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Paper Citation Record · LEDGER

QueenBee Planner: Skill-Evolving Communication Topologies for Token-Efficient LLM Multi-Agent Systems

As of 21 August 2026, this Paper Citation Record lists 51 of 51 outbound references and 1 inbound Pith citation observation for arXiv:2606.27492.

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

pith.paper-citation-record.v1
2606.27492 v1

Coverage vector

measured 51 of 51 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-29T00:52:04.018553Z

measured 52 of 52 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-09T03:36:57.168246Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-09T03:45:55.711045Z

Reference resolution

51 of 51 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved51
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 5d502e32-61b7-47c7-a59b-fa0c76599a01 · outbound

This paper cites Graph of thoughts: Solving elaborate problems with large language models.

QueenBee Planner: Skill-Evolving Communication Topologies for Token-Efficient LLM Multi-Agent Systems Graph of thoughts: Solving elaborate problems with large language models

Reference 1

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source=pdf_text observed=2026-06-29T00:52:04.018553Z digest=sha256:5245b6478df8df5037e007904a124da6681d7b4af7d157a58cf513e63fd6b6ed

Observation 79f0aad6-aa60-4549-8e0b-abc70b7dedad · outbound

This paper cites MapReduce: Simplified data processing on large clusters.Communi- cations of the ACM, 51(1):107–113, 2008.

QueenBee Planner: Skill-Evolving Communication Topologies for Token-Efficient LLM Multi-Agent Systems MapReduce: Simplified data processing on large clusters.Communi- cations of the ACM, 51(1):107–113, 2008

Reference 2

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source=pdf_text observed=2026-06-29T00:52:04.018553Z digest=sha256:7da4cd975af2cb3d5f3e010d3745d828e2139c88a181a02b90c206d9d100fe53

Observation f50599f8-c1ba-4f65-bf30-014185368f46 · outbound

This paper cites Tenenbaum, and Igor Mordatch.

QueenBee Planner: Skill-Evolving Communication Topologies for Token-Efficient LLM Multi-Agent Systems Tenenbaum, and Igor Mordatch

Reference 3

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source=pdf_text observed=2026-06-29T00:52:04.018553Z digest=sha256:3bc0c51b9f0e4e630961eae15bbf02bd212d219b60fa188dc9eb3450adcdb3e7

Observation ca15b592-6421-4c2f-8517-6baec1493d59 · outbound

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

QueenBee Planner: Skill-Evolving Communication Topologies for Token-Efficient LLM Multi-Agent Systems MetaGPT: Meta programming for a multi-agent collaborative framework

Reference 4

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source=pdf_text observed=2026-06-29T00:52:04.018553Z digest=sha256:f6f56272a102e86e2a279ae608ba273f458f81f7578599dfe18db604061d130b

Observation 91941989-5348-4328-ae51-f6a183fe6131 · outbound

This paper cites Automated design of agentic systems.

QueenBee Planner: Skill-Evolving Communication Topologies for Token-Efficient LLM Multi-Agent Systems Automated design of agentic systems

Reference 5

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source=pdf_text observed=2026-06-29T00:52:04.018553Z digest=sha256:ffbad8d85f8b996bfc745fe74b6f53bb7148dfa55eb9f371f5c1730a09d8ccd2

Observation fc32dacb-a2db-4aa5-8294-b20ad7b2dc28 · outbound

This paper cites Large language models cannot self-correct reasoning yet.

QueenBee Planner: Skill-Evolving Communication Topologies for Token-Efficient LLM Multi-Agent Systems Large language models cannot self-correct reasoning yet

Reference 6

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source=pdf_text observed=2026-06-29T00:52:04.018553Z digest=sha256:e2ed0d7729418526da21196adf4730dea7b498102a82aa717382ff1ee41ebb2b

Observation da8e1658-c939-4719-96fc-a3bd674f024b · outbound

This paper cites Tree search for language model agents, 2024.

