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Paper Citation Record · LEDGER

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

As of 7 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 2026-08-07T06:34:17.273281+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

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raw_fallback, observed 2026-08-06T20:33:56.524168Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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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

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T20:33:40.947596Z digest=sha256:ce80ec042c75ddbdd43cacb256c9671d685e48a8a9577005e3e1bcbae45cb26f

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

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raw_fallback, observed 2026-08-06T20:33:56.214758Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T20:33:41.091750Z digest=sha256:bd0e7129444d6ca2e8e63662fe479f09eb29b88dd2c75eb10d5d23402fbec7a7

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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raw_fallback, observed 2026-08-06T20:33:56.005854Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T20:33:41.209256Z digest=sha256:5274ce28e081059df3be21e7efb96125324f6d32c9a910e7460d0f8fc65c465c

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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no resolver link, observed 2026-08-06T20:33:41.286216Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:33:41.286216Z digest=sha256:7703ad577151dc2329ac002b66be7c39118f1378dd73eef0fee2ebb5d6b3cb1d

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

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T20:33:41.366800Z digest=sha256:28bfe03a4d0613bd6db23163f3c4d904f312a126a8d111d93b15545dc7f8a974

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

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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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T20:33:41.445101Z digest=sha256:5e2bb57c898bb9c649c4b34f93d9faa6c03e3d07cbb3d93e2e827bbbf42d5258

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

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T20:33:41.508173Z digest=sha256:f17da15c7a85fd2f671274570703ef4800a3b4018224de31404e16bf806d05cb

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

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T20:33:41.576433Z digest=sha256:b6459a5c1033ab09bef94c876cdafdc6453c4b7900cf83ced263266385b9acac

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

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raw_fallback, observed 2026-08-06T20:33:55.035073Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T20:33:41.666768Z digest=sha256:b457216bfd5e1c64c6ab6dfa5f89f961cb7f9e7e6e0ba52178489de91e1e2a3e

Observation 456666f4-26a2-4d69-8ed7-3c8a4fea2e95 · 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 12

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T20:33:41.862070Z digest=sha256:93ed949d11578fd442fd473691e4430d0bbd12bcb888fd1ac64e0c3ce1fc2b3a

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

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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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T20:33:41.920179Z digest=sha256:44e6afe56a9f1e57e1972a4ef91464a0f642c890e39f413fe3bb177a870790d0

Observation e0cb82ab-b035-49d2-8a41-a8cd38f3b9fa · 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 14

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raw_fallback, observed 2026-08-06T20:33:54.465862Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T20:33:41.942282Z digest=sha256:505b15db094ae92c94fcc8ff7ebb396af1b9cf16f002bd3091fde1c4bafa895f

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

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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 2026-08-07T06:34:17.273281+00:00.

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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

Resolution
unresolved
no resolver link, observed 2026-08-06T20:33:42.164899Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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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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no resolver link, observed 2026-08-06T20:33:42.250750Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:33:42.250750Z digest=sha256:6c36a7d578af4af3986d0aa30f7945060ca0287c02c0c35d33ebc66049a1ce34

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

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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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T20:33:42.327856Z digest=sha256:01060341ceb39f8e425c6281d84286e46d18f2438874928405d49aaf1660d8ef

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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no resolver link, observed 2026-08-06T20:33:42.409678Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:33:42.409678Z digest=sha256:d01e1881ad41a38a463c9b2048b00097055bec612d938b24b0a041650409c3f7

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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no resolver link, observed 2026-08-06T20:33:42.534476Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:33:42.534476Z digest=sha256:042896942b3e126f4ba693dd821c0f61ce93ff94146eeb93bb11c5ed45bfe0aa

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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no resolver link, observed 2026-08-06T20:33:42.602505Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:33:42.602505Z digest=sha256:ac1f111222bf3925a90fbd0c189f5ffdd8b6c0c13609d5701495d7782d33570c

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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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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raw_fallback, observed 2026-08-06T20:33:53.940929Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T20:33:42.817051Z digest=sha256:69d2d873db72f5fb1098ef901d458ac9b1e58afef8a93100daa460d5081f5fd1

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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local_arxiv, observed 2026-08-06T20:33:48.222918Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T20:33:42.922788Z digest=sha256:3f8e3f94cea6afcbb3b10e2b1771b64c0d6b38e64217e6dc8e0126cb14656d6d

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

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T20:33:43.014384Z digest=sha256:49439e37506e3e94f51d1b3eb953587d4e49187617c7250424ede4fa5d7a8f9c

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

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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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T20:33:43.185673Z digest=sha256:302867c78b7c49c80c382c51cebd57719ae1def1b962a41f48ca34697460ec0c

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

Resolution
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no resolver link, observed 2026-08-06T20:33:43.274196Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:33:43.274196Z digest=sha256:ec96e275f0de8f216e1860da51d3a0d6c79c3e5a6555a34460d1b3ab7b5fb2af

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

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:33:43.343441Z digest=sha256:050d9d3fdb2554a146402d41b82f4ebb58cc688e8128f65ee3a9138c42f3579b

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

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T20:33:43.440682Z digest=sha256:d9bf54687f9fca1dab679cfdc450b6a250493b32d8785811585d78f15397ba31

