Pith. sign in

Paper Citation Record · LEDGER

EdgeLoRA: An Efficient Multi-Tenant LLM Serving System on Edge Devices

As of 7 August 2026, this Paper Citation Record lists 100 of 109 outbound references and 0 inbound Pith citation observations for arXiv:2507.01438.

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

pith.paper-citation-record.v1
2507.01438 v1

Coverage vector

measured 100 of 109 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T20:59:03.657419Z

measured 100 of 100 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

100 of 109 outbound references displayed

  • verified exact2
  • verified fuzzy0
  • unresolved96
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 155a4a9a-86c1-4f36-8549-c55b3f5a1e80 · outbound

This paper cites Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone.

EdgeLoRA: An Efficient Multi-Tenant LLM Serving System on Edge Devices Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-06T20:58:54.216719Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:58:54.216719Z digest=sha256:0e505dbda24fa438dd6dbc5f6457ebf8ad76c31551af7c44201838fb2b846d5f

Observation 9733a787-e914-40ae-9428-03732befad00 · outbound

This paper cites Towards a Human-like Open-Domain Chatbot.

EdgeLoRA: An Efficient Multi-Tenant LLM Serving System on Edge Devices Towards a Human-like Open-Domain Chatbot

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-06T20:58:54.275247Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:58:54.275247Z digest=sha256:fe1bff25db8f47c1c8870c7039b2435274834ef1b4c6d4e5ac73197b262b4af7

Observation 5c7af1b7-b74f-4ab7-877b-defe0adecebc · outbound

This paper cites an unresolved cited work.

EdgeLoRA: An Efficient Multi-Tenant LLM Serving System on Edge Devices Unresolved cited work

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-06T20:58:54.350465Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:58:54.350465Z digest=sha256:bf29c6f4331290a5e6535d9dea41931a123aa5396931e09deacd8c9ffa4ffa8e

Observation 5fa49fe0-f239-4c90-b32c-817b60a264f0 · outbound

This paper cites Qwen Technical Report.

EdgeLoRA: An Efficient Multi-Tenant LLM Serving System on Edge Devices Qwen Technical Report

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-06T20:58:54.458351Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:58:54.458351Z digest=sha256:160d974b3e7b8cdf5e4c0056ea3477af8f27defa825dbf847bdf627a3c5a3cce

Observation 4d43623f-5c82-4dd4-a34d-e46eaa4c9d66 · outbound

This paper cites LoRA Learns Less and Forgets Less.

EdgeLoRA: An Efficient Multi-Tenant LLM Serving System on Edge Devices LoRA Learns Less and Forgets Less

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-06T20:58:54.519614Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:58:54.519614Z digest=sha256:2fbe4f970352f2d45d21ebf7da81860852c74ec690df71cff97b8c30a778f925

Observation 1798d89a-d376-4af4-8b38-9992595268c0 · outbound

This paper cites an unresolved cited work.

EdgeLoRA: An Efficient Multi-Tenant LLM Serving System on Edge Devices Unresolved cited work

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-06T20:58:54.626582Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:58:54.626582Z digest=sha256:f2fb9777b8aa0f120ce933fba32a71c47b3ddc5095f60345fa946e494f429d70

Observation 5c3fd7f8-5c47-47e4-bbc8-e51daa8b4c32 · outbound

This paper cites an unresolved cited work.

EdgeLoRA: An Efficient Multi-Tenant LLM Serving System on Edge Devices Unresolved cited work

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-06T20:58:54.713582Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:58:54.713582Z digest=sha256:f0d7382c4aaffa0f7c8c69b832efcee8ffe2856c35f656bf47451e4cca709f89

Observation 1a229013-a723-48df-a265-7b52cfae57f2 · outbound

This paper cites an unresolved cited work.

EdgeLoRA: An Efficient Multi-Tenant LLM Serving System on Edge Devices Unresolved cited work

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-06T20:58:54.780646Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:58:54.780646Z digest=sha256:e95ea9c1c991a586a165d605110e69dce7efb59178aeb65a9b85ea5af11d9f62

Observation e69981a7-2ec7-4c7c-8a6d-c1bc12034ac9 · outbound

This paper cites Language Models are Few-Shot Learners.

EdgeLoRA: An Efficient Multi-Tenant LLM Serving System on Edge Devices Language Models are Few-Shot Learners

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-06T20:58:54.891242Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:58:54.891242Z digest=sha256:aad0ce184c1c665b5038f04bcc6d78484e7eab6ea64f87877c321a5041961b77

Observation 05cbaa60-6614-46c1-b161-e736e89aa65a · outbound

This paper cites Compress then Serve: Serving Thousands of LoRA Adapters with Little Overhead.

EdgeLoRA: An Efficient Multi-Tenant LLM Serving System on Edge Devices Compress then Serve: Serving Thousands of LoRA Adapters with Little Overhead

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-06T20:58:54.973490Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:58:54.973490Z digest=sha256:fc4dabdb55ab32c4d75af343c2ecfa7dd5db5d3d7a1bf17362a32a39545ca6c8

Observation 18998b76-9630-4786-95ba-8b0c1b63f62d · outbound

This paper cites PipeInfer: Accelerating LLM Inference using Asynchronous Pipelined Speculation.

EdgeLoRA: An Efficient Multi-Tenant LLM Serving System on Edge Devices PipeInfer: Accelerating LLM Inference using Asynchronous Pipelined Speculation

Reference 11

Resolution
verified exact
local_arxiv, observed 2026-08-06T20:59:04.413079Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T20:58:55.063428Z digest=sha256:897f36ca138160b7efa508997a02ccbbeda3dc529cd87acea4cb9cc2702e1862

Observation ec579f46-5a3a-426f-8c43-d7b01002b4ca · outbound

This paper cites One-for-All: Generalized LoRA for Parameter-Efficient Fine-tuning.

EdgeLoRA: An Efficient Multi-Tenant LLM Serving System on Edge Devices One-for-All: Generalized LoRA for Parameter-Efficient Fine-tuning

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-06T20:58:55.188112Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:58:55.188112Z digest=sha256:c0538320354a97e55113f36bcec76b0b09743956de32b38c750c82cf1889abc7

Observation e6150b3d-d79a-4eb4-b573-6f1538b83ca7 · outbound

This paper cites Punica: Multi-Tenant LoRA Serving.

