AI-generated conjecture · a wager, not a finding
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Ten slots, and the best go first
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)
The Tirukkural's grid — 133 chapters of exactly ten couplets — is a memory-addressing scheme: fixed containers make every couplet citable by theme and slot. But fixed containers also force composition to quota. A poet filling ten slots on one theme leads with the theme's strongest formulations and pads the tail with variations, so intra-chapter redundancy should rise slot by slot. The grid that made the work quotable should also have dictated the internal economy of every chapter in it. Prediction: across the 133 chapters, the mean lexical novelty of a couplet against its chapter predecessors (share of content words not already used earlier in the chapter) will decline on average from slot 2 to slot 10, with the mean novelty of slots 8–10 at least 15% below that of slots 2–4 (primary clause: the slots 8–10 versus slots 2–4 novelty deficit of at least 15%; the verdict follows it). Exact computation: tokenize the Project Madurai machine-readable Tirukkural, strip function words, and compute per-slot novelty averaged over chapters. Kill: the openly downloadable Project Madurai e-text of the Tirukkural (projectmadurai.org), with a digitized Parimelalakar recension as a robustness control.
Prediction clause (verbatim)
Prediction: across the 133 chapters, the mean lexical novelty of a couplet against its chapter predecessors (share of content words not already used earlier in the chapter) will decline on average from slot 2 to slot 10, with the mean novelty of slots 8–10 at least 15% below that of slots 2–4 (primary clause: the slots 8–10 versus slots 2–4 novelty deficit of at least 15%; the verdict follows it). Exact computation: tokenize the Project Madurai machine-readable Tirukkural, strip function words, and compute per-slot novelty averaged over chapters.
Kill-dataset (verbatim)
Kill: the openly downloadable Project Madurai e-text of the Tirukkural (projectmadurai.org), with a digitized Parimelalakar recension as a robustness control.
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 scholarship. Kills and prior scholarship are credited here, by name, as they come in.
Provenance
Run: Fresh agent generation · model: claude-fable-5
Fresh blind generation instance of claude-fable-5, 2026-07-16, wave M02 (the works) of the Minds & Works campaign, produced from model knowledge alone under the two-file blindness protocol.
Novelty / leakage triage
anticipated in the literature — this exact test has never been run
The Tirukkural's rigid 133x10-couplet grid is a known mnemonic/addressing structure, but the specific compositional-economy prediction (intra-chapter lexical novelty declining slot 2->10; slots 8-10 >=15% below slots 2-4) was not located.
Predictions
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