Improved methods for generating dynamic computer generated holograms for realising adaptive optical cross connects
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
Diffractive optical elements (DOE) designed by computer, i.e. computer generated holograms (CGH), offer precise control over optical wavefronts that is difficult to attain using classical optical elements and that can be of significant benefit to optical interconnection systems. Typically a CGH is implemented in a fixed medium via standard methods of micro- fabrication which may either be used directly or as a master for volume manufacture via process of replication. The computer time required to design the CGH is then not a significant issue and it is standard practice to employ computationally expensive algorithms such as simulated annealing (SA) to optimize the design. However, advances in spatial light modulator technology now offer the prospect of programmable computer generated holograms that have particularly promising application in reconfigurable interconnections systems e.g. holographic beam steering switches.
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 | 0.001 | 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 | 0.000 | 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