QueenBee Planner: Skill-Evolving Communication Topologies for Token-Efficient LLM Multi-Agent Systems Tree search for language model agents, 2024

Reference 7

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source=pdf_text observed=2026-06-29T00:52:04.018553Z digest=sha256:80cbee4d160f38405f7ea48f89d5b0afc75f4a0b78f52a41c6adb4feaa3dffde

Observation 2a7afdd5-db2d-45b4-bd39-3fe3f1ea8dc1 · outbound

This paper cites CAMEL: Communicative agents for “mind” exploration of large language model society.

QueenBee Planner: Skill-Evolving Communication Topologies for Token-Efficient LLM Multi-Agent Systems CAMEL: Communicative agents for “mind” exploration of large language model society

Reference 8

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source=pdf_text observed=2026-06-29T00:52:04.018553Z digest=sha256:5be4432dc7b1da5229486914029c2e0bf42c85c91ecdc9abc8d0dbf93b4e5605

Observation bec2d4bf-f610-4f95-8969-a3c1dfadf016 · outbound

This paper cites Encouraging divergent thinking in large language models through multi-agent debate.

QueenBee Planner: Skill-Evolving Communication Topologies for Token-Efficient LLM Multi-Agent Systems Encouraging divergent thinking in large language models through multi-agent debate

Reference 9

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source=pdf_text observed=2026-06-29T00:52:04.018553Z digest=sha256:df07d179299e8624327538b48416623b0503c2b8ac586e453e5f75b6979bba79

Observation 66e04f71-ce68-4ab1-b2e2-c02a5522d0b6 · outbound

This paper cites A dynamic LLM-powered agent network for task-oriented agent collaboration, 2023.

QueenBee Planner: Skill-Evolving Communication Topologies for Token-Efficient LLM Multi-Agent Systems A dynamic LLM-powered agent network for task-oriented agent collaboration, 2023

Reference 10

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source=pdf_text observed=2026-06-29T00:52:04.018553Z digest=sha256:222c2c55adef8235ae05a7d351eac46e5dae93f7a2586b43d853bdd4b04683b2

Observation 57ac2d60-8fee-41de-8837-e34ad89498be · outbound

This paper cites Bowman, and Shi Feng.

QueenBee Planner: Skill-Evolving Communication Topologies for Token-Efficient LLM Multi-Agent Systems Bowman, and Shi Feng

Reference 11

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source=pdf_text observed=2026-06-29T00:52:04.018553Z digest=sha256:e89a1af72369521a434aecd75330f58bda6b33b66dbd4aaa73845ab3cec28898

Observation bcdbe5f0-0de6-4fe3-bb94-3db5ff8a7967 · outbound

This paper cites Scaling large-language-model-based multi-agent collaboration.

QueenBee Planner: Skill-Evolving Communication Topologies for Token-Efficient LLM Multi-Agent Systems Scaling large-language-model-based multi-agent collaboration

Reference 12

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source=pdf_text observed=2026-06-29T00:52:04.018553Z digest=sha256:3f84929a7c64d9d5f64912b2d53686d445c5591bf5c861959b44b579ec6866f9

Observation e02ccf3e-3a06-417e-b90f-37607109de28 · outbound

This paper cites Reflexion: Language agents with verbal reinforcement learning.

QueenBee Planner: Skill-Evolving Communication Topologies for Token-Efficient LLM Multi-Agent Systems Reflexion: Language agents with verbal reinforcement learning

Reference 13

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source=pdf_text observed=2026-06-29T00:52:04.018553Z digest=sha256:30480c8ff6008ccb62b620ed802c57be371b0f406da3dde0582878ad9baf9e69

Observation b98a78b7-94de-4ba0-83b2-f860e7a85fdc · outbound

This paper cites V oyager: An open-ended embodied agent with large language models.Transactions on Machine Learning Research, 2024.

QueenBee Planner: Skill-Evolving Communication Topologies for Token-Efficient LLM Multi-Agent Systems V oyager: An open-ended embodied agent with large language models.Transactions on Machine Learning Research, 2024

Reference 14

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source=pdf_text observed=2026-06-29T00:52:04.018553Z digest=sha256:2fb36b4c15bf467577a4446389903f46bad545761b0177e8d159f8b9d2179c07

Observation aed14cb5-75cb-43e6-8dda-405243546897 · outbound

This paper cites Le, Ed H.

