Ars Inquirendi

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Dirt marks the downbeat

Status: Anticipated in print · 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 conjecture imagined by a language model — drawn from its trained weights and held to falsifiability, novelty, and plausibility, not to any one method: it may join two or more fields, or none. 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.
“Anticipated in print” means the direction of this claim already appears in scholarship, while this exact test has never been run — it records prior art, not proof; nothing here counts as supported or falsified until a registered resolution says so.

Claim (verbatim)

A prompt copy is not read continuously: a performer who knows the prose patter glances at the scroll only at the hard transitions — the shift into verse, the tune change. The surprising connection is that physical damage is therefore a usage log: on Dunhuang performance scrolls, handling traces (finger soiling, creasing, ink wear, repairs) should cluster at prose-verse junctures, while a reading copy accumulates wear uniformly along its length. Performers made it so simply by where their fingers and eyes returned, night after night. If this holds, performance prompts can be distinguished from library copies among unlabeled Dunhuang narratives by wear topography alone, without reading a word.

Prediction clause (verbatim)

Quantify surface damage column by column on scroll images. Primary clause, which decides the verdict: in bianwen scrolls, damage density within three columns of a prose-verse transition exceeds section-interior density by at least 50%. Secondary clause: sutra scrolls of comparable age show no such clustering at their internal divisions.

Kill-dataset (verbatim)

IDP, the International Dunhuang Programme: its high-resolution images of bianwen and transformation-text scrolls, with sutra scrolls from the same deposit as controls.

In the kill-dataset registry:

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.

On Inferpedia

This conjecture is linked to the following pages on Inferpedia, an encyclopedia of the missing — working atlas pages, some still early scaffolding.

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

Rudy's densitometry established quantified grime and wear as a usage log of medieval books, and Dunhuang materiality studies catalogue handling traces — the instrument exists. Mapping damage topography against prose-verse transitions in bianwen scrolls as a performance-prompt detector is un-run.

Sources cited by the triage

Predictions

No prediction registered yet.

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