# Evidence Graph

A single triple-axis neutron measurement draws on papers, instrument logs, data files and specialist software, and that evidence was previously scattered across separate stages with no traceable link. TASCopilot records sources, processing steps and human review decisions as an inspectable evidence chain, while language models only extract information and explain results; scientific calculations, validation rules and human review decide whether evidence can support a claim. On the BT-7 spectrometer at the NIST Center for Neutron Research it recovered a sample rotation deliberately parked 40° away to within 0.08° of the orientation-matrix prediction, and completed 40 adaptive measurement points with all 40 counted and no refusals.

A single triple-axis neutron measurement draws on papers, instrument logs, data files and specialist software, and that evidence was previously scattered across separate stages with no traceable link. TASCopilot records sources, processing steps and human review decisions as an inspectable evidence chain, while language models only extract information and explain results; scientific calculations, validation rules and human review decide whether evidence can support a claim. On the BT-7 spectrometer at the NIST Center for Neutron Research it recovered a sample rotation deliberately parked 40° away to within 0.08° of the orientation-matrix prediction, and completed 40 adaptive measurement points with all 40 counted and no refusals.

A memory layer for agents doing cross-document reasoning now has a controlled comparison: on 111 synthetic insurance documents, an agent using the OpenWiki-compiled wiki reached 0.52 accuracy on 50 questions requiring connections across sources, against 0.10 with keyword search alone; adding an evidence graph built from citations and document references raised accuracy a further 27%, doubled citation consistency and cut cost per correct answer by 58%. On simple lookups the two conditions were about equal, so the wiki brought no advantage there.

A memory layer for agents doing cross-document reasoning now has a controlled comparison: on 111 synthetic insurance documents, an agent using the OpenWiki-compiled wiki reached 0.52 accuracy on 50 questions requiring connections across sources, against 0.10 with keyword search alone; adding an evidence graph built from citations and document references raised accuracy a further 27%, doubled citation consistency and cut cost per correct answer by 58%. On simple lookups the two conditions were about equal, so the wiki brought no advantage there.