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Paper Citation Record · LEDGER

Balancing Information Accuracy and Response Timeliness in Networked LLMs

As of 14 August 2026, this Paper Citation Record lists 38 of 38 outbound references and 0 inbound Pith citation observations for arXiv:2508.02209.

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

pith.paper-citation-record.v1
2508.02209 v1

Coverage vector

measured 38 of 38 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T05:12:32.559295Z

measured 38 of 38 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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Source: cited_works

Reference resolution

38 of 38 outbound references displayed

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  • verified fuzzy16
  • unresolved20
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External citation measurements

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Outbound references

Observation 3a47b3b7-ced6-4754-8222-cb91bfe2d0c3 · outbound

This paper cites Language mod- els are few-shot learners,.

Balancing Information Accuracy and Response Timeliness in Networked LLMs Language mod- els are few-shot learners,

Reference 1

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 90d64b19-2a55-4ee8-acd3-0ffe05ce3b8a · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

Balancing Information Accuracy and Response Timeliness in Networked LLMs LLaMA: Open and Efficient Foundation Language Models

Reference 2

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Observation 55cab594-c821-40ec-b9ee-583ec621412a · outbound

This paper cites The Llama 3 Herd of Models.

Balancing Information Accuracy and Response Timeliness in Networked LLMs The Llama 3 Herd of Models

Reference 3

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source=pdf_text observed=2026-08-06T05:12:28.734218Z digest=sha256:d81e7c78a52f2bd2a0107fb660e8225b760748223c050b21193d06a1ce9e9c56

Observation 685cad9b-eb7f-4ef0-b667-49ba9d51114c · outbound

This paper cites Qwen3 Technical Report.

Balancing Information Accuracy and Response Timeliness in Networked LLMs Qwen3 Technical Report

Reference 4

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source=pdf_text observed=2026-08-06T05:12:28.819846Z digest=sha256:40c40d8966f8b817895f8f5971984d9e21811d736e04b8c3431c08ae098ae66e

Observation 63d05a52-0dce-4665-9960-ba384731fdfc · outbound

This paper cites Toward Edge General Intelligence with Multiple-Large Language Model (Multi-LLM): Architecture, Trust, and Orchestration.

Balancing Information Accuracy and Response Timeliness in Networked LLMs Toward Edge General Intelligence with Multiple-Large Language Model (Multi-LLM): Architecture, Trust, and Orchestration

Reference 5

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source=pdf_text observed=2026-08-06T05:12:28.940425Z digest=sha256:27c9329f7f13ff67267cad0454f2d2174b3abf66e7b2d54e44ab242ca9d6faab

Observation 23a21d5b-ae5b-42cb-87b4-49625d188935 · outbound

This paper cites Why do multi-agent LLM system s fail?.

Balancing Information Accuracy and Response Timeliness in Networked LLMs Why do multi-agent LLM system s fail?

Reference 6

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Observation 0a842a0b-4665-4967-b1fa-6cb1672a5138 · outbound

This paper cites Mixture-of-Agents Enhances Large Language Model Capabilities.

Balancing Information Accuracy and Response Timeliness in Networked LLMs Mixture-of-Agents Enhances Large Language Model Capabilities

Reference 7

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Observation 10463b78-c069-4258-893d-8bfdfd8a167a · outbound

This paper cites SMoA: Improving multi-agent large language models with sparse mi xture-of- agents,.

Balancing Information Accuracy and Response Timeliness in Networked LLMs SMoA: Improving multi-agent large language models with sparse mi xture-of- agents,

Reference 8

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Observation 0a24f591-33c4-4f8f-af58-a459be3d1396 · outbound

This paper cites RMoA: Optimizing Mixture-of-Agents through Diversity Maximization and Residual Compensation.

Balancing Information Accuracy and Response Timeliness in Networked LLMs RMoA: Optimizing Mixture-of-Agents through Diversity Maximization and Residual Compensation

Reference 9

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source=pdf_text observed=2026-08-06T05:12:29.418893Z digest=sha256:9c6e8f8cf019eb46bfbf7ce79b23537078cf5a657cf586d39fd876574b32d9e4

Observation 2c687842-a22c-46c3-bf1a-a6eac4993b73 · outbound

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

Balancing Information Accuracy and Response Timeliness in Networked LLMs Improving Factuality and Reasoning in Language Models through Multiagent Debate

Reference 10

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Observation c8afed8d-637c-404e-b908-0488cecb2040 · outbound

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

Balancing Information Accuracy and Response Timeliness in Networked LLMs Encouraging Divergent Thinking in Large Language Models through Multi-Agent Debate

Reference 11

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Observation cb67d90e-096e-4d83-842c-5df3666eddac · outbound

This paper cites X -mas: Towards building multi-agent systems with heterogeneous L LMs,.

