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Paper Citation Record · LEDGER

Efficient Training of Large Language Models on Distributed Infrastructures: A Survey

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 21 inbound Pith citation observations for arXiv:2407.20018.

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

pith.paper-citation-record.v1
2407.20018 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 21 of 21 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 21 of 21 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:59:48.181772Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T21:46:41.579709Z

Reference resolution

0 of 0 outbound references displayed

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Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation b3303931-8436-4e1c-b87e-27fcafcf2e7a · inbound

Topology-aware Preemptive Scheduling for Co-located LLM Workloads cites this paper.

Topology-aware Preemptive Scheduling for Co-located LLM Workloads Efficient Training of Large Language Models on Distributed Infrastructures: A Survey

Reference 2

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no resolver link, observed 2026-08-12T18:28:01.433698Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T18:28:01.433698Z digest=sha256:ced77408abf88e540b59a60cc8384b16ebd88060023f1bee617141d4b7741720

Observation c6c35b6b-35c6-4ae0-b82c-e0690f883c38 · inbound

Echo: Simulating Distributed Training At Scale cites this paper.

Echo: Simulating Distributed Training At Scale Efficient Training of Large Language Models on Distributed Infrastructures: A Survey

Reference 16

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no resolver link, observed 2026-08-11T14:06:29.432679Z

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source=pdf_text observed=2026-08-11T14:06:29.432679Z digest=sha256:6286b7c657c829565ea16d54413858cede6007a02d74ea53b0fec4178df42fa1

Observation b7d1cb3d-82fc-453c-be89-0574bc0e903d · inbound

Memory Offloading for Large Language Model Inference with Latency SLO Guarantees cites this paper.

Memory Offloading for Large Language Model Inference with Latency SLO Guarantees Efficient Training of Large Language Models on Distributed Infrastructures: A Survey

Reference 21

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Observation 71d17c10-4433-4528-9d0b-f4faa7d17752 · inbound

PEFT A2Z: Parameter-Efficient Fine-Tuning Survey for Large Language and Vision Models cites this paper.

PEFT A2Z: Parameter-Efficient Fine-Tuning Survey for Large Language and Vision Models Efficient Training of Large Language Models on Distributed Infrastructures: A Survey

Reference 151

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no resolver link, observed 2026-08-16T11:59:48.181772Z

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source=pdf_text observed=2026-08-16T11:59:48.181772Z digest=sha256:e685e1b91d4a31fced81ff047ddccbc37598556b5345ad48d8a4303b60dba428

Observation e06b3771-c36e-47b4-bf29-4edc75d60652 · inbound

Low-Precision Training of Large Language Models: Methods, Challenges, and Opportunities cites this paper.

Low-Precision Training of Large Language Models: Methods, Challenges, and Opportunities Efficient Training of Large Language Models on Distributed Infrastructures: A Survey

Reference 6

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no resolver link, observed 2026-08-16T04:30:55.928623Z

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source=pdf_text observed=2026-08-16T04:30:55.928623Z digest=sha256:84e1c0fd6f6787d02af7ed7dc1565e5b7bc3441f2990d74278e010203828ed4d

Observation 532949e7-bbdd-48d9-b4c6-6c53921de3f6 · inbound

ATLAHS: An Application-centric Network Simulator Toolchain for AI, HPC, and Distributed Storage cites this paper.

ATLAHS: An Application-centric Network Simulator Toolchain for AI, HPC, and Distributed Storage Efficient Training of Large Language Models on Distributed Infrastructures: A Survey

Reference 26

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no resolver link, observed 2026-08-15T21:48:08.168497Z

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source=pdf_text observed=2026-08-15T21:48:08.168497Z digest=sha256:9dfc0d25625837f15ba0a7dd6ba28920779402ab2e36619368bb0fd2fff7afaf

Observation f224d007-6dec-47d3-8e8b-2d41a0bad552 · inbound

A Survey of Real-time Scheduling on Accelerator-based Heterogeneous Architecture for Time Critical Applications cites this paper.

