Paper Citation Record · LEDGER

Characterizing Communication Patterns in Distributed Large Language Model Inference

As of 22 August 2026, this Paper Citation Record lists 30 of 30 outbound references and 2 inbound Pith citation observations for arXiv:2507.14392.

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

pith.paper-citation-record.v1
2507.14392 v1

Coverage vector

measured 30 of 30 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T16:14:22.749975Z

measured 32 of 32 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T04:34:35.546299Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-21T19:25:31.164622Z

Reference resolution

30 of 30 outbound references displayed

verified exact1
verified fuzzy15
unresolved13
parse uncertain0
malformed identifier0
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f7f6f7e4-9ee7-4650-9f79-c075fda31072 · outbound

This paper cites The Llama 3 Herd of Models.

Characterizing Communication Patterns in Distributed Large Language Model Inference The Llama 3 Herd of Models

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-06T16:14:20.245558Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c0c5e37e-36e5-4e85-8b19-282596ea2fb7 · outbound

This paper cites The claude 3 model family: Opus, sonnet, haiku.

Characterizing Communication Patterns in Distributed Large Language Model Inference The claude 3 model family: Opus, sonnet, haiku

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:14:26.105224Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 898989ce-65f5-4ddb-bcf9-5c3e7e650b35 · outbound

This paper cites GPT-4 Technical Report,.

Characterizing Communication Patterns in Distributed Large Language Model Inference GPT-4 Technical Report,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:14:25.965133Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 27d8bde2-d49f-4812-850e-d17b5404749f · outbound

This paper cites Training language models to follow instructions with human feedback.

Characterizing Communication Patterns in Distributed Large Language Model Inference Training language models to follow instructions with human feedback

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-06T16:14:20.382826Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c4cb8a95-8abc-48c5-8e85-1c29b7e8435b · outbound

This paper cites A Survey on Test-Time Scaling in Large Language Models: What, How, Where, and How Well?.

Characterizing Communication Patterns in Distributed Large Language Model Inference A Survey on Test-Time Scaling in Large Language Models: What, How, Where, and How Well?

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-06T16:14:20.447921Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 03030386-c598-4799-b07a-eb9f12089f0a · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

Characterizing Communication Patterns in Distributed Large Language Model Inference DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-06T16:14:20.590854Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c34bfb05-6296-4239-8975-0a0b0aa6423d · outbound

This paper cites OpenAI o1 System Card.

Characterizing Communication Patterns in Distributed Large Language Model Inference OpenAI o1 System Card

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-06T16:14:20.608396Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c5b1c772-17ab-4f31-9007-07f811b2aac8 · outbound

This paper cites Gemini 2.5: Our most intelligent AI model,.

Characterizing Communication Patterns in Distributed Large Language Model Inference Gemini 2.5: Our most intelligent AI model,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:14:25.795760Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation b333776e-13d3-4eba-a190-ef04acb32e40 · outbound

This paper cites Chain-of-Thought Prompting Elicits Reasoning in Large Language Models.

Characterizing Communication Patterns in Distributed Large Language Model Inference Chain-of-Thought Prompting Elicits Reasoning in Large Language Models

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-06T16:14:20.720354Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 845e3374-414d-47cd-b33a-9f5e5c42641e · outbound

This paper cites Demystifying the communication characteristics for distributed transformer models,.

Characterizing Communication Patterns in Distributed Large Language Model Inference Demystifying the communication characteristics for distributed transformer models,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:14:25.623647Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 3debe541-997b-460e-9697-166d699269ca · outbound

This paper cites Efficient Memory Management for Large Language Model Serving with PagedAttention.

Characterizing Communication Patterns in Distributed Large Language Model Inference Efficient Memory Management for Large Language Model Serving with PagedAttention

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-06T16:14:21.055631Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b5ae1b48-232b-4652-a54b-0d6975bfcae3 · outbound

This paper cites Megatron-LM: Training Multi-Billion Parameter Language Models Using Model Parallelism.

Characterizing Communication Patterns in Distributed Large Language Model Inference Megatron-LM: Training Multi-Billion Parameter Language Models Using Model Parallelism

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-06T16:14:21.167584Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 242a8cbc-fd82-4444-8051-22ccef1a81e0 · outbound

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

Characterizing Communication Patterns in Distributed Large Language Model Inference GPipe: Efficient Training of Giant Neural Networks using Pipeline Parallelism,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:14:25.331733Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 8af64244-a685-45ea-a63d-a93f03303454 · outbound

This paper cites NCCL Test Performance Measure- ment Guide,.

Characterizing Communication Patterns in Distributed Large Language Model Inference NCCL Test Performance Measure- ment Guide,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:14:25.157754Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation daf7e9f3-996b-4732-a0ea-e640103098fa · outbound

This paper cites An In-depth Performance Characterization of CPU- and GPU-based DNN Training on Modern Architectures,.

Characterizing Communication Patterns in Distributed Large Language Model Inference An In-depth Performance Characterization of CPU- and GPU-based DNN Training on Modern Architectures,

Reference 17

Resolution: metadata mismatch; raw_fallback, observed 2026-08-06T16:14:23.153240Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 482e231a-eb75-4407-a0be-b604861d9f41 · outbound

This paper cites Performance Characterization of DNN Training using TensorFlow and PyTorch on Modern Clusters,.

