Paper Citation Record · LEDGER

Serving Long-Context LLMs at the Mobile Edge: Test-Time Reinforcement Learning-based Model Caching and Inference Offloading

As of 12 August 2026, this Paper Citation Record lists 40 of 40 outbound references and 2 inbound Pith citation observations for arXiv:2501.14205.

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

pith.paper-citation-record.v1
2501.14205 v1

Coverage vector

measured 40 of 40 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T15:19:49.664592Z

measured 42 of 42 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-01T18:53:34.664986Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T16:58:42.766816Z

Reference resolution

40 of 40 outbound references displayed

verified exact2
verified fuzzy14
unresolved24
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d84a032f-a3d7-4da2-bffa-b46f63043aba · outbound

This paper cites When Large Language Model Agents Meet 6G Networks: Perception, Grounding, and Alignment.

Serving Long-Context LLMs at the Mobile Edge: Test-Time Reinforcement Learning-based Model Caching and Inference Offloading When Large Language Model Agents Meet 6G Networks: Perception, Grounding, and Alignment

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-10T15:19:49.515453Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 10c0479d-77f9-42de-b2dd-70ba141c59fe · outbound

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

Serving Long-Context LLMs at the Mobile Edge: Test-Time Reinforcement Learning-based Model Caching and Inference Offloading Language mod- els are few-shot learners,

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-10T15:19:49.519977Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ba4d54c5-4232-4607-8a4d-db3262dcc5e0 · outbound

This paper cites Sparks of Artificial General Intelligence: Early experiments with GPT-4.

Serving Long-Context LLMs at the Mobile Edge: Test-Time Reinforcement Learning-based Model Caching and Inference Offloading Sparks of Artificial General Intelligence: Early experiments with GPT-4

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-10T15:19:49.523574Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 07bcb665-a1fa-4fa8-bcd8-b820ba246c89 · outbound

This paper cites Large Language Model (LLM) for Telecommunications: A Comprehensive Survey on Principles, Key Techniques, and Opportunities.

Serving Long-Context LLMs at the Mobile Edge: Test-Time Reinforcement Learning-based Model Caching and Inference Offloading Large Language Model (LLM) for Telecommunications: A Comprehensive Survey on Principles, Key Techniques, and Opportunities

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-10T15:19:49.528250Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7f4ee1f1-789c-46ed-873a-0ec185a40574 · outbound

This paper cites The CAP Principle for LLM Serving: A Survey of Long-Context Large Language Model Serving.

Serving Long-Context LLMs at the Mobile Edge: Test-Time Reinforcement Learning-based Model Caching and Inference Offloading The CAP Principle for LLM Serving: A Survey of Long-Context Large Language Model Serving

Reference 5

Resolution: verified exact; local_arxiv, observed 2026-08-10T15:19:49.892687Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 324835ab-36ac-41f0-a772-95bd158246ae · outbound

This paper cites Galaxy: A Resource-Efficient Collaborative Edge AI System for In-situ Transformer Inference.

Serving Long-Context LLMs at the Mobile Edge: Test-Time Reinforcement Learning-based Model Caching and Inference Offloading Galaxy: A Resource-Efficient Collaborative Edge AI System for In-situ Transformer Inference

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-10T15:19:49.536634Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c30e738c-4fea-4cca-8947-4a9a28a11baa · outbound

This paper cites Retention-aware container caching for serverless edge computing,.

Serving Long-Context LLMs at the Mobile Edge: Test-Time Reinforcement Learning-based Model Caching and Inference Offloading Retention-aware container caching for serverless edge computing,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:19:50.120400Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation f5daf523-da96-4009-b6ea-729c2d61fe2e · outbound

This paper cites Cache- enabled federated learning systems,.

Serving Long-Context LLMs at the Mobile Edge: Test-Time Reinforcement Learning-based Model Caching and Inference Offloading Cache- enabled federated learning systems,

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-10T15:19:49.544636Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation be5ebe3d-bac9-4f38-9898-d668c14f884f · outbound

This paper cites Edgeadaptor: Online configuration adaption, model selection and re- source provisioning for edge dnn inference serving at scale,.

Serving Long-Context LLMs at the Mobile Edge: Test-Time Reinforcement Learning-based Model Caching and Inference Offloading Edgeadaptor: Online configuration adaption, model selection and re- source provisioning for edge dnn inference serving at scale,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:19:50.102086Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation bafd9c87-ef0f-48d7-a912-e7242e487e42 · outbound

This paper cites Cooperative service caching and workload scheduling in mobile edge computing,.

