Text Conditioning
From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-06.)
Text Conditioning has 11 facts recorded in Dontopedia across 4 references, with 1 live disagreement.
Mostly:rdf:type(2), is weak(1), should propagate to(1)
Maturity scale
raw canonical shape-checked rule-derived certifiedInbound mentions (1)
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forFor(1)
- Cross Coupling Fix
ex:cross-coupling-fix
Other facts (11)
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 | Model Feature | [3] |
| Rdf:type | Task | [4] |
| Is Weak | Stage 1 | [1] |
| Should Propagate to | Patch Positions | [1] |
| Is Failing | Completely | [2] |
| Is Known to Fail | Across Prompts | [2] |
| Maps All Prompts to | Same Output | [2] |
| Depends on | Tok Emb Prefix Conditioning | [2] |
| Has Status | all-prompts-same-output | [2] |
| Strength at Stage | weak | [3] |
| Stage Context | Stage 1 | [3] |
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-253ctx:discord/blah/watt-activation/part-255ctx:discord/blah/watt-activation/252- full textwatt-activation-252text/plain3 KB
doc:agent/watt-activation-252/6d166c37-2aa4-4774-9f84-cbea16ee387fShow excerpt
[2026-03-12 14:37] xenonfun: Clean run. Summary: - 9.7 min, 293 img/s average — nailed the speed estimate - Train loss: 0.469 → 0.344 - Val loss: 0.447 → 0.330 (best at step 15500) - Best checkpoint: checkpoints/diffusion/best T…
ctx:discord/blah/watt-activation/255- full textwatt-activation-255text/plain2 KB
doc:agent/watt-activation-255/58fdaac3-b76b-40d0-b3ab-d254503f97f1Show excerpt
[2026-03-12 16:06] xenonfun: Audio is the killer app here — a mel spectrogram already IS a filterbank of phase-amplitude pairs. The current MelEncoder throws away the phase and compresses to d_model vectors. A phase-native encoder would k…
See also
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