Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-05-12T05:13:28.089038Z
Paper Citation Record · LEDGER
MAGE: Multi-Agent Self-Evolution with Co-Evolutionary Knowledge Graphs
As of 4 August 2026, this Paper Citation Record lists 35 of 35 outbound references and 1 inbound Pith citation observation for arXiv:2605.10064.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-01T18:17:13.394765Z
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
35 of 35 outbound references displayed
- verified exact21
- verified fuzzy11
- unresolved1
- parse uncertain0
- malformed identifier0
- metadata mismatch2
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation fd987cb5-139f-4650-a96d-14e12412d687 · outbound
This paper cites an unresolved cited work.
MAGE: Multi-Agent Self-Evolution with Co-Evolutionary Knowledge Graphs Unresolved cited work
Reference 1
- Resolution
- unresolved
- raw_fallback, observed 2026-05-12T11:56:33.196119Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation b55df8ef-725c-48b6-8cf9-4219a58ca62d · outbound
This paper cites Experiential reflective learning for self-improving llm agents.
MAGE: Multi-Agent Self-Evolution with Co-Evolutionary Knowledge Graphs Experiential reflective learning for self-improving llm agents
Reference 2
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T05:26:25.510581Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation b27bc166-4e9a-4a39-800b-02defb436b27 · outbound
This paper cites Semantic parsing on freebase from question-answer pairs.
MAGE: Multi-Agent Self-Evolution with Co-Evolutionary Knowledge Graphs Semantic parsing on freebase from question-answer pairs
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T11:56:33.199582Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 4253cc7d-6fb5-4361-8b22-8f0fb3abc8b5 · outbound
This paper cites Mars: Optimizing dual-system deep research via multi-agent reinforcement learning.
MAGE: Multi-Agent Self-Evolution with Co-Evolutionary Knowledge Graphs Mars: Optimizing dual-system deep research via multi-agent reinforcement learning
Reference 4
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T05:26:25.533381Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 22aaeff4-628e-4abb-a6e5-f8ff9a49ae3f · outbound
This paper cites arXiv preprint arXiv:2510.23595 , year=.
MAGE: Multi-Agent Self-Evolution with Co-Evolutionary Knowledge Graphs arXiv preprint arXiv:2510.23595 , year=
Reference 5
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T05:26:25.527630Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 6f4bf1ad-c828-4ab0-a7ff-b348acfb24fb · outbound
This paper cites Finqa: A dataset of numerical reasoning over financial data.
MAGE: Multi-Agent Self-Evolution with Co-Evolutionary Knowledge Graphs Finqa: A dataset of numerical reasoning over financial data
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T11:56:33.202662Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 330b96e2-a557-4a63-a2e7-a00faf313a6e · outbound
This paper cites Training Verifiers to Solve Math Word Problems.
MAGE: Multi-Agent Self-Evolution with Co-Evolutionary Knowledge Graphs Training Verifiers to Solve Math Word Problems
Reference 7
- Resolution
- verified exact
- local_arxiv, observed 2026-05-12T05:26:25.541727Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 866cb111-3dbf-4489-8095-5f432cf33a47 · outbound
This paper cites From Local to Global: A Graph RAG Approach to Query-Focused Summarization.
MAGE: Multi-Agent Self-Evolution with Co-Evolutionary Knowledge Graphs From Local to Global: A Graph RAG Approach to Query-Focused Summarization
Reference 8
- Resolution
- verified exact
- local_arxiv, observed 2026-05-12T05:26:25.550162Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 9ae4083e-ac65-43ac-ae04-abd6a9a62ad0 · outbound
This paper cites Benchmarking the Spectrum of Agent Capabilities.
MAGE: Multi-Agent Self-Evolution with Co-Evolutionary Knowledge Graphs Benchmarking the Spectrum of Agent Capabilities
Reference 9
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T05:26:25.687344Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 87a88ebc-f021-41d1-95d6-af1a1ea8433b · outbound
This paper cites What disease does this patient have? a large-scale open domain question answering dataset from medical exams.Applied Sciences, 11(14):6421.
MAGE: Multi-Agent Self-Evolution with Co-Evolutionary Knowledge Graphs What disease does this patient have? a large-scale open domain question answering dataset from medical exams.Applied Sciences, 11(14):6421
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T11:56:33.173425Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 7c943303-df68-47cd-8e62-12dad3b9e496 · outbound
This paper cites Agentic-kgr: Co-evolutionary knowledge graph construction through multi-agent reinforcement learning.
MAGE: Multi-Agent Self-Evolution with Co-Evolutionary Knowledge Graphs Agentic-kgr: Co-evolutionary knowledge graph construction through multi-agent reinforcement learning
Reference 11
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T05:26:25.657820Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 77fe3514-68cf-4a34-958f-06106f2e3872 · outbound
This paper cites Stbench: Assessing the ability of large language models in spatio-temporal analysis.
