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Paper Citation Record · LEDGER

A Dynamic LLM-Powered Agent Network for Task-Oriented Agent Collaboration

As of 20 August 2026, this Paper Citation Record lists 49 of 49 outbound references and 84 inbound Pith citation observations for arXiv:2310.02170.

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

pith.paper-citation-record.v1
2310.02170 v2

Coverage vector

measured 49 of 49 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-21T21:05:25.809179Z

measured 133 of 133 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 84 of 84 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:50:27.860924Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-03T20:48:56.429753Z

Reference resolution

49 of 49 outbound references displayed

  • verified exact18
  • verified fuzzy21
  • unresolved2
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch8

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 8a2df23d-e4a1-44f7-a56c-51f2a0ef278a · outbound

This paper cites Let’s sample step by step: Adaptive-consistency for efficient reasoning and coding with LLMs.

A Dynamic LLM-Powered Agent Network for Task-Oriented Agent Collaboration Let’s sample step by step: Adaptive-consistency for efficient reasoning and coding with LLMs

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T21:05:26.000835Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-21T21:05:25.809179Z digest=sha256:2cf6ad70987b3514802600abd92076e15d04f705c69a7c317b0fb4afa0f0eb69

Observation 4fbf0f62-a2b6-4a79-8bd4-d000061b1f36 · outbound

This paper cites doi: 10.18653/v1/2023.emnlp-main.761.

A Dynamic LLM-Powered Agent Network for Task-Oriented Agent Collaboration doi: 10.18653/v1/2023.emnlp-main.761

Reference 2

Resolution
verified exact
doi, observed 2026-05-21T21:05:25.844944Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-21T21:05:25.809179Z digest=sha256:2a440104f463a76a7bbd0fe8ae37327ab8f30195164b3bb5ce54ff47b73c8cc4

Observation 2b2b92eb-9740-4d68-8f8d-215dc8f87e4a · outbound

This paper cites AutoAgents: A Framework for Automatic Agent Generation.

A Dynamic LLM-Powered Agent Network for Task-Oriented Agent Collaboration AutoAgents: A Framework for Automatic Agent Generation

Reference 3

Resolution
metadata mismatch
arxiv_id, observed 2026-05-21T21:05:25.899166Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-21T21:05:25.809179Z digest=sha256:077b02072e2a5abad6673fcfc04bdf9d06fb248cbb619d3562a63021b53bc2a2

Observation b5f5f42d-4900-444f-bbf8-0e97f46f6b6a · outbound

This paper cites Pangu-Agent: A Fine-Tunable Generalist Agent with Structured Reasoning.

A Dynamic LLM-Powered Agent Network for Task-Oriented Agent Collaboration Pangu-Agent: A Fine-Tunable Generalist Agent with Structured Reasoning

Reference 4

Resolution
verified exact
arxiv_id, observed 2026-05-21T21:05:25.904565Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-21T21:05:25.809179Z digest=sha256:f4a3df81ff0acdf1f4b20fe4cac7b31a564bfbb5651a1179a54773349966da1c

Observation fce5b05d-a011-4dc2-8c03-7af2f8998b29 · outbound

This paper cites Self-collaboration Code Generation via ChatGPT.

A Dynamic LLM-Powered Agent Network for Task-Oriented Agent Collaboration Self-collaboration Code Generation via ChatGPT

Reference 5

Resolution
verified exact
arxiv_id, observed 2026-05-21T21:05:25.861497Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-21T21:05:25.809179Z digest=sha256:a245bc1a8e42c6f42f1a64d34439dba1dd8b77b84b850be08ea1f8a925ec4fe0

Observation a60d9b26-8b92-4d09-91de-d585281fa516 · outbound

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

A Dynamic LLM-Powered Agent Network for Task-Oriented Agent Collaboration Improving Factuality and Reasoning in Language Models through Multiagent Debate

Reference 6

Resolution
metadata mismatch
local_arxiv, observed 2026-05-21T21:05:25.868071Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-21T21:05:25.809179Z digest=sha256:9bf38f7dc02b771e485f475cff86f05323de74aea4459bb6cbd6700153e91ca2

Observation 71e10b9d-7020-4a7e-b664-c3fa62587e09 · outbound

This paper cites ChatLLM Network: More brains, More intelligence.

A Dynamic LLM-Powered Agent Network for Task-Oriented Agent Collaboration ChatLLM Network: More brains, More intelligence

Reference 7

Resolution
verified exact
arxiv_id, observed 2026-05-21T21:05:25.873974Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-21T21:05:25.809179Z digest=sha256:6d181e1dda4edf003fb229c165dbc5f4d69cf27f7e915050a10e5cddc715ce4b

Observation d1416119-c94c-4c6d-853a-0bd77a6704f0 · outbound

This paper cites SurrealDriver: Designing LLM-powered Generative Driver Agent Framework based on Human Drivers' Driving-thinking Data.

A Dynamic LLM-Powered Agent Network for Task-Oriented Agent Collaboration SurrealDriver: Designing LLM-powered Generative Driver Agent Framework based on Human Drivers' Driving-thinking Data

Reference 8

Resolution
metadata mismatch
arxiv_id, observed 2026-05-21T21:05:25.878843Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-21T21:05:25.809179Z digest=sha256:69509e6c04f17b07630456d382ff31445f7024452f7e6e461ecbf72331612718

Observation 1d33a4a6-f9a1-4b8b-886a-984cd6c4a5a1 · outbound

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

A Dynamic LLM-Powered Agent Network for Task-Oriented Agent Collaboration CAMEL: Communicative agents for ”mind” exploration of large language model society

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T21:05:25.973172Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-21T21:05:25.809179Z digest=sha256:43904c10db3da7b9a76cae38c7df40356e81de73a9b1862ed180894419be278f

Observation 1d95caf7-3f18-4b8c-914e-e761e06adf75 · outbound

This paper cites Encouraging Divergent Thinking in Large Language Models through Multi-Agent Debate.

A Dynamic LLM-Powered Agent Network for Task-Oriented Agent Collaboration Encouraging Divergent Thinking in Large Language Models through Multi-Agent Debate

Reference 10

Resolution
metadata mismatch
local_arxiv, observed 2026-05-21T21:05:25.883634Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-21T21:05:25.809179Z digest=sha256:b4d5ca3f90943e7ad278a6e49d6f7b9d300f6d101812a7434909eb2d4ac87b72

Observation e46e4367-6cce-4f5c-b6dd-c8181fa406a0 · outbound

This paper cites An efficient and truthful pricing mechanism for team formation in crowdsourcing markets.

A Dynamic LLM-Powered Agent Network for Task-Oriented Agent Collaboration An efficient and truthful pricing mechanism for team formation in crowdsourcing markets

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T21:05:26.033709Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-21T21:05:25.809179Z digest=sha256:97d7a7fe2e98c111635602a0d05bbf18f88d331b15cb942d797a89b568cd9971

Observation edbfce37-cd5d-40a1-aa97-70fcd4111e78 · outbound

This paper cites BOLAA: Benchmarking and Orchestrating LLM-augmented Autonomous Agents.

A Dynamic LLM-Powered Agent Network for Task-Oriented Agent Collaboration BOLAA: Benchmarking and Orchestrating LLM-augmented Autonomous Agents

Reference 12

Resolution
verified exact
arxiv_id, observed 2026-05-21T21:05:25.889426Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-21T21:05:25.809179Z digest=sha256:ed3851ff80e73ad91af11a5ac95a60cbf6b9cf4ed3c904e3fd0d510d99a33f04

Observation df950e48-bbf6-4dd7-90cb-cc2caa0d08dc · outbound

This paper cites LASER: LLM Agent with State-Space Exploration for Web Navigation.

A Dynamic LLM-Powered Agent Network for Task-Oriented Agent Collaboration LASER: LLM Agent with State-Space Exploration for Web Navigation

Reference 13

Resolution
verified exact
arxiv_id, observed 2026-05-21T21:05:25.894445Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-21T21:05:25.809179Z digest=sha256:de2a1061676d72fe21ca0ade2e834c854e7e510ff490e2a7874093bd031c9a3a

Observation 7d6668bc-75da-45ff-a796-812f03d9a01c · outbound

This paper cites GPT-in-the-Loop: Adaptive Decision-Making for Multiagent Systems.

A Dynamic LLM-Powered Agent Network for Task-Oriented Agent Collaboration GPT-in-the-Loop: Adaptive Decision-Making for Multiagent Systems

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-05-21T21:05:25.909952Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-21T21:05:25.809179Z digest=sha256:31a75b02fc02871f0bb125865a5a02ecad620bd11ca3958c56c79a4457bf38f1

Observation 7ff20395-59ab-42e0-9129-c03e156a1b00 · outbound

This paper cites GPT-4 Technical Report.

A Dynamic LLM-Powered Agent Network for Task-Oriented Agent Collaboration GPT-4 Technical Report

Reference 15

Resolution
verified exact
local_arxiv, observed 2026-05-21T21:05:25.914003Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-21T21:05:25.809179Z digest=sha256:b2b23f941e7d52d60a8e25fdd2d684f09fc09a7e8c018d2c65668f344fb38512

Observation fc632731-4d82-471e-84d1-8cb298070fb9 · outbound

This paper cites ChatDev: Communicative Agents for Software Development.

A Dynamic LLM-Powered Agent Network for Task-Oriented Agent Collaboration ChatDev: Communicative Agents for Software Development

Reference 16

Resolution
metadata mismatch
local_arxiv, observed 2026-05-21T21:05:25.918184Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-21T21:05:25.809179Z digest=sha256:ed84c801e25bc7309f36402f4423c91501c11b5c25f34ac3714250c1fcb48338

Observation a1770eb8-86df-4c2f-9398-c41bd3bb420d · outbound

This paper cites Large Language Models are Effective Text Rankers with Pairwise Ranking Prompting.