Balancing Information Accuracy and Response Timeliness in Networked LLMs X -mas: Towards building multi-agent systems with heterogeneous L LMs,

Reference 12

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Observation 1abec15a-91c0-4799-afe5-50ebc6eac789 · outbound

This paper cites FrugalGPT: How to use la rge language models while reducing cost and improving performa nce,.

Balancing Information Accuracy and Response Timeliness in Networked LLMs FrugalGPT: How to use la rge language models while reducing cost and improving performa nce,

Reference 13

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source=pdf_text observed=2026-08-06T05:12:29.898853Z digest=sha256:598f7f576563b0e1474c943fcb9f1985eb90014c4af69f2ffa95296dcf546207

Observation a8dcdbcb-a3ed-4e26-86d0-143f83f857b9 · outbound

This paper cites Available: https://arxiv.org/abs/2505.

Balancing Information Accuracy and Response Timeliness in Networked LLMs Available: https://arxiv.org/abs/2505

Reference 14

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source=pdf_text observed=2026-08-06T05:12:29.799795Z digest=sha256:253e5bb661e92032ad53d096884cb39c5d7862d2bde930c506329e2e5fd83796

Observation 6ade0ec9-2443-49a8-813e-9aa22f092dae · outbound

This paper cites Leveraging Uncertainty Estimation for Efficient LLM Routing.

Balancing Information Accuracy and Response Timeliness in Networked LLMs Leveraging Uncertainty Estimation for Efficient LLM Routing

Reference 15

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source=pdf_text observed=2026-08-06T05:12:30.208060Z digest=sha256:287ef472597c90f1b37795a7d20e4c188e08a1d16219ec7f3ee4b4160cba5dda

Observation 00d5258b-8b42-4b4d-a9e6-27e880bd964e · outbound

This paper cites LightRouter: Towards Efficient LLM Collaboration with Minimal Overhead.

Balancing Information Accuracy and Response Timeliness in Networked LLMs LightRouter: Towards Efficient LLM Collaboration with Minimal Overhead

Reference 16

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Observation 0737a9be-3e54-4131-ba7b-c0c60bba1c7c · outbound

This paper cites MixLLM: Dynamic routing in mixed large languag e models,.

Balancing Information Accuracy and Response Timeliness in Networked LLMs MixLLM: Dynamic routing in mixed large languag e models,

Reference 17

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Observation ccacbe4c-6a93-4c8f-8825-a28c2b94f68d · outbound

This paper cites Hybrid LLM: Cost-Efficient and Quality-Aware Query Routing.

Balancing Information Accuracy and Response Timeliness in Networked LLMs Hybrid LLM: Cost-Efficient and Quality-Aware Query Routing

Reference 18

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Observation aa89c273-0ccc-413d-8bca-551af00449f8 · outbound

This paper cites Distributed Mixture-of-Agents for Edge Inference with Large Language Models.

Balancing Information Accuracy and Response Timeliness in Networked LLMs Distributed Mixture-of-Agents for Edge Inference with Large Language Models

Reference 19

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Observation dc665d2f-711a-41e9-86a2-7367bfe14673 · outbound

This paper cites Harnessing the Power of Multiple Minds: Lessons Learned from LLM Routing.

Balancing Information Accuracy and Response Timeliness in Networked LLMs Harnessing the Power of Multiple Minds: Lessons Learned from LLM Routing

Reference 20

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Observation b3be3d99-df14-4588-841d-22d463339c3e · outbound

This paper cites Probability with engineering applications ,.

Balancing Information Accuracy and Response Timeliness in Networked LLMs Probability with engineering applications ,

Reference 21

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Observation 4d85b5d4-4b37-4c1b-9981-24cfb4a17e47 · outbound

This paper cites an unresolved cited work.

Balancing Information Accuracy and Response Timeliness in Networked LLMs Unresolved cited work

Reference 22

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Observation b00deb2a-1008-495b-a832-ca2014b98ee3 · outbound

This paper cites Dist ributed fact checking,.

Balancing Information Accuracy and Response Timeliness in Networked LLMs Dist ributed fact checking,

Reference 23

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Observation 6289716f-9860-49a2-8890-c8b7b283106e · outbound

This paper cites Mistral 7B.

Balancing Information Accuracy and Response Timeliness in Networked LLMs Mistral 7B

Reference 24

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Observation 716edd3a-c13d-40da-854a-030abe9806b9 · outbound

This paper cites Gemma 3 Technical Report.