MAGE: Multi-Agent Self-Evolution with Co-Evolutionary Knowledge Graphs Stbench: Assessing the ability of large language models in spatio-temporal analysis
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T11:56:33.169995Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 408dcfa1-0964-43e2-9a27-9b1216bfd7b3 · outbound
This paper cites Richard Yu.
MAGE: Multi-Agent Self-Evolution with Co-Evolutionary Knowledge Graphs Richard Yu
Reference 13
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-12T05:26:25.609037Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 1e27dfdf-02ea-4178-9a63-ee0d8976a3d4 · outbound
This paper cites Fino1: On the transferability of reasoning enhanced llms to finance.arXiv e-prints, pages arXiv–2502.
MAGE: Multi-Agent Self-Evolution with Co-Evolutionary Knowledge Graphs Fino1: On the transferability of reasoning enhanced llms to finance.arXiv e-prints, pages arXiv–2502
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T11:56:33.176424Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation fb160a44-6172-4e8b-8fd1-9dbacce5951f · outbound
This paper cites Reflexion: Language agents with verbal reinforcement learning.Advances in neural information processing systems, 36:8634–8652.
MAGE: Multi-Agent Self-Evolution with Co-Evolutionary Knowledge Graphs Reflexion: Language agents with verbal reinforcement learning.Advances in neural information processing systems, 36:8634–8652
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T11:56:33.179637Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation dd4aee02-a380-4c4d-968a-e5fccc6be06f · outbound
This paper cites SEAgent: Self-Evolving Computer Use Agent with Autonomous Learning from Experience.
MAGE: Multi-Agent Self-Evolution with Co-Evolutionary Knowledge Graphs SEAgent: Self-Evolving Computer Use Agent with Autonomous Learning from Experience
Reference 16
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T05:26:25.697688Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation d0c0eef8-9a0b-42a0-8066-3bed8fd10664 · outbound
This paper cites Voyager: An Open-Ended Embodied Agent with Large Language Models.
MAGE: Multi-Agent Self-Evolution with Co-Evolutionary Knowledge Graphs Voyager: An Open-Ended Embodied Agent with Large Language Models
Reference 17
- Resolution
- verified exact
- local_arxiv, observed 2026-05-12T05:26:25.662511Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 93b0a6af-ec79-456e-9499-a0236dc012ac · outbound
This paper cites Self-Consistency Improves Chain of Thought Reasoning in Language Models.
MAGE: Multi-Agent Self-Evolution with Co-Evolutionary Knowledge Graphs Self-Consistency Improves Chain of Thought Reasoning in Language Models
Reference 18
- Resolution
- verified exact
- local_arxiv, observed 2026-05-12T05:26:25.668163Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation c20f7f7b-8d3d-4f3d-ac8c-c47facd157b1 · outbound
This paper cites RAGEN: Understanding Self-Evolution in LLM Agents via Multi-Turn Reinforcement Learning.
MAGE: Multi-Agent Self-Evolution with Co-Evolutionary Knowledge Graphs RAGEN: Understanding Self-Evolution in LLM Agents via Multi-Turn Reinforcement Learning
Reference 19
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T07:13:34.687091Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation ad4452eb-2f58-4c98-97ac-ad8c2ad2c128 · outbound
This paper cites Evo-Memory: Benchmarking LLM Agent Test-time Learning with Self-Evolving Memory.
MAGE: Multi-Agent Self-Evolution with Co-Evolutionary Knowledge Graphs Evo-Memory: Benchmarking LLM Agent Test-time Learning with Self-Evolving Memory
Reference 20
- Resolution
- verified exact
- arxiv_id, observed 2026-05-14T23:13:16.650386Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 73852bcf-4f99-48fe-a30c-678b7e55fc25 · outbound
This paper cites EvolveR: Self-Evolving LLM Agents through an Experience-Driven Lifecycle.
MAGE: Multi-Agent Self-Evolution with Co-Evolutionary Knowledge Graphs EvolveR: Self-Evolving LLM Agents through an Experience-Driven Lifecycle
Reference 21
- Resolution
- verified exact
- local_arxiv, observed 2026-05-12T05:26:25.618233Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation f7070f87-8062-4bc2-b0b5-c02b486585af · outbound
This paper cites Agent0: Unleashing self-evolving agents from zero data via tool-integrated reasoning.
MAGE: Multi-Agent Self-Evolution with Co-Evolutionary Knowledge Graphs Agent0: Unleashing self-evolving agents from zero data via tool-integrated reasoning
Reference 22
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T05:21:37.827533Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 41c4b6b9-6b7a-4a6e-9c51-3fafe931794e · outbound
This paper cites A-MEM: Agentic Memory for LLM Agents.
MAGE: Multi-Agent Self-Evolution with Co-Evolutionary Knowledge Graphs A-MEM: Agentic Memory for LLM Agents
Reference 23
- Resolution
- verified exact
- local_arxiv, observed 2026-05-12T05:26:25.599363Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 9dab7ff5-8591-4d3b-9e07-142706649270 · outbound
This paper cites Divide by question, conquer by agent: Split-rag with question-driven graph partitioning.
