Paper Citation Record · LEDGER

Adaptive Graph Pruning for Multi-Agent Communication

As of 8 August 2026, this Paper Citation Record lists 48 of 48 outbound references and 9 inbound Pith citation observations for arXiv:2506.02951.

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

pith.paper-citation-record.v1
2506.02951 v3

Coverage vector

measured 48 of 48 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:18:47.167943Z

measured 57 of 57 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:18:44.092100Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-29T16:53:40.450246Z

Reference resolution

48 of 48 outbound references displayed

verified exact2
verified fuzzy5
unresolved41
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b910c5b0-c24d-456f-b73b-857eda7290eb · outbound

This paper cites Besta, N.

Adaptive Graph Pruning for Multi-Agent Communication Besta, N

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:18:51.951081Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation bb03c2cf-55e8-46ef-9339-dc5fda5a0b49 · outbound

This paper cites an unresolved cited work.

Adaptive Graph Pruning for Multi-Agent Communication Unresolved cited work

Reference 2

Resolution: unresolved; raw_fallback, observed 2026-08-07T11:18:51.692648Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation fd5e7ea6-9862-429a-9ca7-593eac9d8350 · outbound

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

Adaptive Graph Pruning for Multi-Agent Communication AutoAgents: A Framework for Automatic Agent Generation

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-07T11:18:41.831841Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 69c753b1-c500-4ef7-af71-757cf2840bd9 · outbound

This paper cites Are More LLM Calls All You Need? Towards Scaling Laws of Compound Inference Systems.

Adaptive Graph Pruning for Multi-Agent Communication Are More LLM Calls All You Need? Towards Scaling Laws of Compound Inference Systems

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-07T11:18:41.961925Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8374d701-288a-468a-aab0-89b632dfe15b · outbound

This paper cites an unresolved cited work.

Adaptive Graph Pruning for Multi-Agent Communication Unresolved cited work

Reference 5

Resolution: unresolved; raw_fallback, observed 2026-08-07T11:18:51.463156Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 0f979198-a4b0-4301-8a0b-208d47a6eea0 · outbound

This paper cites an unresolved cited work.

Adaptive Graph Pruning for Multi-Agent Communication Unresolved cited work

Reference 6

Resolution: unresolved; raw_fallback, observed 2026-08-07T11:18:51.193761Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 306fc23c-d317-4f01-9c9f-223a1fd69ae2 · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

Adaptive Graph Pruning for Multi-Agent Communication Training Verifiers to Solve Math Word Problems

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-07T11:18:42.242385Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b59d94cf-cc0a-4499-8389-11e029cd64ce · outbound

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

Adaptive Graph Pruning for Multi-Agent Communication Improving Factuality and Reasoning in Language Models through Multiagent Debate

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-07T11:18:42.328390Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cd00f561-4d8e-457f-9215-853c40887cc0 · outbound

This paper cites Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution.

Adaptive Graph Pruning for Multi-Agent Communication Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-07T11:18:42.454284Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 78537f89-b0c2-4138-880a-28ec7b74c718 · outbound

This paper cites an unresolved cited work.

Adaptive Graph Pruning for Multi-Agent Communication Unresolved cited work

Reference 10

Resolution: unresolved; raw_fallback, observed 2026-08-07T11:18:50.934827Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 74857af2-446f-45f3-9db3-0459f5f9d124 · outbound

This paper cites EvoPrompt: Connecting LLMs with Evolutionary Algorithms Yields Powerful Prompt Optimizers.

Adaptive Graph Pruning for Multi-Agent Communication EvoPrompt: Connecting LLMs with Evolutionary Algorithms Yields Powerful Prompt Optimizers

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-07T11:18:42.691961Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fe0dd39a-2e43-4388-beea-ca721633d85d · outbound

This paper cites an unresolved cited work.

Adaptive Graph Pruning for Multi-Agent Communication Unresolved cited work

Reference 12

Resolution: unresolved; raw_fallback, observed 2026-08-07T11:18:50.588137Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 2f220f76-21eb-4f6a-96aa-609b813e3556 · outbound

This paper cites Hendrycks, C.

Adaptive Graph Pruning for Multi-Agent Communication Hendrycks, C

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:18:50.294470Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation d4721ca8-983d-41e9-83f5-09a62f86970d · outbound

This paper cites an unresolved cited work.

Adaptive Graph Pruning for Multi-Agent Communication Unresolved cited work

Reference 14

Resolution: unresolved; raw_fallback, observed 2026-08-07T11:18:49.946286Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 8c7d2e6c-f451-486f-bde7-ce85ad893467 · outbound

This paper cites an unresolved cited work.

Adaptive Graph Pruning for Multi-Agent Communication Unresolved cited work

Reference 15

Resolution: unresolved; raw_fallback, observed 2026-08-07T11:18:49.693114Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation cb7e038c-4d99-4bb2-8c0e-da217acc0a9d · outbound

This paper cites Automated Design of Agentic Systems.