Balancing Information Accuracy and Response Timeliness in Networked LLMs Gemma 3 Technical Report

Reference 25

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Observation 900b5972-ab20-4bf9-87da-2e02a1d69631 · outbound

This paper cites Euler-Mascheroni constant,.

Balancing Information Accuracy and Response Timeliness in Networked LLMs Euler-Mascheroni constant,

Reference 26

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Observation ba3c53ea-4964-4fa2-8d4c-7adb8355aca2 · outbound

This paper cites Scaling Instruction-Finetuned Language Models.

Balancing Information Accuracy and Response Timeliness in Networked LLMs Scaling Instruction-Finetuned Language Models

Reference 27

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Observation 22a3d6d8-2348-4c98-b1b7-8960a43cddbd · outbound

This paper cites The Falcon Series of Open Language Models.

Balancing Information Accuracy and Response Timeliness in Networked LLMs The Falcon Series of Open Language Models

Reference 28

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Observation 045d4a15-8fe6-405f-8117-e425a07646d8 · outbound

This paper cites Phi-4 Technical Report.

Balancing Information Accuracy and Response Timeliness in Networked LLMs Phi-4 Technical Report

Reference 29

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Observation bedbdc8e-1104-4490-b717-ec9e01ee54cf · outbound

This paper cites Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge.

Balancing Information Accuracy and Response Timeliness in Networked LLMs Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge

Reference 30

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Observation 778de501-66ad-47c7-8c96-82cae8bbb9a1 · outbound

This paper cites Commons enseQA: A question answering challenge targeting commonsense know ledge,.

Balancing Information Accuracy and Response Timeliness in Networked LLMs Commons enseQA: A question answering challenge targeting commonsense know ledge,

Reference 31

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Observation 64dec360-dedf-489f-8e5d-5d1df7da7118 · outbound

This paper cites Trivi aQA: A large scale distantly supervised challenge dataset for reading c omprehension,.

Balancing Information Accuracy and Response Timeliness in Networked LLMs Trivi aQA: A large scale distantly supervised challenge dataset for reading c omprehension,

Reference 32

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Observation b1d6d28a-d741-4c4b-8ab3-f1fac97bed19 · outbound

This paper cites Can Large Language Models Be an Alternative to Human Evaluations?.

Balancing Information Accuracy and Response Timeliness in Networked LLMs Can Large Language Models Be an Alternative to Human Evaluations?

Reference 33

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Observation 948c5dae-7ca1-4ecc-928f-325953cf86b2 · outbound

This paper cites Judging LLM-as-a-Judge with MT-Bench and Chatbot Arena.

Balancing Information Accuracy and Response Timeliness in Networked LLMs Judging LLM-as-a-Judge with MT-Bench and Chatbot Arena

Reference 37

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Observation 44d84820-df91-4fed-b8e7-18793758a7df · outbound

This paper cites Available: https://arxiv.org/abs/1705.

Balancing Information Accuracy and Response Timeliness in Networked LLMs Available: https://arxiv.org/abs/1705

Reference 2017

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source=pdf_text observed=2026-08-06T05:12:32.080675Z digest=sha256:0191203be1da8602bd4b1f594f83d078696eff92f74ef90ce79fdd6027e0ad11

Observation 2db88303-d53a-4e94-9f3e-d6c0e2bb6be7 · outbound

This paper cites Available: https://arxiv.org/abs/1811.

Balancing Information Accuracy and Response Timeliness in Networked LLMs Available: https://arxiv.org/abs/1811

Reference 2019

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T05:12:32.391732Z digest=sha256:7cfe471396c228b67cc7249e12c9758ff033526705db845f0ed7bf27f8dd904f

Observation e67f0963-b334-4ba4-8934-673bafec108e · outbound

This paper cites Available: https://arxiv.org/abs/2305.

Balancing Information Accuracy and Response Timeliness in Networked LLMs Available: https://arxiv.org/abs/2305

Reference 2023

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T05:12:34.979950Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T05:12:29.963118Z digest=sha256:33689d49436508665579c2be0ecff4e538734f48360bb586a50904a695167983

Observation 853d98b3-6a86-4d48-81fa-9ecd7ecd3cb2 · outbound

This paper cites Available: https://arxiv.org/abs/2503.

Balancing Information Accuracy and Response Timeliness in Networked LLMs Available: https://arxiv.org/abs/2503

Reference 2025

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T05:12:35.866173Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T05:12:29.141451Z digest=sha256:670d87e732a568085abd00472d2d0ce2aedc79e7b48398a20c9a5b67270a6de4

Pith citing papers

No inbound Pith citation observations are available.