Cause 2
From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-11.)
Cause 2 is used detection-datasets/coco which has bounding boxes, not captions.
Mostly:rdf:type(4), description(1), describes(1)
Maturity scale
raw canonical shape-checked rule-derived certifiedInbound mentions (3)
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.
causeCause(1)
- Issue 2
ex:issue-2
causedByEitherCaused by Either(1)
- Token Indices Error
ex:token-indices-error
hasSubItemHas Sub Item(1)
- Step 1
ex:step-1
Other facts (12)
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 | Root Cause | [1] |
| Rdf:type | Data Scale Issue | [2] |
| Rdf:type | Sequence Length Exceedance | [3] |
| Rdf:type | Listed Cause | [4] |
| Description | used detection-datasets/coco which has bounding boxes, not captions | [1] |
| Describes | Token Indices Exceed Sequence Length | [3] |
| Elaboration | Elaboration 2 | [4] |
| Mechanism | Parameter Settings | [4] |
| Elaborates on | Llm Configuration | [4] |
| List Index | 2 | [4] |
| Has Bold Label | Llm Configuration | [4] |
| Contains Example Marker | E G Marker | [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/243- full textwatt-activation-243text/plain3 KB
doc:agent/watt-activation-243/14f8ddd1-c20c-4aa1-99ee-73dc849eba12Show excerpt
[2026-03-12 05:04] xenonfun: ⏺ While we wait for the image data to re-prep, let me summarize the issues found and fixed: Problems found: 1. tok/s inflated — was averaging all modality step times but computing tokens as bs*seq which onl…
ctx:claims/beam/daafd359-0fc9-4026-9a83-26b7334abfe5- full textbeam-chunktext/plain1 KB
doc:beam/daafd359-0fc9-4026-9a83-26b7334abfe5Show excerpt
By following these steps, you should be able to reduce the dense search latency under 180ms for 90% of your daily requests while maintaining efficient caching. [Turn 6434] User: I'm experiencing "MemoryAllocationError" impacting 12% of vec…
ctx:claims/beam/ca8c9005-4d57-4964-962e-89fb4f1bbfb5- full textbeam-chunktext/plain1 KB
doc:beam/ca8c9005-4d57-4964-962e-89fb4f1bbfb5Show excerpt
[Turn 7901] Assistant: Certainly! The error message "Token indices must be between 0 and 511" typically indicates that the token indices in your input sequence are exceeding the model's vocabulary size or the maximum sequence length it can …
ctx:claims/beam/3c9a494b-34ac-43aa-8969-31548b6f9db4- full textbeam-chunktext/plain1 KB
doc:beam/3c9a494b-34ac-43aa-8969-31548b6f9db4Show excerpt
# Perform some analysis on the data (e.g., calculate statistics) stats = data.describe() return stats # Test the function stats = analyze_data(data) print("Data statistics:", stats) ``` ->-> 4,10 [Turn 10489] Assistant: Certai…
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.