EdgeLoRA: An Efficient Multi-Tenant LLM Serving System on Edge Devices Punica: Multi-Tenant LoRA Serving

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-06T20:58:55.287915Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:58:55.287915Z digest=sha256:7eb6ea5c77aac70aa28a6b5b427ebe0f2b68cec39069899c37f7e45eeb6dfda7

Observation 38107059-deff-4489-b49d-3d9c4e133fdc · outbound

This paper cites LongLoRA: Efficient Fine-tuning of Long-Context Large Language Models.

EdgeLoRA: An Efficient Multi-Tenant LLM Serving System on Edge Devices LongLoRA: Efficient Fine-tuning of Long-Context Large Language Models

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-06T20:58:55.359470Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:58:55.359470Z digest=sha256:f89f72e16bda198086d6e74d527958710894276a22caa47bac8afb0471e9c181

Observation 41c65450-5ac0-49ab-9744-0a9f172974f8 · outbound

This paper cites an unresolved cited work.

EdgeLoRA: An Efficient Multi-Tenant LLM Serving System on Edge Devices Unresolved cited work

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-06T20:58:55.425627Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:58:55.425627Z digest=sha256:f4b16b23c6e4b321f9b71f130de8e0ea4265e7232f40e998e0ae538aa712093a

Observation e3715fe2-8cca-438e-8358-2809d9854531 · outbound

This paper cites an unresolved cited work.

EdgeLoRA: An Efficient Multi-Tenant LLM Serving System on Edge Devices Unresolved cited work

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-06T20:58:55.526114Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:58:55.526114Z digest=sha256:ffa3242eca0ce86c99958932b4af8f2e14ac9c16018fc63567aa602511bdb220

Observation 544b5aa5-0369-48d7-8cd4-8f1081a0ce08 · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

EdgeLoRA: An Efficient Multi-Tenant LLM Serving System on Edge Devices An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-06T20:58:55.572004Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:58:55.572004Z digest=sha256:af9be6846b30008280a1cd63a1c477efea866d5fedca59a74990d4cc8d2738a6

Observation 9e373ff4-4a20-4486-ae7a-7ae8ded09fab · outbound

This paper cites an unresolved cited work.

EdgeLoRA: An Efficient Multi-Tenant LLM Serving System on Edge Devices Unresolved cited work

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-06T20:58:55.675551Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:58:55.675551Z digest=sha256:9e70da78779e5495a342098321597adeb0726a605f585c386ba440355c6546b8

Observation e7001b7d-2f6e-4c04-84bc-b03df58cb9b4 · outbound

This paper cites an unresolved cited work.

EdgeLoRA: An Efficient Multi-Tenant LLM Serving System on Edge Devices Unresolved cited work

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-06T20:58:55.806165Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:58:55.806165Z digest=sha256:a9c75f6522c7ab60b270f618787b12b813fbf0403e711efeaecd5ace7208f1b4

Observation e76af152-e7de-4a3a-bd2b-e8419b7fb046 · outbound

This paper cites an unresolved cited work.

EdgeLoRA: An Efficient Multi-Tenant LLM Serving System on Edge Devices Unresolved cited work

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-06T20:58:55.961761Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:58:55.961761Z digest=sha256:2a2bd812ea901a64a168152334cf7a9e25a09ad543e7ba2f257eb7c495b14105

Observation 3ceaa933-54b8-4bfe-8f52-71b75092b9c5 · outbound

This paper cites an unresolved cited work.

EdgeLoRA: An Efficient Multi-Tenant LLM Serving System on Edge Devices Unresolved cited work

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-06T20:58:56.020158Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:58:56.020158Z digest=sha256:807b98eeafe9bd4ecd1fd493b5603a016d1ced928e87a48c3500b4fd64cd4969

Observation 82f1dc8e-f75a-41ec-a563-6ac4bb7191fc · outbound

This paper cites GPTQ: Accurate Post-Training Quantization for Generative Pre-trained Transformers.

EdgeLoRA: An Efficient Multi-Tenant LLM Serving System on Edge Devices GPTQ: Accurate Post-Training Quantization for Generative Pre-trained Transformers

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-06T20:58:56.111415Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:58:56.111415Z digest=sha256:18e064d05202e1b1deab9966be4dbff77cf9742ee92d9d116d910877cdef3f5f

Observation f2c6b3aa-806b-4b6b-9e05-fc585e927ca1 · outbound

This paper cites an unresolved cited work.

EdgeLoRA: An Efficient Multi-Tenant LLM Serving System on Edge Devices Unresolved cited work

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-06T20:58:56.260496Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:58:56.260496Z digest=sha256:fc9b3d50389559f06032193ea0797fa9e5f7f7844a9ed3dca52538ece108326c

Observation eee4ed60-70f2-4687-8696-449efbefd1a7 · outbound

This paper cites an unresolved cited work.

EdgeLoRA: An Efficient Multi-Tenant LLM Serving System on Edge Devices Unresolved cited work

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-06T20:58:56.375295Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:58:56.375295Z digest=sha256:2e3c6ac27e3fef552d253303f9703408f8def624ed39465d6dbf2fc3fa7d5d5c

Observation 4cd7b491-ea86-4dea-b954-9282756ee8d1 · outbound

This paper cites an unresolved cited work.

EdgeLoRA: An Efficient Multi-Tenant LLM Serving System on Edge Devices Unresolved cited work

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-06T20:58:56.495120Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:58:56.495120Z digest=sha256:437d5b69e053f2f902ac94045334cba5f0446fc64259ae4b7e086a102cff00f2

Observation dc773c05-af7f-483e-8f26-a00cc3dd7477 · outbound

This paper cites MultiModal-GPT: A Vision and Language Model for Dialogue with Humans.

EdgeLoRA: An Efficient Multi-Tenant LLM Serving System on Edge Devices MultiModal-GPT: A Vision and Language Model for Dialogue with Humans

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-06T20:58:56.603817Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:58:56.603817Z digest=sha256:c2d3edbecda47e82ebcf8a5033e1705a4fb6a7597392664b496071b78cc57a8c

Observation 8115d255-c229-447b-8901-002a575d3def · outbound

This paper cites The Llama 3 Herd of Models.

EdgeLoRA: An Efficient Multi-Tenant LLM Serving System on Edge Devices The Llama 3 Herd of Models

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-06T20:58:56.758166Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:58:56.758166Z digest=sha256:79067e48c046969c09cc1606b3a512e99543bce8902faa471d663a8826c7b0bb

Observation c72e5ab9-4a99-4369-9e96-6c2059d651df · outbound

This paper cites an unresolved cited work.

