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Hollow ways are slime mold

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)

Hollow ways are slime mold. Around the Bronze Age tells of northern Mesopotamia, millennia of feet and hooves wore the landscape into 'hollow ways' — sunken route networks still visible in Cold War CORONA satellite imagery. The slime mold Physarum polycephalum famously grows near-optimal transport networks between food sources by reinforcing well-used tubes and pruning idle ones; worn paths obey the same logic, since heavily used routes deepen and attract still more traffic. The conjecture is that the two processes converge on the same geometry: given tell sizes as sources and sinks, a Physarum-style adaptive-transport simulation should reproduce the actual hollow-way network — which links exist and which do not — substantially better than chance. Ancient traffic, in other words, solved the same optimization problem the organism solves.

Prediction clause (verbatim)

For each surveyed region in the CORONA-imagery hollow-way maps, run a Physarum-style adaptive-network simulation with tells as sources and sinks weighted by tell size, generating a predicted route network, and compare it link-by-link against the mapped hollow ways. Primary clause: the simulation recovers observed links with precision and recall both ≥ 0.6 and beats null models (proximity/Delaunay graphs with the same edge count) on F-score in at least two independent survey regions. The verdict follows the primary clause.

Kill-dataset (verbatim)

CORONA-imagery hollow-way maps vs simulation.

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: Imported conversation (verbatim harvest) · model: claude-fable-5

Origin: operator conversation with Claude Fable 5 at max effort, conducted 2026-07-03, relayed verbatim by the operator into the shepherd session on 2026-07-04. No ModelRun exists for the original generation (it happened outside the pipeline); this transcript file is the canonical capture. Transcript path: docs/generated/conjecture_harvest_fablemax_20260703.md. Model (operator-attested, not pipeline-recorded): claude-fable-5. Novelty disclaimer (verbatim, load-bearing -- rule 4): "Same caveat as before, doubled: at 100 items across all of archaeology and history, some of these will have cousins in the literature I can't check. What I can guarantee is the format — each links two things not normally linked, and each names the dataset or measurement that would kill it."

Novelty / leakage triage

anticipated in the literature — this exact test has never been run

The hollow-way corpus is mapped at scale (Ur's CORONA work, 6,000+ km) and quantitative network/scaling analyses of these route systems exist ('Urban and Transport Scaling: Northern Mesopotamia'). A Physarum-style optimal-transport comparison with tell sizes as sources was not located — but the data and network formalization groundwork is published, so this is a new test on an established quantified object, not a new join of unconnected fields.

Predictions

No prediction registered yet.

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