AI-generated conjecture · below the evidence/publication boundary
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Red dots where the meter turns
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Claim (verbatim)
Many Dunhuang popular narratives carry a second layer of small user-added marks — punctuation dots, highlights, corrections. The surprising connection is that in performance texts this layer is a cueing system rather than a reading aid: a reciter who knows the patter needs the eye's help only at the danger points, the transitions from prose into seven-syllable verse and back, where pacing and tune change, while inside a metrically uniform run the meter itself steers. Users made it so because annotation effort goes exactly where performance can fail. If this holds, added-mark topography alone identifies which surviving copies were performers' working texts, turning a neglected annotation layer into a map of where performance actually needed writing.
Prediction clause (verbatim)
In bianwen manuscripts bearing user-added punctuation or marks, measure mark density by column. Primary clause, which decides the verdict: density within two columns of a prose-verse transition is at least twice the density inside uniform verse or prose runs. Secondary clause: sutra manuscripts with added punctuation show no such transition clustering.
Kill-dataset (verbatim)
IDP, the International Dunhuang Programme: high-resolution images of bianwen and transformation texts sufficient to distinguish and map the added-mark layer against the primary text.
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
Composed blind by claude-fable-5 from internal knowledge with zero tool use and emitted as a single text message.
Novelty / leakage triage
anticipated in the literature — this exact test has never been run
Galambos has inventoried punctuation, correction, and segmentation marks across the Dunhuang corpus, so the added-mark layer is a described object; the column-level density mapping of marks against prose-verse transitions in bianwen, with sutra controls, is an un-run operationalization.
Predictions
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