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Paper Citation Record · LEDGER

Mobile Edge Intelligence for Large Language Models: A Contemporary Survey

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 16 inbound Pith citation observations for arXiv:2407.18921.

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

pith.paper-citation-record.v1
2407.18921 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 16 of 16 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 16 of 16 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T19:33:00.903216Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T03:22:28.141248Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation c532c541-0f7b-4254-b6c5-d585261d82b9 · inbound

BlueLM-V-3B: Algorithm and System Co-Design for Multimodal Large Language Models on Mobile Devices cites this paper.

BlueLM-V-3B: Algorithm and System Co-Design for Multimodal Large Language Models on Mobile Devices Mobile Edge Intelligence for Large Language Models: A Contemporary Survey

Reference 97

Resolution
unresolved
no resolver link, observed 2026-08-12T19:33:00.903216Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T19:33:00.903216Z digest=sha256:db7bb61fa295aa2b1a9c7a09b79aad8dbc076e11b3a26929893f609e7e4fa85c

Observation cf3bd194-6152-4015-ae41-1fabe9171e72 · inbound

CP-Guard: Malicious Agent Detection and Defense in Collaborative Bird's Eye View Perception cites this paper.

CP-Guard: Malicious Agent Detection and Defense in Collaborative Bird's Eye View Perception Mobile Edge Intelligence for Large Language Models: A Contemporary Survey

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-11T14:26:45.289252Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T14:26:45.289252Z digest=sha256:7684a75ce1f4724a07cd9ff2590cf5f658c188004f33ca12286923aca2b495c3

Observation cd56320c-7277-40dc-9bd6-70bbd6a2f293 · inbound

A Survey on Large Language Models for Communication, Network, and Service Management: Application Insights, Challenges, and Future Directions cites this paper.

A Survey on Large Language Models for Communication, Network, and Service Management: Application Insights, Challenges, and Future Directions Mobile Edge Intelligence for Large Language Models: A Contemporary Survey

Reference 2024

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unresolved
no resolver link, observed 2026-08-11T14:15:31.329325Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:15:31.329325Z digest=sha256:50ebccb993a628a9edfdc50f744a14dc68d08f3a0e88ead09b38047c6bf2cd88

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

Adaptive Contextual Caching for Mobile Edge Large Language Model Service cites this paper.

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

Reference 1

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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=sha256:3f713fe617889aa01e5a6f16342911d0265655167911d29abf28240e125da05d

Observation 74c06122-bf3a-4f29-aeb9-a4945c039624 · inbound

TAID: Temporally Adaptive Interpolated Distillation for Efficient Knowledge Transfer in Language Models cites this paper.

TAID: Temporally Adaptive Interpolated Distillation for Efficient Knowledge Transfer in Language Models Mobile Edge Intelligence for Large Language Models: A Contemporary Survey

Reference 1991

Resolution
unresolved
no resolver link, observed 2026-08-10T05:35:54.089634Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T05:35:54.089634Z digest=sha256:ec39d567e740b83769f7a409f2835a4378577611fe2c8e527de89f4b0960e368

Observation 7530a131-89a5-4de1-b794-08641b2ac8f1 · inbound

Offline Learning for Combinatorial Multi-armed Bandits cites this paper.

Offline Learning for Combinatorial Multi-armed Bandits Mobile Edge Intelligence for Large Language Models: A Contemporary Survey

Reference 2022

Resolution
unresolved
no resolver link, observed 2026-08-09T20:45:51.302066Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T20:45:51.302066Z digest=sha256:5ec917373e7f9fb6b28e09438e97361c486c473cd102de2a963e2d6e879e9946

Observation 832d8b4f-e7a8-4299-b585-38087151130c · inbound

Vision-Language Models for Edge Networks: A Comprehensive Survey cites this paper.

Vision-Language Models for Edge Networks: A Comprehensive Survey Mobile Edge Intelligence for Large Language Models: A Contemporary Survey

Reference 162

Resolution
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no resolver link, observed 2026-08-08T12:20:08.783432Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T12:20:08.783432Z digest=sha256:a3b9869266d256836cd1c6dbe34126ef30e1dc740901073622551cfc0e457a95

Observation f660f093-b257-448c-b549-4a27cb6e2981 · inbound

The MoE-Empowered Edge LLMs Deployment: Architecture, Challenges, and Opportunities cites this paper.

The MoE-Empowered Edge LLMs Deployment: Architecture, Challenges, and Opportunities Mobile Edge Intelligence for Large Language Models: A Contemporary Survey

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-08T05:19:35.760934Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T05:19:35.760934Z digest=sha256:8b18103fd0fb16be3dbc1aab7774b91f8b356bdccc11158765928133557befc2

Observation 486ba2fc-904b-4fe0-9596-c5b2b20f88ef · inbound

AIvaluateXR: An Evaluation Framework for on-Device AI in XR with Benchmarking Results cites this paper.