MAGE: Multi-Agent Self-Evolution with Co-Evolutionary Knowledge Graphs Divide by question, conquer by agent: Split-rag with question-driven graph partitioning
Reference 24
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T05:26:25.580441Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 482416f5-f2c2-4c09-8e7a-b2980db3582c · outbound
This paper cites Toward self-evolving systems of llm agents through exploration and iterative feedback.
MAGE: Multi-Agent Self-Evolution with Co-Evolutionary Knowledge Graphs Toward self-evolving systems of llm agents through exploration and iterative feedback
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T11:56:33.167081Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 8417c9e8-0eb9-4035-b88c-eab8924f315a · outbound
This paper cites Hotpotqa: A dataset for diverse, explainable multi-hop question answering.
MAGE: Multi-Agent Self-Evolution with Co-Evolutionary Knowledge Graphs Hotpotqa: A dataset for diverse, explainable multi-hop question answering
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T11:56:33.182972Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 3d6987ad-5f79-4fc0-b313-4071a9422588 · outbound
This paper cites Webshop: Towards scalable real-world web interaction with grounded language agents.Advances in Neural Information Processing Systems, 35:20744–20757.
MAGE: Multi-Agent Self-Evolution with Co-Evolutionary Knowledge Graphs Webshop: Towards scalable real-world web interaction with grounded language agents.Advances in Neural Information Processing Systems, 35:20744–20757
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T11:56:33.186077Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 691002d6-bf7d-45c2-80cd-f7dba5cdd358 · outbound
This paper cites React: Synergizing reasoning and acting in language models.
MAGE: Multi-Agent Self-Evolution with Co-Evolutionary Knowledge Graphs React: Synergizing reasoning and acting in language models
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T11:56:33.189344Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 7dcee2ac-7b97-4919-aca4-4a110ef5947c · outbound
This paper cites Infiagent: Self-evolving pyramid agent framework for infinite scenarios.
MAGE: Multi-Agent Self-Evolution with Co-Evolutionary Knowledge Graphs Infiagent: Self-evolving pyramid agent framework for infinite scenarios
Reference 29
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T05:26:25.591513Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation c067a8ac-4077-4e7f-9d9e-7b66ef1e4368 · outbound
This paper cites Agentevolver: Towards efficient self-evolving agent system.
MAGE: Multi-Agent Self-Evolution with Co-Evolutionary Knowledge Graphs Agentevolver: Towards efficient self-evolving agent system
Reference 30
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T05:26:25.625960Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 170466ea-18ba-4a1f-8dd9-91d68a41370d · outbound
This paper cites Sovereign AI Foundation Model.
MAGE: Multi-Agent Self-Evolution with Co-Evolutionary Knowledge Graphs Sovereign AI Foundation Model
Reference 31
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-12T05:21:37.677440Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation ac66e1a6-eb73-4085-bb30-6a417c502072 · outbound
This paper cites MemRL: Self-Evolving Agents via Runtime Reinforcement Learning on Episodic Memory.
MAGE: Multi-Agent Self-Evolution with Co-Evolutionary Knowledge Graphs MemRL: Self-Evolving Agents via Runtime Reinforcement Learning on Episodic Memory
Reference 32
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T14:49:05.169764Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 46590b05-b88c-492c-b535-a940403d3ffa · outbound
This paper cites Absolute Zero: Reinforced Self-play Reasoning with Zero Data.
MAGE: Multi-Agent Self-Evolution with Co-Evolutionary Knowledge Graphs Absolute Zero: Reinforced Self-play Reasoning with Zero Data
Reference 33
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T18:23:09.397455Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation f67d61b7-7fc2-4fba-99c3-619842cb481b · outbound
This paper cites SiriuS: Self-improving Multi-agent Systems via Bootstrapped Reasoning.
MAGE: Multi-Agent Self-Evolution with Co-Evolutionary Knowledge Graphs SiriuS: Self-improving Multi-agent Systems via Bootstrapped Reasoning
Reference 34
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T05:26:25.561108Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation fce69cb3-05af-4ee0-97a2-cddbbeeee96a · outbound
This paper cites not recently selected.
MAGE: Multi-Agent Self-Evolution with Co-Evolutionary Knowledge Graphs not recently selected
Reference 35
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T11:56:33.192614Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Pith citing papers
Observation e70ad0bc-0a10-41e1-a291-027d67ffaeaf · inbound
Self-Modifying Lean Proof Agents with Verifier-Grounded Benchmark Coevolution cites this paper.
Self-Modifying Lean Proof Agents with Verifier-Grounded Benchmark Coevolution MAGE: Multi-Agent Self-Evolution with Co-Evolutionary Knowledge Graphs
Reference 31
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T18:17:13.394765Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.