Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-06-30T17:24:08.983966Z
Paper Citation Record · LEDGER
$E^3$-Agent: An Executable and Evolving Agent for Resource Management of Edge Generative Inference
As of 6 August 2026, this Paper Citation Record lists 27 of 27 outbound references and 0 inbound Pith citation observations for arXiv:2605.27428.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
27 of 27 outbound references displayed
- verified exact2
- verified fuzzy25
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 2ec55af0-2470-4391-a2d3-e3dbb6a06faf · outbound
This paper cites write newline.
$E^3$-Agent: An Executable and Evolving Agent for Resource Management of Edge Generative Inference write newline
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-08T09:04:47.189731Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 79f8afcc-bc71-4422-9c7a-1aa5ebe2d874 · outbound
This paper cites Burstgpt: A real-world workload dataset to optimize llm serving systems.
$E^3$-Agent: An Executable and Evolving Agent for Resource Management of Edge Generative Inference Burstgpt: A real-world workload dataset to optimize llm serving systems
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-08T09:04:47.193734Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 13444731-0966-4c2b-a7b9-90d00a98c574 · outbound
This paper cites Efficient memory management for large language model serving with pagedattention.
$E^3$-Agent: An Executable and Evolving Agent for Resource Management of Edge Generative Inference Efficient memory management for large language model serving with pagedattention
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-08T09:04:47.196407Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 3d7a2561-1d50-468c-a395-fa0bf52489fe · outbound
This paper cites Communications, caching, and computing for mobile virtual reality: Modeling and tradeoff.
$E^3$-Agent: An Executable and Evolving Agent for Resource Management of Edge Generative Inference Communications, caching, and computing for mobile virtual reality: Modeling and tradeoff
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-08T09:04:47.187396Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation e53de2c4-ca57-47a1-bd11-5c52cb910767 · outbound
This paper cites Wireless multi-user interactive virtual reality in metaverse with edge-device collaborative computing.
$E^3$-Agent: An Executable and Evolving Agent for Resource Management of Edge Generative Inference Wireless multi-user interactive virtual reality in metaverse with edge-device collaborative computing
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-08T09:04:47.200789Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation ede5a607-6886-4b25-abf2-34e47eced676 · outbound
This paper cites Overview of ai and communication for 6g network: fundamentals, challenges, and future research opportunities.
$E^3$-Agent: An Executable and Evolving Agent for Resource Management of Edge Generative Inference Overview of ai and communication for 6g network: fundamentals, challenges, and future research opportunities
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-08T09:04:47.184666Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 94b1154f-9f6b-4a6d-befb-d1874296c989 · outbound
This paper cites When ai meets sustainable 6g.
$E^3$-Agent: An Executable and Evolving Agent for Resource Management of Edge Generative Inference When ai meets sustainable 6g
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-08T09:04:47.181903Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation aeb0722c-05fb-46f4-ab90-bb1c79a25f0b · outbound
This paper cites Towards wireless native big ai model: the mission and approach differ from large language model.
$E^3$-Agent: An Executable and Evolving Agent for Resource Management of Edge Generative Inference Towards wireless native big ai model: the mission and approach differ from large language model
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-08T09:04:47.155419Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 16f8e5f2-f3bc-48de-8711-aaf627d4a156 · outbound
This paper cites A comprehensive survey on reinforcement-learning-based computation offloading techniques in edge computing systems.
$E^3$-Agent: An Executable and Evolving Agent for Resource Management of Edge Generative Inference A comprehensive survey on reinforcement-learning-based computation offloading techniques in edge computing systems
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-08T09:04:47.151922Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 2c81a50b-01c4-4c2f-b2c3-2d13d92bf7bd · outbound
This paper cites A self-supervised deep reinforcement learning for zero-shot task scheduling in mobile edge computing environments.
$E^3$-Agent: An Executable and Evolving Agent for Resource Management of Edge Generative Inference A self-supervised deep reinforcement learning for zero-shot task scheduling in mobile edge computing environments
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-08T09:04:47.140822Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 0b7936ad-18f7-48d0-8941-9f808a5fd90f · outbound
This paper cites Parrot: Efficient serving of LLM-based applications with semantic variable.
$E^3$-Agent: An Executable and Evolving Agent for Resource Management of Edge Generative Inference Parrot: Efficient serving of LLM-based applications with semantic variable
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-08T09:04:47.148132Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 2b689f9d-845a-447d-ae55-17f0c20107f2 · outbound
This paper cites Hybrid sd: Edge-cloud collaborative inference for stable diffusion models, 2024.
$E^3$-Agent: An Executable and Evolving Agent for Resource Management of Edge Generative Inference Hybrid sd: Edge-cloud collaborative inference for stable diffusion models, 2024
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-08T09:04:47.158956Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation fbe4ec22-4073-4035-8cfd-ae309c0c4dc1 · outbound
This paper cites Telecom foundation models: Applications, challenges, and future trends, 2024.
$E^3$-Agent: An Executable and Evolving Agent for Resource Management of Edge Generative Inference Telecom foundation models: Applications, challenges, and future trends, 2024
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-08T09:04:47.166919Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation ee273a91-dea5-4858-93ec-e12c2fc168ea · outbound
This paper cites A comprehensive survey on llm-based network management and operations.
