Output Projection
From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-06.)
Output Projection has 9 facts recorded in Dontopedia across 4 references, with 1 live disagreement.
Mostly:rdf:type(2), spans lines(1), causes loss reduction(1)
Maturity scale
raw canonical shape-checked rule-derived certifiedInbound mentions (2)
Other subjects in dontopedia point AT this entity as a value. These are inverse relationships — e.g. "X motherOf this subject" — and answer questions the forward facts can't. Grouped by predicate.
identifiesInsertionPointBeforeIdentifies Insertion Point Before(1)
- Xenonfun
ex:xenonfun
locatedBeforeLocated Before(1)
- Insertion Point
ex:insertion-point
Other facts (9)
The long tail: predicates that appear too rarely to warrant their own section. Filter or scroll to find a specific one. Each row links to its source.
| Predicate | Value | Ref |
|---|---|---|
| Rdf:type | Code Location | [3] |
| Rdf:type | Model Component | [4] |
| Spans Lines | 372-376 | [1] |
| Causes Loss Reduction | Loss | [2] |
| Dominates Loss Reduction | true | [2] |
| Learns to Scale Features | true | [2] |
| Has Line Number | 372 | [3] |
| Role in Training | dominating loss reduction | [4] |
| Behavior Description | learning to scale the features | [4] |
Timeline
Timeline axis is valid_time — when each source says the fact was true in the world, not when Dontopedia learned about it. Retracted rows are kept for provenance; coloured stripes indicate the context kind.
References (4)
ctx:discord/blah/watt-activation/part-371ctx:discord/blah/watt-activation/part-500ctx:discord/blah/watt-activation/369- full textwatt-activation-369text/plain2 KB
doc:agent/watt-activation-369/0cb2b937-fe59-4554-9b34-62ddb285f694Show excerpt
[2026-03-18 16:16] xenonfun: Yes — this is very relevant, and it changes the ranking. Given: S1 plateauing again at 4.1% DC continuing to rise and the fact that you already have AnchorKAN implemented and tested I would now rank the mec…
ctx:discord/blah/watt-activation/497- full textwatt-activation-497text/plain2 KB
doc:agent/watt-activation-497/e72fbd50-bc16-4a38-8957-fe8531b9864cShow excerpt
[2026-03-22 17:52] xenonfun: if I am seeing this correct we are using 8 MB of memory. ⏺ The FD training is diverging — omega and gamma blowing up. The Euler ODE integrator is unstable at these parameter scales. This needs: 1. Much lower …
See also
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