QueenBee Planner: Skill-Evolving Communication Topologies for Token-Efficient LLM Multi-Agent Systems Le, Ed H

Reference 15

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source=pdf_text observed=2026-06-29T00:52:04.018553Z digest=sha256:fca7345b63bef0a5d8928db7a4bb68673173a81b4fdd4c6c569a39b01c1f40bc

Observation db0fb014-b153-4712-a075-b4074d7ed4f7 · outbound

This paper cites Agent workflow memory.

QueenBee Planner: Skill-Evolving Communication Topologies for Token-Efficient LLM Multi-Agent Systems Agent workflow memory

Reference 16

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source=pdf_text observed=2026-06-29T00:52:04.018553Z digest=sha256:1795736866f42376b445fdc15239fa0a0fbe164ecefeacfa1edb7bdd739ec2b0

Observation 176f65b9-88a9-4a96-9b9d-9d7c106cde26 · outbound

This paper cites Chi, Quoc V.

QueenBee Planner: Skill-Evolving Communication Topologies for Token-Efficient LLM Multi-Agent Systems Chi, Quoc V

Reference 17

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Observation 838b91af-3d13-4587-b8e2-75a0dec4fcd4 · outbound

This paper cites White, Doug Burger, and Chi Wang.

QueenBee Planner: Skill-Evolving Communication Topologies for Token-Efficient LLM Multi-Agent Systems White, Doug Burger, and Chi Wang

Reference 18

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Observation 14dfc74e-a477-4e37-a4d1-3b4ac183378e · outbound

This paper cites Griffiths, Yuan Cao, and Karthik Narasimhan.

QueenBee Planner: Skill-Evolving Communication Topologies for Token-Efficient LLM Multi-Agent Systems Griffiths, Yuan Cao, and Karthik Narasimhan

Reference 19

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Observation 06753e72-4c9c-443b-a5fc-b0fc00ce72e8 · outbound

This paper cites ReAct: Synergizing reasoning and acting in language models.

QueenBee Planner: Skill-Evolving Communication Topologies for Token-Efficient LLM Multi-Agent Systems ReAct: Synergizing reasoning and acting in language models

Reference 20

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Observation fd1835d3-25be-4e0f-a00b-1efb9a8b3761 · outbound

This paper cites Self-rewarding language models.

QueenBee Planner: Skill-Evolving Communication Topologies for Token-Efficient LLM Multi-Agent Systems Self-rewarding language models

Reference 21

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Observation 3f5e4dd8-7bee-493d-af45-1ce6affd6b1d · outbound

This paper cites G-Designer: Architecting multi-agent communication topologies via graph neural networks.

QueenBee Planner: Skill-Evolving Communication Topologies for Token-Efficient LLM Multi-Agent Systems G-Designer: Architecting multi-agent communication topologies via graph neural networks

Reference 22

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Observation 6de240f1-66fd-4008-b565-647b3b9aa4d5 · outbound

This paper cites AFlow: Automating agentic workflow generation.

QueenBee Planner: Skill-Evolving Communication Topologies for Token-Efficient LLM Multi-Agent Systems AFlow: Automating agentic workflow generation

Reference 23

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Observation 4bca5ac1-939f-45a8-b56c-90a2a2254865 · outbound

This paper cites Silo-Bench: A scalable environment for evaluating distributed coordination in multi-agent LLM systems, 2026.

QueenBee Planner: Skill-Evolving Communication Topologies for Token-Efficient LLM Multi-Agent Systems Silo-Bench: A scalable environment for evaluating distributed coordination in multi-agent LLM systems, 2026

Reference 24

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Observation 28ec14c9-e81c-42b9-a934-56fafaaca10d · outbound

This paper cites ExpeL: Llm agents are experiential learners.

