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Paper Citation Record · LEDGER

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

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 12 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 12 of 12 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 12 of 12 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T10:10:22.827490Z

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

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

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

Resolution
unresolved
no resolver link, observed 2026-08-08T10:10:22.827490Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T10:10:22.827490Z digest=sha256:4d8cb97893dca44f084a681bf42165f8f7d39f11b270d68eadd409d56d412ef1

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

Resolution
unresolved
no resolver link, observed 2026-08-07T04:20:01.632451Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:20:01.632451Z digest=sha256:081c93b8c1a7f8f8fe46f71b6cd7cda84a6a3da2e8454bc022ef8f7fe352d26b

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:57:27.917106Z digest=sha256:d1a8d1ef7cd1cd49d274eb148401f1deefc8abdc725c28e6df2c6ab6feb6f818

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:36:27.577695Z digest=sha256:8a12543b1d9374c69260153d2af220d791d555bf9da58a9d1dbd3e397515421f

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:26:17.374459Z digest=sha256:d86f9196562acb67fdb671d392139930161731cf31a30d280b729a650c9fa87e

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T20:43:32.089202Z digest=sha256:5eaf0f280b503f571528033ef424f4088bbb9d14aaf99a2243d4326d0b2c0138

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

Resolution
unresolved
no resolver link, observed 2026-08-05T11:38:37.916772Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T11:38:37.916772Z digest=sha256:6515c8508fb6e1af2c2d0ec82245087d3ea50f4b7a7a8e0fa075cf5a9d2e64ac

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T19:21:36.358858Z digest=sha256:862c78c9ff371051d0ae7becf858742d2c9bf58441360e90a4fd69be8b91dea3

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

Resolution
verified exact
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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T02:52:04.676222Z digest=sha256:e253ca6809554d3d21fd5110fb95e37c04ecedaac5996ae9956b1a735cd2366f

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

Resolution
verified exact
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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-08T08:13:51.176435Z digest=sha256:7a1082ed6bed92558de8cc32ddf0362787ce796da096599bf8df281986029db1

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

Resolution
verified exact
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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-08T04:25:11.075964Z digest=sha256:6738676070aa8184bb03eaadfc0d29dd6a905fc51ad14307da2aad28f85dc49a

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

Resolution
unresolved
no resolver link, observed 2026-07-12T02:29:52.764344Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-12T02:29:52.764344Z digest=sha256:e114f4614d59901734bd03066c9b42017aa1728979185b152a1f41a046ef88fa