Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-06-30T23:29:12.545347Z
Paper Citation Record · LEDGER
AgentPSO: Evolving Agent Reasoning Skill via Multi-agent Particle Swarm Optimization
As of 11 August 2026, this Paper Citation Record lists 55 of 55 outbound references and 2 inbound Pith citation observations for arXiv:2605.08704.
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 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-02T12:39:39.326010Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-07-01T21:06:14.647149Z
Reference resolution
55 of 55 outbound references displayed
- verified exact11
- verified fuzzy39
- unresolved2
- parse uncertain0
- malformed identifier0
- metadata mismatch3
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 042934b5-4804-4593-b6ee-6cab7dc9cdc2 · outbound
This paper cites GPT-4 Technical Report.
AgentPSO: Evolving Agent Reasoning Skill via Multi-agent Particle Swarm Optimization GPT-4 Technical Report
Reference 1
- Resolution
- verified exact
- local_arxiv, observed 2026-06-30T23:35:07.647383Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation c47fc51a-5056-4dc1-b4f8-43aca382d9c2 · outbound
This paper cites GEPA: Reflective prompt evolution can outperform reinforcement learning.
AgentPSO: Evolving Agent Reasoning Skill via Multi-agent Particle Swarm Optimization GEPA: Reflective prompt evolution can outperform reinforcement learning
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-07T11:03:40.080570Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation b9090ef9-ebd3-41e6-bd71-eafa116f4c8d · outbound
This paper cites Self-evolving multi-agent simulations for realistic clinical interactions.
AgentPSO: Evolving Agent Reasoning Skill via Multi-agent Particle Swarm Optimization Self-evolving multi-agent simulations for realistic clinical interactions
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-07T11:03:40.102788Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation ca70c92c-88b7-47d5-a3e5-2312b5cfca3e · outbound
This paper cites A survey of self-evolving agents: On path to artificial super intelligence.
AgentPSO: Evolving Agent Reasoning Skill via Multi-agent Particle Swarm Optimization A survey of self-evolving agents: On path to artificial super intelligence
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-07T11:03:40.062451Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation ab203e12-2c2e-4053-bfcf-3fe873a01198 · outbound
This paper cites Models overview.
AgentPSO: Evolving Agent Reasoning Skill via Multi-agent Particle Swarm Optimization Models overview
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-07T11:03:40.109892Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 89064af3-cf7c-4380-864e-399591265475 · outbound
This paper cites Ismail Hossain, Fuad Rahman, Moham- mad Ruhul Amin, Shafin Rahman, and Nabeel Mohammed.
AgentPSO: Evolving Agent Reasoning Skill via Multi-agent Particle Swarm Optimization Ismail Hossain, Fuad Rahman, Moham- mad Ruhul Amin, Shafin Rahman, and Nabeel Mohammed
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-07T11:03:40.074071Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation a779d07f-bfdb-480a-af77-0b33a013d15c · outbound
This paper cites Benchmarking large language models on answering and explaining challenging medical questions.
AgentPSO: Evolving Agent Reasoning Skill via Multi-agent Particle Swarm Optimization Benchmarking large language models on answering and explaining challenging medical questions
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-07T11:03:40.091694Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 4e553858-936e-41f8-9c9f-49b734101605 · outbound
This paper cites Free-MAD: Consensus-free multi-agent debate.
AgentPSO: Evolving Agent Reasoning Skill via Multi-agent Particle Swarm Optimization Free-MAD: Consensus-free multi-agent debate
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-07T11:03:40.115063Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation dc88de05-ec59-4b3b-81f1-6517e05fcbc4 · outbound
This paper cites Deepseek-r1: Incentivizing reasoning capability in llms via reinforcement learning.
AgentPSO: Evolving Agent Reasoning Skill via Multi-agent Particle Swarm Optimization Deepseek-r1: Incentivizing reasoning capability in llms via reinforcement learning
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-07T11:03:40.153810Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation ff23efad-8371-4247-9036-a4fee3b57208 · outbound
This paper cites Improving Factuality and Reasoning in Language Models through Multiagent Debate.
AgentPSO: Evolving Agent Reasoning Skill via Multi-agent Particle Swarm Optimization Improving Factuality and Reasoning in Language Models through Multiagent Debate
Reference 10
- Resolution
- verified exact
- local_arxiv, observed 2026-06-30T23:35:07.632034Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 39e4c637-0e3b-43f4-9a08-586d548a95dd · outbound
This paper cites M-MAD: Multidimensional multi-agent debate for advanced machine transla- tion evaluation.