QueenBee Planner: Skill-Evolving Communication Topologies for Token-Efficient LLM Multi-Agent Systems ExpeL: Llm agents are experiential learners

Reference 25

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Observation 475874e7-49bd-4290-8cee-93c55130f41f · outbound

This paper cites Xing, Hao Zhang, Joseph E.

QueenBee Planner: Skill-Evolving Communication Topologies for Token-Efficient LLM Multi-Agent Systems Xing, Hao Zhang, Joseph E

Reference 26

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Observation 7fe2fb91-cd60-44e1-b427-254b76b4bffa · outbound

This paper cites an unresolved cited work.

QueenBee Planner: Skill-Evolving Communication Topologies for Token-Efficient LLM Multi-Agent Systems Unresolved cited work

Reference 27

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Observation 92dda145-f809-4136-9a2f-8bbe588456b1 · outbound

This paper cites GPTSwarm: Language agents as optimizable graphs.

QueenBee Planner: Skill-Evolving Communication Topologies for Token-Efficient LLM Multi-Agent Systems GPTSwarm: Language agents as optimizable graphs

Reference 28

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Observation 6fdf0cd2-1afd-4087-920b-a9e016016dc8 · outbound

This paper cites an unresolved cited work.

QueenBee Planner: Skill-Evolving Communication Topologies for Token-Efficient LLM Multi-Agent Systems Unresolved cited work

Reference 29

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Observation 8ac1dc1d-a71d-45a8-b7da-ffb2b042d8b4 · outbound

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QueenBee Planner: Skill-Evolving Communication Topologies for Token-Efficient LLM Multi-Agent Systems Unresolved cited work

Reference 30

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Observation f4fd43e8-d5d4-471e-beb5-9ad9cdeda05e · outbound

This paper cites an unresolved cited work.

QueenBee Planner: Skill-Evolving Communication Topologies for Token-Efficient LLM Multi-Agent Systems Unresolved cited work

Reference 31

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Observation 93afa5b4-049e-44bd-963c-4cc456d8edcf · outbound

This paper cites an unresolved cited work.

QueenBee Planner: Skill-Evolving Communication Topologies for Token-Efficient LLM Multi-Agent Systems Unresolved cited work

Reference 32

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Observation e6a42740-91c9-4090-8b93-d045563ac972 · outbound

This paper cites an unresolved cited work.

QueenBee Planner: Skill-Evolving Communication Topologies for Token-Efficient LLM Multi-Agent Systems Unresolved cited work

Reference 33

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Observation 08aa659c-0663-4b24-8a5b-6b7a8067649f · outbound

This paper cites an unresolved cited work.

QueenBee Planner: Skill-Evolving Communication Topologies for Token-Efficient LLM Multi-Agent Systems Unresolved cited work

Reference 34

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Observation cb2b1ad1-3988-4ffa-a17b-35cd5a048f13 · outbound

This paper cites an unresolved cited work.

QueenBee Planner: Skill-Evolving Communication Topologies for Token-Efficient LLM Multi-Agent Systems Unresolved cited work

Reference 35

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Observation 5a7862ee-5a3b-4366-a656-b17f31a83c9f · outbound

This paper cites It preserves a high-coverage peer- propagation scaffold, while also recording that a simple chain is a negative design under the observed Silo condition.

QueenBee Planner: Skill-Evolving Communication Topologies for Token-Efficient LLM Multi-Agent Systems It preserves a high-coverage peer- propagation scaffold, while also recording that a simple chain is a negative design under the observed Silo condition

Reference 36

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Observation 5ceac255-c161-48f8-84eb-0b99fbf08dfe · outbound

This paper cites an unresolved cited work.

QueenBee Planner: Skill-Evolving Communication Topologies for Token-Efficient LLM Multi-Agent Systems Unresolved cited work

Reference 37

Resolution
unresolved
no resolver link, observed 2026-06-29T00:52:04.018553Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T00:52:04.018553Z digest=sha256:5024b220ec4aa0d68779bf78dbd6fef137252811d7bc3a65d46c118702cccedc

Observation d4f50967-d2d0-4db7-88d2-bb0de8d06840 · outbound

This paper cites protocol steps:.

