AI-generated conjecture · below the evidence/publication boundary
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Tablet aftershocks
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)
Tablet aftershocks. Joins statistical seismology to archival formation processes: an administrative archive, the claim runs, forms like an earthquake sequence. A main shock — a reform, a new institution, a royal accession — sets off a burst of documentation, and what follows obeys the bureaucratic analogue of Omori's law of aftershocks: activity relaxes as a power law of time since the peak, each round of paperwork begetting a slowly thinning tail of follow-ups, amendments, and disputes. That shape is specific and testable — heavy-tailed and bursty — and distinct from both a symmetric rise-and-fall and the fast fade of an exponential relaxation. The conjecture predicts that at sites rich in year-datable tablets, annual counts after the peak year decay as a power law with exponent near one, fitting better than an exponential at most sites, and that the same decay shape holds within single excavation-defined collections, so it is archival physics rather than an artifact of purchase lots.
Prediction clause (verbatim)
For CDLI proveniences with >=500 year-datable tablets, annual tablet counts after each site's peak year decay as t^-p with p between 0.7 and 1.3 for at least two-thirds of qualifying sites, fitting a power law significantly better than an exponential (likelihood-ratio test, p<0.05); the annual series are strongly bursty (Fano factor > 5). Pre-registered robustness: the same decay shape must hold inside single excavation-defined collections, so it is not a lot-purchase artifact.
Kill-dataset (verbatim)
Kill: CDLI dated tablets per provenience per year (non-random local batch; within-collection check required). Exponential decay winning at most sites, or p outside 0.4-2.0, kills it.
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 has been linked to the following subject pages on Inferpedia — an encyclopedia of the missing, now in limited preview.
Provenance
Run: Fresh agent generation · model: claude-fable-5
Generated by a fresh Fable-tier instance at maximum effort with generation-first blindness (no repo reads, no searches, no DB queries); title list supplied at launch, titles only, no verdicts or dossiers seen; prompt pre-committed in docs/GOAL_CONJECTURES_BATCH2_20260705.md (7e55eb8). Novelty unverified by construction.
Novelty / leakage triage
anticipated in the literature — this exact test has never been run
Omori-law transplants to non-seismic bursty series are established (book sales, blog response, bankruptcy cascades), and quantitative modeling of a cuneiform archive's temporal shape exists (Nuzi: logistic growth to saturation at destruction) — the same object's time series, different phase. The post-peak Omori decay fit on archival deposition was not located.
- 'Computational Dating for the Nuzi Cuneiform Archive' (arXiv 2308.12883) — Archive time-series modeling, rise phase
- 'Endogenous Versus Exogenous Shocks in Complex Networks: Book Sale Ranking' (arXiv cond-mat/0310135) — The Omori transplant pattern
Predictions
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