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
Fair queuing was invented to ensure that every flow gets its fair share of the total bandwidth. Efficient fair queuing using deficit round-robin, DRR, proposed by Shreedhar and Varghese (see IEEE/ACM Trans. Net., vol.4, no.4, p.386-97, 1996), reduces the work to process each packet from O(log(n)) to O(1). DRR+ was also extended to accommodate latency-critical flows. DRR+ uses a timer to police each latency-critical flow and was shown to have a latency bound of (n/sub c/s)+(M/B) for these flows. The definition of the contract of Shreedhar and Varghese, however, constrains a latency-critical flow to generate very smooth arrivals. By giving another definition of contract, we return to using the original concept of deficit to enforce each flow's commitment to its contract. This allows for bursty arrivals which may occur either as the result of source bursts, or as a result of the dynamics of multihop network paths.
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