EdgeLoRA: An Efficient Multi-Tenant LLM Serving System on Edge Devices Unresolved cited work

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-06T20:58:56.882898Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:58:56.882898Z digest=sha256:1fe8967056ecbd405e2edf6f8b723cfc048800ef7db8ef25387ae009ed04cd8d

Observation f36efb7b-2958-4216-b7d7-52231ece2967 · outbound

This paper cites InstructDial: Improving Zero and Few-shot Generalization in Dialogue through Instruction Tuning.

EdgeLoRA: An Efficient Multi-Tenant LLM Serving System on Edge Devices InstructDial: Improving Zero and Few-shot Generalization in Dialogue through Instruction Tuning

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-06T20:58:57.015007Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:58:57.015007Z digest=sha256:321dcd5021fd9306b45c022daaea4a73ad9d252edb0901a9edd68b19bcece6b6

Observation fe27a31d-715e-433e-bc60-a1b3c65db538 · outbound

This paper cites Measuring Mathematical Problem Solving With the MATH Dataset.

EdgeLoRA: An Efficient Multi-Tenant LLM Serving System on Edge Devices Measuring Mathematical Problem Solving With the MATH Dataset

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-06T20:58:57.147917Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:58:57.147917Z digest=sha256:42bfbc6c5ba1071b94a3463bab0bf76857c3ac9bab7cfe4193ca96ba5f956a0b

Observation 4b72408a-2209-47e6-95be-27fddf4cd7a7 · outbound

This paper cites an unresolved cited work.

EdgeLoRA: An Efficient Multi-Tenant LLM Serving System on Edge Devices Unresolved cited work

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-06T20:58:57.273544Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:58:57.273544Z digest=sha256:5bf96367d4bb9b4096d2aa487b31cff1afd6de78b5e34265cbe4527a11007b5d

Observation efe6693e-acff-498a-a6f2-9b4374b46997 · outbound

This paper cites an unresolved cited work.

EdgeLoRA: An Efficient Multi-Tenant LLM Serving System on Edge Devices Unresolved cited work

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-06T20:58:57.419710Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:58:57.419710Z digest=sha256:98c3032b890ae55bd716fc3268dce885ec0d16056e59a213579c5d50712b87b5

Observation 5849ed9a-0349-495f-8b30-558199302020 · outbound

This paper cites LoRA: Low-Rank Adaptation of Large Language Models.

EdgeLoRA: An Efficient Multi-Tenant LLM Serving System on Edge Devices LoRA: Low-Rank Adaptation of Large Language Models

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-06T20:58:57.503162Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:58:57.503162Z digest=sha256:8212952080d751ef4df145fbf8d9df878051237ecebfe18805df2759c6515c28

Observation b1ddc4d3-654a-4657-85ab-b212e8f835ab · outbound

This paper cites Mixtral of Experts.

EdgeLoRA: An Efficient Multi-Tenant LLM Serving System on Edge Devices Mixtral of Experts

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-06T20:58:57.574171Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:58:57.574171Z digest=sha256:87ba60ab9bd7e369414ac439e414dc4c60b1537fded1a5fe5b0b2cc84b2413fc

Observation 7d13410d-f661-4ceb-8aa7-169602a8454e · outbound

This paper cites Lion: Adversarial Distillation of Proprietary Large Language Models.

EdgeLoRA: An Efficient Multi-Tenant LLM Serving System on Edge Devices Lion: Adversarial Distillation of Proprietary Large Language Models

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-06T20:58:57.671927Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:58:57.671927Z digest=sha256:7a6e00558b44ae52820816bfdfbe66ade928d5dcd6999ad3a74fa83b8ecd6edd

Observation e21fba61-d5ed-461a-a18d-45cc7bd48ac6 · outbound

This paper cites an unresolved cited work.

EdgeLoRA: An Efficient Multi-Tenant LLM Serving System on Edge Devices Unresolved cited work

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-06T20:58:57.748879Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:58:57.748879Z digest=sha256:1d7cb6a9d6c74623d0f772c467ab36cbf5071813b240f7d5f41581a5ab5a9c81

Observation a1585906-a585-4c36-ba80-a4a35718b074 · outbound

This paper cites an unresolved cited work.

EdgeLoRA: An Efficient Multi-Tenant LLM Serving System on Edge Devices Unresolved cited work

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-06T20:58:57.809900Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:58:57.809900Z digest=sha256:f046687710c9c74fee6c452d211b048c27441572e01b13666a4c4b35787cd643

Observation 95e5cbd2-ae0f-435f-967b-061f9696e90e · outbound

This paper cites an unresolved cited work.

EdgeLoRA: An Efficient Multi-Tenant LLM Serving System on Edge Devices Unresolved cited work

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-06T20:58:57.889013Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:58:57.889013Z digest=sha256:814732b1b1444695e43cb7de2c15bfe6b67c320eb8a0feee5fb736a124841ac8

Observation 438bb62b-d495-4a96-bf0c-6cda7f240d2e · outbound

This paper cites 2024.{InfiniGen}: Efficient generative inference of large language models with dynamic{KV} cache management.

EdgeLoRA: An Efficient Multi-Tenant LLM Serving System on Edge Devices 2024.{InfiniGen}: Efficient generative inference of large language models with dynamic{KV} cache management

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-06T20:58:57.985900Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:58:57.985900Z digest=sha256:1f2b70046ef67da3f214010badc0239807f8cfc07155751731d1d911525adac4

Observation edd55d40-b4e5-4816-a4b8-c636f39e2d4f · outbound

This paper cites The Power of Scale for Parameter-Efficient Prompt Tuning.

EdgeLoRA: An Efficient Multi-Tenant LLM Serving System on Edge Devices The Power of Scale for Parameter-Efficient Prompt Tuning

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-06T20:58:58.181720Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:58:58.181720Z digest=sha256:18a9ee96fda6d3a6e16a4b583357a6a4b1498798b6e02b053ed6ae61a8b3bb61

Observation 62002a72-a1a7-4d74-844f-99082af9aa95 · outbound

This paper cites CaraServe: CPU-Assisted and Rank-Aware LoRA Serving for Generative LLM Inference.

