Paper Citation Record · LEDGER

NNTile: a machine learning framework capable of training extremely large GPT language models on a single node

As of 23 August 2026, this Paper Citation Record lists 21 of 21 outbound references and 0 inbound Pith citation observations for arXiv:2504.13236.

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

pith.paper-citation-record.v1
2504.13236 v1

Coverage vector

measured 21 of 21 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T12:17:39.804430Z

measured 21 of 21 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+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

21 of 21 outbound references displayed

verified exact0
verified fuzzy11
unresolved10
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 62695e59-c9dd-491b-a756-bfa3ce51bf88 · outbound

This paper cites an unresolved cited work.

NNTile: a machine learning framework capable of training extremely large GPT language models on a single node Unresolved cited work

Reference 1

Resolution: unresolved; raw_fallback, observed 2026-08-16T12:17:40.125394Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 60842bd5-c7ed-4157-9f53-1f1d539f19c7 · outbound

This paper cites Vaswani, N.

NNTile: a machine learning framework capable of training extremely large GPT language models on a single node Vaswani, N

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:17:40.111827Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation bcc0055a-fdc1-4cde-ab44-8a5a49203211 · outbound

This paper cites Scaling Laws for Neural Language Models.

NNTile: a machine learning framework capable of training extremely large GPT language models on a single node Scaling Laws for Neural Language Models

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-16T12:17:39.722712Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d42d8ce3-6bcc-46de-9ae8-34ce565d96eb · outbound

This paper cites Hoffmann, S.

NNTile: a machine learning framework capable of training extremely large GPT language models on a single node Hoffmann, S

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:17:40.098138Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 2be7aea8-9ac9-4d7d-bc82-f734f9810d65 · outbound

This paper cites Rasley, S.

NNTile: a machine learning framework capable of training extremely large GPT language models on a single node Rasley, S

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:17:40.083938Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation d8e36b04-710e-4711-8a11-3aa8cc4aa20e · outbound

This paper cites Deepspeed-inference: enabling efficient inference of transformer models at unprecedented scale.

NNTile: a machine learning framework capable of training extremely large GPT language models on a single node Deepspeed-inference: enabling efficient inference of transformer models at unprecedented scale

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:17:40.069139Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation d18518d4-5e76-4de3-a380-16cd3c5ce868 · outbound

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

NNTile: a machine learning framework capable of training extremely large GPT language models on a single node Megatron-LM: Training Multi-Billion Parameter Language Models Using Model Parallelism

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-16T12:17:39.741139Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation af585837-20ad-4b2a-8da2-e0e9cb67da58 · outbound

This paper cites Using DeepSpeed and Megatron to Train Megatron-Turing NLG 530B, A Large-Scale Generative Language Model.

NNTile: a machine learning framework capable of training extremely large GPT language models on a single node Using DeepSpeed and Megatron to Train Megatron-Turing NLG 530B, A Large-Scale Generative Language Model

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-16T12:17:39.746409Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c7b91100-0e4b-470e-b99b-6d32b1b964c9 · outbound

This paper cites Korthikanti, J.

NNTile: a machine learning framework capable of training extremely large GPT language models on a single node Korthikanti, J

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:17:40.054198Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 7632246f-237e-44d3-ae61-f4745e67c4da · outbound

This paper cites Jiang, H.

NNTile: a machine learning framework capable of training extremely large GPT language models on a single node Jiang, H

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:17:40.036948Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 6e5a3301-c468-41b0-80c5-ec2bb3ed85bc · outbound

This paper cites Pytorch: An imperative style, high-performance deep learning library.

NNTile: a machine learning framework capable of training extremely large GPT language models on a single node Pytorch: An imperative style, high-performance deep learning library

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:17:40.021515Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 0868ae92-2393-467d-b614-ea93ebb61926 · outbound

This paper cites PyTorch FSDP: Experiences on Scaling Fully Sharded Data Parallel.

NNTile: a machine learning framework capable of training extremely large GPT language models on a single node PyTorch FSDP: Experiences on Scaling Fully Sharded Data Parallel

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-16T12:17:39.764362Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 10ebc212-fef4-4d13-a586-c46fdf45980b · outbound

This paper cites Survey on efficient training of large neural networks.

NNTile: a machine learning framework capable of training extremely large GPT language models on a single node Survey on efficient training of large neural networks

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:17:40.006608Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 55b5ebb2-29b7-4cd3-a23c-a09e9981c9dd · outbound

This paper cites The Falcon Series of Open Language Models.

NNTile: a machine learning framework capable of training extremely large GPT language models on a single node The Falcon Series of Open Language Models

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-16T12:17:39.773213Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1b8e6874-fb88-4947-a51b-fd622adec78d · outbound

This paper cites StarPU: A Unified Plat- form for Task Scheduling on Heterogeneous Multicore Architectures.

NNTile: a machine learning framework capable of training extremely large GPT language models on a single node StarPU: A Unified Plat- form for Task Scheduling on Heterogeneous Multicore Architectures

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:17:39.991945Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 4adfd3cf-ea36-4fc5-b919-e982a7ad440c · outbound

This paper cites A hybridization methodology for high-performance linear algebra software for gpus.

NNTile: a machine learning framework capable of training extremely large GPT language models on a single node A hybridization methodology for high-performance linear algebra software for gpus

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:17:39.976930Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 3850ef14-8469-4c5a-af09-b94ca7fe8208 · outbound

This paper cites Layer Normalization.

NNTile: a machine learning framework capable of training extremely large GPT language models on a single node Layer Normalization

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-16T12:17:39.786539Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8c766d9e-7cbb-49b7-b65b-cb9eeea70cdc · outbound

This paper cites On layer normalization in the transformer architecture.

NNTile: a machine learning framework capable of training extremely large GPT language models on a single node On layer normalization in the transformer architecture

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-16T12:17:39.791701Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 790043bf-492e-47e6-be35-f1b16f827c4c · outbound

This paper cites Accelerated optimization for machine learning.

NNTile: a machine learning framework capable of training extremely large GPT language models on a single node Accelerated optimization for machine learning

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:17:39.951813Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 713a7ab2-a663-4fd7-94d7-ed8a61deb584 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

NNTile: a machine learning framework capable of training extremely large GPT language models on a single node Adam: A Method for Stochastic Optimization

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-16T12:17:39.800076Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4b9cbf1b-5945-4c4c-9621-8cd7bac7917c · outbound

This paper cites Decoupled Weight Decay Regularization.

NNTile: a machine learning framework capable of training extremely large GPT language models on a single node Decoupled Weight Decay Regularization

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-16T12:17:39.804430Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.