MoRSE: Task-Oriented Multi-Agent System with Mixture of Role-Subtask Experts | Paper Citation Record

Observation 10386f7b-0129-45d2-95d9-ee1608f4c47f · outbound

This paper cites Deepseekmoe: Towards ultimate expert specializa- tion in mixture-of-experts language models.

MoRSE: Task-Oriented Multi-Agent System with Mixture of Role-Subtask Experts Deepseekmoe: Towards ultimate expert specializa- tion in mixture-of-experts language models

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:31:58.824443Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 5a906003-34eb-4745-ae15-7db7ad6549ca · outbound

This paper cites LoRAMoE: Alleviate World Knowledge Forgetting in Large Language Models via MoE-Style Plugin.

MoRSE: Task-Oriented Multi-Agent System with Mixture of Role-Subtask Experts LoRAMoE: Alleviate World Knowledge Forgetting in Large Language Models via MoE-Style Plugin

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-15T14:31:57.647584Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 383db869-4f4d-482e-add4-68caf461da97 · outbound

This paper cites Improving Factuality and Reasoning in Language Models through Multiagent Debate.

MoRSE: Task-Oriented Multi-Agent System with Mixture of Role-Subtask Experts Improving Factuality and Reasoning in Language Models through Multiagent Debate

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-15T14:31:57.651869Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3bc86d17-1f7f-455c-9a94-4728a412b178 · outbound

This paper cites Group-in-group policy optimization for LLM agent training.

MoRSE: Task-Oriented Multi-Agent System with Mixture of Role-Subtask Experts Group-in-group policy optimization for LLM agent training

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-15T14:31:57.656136Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d84b96e6-fcb3-4035-ba84-5bce6724a448 · outbound

This paper cites Mixture-of-loras: An efficient multitask tuning method for large language models.

MoRSE: Task-Oriented Multi-Agent System with Mixture of Role-Subtask Experts Mixture-of-loras: An efficient multitask tuning method for large language models

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:31:58.806352Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 62624793-8643-4545-aa6c-9bb8b3f6f3e3 · outbound

This paper cites Higher Layers Need More LoRA Experts.

MoRSE: Task-Oriented Multi-Agent System with Mixture of Role-Subtask Experts Higher Layers Need More LoRA Experts

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-15T14:31:57.664276Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8297f7da-dc86-4427-9322-f2a66aaa4e9d · outbound

This paper cites Variance reduction techniques for gradient estimates in reinforcement learning.Journal of Machine Learning Research, 5(Nov): 1471–1530, 2004.

MoRSE: Task-Oriented Multi-Agent System with Mixture of Role-Subtask Experts Variance reduction techniques for gradient estimates in reinforcement learning.Journal of Machine Learning Research, 5(Nov): 1471–1530, 2004

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:31:58.795748Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation a4893d53-cc59-4c23-93ee-ce1491e16bbc · outbound

This paper cites Large Language Model based Multi-Agents: A Survey of Progress and Challenges.

MoRSE: Task-Oriented Multi-Agent System with Mixture of Role-Subtask Experts Large Language Model based Multi-Agents: A Survey of Progress and Challenges

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-15T14:31:57.671872Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 06510668-4020-42a6-bcc5-323a24aa88e4 · outbound

This paper cites Grassmann discriminant analysis: a unifying view on subspace- based learning.

MoRSE: Task-Oriented Multi-Agent System with Mixture of Role-Subtask Experts Grassmann discriminant analysis: a unifying view on subspace- based learning

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:31:58.784065Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 625126b0-8a57-49b5-b97d-c5814ca36bb5 · outbound

This paper cites Moragent: Parameter efficient agent tuning with mixture-of-roles.arXiv preprint arXiv:2512.21708, 2025.

