Paper Citation Record · LEDGER

On the Convergence of Large Language Model Optimizer for Black-Box Network Management

As of 10 August 2026, this Paper Citation Record lists 59 of 59 outbound references and 1 inbound Pith citation observation for arXiv:2507.02689.

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

pith.paper-citation-record.v1
2507.02689 v1

Coverage vector

measured 59 of 59 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T20:33:47.203150Z

measured 60 of 60 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-10T18:59:56.166200Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-10T23:35:51.736859Z

Reference resolution

59 of 59 outbound references displayed

verified exact4
verified fuzzy41
unresolved14
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 1c86c164-8ca3-46b7-904b-a868f8cf34c8 · outbound

This paper cites Joint user selection, power allocation, and precoding design with imperfect CSIT for multi-cell MU-MIMO downlink systems,.

On the Convergence of Large Language Model Optimizer for Black-Box Network Management Joint user selection, power allocation, and precoding design with imperfect CSIT for multi-cell MU-MIMO downlink systems,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:33:56.524168Z

Source-reported events for the cited work

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Observation 2e5c8ca9-b40a-4f0d-b40b-0219322c8e88 · outbound

This paper cites Robust precoding designs for multiuser MIMO systems with limited feedback,.

On the Convergence of Large Language Model Optimizer for Black-Box Network Management Robust precoding designs for multiuser MIMO systems with limited feedback,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:33:56.353207Z

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Observation 8dd2cb75-af09-4add-bdb9-737a04d5c1bf · outbound

This paper cites Optimal design of energy-efficient multi-user MIMO systems: Is massive MIMO the answer?,.

On the Convergence of Large Language Model Optimizer for Black-Box Network Management Optimal design of energy-efficient multi-user MIMO systems: Is massive MIMO the answer?,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:33:56.214758Z

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Observation 1147ff71-b0dd-4f30-a9fb-b188aad6d912 · outbound

This paper cites an unresolved cited work.

On the Convergence of Large Language Model Optimizer for Black-Box Network Management Unresolved cited work

Reference 4

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Observation f46a15ac-77a1-4a9b-a9a1-5ea589544d8a · outbound

This paper cites Boyd and L.

On the Convergence of Large Language Model Optimizer for Black-Box Network Management Boyd and L

Reference 5

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Source-reported events for the cited work

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Observation 29ce1007-3c71-411e-a757-07dfa2862057 · outbound

This paper cites A unified algorithmic framework for block-structured optimization involving big data: With applications in machine learning and signal processing,.

On the Convergence of Large Language Model Optimizer for Black-Box Network Management A unified algorithmic framework for block-structured optimization involving big data: With applications in machine learning and signal processing,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:33:55.800622Z

Source-reported events for the cited work

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Observation 80f01745-876b-42d3-90a6-8a24774feea5 · outbound

This paper cites Deep learning for distributed optimization: Applications to wireless resource management,.

On the Convergence of Large Language Model Optimizer for Black-Box Network Management Deep learning for distributed optimization: Applications to wireless resource management,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:33:55.556280Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 062716b7-b516-441b-a575-45dc9a122d76 · outbound

This paper cites Artificial intelligence meets autonomy in wireless networks: A distributed learning approach,.

On the Convergence of Large Language Model Optimizer for Black-Box Network Management Artificial intelligence meets autonomy in wireless networks: A distributed learning approach,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:33:55.357242Z

Source-reported events for the cited work

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Observation 5f88ea80-ee89-4230-828d-a3564e3a0739 · outbound

This paper cites MOSAIC: Multiobjective optimization strategy for AI-aided internet of things communications,.

On the Convergence of Large Language Model Optimizer for Black-Box Network Management MOSAIC: Multiobjective optimization strategy for AI-aided internet of things communications,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:33:55.213236Z

Source-reported events for the cited work

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Observation 50dfa420-1364-439a-8092-d51882e0d9d9 · outbound

This paper cites Learning optimal fronthauling and decentralized edge computation in fog radio access networks,.

