Running Statistics
From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-08.)
Running Statistics has 5 facts recorded in Dontopedia across 2 references, with 1 live disagreement.
Mostly:includes(2), per granularity(1), adds complexity to(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.
createsCreates(1)
- Batch Norm1d
ex:BatchNorm1d
requiresRequires(1)
- Incremental Kuramoto Sync
ex:incremental-kuramoto-sync
Other facts (5)
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 |
|---|---|---|
| Includes | Cos Phases Sum | [1] |
| Includes | Sin Phases Sum | [1] |
| Per Granularity | Past Timesteps Per Band | [1] |
| Adds Complexity to | State Dict | [1] |
| Rdf:type | Batch Normalization State | [2] |
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 (2)
ctx:discord/blah/watt-activation/109- full textwatt-activation-109text/plain3 KB
doc:agent/watt-activation-109/4ebcaf29-8e8c-435b-91fc-5790f13dba4dShow excerpt
[2026-03-08 21:13] xenonfun: ``` ⏺ All done. Here's the full summary of what the review found and fixed: Critical fixes: - _dtype_eps inconsistency — standardized all calls to use q_feat.dtype (not x.dtype) so forward/step match - Re…
ctx:claims/beam/56ec773d-331c-4612-b327-318a1a96426f- full textbeam-chunktext/plain1 KB
doc:beam/56ec773d-331c-4612-b327-318a1a96426fShow excerpt
```python import torch import torch.nn as nn import torch.optim as optim from torch.utils.data import DataLoader, TensorDataset # Example data preparation inputs = torch.randn(3000, 128) # Example input data labels = torch.randn(3000, 1) …
See also
Keep researching
Missing something or suspicious of what's here? Kick off a research session — a Claude agent will investigate, cite its sources, and file new facts into a dedicated context you can review before accepting into the shared view.