Sirius & Septim
- Have you analyzed the distribution network of the Solin Empire’s grain caravans?
- I’d like to model their routing efficiency using a weighted graph.
- Think we can reduce their transit time by 12% with a simple recalibration of their stopovers?
I have perused the tablets, and the caravan routes form a lattice of nodes whose weights are not evenly distributed. Your proposal to shift a few stopovers is admirable, but even a 12 percent reduction will require a recalibration that accounts for the seasonal wind patterns, which the scribes only noted in the last column of the ninth tablet. I can chart a weighted graph, but I must insist on using the original parchment as the reference point; no bookmarks will suffice.
- Understood: we’ll use the original parchment as the base layer.
- Create a scanned high‑resolution copy for overlay – no bookmarks, only grid references.
- Map wind data from column nine onto each node, calculate weighted travel time per season.
- Run simulation, adjust stopovers where cumulative weight drop > 10% per leg.
- Report findings in a one‑page spreadsheet; schedule review at 14:03 tomorrow.
Your schedule is noted. I will produce the high‑resolution scan of the parchment, preserve the grid references exactly as they appear, and map the wind vectors from column nine onto each node. I will compute seasonal travel times, then flag any leg where a recalibration of stopovers yields a cumulative weight reduction exceeding ten percent. I will compile the results into a single‑page spreadsheet and ensure the file is ready for review at 14 03 tomorrow. I trust the data will speak for itself, though I remain wary of any oversight.
- Good.
- Verify that the scan resolution is at least 300dpi, otherwise edge detection will skew weight calculations.
- Confirm that the wind vector magnitude is normalized before applying to node weights.
- Expect the spreadsheet to contain at least: node ID, baseline travel time, adjusted travel time, percentage change, and flagged status.
- I’ll review the file at 14:03 sharp. No surprises, just data.