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Paper Citation Record · LEDGER

Edge Large AI Models: Collaborative Deployment and IoT Applications

As of 22 August 2026, this Paper Citation Record lists 15 of 15 outbound references and 1 inbound Pith citation observation for arXiv:2505.03139.

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

pith.paper-citation-record.v1
2505.03139 v1

Coverage vector

measured 15 of 15 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T00:01:28.552510Z

measured 16 of 16 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T21:16:14.640309Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T21:16:15.955785Z

Reference resolution

15 of 15 outbound references displayed

  • verified exact0
  • verified fuzzy14
  • unresolved1
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e73ce72a-318a-48af-af44-f8fbd451e9f8 · outbound

This paper cites Unleashing the power of edge-cloud generative AI in mobile networks: A survey of AIGC services,.

Edge Large AI Models: Collaborative Deployment and IoT Applications Unleashing the power of edge-cloud generative AI in mobile networks: A survey of AIGC services,

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T00:01:28.864675Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-16T00:01:28.478507Z digest=sha256:a966171955395d5e18df129a40dbe7f1bdb9463209c5e5a309ddc4a32b0aad97

Observation dc717593-086a-44b1-a497-26996b73748f · outbound

This paper cites TelecomGPT: A framework to build telecom-specfic large language models,.

Edge Large AI Models: Collaborative Deployment and IoT Applications TelecomGPT: A framework to build telecom-specfic large language models,

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T00:01:28.846033Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-16T00:01:28.483702Z digest=sha256:03b5e5069c932c492ffc1f276e8c49effc93784c835a9d39ef826681b1f0841f

Observation ebaf1fdb-26bb-46a3-9d76-f9090a9aaac0 · outbound

This paper cites Overview of AI and communication for 6G network: Fundamentals, challenges, and future research opportunities,.

Edge Large AI Models: Collaborative Deployment and IoT Applications Overview of AI and communication for 6G network: Fundamentals, challenges, and future research opportunities,

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T00:01:28.827307Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-16T00:01:28.495056Z digest=sha256:0d2e4e998c4a7dc50da4bd20c2478ad04edda5a52f5df675b21dfbacdfa45065

Observation b87b9580-a3c1-4b24-b357-f4ad382ac055 · outbound

This paper cites Edge artificial intelligence for 6G: Vision, enabling technologies, and applications,.

Edge Large AI Models: Collaborative Deployment and IoT Applications Edge artificial intelligence for 6G: Vision, enabling technologies, and applications,

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T00:01:28.808624Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-16T00:01:28.500579Z digest=sha256:37d76432d88d035796479b8bde6c97c3a5111dfead99737d7a7b0f61ce3f2ebb

Observation 3d599963-82ee-4e45-83ee-a33fc02dd044 · outbound

This paper cites Federated edge learning for 6G: Foundations, methodolo- gies, and applications,.

Edge Large AI Models: Collaborative Deployment and IoT Applications Federated edge learning for 6G: Foundations, methodolo- gies, and applications,

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T00:01:28.786810Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-16T00:01:28.505924Z digest=sha256:73989c9d2438bb33fc2b7b77d2f429a0589670763f77123a706c4fdb2cba8bf6

Observation add22087-5985-459c-bff0-60c9c5162ed2 · outbound

This paper cites Federated fine-tuning for pre-trained foundation models over wireless networks,.

Edge Large AI Models: Collaborative Deployment and IoT Applications Federated fine-tuning for pre-trained foundation models over wireless networks,

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T00:01:28.766626Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-16T00:01:28.510397Z digest=sha256:516a2a9a13e4794fa43e38b27fac64a6722bb017d052a78587771da8fd92019c

Observation 5cd88e4f-b950-4d2a-9a66-2008b0eca177 · outbound

This paper cites Industrial internet of things with large language models (LLMs): an intelligence-based reinforcement learning approach,.

Edge Large AI Models: Collaborative Deployment and IoT Applications Industrial internet of things with large language models (LLMs): an intelligence-based reinforcement learning approach,

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T00:01:28.738302Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-16T00:01:28.514887Z digest=sha256:79d8f75917a0a796f23f2c17e8e7c1eb3f6a43ee5b157e21e9a14c5ecc7a8acd

Observation cf0973b4-4b58-4439-a981-922944016ce7 · outbound

This paper cites Microservice-oriented service placement for mobile edge computing in sustainable internet of vehicles,.