Adaptive Graph Pruning for Multi-Agent Communication Automated Design of Agentic Systems

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-07T11:18:43.304670Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 70abaccb-c082-45ea-ae31-19ff9d009933 · outbound

This paper cites Learning Multi-Agent Communication from Graph Modeling Perspective.

Adaptive Graph Pruning for Multi-Agent Communication Learning Multi-Agent Communication from Graph Modeling Perspective

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-07T11:18:43.452061Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cd72863c-981f-48de-8f3f-a5690c06ab95 · outbound

This paper cites Self-Evolving Multi-Agent Collaboration Networks for Software Development.

Adaptive Graph Pruning for Multi-Agent Communication Self-Evolving Multi-Agent Collaboration Networks for Software Development

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-07T11:18:43.572297Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a34de830-fbe5-49ec-afda-4db6ebec76db · outbound

This paper cites Self-Organized Agents: A LLM Multi-Agent Framework toward Ultra Large-Scale Code Generation and Optimization.

Adaptive Graph Pruning for Multi-Agent Communication Self-Organized Agents: A LLM Multi-Agent Framework toward Ultra Large-Scale Code Generation and Optimization

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-07T11:18:43.770907Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 44cf69bb-105e-4c31-b619-7a31182896f0 · outbound

This paper cites Jiang, X.

Adaptive Graph Pruning for Multi-Agent Communication Jiang, X

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:18:49.503751Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation c9a49cda-2e96-45a5-a8a3-666af904a5f4 · outbound

This paper cites DSPy: Compiling Declarative Language Model Calls into Self-Improving Pipelines.

Adaptive Graph Pruning for Multi-Agent Communication DSPy: Compiling Declarative Language Model Calls into Self-Improving Pipelines

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-07T11:18:43.992573Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation de4a6875-e07e-4568-bf0a-176b9b285b0e · outbound

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

Adaptive Graph Pruning for Multi-Agent Communication Adaptive Graph Pruning for Multi-Agent Communication

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-07T11:18:44.092100Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b4dea7c3-2c84-484e-9495-a5316eb8bbd1 · outbound

This paper cites Program Induction by Rationale Generation : Learning to Solve and Explain Algebraic Word Problems.

Adaptive Graph Pruning for Multi-Agent Communication Program Induction by Rationale Generation : Learning to Solve and Explain Algebraic Word Problems

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-07T11:18:44.207275Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

This paper cites A Dynamic LLM-Powered Agent Network for Task-Oriented Agent Collaboration.

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

Reference 24

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0214f49e-f20f-4945-80c2-202344f26fe1 · outbound

This paper cites Are NLP Models really able to Solve Simple Math Word Problems?.

Adaptive Graph Pruning for Multi-Agent Communication Are NLP Models really able to Solve Simple Math Word Problems?

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-07T11:18:44.448300Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d0e7f5d8-aa47-40f6-8af2-3be45af61185 · outbound

This paper cites Pesce and G.

Adaptive Graph Pruning for Multi-Agent Communication Pesce and G

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:18:49.294700Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 94fa6a01-c446-4867-ac8d-fca4eae062db · outbound

This paper cites an unresolved cited work.

Adaptive Graph Pruning for Multi-Agent Communication Unresolved cited work

Reference 27

Resolution: unresolved; raw_fallback, observed 2026-08-07T11:18:49.083165Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 46d18bc3-19de-430f-8fe0-6b452a4a6a73 · outbound

This paper cites Scaling Large Language Model-based Multi-Agent Collaboration.

Adaptive Graph Pruning for Multi-Agent Communication Scaling Large Language Model-based Multi-Agent Collaboration

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-07T11:18:44.814064Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 57255405-a7e0-4657-a60f-333491071254 · outbound

This paper cites Solving General Arithmetic Word Problems.

Adaptive Graph Pruning for Multi-Agent Communication Solving General Arithmetic Word Problems

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-07T11:18:44.940664Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d0b0fc20-4df0-4637-bf25-66e469b44c6b · outbound

This paper cites AgentSquare: Automatic LLM Agent Search in Modular Design Space.

Adaptive Graph Pruning for Multi-Agent Communication AgentSquare: Automatic LLM Agent Search in Modular Design Space

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-07T11:18:45.056024Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f1cd3a05-4eba-40c7-9e9f-d36ab10c8c49 · outbound

This paper cites Reflexion: Language Agents with Verbal Reinforcement Learning.

Adaptive Graph Pruning for Multi-Agent Communication Reflexion: Language Agents with Verbal Reinforcement Learning

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-07T11:18:45.175031Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 22c2abe9-8bef-48bb-86ba-785636b9b620 · outbound

This paper cites Voyager: An Open-Ended Embodied Agent with Large Language Models.

Adaptive Graph Pruning for Multi-Agent Communication Voyager: An Open-Ended Embodied Agent with Large Language Models

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-07T11:18:45.265366Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3227e5ce-6ea1-408a-b4b8-d727f169efe0 · outbound

This paper cites an unresolved cited work.

Adaptive Graph Pruning for Multi-Agent Communication Unresolved cited work

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-07T11:18:45.385655Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e40db222-8ec6-4cf9-8f5b-dfbb4bc55ff2 · outbound

This paper cites an unresolved cited work.