On the Convergence of Large Language Model Optimizer for Black-Box Network Management Learning optimal fronthauling and decentralized edge computation in fog radio access networks,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:33:55.035073Z

Source-reported events for the cited work

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Observation 456666f4-26a2-4d69-8ed7-3c8a4fea2e95 · outbound

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On the Convergence of Large Language Model Optimizer for Black-Box Network Management Unresolved cited work

Reference 12

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Source-reported events for the cited work

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Observation 0efb4739-2a27-44d0-818e-e7da8e67344d · outbound

This paper cites Taking the human out of the loop: A review of bayesian optimization,.

On the Convergence of Large Language Model Optimizer for Black-Box Network Management Taking the human out of the loop: A review of bayesian optimization,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:33:54.589200Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation e0cb82ab-b035-49d2-8a41-a8cd38f3b9fa · outbound

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On the Convergence of Large Language Model Optimizer for Black-Box Network Management Unresolved cited work

Reference 14

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation c04520f0-0a04-4212-b362-ab7a674ece54 · outbound

This paper cites Language models are unsupervised multitask learners,.

On the Convergence of Large Language Model Optimizer for Black-Box Network Management Language models are unsupervised multitask learners,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:33:54.331703Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation d25ae6a4-f719-4ef1-9b17-0cb4f82ea4c3 · outbound

This paper cites Language Models are Few-Shot Learners.

On the Convergence of Large Language Model Optimizer for Black-Box Network Management Language Models are Few-Shot Learners

Reference 16

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Source-reported events for the cited work

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Observation f5c4c150-f5a5-47dc-82e9-991fecbd5a0c · outbound

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

On the Convergence of Large Language Model Optimizer for Black-Box Network Management LLaMA: Open and Efficient Foundation Language Models

Reference 17

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Source-reported events for the cited work

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Observation 2dfaf9c3-c3cb-4b3d-8d68-e945d8f5dcba · outbound

This paper cites Large language models as optimizers,.

On the Convergence of Large Language Model Optimizer for Black-Box Network Management Large language models as optimizers,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:33:54.179361Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation b52d83c6-e543-4f97-a1a8-e3e0de718af0 · outbound

This paper cites Exploring the True Potential: Evaluating the Black-box Optimization Capability of Large Language Models.

On the Convergence of Large Language Model Optimizer for Black-Box Network Management Exploring the True Potential: Evaluating the Black-box Optimization Capability of Large Language Models

Reference 19

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Source-reported events for the cited work

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Observation 7e66dd1d-b2e3-4417-bc66-7e640a7db153 · outbound

This paper cites Large Language Models as Evolutionary Optimizers.

On the Convergence of Large Language Model Optimizer for Black-Box Network Management Large Language Models as Evolutionary Optimizers

Reference 20

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Source-reported events for the cited work

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Observation 1efc000d-03c1-4f0c-b92a-1d5d98b8fd68 · outbound

This paper cites Towards Optimizing with Large Language Models.

On the Convergence of Large Language Model Optimizer for Black-Box Network Management Towards Optimizing with Large Language Models

Reference 21

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Source-reported events for the cited work

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Observation 178530d1-2317-45de-bf80-c56aba27d7c1 · outbound

This paper cites Importance of directional feedback for LLM-based optimizers,.

On the Convergence of Large Language Model Optimizer for Black-Box Network Management Importance of directional feedback for LLM-based optimizers,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:33:54.072108Z

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Observation cd248dd7-942b-48b3-98b9-4992f6e56a22 · outbound

This paper cites Large language model-based evolutionary optimizer: Reasoning with elitism,.

On the Convergence of Large Language Model Optimizer for Black-Box Network Management Large language model-based evolutionary optimizer: Reasoning with elitism,

Reference 23

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Observation 1878574e-2991-4597-b2b0-fa7a81881754 · outbound

This paper cites Large Language Model for Multi-objective Evolutionary Optimization.

On the Convergence of Large Language Model Optimizer for Black-Box Network Management Large Language Model for Multi-objective Evolutionary Optimization

Reference 24

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 817d778b-9f87-42a1-9182-861d6f5a9f60 · outbound

This paper cites Large Language Models for Knowledge-Free Network Management: Feasibility Study and Opportunities.

