Loading Error
From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-10.)
Loading Error has 3 facts recorded in Dontopedia across 2 references, with 1 live disagreement.
Maturity scale
raw canonical shape-checked rule-derived certifiedInbound mentions (7)
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.
addressedAddressed(1)
- Assistant
ex:assistant
encountersErrorEncounters Error(1)
- Trove
ex:trove
experiencedExperienced(1)
- User
ex:user
experiencesFailureExperiences Failure(1)
- Trove
ex:trove
hasProblemHas Problem(1)
- Personality.json
ex:personality.json
precedesSourceTextPrecedes Source Text(1)
- Trove Search Page
ex:trove-search-page
reportedProblemReported Problem(1)
- User
ex:user
Other facts (3)
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 | Error State | [1] |
| Rdf:type | Debugging Issue | [2] |
| Occurred During | Load Model | [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/omega/74- full textomega-74text/plain2 KB
doc:agent/omega-74/3c090f64-d891-4b64-97f1-04ebac04c528Show excerpt
[2025-11-15 14:51] omega [bot]: **🔧 Tool 1/1: githubCreateIssue** **Arguments:** ```json { "title": "Remove personality.json and Update Agent Prompt for Personality Configuration", "body": "User ajaxdavis has requested to remove the pe…
ctx:claims/beam/d2497b92-c1b1-4933-b406-4337b2e33d28- full textbeam-chunktext/plain1 KB
doc:beam/d2497b92-c1b1-4933-b406-4337b2e33d28Show excerpt
optimizer.load_state_dict(checkpoint['optimizer_state_dict']) return model, optimizer # Save the model at version 1 save_model(1, model, optimizer) # Load the model at version 1 model, optimizer = load_model(1, model, optimizer) `…
See also
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