Paper Citation Record · LEDGER

MAGE: Multi-Agent Self-Evolution with Co-Evolutionary Knowledge Graphs

As of 2 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.

pith.paper-citation-record.v1
2605.10064 v1

Coverage vector

measured 35 of 35 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-12T05:13:28.089038Z

measured 36 of 36 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-02T06:30:47.504484+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-01T18:17:13.394765Z

measured 0 of 1 external citation measurements

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 2026-08-02T06:30:47.504484+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 2026-08-02T06:30:47.504484+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 2026-08-02T06:30:47.504484+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 2026-08-02T06:30:47.504484+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 2026-08-02T06:30:47.504484+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 2026-08-02T06:30:47.504484+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 2026-08-02T06:30:47.504484+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 2026-08-02T06:30:47.504484+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 2026-08-02T06:30:47.504484+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 2026-08-02T06:30:47.504484+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 2026-08-02T06:30:47.504484+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 2026-08-02T06:30:47.504484+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 2026-08-02T06:30:47.504484+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 2026-08-02T06:30:47.504484+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 2026-08-02T06:30:47.504484+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 2026-08-02T06:30:47.504484+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 2026-08-02T06:30:47.504484+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 2026-08-02T06:30:47.504484+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 2026-08-02T06:30:47.504484+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 2026-08-02T06:30:47.504484+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 2026-08-02T06:30:47.504484+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 2026-08-02T06:30:47.504484+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 2026-08-02T06:30:47.504484+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 2026-08-02T06:30:47.504484+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 2026-08-02T06:30:47.504484+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 2026-08-02T06:30:47.504484+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 2026-08-02T06:30:47.504484+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 2026-08-02T06:30:47.504484+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 2026-08-02T06:30:47.504484+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 2026-08-02T06:30:47.504484+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 2026-08-02T06:30:47.504484+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 2026-08-02T06:30:47.504484+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 2026-08-02T06:30:47.504484+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 2026-08-02T06:30:47.504484+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 2026-08-02T06:30:47.504484+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.