QueenBee Planner: Skill-Evolving Communication Topologies for Token-Efficient LLM Multi-Agent Systems protocol steps:

Reference 38

Resolution
unresolved
no resolver link, observed 2026-06-29T00:52:04.018553Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T00:52:04.018553Z digest=sha256:6dc07184852c36a3435dd51f8e8f8b1ff429c3dbd5ef6f17a7c302e458c82342

Observation 779aeb5d-e682-4f67-a4d5-66a4501871c8 · outbound

This paper cites an unresolved cited work.

QueenBee Planner: Skill-Evolving Communication Topologies for Token-Efficient LLM Multi-Agent Systems Unresolved cited work

Reference 39

Resolution
unresolved
no resolver link, observed 2026-06-29T00:52:04.018553Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T00:52:04.018553Z digest=sha256:3507066c2e4041f1c1f72f2899f4b9a011233f1858008d8d07e1a1e510c40321

Observation 4b0b681a-80d5-4f7e-b07f-83502112e85b · outbound

This paper cites an unresolved cited work.

QueenBee Planner: Skill-Evolving Communication Topologies for Token-Efficient LLM Multi-Agent Systems Unresolved cited work

Reference 40

Resolution
unresolved
no resolver link, observed 2026-06-29T00:52:04.018553Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T00:52:04.018553Z digest=sha256:d1ba41f90e70f8d0f007cb9a69dbd3edfb3b572db4083b707cdca3dcacb837dc

Observation 7299c1db-d7ee-48db-a8fe-b85de407cfbc · outbound

This paper cites Round 2 adds more specific reduction patterns.

QueenBee Planner: Skill-Evolving Communication Topologies for Token-Efficient LLM Multi-Agent Systems Round 2 adds more specific reduction patterns

Reference 41

Resolution
unresolved
no resolver link, observed 2026-06-29T00:52:04.018553Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T00:52:04.018553Z digest=sha256:74a68530fbeb8e9491da32388e8aa71e961eb32cc264de5390de6a7d9118ef5e

Observation 6b9cdcd1-e3b8-409d-b2c6-9f01a4d90c55 · outbound

This paper cites an unresolved cited work.

QueenBee Planner: Skill-Evolving Communication Topologies for Token-Efficient LLM Multi-Agent Systems Unresolved cited work

Reference 42

Resolution
unresolved
no resolver link, observed 2026-06-29T00:52:04.018553Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T00:52:04.018553Z digest=sha256:66cd2e193af89f378e0c1e3ef0809f2ced4ef1a5d0ed7507eed58da29fc4cede

Observation c617195a-7433-4252-86fd-4e4596d1c8d9 · outbound

This paper cites an unresolved cited work.

QueenBee Planner: Skill-Evolving Communication Topologies for Token-Efficient LLM Multi-Agent Systems Unresolved cited work

Reference 43

Resolution
unresolved
no resolver link, observed 2026-06-29T00:52:04.018553Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T00:52:04.018553Z digest=sha256:2e8e6fb8b8709019fd6f38d8ba89415c7faaf201707799862390d01718acb678

Observation 31ad83fc-5185-4462-92d3-624b5ac5d7de · outbound

This paper cites an unresolved cited work.

QueenBee Planner: Skill-Evolving Communication Topologies for Token-Efficient LLM Multi-Agent Systems Unresolved cited work

Reference 44

Resolution
unresolved
no resolver link, observed 2026-06-29T00:52:04.018553Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T00:52:04.018553Z digest=sha256:b64ed36ad897b7473add0a6e10654474b08c02b4bbf13e36255fbc9fabaa8ed7

Observation 70cd77ba-37b0-492a-a69e-d7d4afb3de68 · outbound

This paper cites an unresolved cited work.