Edge Large AI Models: Collaborative Deployment and IoT Applications Microservice-oriented service placement for mobile edge computing in sustainable internet of vehicles,

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T00:01:28.717805Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-16T00:01:28.519154Z digest=sha256:a3d9d69f1d6c470e53b5ef5fcfb07ec8e2e178533bd66089728e3f76b958a7d1

Observation a81c907d-4a0c-462a-ae1e-ea8fee7321a4 · outbound

This paper cites The roadmap to 6G: AI empowered wireless networks,.

Edge Large AI Models: Collaborative Deployment and IoT Applications The roadmap to 6G: AI empowered wireless networks,

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-16T00:01:28.523691Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T00:01:28.523691Z digest=sha256:5bf3267b8e4508421eac4989261cc2464585884fd4dce81efab589feccb6f45a

Observation 355339e8-da30-4d01-bbd2-3b3e6fab3cae · outbound

This paper cites LLMind: Orchestrating AI and IoT with LLM for complex task execution,.

Edge Large AI Models: Collaborative Deployment and IoT Applications LLMind: Orchestrating AI and IoT with LLM for complex task execution,

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T00:01:28.691780Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-16T00:01:28.528142Z digest=sha256:78aa8bb12e96d10789f348d3fa649a85820c32759664bcead777444faa98fea0

Observation ec3158d4-e9d8-4a30-92fe-45dc7b561d56 · outbound

This paper cites Toward scalable generative AI via mixture of experts in mobile edge networks,.

Edge Large AI Models: Collaborative Deployment and IoT Applications Toward scalable generative AI via mixture of experts in mobile edge networks,

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T00:01:28.676290Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-16T00:01:28.533498Z digest=sha256:4101e3c8854513b4ccd9c33b314185aea5f4f9fc0c4c013ac28e0ec91b98c093

Observation 3eb5dc07-a001-4cef-bce7-ddbc70ec9de6 · outbound

This paper cites Mobile edge intelligence for large language models: A contemporary survey,.

Edge Large AI Models: Collaborative Deployment and IoT Applications Mobile edge intelligence for large language models: A contemporary survey,

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T00:01:28.656399Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-16T00:01:28.538638Z digest=sha256:5895f23ece74c387c96b2491ca65b0ddb3c28b87627b25eb30c2e7542e13972a

Observation 5445c622-a1fe-4d26-9660-291791617c4f · outbound

This paper cites A survey on trustworthy edge intelligence: From secu- rity and reliability to transparency and sustainability,.

Edge Large AI Models: Collaborative Deployment and IoT Applications A survey on trustworthy edge intelligence: From secu- rity and reliability to transparency and sustainability,

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T00:01:28.640345Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-16T00:01:28.543471Z digest=sha256:8c4bbafe067d1fe13bf9d61ea45c41f51b08a469a21a33a5f3a3bcba03a09ee3

Observation b93d8481-c425-4200-bd0b-e6e794ddf475 · outbound

This paper cites GAN and multi-agent DRL based decentralized traffic light signal control,.

Edge Large AI Models: Collaborative Deployment and IoT Applications GAN and multi-agent DRL based decentralized traffic light signal control,

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T00:01:28.613779Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-16T00:01:28.548262Z digest=sha256:65db2c4463e3583931336d89ebbefeb74b308cc277a98de3a568e890c8529490

Observation 86032918-2395-4d0f-ac9e-95131351ec87 · outbound

This paper cites A survey on integrated sensing, communication, and computation,.

Edge Large AI Models: Collaborative Deployment and IoT Applications A survey on integrated sensing, communication, and computation,

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T00:01:28.594671Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-16T00:01:28.552510Z digest=sha256:7e4802bcd27dfb57643fdc3ce4233f104d531b09fdb3ec69e706904b8b63bf45

Pith citing papers

Observation 759c929d-8059-4ad9-9378-39e4ac998146 · inbound

Toward Edge General Intelligence with Multiple-Large Language Model (Multi-LLM): Architecture, Trust, and Orchestration cites this paper.

Toward Edge General Intelligence with Multiple-Large Language Model (Multi-LLM): Architecture, Trust, and Orchestration Edge Large AI Models: Collaborative Deployment and IoT Applications

Reference 12

Resolution
verified exact
local_arxiv, observed 2026-08-06T21:16:15.958338Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T21:16:14.640309Z digest=sha256:46bbce39a61daa8e02aa97ea8554a445a4ac1d0b64c7a66766cc67b83fd32527