".