EdgeLoRA: An Efficient Multi-Tenant LLM Serving System on Edge Devices CaraServe: CPU-Assisted and Rank-Aware LoRA Serving for Generative LLM Inference

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-06T20:58:58.276719Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:58:58.276719Z digest=sha256:b357e5ba9e1aa67b5ae4964416e4d3ec5538b4fcb31b88cab07983270244dd47

Observation 8ea84793-3076-4305-b2fe-9514efb41ddd · outbound

This paper cites Prefix-Tuning: Optimizing Continuous Prompts for Generation.

EdgeLoRA: An Efficient Multi-Tenant LLM Serving System on Edge Devices Prefix-Tuning: Optimizing Continuous Prompts for Generation

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-06T20:58:58.399360Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:58:58.399360Z digest=sha256:49596abcf9fed3aececc24b785f32d2935fc9d8f61e5b7f08df0a44ea4f53972

Observation 55d7d7a6-14ce-4031-ad9f-c63106a2d612 · outbound

This paper cites an unresolved cited work.

EdgeLoRA: An Efficient Multi-Tenant LLM Serving System on Edge Devices Unresolved cited work

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-06T20:58:58.506160Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:58:58.506160Z digest=sha256:a332deddefbf178cedfd48915428edd60e1866d9af16a43da0b6b17cbbf510bf

Observation ee5dda58-e335-4e86-a82c-1e4fe8db64e6 · outbound

This paper cites Personal LLM Agents: Insights and Survey about the Capability, Efficiency and Security.

EdgeLoRA: An Efficient Multi-Tenant LLM Serving System on Edge Devices Personal LLM Agents: Insights and Survey about the Capability, Efficiency and Security

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-06T20:58:58.725171Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:58:58.725171Z digest=sha256:167e731e5ffe5ebfd57e2587a3ab132c49c06715df9372bb15193efa616a12aa

Observation 1b40480a-7ea3-4213-81db-144480da9d31 · outbound

This paper cites an unresolved cited work.

EdgeLoRA: An Efficient Multi-Tenant LLM Serving System on Edge Devices Unresolved cited work

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-06T20:58:58.821144Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:58:58.821144Z digest=sha256:90f3dd0d9c559e9dc426c4e013c5e8970b7b731ba20dc5cc201f561f19e6c1a1

Observation 6755b5cc-b0c7-4c82-aec5-3069666138e5 · outbound

This paper cites LLM-grounded Video Diffusion Models.

EdgeLoRA: An Efficient Multi-Tenant LLM Serving System on Edge Devices LLM-grounded Video Diffusion Models

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-06T20:58:58.891881Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:58:58.891881Z digest=sha256:4975a5c75e2ae5e2951baa42859bc4e52781973e854d2cc328ca922ad3ea28fa

Observation 406f14ba-feeb-476d-8a50-0296be30b8cb · outbound

This paper cites an unresolved cited work.

EdgeLoRA: An Efficient Multi-Tenant LLM Serving System on Edge Devices Unresolved cited work

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-06T20:58:58.970079Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:58:58.970079Z digest=sha256:8f6b5ed6890c2579c4a64998c858f5f59c7131cb923840e8f3b0422f8a62e90f

Observation 81319f9c-33c6-4cb6-8776-f0a7163ed375 · outbound

This paper cites Goat: Fine-tuned LLaMA Outperforms GPT-4 on Arithmetic Tasks.

EdgeLoRA: An Efficient Multi-Tenant LLM Serving System on Edge Devices Goat: Fine-tuned LLaMA Outperforms GPT-4 on Arithmetic Tasks

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-06T20:58:59.066310Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:58:59.066310Z digest=sha256:fe12f0a382514e64253b581eeabd20ca9165f6612f86a480122855dccd7a44db

Observation 571983aa-256e-4f56-b96c-68a11dfe7ae9 · outbound

This paper cites P-Tuning v2: Prompt Tuning Can Be Comparable to Fine-tuning Universally Across Scales and Tasks.

EdgeLoRA: An Efficient Multi-Tenant LLM Serving System on Edge Devices P-Tuning v2: Prompt Tuning Can Be Comparable to Fine-tuning Universally Across Scales and Tasks

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-06T20:58:59.143355Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:58:59.143355Z digest=sha256:285e8dfc7941153f8b3e1be2a46a640faf76c798309e7f9a96425cc0a25edd14

Observation c9cec157-f1d6-4b48-9140-2eb43236a41c · outbound

This paper cites an unresolved cited work.

EdgeLoRA: An Efficient Multi-Tenant LLM Serving System on Edge Devices Unresolved cited work

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-06T20:58:59.223878Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:58:59.223878Z digest=sha256:70d79e0033aeccdd8759f6416b72d64b2bb888d4266773a2242a4402ef4b9c18

Observation 1606c9ea-83a9-4a69-8a6e-0b73634c7ee4 · outbound

This paper cites an unresolved cited work.

EdgeLoRA: An Efficient Multi-Tenant LLM Serving System on Edge Devices Unresolved cited work

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-06T20:58:59.275626Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:58:59.275626Z digest=sha256:85836c06a7c8fa139fc282033f259279850aaf03448889a4a595d74f9cb28d32

Observation 45f82f12-538a-49ed-8601-d97a8e587845 · outbound

This paper cites an unresolved cited work.

EdgeLoRA: An Efficient Multi-Tenant LLM Serving System on Edge Devices Unresolved cited work

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-06T20:58:59.383703Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:58:59.383703Z digest=sha256:ef29ca8b3927d01dd1aa1cee54c33c2566529e1b745f5e5c27240a379c064075

Observation 0eae0b1a-b32d-45bb-a672-f07a29daff20 · outbound

This paper cites an unresolved cited work.

EdgeLoRA: An Efficient Multi-Tenant LLM Serving System on Edge Devices Unresolved cited work

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-06T20:58:59.504517Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:58:59.504517Z digest=sha256:5aa963d30b117d982ecc167d33e56c247dcdabefe9bf26999c4cce69c563d647

Observation 3af90498-5a8a-482a-8ae5-6955c5773bf9 · outbound

This paper cites OpenELM: An Efficient Language Model Family with Open Training and Inference Framework.

