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Paper Citation Record · LEDGER

LAMeTA: Intent-Aware Agentic Network Optimization via a Large AI Model-Empowered Two-Stage Approach

As of 16 August 2026, this Paper Citation Record lists 38 of 38 outbound references and 7 inbound Pith citation observations for arXiv:2505.12247.

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

pith.paper-citation-record.v1
2505.12247 v1

Coverage vector

measured 38 of 38 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:42:57.278547Z

measured 45 of 45 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T18:24:55.178142Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-18T04:30:53.194935Z

Reference resolution

38 of 38 outbound references displayed

  • verified exact0
  • verified fuzzy30
  • unresolved8
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 1da0ef8a-bf65-4b52-83d3-ef164631b513 · outbound

This paper cites When large language model agents meet 6G networks: Perception, grounding, and alignment,.

LAMeTA: Intent-Aware Agentic Network Optimization via a Large AI Model-Empowered Two-Stage Approach When large language model agents meet 6G networks: Perception, grounding, and alignment,

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:42:57.994845Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:42:57.109434Z digest=sha256:e6d77ed7b79a918d4643739555770c48589b308359309fa9adbc0b2739ca7c23

Observation fff9a391-866a-4748-881c-a34eb757b2c6 · outbound

This paper cites Integration of Agentic AI with 6G Networks for Mission-Critical Applications: Use-case and Challenges.

LAMeTA: Intent-Aware Agentic Network Optimization via a Large AI Model-Empowered Two-Stage Approach Integration of Agentic AI with 6G Networks for Mission-Critical Applications: Use-case and Challenges

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-15T20:42:57.114781Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:42:57.114781Z digest=sha256:a08d509c2466223674f90e2603aa1b16a09f67eac05592cbc7c3a195e2a59150

Observation 70371953-1c42-40a4-b6f1-c1d0663cbf70 · outbound

This paper cites Dynamic LLM-agent network: An LLM-agent collabo- ration framework with agent team optimization,.

LAMeTA: Intent-Aware Agentic Network Optimization via a Large AI Model-Empowered Two-Stage Approach Dynamic LLM-agent network: An LLM-agent collabo- ration framework with agent team optimization,

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:42:57.980467Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:42:57.120255Z digest=sha256:1ed9c8785f1deac65540bafa8b029eb138cd9d815a76439bb9886e0b1ce41dd8

Observation e0e2908f-f481-4680-816f-53bb3aba91f5 · outbound

This paper cites Meta-entrepreneurship: An analysis theory on integrating generative AI, agentic AI, and metaverse for entrepreneur- ship,.

LAMeTA: Intent-Aware Agentic Network Optimization via a Large AI Model-Empowered Two-Stage Approach Meta-entrepreneurship: An analysis theory on integrating generative AI, agentic AI, and metaverse for entrepreneur- ship,

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:42:57.966243Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:42:57.125215Z digest=sha256:9852e92150acf559df1dd7972cad5054f872d0dae336b3d24368f1146f0ba87c

Observation b97aa271-da4d-4690-875d-1f7ec0258023 · outbound

This paper cites MasRouter: Learning to Route LLMs for Multi-Agent Systems.

LAMeTA: Intent-Aware Agentic Network Optimization via a Large AI Model-Empowered Two-Stage Approach MasRouter: Learning to Route LLMs for Multi-Agent Systems

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-15T20:42:57.130195Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:42:57.130195Z digest=sha256:f16c4dac5c489c204bf4f8ec0f76949cb8457cc0187c2017fe40420827bf553a

Observation bf05bb04-080e-48bb-b3d8-0e2d8bab7636 · outbound

This paper cites A nested decomposition model for reliable NFV 5G network slicing,.

LAMeTA: Intent-Aware Agentic Network Optimization via a Large AI Model-Empowered Two-Stage Approach A nested decomposition model for reliable NFV 5G network slicing,

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:42:57.952099Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:42:57.135472Z digest=sha256:b28583e5c628c818d99859ef42a30ac7e71d3f67a8d2a2eee094629c4a60f40c

Observation 95474a6b-c4d5-4f02-b173-6095945dc720 · outbound

This paper cites Standing on the shoulders of giants: Cross-slice federated meta learning for resource orchestration to cold-start slice,.

