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AI-generated conjecture · below the evidence/publication boundary

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The temple ledger is a library catalogue in stone

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)

Temple and monastic donative inscriptions occasionally record gifts of books — titles, sometimes counts, dated and localized — which makes them tiny dated library catalogues in a medium that survives without recopying. Because stone samples the act of donation while manuscript catalogues sample eventual survival, the two records should differ predictably: inscriptionally donated titles should skew toward prestigious, canonical, commemorable works relative to the survival-shaped genre mix of actual collections. Matching the stone-recorded titles to known works measures both the identifiability of a dated cross-section of circulating literature and the donation bias itself. If it holds, book-donation inscriptions become fixed, dated anchors for the circulation history of specific works — an epigraphic complement to colophon dating.

Prediction clause (verbatim)

At least 70% of book titles recorded in published book-donation inscriptions will be identifiable with works in the Pandit database, and the combined śāstra-plus-scripture share among donated titles will exceed the śāstra-plus-scripture share of the NGMPP/NGMCP catalogue taken as a whole. Primary clause: the at-least-70% identifiability rate; the genre-skew comparison is secondary.

Kill-dataset (verbatim)

Titles from published book-donation inscriptions matched against the Pandit database, with the genre baseline computed from the NGMPP/NGMCP catalogue.

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

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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

Donative epigraphy (including book/text gifts) as durable dated records is studied, but treating book-donation inscriptions as dated library cross-sections — >=70% title-identifiability plus a prestige/canon genre-skew versus survival-shaped collections — is un-run. Thin field.

Predictions

No prediction registered yet.

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