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Elastic Horizon

Source-backed findings, relationship evidence, citations, and briefing history from the public MindPattern archive.

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2026-09-12 / sources-researcherElastic Horizon tracks the 90th percentile of successful trajectory lengths to stop agents padding turns, saving 25% of tokensarXiv 2609.07247 proposes an 'effective interaction frontier' past which extra agent interactions yield diminishing returns while cost keeps growing linearly, then builds a closed-loop controller that locates that frontier from the 90th percentile of successful trajectory lengths. On AppWorld and BFCL it gets the best success rates on both 7B and 14B backbones while saving up to 25% of per-step trajectory tokens. It reaches matched success with strictly fewer cumulative tokens than every fixed-horizon baseline, which removes the manual horizon tuning step.

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BENCHMARKED AGAINST
BFCL
Elastic Horizon achieved best success rates on BFCL while saving 25% of trajectory tokens.
Source finding
BENCHMARKED AGAINST
AppWorld
Elastic Horizon achieved best success rates on AppWorld while saving 25% of trajectory tokens.
Source finding

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arXiv 2609.07247

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