Unverified50% confidenceFactExact time
The four test novelty levels are: entirely new puzzles, new combinations of known rules, rule pairings that have never appeared together, and rule instances never seen during training.
1
Sources
50%
Confidence
Long-term
Relevance
10/14/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedThe research trains a deep recursive model using various rule combinations and tests its performance at four different levels of novelty.70% similarUnverifiedThis test used a legacy codebase benchmark provided by community members, consisting of 34 functional questions divided into four difficulty tiers: easy, medium, hard, and finale.69% similarUnverifiedThe checklist for reading leaderboards includes: training set and test set must not overlap; when a perfect score appears, first suspect the questions are too simple; a positive difference does not equal a win; when acceleration techniques are enabled, first suspect the measurement tool.67% similarUnverifiedCommon detail-testing methods used by developers include jailbreak robustness testing, instruction-following consistency testing, and ambiguity resolution testing66% similarUnverifiedThe team proposed adding a dedicated test that enumerates each link in the chain by name, asserting that each exists in the registration path, actually runs, and fails when its test target is disabled.66% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/1028693API
curl https://kongchang.com/api/v1/knowledge/claims/1028693MCP
get_claim(id=1028693)