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Paper Citation Record · LEDGER

Adaptive Contextual Caching for Mobile Edge Large Language Model Service

As of 11 August 2026, this Paper Citation Record lists 15 of 15 outbound references and 2 inbound Pith citation observations for arXiv:2501.09383.

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

pith.paper-citation-record.v1
2501.09383 v1

Coverage vector

measured 15 of 15 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T20:09:37.576999Z

measured 17 of 17 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T19:34:26.238756Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-17T04:19:00.427598Z

Reference resolution

15 of 15 outbound references displayed

  • verified exact2
  • verified fuzzy5
  • unresolved8
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 97069bd8-6959-410c-adb2-0cce29ac3998 · outbound

This paper cites Mobile Edge Intelligence for Large Language Models: A Contemporary Survey.

Adaptive Contextual Caching for Mobile Edge Large Language Model Service Mobile Edge Intelligence for Large Language Models: A Contemporary Survey

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-10T20:09:37.505375Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:09:37.505375Z digest=sha256:55c010bb006cf71004746c63af81d19603dd1fdeac2fb47fa14c693632c4f53f

Observation 4e638bb5-b3d3-44e6-a072-bd7929720bfe · outbound

This paper cites STaRK: Benchmarking LLM Retrieval on Textual and Relational Knowledge Bases.

Adaptive Contextual Caching for Mobile Edge Large Language Model Service STaRK: Benchmarking LLM Retrieval on Textual and Relational Knowledge Bases

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-10T20:09:37.511037Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:09:37.511037Z digest=sha256:2e2a3e5a1baff089f5a11480ea24633e3b93f091258fef4303e9a2dfff20994b

Observation e1d08de6-609f-4f27-bb18-a77c91f96b21 · outbound

This paper cites RAGCache: Efficient Knowledge Caching for Retrieval-Augmented Generation.

Adaptive Contextual Caching for Mobile Edge Large Language Model Service RAGCache: Efficient Knowledge Caching for Retrieval-Augmented Generation

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-10T20:09:37.516257Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:09:37.516257Z digest=sha256:2f87c46d5e5140c2231970b4d1b6cfe996b3878e77385714ebb852ded93d1877

Observation b11f059b-555b-4356-bb4f-876a6980be93 · outbound

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

Adaptive Contextual Caching for Mobile Edge Large Language Model Service LLM-dCache: Improving Tool-Augmented LLMs with GPT-Driven Localized Data Caching

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-10T20:09:37.521241Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:09:37.521241Z digest=sha256:ca70de763e4e81d90028266571615f80cd9ff8a7f41d5d826aa73bae9dfeb8de

Observation ff1d386d-b5ad-4210-baf6-7a4e26e9e951 · outbound

This paper cites Gptcache: An open-source semantic cache for llm applications enabling faster answers and cost savings,.

Adaptive Contextual Caching for Mobile Edge Large Language Model Service Gptcache: An open-source semantic cache for llm applications enabling faster answers and cost savings,

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:09:37.827907Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T20:09:37.526642Z digest=sha256:68adeb2844700bb6e4b840564645cf3e816f59ac137df88b62b495a809da37ea

Observation 73d87f0d-e24e-48a0-ac60-e82eb7f71500 · outbound

This paper cites Context-augmented Retrieval: A Novel Framework for Fast Information Retrieval based Response Generation using Large Language Model.

Adaptive Contextual Caching for Mobile Edge Large Language Model Service Context-augmented Retrieval: A Novel Framework for Fast Information Retrieval based Response Generation using Large Language Model

Reference 6

Resolution
verified exact
local_arxiv, observed 2026-08-10T20:09:37.658902Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T20:09:37.531520Z digest=sha256:f328cdf0950875b17ee7f6a12e65efdc2939b8d97d71d2d7b34d060678dddf75

Observation dce58bbd-e268-43d1-851e-72e5e8938a79 · outbound

This paper cites Nscaching: simple and efficient negative sampling for knowledge graph embedding,.

Adaptive Contextual Caching for Mobile Edge Large Language Model Service Nscaching: simple and efficient negative sampling for knowledge graph embedding,

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-10T20:09:37.537051Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:09:37.537051Z digest=sha256:a4d818c685c8982386c581571e32cd1345baf1c72f8535f43c076caf32c83cbb

Observation 512fcc2a-f74c-4122-9e63-95ef24bd2482 · outbound

This paper cites Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks.

