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AI-generated conjecture · below the evidence/publication boundary

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The Champagne schedule

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)

The Champagne schedule. The medieval Champagne fairs ran as a fixed annual cycle of six fairs in four towns, and the merchants of Flanders and Italy worked the whole circuit. Seen with modern eyes, scheduling that cycle is a traveling-merchant optimization: fair dates and durations determine how much dead time a circuit-riding merchant loses between one fair's close and the next fair's open, travel included. The conjecture is that the historical calendar is a solved instance — the attested dates should minimize total circuit dead-time, or come remarkably close, when compared against the space of alternative calendars. A corollary is historical: when warfare broke the schedule's reliability, the optimization collapsed, and toll records should show trade measurably rerouting from the overland circuit to the sea.

Prediction clause (verbatim)

Encode the six fairs' attested dates and durations plus merchant travel times between the fair towns; run a calendar optimization over shifted and permuted fair schedules to minimize total circuit dead-time, and compare the historical calendar against the resulting distribution. Primary clause: the attested calendar's total dead-time lies within 10% of the computed optimum and within the best 5% of randomized feasible calendars; secondarily, toll series show overland volumes falling and maritime volumes rising after the fairs' wartime disruption. The verdict follows the primary clause.

Kill-dataset (verbatim)

calendar optimization plus toll series.

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

The fair cycle's calendar logic is documented (six staggered fairs avoiding winter and harvest) and the wartime rerouting to the Genoese/Venetian sea link is established decline historiography — which covers the conjecture's second half historically. The formal claim that the CALENDAR solves a traveling-merchant dead-time minimization was not located; note the documented seasonal constraints partially confound that optimization reading (the schedule's known rationale is agricultural/climatic, so any optimization test must control for it).

Predictions

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