On the Convergence of Large Language Model Optimizer for Black-Box Network Management Large Language Models for Knowledge-Free Network Management: Feasibility Study and Opportunities

Reference 25

Resolution: verified exact; local_arxiv, observed 2026-08-06T20:33:47.961700Z

Source-reported events for the cited work

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Observation c63f1893-0942-46c8-9a15-90e4e6972cbd · outbound

This paper cites AI-driven decentralized network management: Leveraging multi-agent large language models for scalable optimization,.

On the Convergence of Large Language Model Optimizer for Black-Box Network Management AI-driven decentralized network management: Leveraging multi-agent large language models for scalable optimization,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:33:53.767557Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 93163864-7ad9-4713-9389-748226c014be · outbound

This paper cites Wireless Multi-Agent Generative AI: From Connected Intelligence to Collective Intelligence.

On the Convergence of Large Language Model Optimizer for Black-Box Network Management Wireless Multi-Agent Generative AI: From Connected Intelligence to Collective Intelligence

Reference 27

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Observation b7d4dbef-58f3-4914-a7ac-af36ee373a67 · outbound

This paper cites GenAINet: Enabling Wireless Collective Intelligence via Knowledge Transfer and Reasoning.

On the Convergence of Large Language Model Optimizer for Black-Box Network Management GenAINet: Enabling Wireless Collective Intelligence via Knowledge Transfer and Reasoning

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-06T20:33:43.343441Z

Source-reported events for the cited work

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Observation 0d3204d1-9129-470e-afd1-5af0b63cc20a · outbound

This paper cites Large Language Model Based Multi-Objective Optimization for Integrated Sensing and Communications in UAV Networks.

On the Convergence of Large Language Model Optimizer for Black-Box Network Management Large Language Model Based Multi-Objective Optimization for Integrated Sensing and Communications in UAV Networks

Reference 29

Resolution: verified exact; local_arxiv, observed 2026-08-06T20:33:47.709918Z

Source-reported events for the cited work

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Observation adb96e48-274e-4af5-98f4-35264431222d · outbound

This paper cites Large language model-based wireless network design,.

On the Convergence of Large Language Model Optimizer for Black-Box Network Management Large language model-based wireless network design,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:33:53.624363Z

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Observation 3d219a5a-a0b6-450f-b57b-01340a339a6d · outbound

This paper cites WirelessAgent: Large Language Model Agents for Intelligent Wireless Networks.

On the Convergence of Large Language Model Optimizer for Black-Box Network Management WirelessAgent: Large Language Model Agents for Intelligent Wireless Networks

Reference 31

Resolution: verified exact; local_arxiv, observed 2026-08-06T20:33:47.447586Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 4917a573-be17-4bee-b3c1-87dad13cf045 · outbound

This paper cites Chain-of-thought prompting elicits reasoning in large language models,.

On the Convergence of Large Language Model Optimizer for Black-Box Network Management Chain-of-thought prompting elicits reasoning in large language models,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:33:53.507595Z

Source-reported events for the cited work

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Observation 30852316-0da2-4369-8674-cf898adcb96d · outbound

This paper cites Self-consistency improves chain of thought reasoning in language models,.

On the Convergence of Large Language Model Optimizer for Black-Box Network Management Self-consistency improves chain of thought reasoning in language models,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:33:53.404048Z

Source-reported events for the cited work

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Observation 8794532e-7aa5-4ff9-81ef-5374e4928fd2 · outbound

This paper cites Large language models as general pattern machines,.

On the Convergence of Large Language Model Optimizer for Black-Box Network Management Large language models as general pattern machines,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:33:53.259574Z

Source-reported events for the cited work

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Observation 5ff98420-686d-4166-8c98-b79a5567cb53 · outbound

This paper cites LLMSense: Harnessing LLMs for High-level Reasoning Over Spatiotemporal Sensor Traces.

On the Convergence of Large Language Model Optimizer for Black-Box Network Management LLMSense: Harnessing LLMs for High-level Reasoning Over Spatiotemporal Sensor Traces

Reference 35

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Observation b2d009f8-d890-4465-8de8-e11fb0cab5be · outbound

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

On the Convergence of Large Language Model Optimizer for Black-Box Network Management ReAct: Synergizing reasoning and acting in language models,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:33:53.078866Z

Source-reported events for the cited work

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Observation 5033e629-4321-4118-a255-12e1c2754280 · outbound

This paper cites Reflextion: Language agents with verbal reinforcement learning,.