MoRSE: Task-Oriented Multi-Agent System with Mixture of Role-Subtask Experts Moragent: Parameter efficient agent tuning with mixture-of-roles.arXiv preprint arXiv:2512.21708, 2025

Reference 10

Resolution: verified exact; raw_fallback, observed 2026-08-15T14:31:58.546054Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 0226ad0b-3bd7-4e2a-ae57-e2587e713a72 · outbound

This paper cites Hierarchy-of-groups policy optimization for long-horizon agentic tasks.arXiv preprint arXiv:2602.22817, 2026.

MoRSE: Task-Oriented Multi-Agent System with Mixture of Role-Subtask Experts Hierarchy-of-groups policy optimization for long-horizon agentic tasks.arXiv preprint arXiv:2602.22817, 2026

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-15T14:31:57.683674Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b0ecf800-580b-44ed-84cd-1d60d319cde7 · outbound

This paper cites Metagpt: Meta programming for a multi-agent collaborative framework.

MoRSE: Task-Oriented Multi-Agent System with Mixture of Role-Subtask Experts Metagpt: Meta programming for a multi-agent collaborative framework

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-15T14:31:57.687363Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 78b15aea-d02b-46a2-b2c8-49a869c78ef6 · outbound

This paper cites LoRA: Low-Rank Adaptation of Large Language Models.

MoRSE: Task-Oriented Multi-Agent System with Mixture of Role-Subtask Experts LoRA: Low-Rank Adaptation of Large Language Models

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-15T14:31:57.690858Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 65e985b1-b2c2-4c77-bbb5-dd609858115d · outbound

This paper cites Moe-grpo: Optimizing mixture-of-experts via reinforcement learning in vision-language models.arXiv preprint arXiv:2603.24984, 2026.

MoRSE: Task-Oriented Multi-Agent System with Mixture of Role-Subtask Experts Moe-grpo: Optimizing mixture-of-experts via reinforcement learning in vision-language models.arXiv preprint arXiv:2603.24984, 2026

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-15T14:31:57.694689Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 708beec4-da55-42a6-8723-ff1bc6338783 · outbound

This paper cites Similarity of neural network representations revisited.

MoRSE: Task-Oriented Multi-Agent System with Mixture of Role-Subtask Experts Similarity of neural network representations revisited

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-15T14:31:57.698166Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f1692b87-34a7-405d-9f81-9ad04ce52aa8 · outbound

This paper cites Execution-grounded credit assignment for grpo in code generation.arXiv preprint arXiv:2603.16158, 2026.

MoRSE: Task-Oriented Multi-Agent System with Mixture of Role-Subtask Experts Execution-grounded credit assignment for grpo in code generation.arXiv preprint arXiv:2603.16158, 2026

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-15T14:31:57.701757Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6193bd14-1191-42cf-84cf-b5a6d11e8447 · outbound

This paper cites Hierarchical mixture of experts: Generalizable learning for high-level synthesis.

MoRSE: Task-Oriented Multi-Agent System with Mixture of Role-Subtask Experts Hierarchical mixture of experts: Generalizable learning for high-level synthesis

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:31:58.759781Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation d721d038-7222-4bb3-bfb9-159b6d229508 · outbound

This paper cites Beyond entangled planning: Task-decoupled planning for long-horizon agents.arXiv preprint arXiv:2601.07577, 2026.

MoRSE: Task-Oriented Multi-Agent System with Mixture of Role-Subtask Experts Beyond entangled planning: Task-decoupled planning for long-horizon agents.arXiv preprint arXiv:2601.07577, 2026

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-15T14:31:57.709134Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 92e17d1a-d46b-402e-90f5-755126482633 · outbound

This paper cites MARFT: Multi-Agent Reinforcement Fine-Tuning.

MoRSE: Task-Oriented Multi-Agent System with Mixture of Role-Subtask Experts MARFT: Multi-Agent Reinforcement Fine-Tuning

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-15T14:31:57.712831Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 74c8345e-3646-42da-8269-b9635aea271a · outbound

This paper cites Balancing the experts: Unlocking loRA-moe for GRPO via mechanism-aware rewards.