Serving Long-Context LLMs at the Mobile Edge: Test-Time Reinforcement Learning-based Model Caching and Inference Offloading Cooperative service caching and workload scheduling in mobile edge computing,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:19:50.091182Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 4f9d75c6-b1d1-42e9-8a1b-d87f9a6764be · outbound

This paper cites MemServe: Context Caching for Disaggregated LLM Serving with Elastic Memory Pool.

Serving Long-Context LLMs at the Mobile Edge: Test-Time Reinforcement Learning-based Model Caching and Inference Offloading MemServe: Context Caching for Disaggregated LLM Serving with Elastic Memory Pool

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-10T15:19:49.555305Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b926fd4d-4dd1-4781-bf88-329a2c568c07 · outbound

This paper cites LLM-dCache: Improving Tool-Augmented LLMs with GPT-Driven Localized Data Caching.

Serving Long-Context LLMs at the Mobile Edge: Test-Time Reinforcement Learning-based Model Caching and Inference Offloading LLM-dCache: Improving Tool-Augmented LLMs with GPT-Driven Localized Data Caching

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-10T15:19:49.560249Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5c5236eb-bcb1-4540-9a57-1cc26038a826 · outbound

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

Serving Long-Context LLMs at the Mobile Edge: Test-Time Reinforcement Learning-based Model Caching and Inference Offloading Chain-of-thought prompting elicits reasoning in large language models,

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-10T15:19:49.564040Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 705d8997-317d-498a-9e27-59e210c9deb9 · outbound

This paper cites Self-Consistency Improves Chain of Thought Reasoning in Language Models.

Serving Long-Context LLMs at the Mobile Edge: Test-Time Reinforcement Learning-based Model Caching and Inference Offloading Self-Consistency Improves Chain of Thought Reasoning in Language Models

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-10T15:19:49.567437Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c18bf34f-319d-459a-b120-e013e31636f6 · outbound

This paper cites Proximal Policy Optimization Algorithms.

Serving Long-Context LLMs at the Mobile Edge: Test-Time Reinforcement Learning-based Model Caching and Inference Offloading Proximal Policy Optimization Algorithms

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-10T15:19:49.571013Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0d234bdd-393a-4d3f-971b-85005cbf12ef · outbound

This paper cites Learning to (Learn at Test Time): RNNs with Expressive Hidden States.

Serving Long-Context LLMs at the Mobile Edge: Test-Time Reinforcement Learning-based Model Caching and Inference Offloading Learning to (Learn at Test Time): RNNs with Expressive Hidden States

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-10T15:19:49.574849Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dfe2d729-d1ce-43e7-80a6-73929e45fe0a · outbound

This paper cites Pushing Large Language Models to the 6G Edge: Vision, Challenges, and Opportunities.

Serving Long-Context LLMs at the Mobile Edge: Test-Time Reinforcement Learning-based Model Caching and Inference Offloading Pushing Large Language Models to the 6G Edge: Vision, Challenges, and Opportunities

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-10T15:19:49.578508Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3d87c17d-e2a4-4fdd-8215-d8abd3b885b2 · outbound

This paper cites PerLLM: Personalized Inference Scheduling with Edge-Cloud Collaboration for Diverse LLM Services.

Serving Long-Context LLMs at the Mobile Edge: Test-Time Reinforcement Learning-based Model Caching and Inference Offloading PerLLM: Personalized Inference Scheduling with Edge-Cloud Collaboration for Diverse LLM Services

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-10T15:19:49.582503Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 558a7db0-9503-4bee-8958-d1bb52c45b96 · outbound

This paper cites Titanic: Towards production federated learning with large language models,.

Serving Long-Context LLMs at the Mobile Edge: Test-Time Reinforcement Learning-based Model Caching and Inference Offloading Titanic: Towards production federated learning with large language models,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:19:50.073413Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation d75add3e-0cf4-4cfb-8a7d-7cfc7c88d351 · outbound

This paper cites Generative inference of large language models in edge computing: An energy efficient approach,.

Serving Long-Context LLMs at the Mobile Edge: Test-Time Reinforcement Learning-based Model Caching and Inference Offloading Generative inference of large language models in edge computing: An energy efficient approach,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:19:50.062046Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation ddf08fb1-3e2e-4b54-96ff-e77a2abb545e · outbound

This paper cites Two time-scale joint service caching and task offloading for uav-assisted mobile edge computing,.

