A new surface taught in the field
A blue shop towel read as unknown on 34 consecutive reads. It was recorded, checked, and added on the device in about two seconds with no host and no retraining. It then read as itself on 7 of 10 reads, at scores of 0.426 to 0.462 against a threshold of 0.412, and every other surface still read as itself.
The predicted score was computed before the write and matched the measured score to two decimals.
A surface it declined to learn
A wax-coated paper plate was checked before writing and refused: it sat 0.898 from white polystyrene foam, close enough that adding it would have taken the neighbor down with it. It was added by rebuilding the catalog on the host instead, which separated the pair to 0.423, after which both read as themselves.
The check is the reason nothing was corrupted. The rebuild is a host step and it is not free.
A limit set by the sensor
Matte white paper and scuffed white plastic separate by 0.146 on 19 optical channels. The host predicted 0.144 before the session and the device measured 0.146. Both stay unresolved against each other, so the instrument says nothing.
The limit sits in the front end. More data does not move it. A different illumination band would.
Adding a label changes nothing that was already right
Across the campaign the catalog was rebuilt and re-pushed repeatedly, growing and once shrinking, and every deployed build from 37 labels through 50 has passed its gate with no wrong name, most recently across 1,219 reads on the 49-label catalog deployed today.
Labels that were thin at one build recovered at the next after more recordings were added. Thin labels heal by data, never by lowering a threshold.
It says squash when it cannot say which squash
Three squash species from a garden went into the catalog by leaf. On the deployed build the shared squash label asserts on 212 of 216 applicable reads, while the individual species assert less and decline the rest: buttercup 57 of 108, zucchini 63 of 84. The instrument reports the level the evidence supports and leaves the rest unresolved.
The species labels stay thin until more recordings of each plant exist. Their surface counts are published beside them.
Two labels that were identical until the data split them
Until this week every leaf in the catalog was recorded from the top, so leaf and leaf_top were carried by exactly the same recordings and nothing could tell them apart. A round of underside recordings later, with no change to the device or its software, leaf_top asserts on all 204 top-side reads with zero wrong assertions across all 120 underside reads, and leaf_bottom does the reverse.
The living label still spans exactly the same recordings as leaf, and the page treats it as unproven until a dried leaf is recorded.