A Survey of Real-time Scheduling on Accelerator-based Heterogeneous Architecture for Time Critical Applications Efficient Training of Large Language Models on Distributed Infrastructures: A Survey

Reference 24

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no resolver link, observed 2026-08-15T20:46:15.616433Z

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Observation 3d5e7229-2610-4f2b-abed-b6b0bcffde8e · inbound

EfficientLLM: Efficiency in Large Language Models cites this paper.

EfficientLLM: Efficiency in Large Language Models Efficient Training of Large Language Models on Distributed Infrastructures: A Survey

Reference 67

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source=arxiv_source observed=2026-08-15T20:13:34.773701Z digest=sha256:b50e61a8e75e94afd548199b1bdc8f20852419b5fbafb337e553c2fb4ec85cf8

Observation dc4ae879-c1d3-40eb-9951-968107914fb6 · inbound

NoLoCo: No-all-reduce Low Communication Training Method for Large Models cites this paper.

NoLoCo: No-all-reduce Low Communication Training Method for Large Models Efficient Training of Large Language Models on Distributed Infrastructures: A Survey

Reference 7

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source=pdf_text observed=2026-08-07T04:20:01.632451Z digest=sha256:d3b5e7d6f01388fa6d69d2b8520da840c052e3a38968fcffc0577e5a44f8a99e

Observation 5917def7-4065-456e-88a7-3ee1ba41bf59 · inbound

The Foundation Cracks: A Comprehensive Study on Bugs and Testing Practices in LLM Libraries cites this paper.

The Foundation Cracks: A Comprehensive Study on Bugs and Testing Practices in LLM Libraries Efficient Training of Large Language Models on Distributed Infrastructures: A Survey

Reference 7

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no resolver link, observed 2026-08-07T00:57:27.917106Z

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source=pdf_text observed=2026-08-07T00:57:27.917106Z digest=sha256:5ac203d192eaedfa97d430ef96e490f6be749681fd3f5e81c6b5bc83090556ff

Observation ef5a41be-ff07-4dd8-bc1b-df9f3f17e670 · inbound

Software Engineering for Large Language Models: Research Status, Challenges and the Road Ahead cites this paper.

Software Engineering for Large Language Models: Research Status, Challenges and the Road Ahead Efficient Training of Large Language Models on Distributed Infrastructures: A Survey

Reference 67

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no resolver link, observed 2026-08-06T21:36:27.577695Z

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source=pdf_text observed=2026-08-06T21:36:27.577695Z digest=sha256:dc417bfee5452773c006b35410268fb3908bc517a52ec8e78ab54e688bf8579f

Observation b4af7f71-11eb-4124-a539-42d8228ec06a · inbound

CrossPipe: Towards Optimal Pipeline Schedules for Cross-Datacenter Training cites this paper.

CrossPipe: Towards Optimal Pipeline Schedules for Cross-Datacenter Training Efficient Training of Large Language Models on Distributed Infrastructures: A Survey

Reference 11

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no resolver link, observed 2026-08-06T21:26:17.374459Z

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source=pdf_text observed=2026-08-06T21:26:17.374459Z digest=sha256:89d5bac2197ec82a62752c71c7439f1c837b62dff83e6f5506fae8d5b8e0802e

Observation f34bc46b-50b5-4b02-98f6-8f1328229a62 · inbound

SAKURAONE: Empowering Transparent and Open AI Platforms through Private-Sector HPC Investment in Japan cites this paper.

SAKURAONE: Empowering Transparent and Open AI Platforms through Private-Sector HPC Investment in Japan Efficient Training of Large Language Models on Distributed Infrastructures: A Survey

Reference 4

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no resolver link, observed 2026-08-06T20:43:32.089202Z

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source=arxiv_source observed=2026-08-06T20:43:32.089202Z digest=sha256:a22f09837c0ca07235d2a91e380e6f335ce48806b831a9aade09c3cc8fa0513b

Observation 0ec273a2-c8b4-4b1d-9ea9-7c38ba6a7a53 · inbound

RailX: A Flexible, Scalable, and Low-Cost Network Architecture for Hyper-Scale LLM Training Systems cites this paper.