Characterizing Communication Patterns in Distributed Large Language Model Inference Performance Characterization of DNN Training using TensorFlow and PyTorch on Modern Clusters,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:14:24.953590Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation dfb4f6fb-d07d-4ed2-acc4-bbbd519c443d · outbound

This paper cites Scalable Distributed DNN Training using TensorFlow and CUDA-Aware MPI: Characterization, Designs, and Performance Evaluation,.

Characterizing Communication Patterns in Distributed Large Language Model Inference Scalable Distributed DNN Training using TensorFlow and CUDA-Aware MPI: Characterization, Designs, and Performance Evaluation,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:14:24.698379Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation d4e483c4-8f3b-4ea7-be31-ed4979f56158 · outbound

This paper cites Comparative Study of Large Language Model Architectures on Frontier ,.

Characterizing Communication Patterns in Distributed Large Language Model Inference Comparative Study of Large Language Model Architectures on Frontier ,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:14:24.473029Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation b68e47cb-fcd8-4149-8c10-ea5aa4f93914 · outbound

This paper cites Characterization of Large Language Model Development in the Datacenter,.

Characterizing Communication Patterns in Distributed Large Language Model Inference Characterization of Large Language Model Development in the Datacenter,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:14:24.228109Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 2f7cb0fb-29f3-41d6-b638-0edf2f867004 · outbound

This paper cites Demystifying the Communication Characteristics for Distributed Transformer Models.

Characterizing Communication Patterns in Distributed Large Language Model Inference Demystifying the Communication Characteristics for Distributed Transformer Models

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-06T16:14:22.052155Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d4d275a9-d7ad-4fde-87e6-5fc5e6a13512 · outbound

This paper cites Efficient memory management for large language model serving with pagedattention,.

Characterizing Communication Patterns in Distributed Large Language Model Inference Efficient memory management for large language model serving with pagedattention,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:14:24.043171Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 4d04d49b-f238-49a7-b758-7743138205b5 · outbound

This paper cites Deepspeed inference: Enabling efficient inference of transformer models at unprecedented scale,.

Characterizing Communication Patterns in Distributed Large Language Model Inference Deepspeed inference: Enabling efficient inference of transformer models at unprecedented scale,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:14:23.853610Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 33c06c03-c0e1-4092-b01d-0c5dfc994302 · outbound

This paper cites DistServe: Disaggregating Prefill and Decoding for Goodput-optimized Large Language Model Serving.

Characterizing Communication Patterns in Distributed Large Language Model Inference DistServe: Disaggregating Prefill and Decoding for Goodput-optimized Large Language Model Serving

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-06T16:14:22.357463Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 66bb4cc1-ebc0-44eb-a40f-257602f420aa · outbound

This paper cites Orca: A distributed serving system for Transformer-Based generative models,.

Characterizing Communication Patterns in Distributed Large Language Model Inference Orca: A distributed serving system for Transformer-Based generative models,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:14:23.664814Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 9b2c8f17-1800-4909-966c-c30e70aec4c7 · outbound

This paper cites Alpa: Automating Inter- and Intra-Operator Parallelism for Distributed Deep Learning.

Characterizing Communication Patterns in Distributed Large Language Model Inference Alpa: Automating Inter- and Intra-Operator Parallelism for Distributed Deep Learning

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-06T16:14:22.505766Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 20a70581-634a-44df-8f16-9b2b623cabd6 · outbound

This paper cites Efficiently scaling transformer inference,.

Characterizing Communication Patterns in Distributed Large Language Model Inference Efficiently scaling transformer inference,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:14:25.486252Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 59ab3ef0-57f1-440a-bdd6-4c5d0389c22c · outbound

This paper cites Thorough characterization and analysis of large transformer model training at-scale,.

Characterizing Communication Patterns in Distributed Large Language Model Inference Thorough characterization and analysis of large transformer model training at-scale,

Reference 29

Resolution: verified exact; doi, observed 2026-08-06T16:14:22.884430Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 8b7f616e-de53-44e7-bf53-42aa1e695d13 · outbound

This paper cites Efficiently Scaling Transformer Inference.

Characterizing Communication Patterns in Distributed Large Language Model Inference Efficiently Scaling Transformer Inference

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-06T16:14:22.520713Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 065ee7ae-a938-4bf9-a5d7-733b5d6072fd · outbound

This paper cites Welcome to TensorRT-LLM Documentation! ; TensorRT-LLM — nvidia.github.io,.

Characterizing Communication Patterns in Distributed Large Language Model Inference Welcome to TensorRT-LLM Documentation! ; TensorRT-LLM — nvidia.github.io,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:14:23.458514Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 0655cc2d-f92d-449e-a4f6-5846106c0f0a · outbound

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

Characterizing Communication Patterns in Distributed Large Language Model Inference SGLang: Efficient Execution of Structured Language Model Programs

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-06T16:14:22.675122Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation d649301e-62ca-41af-bccd-8ab53678fa17 · inbound

Understanding and Improving Communication Performance in Multi-node LLM Inference cites this paper.

Understanding and Improving Communication Performance in Multi-node LLM Inference Characterizing Communication Patterns in Distributed Large Language Model Inference

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-05-21T19:25:31.166510Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation a11c5779-1500-4ce1-b256-9c3d2477a22c · inbound

C2C-Explorer: An Exploration Framework for Chip-to-Chip Interconnect Architectures in LLM Cloud Computing Systems cites this paper.

C2C-Explorer: An Exploration Framework for Chip-to-Chip Interconnect Architectures in LLM Cloud Computing Systems Characterizing Communication Patterns in Distributed Large Language Model Inference

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-14T04:34:35.546299Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.