A Dynamic LLM-Powered Agent Network for Task-Oriented Agent Collaboration Large Language Models are Effective Text Rankers with Pairwise Ranking Prompting

Reference 17

Resolution
verified exact
arxiv_id, observed 2026-05-21T21:05:25.922723Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-21T21:05:25.809179Z digest=sha256:53b6ef454256dfa6f55af5b0c9ecf96add2b9b8dd3be865f522353135f948011

Observation 5b2f94bc-79e9-497c-ab9d-0538bf18b674 · outbound

This paper cites CodeBLEU: a Method for Automatic Evaluation of Code Synthesis.

A Dynamic LLM-Powered Agent Network for Task-Oriented Agent Collaboration CodeBLEU: a Method for Automatic Evaluation of Code Synthesis

Reference 18

Resolution
metadata mismatch
local_arxiv, observed 2026-05-21T21:05:25.927229Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-21T21:05:25.809179Z digest=sha256:90db572af69c7997623a058ed746b8376fa30512e928f09cef548fc7d5a563c4

Observation 912825a5-0ca3-4e37-92d3-bb8a7b642c57 · outbound

This paper cites TPTU: Task planning and tool usage of large language model-based AI agents.

A Dynamic LLM-Powered Agent Network for Task-Oriented Agent Collaboration TPTU: Task planning and tool usage of large language model-based AI agents

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T21:05:26.017840Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-21T21:05:25.809179Z digest=sha256:e5882c408615ec4ea79b271e20994be1fbd976c1300997771ed2528dad855dc3

Observation e1248052-def0-4dac-b53b-89351a231f4e · outbound

This paper cites Meta-Prompting: Enhancing Language Models with Task-Agnostic Scaffolding.

A Dynamic LLM-Powered Agent Network for Task-Oriented Agent Collaboration Meta-Prompting: Enhancing Language Models with Task-Agnostic Scaffolding

Reference 20

Resolution
metadata mismatch
arxiv_id, observed 2026-05-21T21:05:25.931994Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-21T21:05:25.809179Z digest=sha256:4415b96337feab3062b5eca874a38a2e6e04280b39f20a4dda0afcebf65a6743

Observation b80b48a2-f4e3-49dc-9a0b-329ea06d7a83 · outbound

This paper cites Unleashing the Emergent Cognitive Synergy in Large Language Models: A Task-Solving Agent through Multi-Persona Self-Collaboration.

A Dynamic LLM-Powered Agent Network for Task-Oriented Agent Collaboration Unleashing the Emergent Cognitive Synergy in Large Language Models: A Task-Solving Agent through Multi-Persona Self-Collaboration

Reference 21

Resolution
verified exact
arxiv_id, observed 2026-05-21T21:05:25.936695Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-21T21:05:25.809179Z digest=sha256:924d6fcc4e07d19952fc9a4adc3a1c75fbc0aff8b2a24abec79471b67c7637e8

Observation 4551b5fd-a15e-45a0-a995-7f3b9679d78c · outbound

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

A Dynamic LLM-Powered Agent Network for Task-Oriented Agent Collaboration AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation

Reference 22

Resolution
metadata mismatch
local_arxiv, observed 2026-05-21T21:05:25.940963Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-21T21:05:25.809179Z digest=sha256:41bdb080d4733dff4e5199cfe0c564074a37ba2c74a3918e6ebb279944f479aa

Observation 269919d2-4dac-41e9-a053-5aab9b863e29 · outbound

This paper cites Listwise approach to learning to rank: Theory and algorithm.

A Dynamic LLM-Powered Agent Network for Task-Oriented Agent Collaboration Listwise approach to learning to rank: Theory and algorithm

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T21:05:26.028582Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-21T21:05:25.809179Z digest=sha256:2ad4f12ab73dd5bcf5ef019a76dde1a9868e5d41e44815c452c31894bfb0aea5

Observation 26331a0f-b0cd-4785-b455-5b7c312369f6 · outbound

This paper cites ISBN 9781605582054.

A Dynamic LLM-Powered Agent Network for Task-Oriented Agent Collaboration ISBN 9781605582054

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T21:05:26.030797Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-21T21:05:25.809179Z digest=sha256:376c18417c9748c52c72e3a1f12765570c50dfb58a371060b8260f2981e160e2

Observation 3cb22ba5-43bf-436c-ac9a-27f5e13212ef · outbound

This paper cites doi: 10.18653/v1/2023.findings-emnlp.508.

A Dynamic LLM-Powered Agent Network for Task-Oriented Agent Collaboration doi: 10.18653/v1/2023.findings-emnlp.508

Reference 25

Resolution
verified exact
doi, observed 2026-05-21T21:05:25.850808Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-21T21:05:25.809179Z digest=sha256:c913e2b5c05b9d93cc66a6f40d311dc8173e7331acaad80393a2784838a767b8

Observation c6f3a24e-4c57-488d-9f02-e189c4ab99e5 · outbound

This paper cites Zhangyue Yin, Qiushi Sun, Cheng Chang, Qipeng Guo, Junqi Dai, Xuanjing Huang, and Xipeng Qiu.

A Dynamic LLM-Powered Agent Network for Task-Oriented Agent Collaboration Zhangyue Yin, Qiushi Sun, Cheng Chang, Qipeng Guo, Junqi Dai, Xuanjing Huang, and Xipeng Qiu

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T21:05:26.036132Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-21T21:05:25.809179Z digest=sha256:cb6366d2f9d872c9fd43a8c470cf719913aa7c3120fb7d160c8578c5f96ba5d3

Observation c312d391-bede-4b73-91d7-c8d7880ed6af · outbound

This paper cites doi: 10.18653/v1/2023.emnlp-main.936.

A Dynamic LLM-Powered Agent Network for Task-Oriented Agent Collaboration doi: 10.18653/v1/2023.emnlp-main.936

Reference 27

Resolution
verified exact
doi, observed 2026-05-21T21:05:25.854293Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-21T21:05:25.809179Z digest=sha256:c6f2828231390c145eaee507868dc686ae1a5669db992572f90bf96c22616c52

Observation cea647dd-6705-466f-8eb7-1d5dac380c8c · outbound

This paper cites Morariu, Xintong Han, Mingfei Gao, Ching-Yung Lin, and Larry S.

A Dynamic LLM-Powered Agent Network for Task-Oriented Agent Collaboration Morariu, Xintong Han, Mingfei Gao, Ching-Yung Lin, and Larry S

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T21:05:25.976557Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-21T21:05:25.809179Z digest=sha256:d72b975e5afe80968c6dc239ad0fc7f086f84b90a5877b302096748c9088eb57

Observation b582bf3d-b318-480a-bc77-39c7a5be676d · outbound

This paper cites Exploring Collaboration Mechanisms for LLM Agents: A Social Psychology View.

A Dynamic LLM-Powered Agent Network for Task-Oriented Agent Collaboration Exploring Collaboration Mechanisms for LLM Agents: A Social Psychology View

Reference 29

Resolution
verified exact
arxiv_id, observed 2026-05-21T21:05:25.946185Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-21T21:05:25.809179Z digest=sha256:324689ff5e311ba21bc26b7066a92b6709ec8078122efa3b3a5473c9fd83521a

Observation fbd24e7c-57ef-4308-94ba-c3d502e5e67a · outbound

This paper cites Progressive-Hint Prompting Improves Reasoning in Large Language Models.

A Dynamic LLM-Powered Agent Network for Task-Oriented Agent Collaboration Progressive-Hint Prompting Improves Reasoning in Large Language Models

Reference 30

Resolution
verified exact
arxiv_id, observed 2026-05-21T21:05:25.950816Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-21T21:05:25.809179Z digest=sha256:28ba5d8b4c596d66252cb4a80842ad16a5ae58bbcf5bcd12b48767031cb1c27f

Observation 12de5b60-320e-4a15-87cb-e42af6c1d278 · outbound

This paper cites Language Agent Tree Search Unifies Reasoning Acting and Planning in Language Models.

A Dynamic LLM-Powered Agent Network for Task-Oriented Agent Collaboration Language Agent Tree Search Unifies Reasoning Acting and Planning in Language Models

Reference 31

Resolution
verified exact
local_arxiv, observed 2026-05-21T21:05:25.955179Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-21T21:05:25.809179Z digest=sha256:c73745b81595ec53d2222579a849f11ab935de08396688afcaff6bdaf56356c4

Observation 649ed693-e0e8-4cd7-a2c3-0a7acd64cee1 · outbound

This paper cites LLM As DBA.

A Dynamic LLM-Powered Agent Network for Task-Oriented Agent Collaboration LLM As DBA

Reference 32

Resolution
verified exact
arxiv_id, observed 2026-05-21T21:05:25.959864Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-21T21:05:25.809179Z digest=sha256:c465fd2a305d95171276c0cd369f57d01534a302184ef02a929275d4b5a59b3d

Observation 7f90541d-16e6-40db-ac22-9d4d471004bf · outbound

This paper cites Ghost in the Minecraft: Generally Capable Agents for Open-World Environments via Large Language Models with Text-based Knowledge and Memory.

A Dynamic LLM-Powered Agent Network for Task-Oriented Agent Collaboration Ghost in the Minecraft: Generally Capable Agents for Open-World Environments via Large Language Models with Text-based Knowledge and Memory

Reference 33

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local_arxiv, observed 2026-05-21T21:05:25.963877Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-21T21:05:25.809179Z digest=sha256:e9e89ffc49bdb79bb11f5b0548b14071322bc9c19d68e2a3e32394111f8ce135

Observation f3721202-a668-4fa2-81a1-eedc7ab15246 · outbound

This paper cites Language Agents as Optimizable Graphs.

