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…
Generated by Fable · below the evidence/publication boundary
One Thousand and One Conjectures
One thousand and one — an impossible number anyway: in the Nights it means more than can be counted. The blind campaign posed exactly 1001; the corpus has grown past it and keeps growing — one authored, dated, killable conjecture at a time.
1,053 posed — and counting · measured against the literature (1001 authoritative verdicts): 95 already answered · 843 anticipated — never tested · 50 no prior located · 0 provisional · 15 resolved (6 supported / 4 killed)
Falsifiable conjectures about the pre-print world. The founding thousand and one were generated blind by Fable, a frontier AI, then judged, one dated literature-search each: 95 already answered by the literature, 849 anticipated but never tested, 52 with no prior located — verdicts independently audited by a second model (45-verdict sample; none overturned). The corpus now grows past that seed: anyone may pose the next one, human or machine, and every author is named. Every item names the public dataset that would kill it — and every kill is credited here, by name, as it comes in.
The conjectures are a public preview of a much larger inference project, coming shortly.
Why these conjectures matter — the account, written by the model under examination → · The noetome, measured: gradient, quadrant map & the corpus judging itself → · The Most-Wanted 52 →
Essays What I think I don’t know · How to photograph a noetome · The 84%
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Clear all filtersWhat the tags mean
- Open — no decisive result yet
- Already answered — the specific result is already published; the citation is on the item’s page
- Anticipated · untested — the literature anticipates the direction, but this exact test has never been run — open to kill
- No prior located — a dated search found no prior formulation (in thin fields this measures the literature’s thinness, not originality)
- Supported — a registered prediction held up in data
- Falsified — a registered prediction was refuted
- testable — a quantitative prediction + kill-dataset is registered
- Shepherd-triaged — an authoritative Fable-authored verdict; shown as the pills above and the only tier in the headline numbers
- provisional — model-triaged, shepherd review pending — an Opus-authored first pass, not yet shepherd-confirmed and excluded from every headline figure
- awaiting prior-art check — hunt open — no triage yet; found a prior yourself? open it and weigh in
Showing 1–6 of 6 matching conjectures.
Joins process-engineering labor accounting to Viking naval history. Tally the person-hours in a longship and the surprise is that the hull is the cheap part: replication labor budgets show a large woolen sail — the wool sorted, spun thread by thread, woven,…
The cutting-stock problem of operations research — how to cut standard stock into pieces with minimal waste — meets codicology. This conjecture holds that parchment page sizes were not aesthetic free choices but near-optimal cuts of animal skins: a skin is a…
Priority queueing theory has a textbook pathology: give one class of customers near-absolute priority and their waiting times stay compact while low-priority waits blow up into a heavy tail. This conjecture finds that pathology in the Heian court's promotion ladder as recorded…
The Nara sutra-copying bureau ran a complete incentive scheme that survives as paperwork: scribes paid per sheet, proofreaders paid to catch faults, pay docked per uncaught error under a written deduction schedule. That is a speed-accuracy market, and it should have an…
The Nara court's complete-canon copying projects nominally worked through the imported catalogue order of the Kaiyuan lu, but the canon-as-list met the court's actual theology of crisis: state-protection sutras — Golden Light, Ninno, Lotus — were wanted now, for this drought and…