AI-generated conjecture · below the evidence/publication boundary
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The late-medieval boom is the decay curve read backwards
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).
Claim (verbatim)
Histograms of Sanskrit intellectual activity — authors per century, works per century — show a striking swell between roughly 1400 and 1800, often narrated as an early-modern efflorescence. But authors are dated largely through surviving manuscripts, and manuscripts survive on a decay clock, so the apparent boom may simply be the survival window of palm leaf and paper: the same exponential that governs the colophon-date pile-up, wearing a prosopographical mask. The two curves come from independent databases, so the hypothesis is directly testable: if the boom is a sampling artifact, the author histogram should track the manuscript-survival histogram offset by roughly one recopying interval, rather than tracking any independent production proxy. If it holds, claims of early-modern intellectual takeoff need re-founding on decay-corrected measures, and some of the quiet earlier centuries were louder than they look.
Prediction clause (verbatim)
The century-by-century histogram of author flourishing dates in the Pandit database will correlate at r > 0.7 with the NGMPP/NGMCP colophon-date histogram shifted earlier by 100-300 years, and this correlation will exceed the correlation between Pandit author counts and per-century counts of dated inscriptions, which track production rather than survival. Primary clause: the shifted Pandit-NGMPP correlation exceeds the Pandit-inscription correlation.
Kill-dataset (verbatim)
Pandit database author dates binned by century set against the NGMPP/NGMCP dated-colophon histogram, with per-century dated-inscription counts from published epigraphical lists as the comparison 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.
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Provenance
Run: Fresh agent generation · model: claude-fable-5
Generated blind in a single Write with no reads, web access, or database queries; this is the second attempt for wave W14 after a prior instance died to a network error before writing its packet.
Novelty / leakage triage
anticipated in the literature — this exact test has never been run
Survival-window/decay bias in dating-driven activity histograms is a recognized concern, and the Sanskrit 1550-1750 'efflorescence' is a live debate (Pollock's Sanskrit Knowledge-Systems Project), but the specific test — author-histogram tracking the colophon-survival histogram offset by one recopying interval, benchmarked against inscription counts — is un-run.
Predictions
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