Architecture Summary
From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-09.)
Architecture Summary has 7 facts recorded in Dontopedia across 3 references, with 1 live disagreement.
Mostly:rdf:type(3), description(1), rdfs:label(1)
Maturity scale
raw canonical shape-checked rule-derived certifiedRdf:typein disputerdf:type
- Neural Network Spec[1]all time · Fa097ab4 7c54 4d7c Bce6 50883cbc7667
- Section[3]sourceall time · 845a6907 Ed34 463a 9173 Bf20dfde1501
- Technical Summary[2]all time · 77
Descriptiondescription
- 3-layer-MLP-with-dropout[1]all time · Fa097ab4 7c54 4d7c Bce6 50883cbc7667
Rdfs:labelrdfs:label
- Architecture Summary[3]sourceall time · 845a6907 Ed34 463a 9173 Bf20dfde1501
Has Core AlgebrahasCoreAlgebra
- Core Algebra[2]sourceall time · 77
Summarizes ImplementationsummarizesImplementation
- Anchor Kan Attention[2]sourceall time · 77
Inbound mentions (1)
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.
includesArchitectureSummaryIncludes Architecture Summary(1)
- Message 2026 03 07 18 47
ex:message-2026-03-07-18-47
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 (3)
- custom
ctx:claims/beam/fa097ab4-7c54-4d7c-bce6-50883cbc7667 - custom
ctx:discord/blah/watt-activation/77- full textwatt-activation-77text/plain3 KB
doc:agent/watt-activation-77/59dddcca-2e06-4d74-9254-03846e959489Show excerpt
[2026-03-07 18:47] xenonfun: It wrote a fused metal kernel, tho I think we are going to have it also do mlx path shortly: ``` Architecture Summary Training path — chunked prefix scan: - _anchor_kan_forward_chunked() processes chunks o…
- custom
ctx:claims/beam/845a6907-ed34-463a-9173-bf20dfde1501- full textbeam-chunktext/plain1 KB
doc:beam/845a6907-ed34-463a-9173-bf20dfde1501Show excerpt
FieldSchema(name="id", dtype=DataType.INT64, is_primary=True, auto_id=True), FieldSchema(name="embedding", dtype=DataType.FLOAT_VECTOR, dim=128) ] schema = CollectionSchema(fields, "Test Collection") # Create a collection collectio…
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.