AIvaluateXR: An Evaluation Framework for on-Device AI in XR with Benchmarking Results Mobile Edge Intelligence for Large Language Models: A Contemporary Survey

Reference 42

Resolution
verified exact
arxiv_id, observed 2026-05-23T03:22:28.143102Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-23T03:18:44.070648Z digest=sha256:e8ad37cbdef189b64e32f29109d76a0a934c20c57910955ff1a2a0eaf914583f

Observation e478f63e-9aef-4c64-8a20-b3b57d5ac7ba · inbound

Fast and Cost-effective Speculative Edge-Cloud Decoding with Early Exits cites this paper.

Fast and Cost-effective Speculative Edge-Cloud Decoding with Early Exits Mobile Edge Intelligence for Large Language Models: A Contemporary Survey

Reference 16

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unresolved
no resolver link, observed 2026-08-07T13:40:17.435085Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:40:17.435085Z digest=sha256:5cdd8124264d9e43025367c0d4fd0caad5ebb94064433c9f9acc2437a3962194

Observation b3796b1a-f0bc-4e92-a908-bdbe0898d0e7 · inbound

Towards Efficient Multi-LLM Inference: Characterization and Analysis of LLM Routing and Hierarchical Techniques cites this paper.

Towards Efficient Multi-LLM Inference: Characterization and Analysis of LLM Routing and Hierarchical Techniques Mobile Edge Intelligence for Large Language Models: A Contemporary Survey

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-07T05:56:56.689467Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:56:56.689467Z digest=sha256:6a43f2ae8b274a4712ee47b2c6bb5a4f90dd2086910b5dad923690fbe919606d

Observation 50002ef9-0b0e-4598-af83-00b8b7afc9d4 · inbound

VisionThink: Smart and Efficient Vision Language Model via Reinforcement Learning cites this paper.

VisionThink: Smart and Efficient Vision Language Model via Reinforcement Learning Mobile Edge Intelligence for Large Language Models: A Contemporary Survey

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-06T16:33:58.028138Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:33:58.028138Z digest=sha256:e2a27eac9ff57460fc496deb2f735d0d241342f678764af8660f7e2fc2715c31

Observation 6e791c27-2820-460d-9d6f-b51d36decc48 · inbound

MagicVL-2B: Empowering Vision-Language Models on Mobile Devices with Lightweight Visual Encoders via Curriculum Learning cites this paper.

MagicVL-2B: Empowering Vision-Language Models on Mobile Devices with Lightweight Visual Encoders via Curriculum Learning Mobile Edge Intelligence for Large Language Models: A Contemporary Survey

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-06T05:36:20.568916Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T05:36:20.568916Z digest=sha256:7bc35c70be703f4d7b9ec64c30c7c974a7e1db3936765d5e9b6bde1120927008

Observation 9045169b-7899-456b-ad3f-883829e7cd44 · inbound

DuoServe-MoE: Dual-Phase Expert Prefetch and Caching for LLM Inference QoS Assurance cites this paper.

DuoServe-MoE: Dual-Phase Expert Prefetch and Caching for LLM Inference QoS Assurance Mobile Edge Intelligence for Large Language Models: A Contemporary Survey

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-05-18T18:36:44.259081Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-18T18:33:55.795906Z digest=sha256:69ffd4b18d599c6433c1f276e6ab6eaf231eb679734579470d0810ceb76cfcf3

Observation 9e9b86e1-91f2-427f-8e2c-cb61a331191e · inbound

Continuous Semantic Caching for Low-Cost LLM Serving cites this paper.

Continuous Semantic Caching for Low-Cost LLM Serving Mobile Edge Intelligence for Large Language Models: A Contemporary Survey

Reference 24

Resolution
verified exact
arxiv_id, observed 2026-05-11T13:01:03.221904Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-10T02:32:28.923367Z digest=sha256:8fb4e551330ed058b968bc4cc356edccc54c23998bfa78b53b423d04067a70ca

Observation 1aef7bb3-bcf6-46bc-a2a9-24b6c774a0fe · inbound

PULSE: Agentic Investigation with Passive Sensing for Proactive Intervention in Cancer Survivorship cites this paper.

PULSE: Agentic Investigation with Passive Sensing for Proactive Intervention in Cancer Survivorship Mobile Edge Intelligence for Large Language Models: A Contemporary Survey

Reference 55

Resolution
verified exact
arxiv_id, observed 2026-05-19T22:07:49.277629Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-19T22:03:26.071718Z digest=sha256:abe1230debf128dc3c43584894fd6f4425b30baa40cca8fa52dc84951f646f93