9e38f78379
Two changes per the user's feedback that the slide had unused horizontal space and needed per-PDF context. Layout - The reference scene is now a 2-column grid inside the metric-stack: PDF iframe at ~1.7fr on the left, description panel at ~0.55fr on the right (min 280px). On narrow viewports (<1100px) it falls back to a vertical stack with the description capped to 240px. - Added #zoom=page-width to the iframe URL so the PDF's page fits its column width instead of leaving margins beside an 8.5x11 page rendered in a wider iframe. - Hide the prose card on the references scene — the description panel inside the stack covers what the prose was saying, and freeing the right edge gives the description proper room. Description content - Backend reads <stem>.md sidecar files alongside each PDF and returns the contents in the /api/references payload. - Frontend renders them with a tiny built-in markdown subset (headings, bold/italic, lists, inline code, paragraphs) — no third-party renderer dependency. - Initial draft sidecar .md files committed for the four PDFs currently in references/. Each describes how the paper informs a specific scene of the deck (which model row, which eval protocol, which channel selection). Edit them in place and the panel updates on the next reload.
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LSTM on event-log sequences
DANTE applies a plain LSTM directly to system-log event sequences to flag insider-threat behavior. Earlier in the literature than the transformer wave, and useful here as a methodological baseline.
What we borrowed
- Evidence that simple recurrent models are enough. The paper shows an LSTM on sequence-of-events alone — no per-task feature engineering — captures enough temporal structure to beat bag-of-events classifiers. That's the empirical ground for the RNN/GRU/LSTM entries in our model comparison being plain, not bespoke.
- Negative-evidence framing. DANTE is also explicit about cases where the LSTM under-performs (low-volume users, novel event types). Informs the split-by-sample, not split-by-time eval protocol on the perf scene — generalising to unseen actors is the bar.
Where it differs
- Operates on log-event token sequences (categorical), not numeric
resource metrics (continuous). Our channels are floats from
/proc, so we use the temporal structure DANTE validates without inheriting the embedding setup.