QueenBee Planner: Skill-Evolving Communication Topologies for Token-Efficient LLM Multi-Agent Systems Unresolved cited work

Reference 45

Resolution
unresolved
no resolver link, observed 2026-06-29T00:52:04.018553Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T00:52:04.018553Z digest=sha256:7b68c67068b5845fd1b35c251c8104e2bcbff75f17c6c1e608ff82afd2e040a8

Observation 88c5344a-71ef-4754-a6c6-3cb75a466fd4 · outbound

This paper cites an unresolved cited work.

QueenBee Planner: Skill-Evolving Communication Topologies for Token-Efficient LLM Multi-Agent Systems Unresolved cited work

Reference 46

Resolution
unresolved
no resolver link, observed 2026-06-29T00:52:04.018553Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T00:52:04.018553Z digest=sha256:c1b82b751e5f43b85e8e897696911aa6eb8d290c8f137d08747e976c12b284dc

Observation 58ec4699-d290-4405-a9f3-2a832c3f4cb9 · outbound

This paper cites an unresolved cited work.

QueenBee Planner: Skill-Evolving Communication Topologies for Token-Efficient LLM Multi-Agent Systems Unresolved cited work

Reference 47

Resolution
unresolved
no resolver link, observed 2026-06-29T00:52:04.018553Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T00:52:04.018553Z digest=sha256:95c99844e7bab20f0c3d638aa89b8b62b3b7c44d802f7a200c934b352a7a700f

Observation 3a672791-0bab-4d3d-ab2a-9968c6eba609 · outbound

This paper cites an unresolved cited work.

QueenBee Planner: Skill-Evolving Communication Topologies for Token-Efficient LLM Multi-Agent Systems Unresolved cited work

Reference 48

Resolution
unresolved
no resolver link, observed 2026-06-29T00:52:04.018553Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T00:52:04.018553Z digest=sha256:aca8bc1b3ee122e6391f0f621188b93386d9e0812b63cb68348dd0dea2951c1d

Observation ef7f5980-2572-492f-9f72-17244062e7d2 · outbound

This paper cites protocol steps:.

QueenBee Planner: Skill-Evolving Communication Topologies for Token-Efficient LLM Multi-Agent Systems protocol steps:

Reference 49

Resolution
unresolved
no resolver link, observed 2026-06-29T00:52:04.018553Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T00:52:04.018553Z digest=sha256:dd315a008a90e8eee9eb51e1cba86c3bc40624db3ae1e3fa62121aeae9a2f306

Observation e3a88a3c-85d8-4299-8c6d-fbe8536bf587 · outbound

This paper cites Round 4 expands the bank with star-style aggregation variants.

QueenBee Planner: Skill-Evolving Communication Topologies for Token-Efficient LLM Multi-Agent Systems Round 4 expands the bank with star-style aggregation variants

Reference 50

Resolution
unresolved
no resolver link, observed 2026-06-29T00:52:04.018553Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T00:52:04.018553Z digest=sha256:d19ebad96f86e0e8d49010e64759ae0047782486e2ac3161ef815fdaa3a23ee5

Observation 5866f088-53bb-4230-befb-f393f0216b21 · outbound

This paper cites an unresolved cited work.

QueenBee Planner: Skill-Evolving Communication Topologies for Token-Efficient LLM Multi-Agent Systems Unresolved cited work

Reference 51

Resolution
unresolved
no resolver link, observed 2026-06-29T00:52:04.018553Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T00:52:04.018553Z digest=sha256:3e01cdfb9850c391ef4f0cff6e4a7adf80f1cc415ece998c567e3c6ba7d65c41

Pith citing papers

Observation 543204a5-c8b4-4720-a60f-7f6cb2299f8b · inbound

Recursive Self-Improvement in AI: From Bounded Self-Refinement to Autonomous Research Loops cites this paper.

Recursive Self-Improvement in AI: From Bounded Self-Refinement to Autonomous Research Loops QueenBee Planner: Skill-Evolving Communication Topologies for Token-Efficient LLM Multi-Agent Systems

Reference 66

Resolution
verified exact
local_arxiv, observed 2026-07-09T03:45:55.712618Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-07-09T03:36:57.168246Z digest=sha256:77e5b4c23552a55d163b05715754581719413249c028b9c05d28e62e8b6e2fcb