Serving Long-Context LLMs at the Mobile Edge: Test-Time Reinforcement Learning-based Model Caching and Inference Offloading Two time-scale joint service caching and task offloading for uav-assisted mobile edge computing,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:19:50.051289Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 20ac9efd-3b09-4f68-b21c-f5e6764c2d81 · outbound

This paper cites TrimCaching: Parameter-sharing Edge Caching for AI Model Downloading.

Serving Long-Context LLMs at the Mobile Edge: Test-Time Reinforcement Learning-based Model Caching and Inference Offloading TrimCaching: Parameter-sharing Edge Caching for AI Model Downloading

Reference 22

Resolution: verified exact; local_arxiv, observed 2026-08-10T15:19:49.790517Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation c27acdd5-8e20-49ec-aa36-8258fa3e4b5e · outbound

This paper cites A3c-based computation offloading and service caching in cloud-edge computing networks,.

Serving Long-Context LLMs at the Mobile Edge: Test-Time Reinforcement Learning-based Model Caching and Inference Offloading A3c-based computation offloading and service caching in cloud-edge computing networks,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:19:50.040012Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation e482c0ba-9f64-42f9-ad97-5883a39ea08f · outbound

This paper cites Deepcache: A deep learning based framework for content caching,.

Serving Long-Context LLMs at the Mobile Edge: Test-Time Reinforcement Learning-based Model Caching and Inference Offloading Deepcache: A deep learning based framework for content caching,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:19:50.027327Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 73400278-8708-4782-9b07-d901433e05c5 · outbound

This paper cites Deep reinforcement learning-based computation offloading and distributed edge service caching for mobile edge computing,.

Serving Long-Context LLMs at the Mobile Edge: Test-Time Reinforcement Learning-based Model Caching and Inference Offloading Deep reinforcement learning-based computation offloading and distributed edge service caching for mobile edge computing,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:19:50.015269Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation d1b9ca53-b7dd-4cb3-ab6e-296d6691b3ad · outbound

This paper cites Neighboring- aware caching in heterogeneous edge networks by actor-attention-critic learning,.

Serving Long-Context LLMs at the Mobile Edge: Test-Time Reinforcement Learning-based Model Caching and Inference Offloading Neighboring- aware caching in heterogeneous edge networks by actor-attention-critic learning,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:19:50.000141Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation febaaaee-ece9-4f37-a2ca-6b25a529ef91 · outbound

This paper cites Cooperative task offloading and service caching for digital twin edge networks: A graph attention multi- agent reinforcement learning approach,.

Serving Long-Context LLMs at the Mobile Edge: Test-Time Reinforcement Learning-based Model Caching and Inference Offloading Cooperative task offloading and service caching for digital twin edge networks: A graph attention multi- agent reinforcement learning approach,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:19:49.984386Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 14ba85ae-987e-4d82-926f-cf3bb749626d · outbound

This paper cites Large language models (llms) inference offloading and resource allocation in cloud-edge com- puting: An active inference approach,.

Serving Long-Context LLMs at the Mobile Edge: Test-Time Reinforcement Learning-based Model Caching and Inference Offloading Large language models (llms) inference offloading and resource allocation in cloud-edge com- puting: An active inference approach,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:19:49.972042Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 4b35c3fb-0782-46ce-a0cc-d39fc95bd21c · outbound

This paper cites Are transformers universal approximators of sequence-to-sequence func- tions?.

Serving Long-Context LLMs at the Mobile Edge: Test-Time Reinforcement Learning-based Model Caching and Inference Offloading Are transformers universal approximators of sequence-to-sequence func- tions?

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:19:49.960600Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 39190684-d285-4a76-9702-86ce715496c3 · outbound

This paper cites Why Can Large Language Models Generate Correct Chain-of-Thoughts?.

Serving Long-Context LLMs at the Mobile Edge: Test-Time Reinforcement Learning-based Model Caching and Inference Offloading Why Can Large Language Models Generate Correct Chain-of-Thoughts?

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-10T15:19:49.624860Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1138a40f-56d7-45f9-aaa3-3df80e5f49cb · outbound

This paper cites A Latent Space Theory for Emergent Abilities in Large Language Models.