Adaptive Graph Pruning for Multi-Agent Communication Unresolved cited work

Reference 34

Resolution: unresolved; raw_fallback, observed 2026-08-07T11:18:48.779426Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 8d51f70e-75fc-4882-b43e-9839eaf3e8be · outbound

This paper cites an unresolved cited work.

Adaptive Graph Pruning for Multi-Agent Communication Unresolved cited work

Reference 35

Resolution: unresolved; raw_fallback, observed 2026-08-07T11:18:48.507409Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation eb7000f5-a9fb-472a-8c52-7ecf6bcc0886 · outbound

This paper cites an unresolved cited work.

Adaptive Graph Pruning for Multi-Agent Communication Unresolved cited work

Reference 36

Resolution: unresolved; raw_fallback, observed 2026-08-07T11:18:48.276202Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 6f58b387-8234-4874-99d8-9f0d56a139a1 · outbound

This paper cites EvoAgent: Towards Automatic Multi-Agent Generation via Evolutionary Algorithms.

Adaptive Graph Pruning for Multi-Agent Communication EvoAgent: Towards Automatic Multi-Agent Generation via Evolutionary Algorithms

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-07T11:18:45.889608Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d1a0072a-f301-47d9-8a5c-7e868a7e5a8c · outbound

This paper cites Cut the Crap: An Economical Communication Pipeline for LLM-based Multi-Agent Systems.

Adaptive Graph Pruning for Multi-Agent Communication Cut the Crap: An Economical Communication Pipeline for LLM-based Multi-Agent Systems

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-07T11:18:45.986822Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cec72ef1-53a1-4642-bbf9-4f79bc6d90af · outbound

This paper cites G-Designer: Architecting Multi-agent Communication Topologies via Graph Neural Networks.

Adaptive Graph Pruning for Multi-Agent Communication G-Designer: Architecting Multi-agent Communication Topologies via Graph Neural Networks

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-07T11:18:46.099826Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f5d90bcd-d383-4fd0-91eb-d7235b062fbb · outbound

This paper cites Multi-agent Architecture Search via Agentic Supernet.

Adaptive Graph Pruning for Multi-Agent Communication Multi-agent Architecture Search via Agentic Supernet

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-07T11:18:46.237941Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation afcf7821-5f0e-457c-8df1-38c28bcd8f94 · outbound

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

Adaptive Graph Pruning for Multi-Agent Communication Exploring Collaboration Mechanisms for LLM Agents: A Social Psychology View

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-07T11:18:46.316475Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a72c9508-8c14-48f2-b680-91f1e825da70 · outbound

This paper cites AFlow: Automating Agentic Workflow Generation.

Adaptive Graph Pruning for Multi-Agent Communication AFlow: Automating Agentic Workflow Generation

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-07T11:18:46.411855Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 77e60fa6-8c68-487c-8bd4-268cfe4ccbf3 · outbound

This paper cites See and Think: Embodied Agent in Virtual Environment.

Adaptive Graph Pruning for Multi-Agent Communication See and Think: Embodied Agent in Virtual Environment

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-07T11:18:46.557963Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4cf03887-3e5d-4cbf-97e8-3b1abcf7464b · outbound

This paper cites Hierarchical Auto-Organizing System for Open-Ended Multi-Agent Navigation.

Adaptive Graph Pruning for Multi-Agent Communication Hierarchical Auto-Organizing System for Open-Ended Multi-Agent Navigation

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-07T11:18:46.670093Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d0199a30-23c2-46a6-9a01-5fac88f204dc · outbound

This paper cites Do We Really Need a Complex Agent System? Distill Embodied Agent into a Single Model.

Adaptive Graph Pruning for Multi-Agent Communication Do We Really Need a Complex Agent System? Distill Embodied Agent into a Single Model

Reference 45

Resolution: verified exact; local_arxiv, observed 2026-08-07T11:18:47.742570Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 0e418fa5-aaa0-4581-ab72-097aa2a8f0c1 · outbound

This paper cites RIG: Synergizing Reasoning and Imagination in End-to-End Generalist Policy.

Adaptive Graph Pruning for Multi-Agent Communication RIG: Synergizing Reasoning and Imagination in End-to-End Generalist Policy

Reference 46

Resolution: verified exact; local_arxiv, observed 2026-08-07T11:18:47.471736Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 8d5c5761-013b-439b-8053-a89b1157fb5b · outbound

This paper cites Large Language Model as a Policy Teacher for Training Reinforcement Learning Agents.

Adaptive Graph Pruning for Multi-Agent Communication Large Language Model as a Policy Teacher for Training Reinforcement Learning Agents

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-07T11:18:46.991142Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 65225da3-726f-4913-b06e-a5bba3a8673f · outbound

This paper cites Dialogue History.

Adaptive Graph Pruning for Multi-Agent Communication Dialogue History

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:18:48.084252Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Pith citing papers

Observation de4a6875-e07e-4568-bf0a-176b9b285b0e · inbound