AgentPSO: Evolving Agent Reasoning Skill via Multi-agent Particle Swarm Optimization M-MAD: Multidimensional multi-agent debate for advanced machine transla- tion evaluation
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-07T11:03:40.155790Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 2a5ef226-18fc-40ab-be5c-0d280a20e3ae · outbound
This paper cites Promptbreeder: Self-referential self-improvement via prompt evolution.
AgentPSO: Evolving Agent Reasoning Skill via Multi-agent Particle Swarm Optimization Promptbreeder: Self-referential self-improvement via prompt evolution
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-07T11:03:40.083981Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation e20c9eb6-0d7d-42ab-964a-35758d1184dc · outbound
This paper cites Lopes, and Fernando Morgado-Dias.
AgentPSO: Evolving Agent Reasoning Skill via Multi-agent Particle Swarm Optimization Lopes, and Fernando Morgado-Dias
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-07T11:03:40.086089Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation bac9a7b4-48bb-46af-9ca2-50dc396b94c0 · outbound
This paper cites CATArena: Evaluation of LLM agents through iterative tournament competitions.
AgentPSO: Evolving Agent Reasoning Skill via Multi-agent Particle Swarm Optimization CATArena: Evaluation of LLM agents through iterative tournament competitions
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-07T11:03:40.075038Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 4e137d40-8836-40d1-8de4-f54c5a70694f · outbound
This paper cites an unresolved cited work.
AgentPSO: Evolving Agent Reasoning Skill via Multi-agent Particle Swarm Optimization Unresolved cited work
Reference 15
- Resolution
- unresolved
- raw_fallback, observed 2026-07-07T11:03:40.076065Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation ed8d51c3-d9f5-4f25-8863-5237347824ce · outbound
This paper cites Deepmath-103k: A large-scale, challenging, decontaminated, and verifiable mathematical dataset for advancing reasoning.
AgentPSO: Evolving Agent Reasoning Skill via Multi-agent Particle Swarm Optimization Deepmath-103k: A large-scale, challenging, decontaminated, and verifiable mathematical dataset for advancing reasoning
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-07T11:03:40.064972Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation f9dbcd7d-0cf7-4f05-84af-95e8eca4674c · outbound
This paper cites Automated Design of Agentic Systems.
AgentPSO: Evolving Agent Reasoning Skill via Multi-agent Particle Swarm Optimization Automated Design of Agentic Systems
Reference 17
- Resolution
- verified exact
- local_arxiv, observed 2026-06-30T23:35:07.634884Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 90f3828f-c471-4433-80d7-a94a2fef300a · outbound
This paper cites Large Language Models Cannot Self-Correct Reasoning Yet.
AgentPSO: Evolving Agent Reasoning Skill via Multi-agent Particle Swarm Optimization Large Language Models Cannot Self-Correct Reasoning Yet
Reference 18
- Resolution
- verified exact
- local_arxiv, observed 2026-06-30T23:35:07.616505Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 7a2ab693-310f-4b62-9406-63c570830928 · outbound
This paper cites V oting or consensus? decision-making in multi-agent debate.
AgentPSO: Evolving Agent Reasoning Skill via Multi-agent Particle Swarm Optimization V oting or consensus? decision-making in multi-agent debate
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-07T11:03:40.100022Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 18bfb3e5-a990-4870-ae5b-6f9015a78328 · outbound
This paper cites Kennedy and R.
AgentPSO: Evolving Agent Reasoning Skill via Multi-agent Particle Swarm Optimization Kennedy and R
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-07T11:03:40.149164Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation ca8d1a1d-8f68-4b3d-817e-5c29135f36a4 · outbound
This paper cites Joshi, Hanna Moazam, Heather Miller, Matei Zaharia, and Christopher Potts.
AgentPSO: Evolving Agent Reasoning Skill via Multi-agent Particle Swarm Optimization Joshi, Hanna Moazam, Heather Miller, Matei Zaharia, and Christopher Potts
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-07T11:03:40.139255Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation e921e760-84f2-4463-8537-aa0dfb5d5c00 · outbound
This paper cites Decomposed prompting: A modular approach for solving complex tasks.
AgentPSO: Evolving Agent Reasoning Skill via Multi-agent Particle Swarm Optimization Decomposed prompting: A modular approach for solving complex tasks
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-07T11:03:40.133937Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 8e23d96d-6be9-41bb-8939-8f2f5f12a68c · outbound
This paper cites Solving quan- titative reasoning problems with language models.Advances in neural information processing systems, 35:3843–3857.
