Paper Citation Record · LEDGER

Model-Distributed Inference for Large Language Models at the Edge

As of 18 August 2026, this Paper Citation Record lists 30 of 30 outbound references and 2 inbound Pith citation observations for arXiv:2505.18164.

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

pith.paper-citation-record.v1
2505.18164 v1

Coverage vector

measured 30 of 30 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T21:57:59.591445Z

measured 32 of 32 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T21:16:14.906505Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T21:16:15.431897Z

Reference resolution

30 of 30 outbound references displayed

verified exact3
verified fuzzy17
unresolved10
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 95637eb9-92c5-4d3d-bab9-e2531ce3eac7 · outbound

This paper cites Language models are unsupervised multitask learners,.

Model-Distributed Inference for Large Language Models at the Edge Language models are unsupervised multitask learners,

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-15T21:57:59.446989Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f677d7dd-cf37-41b8-90d2-cee6e4d20c7b · outbound

This paper cites Language models are few-shot learners,.

Model-Distributed Inference for Large Language Models at the Edge Language models are few-shot learners,

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-15T21:57:59.452822Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c9126483-bd56-4215-b064-45f795f66e98 · outbound

This paper cites Palm: Scaling language modeling with pathways,.

Model-Distributed Inference for Large Language Models at the Edge Palm: Scaling language modeling with pathways,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:58:00.128150Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 62312ee9-7914-4f91-a4aa-938103d337b9 · outbound

This paper cites Edge computing with artificial intelligence: A machine learning perspective,.

Model-Distributed Inference for Large Language Models at the Edge Edge computing with artificial intelligence: A machine learning perspective,

Reference 4

Resolution: verified exact; doi, observed 2026-08-15T21:57:59.645945Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 628398d8-aa36-40d5-914a-5c042902a590 · outbound

This paper cites Deep learning with edge computing: A review,.

Model-Distributed Inference for Large Language Models at the Edge Deep learning with edge computing: A review,

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-15T21:57:59.468058Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d4944daa-c623-493e-8653-f6ca9c93b565 · outbound

This paper cites Megatron-lm: Training multi-billion parameter language models using model parallelism,.

Model-Distributed Inference for Large Language Models at the Edge Megatron-lm: Training multi-billion parameter language models using model parallelism,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:58:00.097966Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation e7353d3f-ed2c-4b53-91a0-4a9decf6ce73 · outbound

This paper cites Tesseract: Parallelize the tensor parallelism efficiently,.

Model-Distributed Inference for Large Language Models at the Edge Tesseract: Parallelize the tensor parallelism efficiently,

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-15T21:57:59.479627Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 61e18f29-fff9-40e2-b615-4b3415000108 · outbound

This paper cites Efficient and robust parallel dnn training through model parallelism on multi-gpu platform,.

Model-Distributed Inference for Large Language Models at the Edge Efficient and robust parallel dnn training through model parallelism on multi-gpu platform,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:58:00.080231Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation d89b69c4-595d-42d1-9a10-03446c5873c7 · outbound

This paper cites GPipe: Efficient Training of Giant Neural Networks using Pipeline Parallelism.

Model-Distributed Inference for Large Language Models at the Edge GPipe: Efficient Training of Giant Neural Networks using Pipeline Parallelism

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-15T21:57:59.489906Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 495f69a9-0b90-4244-961e-78685448aac1 · outbound

This paper cites Pipeline parallelism for inference on heterogeneous edge computing,.

Model-Distributed Inference for Large Language Models at the Edge Pipeline parallelism for inference on heterogeneous edge computing,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:58:00.058387Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 646ad772-f0d2-41f4-8273-e5ad48b47032 · outbound

This paper cites Respipe: Resilient model- distributed dnn training at edge networks,.

Model-Distributed Inference for Large Language Models at the Edge Respipe: Resilient model- distributed dnn training at edge networks,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:58:00.038579Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 49e96633-c261-4468-838e-cdfdace489ee · outbound

This paper cites Adaptive and resilient model-distributed inference in edge computing systems,.

Model-Distributed Inference for Large Language Models at the Edge Adaptive and resilient model-distributed inference in edge computing systems,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:58:00.009187Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation b72e0b55-87bd-4ba4-8324-db20f1c1d60a · outbound

This paper cites Model-distributed inference in multi-source edge networks,.

Model-Distributed Inference for Large Language Models at the Edge Model-distributed inference in multi-source edge networks,

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-15T21:57:59.509682Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 01d6f3d0-6451-421b-b438-94c350ed7985 · outbound

This paper cites Early-exit meets model- distributed inference at edge networks,.

Model-Distributed Inference for Large Language Models at the Edge Early-exit meets model- distributed inference at edge networks,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:57:59.979272Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation d0c57d17-cda0-446e-ab07-3b4cbedb9bc2 · outbound

This paper cites Priority-Aware Model-Distributed Inference at Edge Networks.

Model-Distributed Inference for Large Language Models at the Edge Priority-Aware Model-Distributed Inference at Edge Networks

Reference 15

Resolution: verified exact; local_arxiv, observed 2026-08-15T21:57:59.684478Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 14195f80-d71e-4424-8732-3eba3a9f4336 · outbound

This paper cites Efficiently scaling transformer inference,.