$E^3$-Agent: An Executable and Evolving Agent for Resource Management of Edge Generative Inference A comprehensive survey on llm-based network management and operations
Reference 14
- Resolution
- verified exact
- doi, observed 2026-06-30T17:24:56.387055Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 7d1725b1-262d-4fce-93d7-ba7b75a6c3dc · outbound
This paper cites Leveraging generative ai for intent-based networking operations in network slices.
$E^3$-Agent: An Executable and Evolving Agent for Resource Management of Edge Generative Inference Leveraging generative ai for intent-based networking operations in network slices
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-08T09:04:47.170164Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 1e98bc44-e166-4328-b8b3-706bd9835e9a · outbound
This paper cites Scnoc-agentic: A network operation and control agentic for satellite communication systems.
$E^3$-Agent: An Executable and Evolving Agent for Resource Management of Edge Generative Inference Scnoc-agentic: A network operation and control agentic for satellite communication systems
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-08T09:04:47.173038Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 1922d068-5d11-43c1-a4a0-9c1992ef6b93 · outbound
This paper cites Exploring llm-based multi-agent situation awareness for zero-trust space-air-ground integrated network.
$E^3$-Agent: An Executable and Evolving Agent for Resource Management of Edge Generative Inference Exploring llm-based multi-agent situation awareness for zero-trust space-air-ground integrated network
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-08T09:04:47.203696Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 702c22c6-8b25-4bc4-8a88-fbef87754b22 · outbound
This paper cites Edge agentic ai framework for autonomous network optimisation in o-ran, 2025.
$E^3$-Agent: An Executable and Evolving Agent for Resource Management of Edge Generative Inference Edge agentic ai framework for autonomous network optimisation in o-ran, 2025
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-08T09:04:47.116994Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation c0d78106-b018-4bf0-8ed0-dc76d9de88b1 · outbound
This paper cites Reinforcement learning, rule-based, or generative ai: a comparison of model-free wi-fi slicing approaches.
$E^3$-Agent: An Executable and Evolving Agent for Resource Management of Edge Generative Inference Reinforcement learning, rule-based, or generative ai: a comparison of model-free wi-fi slicing approaches
Reference 19
- Resolution
- verified exact
- arxiv_id, observed 2026-06-30T17:24:56.387181Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 70755904-c4e4-4ef5-90c6-9d00474560bf · outbound
This paper cites Learning multi-access point coordination in agentic ai wi-fi with large language models, 2025.
$E^3$-Agent: An Executable and Evolving Agent for Resource Management of Edge Generative Inference Learning multi-access point coordination in agentic ai wi-fi with large language models, 2025
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-08T09:04:47.136969Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 268ea39d-fd48-441b-805a-83a2fd030282 · outbound
This paper cites From large ai models to agentic ai: A tutorial on future intelligent communications, 2025.
$E^3$-Agent: An Executable and Evolving Agent for Resource Management of Edge Generative Inference From large ai models to agentic ai: A tutorial on future intelligent communications, 2025
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-08T09:04:47.106571Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation a2d1455f-04f9-4f00-bae1-c585ca66dd5b · outbound
This paper cites React: Synergizing reasoning and acting in language models.
$E^3$-Agent: An Executable and Evolving Agent for Resource Management of Edge Generative Inference React: Synergizing reasoning and acting in language models
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-08T09:04:47.113436Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 4dd78ef3-f447-4529-816e-085c6ab0b410 · outbound
This paper cites Swe-agent: Agent-computer interfaces enable automated software engineering.
$E^3$-Agent: An Executable and Evolving Agent for Resource Management of Edge Generative Inference Swe-agent: Agent-computer interfaces enable automated software engineering
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-08T09:04:47.109882Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 18400878-11cd-4c8f-ab6f-de8b376a5757 · outbound
This paper cites Llm-augmented hierarchical reinforcement learning for human-like decision-making of autonomous driving.
$E^3$-Agent: An Executable and Evolving Agent for Resource Management of Edge Generative Inference Llm-augmented hierarchical reinforcement learning for human-like decision-making of autonomous driving
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-08T09:04:47.128721Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 278fe333-2959-4d84-8515-3b82dfcf3c7c · outbound
This paper cites Mlperf inference benchmark.
$E^3$-Agent: An Executable and Evolving Agent for Resource Management of Edge Generative Inference Mlperf inference benchmark
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-08T09:04:47.132989Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 001a0aa7-0575-40bc-ac7f-66d7e316dd97 · outbound
This paper cites \ DistServe \ : Disaggregating prefill and decoding for goodput-optimized large language model serving.
$E^3$-Agent: An Executable and Evolving Agent for Resource Management of Edge Generative Inference \ DistServe \ : Disaggregating prefill and decoding for goodput-optimized large language model serving
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-08T09:04:47.120369Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 1c5dfa64-8a65-49fa-8fd1-774e6d0f9082 · outbound
This paper cites SDXL : Improving latent diffusion models for high-resolution image synthesis.
$E^3$-Agent: An Executable and Evolving Agent for Resource Management of Edge Generative Inference SDXL : Improving latent diffusion models for high-resolution image synthesis
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-08T09:04:47.176036Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Pith citing papers
No inbound Pith citation observations are available.