AgentPSO: Evolving Agent Reasoning Skill via Multi-agent Particle Swarm Optimization Solving quan- titative reasoning problems with language models.Advances in neural information processing systems, 35:3843–3857
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-07T11:03:40.136748Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 3e0985b5-fc5e-4787-b861-71df880c2d8c · outbound
This paper cites Let's Verify Step by Step.
AgentPSO: Evolving Agent Reasoning Skill via Multi-agent Particle Swarm Optimization Let's Verify Step by Step
Reference 24
- Resolution
- verified exact
- local_arxiv, observed 2026-06-30T23:35:07.619613Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation ecfa8ac5-d6b5-4718-bebb-58d651aa7ecc · outbound
This paper cites Enhancing multi-agent debate system performance via confidence expression.
AgentPSO: Evolving Agent Reasoning Skill via Multi-agent Particle Swarm Optimization Enhancing multi-agent debate system performance via confidence expression
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-07T11:03:40.141464Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation c380f380-f0f6-4d04-a939-bab49995e19b · outbound
This paper cites MeMAD: Structured memory of debates for enhanced multi-agent reasoning.
AgentPSO: Evolving Agent Reasoning Skill via Multi-agent Particle Swarm Optimization MeMAD: Structured memory of debates for enhanced multi-agent reasoning
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-07T11:03:40.126347Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 1b95a4d4-8b58-405f-a7ba-fdb45d42f42b · outbound
This paper cites Groupdebate: Enhancing the efficiency of multi-agent debate using group discussion.arXiv preprint arXiv:2409.14051.
AgentPSO: Evolving Agent Reasoning Skill via Multi-agent Particle Swarm Optimization Groupdebate: Enhancing the efficiency of multi-agent debate using group discussion.arXiv preprint arXiv:2409.14051
Reference 27
- Resolution
- verified exact
- arxiv_id, observed 2026-06-30T23:35:07.610194Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 6a1125b5-b8f7-4f73-a33b-f9f32622948f · outbound
This paper cites Breaking mental set to improve reasoning through diverse multi-agent debate.
AgentPSO: Evolving Agent Reasoning Skill via Multi-agent Particle Swarm Optimization Breaking mental set to improve reasoning through diverse multi-agent debate
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-07T11:03:40.117509Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 43fc1cde-23e4-4505-97ce-d27a72b7ab00 · outbound
This paper cites Lessons learned: A multi-agent framework for code LLMs to learn and improve.
AgentPSO: Evolving Agent Reasoning Skill via Multi-agent Particle Swarm Optimization Lessons learned: A multi-agent framework for code LLMs to learn and improve
Reference 29
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-07T11:03:40.095233Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation ddd7338b-68a9-49d9-9601-141efbd3936a · outbound
This paper cites Self-refine: Iterative refinement with self-feedback.
AgentPSO: Evolving Agent Reasoning Skill via Multi-agent Particle Swarm Optimization Self-refine: Iterative refinement with self-feedback
Reference 30
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-07T11:03:40.079513Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation c2f581b1-5877-408c-b59d-79ee5f0e8be4 · outbound
This paper cites Introducing gpt-5.5.
AgentPSO: Evolving Agent Reasoning Skill via Multi-agent Particle Swarm Optimization Introducing gpt-5.5
Reference 31
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-07T11:03:40.121968Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 8a92eea6-b169-40b3-b652-dacd437b9bfa · outbound
This paper cites Grips: Gradient-free, edit-based instruction search for prompting large language models.
AgentPSO: Evolving Agent Reasoning Skill via Multi-agent Particle Swarm Optimization Grips: Gradient-free, edit-based instruction search for prompting large language models
Reference 32
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-07T11:03:40.124244Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 2cf96371-281d-43f4-a184-a6bda4fec7f2 · outbound
This paper cites Reflexion: Language agents with verbal reinforcement learning.Advances in neural information processing systems, 36:8634–8652.
AgentPSO: Evolving Agent Reasoning Skill via Multi-agent Particle Swarm Optimization Reflexion: Language agents with verbal reinforcement learning.Advances in neural information processing systems, 36:8634–8652
Reference 33
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-07T11:03:40.128698Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 3195a048-e0b7-4425-9a49-0ec3835f6541 · outbound
This paper cites Large language models as particle swarm optimizers.
AgentPSO: Evolving Agent Reasoning Skill via Multi-agent Particle Swarm Optimization Large language models as particle swarm optimizers
Reference 34
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-07T11:03:40.143864Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 15c10bc6-985e-4406-8e39-c8daf8307feb · outbound
This paper cites Debflow: Automating agent creation via agent debate.