MoRSE: Task-Oriented Multi-Agent System with Mixture of Role-Subtask Experts Balancing the experts: Unlocking loRA-moe for GRPO via mechanism-aware rewards

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:31:58.748465Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 54a879a8-8168-4095-8b61-1c13baca1242 · outbound

This paper cites Stabilizing moe reinforcement learning by aligning training and inference routers.arXiv preprint arXiv:2510.11370, 2025.

MoRSE: Task-Oriented Multi-Agent System with Mixture of Role-Subtask Experts Stabilizing moe reinforcement learning by aligning training and inference routers.arXiv preprint arXiv:2510.11370, 2025

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-15T14:31:57.720290Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 77fe7238-db55-4cc2-8dfc-782309a96987 · outbound

This paper cites Locating and editing factual associations in gpt.Advances in neural information processing systems, 35:17359–17372, 2022.

MoRSE: Task-Oriented Multi-Agent System with Mixture of Role-Subtask Experts Locating and editing factual associations in gpt.Advances in neural information processing systems, 35:17359–17372, 2022

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-15T14:31:57.723664Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d3545db3-5edc-41d3-a069-4b70bccf2931 · outbound

This paper cites Grpo-λ: Credit assignment improves llm reasoning.arXiv preprint arXiv:2510.00194, 2025.

MoRSE: Task-Oriented Multi-Agent System with Mixture of Role-Subtask Experts Grpo-λ: Credit assignment improves llm reasoning.arXiv preprint arXiv:2510.00194, 2025

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-15T14:31:57.727172Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 16b86350-e047-4fdb-9c32-241f90e688ab · outbound

This paper cites ChatDev: Communicative Agents for Software Development.

MoRSE: Task-Oriented Multi-Agent System with Mixture of Role-Subtask Experts ChatDev: Communicative Agents for Software Development

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-15T14:31:57.730710Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 255e9042-f7e0-4909-a017-237f1d3efea9 · outbound

This paper cites Scaling Large Language Model-based Multi-Agent Collaboration.

MoRSE: Task-Oriented Multi-Agent System with Mixture of Role-Subtask Experts Scaling Large Language Model-based Multi-Agent Collaboration

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-15T14:31:57.734487Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 51e8a162-b3be-466c-9ff7-d585e27c0d71 · outbound

This paper cites Svcca: Singular vector canonical correlation analysis for deep learning dynamics and interpretability.Advances in neural information processing systems, 30, 2017.

MoRSE: Task-Oriented Multi-Agent System with Mixture of Role-Subtask Experts Svcca: Singular vector canonical correlation analysis for deep learning dynamics and interpretability.Advances in neural information processing systems, 30, 2017

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-15T14:31:57.738232Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ffd3b3c0-1074-406e-9595-6e1765fe4bd2 · outbound

This paper cites Proximal Policy Optimization Algorithms.

MoRSE: Task-Oriented Multi-Agent System with Mixture of Role-Subtask Experts Proximal Policy Optimization Algorithms

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-15T14:31:57.741741Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 03486128-2c83-4f0e-b728-cd8e94eacdfe · outbound

This paper cites DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models.

MoRSE: Task-Oriented Multi-Agent System with Mixture of Role-Subtask Experts DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-15T14:31:57.745869Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation befdac87-9c38-488f-9fb7-58aba9ae7c62 · outbound

This paper cites Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer.

MoRSE: Task-Oriented Multi-Agent System with Mixture of Role-Subtask Experts Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-15T14:31:57.749329Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6d386f34-a24b-4b4e-8baf-ab7337f08ed2 · outbound

This paper cites an unresolved cited work.

MoRSE: Task-Oriented Multi-Agent System with Mixture of Role-Subtask Experts Unresolved cited work

Reference 30

Resolution: unresolved; raw_fallback, observed 2026-08-15T14:31:58.724355Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation a6743a66-9dbf-4f15-bf68-4ff0d6715494 · outbound

This paper cites Bert rediscovers the classical nlp pipeline.

