Paper Citation Record · LEDGER

MasRouter: Learning to Route LLMs for Multi-Agent Systems

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 19 inbound Pith citation observations for arXiv:2502.11133.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2502.11133 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 19 of 19 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 19 of 19 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:24:12.120031Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-07-10T14:17:10.110073Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 700141a3-d6ac-400d-9a26-a0b487aeda3d · inbound

A Comprehensive Survey in LLM(-Agent) Full Stack Safety: Data, Training and Deployment cites this paper.

A Comprehensive Survey in LLM(-Agent) Full Stack Safety: Data, Training and Deployment MasRouter: Learning to Route LLMs for Multi-Agent Systems

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-16T11:24:12.120031Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b97aa271-da4d-4690-875d-1f7ec0258023 · inbound

LAMeTA: Intent-Aware Agentic Network Optimization via a Large AI Model-Empowered Two-Stage Approach cites this paper.

LAMeTA: Intent-Aware Agentic Network Optimization via a Large AI Model-Empowered Two-Stage Approach MasRouter: Learning to Route LLMs for Multi-Agent Systems

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-15T20:42:57.130195Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c885b066-ba05-4f35-8790-977fb7e04a8b · inbound

X-MAS: Towards Building Multi-Agent Systems with Heterogeneous LLMs cites this paper.

X-MAS: Towards Building Multi-Agent Systems with Heterogeneous LLMs MasRouter: Learning to Route LLMs for Multi-Agent Systems

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-07T14:56:17.289868Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9b39dd11-e351-4362-8612-8e1e3f196224 · inbound

G-Memory: Tracing Hierarchical Memory for Multi-Agent Systems cites this paper.

G-Memory: Tracing Hierarchical Memory for Multi-Agent Systems MasRouter: Learning to Route LLMs for Multi-Agent Systems

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-07T05:39:58.860263Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 81e18702-0380-4c05-9387-8926490a336e · inbound

MasHost Builds It All: Autonomous Multi-Agent System Directed by Reinforcement Learning cites this paper.

MasHost Builds It All: Autonomous Multi-Agent System Directed by Reinforcement Learning MasRouter: Learning to Route LLMs for Multi-Agent Systems

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-07T05:15:46.359847Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0e85ad97-f860-4147-a09b-731044672be6 · inbound

Exploring Advanced LLM Multi-Agent Systems Based on Blackboard Architecture cites this paper.

Exploring Advanced LLM Multi-Agent Systems Based on Blackboard Architecture MasRouter: Learning to Route LLMs for Multi-Agent Systems

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-06T20:51:15.192347Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b48bc64c-904f-4df0-a7cb-6e67b07ca297 · inbound

CoE-Ops: Collaboration of LLM-based Experts for AIOps Question-Answering cites this paper.

CoE-Ops: Collaboration of LLM-based Experts for AIOps Question-Answering MasRouter: Learning to Route LLMs for Multi-Agent Systems

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-15T18:09:39.683809Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1588a4c5-17be-4110-bbc2-86b30e6c55a9 · inbound

How can we assess human-agent interactions? Case studies in software agent design cites this paper.

How can we assess human-agent interactions? Case studies in software agent design MasRouter: Learning to Route LLMs for Multi-Agent Systems

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-04T10:36:40.827730Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation be43a0b1-2a14-4e78-8603-84096a871b26 · inbound

Adaptive Minds: Empowering Agents with LoRA-as-Tools cites this paper.

Adaptive Minds: Empowering Agents with LoRA-as-Tools MasRouter: Learning to Route LLMs for Multi-Agent Systems

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-04T09:26:26.270640Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 95da596f-4ea4-4ed2-a764-d6ba84c77303 · inbound

TRINITY: An Evolved LLM Coordinator cites this paper.

TRINITY: An Evolved LLM Coordinator MasRouter: Learning to Route LLMs for Multi-Agent Systems

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-05-17T01:21:24.793727Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 1fcedbf2-8195-4d1f-9d1f-65ae97d8b4cf · inbound

Emergent Social Intelligence Risks in Generative Multi-Agent Systems cites this paper.

Emergent Social Intelligence Risks in Generative Multi-Agent Systems MasRouter: Learning to Route LLMs for Multi-Agent Systems

Reference 138

Resolution: verified exact; arxiv_id, observed 2026-05-14T21:48:00.809596Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation f90b0958-ba2b-44ab-a44c-f259a777fe28 · inbound

EMS: Multi-Agent Voting via Efficient Majority-then-Stopping cites this paper.

EMS: Multi-Agent Voting via Efficient Majority-then-Stopping MasRouter: Learning to Route LLMs for Multi-Agent Systems

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-05-13T19:58:12.174032Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation dede7678-f3da-411e-aaec-e7e5ba4fc5a5 · inbound

Retrieval-Conditioned Topology Selection with Provable Budget Conservation for Multi-Agent Code Generation cites this paper.

Retrieval-Conditioned Topology Selection with Provable Budget Conservation for Multi-Agent Code Generation MasRouter: Learning to Route LLMs for Multi-Agent Systems

Reference 103

Resolution: verified exact; arxiv_id, observed 2026-05-11T19:26:09.626020Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 0439b031-9c94-4654-9ed4-3460999fc7a7 · inbound

Learning Agent Routing From Early Experience cites this paper.

Learning Agent Routing From Early Experience MasRouter: Learning to Route LLMs for Multi-Agent Systems

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-05-11T04:35:57.609237Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 340c15ee-387c-41c6-aadb-a22a3024ff31 · inbound

FlowCompile: An Optimizing Compiler for Structured LLM Workflows cites this paper.

FlowCompile: An Optimizing Compiler for Structured LLM Workflows MasRouter: Learning to Route LLMs for Multi-Agent Systems

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-05-14T19:49:26.048646Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 3c224456-2835-4c6f-931a-79df02076664 · inbound

Critic-Guided Heterogeneous Multi-Agent Reasoning for Reliable Mathematical Problem Solving cites this paper.

Critic-Guided Heterogeneous Multi-Agent Reasoning for Reliable Mathematical Problem Solving MasRouter: Learning to Route LLMs for Multi-Agent Systems

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-07-02T13:16:58.645201Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation b8ab0ec9-26b4-4165-97aa-a3a5171d88dc · inbound

Who Broke the System? Failure Localization in LLM-Based Multi-Agent Systems cites this paper.

Who Broke the System? Failure Localization in LLM-Based Multi-Agent Systems MasRouter: Learning to Route LLMs for Multi-Agent Systems

Reference 92

Resolution: verified exact; local_arxiv, observed 2026-07-10T14:17:10.111429Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 705b7712-206a-441f-9014-5b53621344a6 · inbound

RouteGuard: Certifying Routing Gain in LLM Multi-Agent Systems When Complementarity Is Not Enough cites this paper.

RouteGuard: Certifying Routing Gain in LLM Multi-Agent Systems When Complementarity Is Not Enough MasRouter: Learning to Route LLMs for Multi-Agent Systems

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-11T00:37:48.058667Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8683b790-bb33-41de-827c-822ba7583240 · inbound

Beyond Tier Labels: Role- and Deployment-Dependent Model Substitution in Multi-Call LLM Workflows cites this paper.

Beyond Tier Labels: Role- and Deployment-Dependent Model Substitution in Multi-Call LLM Workflows MasRouter: Learning to Route LLMs for Multi-Agent Systems

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-11T22:33:34.030352Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.