AgentPSO: Evolving Agent Reasoning Skill via Multi-agent Particle Swarm Optimization Debflow: Automating agent creation via agent debate
Reference 35
- Resolution
- verified exact
- arxiv_id, observed 2026-06-30T23:35:07.624801Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation b44cabb1-9a6e-45b9-aeaa-dbd7907bcf61 · outbound
This paper cites Doubleday, New York.
AgentPSO: Evolving Agent Reasoning Skill via Multi-agent Particle Swarm Optimization Doubleday, New York
Reference 36
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-07T11:03:40.151405Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation db509db5-161e-4880-8c9f-638cbabd293d · outbound
This paper cites Challenging BIG-Bench Tasks and Whether Chain-of-Thought Can Solve Them.
AgentPSO: Evolving Agent Reasoning Skill via Multi-agent Particle Swarm Optimization Challenging BIG-Bench Tasks and Whether Chain-of-Thought Can Solve Them
Reference 37
- Resolution
- verified exact
- local_arxiv, observed 2026-06-30T23:35:07.626006Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 64e42ace-3935-415f-96a6-4407d720612a · outbound
This paper cites Mixture-of-agents enhances large language model capabilities.
AgentPSO: Evolving Agent Reasoning Skill via Multi-agent Particle Swarm Optimization Mixture-of-agents enhances large language model capabilities
Reference 38
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-07T11:03:40.114861Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation b90cc87d-39ee-4319-85e3-612b035fbfd3 · outbound
This paper cites Chi, Sharan Narang, Aakanksha Chowdhery, and Denny Zhou.
AgentPSO: Evolving Agent Reasoning Skill via Multi-agent Particle Swarm Optimization Chi, Sharan Narang, Aakanksha Chowdhery, and Denny Zhou
Reference 39
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-07T11:03:40.119755Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation ae079ba0-b99b-47e6-b183-835435256895 · outbound
This paper cites Agent workflow memory.
AgentPSO: Evolving Agent Reasoning Skill via Multi-agent Particle Swarm Optimization Agent workflow memory
Reference 40
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-07T11:03:40.107489Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 5af7d84f-62b1-4d8a-b72a-8f339435351e · outbound
This paper cites Chain-of-thought prompting elicits reasoning in large language models.
AgentPSO: Evolving Agent Reasoning Skill via Multi-agent Particle Swarm Optimization Chain-of-thought prompting elicits reasoning in large language models
Reference 41
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-07T11:03:40.097532Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation aaccb7a4-5374-4895-88b7-e2c25f86751a · outbound
This paper cites Evo-Memory: Benchmarking LLM Agent Test-time Learning with Self-Evolving Memory.
AgentPSO: Evolving Agent Reasoning Skill via Multi-agent Particle Swarm Optimization Evo-Memory: Benchmarking LLM Agent Test-time Learning with Self-Evolving Memory
Reference 42
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-06-30T23:35:07.629183Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 1d2bd7ec-eab1-4824-8e1f-9afd0fe0b9e2 · outbound
This paper cites Do as We Do, Not as You Think: the Conformity of Large Language Models.
AgentPSO: Evolving Agent Reasoning Skill via Multi-agent Particle Swarm Optimization Do as We Do, Not as You Think: the Conformity of Large Language Models
Reference 43
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-06-30T23:35:07.638820Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 3350a6f3-9071-4472-a9bf-7027ad51be6a · outbound
This paper cites Comas: Co-evolving multi-agent systems via interaction rewards.
AgentPSO: Evolving Agent Reasoning Skill via Multi-agent Particle Swarm Optimization Comas: Co-evolving multi-agent systems via interaction rewards
Reference 44
- Resolution
- verified exact
- arxiv_id, observed 2026-06-30T23:35:07.641881Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation b2ad27b1-ab36-454f-83b4-7d5693e1f589 · outbound
This paper cites Large language models as optimizers.
AgentPSO: Evolving Agent Reasoning Skill via Multi-agent Particle Swarm Optimization Large language models as optimizers
Reference 45
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-07T11:03:40.146216Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 9cee847e-be9a-43b4-a21e-f4d947362a1e · outbound
This paper cites Tree of thoughts: Deliberate problem solving with large language models.Ad- vances in neural information processing systems, 36:11809–11822.