Serving Long-Context LLMs at the Mobile Edge: Test-Time Reinforcement Learning-based Model Caching and Inference Offloading A Latent Space Theory for Emergent Abilities in Large Language Models

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-10T15:19:49.628482Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7abc262e-0c74-49b5-b4b3-2dbab7d53f38 · outbound

This paper cites Cached Model-as-a-Resource: Provisioning Large Language Model Agents for Edge Intelligence in Space-air-ground Integrated Networks.

Serving Long-Context LLMs at the Mobile Edge: Test-Time Reinforcement Learning-based Model Caching and Inference Offloading Cached Model-as-a-Resource: Provisioning Large Language Model Agents for Edge Intelligence in Space-air-ground Integrated Networks

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-10T15:19:49.632041Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6bff87d8-a937-46a8-afd5-3eac5f51219f · outbound

This paper cites Imagebind: One embedding space to bind them all,.

Serving Long-Context LLMs at the Mobile Edge: Test-Time Reinforcement Learning-based Model Caching and Inference Offloading Imagebind: One embedding space to bind them all,

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-10T15:19:49.635629Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cb3af874-46ee-4c30-8ae5-3dc7885dc6b0 · outbound

This paper cites Solving General Arithmetic Word Problems.

Serving Long-Context LLMs at the Mobile Edge: Test-Time Reinforcement Learning-based Model Caching and Inference Offloading Solving General Arithmetic Word Problems

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-10T15:19:49.639218Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9625d1c3-274b-4f21-b68a-0c4480f8d821 · outbound

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

Serving Long-Context LLMs at the Mobile Edge: Test-Time Reinforcement Learning-based Model Caching and Inference Offloading Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-10T15:19:49.643307Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 77168914-eb45-40cd-8636-c0a7241f0c22 · outbound

This paper cites Did aristotle use a laptop? a question answering benchmark with implicit reasoning strategies,.

Serving Long-Context LLMs at the Mobile Edge: Test-Time Reinforcement Learning-based Model Caching and Inference Offloading Did aristotle use a laptop? a question answering benchmark with implicit reasoning strategies,

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-10T15:19:49.648085Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4b0c23f5-f14f-4c7a-9454-88602f16b0ba · outbound

This paper cites CommonsenseQA: A Question Answering Challenge Targeting Commonsense Knowledge.

Serving Long-Context LLMs at the Mobile Edge: Test-Time Reinforcement Learning-based Model Caching and Inference Offloading CommonsenseQA: A Question Answering Challenge Targeting Commonsense Knowledge

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-10T15:19:49.651683Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 81301fb8-5a9e-45f0-b363-1aa1c5868a03 · outbound

This paper cites Adversarial GLUE: A Multi-Task Benchmark for Robustness Evaluation of Language Models.

Serving Long-Context LLMs at the Mobile Edge: Test-Time Reinforcement Learning-based Model Caching and Inference Offloading Adversarial GLUE: A Multi-Task Benchmark for Robustness Evaluation of Language Models

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-10T15:19:49.656199Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 305919c9-70f4-428d-8177-f427c898aea5 · outbound

This paper cites Improve diverse text generation by self labeling conditional variational auto encoder,.

Serving Long-Context LLMs at the Mobile Edge: Test-Time Reinforcement Learning-based Model Caching and Inference Offloading Improve diverse text generation by self labeling conditional variational auto encoder,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:19:49.936143Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 7234443e-7d09-4bb8-b0cb-9494d4685cf6 · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

Serving Long-Context LLMs at the Mobile Edge: Test-Time Reinforcement Learning-based Model Caching and Inference Offloading Training Verifiers to Solve Math Word Problems

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-10T15:19:49.664592Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation e0444af8-1be3-4fcc-8942-70a4602b0f22 · inbound

The Price of Anarchy in Disaggregated Inference cites this paper.

The Price of Anarchy in Disaggregated Inference Serving Long-Context LLMs at the Mobile Edge: Test-Time Reinforcement Learning-based Model Caching and Inference Offloading

Reference 36

Resolution: verified exact; arxiv_id, observed 2026-07-03T16:58:42.768430Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation aae32842-d1be-4de0-846a-af0918afdbb6 · inbound

LMEdge: QoS-Aware LLM Inference Orchestration on Edge Clusters cites this paper.

LMEdge: QoS-Aware LLM Inference Orchestration on Edge Clusters Serving Long-Context LLMs at the Mobile Edge: Test-Time Reinforcement Learning-based Model Caching and Inference Offloading

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-01T18:53:34.664986Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.