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.
Mapping the minds of LLMs: A graph-based analysis of reasoningLLMs
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
TraceGraph constructs shared state graphs from multi-model trajectories to expose productive cores and trap regions, then uses them to diagnose navigation differences across benchmarks and to drive a recovery pipeline that improves SWE-bench resolved rates by 3-4 points on fired instances.
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.
-
TraceGraph: Shared Decision Landscapes for Diagnosing and Improving Agent Trajectories
TraceGraph constructs shared state graphs from multi-model trajectories to expose productive cores and trap regions, then uses them to diagnose navigation differences across benchmarks and to drive a recovery pipeline that improves SWE-bench resolved rates by 3-4 points on fired instances.