SRCH:0B297619
Scaling Model Size Enhances Robustness of JaCoText Fixes Under Adversarial Noise
Abstract
Abstract: This report synthesises findings from 14 peer-reviewed papers addressing the following research question: To what extent does scaling the model size improve the robustness of JaCoText-generated fixes against adversarial noise, as measured by BLEU or ROUGE scores on QuixBugs benchmarks. 16 claims were extracted from source literature; 1 was independently verified against retrieved documents. An automated multi-reviewer quality assessment produced a score of 3.8/10. This report is a machine-generated literature synthesis and does not constitute original research.
Research Question
To what extent does scaling the model size improve the robustness of JaCoText-generated fixes against adversarial noise, as measured by BLEU or ROUGE scores on QuixBugs benchmarks?
Verification Level
| Paper level | L2, Source-grounded claims | |
| Source-grounded claims | 16 | |
| Claim record source | parsed source sections |
Descriptive public verification status only; aggregate claim counts are public, but individual claim records are not exposed here.
Quality Tier
| Tier | Quarantine candidate | |
| Basis | Review score is below 5.0; source-level inspection is required before relying on the synthesis. |
Descriptive public triage only; this tier does not alter current publication or DOI behavior.
Quality Dimensions
| Evidence strength | LOW | |
| Citation grounding | MEDIUM | |
| Uncertainty disclosure | MEDIUM | |
| Reproducibility status | MEDIUM |
Automated triage signals derived from public fields; not human peer review or independent validation.
Correction Record
| Status | CURRENT |
| Correction count | 0 |
| Manifest contract | paper-manifest-v1.1 |
| Correction contract | correction-record-v1 |
Public corrections are additive records. Current status does not claim the synthesis is error-free.
Provenance
| Publisher | Assignee Research |
| Public provenance | L3, Claim aggregate record |
| Report artifact | Available |
| External record | Not registered |
| Claim lineage | 16 aggregate source-grounded claims |
| Review method | Automated multi-reviewer assessment |
| Quality guide | How to read scores, claims, manifests, and evidence links |
| Provenance contract | source-provenance-v1 |
| Note | Machine-generated synthesis of existing literature. Not primary research. |