A Dynamic LLM-Powered Agent Network for Task-Oriented Agent Collaboration Language Agents as Optimizable Graphs

Reference 34

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arxiv_id, observed 2026-05-21T21:05:25.968969Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-21T21:05:25.809179Z digest=sha256:cd0417d902b7682b5bf13a8e3eac93ace50160f006c90ad2a2dde9820f01471b

Observation a96f07e9-365e-40b8-afe9-56a25371e725 · outbound

This paper cites In fact, the performance could be further leveraged by task- specific methods like CodeBLEU (Ren et al.

A Dynamic LLM-Powered Agent Network for Task-Oriented Agent Collaboration In fact, the performance could be further leveraged by task- specific methods like CodeBLEU (Ren et al

Reference 35

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raw_fallback, observed 2026-05-21T21:05:25.997816Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-21T21:05:25.809179Z digest=sha256:2c3ba0591e242908902cda020b1674c8c03c04385a3c2c4401133f4259fbd59a

Observation 38becd62-8bf9-48fc-aa92-1498519e1559 · outbound

This paper cites an unresolved cited work.

A Dynamic LLM-Powered Agent Network for Task-Oriented Agent Collaboration Unresolved cited work

Reference 36

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raw_fallback, observed 2026-05-21T21:05:26.003510Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-21T21:05:25.809179Z digest=sha256:56242a504f24661b7b859d39c237e2c424e801ba0340a209f74b6b42dad01d8d

Observation 341fcae2-6706-4786-85b9-e8ada86d73ee · outbound

This paper cites We follow the answer extraction method from the origin paper (Hendrycks et al., 2021b).

A Dynamic LLM-Powered Agent Network for Task-Oriented Agent Collaboration We follow the answer extraction method from the origin paper (Hendrycks et al., 2021b)

Reference 37

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raw_fallback, observed 2026-05-21T21:05:26.006376Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-21T21:05:25.809179Z digest=sha256:39ee745fbb90224bd090f778282fb37ac9c8f5939d615fc3b05d4e7af8b7348b

Observation 0a12554c-5419-4dcb-bca9-f218943c6bd7 · outbound

This paper cites nrefs:1|case:mixed|eff:no|tok:13a|smooth:exp|version:2.3.1.

A Dynamic LLM-Powered Agent Network for Task-Oriented Agent Collaboration nrefs:1|case:mixed|eff:no|tok:13a|smooth:exp|version:2.3.1

Reference 38

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raw_fallback, observed 2026-05-21T21:05:26.009193Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-21T21:05:25.809179Z digest=sha256:e05f9277d81db714dc3496b91c920ad22f68d5822d4e7d4766b2fe74e89c1b82

Observation 8d15aef0-0331-4f94-baa7-7511f7b94502 · outbound

This paper cites We sample the subsets with the proportions of 1% and 10% of the original dataset.

A Dynamic LLM-Powered Agent Network for Task-Oriented Agent Collaboration We sample the subsets with the proportions of 1% and 10% of the original dataset

Reference 39

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verified fuzzy
raw_fallback, observed 2026-05-21T21:05:26.012054Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-21T21:05:25.809179Z digest=sha256:7689d53e44a11b7e3c5e056b1b197f3a17543d8183b54efb45451712207c5013

Observation 26373281-4bf4-4c46-b5a2-9450a4fe436f · outbound

This paper cites Doctor” and “Programmer.

A Dynamic LLM-Powered Agent Network for Task-Oriented Agent Collaboration Doctor” and “Programmer

Reference 40

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raw_fallback, observed 2026-05-21T21:05:26.014980Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-21T21:05:25.809179Z digest=sha256:438fd0c8a8c263c40bf197800ee323354c1218771d405419f6f113f4da31142c

Observation 9e877ca0-0822-4f4f-ba2c-163d3e6a93d2 · outbound

This paper cites Green annotation denotes the fields related to the role from the human perspective, which are annotated manually.

A Dynamic LLM-Powered Agent Network for Task-Oriented Agent Collaboration Green annotation denotes the fields related to the role from the human perspective, which are annotated manually

Reference 41

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raw_fallback, observed 2026-05-21T21:05:26.020607Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-21T21:05:25.809179Z digest=sha256:c037069e612b6e266747da23b5f0d0fb4871aafda26a2e98ccc0486bf2a7b58b

Observation d4ddbe1b-43ba-4ae8-a668-c2eddfdc220c · outbound

This paper cites Experiments show that temperature greatly influences arithmetic reasoning and code gener- ation tasks.

A Dynamic LLM-Powered Agent Network for Task-Oriented Agent Collaboration Experiments show that temperature greatly influences arithmetic reasoning and code gener- ation tasks

Reference 42

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verified fuzzy
raw_fallback, observed 2026-05-21T21:05:26.023211Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-21T21:05:25.809179Z digest=sha256:b2b210706574cdee264924a2a38136ed5818abac37eba7695df5663dfa65604c

Observation bede228d-eba9-4a9a-97a3-9b20ea004f7a · outbound

This paper cites We tested listwise ranker with our own prompts, pairwise GPT ranker from original LLM-Blender (Jiang et al., 2023), Elo Score from TrueSkill (Herbrich et al.

A Dynamic LLM-Powered Agent Network for Task-Oriented Agent Collaboration We tested listwise ranker with our own prompts, pairwise GPT ranker from original LLM-Blender (Jiang et al., 2023), Elo Score from TrueSkill (Herbrich et al

Reference 43

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raw_fallback, observed 2026-05-21T21:05:26.025928Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-21T21:05:25.809179Z digest=sha256:e2a7851bfe47fe85c9c1904cbde0d383fc614351566bab7f1ccc6a72e48c37e2

Observation d0d37872-5d3e-4f47-8c67-9067a22ffbbf · outbound

This paper cites an unresolved cited work.

A Dynamic LLM-Powered Agent Network for Task-Oriented Agent Collaboration Unresolved cited work

Reference 44

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unresolved
raw_fallback, observed 2026-05-21T21:05:25.979808Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-21T21:05:25.809179Z digest=sha256:c49658736d3fa400625547f9ede59199b7c6e1c195705636206cac5800cfea73

Observation 4fe90803-c915-45c7-978a-d3c9fc628e0c · outbound

This paper cites Mathematician.

A Dynamic LLM-Powered Agent Network for Task-Oriented Agent Collaboration Mathematician

Reference 45

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raw_fallback, observed 2026-05-21T21:05:25.982675Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-21T21:05:25.809179Z digest=sha256:4263ce728db51b6b3115fd449877ae5194b6caabc850327ed84db7d2c72c71f0

Observation 870732e0-5f86-42b0-a83f-45d5a1fc34ad · outbound

This paper cites Examples: ······ ””” Please follow the function signature and complete the implementation of the Python function.

A Dynamic LLM-Powered Agent Network for Task-Oriented Agent Collaboration Examples: ······ ””” Please follow the function signature and complete the implementation of the Python function

Reference 46

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raw_fallback, observed 2026-05-21T21:05:25.985902Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-21T21:05:25.809179Z digest=sha256:d8cd4d25f54d02f0f6e526821866dd016e3994184d54999365bd0de10f6658b5

Observation f7dabeae-b321-4106-bca1-6cb6968b8839 · outbound

This paper cites ```python res = np.power(2, n) return res ``` (incorrect) Algorithm Developer Algorithm Developer Apologize for the error.

A Dynamic LLM-Powered Agent Network for Task-Oriented Agent Collaboration ```python res = np.power(2, n) return res ``` (incorrect) Algorithm Developer Algorithm Developer Apologize for the error

Reference 47

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verified fuzzy
raw_fallback, observed 2026-05-21T21:05:25.988874Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-21T21:05:25.809179Z digest=sha256:b247cc6e5d27a2a345d08ff82627b05914129a23085b2d1e698ed6a33a6768f5

Observation 6a9327b3-a8fb-467b-b47b-11ac3c695f61 · outbound

This paper cites Doctor ④ Agent Importance Scores Figure 6: A case of DyLAN solving general reasoning task.

A Dynamic LLM-Powered Agent Network for Task-Oriented Agent Collaboration Doctor ④ Agent Importance Scores Figure 6: A case of DyLAN solving general reasoning task

Reference 48

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verified fuzzy
raw_fallback, observed 2026-05-21T21:05:25.991944Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-21T21:05:25.809179Z digest=sha256:ac5ddd8b65678ecccda50cae5c89d548b9f840dc070d3c724566a702b562d481

Observation fbf6dade-b22a-40c0-8990-ddf84ac41265 · outbound

This paper cites Action: search[...].

A Dynamic LLM-Powered Agent Network for Task-Oriented Agent Collaboration Action: search[...]

Reference 49

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verified fuzzy
raw_fallback, observed 2026-05-21T21:05:25.994809Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-21T21:05:25.809179Z digest=sha256:04b440ab041a088ddcb584e812e4333db6681b915d22e18def8c12caa2eceaba

Pith citing papers

Observation a505de5b-d9eb-4ec7-a8df-ed8fd633c770 · inbound

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

Large Language Model based Multi-Agents: A Survey of Progress and Challenges A Dynamic LLM-Powered Agent Network for Task-Oriented Agent Collaboration

Reference 38

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verified exact
arxiv_id, observed 2026-05-21T21:05:26.036961Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-12T06:58:54.921355Z digest=sha256:556b73db1864156788341fd17b2d6e82a4f46d7f6fa814f20691427975e14394

Observation ea4ebea2-42c0-4af7-b21a-0449b6347285 · inbound

The Landscape of Emerging AI Agent Architectures for Reasoning, Planning, and Tool Calling: A Survey cites this paper.