On the Convergence of Large Language Model Optimizer for Black-Box Network Management Reflextion: Language agents with verbal reinforcement learning,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:33:52.961161Z

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Observation b02b768b-a141-41a9-83fc-b82295eeb62b · outbound

This paper cites OptiMUS: Scalable optimization modeling with (MI)LP solvers and large language models,.

On the Convergence of Large Language Model Optimizer for Black-Box Network Management OptiMUS: Scalable optimization modeling with (MI)LP solvers and large language models,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:33:52.691170Z

Source-reported events for the cited work

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Observation 16103be8-a073-4eb6-a919-82d759d829f4 · outbound

This paper cites Optimizing the focusing performance 42 of non-ideal cell-free mMIMO using genetic algorithm for indoor scenario,.

On the Convergence of Large Language Model Optimizer for Black-Box Network Management Optimizing the focusing performance 42 of non-ideal cell-free mMIMO using genetic algorithm for indoor scenario,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:33:52.417037Z

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Observation 937988e9-4b94-4d49-a94c-642be52aed02 · outbound

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On the Convergence of Large Language Model Optimizer for Black-Box Network Management A block quantum genetic interference mitigation algorithm for dynamic metasurface antennas and field trials,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:33:52.194358Z

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Observation 1bbf6ff6-9f43-44b3-b56f-08e1bd6076a3 · outbound

This paper cites Decentralized computation offloading with cooperative UA Vs: A multi-agent deep reinforcement learning perspective,.

On the Convergence of Large Language Model Optimizer for Black-Box Network Management Decentralized computation offloading with cooperative UA Vs: A multi-agent deep reinforcement learning perspective,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:33:52.008368Z

Source-reported events for the cited work

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Observation 08b60f10-4003-4449-80bb-f1afb1dd7786 · outbound

This paper cites Cooperative multi-agent deep reinforcement learning methods for UA V-aided mobile edge computing networks,.

On the Convergence of Large Language Model Optimizer for Black-Box Network Management Cooperative multi-agent deep reinforcement learning methods for UA V-aided mobile edge computing networks,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:33:51.822221Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 83c3657b-6903-4c81-b7af-47199c9f28ae · outbound

This paper cites An explanation of in-context learning as implicit Bayesian inference,.

On the Convergence of Large Language Model Optimizer for Black-Box Network Management An explanation of in-context learning as implicit Bayesian inference,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:33:51.660949Z

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Observation 38d16439-3695-4a46-aa71-d8ded5a97110 · outbound

This paper cites Large language models are zero-shot reasoners,.

On the Convergence of Large Language Model Optimizer for Black-Box Network Management Large language models are zero-shot reasoners,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:33:51.448968Z

Source-reported events for the cited work

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Observation 10889234-266f-479f-9c9c-ebcde623ca96 · outbound

This paper cites Survey of hallucination in natural language generation,.

On the Convergence of Large Language Model Optimizer for Black-Box Network Management Survey of hallucination in natural language generation,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:33:51.171133Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 1e2333f6-788c-4e37-b3c1-4205e6af8add · outbound

This paper cites Towards mitigating hallucination in large language models via self- reflection,.

On the Convergence of Large Language Model Optimizer for Black-Box Network Management Towards mitigating hallucination in large language models via self- reflection,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:33:50.931140Z

Source-reported events for the cited work

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Observation 45d66c7b-02c6-4653-99c4-590e7b50542d · outbound

This paper cites Convergence analysis of canonical genetic algorithms,.

On the Convergence of Large Language Model Optimizer for Black-Box Network Management Convergence analysis of canonical genetic algorithms,

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:33:50.764347Z

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Observation 6e84f508-28ee-48d9-9e63-d98046867f85 · outbound

This paper cites A Markov chain analysis on simple genetic algorithms,.

On the Convergence of Large Language Model Optimizer for Black-Box Network Management A Markov chain analysis on simple genetic algorithms,

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:33:50.567817Z

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Observation 428fad30-7cc3-4a79-8867-5616e16d1c5c · outbound

This paper cites Average convergence rate of evolutionary algorithms,.

