Unverified50% confidenceFactExact time
Evidence recall is the proportion of the source text fragments on which the final answer depends that were actually read in the trajectory, and it can be used to distinguish retrieval failures from transcription failures.
1
Sources
50%
Confidence
Long-term
Relevance
10/14/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedWhen the backend returns a success, the data may not have actually been written to the source of record, so verifying the final state of the source of record is the ultimate basis for confirming whether the operation completed.78% similarUnverifiedIn traditional document extraction pipelines, errors from the parsing stage are propagated layer by layer to the extraction stage, affecting the quality of the final results.74% similarUnverifiedEnd-to-end prompting methods entangle the three components of evidence retrieval, reasoning, and uncertainty estimation, making it difficult to pinpoint the source of errors.73% similarUnverifiedSending only the failed node and validation errors rather than the entire generated data stream during retries is the most straightforward subtraction optimization, provided that error information can be precisely localized.72% similarUnverifiedTraditional end-to-end evaluation only looks at whether the final result passes or fails, and cannot distinguish whether the failure occurred at the retrieval stage or the editing stage.71% similar
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