EdgeLoRA: An Efficient Multi-Tenant LLM Serving System on Edge Devices OpenELM: An Efficient Language Model Family with Open Training and Inference Framework

Reference 55

Resolution
unresolved
no resolver link, observed 2026-08-06T20:58:59.597356Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:58:59.597356Z digest=sha256:9057c93fda9523f8f90eb89765c4c749109cf7ffb90433eeb4f850a122d2915a

Observation 258b5983-38aa-4e5e-bd76-b87dabb5a8b8 · outbound

This paper cites Empower Vision Applications with LoRA LMM.

EdgeLoRA: An Efficient Multi-Tenant LLM Serving System on Edge Devices Empower Vision Applications with LoRA LMM

Reference 56

Resolution
verified exact
local_arxiv, observed 2026-08-06T20:59:04.162207Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T20:58:59.733300Z digest=sha256:aa00f758301318a44a88f2707f34ff84fe9f7a6cb0eb5ee90a373f820627742a

Observation 13006e3a-7a8f-4ee6-8f21-75a1b91ab756 · outbound

This paper cites an unresolved cited work.

EdgeLoRA: An Efficient Multi-Tenant LLM Serving System on Edge Devices Unresolved cited work

Reference 57

Resolution
unresolved
no resolver link, observed 2026-08-06T20:58:59.820038Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:58:59.820038Z digest=sha256:0359a097c7923c93ead30a2e1854e3a52bedd3b56b9f53708ffc4fd26e7cea36

Observation 4a22c84d-7f65-4d9e-823f-580bd864ff0a · outbound

This paper cites 2023-2025.

EdgeLoRA: An Efficient Multi-Tenant LLM Serving System on Edge Devices 2023-2025

Reference 58

Resolution
unresolved
no resolver link, observed 2026-08-06T20:58:59.972053Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:58:59.972053Z digest=sha256:781b75ec7166ae830b22e1ff1c216e6c2b0e21554669d57282c2fce304be30dc

Observation 10f8ed8f-07b3-40ee-867d-f7a6094ee9f4 · outbound

This paper cites an unresolved cited work.

EdgeLoRA: An Efficient Multi-Tenant LLM Serving System on Edge Devices Unresolved cited work

Reference 59

Resolution
unresolved
no resolver link, observed 2026-08-06T20:59:00.102564Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:59:00.102564Z digest=sha256:79cb4f316a2545fd3ca84863214f62c42b852ed78e3758f2173059b03c15e3d6

Observation 13037068-1147-4ec9-b577-6d44952ada5d · outbound

This paper cites Abstractive Text Summarization Using Sequence-to-Sequence RNNs and Beyond.

EdgeLoRA: An Efficient Multi-Tenant LLM Serving System on Edge Devices Abstractive Text Summarization Using Sequence-to-Sequence RNNs and Beyond

Reference 60

Resolution
unresolved
no resolver link, observed 2026-08-06T20:59:00.217057Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:59:00.217057Z digest=sha256:fe0a9e142403bb254e8645306e00a1cc84b3dda8969c5a4e445723f41ff56972

Observation a4ca4d0d-7009-4dc3-ad21-0b9ba0ee494c · outbound

This paper cites GPT-4 Technical Report.

EdgeLoRA: An Efficient Multi-Tenant LLM Serving System on Edge Devices GPT-4 Technical Report

Reference 61

Resolution
unresolved
no resolver link, observed 2026-08-06T20:59:00.276568Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:59:00.276568Z digest=sha256:f98fcbde99838ee67ae5840a19b7deaea9429423e2d87db4c77596d35c93b006

Observation 55f0130c-498d-4e35-be18-df2c4fcdec97 · outbound

This paper cites Zhang, Mark Harman, and Meng Wang.

EdgeLoRA: An Efficient Multi-Tenant LLM Serving System on Edge Devices Zhang, Mark Harman, and Meng Wang

Reference 62

Resolution
unresolved
no resolver link, observed 2026-08-06T20:59:00.400932Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:59:00.400932Z digest=sha256:6eb7b00951773d478f098a993ff3a8d5f02bb23ddfc4202cccf06985a633c6ca

Observation 617744f1-b7c5-4193-8285-d9b8a8c1e0e1 · outbound

This paper cites Pearl: Personalizing Large Language Model Writing Assistants with Generation-Calibrated Retrievers.

EdgeLoRA: An Efficient Multi-Tenant LLM Serving System on Edge Devices Pearl: Personalizing Large Language Model Writing Assistants with Generation-Calibrated Retrievers

Reference 63

Resolution
unresolved
no resolver link, observed 2026-08-06T20:59:00.178162Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:59:00.178162Z digest=sha256:bafe7d5aa46f9d0db959b7f0767fde12b9532fe79e0e76939d233e359f6a680f

Observation 5d0d6566-cfa8-492e-bf01-5a959911f2ec · outbound

This paper cites an unresolved cited work.

EdgeLoRA: An Efficient Multi-Tenant LLM Serving System on Edge Devices Unresolved cited work

Reference 64

Resolution
unresolved
no resolver link, observed 2026-08-06T20:59:00.566750Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:59:00.566750Z digest=sha256:f906c4f7ce606d3c2dfdf4ecae214c0fba2d76e036a6826d6661b11d3ae09238

Observation c2f2d3a9-42af-4563-9be1-6aff78b6f5e1 · outbound

This paper cites an unresolved cited work.

EdgeLoRA: An Efficient Multi-Tenant LLM Serving System on Edge Devices Unresolved cited work

Reference 65

Resolution
unresolved
raw_fallback, observed 2026-08-06T20:59:05.947418Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T20:59:00.723435Z digest=sha256:c0c138620a8d33019a7935f0e40961c538d19b963c9bdd50974441b8616e5fc8

Observation de4af2ae-759e-410b-a46a-d88c424af820 · outbound

This paper cites GPQA: A Graduate-Level Google-Proof Q&A Benchmark.

EdgeLoRA: An Efficient Multi-Tenant LLM Serving System on Edge Devices GPQA: A Graduate-Level Google-Proof Q&A Benchmark

Reference 66

Resolution
unresolved
no resolver link, observed 2026-08-06T20:59:00.806714Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:59:00.806714Z digest=sha256:3c97f624ff8481393a711850ace8a3ccd9180791a4784f77cb7bbdfe7b6fe8be

Observation 6fbaf9a2-be3d-4cb9-9c08-c5618b31e11e · outbound

This paper cites an unresolved cited work.