LAMeTA: Intent-Aware Agentic Network Optimization via a Large AI Model-Empowered Two-Stage Approach Standing on the shoulders of giants: Cross-slice federated meta learning for resource orchestration to cold-start slice,

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:42:57.937580Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:42:57.140504Z digest=sha256:20f41fbe02befa5a02c225affccd01e9ab5ce2cbaa284f9b5c8926ac23471edb

Observation ad0a3e0d-943f-415a-a9bf-4ba28feb6ffc · outbound

This paper cites Generative AI agents with large language model for satellite networks via a mixture of experts transmission,.

LAMeTA: Intent-Aware Agentic Network Optimization via a Large AI Model-Empowered Two-Stage Approach Generative AI agents with large language model for satellite networks via a mixture of experts transmission,

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-15T20:42:57.145203Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:42:57.145203Z digest=sha256:99f8a8313daed0c0aae5bf85240d89d7988ce871c2111bf95589224d69bdde89

Observation 37ea2f3a-ec54-41cf-bd39-07872e4794df · outbound

This paper cites Large AI model empowered multimodal semantic communications,.

LAMeTA: Intent-Aware Agentic Network Optimization via a Large AI Model-Empowered Two-Stage Approach Large AI model empowered multimodal semantic communications,

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:42:57.913839Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:42:57.149799Z digest=sha256:84ae0a7f36fb9569525306331a0923732e14cfd0c2d37bd23b23cae9472a7825

Observation 28a3a376-dd26-424a-ab0e-0d2bda4967d0 · outbound

This paper cites Large AI model-based semantic communications,.

LAMeTA: Intent-Aware Agentic Network Optimization via a Large AI Model-Empowered Two-Stage Approach Large AI model-based semantic communications,

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:42:57.899157Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:42:57.154498Z digest=sha256:b1aea4f964cb499bc7143898a32bc811316791aa18705b010e80a99cf0568f54

Observation 491b8fad-575d-481a-ab9c-68ada9797a57 · outbound

This paper cites Wirelessllm: Empowering large language models towards wireless intelligence,.

LAMeTA: Intent-Aware Agentic Network Optimization via a Large AI Model-Empowered Two-Stage Approach Wirelessllm: Empowering large language models towards wireless intelligence,

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:42:57.885948Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:42:57.159136Z digest=sha256:22828621688b6a5bde89eddd0dca4d4d95e8edf155c8d556e20f07cad639c435

Observation 2846785a-7cbb-4dea-a026-137d8dee7d04 · outbound

This paper cites Uniter: Universal image-text representation learning,.

LAMeTA: Intent-Aware Agentic Network Optimization via a Large AI Model-Empowered Two-Stage Approach Uniter: Universal image-text representation learning,

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:42:57.872914Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:42:57.163418Z digest=sha256:9825a22917f6256688805ffb90e0e883cd39a678197254301b4d7f0edd5f5fab

Observation 695f617a-78f0-4a56-800d-eb64ace3a17a · outbound

This paper cites A dynamic llm-powered agent network for task-oriented agent collaboration,.

LAMeTA: Intent-Aware Agentic Network Optimization via a Large AI Model-Empowered Two-Stage Approach A dynamic llm-powered agent network for task-oriented agent collaboration,

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:42:57.859031Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:42:57.167316Z digest=sha256:87b025fb6dfc70944922de7d590cd210e41f359aca707da80e8d15198d8c5b25

Observation fbbb55db-e51a-4f82-8a26-e58b6e71f8ce · outbound

This paper cites Towards Agentic AI Networking in 6G: A Generative Foundation Model-as-Agent Approach.

LAMeTA: Intent-Aware Agentic Network Optimization via a Large AI Model-Empowered Two-Stage Approach Towards Agentic AI Networking in 6G: A Generative Foundation Model-as-Agent Approach

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-15T20:42:57.171273Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:42:57.171273Z digest=sha256:f1818b2379c3bcbb003b672dd7c4e4c95c6e71c1a325ef0fa9b2aa4e1a3fb917

Observation 9c1e4ccf-09fd-4d6e-85dd-90dc2031c121 · outbound

This paper cites Advanced architectures integrated with agentic AI for next-generation wireless networks,.