The Landscape of Emerging AI Agent Architectures for Reasoning, Planning, and Tool Calling: A Survey A Dynamic LLM-Powered Agent Network for Task-Oriented Agent Collaboration

Reference 19

Resolution
verified exact
arxiv_id, observed 2026-05-21T21:05:26.036961Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-16T23:16:41.679855Z digest=sha256:c3b46e3dfd5aeab8cc582ce9a603faa89e4ed32dbdb8b0e86aa136949e37bd10

Observation 488dde72-99e6-4ddf-be4a-60d3a260de87 · inbound

Scaling Synthetic Data Creation with 1,000,000,000 Personas cites this paper.

Scaling Synthetic Data Creation with 1,000,000,000 Personas A Dynamic LLM-Powered Agent Network for Task-Oriented Agent Collaboration

Reference 18

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verified exact
arxiv_id, observed 2026-05-21T21:05:26.036961Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-16T00:03:55.599967Z digest=sha256:028aef5a96023779e6e38a248257f9556e513a164fe0c4d73a9593295025e04e

Observation 951904f2-55e9-49fc-a87b-aa35965d7b7c · inbound

Automated Design of Agentic Systems cites this paper.

Automated Design of Agentic Systems A Dynamic LLM-Powered Agent Network for Task-Oriented Agent Collaboration

Reference 175

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arxiv_id, observed 2026-05-21T21:05:26.036961Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-05-15T08:07:54.611771Z digest=sha256:6432707c401b011e5f435af1a88703adb11a6b697f4b3c7fef98467277ddfcd3

Observation f25398ea-6d22-4e26-9cd6-e39de0ace514 · inbound

A Survey on Human-Centric LLMs cites this paper.

A Survey on Human-Centric LLMs A Dynamic LLM-Powered Agent Network for Task-Oriented Agent Collaboration

Reference 121

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no resolver link, observed 2026-08-12T16:42:08.297316Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T16:42:08.297316Z digest=sha256:2d36afa018a2db2078332803be418775f1e2d6ebab711049853c11dc4404569e

Observation 8c9f4eba-d2d8-4b57-bd8e-f2eb4b99a35c · inbound

Deploying Foundation Model Powered Agent Services: A Survey cites this paper.

Deploying Foundation Model Powered Agent Services: A Survey A Dynamic LLM-Powered Agent Network for Task-Oriented Agent Collaboration

Reference 286

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no resolver link, observed 2026-08-11T13:09:47.428888Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T13:09:47.428888Z digest=sha256:7408b8c68816f1e5f2c71529d14335550d8231555073b896cb3b0956b832e61b

Observation 617c2467-29b1-4e2e-bc58-9e7d66b19c50 · inbound

Multi-Agent Sampling: Scaling Inference Compute for Data Synthesis with Tree Search-Based Agentic Collaboration cites this paper.

Multi-Agent Sampling: Scaling Inference Compute for Data Synthesis with Tree Search-Based Agentic Collaboration A Dynamic LLM-Powered Agent Network for Task-Oriented Agent Collaboration

Reference 30

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no resolver link, observed 2026-08-11T05:53:01.288181Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T05:53:01.288181Z digest=sha256:0ded07b9ed8111c8a0020226f1bc525c3155bf90a4e069292b52ba3937cdd16a

Observation 6f729a70-f22f-4eff-aff1-dd94440678db · inbound

Large language models for artificial general intelligence (AGI): A survey of foundational principles and approaches cites this paper.

Large language models for artificial general intelligence (AGI): A survey of foundational principles and approaches A Dynamic LLM-Powered Agent Network for Task-Oriented Agent Collaboration

Reference 214

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no resolver link, observed 2026-08-10T21:56:12.850946Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:56:12.850946Z digest=sha256:5d0b76075290b608adc4a6ff0f5e01ea8dd2d031bae7059ec7cc5cc841b2b029

Observation 4b87072e-5cd7-4871-bbae-34bdb5798524 · inbound

Flow: Modularized Agentic Workflow Automation cites this paper.

Flow: Modularized Agentic Workflow Automation A Dynamic LLM-Powered Agent Network for Task-Oriented Agent Collaboration

Reference 12

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no resolver link, observed 2026-08-10T20:37:40.395261Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:37:40.395261Z digest=sha256:3644f38b9ebf37bf43fd007c00a90c33a1ea8b0f11e9730ee0b4db7dc39e6951

Observation f9a344ec-c16f-49f0-9888-83e87f3fd8dc · inbound

Faster Machine Translation Ensembling with Reinforcement Learning and Competitive Correction cites this paper.

Faster Machine Translation Ensembling with Reinforcement Learning and Competitive Correction A Dynamic LLM-Powered Agent Network for Task-Oriented Agent Collaboration

Reference 2023

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unresolved
no resolver link, observed 2026-08-10T14:33:23.076665Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T14:33:23.076665Z digest=sha256:2c7537475e8cc0d29116ab34b73a5a1fb797920eb1c88342d5c8603062956027

Observation 7d785d9a-cec9-4653-87de-6b620dc96d1c · inbound

A Survey of Scaling in Large Language Model Reasoning cites this paper.

A Survey of Scaling in Large Language Model Reasoning A Dynamic LLM-Powered Agent Network for Task-Oriented Agent Collaboration

Reference 120

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verified exact
local_arxiv, observed 2026-05-22T21:22:08.936138Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-22T21:20:07.238992Z digest=sha256:16fbdddead9bb944a6e0134c722e36712108601dc0e7e6bda8b7c32f8777bd71

Observation e3a1c42c-2c14-46da-a5a2-310886184be1 · inbound

Meta-Thinking in LLMs via Multi-Agent Reinforcement Learning: A Survey cites this paper.

Meta-Thinking in LLMs via Multi-Agent Reinforcement Learning: A Survey A Dynamic LLM-Powered Agent Network for Task-Oriented Agent Collaboration

Reference 33

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no resolver link, observed 2026-08-16T11:50:27.860924Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:50:27.860924Z digest=sha256:f739e63577d081ea08e1f7affb4720f6c09b1c38cf0121ccbbbbbf00e908b532

Observation bc67433c-a673-4b19-918f-21179d8a5d0e · inbound

FlowReasoner: Reinforcing Query-Level Meta-Agents cites this paper.

FlowReasoner: Reinforcing Query-Level Meta-Agents A Dynamic LLM-Powered Agent Network for Task-Oriented Agent Collaboration

Reference 33

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no resolver link, observed 2026-08-16T11:33:02.810831Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:33:02.810831Z digest=sha256:f451fbdd0af6ac84e5ec2cd6106f47d90ce9701ee8df1da3a83209362b2c4f90

Observation 2c3cee4b-7684-4688-b3b1-f86027e64325 · inbound

Multi-agent Embodied AI: Advances and Future Directions cites this paper.

Multi-agent Embodied AI: Advances and Future Directions A Dynamic LLM-Powered Agent Network for Task-Oriented Agent Collaboration

Reference 118

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no resolver link, observed 2026-08-15T23:16:15.663630Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:16:15.663630Z digest=sha256:29a5b93c0aa8934296ee7301df5b02c05530f798f722a98c250b32c19cf42c6b

Observation e0927a89-4dbe-45d8-95a1-afc369699e6c · inbound

BELLE: A Bi-Level Multi-Agent Reasoning Framework for Multi-Hop Question Answering cites this paper.

BELLE: A Bi-Level Multi-Agent Reasoning Framework for Multi-Hop Question Answering A Dynamic LLM-Powered Agent Network for Task-Oriented Agent Collaboration

Reference 39

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unresolved
no resolver link, observed 2026-08-15T20:53:21.861043Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T20:53:21.861043Z digest=sha256:d200830107e572d074b22f3e4e7e4eee66aa184933acc558ae1411d6e0a4b12f

Observation 6acbad61-a277-4c41-9e65-3cfe22eb89a8 · inbound

AgentSGEN: Multi-Agent LLM in the Loop for Semantic Collaboration and GENeration of Synthetic Data cites this paper.

AgentSGEN: Multi-Agent LLM in the Loop for Semantic Collaboration and GENeration of Synthetic Data A Dynamic LLM-Powered Agent Network for Task-Oriented Agent Collaboration

Reference 12

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unresolved
no resolver link, observed 2026-08-15T23:22:41.519245Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:22:41.519245Z digest=sha256:83deba385e1cba640e45062135e5e18d1e92bc13271b01dac785bee42fe66ec2

Observation 9cf7383f-98b0-4199-9d5c-07e4f4053c91 · inbound

Two Experts Are All You Need for Steering Thinking: Reinforcing Cognitive Effort in MoE Reasoning Models Without Additional Training cites this paper.

Two Experts Are All You Need for Steering Thinking: Reinforcing Cognitive Effort in MoE Reasoning Models Without Additional Training A Dynamic LLM-Powered Agent Network for Task-Oriented Agent Collaboration

Reference 86

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unresolved
no resolver link, observed 2026-08-07T15:36:06.402644Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:36:06.402644Z digest=sha256:0f1814d9be888153bef5f72eb125e38a69bfdbd8d6ee0307119f73b0847470f9

Observation 6c811f19-c669-4eb6-adc1-be50e55d745f · inbound

CoTGuard: Using Chain-of-Thought Triggering for Copyright Protection in Multi-Agent LLM Systems cites this paper.

CoTGuard: Using Chain-of-Thought Triggering for Copyright Protection in Multi-Agent LLM Systems A Dynamic LLM-Powered Agent Network for Task-Oriented Agent Collaboration

Reference 27

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unresolved
no resolver link, observed 2026-08-07T14:18:19.164282Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:18:19.164282Z digest=sha256:29179b94281c72a50db466b80bb950b18d86eb3e350fc493f25bcc8dfde9362c

Observation 73ca2157-22ff-408f-98c0-a47875f55b6a · inbound

Efficient Leave-one-out Approximation in LLM Multi-agent Debate Based on Introspection cites this paper.