On the Convergence of Large Language Model Optimizer for Black-Box Network Management Average convergence rate of evolutionary algorithms,

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:33:50.420341Z

Source-reported events for the cited work

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Observation 1f3a19b7-14af-41dc-97b5-04f7491b8618 · outbound

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On the Convergence of Large Language Model Optimizer for Black-Box Network Management Unresolved cited work

Reference 50

Resolution: unresolved; raw_fallback, observed 2026-08-06T20:33:50.138794Z

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Observation b64ba417-a326-4b47-b97e-4a2b605bb171 · outbound

This paper cites On the convergence rates of genetic algorithms,.

On the Convergence of Large Language Model Optimizer for Black-Box Network Management On the convergence rates of genetic algorithms,

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:33:49.853762Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 883a7b4e-6803-43f2-80ce-6e2638eb006f · outbound

This paper cites Average convergence rate of evolutionary algorithms in continuous optimization,.

On the Convergence of Large Language Model Optimizer for Black-Box Network Management Average convergence rate of evolutionary algorithms in continuous optimization,

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:33:49.616091Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation eaff3f95-9262-4d69-b8ec-c219d875ea34 · outbound

This paper cites An iteratively weighted MMSE approach to distributed sum-utility maximization for a MIMO interfering broadcast channel,.

On the Convergence of Large Language Model Optimizer for Black-Box Network Management An iteratively weighted MMSE approach to distributed sum-utility maximization for a MIMO interfering broadcast channel,

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:33:49.462381Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation ee07e6e3-1bb0-4254-8c20-6dea6b6e7287 · outbound

This paper cites Learning autonomy in management of wireless random networks,.

On the Convergence of Large Language Model Optimizer for Black-Box Network Management Learning autonomy in management of wireless random networks,

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:33:54.859226Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation d11093dd-acc9-4202-b8bd-8b8258031587 · outbound

This paper cites Fractional programming for communication systems—Part I: Power control and beamforming,.

On the Convergence of Large Language Model Optimizer for Black-Box Network Management Fractional programming for communication systems—Part I: Power control and beamforming,

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:33:49.232250Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 28b8329a-e303-4869-a265-38c2fabd6774 · outbound

This paper cites Horn and C.

On the Convergence of Large Language Model Optimizer for Black-Box Network Management Horn and C

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:33:48.998460Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 3978c9a2-2e62-4fff-ba3e-fb06477a33e2 · outbound

This paper cites Genetic algorithms: What fitness scaling is optimal?,.

On the Convergence of Large Language Model Optimizer for Black-Box Network Management Genetic algorithms: What fitness scaling is optimal?,

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:33:48.839365Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation b2628425-75aa-4027-953a-a3c3fff37715 · outbound

This paper cites DeepMIMO: A generic deep learning dataset for millimeter wave and massive MIMO applications,.

On the Convergence of Large Language Model Optimizer for Black-Box Network Management DeepMIMO: A generic deep learning dataset for millimeter wave and massive MIMO applications,

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:33:48.646774Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 41f34ebd-3167-49fc-befa-e3344d2188a8 · outbound

This paper cites TelecomGPT: A Framework to Build Telecom-Specfic Large Language Models.

On the Convergence of Large Language Model Optimizer for Black-Box Network Management TelecomGPT: A Framework to Build Telecom-Specfic Large Language Models

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-06T20:33:47.098920Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4ca558d7-5714-4994-bf57-937f5d8023e4 · outbound

This paper cites Isoifescu, Finite Markov Processes and Their Applications.

On the Convergence of Large Language Model Optimizer for Black-Box Network Management Isoifescu, Finite Markov Processes and Their Applications

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:33:48.437574Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Pith citing papers

Observation 603c4afb-a1aa-4f96-a2a6-759d4e25b7c0 · inbound

Agentic AI-Based Joint Computing and Networking via Mixture of Experts and Large Language Models cites this paper.

Agentic AI-Based Joint Computing and Networking via Mixture of Experts and Large Language Models On the Convergence of Large Language Model Optimizer for Black-Box Network Management

Reference 21

Resolution: verified exact; arxiv_id, observed 2026-05-10T23:35:51.741528Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.