What benchmarks, datasets, or evaluation methods did the radar first see today?
medium confidenceNot enough evidence
In this captured feed, the radar first observed a substantial set of artifacts today. Clearly described new releases included VICBench, FrontierFinance, Backtrader-Bench, InfraBench, Diagram-MMU, CTBench, Harness-IF, MobileJudgeBench, COMPINT, AutoWorldModel-Bench, and ArtiFact. First-seen updates included the DUSUNEN Turkish Retrieval Benchmark and QAMQOR. This is a highlight list, not a complete inventory.
The arrivals span software security, finance, trading, infrastructure operations, scientific diagrams, telecom troubleshooting, coding-agent behavior, mobile-agent judging, context compression, automated research, cultural heritage, Turkish retrieval, and therapy engagement. “First observed” means new to the radar’s history, not necessarily newly created or published.
Takeaway: Treat these as radar discoveries within a keyword-filtered feed. The release and update labels distinguish newly released records from changes to existing artifacts, but the supplied evidence does not cover every artifact first observed today.
Another reading: Many apparent arrivals may reflect collection novelty rather than field novelty. The evidence packet is incomplete relative to the registry’s total, and unavailable connectors could have changed which artifacts were captured.
- S016 artifacts first observed by the radar today: 96
Which of today's arrivals document how they score an answer?
medium confidenceNot enough evidence
The clearest arrivals are FrontierFinance, with source-linked rubrics; Backtrader-Bench, with independently re-derived choices and executable verification; Harness-IF, with rule-by-rule verdicts from execution evidence and an against-prior accuracy measure; and TRACES, with an explicit elicitation-and-scoring method. MobileJudgeBench compares automated judges against human-annotated trajectories, while token-econ-bench names completion, token use, duration, and cost as measures.
These records provide more than a task and answer set: they describe how an output becomes a score or verdict. Their approaches include checking against detailed criteria, rerunning code, inspecting execution evidence, applying a stated scoring procedure, comparing automated graders with people, or measuring task completion and resource use.
Takeaway: FrontierFinance, Backtrader-Bench, Harness-IF, and TRACES provide the clearest scoring descriptions in the supplied summaries. MobileJudgeBench and token-econ-bench are also relevant, although one studies graders and the other lists measures without showing the full aggregation procedure. The registry provides no complete count for this property.
Another reading: The packet contains summaries rather than full protocols, so “documents scoring” may overstate reproducibility. MobileJudgeBench evaluates competing judges instead of prescribing one answer-scoring rule, and token-econ-bench names measures without explaining how they combine into a final result.
- S016 artifacts first observed by the radar today: 96