LAMeTA: Intent-Aware Agentic Network Optimization via a Large AI Model-Empowered Two-Stage Approach Advanced architectures integrated with agentic AI for next-generation wireless networks,

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-15T20:42:57.175228Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:42:57.175228Z digest=sha256:c52163372e09eb13edc4dc48df05b5a2c90739693acc2642b3737ec2f0551ac4

Observation d3db2a61-db7e-4b6d-863c-05f918990e25 · outbound

This paper cites Firewalls to Secure Dynamic LLM Agentic Networks.

LAMeTA: Intent-Aware Agentic Network Optimization via a Large AI Model-Empowered Two-Stage Approach Firewalls to Secure Dynamic LLM Agentic Networks

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-15T20:42:57.179069Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:42:57.179069Z digest=sha256:8bb1468b979c2899874c73854fadf266c60bd62de3a884a34a1894b6096606fd

Observation 652cf7e8-0d32-4f82-8607-38978ef2ca34 · outbound

This paper cites Intent-based management of next-generation networks: an llm-centric approach,.

LAMeTA: Intent-Aware Agentic Network Optimization via a Large AI Model-Empowered Two-Stage Approach Intent-based management of next-generation networks: an llm-centric approach,

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:42:57.845849Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:42:57.183391Z digest=sha256:114662e6838837934ac561bc2bf64b891c83e2d3d34f8ebe6cd82ecd93d997a6

Observation fc42b5d8-b5c0-49c8-aa34-6587e9b9c49f · outbound

This paper cites Towards intent-based network management: Large language models for intent extraction in 5g core networks,.

LAMeTA: Intent-Aware Agentic Network Optimization via a Large AI Model-Empowered Two-Stage Approach Towards intent-based network management: Large language models for intent extraction in 5g core networks,

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:42:57.831968Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:42:57.187293Z digest=sha256:27e47ca887cffa8d0c919b25b15b1b0a3ea7feae19ee6f2c9e7f394990a5499f

Observation d4373be9-7163-424e-9258-2d6676fb1552 · outbound

This paper cites Towards intent-based con- figuration for network function virtualization using in-context learning in large language models,.

LAMeTA: Intent-Aware Agentic Network Optimization via a Large AI Model-Empowered Two-Stage Approach Towards intent-based con- figuration for network function virtualization using in-context learning in large language models,

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:42:57.818485Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:42:57.191344Z digest=sha256:3e446825cb3ff1820684179fcb93f34e69640221a291efd65ea45d7112252fae

Observation 52b4cdf8-7fa6-46c0-8fb1-530f33be8d98 · outbound

This paper cites GIA: LLM-enabled generative intent abstraction to enhance adaptability for intent-driven networks,.

LAMeTA: Intent-Aware Agentic Network Optimization via a Large AI Model-Empowered Two-Stage Approach GIA: LLM-enabled generative intent abstraction to enhance adaptability for intent-driven networks,

Reference 20

Resolution
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raw_fallback, observed 2026-08-15T20:42:57.805105Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:42:57.195064Z digest=sha256:5a24e47a7dc71e2a400a5b6f1ed6f3d11f62f47238cd51fe5f5496a97b46988e

Observation 898c5501-80ec-450b-b289-484257f0decf · outbound

This paper cites Large language models for zero touch network configuration management,.

LAMeTA: Intent-Aware Agentic Network Optimization via a Large AI Model-Empowered Two-Stage Approach Large language models for zero touch network configuration management,

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:42:57.787902Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:42:57.199612Z digest=sha256:6a32606f70f1a9051f55f7249de9609cf0b85e6b2a83b8e886b985c8b0853e54

Observation e6e2be3d-1c97-4d7b-a711-a3d5bab2e439 · outbound

This paper cites Llm-based policy generation for intent-based management of applications,.

LAMeTA: Intent-Aware Agentic Network Optimization via a Large AI Model-Empowered Two-Stage Approach Llm-based policy generation for intent-based management of applications,

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:42:57.772784Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:42:57.204020Z digest=sha256:cb2a8e002bbaf8eb09b47d06ee0aa5534df24284211c3583597b9eb7c0ef9e2f

Observation a5703c2b-c8c6-494f-b700-eb1a9dc4cd0f · outbound

This paper cites LLM-based intent processing and network opti- mization using attention-based hierarchical reinforcement learning,.