RailX: A Flexible, Scalable, and Low-Cost Network Architecture for Hyper-Scale LLM Training Systems Efficient Training of Large Language Models on Distributed Infrastructures: A Survey

Reference 31

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source=pdf_text observed=2026-08-15T18:22:47.915827Z digest=sha256:ab531ed756256a9bc0098f55e8609e6792882d04be6a0e87bd6e4637a60d8b6a

Observation b2f3e50e-429e-49c5-a34f-2335320523e8 · inbound

MLP-Offload: Multi-Level, Multi-Path Offloading for LLM Pre-training to Break the GPU Memory Wall cites this paper.

MLP-Offload: Multi-Level, Multi-Path Offloading for LLM Pre-training to Break the GPU Memory Wall Efficient Training of Large Language Models on Distributed Infrastructures: A Survey

Reference 9

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source=pdf_text observed=2026-08-05T11:38:37.916772Z digest=sha256:63d37ef60ec00d0f3551623f83779cbd96288436a6d69e31c049c2804a398006

Observation 9d05668e-6d71-4f22-80a7-4fda4f38d769 · inbound

FlashRecovery: Fast and Low-Cost Recovery from Failures for Large-Scale Training of LLMs cites this paper.

FlashRecovery: Fast and Low-Cost Recovery from Failures for Large-Scale Training of LLMs Efficient Training of Large Language Models on Distributed Infrastructures: A Survey

Reference 20

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no resolver link, observed 2026-08-15T16:37:58.502783Z

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source=pdf_text observed=2026-08-15T16:37:58.502783Z digest=sha256:234acc5c01410e77bd4ec4f024107fa296ec6e034855ef7ded6b1191082a0aa6

Observation 00f2ef55-9fe8-4264-96dc-1c6bd9358894 · inbound

Joint Partitioning and Placement of Foundation Models for Real-Time Edge AI cites this paper.

Joint Partitioning and Placement of Foundation Models for Real-Time Edge AI Efficient Training of Large Language Models on Distributed Infrastructures: A Survey

Reference 9

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no resolver link, observed 2026-08-03T19:21:36.358858Z

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source=pdf_text observed=2026-08-03T19:21:36.358858Z digest=sha256:09eb56d93f98161f9c8c4b3d522782c423243dd39892d99e031b0c60fa2d19a0

Observation 35de0436-c3a4-484f-9168-1ffb5cd22212 · inbound

ChipLight: Cross-Layer Optimization of Chiplet Design with Optical Interconnects for LLM Training cites this paper.

ChipLight: Cross-Layer Optimization of Chiplet Design with Optical Interconnects for LLM Training Efficient Training of Large Language Models on Distributed Infrastructures: A Survey

Reference 3

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arxiv_id, observed 2026-05-10T02:53:29.559405Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 48726fde-754e-426c-a80f-d1b89877c04d · inbound

Hybrid JIT-CUDA Graph Optimization for Low-Latency Large Language Model Inference cites this paper.

Hybrid JIT-CUDA Graph Optimization for Low-Latency Large Language Model Inference Efficient Training of Large Language Models on Distributed Infrastructures: A Survey

Reference 5

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arxiv_id, observed 2026-05-11T20:41:14.281289Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-08T08:13:51.176435Z digest=sha256:29e1438bea8e44d31db8fee267436e401bae9372eba2d9b2fd54ad6fdd54d0e5

Observation 0022a8f5-28ce-4012-a5fb-decb4f70c9d3 · inbound

CommFuse: Hiding Tail Latency via Communication Decomposition and Fusion for Distributed LLM Training cites this paper.

CommFuse: Hiding Tail Latency via Communication Decomposition and Fusion for Distributed LLM Training Efficient Training of Large Language Models on Distributed Infrastructures: A Survey

Reference 7

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arxiv_id, observed 2026-05-11T21:46:41.715760Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-08T04:25:11.075964Z digest=sha256:9c0b8fd806a0eab7414f0aff05de3b7ebe7fc2246b2d41b60b4194ef50efeae7

Observation 1b1de13c-ecb6-40ec-8e2b-b8ba318d603e · inbound

Design-CP: Context Parallelism for Design of Protein Nanoparticles cites this paper.

Design-CP: Context Parallelism for Design of Protein Nanoparticles Efficient Training of Large Language Models on Distributed Infrastructures: A Survey

Reference 70

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