Model-Distributed Inference for Large Language Models at the Edge Efficiently scaling transformer inference,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:57:59.963966Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 5768090c-0044-472a-92ff-75559bcc1522 · outbound

This paper cites Gqa: Training generalized multi-query transformer models from multi-head checkpoints,.

Model-Distributed Inference for Large Language Models at the Edge Gqa: Training generalized multi-query transformer models from multi-head checkpoints,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:57:59.947990Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 12fd596c-2555-4dc8-b749-bd36759556d0 · outbound

This paper cites A survey of quantization methods for efficient neural network inference,.

Model-Distributed Inference for Large Language Models at the Edge A survey of quantization methods for efficient neural network inference,

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-15T21:57:59.533635Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e753efd3-1895-40fd-bd45-6de56050f48c · outbound

This paper cites Atom: Low-bit quantization for efficient and accurate llm serving,.

Model-Distributed Inference for Large Language Models at the Edge Atom: Low-bit quantization for efficient and accurate llm serving,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:57:59.921588Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 66584ea7-29b5-4791-b23f-eb5406095174 · outbound

This paper cites Com- pressing llms: The truth is rarely pure and never simple,.

Model-Distributed Inference for Large Language Models at the Edge Com- pressing llms: The truth is rarely pure and never simple,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:57:59.905881Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 76e974f7-9517-4dde-82cf-cac69f9d99e2 · outbound

This paper cites A simple and effective pruning approach for large language models,.

Model-Distributed Inference for Large Language Models at the Edge A simple and effective pruning approach for large language models,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:57:59.890106Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation dc6b8f19-16fc-4c42-9c22-94d6d900600d · outbound

This paper cites Knowledge distillation: A survey,.

Model-Distributed Inference for Large Language Models at the Edge Knowledge distillation: A survey,

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-15T21:57:59.552584Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 94f4f844-eae4-4af8-acb1-9b8793d968ff · outbound

This paper cites Pipeline Parallelism for Inference on Heterogeneous Edge Computing.

Model-Distributed Inference for Large Language Models at the Edge Pipeline Parallelism for Inference on Heterogeneous Edge Computing

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-15T21:57:59.557241Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4481ed09-e22b-4071-8b96-cf09fcaa5ae2 · outbound

This paper cites Jarvis: Disjoint large language models on radio vlans for intelligent services,.

Model-Distributed Inference for Large Language Models at the Edge Jarvis: Disjoint large language models on radio vlans for intelligent services,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:57:59.863526Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 824619dc-b6ec-415b-9ae0-76294125196d · outbound

This paper cites Edgeci: Distributed workload assignment and model partitioning for cnn inference on edge clusters,.

Model-Distributed Inference for Large Language Models at the Edge Edgeci: Distributed workload assignment and model partitioning for cnn inference on edge clusters,

Reference 25

Resolution: verified exact; doi, observed 2026-08-15T21:57:59.629432Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation a00ff37b-bc4f-4216-83d0-6cb2ca967f7b · outbound

This paper cites AI, “Litgpt,” https://github.com/Lightning-AI/litgpt, 2023.

Model-Distributed Inference for Large Language Models at the Edge AI, “Litgpt,” https://github.com/Lightning-AI/litgpt, 2023

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:57:59.848123Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation bfa5025b-4f3b-4df9-963b-48539e8a071e · outbound

This paper cites Llama 2: Open foundation and fine-tuned chat models,.

Model-Distributed Inference for Large Language Models at the Edge Llama 2: Open foundation and fine-tuned chat models,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:57:59.831810Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation d1d2f354-98a1-4397-8959-029bfb0edbc3 · outbound

This paper cites Jetson tx2 technical specifications,.

Model-Distributed Inference for Large Language Models at the Edge Jetson tx2 technical specifications,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:57:59.815353Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 1f67f47d-9106-4c7c-9f10-de08eac0335f · outbound

This paper cites Tiny shakespeare data set,.

Model-Distributed Inference for Large Language Models at the Edge Tiny shakespeare data set,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:57:59.798567Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 33e59ab2-bef1-4725-98f0-ed11d968fd2e · outbound

This paper cites Tinyllama: An open-source small language model,.

Model-Distributed Inference for Large Language Models at the Edge Tinyllama: An open-source small language model,

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-15T21:57:59.591445Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 7b35db66-90a4-48d3-ba5b-4a2e966d2243 · 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 Model-Distributed Inference for Large Language Models at the Edge

Reference 127

Resolution: verified exact; local_arxiv, observed 2026-08-06T21:16:15.435190Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 14eb9ad3-7754-4145-83bc-fda54e6cdfab · inbound

Cost and Accuracy of Long-Term Memory in Distributed Multi-Agent Systems Based on Large Language Models cites this paper.

Cost and Accuracy of Long-Term Memory in Distributed Multi-Agent Systems Based on Large Language Models Model-Distributed Inference for Large Language Models at the Edge

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-03T11:01:43.546924Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.