Provenance
PulseAugur coverage of Provenance — every cluster mentioning Provenance across labs, papers, and developer communities, ranked by signal.
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LLM quotes unreliable; anchors offer better provenance
A new method for extracting information from large language models suggests using "anchors" instead of direct quotes to ensure provenance and accuracy. This approach involves identifying short, specific phrases near the…
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LLM agent memory fix restores decision provenance
A developer has addressed a critical issue where LLM agent memory was being corrupted during a process called compaction. Previously, this process would strip essential source information from agent decisions, turning t…
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AI agent provenance vectors fail due to enforcement and persistence issues
A recent discussion on dev.to highlights two critical failure points for provenance vectors in AI agents: enforcement and persistence. The first issue, identified by Mykola, is that developers and even AI models themsel…
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New framework DEC enhances knowledge graphs with epistemic stance reasoning
Researchers have introduced DEC, a new framework designed to enhance knowledge graphs by interpreting provenance statements as indicators of epistemic stance. This approach groups statements into 'cognitive worlds' and …
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Provenance system proposed to verify information authenticity
A technical solution called Provenance is proposed to combat the growing challenge of AI-generated content deceiving users. This system aims to provide a reliable method for verifying the authenticity of information in …
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AI database agents need source trails for trustworthy answers
AI-powered database agents require a robust source trail to ensure the accuracy and trustworthiness of their answers. Without clear provenance, which includes details like the specific data source, schema version, metri…