EdgeLoRA: An Efficient Multi-Tenant LLM Serving System on Edge Devices Unresolved cited work

Reference 67

Resolution
unresolved
raw_fallback, observed 2026-08-06T20:59:06.047196Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T20:59:00.490704Z digest=sha256:15f80dcfd665923386003a808d9d9a77e752b17c0d1fcd5c3d2638d5095afcbc

Observation 1269a875-dcdb-4f9f-89f1-f425a63affff · outbound

This paper cites Exploiting Cloze Questions for Few Shot Text Classification and Natural Language Inference.

EdgeLoRA: An Efficient Multi-Tenant LLM Serving System on Edge Devices Exploiting Cloze Questions for Few Shot Text Classification and Natural Language Inference

Reference 68

Resolution
unresolved
no resolver link, observed 2026-08-06T20:59:00.992772Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:59:00.992772Z digest=sha256:903e395e9a352711942499d21c31d6e0f5b9669a6a872cd0cc0769b5ee18194b

Observation baef3bd7-a0fa-4cc6-a9f9-3330b9945417 · outbound

This paper cites an unresolved cited work.

EdgeLoRA: An Efficient Multi-Tenant LLM Serving System on Edge Devices Unresolved cited work

Reference 69

Resolution
unresolved
raw_fallback, observed 2026-08-06T20:59:05.840603Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T20:59:01.085886Z digest=sha256:0b971f03f6db087191dda64b775a0e66a8341591253485b038a2b9a3783b8b79

Observation 855648a5-7807-46ce-a69d-bafa5bab2e8e · outbound

This paper cites an unresolved cited work.

EdgeLoRA: An Efficient Multi-Tenant LLM Serving System on Edge Devices Unresolved cited work

Reference 70

Resolution
unresolved
raw_fallback, observed 2026-08-06T20:59:05.728278Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T20:59:01.176909Z digest=sha256:d0e87bdbd9d69a49d4055952f70cb0a1d0c2f663008d96523675ac4d5d73ce2d

Observation a5b6eea1-bc57-44ca-9cab-ee12f7df98f1 · outbound

This paper cites LLaSM: Large Language and Speech Model.

EdgeLoRA: An Efficient Multi-Tenant LLM Serving System on Edge Devices LLaSM: Large Language and Speech Model

Reference 71

Resolution
unresolved
no resolver link, observed 2026-08-06T20:59:01.315222Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:59:01.315222Z digest=sha256:1ed55d3820694f681dc1986c5ff3e86f84830f909df226877714a094ac800042

Observation ed9e4cf3-a4d7-43b7-9502-f11478102146 · outbound

This paper cites Code Llama: Open Foundation Models for Code.

EdgeLoRA: An Efficient Multi-Tenant LLM Serving System on Edge Devices Code Llama: Open Foundation Models for Code

Reference 72

Resolution
unresolved
no resolver link, observed 2026-08-06T20:59:00.896996Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:59:00.896996Z digest=sha256:3d5312f215da304e5e82daf9ab360a2a49fbd80f75cd216d3d48f471cd200c60

Observation 19b3b77a-05de-49b5-bdc2-eff859c31c48 · outbound

This paper cites an unresolved cited work.

EdgeLoRA: An Efficient Multi-Tenant LLM Serving System on Edge Devices Unresolved cited work

Reference 73

Resolution
unresolved
no resolver link, observed 2026-08-06T20:59:01.441707Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:59:01.441707Z digest=sha256:61dfd94648fe0df27aeadf9dfd6005c2052fc25400cb7294d25198f1f857ce9a

Observation d580ae2e-c08a-4398-9254-a1a722f9e353 · outbound

This paper cites Llumnix: Dynamic Scheduling for Large Language Model Serving.

EdgeLoRA: An Efficient Multi-Tenant LLM Serving System on Edge Devices Llumnix: Dynamic Scheduling for Large Language Model Serving

Reference 74

Resolution
unresolved
no resolver link, observed 2026-08-06T20:59:01.514175Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:59:01.514175Z digest=sha256:327f9ff20c98acb5ce1ec03f9973cd217236bf59a22a657afd8184d6086d71d0

Observation ea9eaf75-cb4a-44b5-a548-0e5743f88284 · outbound

This paper cites Challenging BIG-Bench Tasks and Whether Chain-of-Thought Can Solve Them.

EdgeLoRA: An Efficient Multi-Tenant LLM Serving System on Edge Devices Challenging BIG-Bench Tasks and Whether Chain-of-Thought Can Solve Them

Reference 75

Resolution
malformed identifier
no resolver link, observed 2026-08-06T20:59:01.586931Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:59:01.586931Z digest=sha256:ce69e261dc094c3bf2f21c2a257488989cf49144c635adcd6ea5d7e97ac6f17a

Observation 99c10f8b-f9d6-470e-b478-4f57d1c909d4 · outbound

This paper cites S-LoRA: Serving Thousands of Concurrent LoRA Adapters.

EdgeLoRA: An Efficient Multi-Tenant LLM Serving System on Edge Devices S-LoRA: Serving Thousands of Concurrent LoRA Adapters

Reference 76

Resolution
unresolved
no resolver link, observed 2026-08-06T20:59:01.255365Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:59:01.255365Z digest=sha256:325e72d92b2661bb6dc7b195efa260d93188f44ac2112251c670bfe0d8f82ec3

Observation 1f7a281f-9fed-41cb-b0d0-0793ef5cc9aa · outbound

This paper cites an unresolved cited work.

EdgeLoRA: An Efficient Multi-Tenant LLM Serving System on Edge Devices Unresolved cited work

Reference 77

Resolution
unresolved
raw_fallback, observed 2026-08-06T20:59:05.481014Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T20:59:01.750031Z digest=sha256:564462a87d99bb8db059f793f27c2139354f9d72accb96f0b98cebd95f72aca9

Observation 28de88fc-46bb-42ff-940c-1ae6e1dfb9e5 · outbound

This paper cites an unresolved cited work.

EdgeLoRA: An Efficient Multi-Tenant LLM Serving System on Edge Devices Unresolved cited work

Reference 78

Resolution
unresolved
raw_fallback, observed 2026-08-06T20:59:05.611027Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T20:59:01.384286Z digest=sha256:0e2ce45917f92980806316a92becb0932bd5c66a021001c6ee787b4593615384

Observation edf136a0-c492-4b58-9058-bc9d47281df1 · outbound

This paper cites OpenMathInstruct-2: Accelerating AI for Math with Massive Open-Source Instruction Data.