MoRSE: Task-Oriented Multi-Agent System with Mixture of Role-Subtask Experts Bert rediscovers the classical nlp pipeline

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-15T14:31:57.760513Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 711f1f70-4c1b-40a0-8e65-f5907d1b1eec · outbound

This paper cites Scicode: A research coding benchmark curated by scientists.Advances in Neural Information Processing Systems, 37:30624–30650, 2024.

MoRSE: Task-Oriented Multi-Agent System with Mixture of Role-Subtask Experts Scicode: A research coding benchmark curated by scientists.Advances in Neural Information Processing Systems, 37:30624–30650, 2024

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-15T14:31:57.763932Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 056b924f-d413-48a0-a599-df1892238f31 · outbound

This paper cites Parameter-efficient sparsity crafting from dense to mixture-of-experts for instruction tuning on general tasks.

MoRSE: Task-Oriented Multi-Agent System with Mixture of Role-Subtask Experts Parameter-efficient sparsity crafting from dense to mixture-of-experts for instruction tuning on general tasks

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:31:58.697583Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 829bd145-1d8a-40d4-b01b-abf4bab9228f · outbound

This paper cites Gap: Graph-based agent planning with parallel tool use and reinforcement learning.arXiv preprint arXiv:2510.25320, 2025.

MoRSE: Task-Oriented Multi-Agent System with Mixture of Role-Subtask Experts Gap: Graph-based agent planning with parallel tool use and reinforcement learning.arXiv preprint arXiv:2510.25320, 2025

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-15T14:31:57.771004Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d47c5d64-9f58-4d13-8b85-22abe08d60a1 · outbound

This paper cites AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation.

MoRSE: Task-Oriented Multi-Agent System with Mixture of Role-Subtask Experts AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-15T14:31:57.775215Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 711dad92-b4bd-481e-b06c-7705b7d095a5 · outbound

This paper cites Phase-Aware Mixture of Experts for Agentic Reinforcement Learning.

MoRSE: Task-Oriented Multi-Agent System with Mixture of Role-Subtask Experts Phase-Aware Mixture of Experts for Agentic Reinforcement Learning

Reference 36

Resolution: verified exact; local_arxiv, observed 2026-08-15T14:31:58.045981Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation a70b4a73-f61f-42a2-a4e9-e0f8d8791a07 · outbound

This paper cites Understanding agent scaling in llm-based multi-agent systems via diversity.arXiv preprint arXiv:2602.03794, 2026.

MoRSE: Task-Oriented Multi-Agent System with Mixture of Role-Subtask Experts Understanding agent scaling in llm-based multi-agent systems via diversity.arXiv preprint arXiv:2602.03794, 2026

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-15T14:31:57.782875Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 026ee47b-c5f4-42a3-b357-d3f2e4a338c5 · outbound

This paper cites The expressive power of low-rank adaptation.

MoRSE: Task-Oriented Multi-Agent System with Mixture of Role-Subtask Experts The expressive power of low-rank adaptation

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:31:58.682031Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 941a0998-ccc4-488e-91c9-286b78931d36 · outbound

This paper cites Towards stable and effective reinforcement learning for mixture-of-experts.

MoRSE: Task-Oriented Multi-Agent System with Mixture of Role-Subtask Experts Towards stable and effective reinforcement learning for mixture-of-experts

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-15T14:31:57.789787Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 34380494-106e-4f3c-b52f-3652de754e7f · outbound

This paper cites Aflow: Automating agentic workflow generation.

MoRSE: Task-Oriented Multi-Agent System with Mixture of Role-Subtask Experts Aflow: Automating agentic workflow generation

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-15T14:31:57.793243Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6bcf305a-d9ba-446b-b621-78076a5deef2 · outbound

This paper cites MARTI: A framework for multi-agent LLM systems reinforced training and inference.

