Ars Inquirendi

AI-generated conjecture · below the evidence/publication boundary

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Peutinger's seams

Status: Anticipated · untested

Status is derived only from the shepherd-authored triage/prediction data above -- community submissions and claims are a separate overlay and can never change it (see the participation panel below).

This is a proposed connection between two domains, generated by a language model. It is not an article and not evidence: it sits below the evidence/publication boundary. A quantitative prediction and a named kill-dataset are attached (when registered) so the claim stays falsifiable rather than merely evocative.

Claim (verbatim)

Peutinger's seams. The Tabula Peutingeriana, the famous medieval copy of a Roman route map, was almost certainly compiled from multiple earlier itineraries rather than drawn from any single survey. Each source itinerary would carry its own error habits — its own units, rounding conventions, and characteristic sloppiness — and those habits should survive compilation as regional signatures. The conjecture is that the map's segment-distance errors are therefore not homogeneous but cluster by province: within a province the error mean and variance stay consistent, while between provinces they shift, marking the seams where one source ended and another began. Error-variance clustering would thus recover the map's lost sources, doing for cartography what stemmatics does for manuscripts — reconstructing a compilation's components from the pattern of its mistakes.

Prediction clause (verbatim)

For each road segment on the Tabula Peutingeriana with a known real route length, compute the distance error, then apply error-variance clustering: fit one model with a single homogeneous error distribution and one with province-level error means and variances. Primary clause: the province-level model beats the single-source model by ΔBIC > 10, and at least three distinct province clusters emerge whose between-cluster error variance exceeds within-cluster variance (ANOVA p < 0.01). The verdict follows the primary clause.

Kill-dataset (verbatim)

error-variance clustering.

Nobody has run this test. The kill-data is named above. If you can run it — or you know the paper that already settles it — claim the kill or submit the prior. Kills and priors are credited here, by name, as they come in.

In the atlas

This conjecture is bridged, as an L1 lead, onto these Inferpedia subject pages.

Provenance

Run: Imported conversation (verbatim harvest) · model: claude-fable-5

Origin: operator conversation with Claude Fable 5 at max effort, conducted 2026-07-03, relayed verbatim by the operator into the shepherd session on 2026-07-04. No ModelRun exists for the original generation (it happened outside the pipeline); this transcript file is the canonical capture. Transcript path: docs/generated/conjecture_harvest_fablemax_20260703.md. Model (operator-attested, not pipeline-recorded): claude-fable-5. Novelty disclaimer (verbatim, load-bearing -- rule 4): "Same caveat as before, doubled: at 100 items across all of archaeology and history, some of these will have cousins in the literature I can't check. What I can guarantee is the format — each links two things not normally linked, and each names the dataset or measurement that would kill it."

Novelty / leakage triage

anticipated in the literature — this exact test has never been run

That the Tabula Peutingeriana compiles multiple source itineraries is established — mixed distance units (Roman miles vs Gallic leugae by section) are already cited as evidence — and single-route distance comparisons across parallel itineraries exist. The systematic province-by-province error-variance clustering to reconstruct the source stemma was not located.

Predictions

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