EdgeLoRA: An Efficient Multi-Tenant LLM Serving System on Edge Devices OpenMathInstruct-2: Accelerating AI for Math with Massive Open-Source Instruction Data

Reference 79

Resolution
unresolved
no resolver link, observed 2026-08-06T20:59:01.912987Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:59:01.912987Z digest=sha256:03094d6d6d8363486a9e219fa5450cf46b5bcd0b3af3bd4fb0c94439f9cdf507

Observation 0018ca47-847d-4f9b-ac9a-6a7f46d8e7be · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

EdgeLoRA: An Efficient Multi-Tenant LLM Serving System on Edge Devices LLaMA: Open and Efficient Foundation Language Models

Reference 80

Resolution
unresolved
no resolver link, observed 2026-08-06T20:59:01.989191Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:59:01.989191Z digest=sha256:4547ef9896f448e1a7616da079348b7930c6ce2251db6b3271f0ff22f07b934b

Observation 3e159eb2-5cf8-49a5-89ac-a2603f76b23c · outbound

This paper cites an unresolved cited work.

EdgeLoRA: An Efficient Multi-Tenant LLM Serving System on Edge Devices Unresolved cited work

Reference 81

Resolution
unresolved
no resolver link, observed 2026-08-06T20:59:02.062110Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:59:02.062110Z digest=sha256:24f78296e2fc0ebf226fb73a2d74c62cec688061eb041ebf51989f490522146b

Observation 43045b74-7746-4ac7-b03f-8e40d37c2796 · outbound

This paper cites MathScale: Scaling Instruction Tuning for Mathematical Reasoning.

EdgeLoRA: An Efficient Multi-Tenant LLM Serving System on Edge Devices MathScale: Scaling Instruction Tuning for Mathematical Reasoning

Reference 82

Resolution
unresolved
no resolver link, observed 2026-08-06T20:59:01.654628Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:59:01.654628Z digest=sha256:a13cc220f59a50b5b52d88845b8c034d436a28444db012552ea9b146356e1018

Observation 55d8775e-f13c-457a-aa20-3a4da6df49f1 · outbound

This paper cites an unresolved cited work.

EdgeLoRA: An Efficient Multi-Tenant LLM Serving System on Edge Devices Unresolved cited work

Reference 83

Resolution
unresolved
raw_fallback, observed 2026-08-06T20:59:05.251565Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T20:59:02.240139Z digest=sha256:6ce8ab7ff158f698c4287bd2aacbe281d25e9953c8027e68f9177906a25944bf

Observation d0242b78-1758-43a1-b7a2-0571493f61ee · outbound

This paper cites Gemini: A Family of Highly Capable Multimodal Models.

EdgeLoRA: An Efficient Multi-Tenant LLM Serving System on Edge Devices Gemini: A Family of Highly Capable Multimodal Models

Reference 84

Resolution
unresolved
no resolver link, observed 2026-08-06T20:59:01.835977Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:59:01.835977Z digest=sha256:9f6814a16af4e56d751f7f27f845d31e0ef3fc842d51407e4c6fbe1690a7f9cf

Observation 23ff07f6-ccb0-43f3-beb1-d05a180084db · outbound

This paper cites FLoRA: Federated Fine-Tuning Large Language Models with Heterogeneous Low-Rank Adaptations.

EdgeLoRA: An Efficient Multi-Tenant LLM Serving System on Edge Devices FLoRA: Federated Fine-Tuning Large Language Models with Heterogeneous Low-Rank Adaptations

Reference 85

Resolution
unresolved
no resolver link, observed 2026-08-06T20:59:02.480244Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:59:02.480244Z digest=sha256:ed3b57b8a3881354ecd585aff0ac3a2889f663171f3cd83b882256c4f8f5a065

Observation fcadc5fe-ec4b-4d4d-8a9f-2026e928eeb7 · outbound

This paper cites an unresolved cited work.

EdgeLoRA: An Efficient Multi-Tenant LLM Serving System on Edge Devices Unresolved cited work

Reference 86

Resolution
unresolved
raw_fallback, observed 2026-08-06T20:59:05.145731Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T20:59:02.569226Z digest=sha256:b0f6607e74f152a12d5f4338856d2fec881518e18c0ea57950f1ae2937471758

Observation 49873064-557f-4ee1-962f-ff87032bc9c1 · outbound

This paper cites an unresolved cited work.

EdgeLoRA: An Efficient Multi-Tenant LLM Serving System on Edge Devices Unresolved cited work

Reference 87

Resolution
unresolved
raw_fallback, observed 2026-08-06T20:59:05.026959Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T20:59:02.646600Z digest=sha256:c00742c035bc5b8ce9a4e55af25cd5c4c95591ffe08841d3a99331e735aa4609

Observation 1c18de58-1efa-4ba3-9f79-c0959f7fe3db · outbound

This paper cites an unresolved cited work.

EdgeLoRA: An Efficient Multi-Tenant LLM Serving System on Edge Devices Unresolved cited work

Reference 88

Resolution
unresolved
no resolver link, observed 2026-08-06T20:59:02.104052Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:59:02.104052Z digest=sha256:cda6f16d98ba660464c26a61f82f4760df44502a612ff4ae05243fb1733dcba7

Observation e57df223-99ed-4b89-8ea7-69d3d8776c19 · outbound

This paper cites Structured Pruning Learns Compact and Accurate Models.

EdgeLoRA: An Efficient Multi-Tenant LLM Serving System on Edge Devices Structured Pruning Learns Compact and Accurate Models

Reference 89

Resolution
unresolved
no resolver link, observed 2026-08-06T20:59:02.848131Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:59:02.848131Z digest=sha256:e958764c50b7824f42d634247e5136a6f5afe93b41ed6e287b57e41cc60f5e18

Observation c018eddb-9598-44e8-b9ca-8f52602e4682 · outbound

This paper cites an unresolved cited work.

EdgeLoRA: An Efficient Multi-Tenant LLM Serving System on Edge Devices Unresolved cited work

Reference 90

Resolution
unresolved
no resolver link, observed 2026-08-06T20:59:02.917733Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:59:02.917733Z digest=sha256:6f0a611ac924d0b806c5377d936505e66d7028b67ba2a17a47ac03ed970f85dc

Observation b6dcbe22-7055-4b0b-85f0-19202e4bc1ba · outbound

This paper cites LServe: Efficient Long-sequence LLM Serving with Unified Sparse Attention.