AgentPSO: Evolving Agent Reasoning Skill via Multi-agent Particle Swarm Optimization Tree of thoughts: Deliberate problem solving with large language models.Ad- vances in neural information processing systems, 36:11809–11822
Reference 46
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-07T11:03:40.109745Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 24058dfe-7e2b-4cdd-a898-1b8799247735 · outbound
This paper cites Darwin gödel machine: Open-ended evolution of self-improving agents.
AgentPSO: Evolving Agent Reasoning Skill via Multi-agent Particle Swarm Optimization Darwin gödel machine: Open-ended evolution of self-improving agents
Reference 47
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-07T11:03:40.085103Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 0e9ba6f5-ea1b-41f2-9fa3-cfa7d6cc7aaa · outbound
This paper cites Enhancing comprehensive learning particle swarm optimization with local optima topology.Information Sciences, 471:1–18.
AgentPSO: Evolving Agent Reasoning Skill via Multi-agent Particle Swarm Optimization Enhancing comprehensive learning particle swarm optimization with local optima topology.Information Sciences, 471:1–18
Reference 48
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-07T11:03:40.131201Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 8975e37e-00e9-4a75-88cc-f0c2f31c12c3 · outbound
This paper cites American invitational mathematics examination (aime) 2025.
AgentPSO: Evolving Agent Reasoning Skill via Multi-agent Particle Swarm Optimization American invitational mathematics examination (aime) 2025
Reference 49
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-07T11:03:40.088204Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation b558ae9f-b4bd-478c-b892-ce01e1f2da3c · outbound
This paper cites Chi, Quoc V Le, and Denny Zhou.
AgentPSO: Evolving Agent Reasoning Skill via Multi-agent Particle Swarm Optimization Chi, Quoc V Le, and Denny Zhou
Reference 50
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-07T11:03:40.081641Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation e9c51891-3a5d-4456-9a11-23a1e54ec530 · outbound
This paper cites an unresolved cited work.
AgentPSO: Evolving Agent Reasoning Skill via Multi-agent Particle Swarm Optimization Unresolved cited work
Reference 51
- Resolution
- unresolved
- raw_fallback, observed 2026-07-07T11:03:40.092709Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 5d6f26d5-2f33-490f-bac9-faf02b7af719 · outbound
This paper cites Memento-skills: Let agents design agents.
AgentPSO: Evolving Agent Reasoning Skill via Multi-agent Particle Swarm Optimization Memento-skills: Let agents design agents
Reference 52
- Resolution
- verified exact
- arxiv_id, observed 2026-06-30T23:35:07.644741Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 58656811-cbce-4e3b-9bd1-df5582c8b2f9 · outbound
This paper cites Self-Discover: Large Language Models Self-Compose Reasoning Structures.
AgentPSO: Evolving Agent Reasoning Skill via Multi-agent Particle Swarm Optimization Self-Discover: Large Language Models Self-Compose Reasoning Structures
Reference 53
- Resolution
- verified exact
- arxiv_id, observed 2026-06-30T23:35:07.605823Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 0beea221-f89b-4a37-8c0a-897a1a1df274 · outbound
This paper cites Large language models are human-level prompt engineers.
AgentPSO: Evolving Agent Reasoning Skill via Multi-agent Particle Swarm Optimization Large language models are human-level prompt engineers
Reference 54
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-07T11:03:40.070116Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 32adff1c-b1b1-4a8b-80d5-bc214f8c2403 · outbound
This paper cites MedXpertQA: Benchmarking Expert-Level Medical Reasoning and Understanding.
AgentPSO: Evolving Agent Reasoning Skill via Multi-agent Particle Swarm Optimization MedXpertQA: Benchmarking Expert-Level Medical Reasoning and Understanding
Reference 55
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-06-30T23:35:07.613373Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Pith citing papers
Observation f010b1b6-4de4-4f64-a7ef-3eb8e5be8da0 · inbound
"Skill Issues'': Data-Centric Optimization of Lakehouse Agents cites this paper.
"Skill Issues'': Data-Centric Optimization of Lakehouse Agents AgentPSO: Evolving Agent Reasoning Skill via Multi-agent Particle Swarm Optimization
Reference 18
- Resolution
- verified exact
- local_arxiv, observed 2026-07-01T21:06:14.648348Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 204b93ea-4075-4bde-a5ac-a0ed60c0608c · inbound
"Skill Issues'': Data-Centric Optimization of Lakehouse Agents cites this paper.
"Skill Issues'': Data-Centric Optimization of Lakehouse Agents AgentPSO: Evolving Agent Reasoning Skill via Multi-agent Particle Swarm Optimization
Reference 16
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T12:39:39.326010Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.