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T20:33:43.534536Z digest=sha256:3ffc461386c0f440d0c898b4fae91c1e80aae696f70169ca6c90a7f0a0d9df5b

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T20:33:43.622164Z digest=sha256:e5e78d1dd1ee71f9c9f24bcb9691b4306173580f4edec4765fc16cf6fafe148f

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

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T20:33:43.763192Z digest=sha256:3b24ca00818abbe703dc0fe141c60c59ebae07ee843b7aab5e23ccb1dfe674c3

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

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T20:33:43.936025Z digest=sha256:19ebdc1b48084f86faafa45f8f4c1963ef33fe328b71a362db61c0354b4a2ab3

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

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T20:33:44.091172Z digest=sha256:6f8488e0899ddf50487a74c3d1bdba8ca2b798ee42e5b7eb8f447d35393845e7

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

Resolution
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no resolver link, observed 2026-08-06T20:33:44.203275Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:33:44.203275Z digest=sha256:e3d4430cf4c757a91ca895f39a988127121428c9d08ff960f91f443b698560e8

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

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T20:33:44.303133Z digest=sha256:0ba1b02bce6466a5d35104a1b11344def1d0a3426e6c6fed7dd4a8d89de8db30

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T20:33:44.402886Z digest=sha256:e05272c8903f7250af8060706b174c69060c643076136b59f4296d45d58a6e9a

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

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T20:33:44.508638Z digest=sha256:06d6bd191d3d4590f12844fc0eadc244218d728f6faae3a38c305754accddc5c

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T20:33:44.632969Z digest=sha256:73400a8fd0c2ba5406ddc09468e39259ae382e624ac9783732beccc99ef00d0e

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

This paper cites A block quantum genetic interference mitigation algorithm for dynamic metasurface antennas and field trials,.

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T20:33:44.725254Z digest=sha256:f3c514caed5fff606899d8cccd12cb204564705f5606fce9efb27131b2239000

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

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T20:33:44.810230Z digest=sha256:762ad1b59dbcb383c1fd64204e6cdb079aa859b9932fe998a0afd7b9fe302aa5

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T20:33:44.882352Z digest=sha256:22cea87d1149f9cca4761f2bb0cee1b9a5cd0252eb6c96582ea387d09bf5c13e

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T20:33:44.976590Z digest=sha256:53e6f9d400432bca9ae3ee907c3eefdc51811b2ab076ac060e0cb1052ff63051

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

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T20:33:45.061360Z digest=sha256:a07048a6b092df7bad3144f16b28099350958ffa57ff55a6023f2cde18557a3e

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T20:33:45.150696Z digest=sha256:10256b4fc08e03ffe535a7126a4e0831731bc480367e486d1f05978de02fce4c

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

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T20:33:45.228220Z digest=sha256:6d42beea5b11e052d6eb7c39c92d194624bd49d6c8875310fedd4cdac3acecad

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T20:33:45.313727Z digest=sha256:e8faefc5a399a9f8b3392eff0d71489af957907c26beff3f71b2c9a43b7046ea

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T20:33:45.426881Z digest=sha256:f9deb21326069255d2da46588740373f27c90c39f0810d74d93b067a7c4573f3

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

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T20:33:45.582613Z digest=sha256:584130e1cb99c2c19752d66557e561e8ef01934d4103fee6bcb6549e65795874

Observation 1f3a19b7-14af-41dc-97b5-04f7491b8618 · 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 50

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T20:33:45.646701Z digest=sha256:f07cc48f8bd90c3978b6185a6b0c24ba077a49287c26f08156b193fc563cb048

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T20:33:45.825905Z digest=sha256:30bd0ad466559cca98b84225b7f132df1a45796c97eb308e74926b7e74d63115

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T20:33:45.928750Z digest=sha256:1c0c05c2bb62a745baa0af1376842f831320aa4bff183197f693076cde0ceca6

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T20:33:46.065921Z digest=sha256:3c59cfb9215c3ee73e06c9b153cb9ab9caa7197422bc726ccce1452ea0dac367

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T20:33:46.201934Z digest=sha256:2acbfe0799623598446741328795d9819a669c33dd648f5cd4bde1cbad62c8b3

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T20:33:46.388393Z digest=sha256:5100bcbdda63bf9af1ed818c9e51379847f9bde814ef4996c72b45804f5fe26a

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T20:33:46.609829Z digest=sha256:bca747c5fb5dde5c5d9ff1fa394f5c15dc1769e37c83b7491f18e01f4eedb992

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T20:33:46.823399Z digest=sha256:5e44ec2d80848a4360ec593ed8ea488badce5b72c7af2c89dea16cdf4d925052

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T20:33:46.963018Z digest=sha256:3114f9a7d51622251c03e0c85cd880115e94d23c1025dc94c1e61587d8d6f0d9

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.

source=pdf_text observed=2026-08-06T20:33:47.098920Z digest=sha256:5fa3fe58b166a33b943e5ca2b63a281a4e4b25a84e80093b28e20a2dace4a60d

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T20:33:47.203150Z digest=sha256:f5388957f245b8a1fd37eff7335c2aa05321782484f58d1a13aceaa1840a7337

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T18:59:56.166200Z digest=sha256:142b1c20b954994e3ef293b07e57c582dc995d0f43b9c570b364e6d8ae03a974