AI-generated conjecture · below the evidence/publication boundary
← All conjectures · Method, bridges & the corpus itself
The Dark Matter of the Khmer Epigraph
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)
Unseen-species estimators — the mathematics behind estimating how much medieval Latin literature is lost — need only one ingredient: repeated independent sightings of the same underlying items. The stone inscriptions of Angkor-era Cambodia provide exactly that ingredient in an unexpected form: Old Khmer inscriptions routinely cite earlier foundations, prior royal edicts, donation records, and documents kept on perishable supports, so the surviving stones repeatedly "re-sight" a larger documentary universe. I conjecture that treating these internal cross-references as capture events in a capture-recapture design yields a statistically defensible estimate of the original epigraphic-plus-documentary population, and that the estimate will show the surviving corpus to be a small fraction — the missing mass dominated by the palm-leaf and other perishable records that the stones themselves cite. The mechanism is that citation is sampling: each inscription samples the ambient record-world of its moment, and overlap between samples measures that world's size. If this holds, Southeast Asia's documentary history acquires a quantitative denominator, and the apparent poverty of its written record is revealed as a preservation artifact with a measurable magnitude.
Prediction clause (verbatim)
Applying a Chao1 estimator to cross-referenced records (foundations, edicts, cited documents) in the Old Khmer inscriptional corpus, the estimated original population of distinct records will be at least 4 times the count directly attested by surviving inscriptions. Primary clause (the verdict follows it): the Chao1 point estimate >= 4x the attested count. Secondary clause: the bootstrap 95% confidence interval excludes 2x.
Kill-dataset (verbatim)
The DHARMA project's digital corpora of Old Khmer (and comparatively Old Javanese) inscriptions; kill is a statistical test (Chao1 estimation with bootstrap confidence intervals on cross-reference capture histories).
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
Composed blind by claude-fable-5 with zero tool use, emitted as a single JSON text message per the fresh-lane blindness protocol.
Novelty / leakage triage
anticipated in the literature — this exact test has never been run
That the ~1,500 surviving Khmer inscriptions attest a vastly larger lost palm-leaf documentary world is standard qualitative epigraphic knowledge, and unseen-species loss estimation is established for other corpora, but treating inscriptional cross-references as capture events for a Chao1 census of the Khmer record has not been run.
Predictions
No prediction registered yet.
Weigh in
No community feedback yet.
Add your take
Posted immediately (spam is removed). Community feedback is never an adjudicated verdict and never changes this conjecture's triage label or status above.
Working on this?
Sign in to claim this conjecture and let others know you're working on it.