Adaptive Contextual Caching for Mobile Edge Large Language Model Service Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-10T20:09:37.542268Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:09:37.542268Z digest=sha256:8ecedacbd1875fc790ec9ea246db6feb71b88fa4874931a29051215ac9000220

Observation f4195aca-4877-47c6-9bc1-ea96e9085127 · outbound

This paper cites Efficient and robust approxi- mate nearest neighbor search using hierarchical navigable small world graphs,.

Adaptive Contextual Caching for Mobile Edge Large Language Model Service Efficient and robust approxi- mate nearest neighbor search using hierarchical navigable small world graphs,

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:09:37.802120Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T20:09:37.547989Z digest=sha256:edbca8f9067c8d1fbb84ff42a073b9f884a29db44b21909ca93931d2d4bc22e4

Observation 2fa9058f-57fc-44a5-92ee-cf834a7b4597 · outbound

This paper cites Accelerating large-scale inference with anisotropic vec- tor quantization,.

Adaptive Contextual Caching for Mobile Edge Large Language Model Service Accelerating large-scale inference with anisotropic vec- tor quantization,

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:09:37.786327Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T20:09:37.553459Z digest=sha256:918a0379ad4ecb23df5b55aa1721a96a43c454aa8339525f613382ddafded58f

Observation b6ad83ad-87dd-4356-bf83-adf5b5a8871b · outbound

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

Adaptive Contextual Caching for Mobile Edge Large Language Model Service Deepcache: A deep learning based framework for content caching,

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-10T20:09:37.558152Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:09:37.558152Z digest=sha256:d04af307a6aa610864f901edf5a76fa6a340de1f9b7fda79fbd7c8a0173a7298

Observation 6911b8ea-21df-4680-ae96-c12dcad984dc · outbound

This paper cites Edge caching based on deep reinforcement learning,.

Adaptive Contextual Caching for Mobile Edge Large Language Model Service Edge caching based on deep reinforcement learning,

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:09:37.761511Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T20:09:37.562965Z digest=sha256:ea7f8d7a3fa8d8bb0eadc7310498f6669e7b083401507798632401f2f8432381

Observation e06ae0d6-93c8-4749-aeb2-53c815e5f442 · outbound

This paper cites A knowledge graph-based cooperative caching scheme in mec-enabled heterogeneous networks,.

Adaptive Contextual Caching for Mobile Edge Large Language Model Service A knowledge graph-based cooperative caching scheme in mec-enabled heterogeneous networks,

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:09:37.746124Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T20:09:37.567662Z digest=sha256:742a5a20aedcb049d0f2e2f45fb95b664267e6231567839fd0ec67784ec89e10

Observation bf4090a2-1458-491c-ab48-af963b5e6c46 · outbound

This paper cites Minilm: Deep self-attention distillation for task-agnostic compression of pre- trained transformers,.

Adaptive Contextual Caching for Mobile Edge Large Language Model Service Minilm: Deep self-attention distillation for task-agnostic compression of pre- trained transformers,

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-10T20:09:37.572618Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:09:37.572618Z digest=sha256:69ceb49251faaf760f8b76e2ae223c8fbd4c3a15faf2c4bf3d3d2034e0d217c3

Observation 358093db-8744-45af-8509-264818afe944 · outbound

This paper cites Generative Cross-Modal Retrieval: Memorizing Images in Multimodal Language Models for Retrieval and Beyond.

Adaptive Contextual Caching for Mobile Edge Large Language Model Service Generative Cross-Modal Retrieval: Memorizing Images in Multimodal Language Models for Retrieval and Beyond

Reference 15

Resolution
verified exact
local_arxiv, observed 2026-08-10T20:09:37.619283Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T20:09:37.576999Z digest=sha256:e7820272c7be4e9fec5fa7fd20ef41b26d759f30a54ae3b3d5370172a2153212

Pith citing papers

Observation 19a81a06-bc0a-4621-8872-beffd704d783 · 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 Adaptive Contextual Caching for Mobile Edge Large Language Model Service

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-04T19:34:26.238756Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T19:34:26.238756Z digest=sha256:01f9782cd14657243f086702cdd768f0fc695f9a6819d17b704981c0452e1a74

Observation 3bcbec19-f03f-40bb-9be8-433f3f4194e5 · inbound

DisCEdge: Distributed Context Management for Large Language Models at the Edge cites this paper.

DisCEdge: Distributed Context Management for Large Language Models at the Edge Adaptive Contextual Caching for Mobile Edge Large Language Model Service

Reference 22

Resolution
verified exact
arxiv_id, observed 2026-05-17T04:19:00.431019Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-17T04:17:31.955480Z digest=sha256:66b4e44d793f60dcde1ac4bbfa41841d7fad4aaed669ddc21d1edea3f4377869