MoRSE: Task-Oriented Multi-Agent System with Mixture of Role-Subtask Experts MARTI: A framework for multi-agent LLM systems reinforced training and inference

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:31:58.659996Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 3d17a209-5ebd-4338-b6bb-3ef5178f0717 · outbound

This paper cites StackPlanner: A Centralized Hierarchical Multi-Agent System with Task-Experience Memory Management.

MoRSE: Task-Oriented Multi-Agent System with Mixture of Role-Subtask Experts StackPlanner: A Centralized Hierarchical Multi-Agent System with Task-Experience Memory Management

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-15T14:31:57.799985Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9e030cc6-3746-4c13-a6ec-ab24911516dc · outbound

This paper cites Stronger-mas: Multi-agent reinforcement learning for collaborative llms.arXiv preprint arXiv:2510.11062, 2025.

MoRSE: Task-Oriented Multi-Agent System with Mixture of Role-Subtask Experts Stronger-mas: Multi-agent reinforcement learning for collaborative llms.arXiv preprint arXiv:2510.11062, 2025

Reference 43

Resolution: malformed identifier; no resolver link, observed 2026-08-15T14:31:57.804064Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b3e2bca6-747a-490e-80f9-edd7c365c20b · outbound

This paper cites MoRSE w/o MoLE & HGRPO (MoRSEbase) untrained reference 90.00 0.765 0.370 0.00 0.000 0.000 B.

MoRSE: Task-Oriented Multi-Agent System with Mixture of Role-Subtask Experts MoRSE w/o MoLE & HGRPO (MoRSEbase) untrained reference 90.00 0.765 0.370 0.00 0.000 0.000 B

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:31:58.646703Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation b2bd0fa6-aa12-4ae8-817d-f00bf0c843b0 · outbound

This paper cites MoRSE w/o MoLE & HGRPO (MoRSEbase) untrained reference 72.50 0.676 0.242 0.00 0.000 0.000 B.

MoRSE: Task-Oriented Multi-Agent System with Mixture of Role-Subtask Experts MoRSE w/o MoLE & HGRPO (MoRSEbase) untrained reference 72.50 0.676 0.242 0.00 0.000 0.000 B

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:31:58.633925Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 89e7e86d-b5e8-45bd-938b-53ab729f729d · outbound

This paper cites MoRSE w/o MoLE & HGRPO (MoRSEbase) untrained reference 17.50 20.07 0.00 0.00 0.00 0.00 B.

MoRSE: Task-Oriented Multi-Agent System with Mixture of Role-Subtask Experts MoRSE w/o MoLE & HGRPO (MoRSEbase) untrained reference 17.50 20.07 0.00 0.00 0.00 0.00 B

Reference 47

Resolution: malformed identifier; raw_fallback, observed 2026-08-15T14:31:58.619768Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation b1abc6c4-4ede-4314-9424-0b5839a31998 · outbound

This paper cites MoRSE w/o MoLE & HGRPO (MoRSEbase) untrained reference 7.50 9.06 0.00 0.00 0.00 0.00 B.

MoRSE: Task-Oriented Multi-Agent System with Mixture of Role-Subtask Experts MoRSE w/o MoLE & HGRPO (MoRSEbase) untrained reference 7.50 9.06 0.00 0.00 0.00 0.00 B

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:31:58.604661Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 226fecd5-df8e-4469-8db3-59817f94bf04 · outbound

This paper cites Prototypical Networks for Few-shot Learning.

MoRSE: Task-Oriented Multi-Agent System with Mixture of Role-Subtask Experts Prototypical Networks for Few-shot Learning

Reference 2017

Resolution: unresolved; no resolver link, observed 2026-08-15T14:31:57.756655Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Coverage vector

Reference resolution

Outbound references

Pith citing papers