Efficient Leave-one-out Approximation in LLM Multi-agent Debate Based on Introspection A Dynamic LLM-Powered Agent Network for Task-Oriented Agent Collaboration

Reference 6

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unresolved
no resolver link, observed 2026-08-07T13:16:20.062821Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:16:20.062821Z digest=sha256:ca89462b028791c8ea918a5705a71fa9a778c7e1c5825c7c2c9ee7a57c67d711

Observation e1376552-9ba5-4297-b84f-09bf71198758 · inbound

Cross-Task Experiential Learning on LLM-based Multi-Agent Collaboration cites this paper.

Cross-Task Experiential Learning on LLM-based Multi-Agent Collaboration A Dynamic LLM-Powered Agent Network for Task-Oriented Agent Collaboration

Reference 38

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source=arxiv_source observed=2026-08-07T12:59:57.497596Z digest=sha256:3ca9f5b684c7f750844ad65a3492f7faf0457ff20d4826f6ffcf3f61cd4f5521

Observation ca285ce8-5ec6-45db-9b4f-e1da5d77c7e6 · inbound

Enhancing LLM-Based Code Generation with Complexity Metrics: A Feedback-Driven Approach cites this paper.

Enhancing LLM-Based Code Generation with Complexity Metrics: A Feedback-Driven Approach A Dynamic LLM-Powered Agent Network for Task-Oriented Agent Collaboration

Reference 21

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source=pdf_text observed=2026-08-07T12:42:48.283041Z digest=sha256:1994bdbbe78fd8949c6b65051a2274f8f977594da6ea899adb924295c38950e0

Observation 35527135-64d6-404e-a6c8-578826530b9f · inbound

An Adversary-Resistant Multi-Agent LLM System via Credibility Scoring cites this paper.

An Adversary-Resistant Multi-Agent LLM System via Credibility Scoring A Dynamic LLM-Powered Agent Network for Task-Oriented Agent Collaboration

Reference 22

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no resolver link, observed 2026-08-07T12:35:45.217774Z

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source=arxiv_source observed=2026-08-07T12:35:45.217774Z digest=sha256:c578bf048bd099a48b527f7b3cde80e1c59fc9571bdb396fabe517aad86e8445

Observation 48228321-ff7a-4e47-8d4b-2e45e389ee2c · inbound

Adaptive Graph Pruning for Multi-Agent Communication cites this paper.

Adaptive Graph Pruning for Multi-Agent Communication A Dynamic LLM-Powered Agent Network for Task-Oriented Agent Collaboration

Reference 24

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no resolver link, observed 2026-08-07T11:18:44.316529Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:18:44.316529Z digest=sha256:527bcd4b9a91dc6af804aaec6cbb45de9580fc7709e167f5d0e5d47dce15c00c

Observation 08852b3d-e66b-4715-978b-70e250b80806 · inbound

G-Memory: Tracing Hierarchical Memory for Multi-Agent Systems cites this paper.

G-Memory: Tracing Hierarchical Memory for Multi-Agent Systems A Dynamic LLM-Powered Agent Network for Task-Oriented Agent Collaboration

Reference 72

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no resolver link, observed 2026-08-07T05:39:59.029815Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-07T05:39:59.029815Z digest=sha256:0ecaf241feb68ddefbfc4a97aec68323d8a09c1cdcc976cc6d84ac7206511f6a

Observation 0a85782b-b7fd-4d4d-9b6b-8e4d485ddd4d · inbound

MasHost Builds It All: Autonomous Multi-Agent System Directed by Reinforcement Learning cites this paper.

MasHost Builds It All: Autonomous Multi-Agent System Directed by Reinforcement Learning A Dynamic LLM-Powered Agent Network for Task-Oriented Agent Collaboration

Reference 19

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no resolver link, observed 2026-08-07T05:15:46.266505Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-07T05:15:46.266505Z digest=sha256:ca3f82d7263e87612173667050db6fc2a35f8a1530243d6f1967464ada8415be

Observation 972be171-c09f-400a-978e-8e7357b49945 · inbound

SciSage: A Multi-Agent Framework for High-Quality Scientific Survey Generation cites this paper.

SciSage: A Multi-Agent Framework for High-Quality Scientific Survey Generation A Dynamic LLM-Powered Agent Network for Task-Oriented Agent Collaboration

Reference 29

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no resolver link, observed 2026-08-07T00:48:46.233678Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:48:46.233678Z digest=sha256:a528975e6592ebe3e04f89eb175ee306dc734dff72fc98d8e2bb965a7a20c344

Observation a537ec6d-8c0b-4e25-9ae7-1fa9990e4944 · inbound

Xolver: Multi-Agent Reasoning with Holistic Experience Learning Just Like an Olympiad Team cites this paper.

Xolver: Multi-Agent Reasoning with Holistic Experience Learning Just Like an Olympiad Team A Dynamic LLM-Powered Agent Network for Task-Oriented Agent Collaboration

Reference 31

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source=pdf_text observed=2026-08-07T00:24:14.828288Z digest=sha256:1dab8e0bc9dba2dfad546d0cd8b52aa902cf60a55291ba1a39a818aa4847b6ea

Observation 806cd375-a303-4aac-b410-4fc9cd9dc5b3 · inbound

MedSyn: Enhancing Diagnostics with Human-AI Collaboration cites this paper.

MedSyn: Enhancing Diagnostics with Human-AI Collaboration A Dynamic LLM-Powered Agent Network for Task-Oriented Agent Collaboration

Reference 27

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no resolver link, observed 2026-08-15T23:36:34.333224Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:36:34.333224Z digest=sha256:52425f0ad74890913f2736e77ae97be6dd2cf1391ae318a96ccc02f42ad4fd4a

Observation a318c2c2-242e-4e2d-85d8-ab507e60d21f · inbound

OAgents: An Empirical Study of Building Effective Agents cites this paper.

OAgents: An Empirical Study of Building Effective Agents A Dynamic LLM-Powered Agent Network for Task-Oriented Agent Collaboration

Reference 13

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no resolver link, observed 2026-08-07T00:13:48.159469Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:13:48.159469Z digest=sha256:d62022ef6140b2a829a9b3b0b57364f813a6daea4f8136823b1a034bc80b40bc

Observation 3d8447d2-5ceb-4478-bdc5-f31da2d003d6 · inbound

MAM: Modular Multi-Agent Framework for Multi-Modal Medical Diagnosis via Role-Specialized Collaboration cites this paper.

MAM: Modular Multi-Agent Framework for Multi-Modal Medical Diagnosis via Role-Specialized Collaboration A Dynamic LLM-Powered Agent Network for Task-Oriented Agent Collaboration

Reference 22

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no resolver link, observed 2026-08-15T18:31:37.300214Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T18:31:37.300214Z digest=sha256:19c0e509019aa3dc4a122011e0ed2cbb7136e23f82ee9b5d736488074ae07673

Observation f2d40f7e-b97a-41a5-9809-8b6e1f5bc474 · inbound

Adaptive collaboration for online personalized distributed learning with heterogeneous clients cites this paper.

Adaptive collaboration for online personalized distributed learning with heterogeneous clients A Dynamic LLM-Powered Agent Network for Task-Oriented Agent Collaboration

Reference 25

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no resolver link, observed 2026-08-06T19:04:52.731725Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:04:52.731725Z digest=sha256:77f2406282809340323a83ad657df33025649c4b12beaf9de285273f83abfbaa

Observation fca89ba3-9805-48f2-8624-5a4f86d65d57 · inbound

AgentsNet: Coordination and Collaborative Reasoning in Multi-Agent LLMs cites this paper.

AgentsNet: Coordination and Collaborative Reasoning in Multi-Agent LLMs A Dynamic LLM-Powered Agent Network for Task-Oriented Agent Collaboration

Reference 27

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no resolver link, observed 2026-08-06T18:18:05.549848Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:18:05.549848Z digest=sha256:796a0e00e6d934cd76508630974da5b0a2aa7a52abf3a13920c43834c4d1782a

Observation a73b68d0-37f2-4217-9a9e-171f336ba5cb · inbound

Introspection of Thought Helps AI Agents cites this paper.

Introspection of Thought Helps AI Agents A Dynamic LLM-Powered Agent Network for Task-Oriented Agent Collaboration

Reference 18

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no resolver link, observed 2026-08-06T18:19:58.766877Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:19:58.766877Z digest=sha256:a078bd20a861bd69b5125a392f5bd9144ccf4f4b9c822ecba23b870ef54bfec8

Observation 245fa440-bd69-4ca9-942c-0ae28d6ac339 · inbound

Graph World Model cites this paper.

Graph World Model A Dynamic LLM-Powered Agent Network for Task-Oriented Agent Collaboration

Reference 17

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no resolver link, observed 2026-08-06T17:37:11.721122Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:37:11.721122Z digest=sha256:a15d6ee571659bd0517edf6dd0015c10bfcd6d0ed3709b8fc7bb785f263f1dee

Observation 9cef4cb4-9067-4d19-80f5-7163c93ab83d · inbound

GasAgent: A Multi-Agent Framework for Automated Gas Optimization in Smart Contracts cites this paper.

GasAgent: A Multi-Agent Framework for Automated Gas Optimization in Smart Contracts A Dynamic LLM-Powered Agent Network for Task-Oriented Agent Collaboration

Reference 32

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no resolver link, observed 2026-08-06T15:29:47.545378Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:29:47.545378Z digest=sha256:e937d0e4e6ce1d35d75b2237a322db47ac6bbcdbdbb113a26e7c055bbbabe8b8

Observation afd54810-1063-4622-8c02-bde4e14c0449 · inbound

SVAgent: AI Agent for Hardware Security Verification Assertion cites this paper.

