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EviGraph, which distinguishes critical decision requirements from information that can remain unresolved in a temporal knowledge graph, is introduced, suggesting that reliable evidence-based navigation depends on specifying what must be established for a decision, rather than simply adding more verification.
Offline replay should estimate what a discovery system could retrieve at a historical point, yet freezing the corpus leaves interaction memory unconstrained. We formalize point-in-time (PIT) discovery through historical state $(D_t, \theta_t, M_{<i})$ and introduce a paired replay that changes only memory availability....
SQLStructEval is introduced, a framework that analyzes this behavior through canonical abstract syntax tree representations and adopts a pipeline that first generates structured intermediate representations and then deterministically compiles them into SQL, improving execution accuracy and structural agreement among co...
Jev has the lowest cost and median response time among the evaluated configurations, while hosted language models achieve higher baseline accuracy and Rankings by baseline accuracy differ from rankings by correctness across every condition and repeat, although small differences in the latter do not establish a general...
GraphEcho provides a controlled way to evaluate both what graph agents conclude and whether their exploration reaches distinct evidential sources, and exposes a gap between efficient exploration and effective evidence use.
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