Proceedings of the 4th international symposium on Memory management
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
Welcome to the proceedings of the Fourth ACM SIGPLAN International Symposium on Memory Management (ISMM 2004). ISMM 2004 was held on October 24th and 25th in Vancouver, Canada and this volume contains the 15 papers presented at the symposium. The ISMM conferences are a forum for research into all aspects of memory management. Proceedings of prior ISMM conferences (1998 in Vancouver, Canada; 2000 in Minneapolis, MN; 2002 in Berlin, Germany) were published by the Association of Computing Machinery. Proceedings of IWMM workshops (1992 in St. Malo, France; 1995 in Kinross, Scotland) which were the predecessor to ISMM are available from Springer-Verlag. The papers presented here were selected by the program committee out of 43 submissions. Each submission was reviewed by at least 3 PC members. Submissions that included a program committee member or the general chair as an author received an additional review. The submissions were judged based on scientific merit, originality, relevance, and presentation. The reviews were discussed and papers accepted during a full-day meeting attended by the full program committee (two members participated via phone).
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 | 0.002 | 0.001 |
| 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