SVAgent: AI Agent for Hardware Security Verification Assertion A Dynamic LLM-Powered Agent Network for Task-Oriented Agent Collaboration

Reference 10

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no resolver link, observed 2026-08-06T15:22:32.904002Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:22:32.904002Z digest=sha256:d8f945b5fba2d35a31d9de37974359cdb8995abe9253be9907eaaf2b93b57b05

Observation ccfc544b-b9c7-4ae0-a727-b95cd6ed19a3 · inbound

GenoMAS: A Multi-Agent Framework for Scientific Discovery via Code-Driven Gene Expression Analysis cites this paper.

GenoMAS: A Multi-Agent Framework for Scientific Discovery via Code-Driven Gene Expression Analysis A Dynamic LLM-Powered Agent Network for Task-Oriented Agent Collaboration

Reference 69

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verified exact
local_arxiv, observed 2026-05-22T00:40:51.407598Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-22T00:37:11.945418Z digest=sha256:81b40371fef206d10928e77f80174c4a6a2a52c3480163be3d051beba8576806

Observation 7afdcc3f-77f8-4371-b595-87ef4648e430 · inbound

Graph-Augmented Large Language Model Agents: Current Progress and Future Prospects cites this paper.

Graph-Augmented Large Language Model Agents: Current Progress and Future Prospects A Dynamic LLM-Powered Agent Network for Task-Oriented Agent Collaboration

Reference 37

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no resolver link, observed 2026-08-06T12:52:01.399134Z

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source=arxiv_source observed=2026-08-06T12:52:01.399134Z digest=sha256:223e7e8048c2660dcaf287889f0acd3b426c2a83e015f13536d951311fb79ef4

Observation cc0f3fab-ac3f-42b0-87a7-770e37a39dc7 · inbound

HiVA: Self-organized Hierarchical Variable Agent via Goal-driven Semantic-Topological Evolution cites this paper.

HiVA: Self-organized Hierarchical Variable Agent via Goal-driven Semantic-Topological Evolution A Dynamic LLM-Powered Agent Network for Task-Oriented Agent Collaboration

Reference 21

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no resolver link, observed 2026-08-05T13:57:27.974524Z

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source=arxiv_source observed=2026-08-05T13:57:27.974524Z digest=sha256:6747b44b97478faacfd8d10dd23c97c0d380beeae04e1a08845114f50b9ab3b5

Observation 46dd2144-ae17-4b2c-8793-d2c664e0f5fc · inbound

LLM-Assisted Iterative Evolution with Swarm Intelligence Toward SuperBrain cites this paper.

LLM-Assisted Iterative Evolution with Swarm Intelligence Toward SuperBrain A Dynamic LLM-Powered Agent Network for Task-Oriented Agent Collaboration

Reference 5

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no resolver link, observed 2026-08-05T13:38:13.126087Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-05T13:38:13.126087Z digest=sha256:af5718155f688e6e405e06726d208a5ff0db0de83716f4dbfe167f70dfe09047

Observation 343c999d-c8e0-452e-9a31-937b1385e903 · inbound

LLMs and their Limited Theory of Mind: Evaluating Mental State Annotations in Situated Dialogue cites this paper.

LLMs and their Limited Theory of Mind: Evaluating Mental State Annotations in Situated Dialogue A Dynamic LLM-Powered Agent Network for Task-Oriented Agent Collaboration

Reference 2012

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no resolver link, observed 2026-08-05T11:46:53.210277Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T11:46:53.210277Z digest=sha256:f9e6ac6a3a2f4f1412fbd767f73999a9b09d874fa97b8659831dcabc2c96f270

Observation 115b9d5f-cacd-482a-8e80-608587455c41 · inbound

DRF: LLM-AGENT Dynamic Reputation Filtering Framework cites this paper.

DRF: LLM-AGENT Dynamic Reputation Filtering Framework A Dynamic LLM-Powered Agent Network for Task-Oriented Agent Collaboration

Reference 10

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no resolver link, observed 2026-08-05T05:04:52.704249Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-05T05:04:52.704249Z digest=sha256:8b62a6424c6837313eb277cc19ab7f610a0161ba3660a5b86b8ec9d191d20aa4

Observation 9f19396a-df10-4e85-99ff-8a96518ad632 · inbound

Dynamic Generation of Multi-LLM Agents Communication Topologies with Graph Diffusion Models cites this paper.

Dynamic Generation of Multi-LLM Agents Communication Topologies with Graph Diffusion Models A Dynamic LLM-Powered Agent Network for Task-Oriented Agent Collaboration

Reference 18

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arxiv_id, observed 2026-05-21T21:05:26.036961Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-21T20:40:13.721163Z digest=sha256:05121ed962ad2756b1fe11e45c4f4216ccd1048dac574d60d4bb80014493123a

Observation 7944706f-8951-43fb-a2f2-ee4a1244aa40 · inbound

Evolution in Simulation: AI-Agent School with Dual Memory for High-Fidelity Educational Dynamics cites this paper.

Evolution in Simulation: AI-Agent School with Dual Memory for High-Fidelity Educational Dynamics A Dynamic LLM-Powered Agent Network for Task-Oriented Agent Collaboration

Reference 29

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no resolver link, observed 2026-08-04T10:12:23.926326Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T10:12:23.926326Z digest=sha256:9f853ad4d75073a94544776c41faeab052446f0875dd52acb740c191a727d1a4

Observation 5cb13e26-3a9f-4df0-a662-aa352b10be25 · inbound

Cost and Accuracy of Long-Term Memory in Distributed Multi-Agent Systems Based on Large Language Models cites this paper.

Cost and Accuracy of Long-Term Memory in Distributed Multi-Agent Systems Based on Large Language Models A Dynamic LLM-Powered Agent Network for Task-Oriented Agent Collaboration

Reference 44

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no resolver link, observed 2026-08-03T11:01:43.590182Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T11:01:43.590182Z digest=sha256:7691f7228e6ba473b436a0a99e635b6abd7bd9ceffe78256405a4e2e59a4e244

Observation 46c34a5c-abf5-46fc-bc66-162f9d0d5584 · inbound

Exploring Silicon-Based Societies: An Early Study of the Moltbook Agent Community cites this paper.

Exploring Silicon-Based Societies: An Early Study of the Moltbook Agent Community A Dynamic LLM-Powered Agent Network for Task-Oriented Agent Collaboration

Reference 16

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no resolver link, observed 2026-08-04T06:14:15.558835Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T06:14:15.558835Z digest=sha256:55fdd834b826be41cee94ab1069de36bf7963121d53af1e3f3856d4ac0bef891

Observation bde3776b-a9da-4b2f-9455-fd797b793fc0 · inbound

SGAgent: Suggestion-Guided LLM-Based Multi-Agent Framework for Repository-Level Software Repair cites this paper.

SGAgent: Suggestion-Guided LLM-Based Multi-Agent Framework for Repository-Level Software Repair A Dynamic LLM-Powered Agent Network for Task-Oriented Agent Collaboration

Reference 28

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no resolver link, observed 2026-08-02T20:17:26.888470Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T20:17:26.888470Z digest=sha256:406ebe240dfbce4ae95a0b27b8128b6d97ea5c883381984983963b6d4d9a81af

Observation c5b483c1-a02f-4569-92de-8c07569eb49a · inbound

MASPOB: Bandit-Based Prompt Optimization for Multi-Agent Systems with Graph Neural Networks cites this paper.

MASPOB: Bandit-Based Prompt Optimization for Multi-Agent Systems with Graph Neural Networks A Dynamic LLM-Powered Agent Network for Task-Oriented Agent Collaboration

Reference 26

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no resolver link, observed 2026-08-02T19:22:25.385951Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T19:22:25.385951Z digest=sha256:d3259d5e9fd90653c917d219f6011bbb4a8dcba1fb294d325253dc3ede5a0a62

Observation 31789a07-4a3e-437e-bd2f-9450d1657f6c · inbound

Effective Strategies for Asynchronous Software Engineering Agents cites this paper.

Effective Strategies for Asynchronous Software Engineering Agents A Dynamic LLM-Powered Agent Network for Task-Oriented Agent Collaboration

Reference 16

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unresolved
no resolver link, observed 2026-07-13T20:49:09.477849Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T20:49:09.477849Z digest=sha256:24740a9b142a6d6c8351eca05846b672f0cc1bf94b046fc30112660af213b587

Observation 28988944-fc44-4cbd-8268-42773e302016 · inbound

Do Agent Societies Develop Intellectual Elites? The Hidden Power Laws of Collective Cognition in LLM Multi-Agent Systems cites this paper.

Do Agent Societies Develop Intellectual Elites? The Hidden Power Laws of Collective Cognition in LLM Multi-Agent Systems A Dynamic LLM-Powered Agent Network for Task-Oriented Agent Collaboration

Reference 36

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verified exact
arxiv_id, observed 2026-05-21T21:05:26.036961Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-13T19:11:52.387623Z digest=sha256:cf5a4ccb1938a3e9942a5b74a4a29d0500eb097e9e1b44e693ffced013f67e0c

Observation 14fc211c-9546-4a3e-8bc2-6f6a05fadbad · inbound

Improving Role Consistency in Multi-Agent Collaboration via Quantitative Role Clarity cites this paper.

Improving Role Consistency in Multi-Agent Collaboration via Quantitative Role Clarity A Dynamic LLM-Powered Agent Network for Task-Oriented Agent Collaboration

Reference 12

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metadata mismatch
arxiv_id, observed 2026-05-21T21:05:26.036961Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-13T20:12:35.823189Z digest=sha256:137ea5c21a518629a02232de4d5ee844f5c5d05671cfb56b77e9d282aa7a0fbe

Observation 713f3778-933d-4ab6-9052-6414b272f106 · inbound

Representational Collapse in Multi-Agent LLM Committees: Measurement and Diversity-Aware Consensus cites this paper.