LAMeTA: Intent-Aware Agentic Network Optimization via a Large AI Model-Empowered Two-Stage Approach LLM-based intent processing and network opti- mization using attention-based hierarchical reinforcement learning,

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:42:57.758121Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:42:57.208742Z digest=sha256:038faebf93b5ef1051a322ed51eca5a7066a798046855f47fced644d4a86181b

Observation c059a976-cb71-4ae8-b418-d3e8e093f514 · outbound

This paper cites A survey on intelligent network operations and perfor- mance optimization based on large language models,.

LAMeTA: Intent-Aware Agentic Network Optimization via a Large AI Model-Empowered Two-Stage Approach A survey on intelligent network operations and perfor- mance optimization based on large language models,

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:42:57.743416Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:42:57.213140Z digest=sha256:bdce14438e83c52eb489f3c1af33cd941a3597f7ffee2cbb8bf8c6760fb50e22

Observation 4489efd4-a562-41ad-b328-9de762435a03 · outbound

This paper cites Large language model (LLM) for telecommunications: A comprehensive survey on principles, key techniques, and opportuni- ties,.

LAMeTA: Intent-Aware Agentic Network Optimization via a Large AI Model-Empowered Two-Stage Approach Large language model (LLM) for telecommunications: A comprehensive survey on principles, key techniques, and opportuni- ties,

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:42:57.729731Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:42:57.217461Z digest=sha256:b93289118cd7136333482b3f3509a17b5e0cc31c5340e83e0e4a130bada1c801

Observation 4932d2bb-647d-4527-b527-e23af6a617ad · outbound

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

LAMeTA: Intent-Aware Agentic Network Optimization via a Large AI Model-Empowered Two-Stage Approach Large language model-based wireless network design,

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:42:57.715316Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:42:57.221928Z digest=sha256:480d15f5c6cd549e77d6e13ee736ee6e1d0bca398b45bc7f4ab10eda9d188109

Observation d588f04f-04f7-4080-91f5-8894054918ec · outbound

This paper cites LLM-Empowered Resource Allocation in Wireless Communications Systems.

LAMeTA: Intent-Aware Agentic Network Optimization via a Large AI Model-Empowered Two-Stage Approach LLM-Empowered Resource Allocation in Wireless Communications Systems

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-15T20:42:57.226253Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:42:57.226253Z digest=sha256:97ec8b600ab244f8889e2fb24043b97b04a74eae291d872a175e386829db2a91

Observation 1913b01b-9447-4019-9428-e66a48639f20 · outbound

This paper cites Large Language Model (LLM)-enabled In-context Learning for Wireless Network Optimization: A Case Study of Power Control.

LAMeTA: Intent-Aware Agentic Network Optimization via a Large AI Model-Empowered Two-Stage Approach Large Language Model (LLM)-enabled In-context Learning for Wireless Network Optimization: A Case Study of Power Control

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-15T20:42:57.231230Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:42:57.231230Z digest=sha256:b92a8078fbb0c0e53357d565ecb92c2eb3e00b820153ac35de0a1ccd481a2460

Observation 59334568-6a08-4f91-ac65-2f7f43032dba · outbound

This paper cites Mobile-LLaMA: Instruction fine-tuning open-source LLM for network analysis in 5G networks,.

LAMeTA: Intent-Aware Agentic Network Optimization via a Large AI Model-Empowered Two-Stage Approach Mobile-LLaMA: Instruction fine-tuning open-source LLM for network analysis in 5G networks,

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:42:57.701196Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:42:57.235790Z digest=sha256:5d6ba51a8f47486e6a56e21840cfc137fbfafd9344cfdd8ff3f172e4d5820a84

Observation 7ff9a135-40d6-4d6f-bc2f-78fc0857f601 · outbound

This paper cites Large language models for networking: Applications, enabling techniques, and challenges,.

LAMeTA: Intent-Aware Agentic Network Optimization via a Large AI Model-Empowered Two-Stage Approach Large language models for networking: Applications, enabling techniques, and challenges,

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:42:57.685590Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:42:57.240414Z digest=sha256:1b83bfb5f8cc40a0ef21973d45865d25a05377364e8bd292da704ba9d3e6bd9a

Observation 883bd5cb-14f8-498a-959b-8e6017b15850 · outbound

This paper cites Energy efficiency maximization in RIS-assisted SWIPT networks with RSMA: A PPO-based approach,.

