Claims

VeriForge's integrated workflow is associated with higher one-week delayed recall of domain terms and a higher retention rate (exploratory)

Claim · All claims
Evidence · 1 study (2 entries) · causal r1 · q2 · i3 large
Currency · newest study 2026 · not yet checked against its sources · not reviewed by a person

Subclaims

Reading the evidence codes

q is the design tier, i the impact, n the sample, and the kind with its r the rigour judged within that kind: what each code means.

This claim: no standardized effect is recorded in observations/ for it yet, so no benchmark reading is possible.

q2 i3 Participants recalled more domain-specific terms from the VeriForge condition (M=8.04 vs M=5.75; p=.008, r=.891). → Ruqi Sun 2026 q2 i3 The retention rate — proportion of original-snippet domain terms reappearing in recall — was also higher under VeriForge (M=.465 vs M=.321; p=.002, r=.883). → Ruqi Sun 2026 (2)

Evidence

Ruqi Sun 2026

Ruqi Sun, Jiaping Li, Wenhui Tao, Ximing Zheng, Yuefeng Tan, Jiahao Wei, and Yuxin Ma. (2026). VeriForge: Mitigating Latent Knowledge Gaps in Narrative Drafting via Mixed-Initiative Scaffolding. https://arxiv.org/abs/2608.09698 doi:10.48550/arxiv.2608.09698

q2 · i3 · causal · r1

Exploratory delayed recall task one week after the main session, with two researchers independently coding domain-specific terms; inter-rater reliability ICC(A,1)=.880 baseline, .790 VeriForge. The printed effect size is r=.891. These tests were not FDR-corrected.

"Participants recalled more domain-specific terms from the VeriForge condition ( 𝑀= 8.04vs. 𝑀= 5.75; 𝑝=. 008,𝑟=. 891)."

Ruqi Sun 2026 (2)

Ruqi Sun, Jiaping Li, Wenhui Tao, Ximing Zheng, Yuefeng Tan, Jiahao Wei, and Yuxin Ma. (2026). VeriForge: Mitigating Latent Knowledge Gaps in Narrative Drafting via Mixed-Initiative Scaffolding. https://arxiv.org/abs/2608.09698

q2 · i3 · causal · r1

Retention-rate analysis from the same delayed recall task, printed effect size r=.883; the authors note the larger denominator under VeriForge makes this comparison more conservative, consistent with deeper encoding rather than mere increased exposure.

"the retention rate, measured as the proportion of domain terms from the original story that reappeared in the recall paragraph, was also higher under VeriForge (𝑀=. 465vs. 𝑀=. 321;𝑝=. 002,𝑟=. 883)."

Discussion

Learner Variables

Page metadata
Field Value
type claim
id veriforge-delayed-recall-retention-rate
title VeriForge's integrated workflow is associated with higher one-week delayed recall of domain terms and a higher retention rate (exploratory)
description VeriForge's integrated workflow is associated with higher one-week delayed recall of domain terms and a higher retention rate (exploratory)
status review
evidence_strength weak
newest_evidence 2026
generated by process:wiki-ingest on 2026-10-11
trust unverified — no one has confirmed this page's content
sources 2 — ruqi-sun-2026, ruqi-sun-2026-2

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