Representational Collapse in Multi-Agent LLM Committees: Measurement and Diversity-Aware Consensus A Dynamic LLM-Powered Agent Network for Task-Oriented Agent Collaboration

Reference 10

Resolution
verified exact
arxiv_id, observed 2026-05-21T21:05:26.036961Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-05-13T17:59:52.185345Z digest=sha256:968d9d25cf6992778cf9aa94b1f45069c5f865bebc60286cc2e4af8bac6d6002

Observation a1133bdd-9eef-4cc6-a6da-81c1380bf188 · inbound

Mem$^2$Evolve: Towards Self-Evolving Agents via Co-Evolutionary Capability Expansion and Experience Distillation cites this paper.

Mem$^2$Evolve: Towards Self-Evolving Agents via Co-Evolutionary Capability Expansion and Experience Distillation A Dynamic LLM-Powered Agent Network for Task-Oriented Agent Collaboration

Reference 1

Resolution
malformed identifier
arxiv_id, observed 2026-05-21T21:05:26.036961Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-10T16:45:30.260106Z digest=sha256:8a6acba083d46701f6ddd508073416f13ccb44c6f7e9f859cbcb07c89e4af411

Observation 8bc91632-29d0-42d2-9294-a4f734087ac1 · inbound

SkillGraph: Self-Evolving Multi-Agent Collaboration with Multimodal Graph Topology cites this paper.

SkillGraph: Self-Evolving Multi-Agent Collaboration with Multimodal Graph Topology A Dynamic LLM-Powered Agent Network for Task-Oriented Agent Collaboration

Reference 29

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metadata mismatch
arxiv_id, observed 2026-05-21T21:05:26.036961Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-10T05:23:34.996713Z digest=sha256:c6f45e5affc7be2c42154deb6344e492186003f92cba74ef9c3317815832401d

Observation eacc8367-6653-4fa3-a2b0-b24edbbb3f4a · inbound

From Skills to Talent: Organising Heterogeneous Agents as a Real-World Company cites this paper.

From Skills to Talent: Organising Heterogeneous Agents as a Real-World Company A Dynamic LLM-Powered Agent Network for Task-Oriented Agent Collaboration

Reference 33

Resolution
verified exact
arxiv_id, observed 2026-05-21T21:05:26.036961Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-08T12:05:38.965920Z digest=sha256:d5fb42197b5d473302711db2108c6edde4afd653df83344b0748e36f05ab5195

Observation 1a20b261-bf98-47a7-9cf7-b43cb28270b6 · inbound

QuantClaw: Precision Where It Matters for OpenClaw cites this paper.

QuantClaw: Precision Where It Matters for OpenClaw A Dynamic LLM-Powered Agent Network for Task-Oriented Agent Collaboration

Reference 10

Resolution
verified exact
arxiv_id, observed 2026-05-21T21:05:26.036961Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-08T11:51:07.657988Z digest=sha256:24f437c3950eede8771e535008fc84782266d587ac98e6697d78db8609167a09

Observation d517a5aa-3d70-4153-8248-85917e9ccd1a · inbound

RoadMapper: A Multi-Agent System for Roadmap Generation of Solving Complex Research Problems cites this paper.

RoadMapper: A Multi-Agent System for Roadmap Generation of Solving Complex Research Problems A Dynamic LLM-Powered Agent Network for Task-Oriented Agent Collaboration

Reference 3

Resolution
metadata mismatch
arxiv_id, observed 2026-05-21T21:05:26.036961Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-07T05:36:47.584955Z digest=sha256:21de5342613e5d45b4d65036d403b2919c61dd8537c82426dfb6dfde0854253a

Observation b9e963ae-6123-48b6-837a-767f332d8ad5 · inbound

Lost in the Tower of Babel: The Adverse Effects of Incidental Multilingualism in LLMs cites this paper.

Lost in the Tower of Babel: The Adverse Effects of Incidental Multilingualism in LLMs A Dynamic LLM-Powered Agent Network for Task-Oriented Agent Collaboration

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-02T15:05:50.764143Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T15:05:50.764143Z digest=sha256:74715d6495cf1dd73a43b6b4a3f370b466ab95dab6b6b0193cc2f8b048c2f442

Observation e94b8282-5415-4dbd-b925-6cc09b7cf2a3 · inbound

Human-LLM Dialogue Improves Diagnostic Accuracy in Emergency Care cites this paper.

Human-LLM Dialogue Improves Diagnostic Accuracy in Emergency Care A Dynamic LLM-Powered Agent Network for Task-Oriented Agent Collaboration

Reference 26

Resolution
verified exact
arxiv_id, observed 2026-05-21T21:05:26.036961Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-12T00:54:19.124352Z digest=sha256:36f856d2278d404fde2f5736dcc0aea233fd841c12470065b0c16cb6976ae2d7

Observation a557dc1b-4795-4431-917e-58f675b46a56 · inbound

EquiMem: Calibrating Shared Memory in Multi-Agent Debate via Game-Theoretic Equilibrium cites this paper.

EquiMem: Calibrating Shared Memory in Multi-Agent Debate via Game-Theoretic Equilibrium A Dynamic LLM-Powered Agent Network for Task-Oriented Agent Collaboration

Reference 37

Resolution
verified exact
arxiv_id, observed 2026-05-21T21:05:26.036961Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-12T04:47:29.903343Z digest=sha256:0882efcf697ca427145a0a9206c3bcb39947a080b5f83988956d391621f17e58

Observation 1d4d9c41-058a-44d1-b4f4-899bf1cb1f6b · inbound

Reinforced Collaboration in Multi-Agent Flow Networks cites this paper.

Reinforced Collaboration in Multi-Agent Flow Networks A Dynamic LLM-Powered Agent Network for Task-Oriented Agent Collaboration

Reference 22

Resolution
verified exact
arxiv_id, observed 2026-05-21T21:05:26.036961Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-14T20:42:48.438057Z digest=sha256:d93700b888f4be8487e976bd82acb18a29d1a8cd6b1a353c4642e2bdb3aa8ae4

Observation 639e9e61-3f3f-44f6-bf7d-bb2ff3a8e537 · inbound

Differentiable Mixture-of-Agents Incentivizes Swarm Intelligence of Large Language Models cites this paper.

Differentiable Mixture-of-Agents Incentivizes Swarm Intelligence of Large Language Models A Dynamic LLM-Powered Agent Network for Task-Oriented Agent Collaboration

Reference 89

Resolution
verified exact
arxiv_id, observed 2026-05-21T21:05:26.036961Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-05-20T19:53:04.689519Z digest=sha256:1ace2b8a84504724abcea0bd6e4d4bdac0cc8105b5996a625d5537f3a3c093df

Observation 7211c75f-2d29-4d1b-9623-502feb27e9dc · inbound

Differentiable Mixture-of-Agents Incentivizes Swarm Intelligence of Large Language Models cites this paper.

Differentiable Mixture-of-Agents Incentivizes Swarm Intelligence of Large Language Models A Dynamic LLM-Powered Agent Network for Task-Oriented Agent Collaboration

Reference 21

Resolution
verified exact
local_arxiv, observed 2026-06-30T19:45:00.816843Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-06-30T19:40:41.219923Z digest=sha256:5e67479ef660c35d47cfa0a5c182d433365a5ce44d600d295525683c7a383716

Observation c428687f-21bc-4467-90e1-d9acee989b3b · inbound

Learning Transferable Topology Priors for Multi-Agent LLM Collaboration Across Domains cites this paper.

Learning Transferable Topology Priors for Multi-Agent LLM Collaboration Across Domains A Dynamic LLM-Powered Agent Network for Task-Oriented Agent Collaboration

Reference 15

Resolution
verified exact
arxiv_id, observed 2026-05-21T21:05:26.036961Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-20T13:38:07.140289Z digest=sha256:cc212ce535b8b9cbf74ca48d19ea254163a508454099af8cbe692e0aa8f2e166

Observation 27a50b39-a418-4fdf-b610-49f1f08e60b1 · inbound

Conflict-Resilient Multi-Agent Reasoning via Signed Graph Modeling cites this paper.

Conflict-Resilient Multi-Agent Reasoning via Signed Graph Modeling A Dynamic LLM-Powered Agent Network for Task-Oriented Agent Collaboration

Reference 54

Resolution
verified exact
arxiv_id, observed 2026-05-21T21:05:26.036961Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-20T05:47:27.833457Z digest=sha256:eb8122cf970a9a16f06346af02ce4027b5f91406a64fb2f95956a7ba1380b77d

Observation d48b6abf-4276-4b7d-999e-b27e81abbf01 · inbound

AgentCo-op: Retrieval-Based Synthesis of Interoperable Multi-Agent Workflows cites this paper.

AgentCo-op: Retrieval-Based Synthesis of Interoperable Multi-Agent Workflows A Dynamic LLM-Powered Agent Network for Task-Oriented Agent Collaboration

Reference 16

Resolution
verified exact
arxiv_id, observed 2026-05-21T21:05:26.036961Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-21T07:05:28.416552Z digest=sha256:595328fd7d17bba1a1fa05c537dc569a3471dd717abc4b7d53b65fa807648866

Observation 49042024-39a4-42f4-808e-95f9eea2f667 · inbound

Self-Evolving Multi-Agent Systems via Decentralized Memory cites this paper.

Self-Evolving Multi-Agent Systems via Decentralized Memory A Dynamic LLM-Powered Agent Network for Task-Oriented Agent Collaboration

Reference 16

Resolution
verified exact
local_arxiv, observed 2026-05-22T03:20:59.104972Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-22T03:20:14.212201Z digest=sha256:fc325c3f145b3a4f1e41de1226e9ef15d4a3096888396a0b3bcc4d76a7fc94ec

Observation f2ffd405-e136-4f30-a88c-9bba7fc416af · inbound

StepFinder: A Temporal Semantic Framework for Failure Attribution in Multi-Agent Systems cites this paper.