LAMeTA: Intent-Aware Agentic Network Optimization via a Large AI Model-Empowered Two-Stage Approach Energy efficiency maximization in RIS-assisted SWIPT networks with RSMA: A PPO-based approach,

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:42:57.669844Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:42:57.245122Z digest=sha256:6d90b518567b031caa8f67547c35b345ae614f0a1f6a9b5de0cb528671addfbd

Observation ffb28829-9a6e-486c-be1e-6bf5637b3640 · outbound

This paper cites Training compute-optimal large language models,.

LAMeTA: Intent-Aware Agentic Network Optimization via a Large AI Model-Empowered Two-Stage Approach Training compute-optimal large language models,

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:42:57.655583Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:42:57.251260Z digest=sha256:cdf987ce16a170e6ecfda1523ca4d633f82a825a93adc532fc24bf993fd9d9e4

Observation 2bb1b819-3e27-40e6-a559-98b3a580c00d · outbound

This paper cites New exact closed-form PDF of the sum of Nakagami-m random variables with applications,.

LAMeTA: Intent-Aware Agentic Network Optimization via a Large AI Model-Empowered Two-Stage Approach New exact closed-form PDF of the sum of Nakagami-m random variables with applications,

Reference 33

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verified fuzzy
raw_fallback, observed 2026-08-15T20:42:57.641371Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:42:57.255788Z digest=sha256:ab4d5c7d5f330a0094ebe4b522249f2c46247d00281ae38863981c4808433082

Observation 3c7306ef-f449-428e-b151-21f4d06140b5 · outbound

This paper cites An M/G/1 queue with second optional service and server breakdowns,.

LAMeTA: Intent-Aware Agentic Network Optimization via a Large AI Model-Empowered Two-Stage Approach An M/G/1 queue with second optional service and server breakdowns,

Reference 34

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verified fuzzy
raw_fallback, observed 2026-08-15T20:42:57.624979Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:42:57.260245Z digest=sha256:cfada6933138e91d99aad44baa491e0276021551e5ff7df3ad228948f1ccfd5f

Observation db112c04-384f-44b1-ac8d-047bcc681e73 · outbound

This paper cites Attention-aware resource allocation and QoE analysis for metaverse xURLLC services,.

LAMeTA: Intent-Aware Agentic Network Optimization via a Large AI Model-Empowered Two-Stage Approach Attention-aware resource allocation and QoE analysis for metaverse xURLLC services,

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:42:57.609969Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:42:57.264936Z digest=sha256:96ffa92b776bda9b9ce7db7904030c9308facf6998cccd40791edb140c627e7e

Observation 13595288-f8ad-4c52-9105-8dd3e3006940 · outbound

This paper cites Sentence-BERT: Sentence embeddings using siamese bert-networks,.

LAMeTA: Intent-Aware Agentic Network Optimization via a Large AI Model-Empowered Two-Stage Approach Sentence-BERT: Sentence embeddings using siamese bert-networks,

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:42:57.593635Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:42:57.269706Z digest=sha256:c396255284c2e259febf7fef319c8d4e64d5d6b48c252b69111dd213289d0d9c

Observation d6308680-92e3-4038-9a92-c5091942359e · outbound

This paper cites Direct preference optimization: Your language model is secretly a reward model,.

LAMeTA: Intent-Aware Agentic Network Optimization via a Large AI Model-Empowered Two-Stage Approach Direct preference optimization: Your language model is secretly a reward model,

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:42:57.577058Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:42:57.274145Z digest=sha256:216714260cefc2c6bbe9ea9e39d8c77823c61691d304b305d8f36f65926cc244

Observation ff072e99-8850-4a9f-b189-03b742cb0e5e · outbound

This paper cites G-MLP: Graph multi-layer perceptron for node classi- fication using contrastive learning,.

LAMeTA: Intent-Aware Agentic Network Optimization via a Large AI Model-Empowered Two-Stage Approach G-MLP: Graph multi-layer perceptron for node classi- fication using contrastive learning,

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:42:57.561243Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:42:57.278547Z digest=sha256:5bff47ea6cbf0662bb3e3b597ff4ba629db42ab796b1a7e6c83cbdb8d3a23f6a

Pith citing papers

Observation 09daa8c1-9ec1-4f02-9011-fa461c45b3e4 · inbound

Recovery of UAV Swarm-enabled Collaborative Beamforming in Low-altitude Wireless Networks under Wind Field Disturbances cites this paper.

