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
Firewalls play a crucial role in network security. Experience has shown that the development of firewall rule sets is complex and error prone. Rule set errors can be costly, by allowing damaging traffic in or by blocking legitimate traffic and causing essential applications to fail. Consequently, firewall testing is extremely important. Unfortunately, it is also hard and there is little tool support available.Blowtorch is a C++ framework for firewall test generation. The central construct is the packet iterator: an event-driven generator of timestamped packet streams. Blowtorch supports the development of packet iterators with a library for packet header creation and parsing, a transmit scheduler for multiplexing of multiple packet streams, and a receive monitor for demultiplexing of arriving packet streams. The framework provides iterators which generate packet streams using covering arrays, production grammars, and replay of captured TCP traffic. Blowtorch has been used to develop tests for industrial firewalls that are placed between an IT network and a process control network.
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