SliceGraph maps process isomers in multi-run CoT reasoning, finding that 85.5% of 954 problem-model cells show correct trajectories splitting into multiple process families with 76.6% of run pairs cross-family on average.
Title resolution pending
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
fields
cs.AI 2years
2026 2verdicts
UNVERDICTED 2representative citing papers
DenoiseRL optimizes recovery from noisy prefixes in weak-model reasoning failures to improve performance and self-correction on math and general reasoning benchmarks without external supervision.
citing papers explorer
-
SliceGraph: Mapping Process Isomers in Multi-Run Chain-of-Thought Reasoning
SliceGraph maps process isomers in multi-run CoT reasoning, finding that 85.5% of 954 problem-model cells show correct trajectories splitting into multiple process families with 76.6% of run pairs cross-family on average.
-
DenoiseRL: Bootstrapping Reasoning Models to Recover from Noisy Prefixes
DenoiseRL optimizes recovery from noisy prefixes in weak-model reasoning failures to improve performance and self-correction on math and general reasoning benchmarks without external supervision.