Recovery of UAV Swarm-enabled Collaborative Beamforming in Low-altitude Wireless Networks under Wind Field Disturbances LAMeTA: Intent-Aware Agentic Network Optimization via a Large AI Model-Empowered Two-Stage Approach

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-06T18:24:55.178142Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:24:55.178142Z digest=sha256:699934cbb3c27693ae9dabdbc8bb544b26336849953437a9b21c01a78cd13039

Observation ad22eb48-7317-402e-a93f-44cb779558f2 · inbound

Toward Edge General Intelligence with Agentic AI and Agentification: Concepts, Technologies, and Future Directions cites this paper.

Toward Edge General Intelligence with Agentic AI and Agentification: Concepts, Technologies, and Future Directions LAMeTA: Intent-Aware Agentic Network Optimization via a Large AI Model-Empowered Two-Stage Approach

Reference 243

Resolution
unresolved
no resolver link, observed 2026-08-05T16:21:00.433898Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T16:21:00.433898Z digest=sha256:150403f89c85d2635fba010e139a5a34fbabb9a7e63301bbf1f012ce7cacfc1c

Observation 5ae5beac-4b31-46af-a9fb-63b4ed7f14a3 · inbound

Large Language Models for Next-Generation Wireless Network Management: A Survey and Tutorial cites this paper.

Large Language Models for Next-Generation Wireless Network Management: A Survey and Tutorial LAMeTA: Intent-Aware Agentic Network Optimization via a Large AI Model-Empowered Two-Stage Approach

Reference 157

Resolution
unresolved
no resolver link, observed 2026-08-05T04:50:32.095449Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T04:50:32.095449Z digest=sha256:55fd5a3a93205c391e22fa5ac48166d3723750e6db82abd135866fff798fa653

Observation 918efa22-2e2f-423c-8436-e3d7727efb1c · inbound

AI Reasoning for Wireless Communications and Networking: A Survey and Perspectives cites this paper.

AI Reasoning for Wireless Communications and Networking: A Survey and Perspectives LAMeTA: Intent-Aware Agentic Network Optimization via a Large AI Model-Empowered Two-Stage Approach

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-04T19:34:26.918415Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T19:34:26.918415Z digest=sha256:9fbd19acb043ba1d56435ed10464d1050bd4dc2ce50fe3d19d8ca0fdfd2c292f

Observation 7c57dd92-7a2f-464d-bbcc-7f781963ad4e · inbound

A Tutorial on Cognitive Biases in Agentic AI-Driven 6G Autonomous Networks cites this paper.

A Tutorial on Cognitive Biases in Agentic AI-Driven 6G Autonomous Networks LAMeTA: Intent-Aware Agentic Network Optimization via a Large AI Model-Empowered Two-Stage Approach

Reference 25

Resolution
verified exact
arxiv_id, observed 2026-05-18T04:30:53.198969Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-05-18T04:27:34.419909Z digest=sha256:e759061cb0b6462537a96c4ed58c54569a519ce14975c0cba641f43d598ca7a0

Observation c661cdec-fb5d-4aa0-a707-c7ef3b3825b0 · inbound

Generative Intent Prediction Agentic AI empowered Edge Service Function Chain Orchestration cites this paper.

Generative Intent Prediction Agentic AI empowered Edge Service Function Chain Orchestration LAMeTA: Intent-Aware Agentic Network Optimization via a Large AI Model-Empowered Two-Stage Approach

Reference 22

Resolution
verified exact
arxiv_id, observed 2026-05-16T13:00:55.009849Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-05-16T12:58:09.641156Z digest=sha256:78dc96110d5df3c6c4f3f462a9de561f1b0665172c35337629538e6eddfb7dc6

Observation 6f1bff10-d13f-4ca4-beb3-84bfcbaa8d7a · inbound

Secure Intellicise Wireless Network: Agentic AI for Coverless Semantic Steganography Communication cites this paper.

Secure Intellicise Wireless Network: Agentic AI for Coverless Semantic Steganography Communication LAMeTA: Intent-Aware Agentic Network Optimization via a Large AI Model-Empowered Two-Stage Approach

Reference 44

Resolution
verified exact
arxiv_id, observed 2026-05-16T12:37:53.372480Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-05-16T12:33:06.117387Z digest=sha256:c535314469606d52bc879213447b3957ceb618052e83bed90031253f8fa02b9d