The bundle is a syllabus you can weigh

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)

A large share of South Asian manuscripts are multi-text bundles — several works copied together in one pothi — and what travels together was studied together: the bundle fossilizes a teacher's or owner's working set. Aggregated over thousands of manuscripts, co-occurrence should reveal curricular modules — the actual paths students took through the literature — as network communities, something normative curriculum lists cannot provide because those lists are prescriptive rather than behavioural. The structure is testable: if bundles are syllabi, community boundaries should follow disciplines and study-stages, not sects or centuries. If it holds, we obtain the first behavioural map of Sanskrit education, and the works that bridge communities identify the interdisciplinary hinges of the tradition.

Prediction clause (verbatim)

In the NGMPP/NGMCP catalogue, the co-occurrence network of works appearing together in multi-text manuscripts will show community structure with modularity significantly above degree-preserving random baselines, and at least 70% of co-bundled work-pairs will belong to the same discipline as classified in the Pandit database, with discipline predicting community membership better than religious affiliation does. Primary clause: the same-discipline share of co-bundled pairs is at least 70%.

Kill-dataset (verbatim)

Multi-text manuscript records in the NGMPP/NGMCP catalogue with work-discipline labels from the Pandit database; network statistics computed on the resulting co-occurrence graph.

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

This conjecture is bridged, as an L1 lead, onto these Inferpedia subject pages.

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

Multi-text 'composite' manuscripts as fossilized working sets are recognized, and co-occurrence/network methods for texts exist, but extracting behavioural curricular modules (modularity above random; >=70% same-discipline co-bundling) from NGMPP multi-text records is un-run. Thin field.

South Asia Studies Digital Humanities Workshop (Penn Libraries) — computational analysis of South Asian mss

Predictions

No prediction registered yet.

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