StepFinder: A Temporal Semantic Framework for Failure Attribution in Multi-Agent Systems A Dynamic LLM-Powered Agent Network for Task-Oriented Agent Collaboration

Reference 24

Resolution
verified exact
local_arxiv, observed 2026-07-02T03:16:33.970153Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-06-28T10:12:35.956616Z digest=sha256:33a274bd6eeb066c7a47551e315ecaba3ed04e9455994ea22dc8f28a6341d804

Observation 17302f7c-20f3-4d03-bd83-f0d0bf40a10c · inbound

The Illusion of Multi-Agent Advantage cites this paper.

The Illusion of Multi-Agent Advantage A Dynamic LLM-Powered Agent Network for Task-Oriented Agent Collaboration

Reference 23

Resolution
verified exact
local_arxiv, observed 2026-07-03T14:58:33.606143Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-06-27T06:45:08.810356Z digest=sha256:eb201d5f464d6e1bc0c0a41a68dc1f070214a8bb653eaf64fe8ab936b5db72a8

Observation ca1003f5-d6d0-44ed-af1d-7574dc5c64dc · inbound

OPD-Evolver: Cultivating Holistic Agent Evolver via On-Policy Distillation cites this paper.

OPD-Evolver: Cultivating Holistic Agent Evolver via On-Policy Distillation A Dynamic LLM-Powered Agent Network for Task-Oriented Agent Collaboration

Reference 23

Resolution
metadata mismatch
local_arxiv, observed 2026-07-03T20:48:56.431439Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-06-27T01:07:49.603969Z digest=sha256:c63f464a2bbe3bd1e3644d8fae8ea4834c08b52ac6998e3f69db627e9e72f493

Observation 0c9a3eb7-f7a3-44f5-a438-69c2ae9e2c89 · inbound

Preventing Error Propagation in Multi-Agent AI through Runtime Monitoring cites this paper.

Preventing Error Propagation in Multi-Agent AI through Runtime Monitoring A Dynamic LLM-Powered Agent Network for Task-Oriented Agent Collaboration

Reference 24

Resolution
verified exact
local_arxiv, observed 2026-06-30T09:24:32.309078Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-06-30T09:22:20.503854Z digest=sha256:c1b6534e07a1029d698409c3992e0eea83c8606cb39093f71e9bf71ddd288a09

Observation 4f1db8f0-9631-42e0-9ace-d0a5fa10bb97 · inbound

MESA: Prioritizing Vulnerable Communication Channels for Securing Multi-Agent Systems cites this paper.

MESA: Prioritizing Vulnerable Communication Channels for Securing Multi-Agent Systems A Dynamic LLM-Powered Agent Network for Task-Oriented Agent Collaboration

Reference 30

Resolution
verified exact
local_arxiv, observed 2026-06-30T16:14:53.939696Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-06-30T04:48:51.748711Z digest=sha256:d6c656743c9ee06687d44ce406ea0f87e1def676d6236e0b9c3d6bcadb5c1fd0

Observation 8e07b71a-df94-421d-b6fd-6d09c5933b55 · inbound

The Path to Self-Evolving Clinical Systems: Scaling Medical Agents from Assistance to Autonomy cites this paper.

The Path to Self-Evolving Clinical Systems: Scaling Medical Agents from Assistance to Autonomy A Dynamic LLM-Powered Agent Network for Task-Oriented Agent Collaboration

Reference 156

Resolution
unresolved
no resolver link, observed 2026-07-14T06:30:16.612345Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T06:30:16.612345Z digest=sha256:94e0a8f541529c2c06c7c9400d3302dcf4a160526a286304716cb3d015b07325

Observation a51bb4e5-c7b2-4a5f-96ac-b7a03215b50a · inbound

WaterMoE: Expert-Routing-based Watermarking for High Fidelity and Efficiency cites this paper.

WaterMoE: Expert-Routing-based Watermarking for High Fidelity and Efficiency A Dynamic LLM-Powered Agent Network for Task-Oriented Agent Collaboration

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-02T06:36:29.744609Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T06:36:29.744609Z digest=sha256:eecbd8dfa90315837976afebce5e240b39b4d8746d0f2a3b4bf2ebc614b329cc

Observation 5f86bc54-f52f-4e7e-96c5-39c3e62e82df · inbound

Small, Free, and Effective: Orchestrating Open-Weight Small Language Models to Outperform Single LLM for Malware Analysis cites this paper.

Small, Free, and Effective: Orchestrating Open-Weight Small Language Models to Outperform Single LLM for Malware Analysis A Dynamic LLM-Powered Agent Network for Task-Oriented Agent Collaboration

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-01T10:30:43.849181Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T10:30:43.849181Z digest=sha256:7f671500c040c80f283d97d14587ac7391fba3f523ae4403803eb32f11b272f3

Observation 5c0d349e-e642-441c-bf29-92e46d2fbcb4 · inbound

Agentic Re-Casting using Agentic Re-Simulations cites this paper.

Agentic Re-Casting using Agentic Re-Simulations A Dynamic LLM-Powered Agent Network for Task-Oriented Agent Collaboration

Reference 77

Resolution
unresolved
no resolver link, observed 2026-08-01T04:29:04.074920Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T04:29:04.074920Z digest=sha256:06211abc0d1a900aa63c0c7d71eb4e0abd079f93d1abb46b15be71b7f0f04cf6

Observation d225d4c4-314e-4207-a6cf-e764f6337ada · inbound

Gleam: Adaptive Network-Efficient CUDA API Remoting for Cross-Device GPU Sharing over LANs cites this paper.

Gleam: Adaptive Network-Efficient CUDA API Remoting for Cross-Device GPU Sharing over LANs A Dynamic LLM-Powered Agent Network for Task-Oriented Agent Collaboration

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-01T03:40:11.216782Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T03:40:11.216782Z digest=sha256:1c7e5fa922fa7c913b07ffa4b931d0be9ffbfc81d2d82bde1727ca6ccd88c974

Observation 5c70b35d-b693-4ee8-a5b9-45491b6a3831 · inbound

From Cognitive Architectures to Language Agents: A Mechanism-Level Review of Lineage, Convergence, and Migration Gaps cites this paper.

From Cognitive Architectures to Language Agents: A Mechanism-Level Review of Lineage, Convergence, and Migration Gaps A Dynamic LLM-Powered Agent Network for Task-Oriented Agent Collaboration

Reference 45

Resolution
unresolved
no resolver link, observed 2026-07-31T23:30:37.736791Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T23:30:37.736791Z digest=sha256:161b1817e3468bc43a0bc1fd8fbfae02f2130db5f9cd6e46f89ff7e589202c89

Observation d639bf82-e225-4371-897b-fa9450e69424 · inbound

Before Agents Speak: Pre-hoc Failure Risk Inference in Multi-Agent Systems cites this paper.

Before Agents Speak: Pre-hoc Failure Risk Inference in Multi-Agent Systems A Dynamic LLM-Powered Agent Network for Task-Oriented Agent Collaboration

Reference 42

Resolution
unresolved
no resolver link, observed 2026-07-30T19:40:10.113456Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-30T19:40:10.113456Z digest=sha256:c9f685a785e4a2cf08d42677077903ac416151a23939331a900a2f2a0e87c5d5

Observation 19c7433b-ade3-4d60-bd0c-04733ae1c6f8 · inbound

Chain-of-Models: Cross-Model Auditing for Bias-Robust LLM Judges cites this paper.

Chain-of-Models: Cross-Model Auditing for Bias-Robust LLM Judges A Dynamic LLM-Powered Agent Network for Task-Oriented Agent Collaboration

Reference 293

Resolution
unresolved
no resolver link, observed 2026-08-03T00:55:43.190608Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T00:55:43.190608Z digest=sha256:5327bd350b88a5f7417cae6b39c2066a6d66541020742a2329194c81cd969990

Observation 3ca042bf-0a89-4c78-86cf-3a76a0c91882 · inbound

Global Optimization and Inference-Time Region Grafting for Agentic Workflows cites this paper.

Global Optimization and Inference-Time Region Grafting for Agentic Workflows A Dynamic LLM-Powered Agent Network for Task-Oriented Agent Collaboration

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-04T08:52:22.942819Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T08:52:22.942819Z digest=sha256:fda5dd6b00c83ccc1e4b7c0496ab67bbc5c4da029925ed2de966f811dd26a644

Observation 8601a29b-2867-4856-9808-e0d51f1de761 · inbound

Self-Evolving Coding Agents cites this paper.

Self-Evolving Coding Agents A Dynamic LLM-Powered Agent Network for Task-Oriented Agent Collaboration

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-05T19:47:58.987785Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T19:47:58.987785Z digest=sha256:9cf1b4ec47819e8edc028d06cb17d36e9a85f24bfa6f027dc3222494f8a5b5df

Observation a55bd3d2-f34c-4203-b0fb-bf7f322927b4 · inbound

A MARL Centered Reference Architecture for Large Language Model Augmentation in Smart Manufacturing cites this paper.

A MARL Centered Reference Architecture for Large Language Model Augmentation in Smart Manufacturing A Dynamic LLM-Powered Agent Network for Task-Oriented Agent Collaboration

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-10T14:00:57.488337Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T14:00:57.488337Z digest=sha256:8d4094bb9e223d4c4bcad3e558c6fa1f437734a8978bd41cfab97e8b93d1f15c

Observation 12a2d92d-6d19-41e9-b869-7d1b3881f531 · inbound

Discovering Efficient and Explainable Communication Topologies for LLM-based Multi-Agent Systems via Causal Inference cites this paper.

Discovering Efficient and Explainable Communication Topologies for LLM-based Multi-Agent Systems via Causal Inference A Dynamic LLM-Powered Agent Network for Task-Oriented Agent Collaboration

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-15T20:38:35.350315Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T20:38:35.350315Z digest=sha256:cfa0ed274eaf26dc239917fc3291eebebfeb8e6dfc052d95275c00d86462aabd