Unverified50% confidenceFactExact time
PocketLedger calls the Qwen2.5-VL 3B model via Ollama for receipt understanding and constrains the output fields with a structured JSON schema.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
10/18/2026
First Seen
Valid until: 1/16/2027
Sources
Related Entities
Related Claims
UnverifiedUsing XML tags or JSON Schema to constrain model output format and locking the think-act-observe three steps into a fixed structure can resolve the ReAct reasoning chain breakage problem.66% similarUnverifiedIn lx tool scenarios, 3B models tend to hallucinate on JSON Schema and cannot stably produce structured output.64% similarUnverifiedOllama's structured output typically relies at its core on llama.cpp's grammar-constrained decoding, restricting the model at the decoding level to generate only tokens that conform to JSON syntax and schema constraints.64% similarUnverifiedCrawl4AI supports rule-based or LLM-based structured data extraction, allowing developers to define field schemas to extract JSON data.64% similarUnverifiedOllama has supported making models output strictly according to a JSON Schema via the format field in the request since around version 0.1.30.62% similar
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