EdgeLoRA: An Efficient Multi-Tenant LLM Serving System on Edge Devices LServe: Efficient Long-sequence LLM Serving with Unified Sparse Attention

Reference 91

Resolution
unresolved
no resolver link, observed 2026-08-06T20:59:02.976420Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:59:02.976420Z digest=sha256:3e7792c025f0eabc666359b898a381815545ef0cf823a5623572106deaa65c18

Observation 58ee5fe9-b9a1-47fb-842b-0053e92d9dce · outbound

This paper cites CLIP-GEN: Language-Free Training of a Text-to-Image Generator with CLIP.

EdgeLoRA: An Efficient Multi-Tenant LLM Serving System on Edge Devices CLIP-GEN: Language-Free Training of a Text-to-Image Generator with CLIP

Reference 92

Resolution
unresolved
no resolver link, observed 2026-08-06T20:59:02.389027Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:59:02.389027Z digest=sha256:24691edd4ee282aac1707e88a164d2066f497107f1c8e40265ac48cc094ef273

Observation 7f8b2880-ed33-413e-8938-fa173daa2f0b · outbound

This paper cites an unresolved cited work.

EdgeLoRA: An Efficient Multi-Tenant LLM Serving System on Edge Devices Unresolved cited work

Reference 93

Resolution
unresolved
no resolver link, observed 2026-08-06T20:59:03.200266Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:59:03.200266Z digest=sha256:a63456eefdf8d1037e3f5bbc6a1f9e984f7b23f63c3e5577448294ad5646b380

Observation f3df008a-d87d-4b2d-94f5-ec0652849643 · outbound

This paper cites DISC-LawLLM: Fine-tuning Large Language Models for Intelligent Legal Services.

EdgeLoRA: An Efficient Multi-Tenant LLM Serving System on Edge Devices DISC-LawLLM: Fine-tuning Large Language Models for Intelligent Legal Services

Reference 94

Resolution
unresolved
no resolver link, observed 2026-08-06T20:59:03.268870Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:59:03.268870Z digest=sha256:e570343c4a5520c17ab74ed04f54aac6a3f76b649547781d07fa258091be4d58

Observation 61b0dd77-698a-4aa1-9c60-a48d7b6b694d · outbound

This paper cites an unresolved cited work.

EdgeLoRA: An Efficient Multi-Tenant LLM Serving System on Edge Devices Unresolved cited work

Reference 95

Resolution
unresolved
raw_fallback, observed 2026-08-06T20:59:04.576782Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T20:59:03.315877Z digest=sha256:edf42826edf0f0f797ead3674ff35791caab4dac9f06c7603d9fa9c505a3a831

Observation c1ecc4ec-eb6c-4bc6-8114-cf945b7e36e4 · outbound

This paper cites an unresolved cited work.

EdgeLoRA: An Efficient Multi-Tenant LLM Serving System on Edge Devices Unresolved cited work

Reference 96

Resolution
unresolved
raw_fallback, observed 2026-08-06T20:59:04.924207Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T20:59:02.739736Z digest=sha256:3423059db15c8c1c946cc9c3c810ab6f96d49be08309a49d7513831bfe8e66e2

Observation cef7367c-e1f3-4999-a3b4-17401fa30d44 · outbound

This paper cites AdaLoRA: Adaptive Budget Allocation for Parameter-Efficient Fine-Tuning.

EdgeLoRA: An Efficient Multi-Tenant LLM Serving System on Edge Devices AdaLoRA: Adaptive Budget Allocation for Parameter-Efficient Fine-Tuning

Reference 97

Resolution
unresolved
no resolver link, observed 2026-08-06T20:59:03.487001Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:59:03.487001Z digest=sha256:aeb37e5fac06b2ae56c5698cfab8f9dee4b317afdaa8c715a7627a74e14edb50

Observation ed55f536-5a76-4541-ba7a-ddc55df54962 · outbound

This paper cites Multi-Task Instruction Tuning of LLaMa for Specific Scenarios: A Preliminary Study on Writing Assistance.

EdgeLoRA: An Efficient Multi-Tenant LLM Serving System on Edge Devices Multi-Task Instruction Tuning of LLaMa for Specific Scenarios: A Preliminary Study on Writing Assistance

Reference 98

Resolution
unresolved
no resolver link, observed 2026-08-06T20:59:03.569899Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:59:03.569899Z digest=sha256:dd8fa836fc4d1053b7251f7220840c5719d182105ca55eaecdb07f713f667484

Observation 8f9b1b4e-d052-4374-aecc-bd9166737427 · outbound

This paper cites SGLang: Efficient Execution of Structured Language Model Programs.

EdgeLoRA: An Efficient Multi-Tenant LLM Serving System on Edge Devices SGLang: Efficient Execution of Structured Language Model Programs

Reference 99

Resolution
unresolved
no resolver link, observed 2026-08-06T20:59:03.657419Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:59:03.657419Z digest=sha256:5db6daa552966ac8f8f94bcc880705222cbd64a50fbb8a7e2498769948d59c1e

Observation 7a03938a-dce3-4993-8929-29a903a25a35 · outbound

This paper cites an unresolved cited work.

EdgeLoRA: An Efficient Multi-Tenant LLM Serving System on Edge Devices Unresolved cited work

Reference 100

Resolution
unresolved
raw_fallback, observed 2026-08-06T20:59:04.831377Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T20:59:03.063732Z digest=sha256:d7b112e04d034d348d2880c4cb07dc5acb2fa98e28f4e619b30e45c834602bfe

Observation 1a9c4c75-b88a-4423-885a-8d01ccd3e7d9 · outbound

This paper cites SpecTr: Spectral Transformer for Hyperspectral Pathology Image Segmentation.

EdgeLoRA: An Efficient Multi-Tenant LLM Serving System on Edge Devices SpecTr: Spectral Transformer for Hyperspectral Pathology Image Segmentation

Reference 105

Resolution
metadata mismatch
local_arxiv, observed 2026-08-06T20:59:03.882214Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T20:59:03.380449Z digest=sha256:4a208711e945dcd9eecbfbca6dfe112fbf2ffd6736e7946fac954ec0eb257b8c

Pith citing papers

No inbound Pith citation observations are available.