D-ForenRIA: a distributed tool to reconstruct user sessions for rich internet applications
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
Rich Internet Applications (RIAs) which use JavaScript and Ajax have become the norm for modern Web applications. However with RIA, the reconstruction of user-interactions from recorded HTTP logs is a new and challenging problem. We present D-ForenRIA a distributed tool for session-reconstruction for RIAs. D-ForenRIA provides detailed information about user actions including DOM elements involved and user-inputs provided. D-ForenRIA incorporates novel techniques to order candidate user-interactions based on DOM features and knowledge acquired during session reconstruction. In addition, using several browsers concurrently makes the system scalable for real-world use. The results of our evaluation on several RIAs show that D-ForenRIA can efficiently reconstruct use-sessions in practice.
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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 | 0.001 |
| 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 it