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pith:CZGDPYCF

pith:2026:CZGDPYCFJZVLXOX7ONKWZNFOJU
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STAR: Failure-Aware Markovian Routing for Multi-Agent Spatiotemporal Reasoning

Flora D. Salim, Hao Xue, Lihuan Li, Ruiyi Yang

STAR models inter-agent routing as a Markovian transition policy conditioned on typed failure states to learn specific recovery transitions from unsuccessful traces.

arxiv:2605.10057 v3 · 2026-05-11 · cs.AI · cs.MA

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Claims

C1strongest claim

Results prove that retaining unsuccessful traces during training enlarges the support of the routing policy on error states, enabling recovery transitions that success-only training cannot represent. Across three spatiotemporal benchmarks and eight backbone LLMs, STAR improves over multiple baselines with the clearest gains on queries whose execution deviates from the nominal routing path.

C2weakest assumption

The framework assumes that failure states can be accurately and consistently typed into distinct categories (malformed outputs, missing dependencies, tool-query mismatches) during execution, allowing the routing matrix to condition recovery transitions on these types rather than collapsing them into a generic signal, as described in the central routing mechanism.

C3one line summary

STAR presents a failure-aware routing framework using a state-conditioned transition policy and an agent routing matrix combining expert routes with learned recoveries from execution traces to improve multi-agent spatiotemporal reasoning.

References

32 extracted · 32 resolved · 6 Pith anchors

[1] Can large language models be good path planners? a benchmark and investigation on spatial-temporal reasoning 2023
[2] Graph of thoughts: Solving elaborate problems with large language models 2024
[3] V-star: Bench- marking video-llms on video spatio-temporal reasoning 2025
[4] From LLM Reasoning to Autonomous AI Agents: A Comprehensive Review 2025 · arXiv:2504.19678
[5] Tremu: Towards neuro-symbolic temporal reasoning for llm-agents with memory in multi-session dialogues 2025

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First computed 2026-05-20T00:00:42.355644Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

164c37e0454e6abbbaff73556cb4ae4d3cf8b933aa253aa863d9532a9550d0dd

Aliases

arxiv: 2605.10057 · arxiv_version: 2605.10057v3 · doi: 10.48550/arxiv.2605.10057 · pith_short_12: CZGDPYCFJZVL · pith_short_16: CZGDPYCFJZVLXOX7 · pith_short_8: CZGDPYCF
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curl -sH 'Accept: application/ld+json' https://pith.science/pith/CZGDPYCFJZVLXOX7ONKWZNFOJU \
  | jq -c '.canonical_record' \
  | python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
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Canonical record JSON
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