Paper Citation Record · LEDGER

Estudio de la eficiencia en la escalabilidad de GPUs para el entrenamiento de Inteligencia Artificial

As of 23 August 2026, this Paper Citation Record lists 27 of 27 outbound references and 0 inbound Pith citation observations for arXiv:2509.03263.

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

pith.paper-citation-record.v1
2509.03263 v1

Coverage vector

measured 27 of 27 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T16:34:50.062290Z

measured 27 of 27 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

27 of 27 outbound references displayed

verified exact0
verified fuzzy24
unresolved3
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c8bbc0f5-a149-4f68-bc9f-09a8d4835674 · outbound

This paper cites an unresolved cited work.

Estudio de la eficiencia en la escalabilidad de GPUs para el entrenamiento de Inteligencia Artificial Unresolved cited work

Reference 1

Resolution: unresolved; raw_fallback, observed 2026-08-15T16:34:50.413663Z

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 ceddcb57-2574-47f4-9abb-e235661b66f4 · outbound

This paper cites Ml- perf training benchmark,.

Estudio de la eficiencia en la escalabilidad de GPUs para el entrenamiento de Inteligencia Artificial Ml- perf training benchmark,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:34:50.401855Z

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 5a5651d9-baab-4c5d-971c-f79aac3e8d63 · outbound

This paper cites Mlcommons - training — tableau public,.

Estudio de la eficiencia en la escalabilidad de GPUs para el entrenamiento de Inteligencia Artificial Mlcommons - training — tableau public,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:34:50.390520Z

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 ed20ae29-a2b3-49ab-9858-21095e97e011 · outbound

This paper cites A container-based workflow for distribu- ted training of deep learning algorithms in hpc clusters,.

Estudio de la eficiencia en la escalabilidad de GPUs para el entrenamiento de Inteligencia Artificial A container-based workflow for distribu- ted training of deep learning algorithms in hpc clusters,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:34:50.379489Z

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 b92fc5eb-222d-431b-8b66-3ae146b445e4 · outbound

This paper cites ´ optima.

Estudio de la eficiencia en la escalabilidad de GPUs para el entrenamiento de Inteligencia Artificial ´ optima

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:34:50.426034Z

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 265ef600-a4c2-4756-80d0-91e461ac8369 · outbound

This paper cites an unresolved cited work.

Estudio de la eficiencia en la escalabilidad de GPUs para el entrenamiento de Inteligencia Artificial Unresolved cited work

Reference 6

Resolution: unresolved; raw_fallback, observed 2026-08-15T16:34:50.367908Z

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 38548ebf-74d0-4fde-9330-030a5f0e7739 · outbound

This paper cites A comprehensive sur- vey of clustering algorithms,.

Estudio de la eficiencia en la escalabilidad de GPUs para el entrenamiento de Inteligencia Artificial A comprehensive sur- vey of clustering algorithms,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:34:50.355861Z

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 bf7a8ae6-8f33-4107-90b1-4e95098ca5e1 · outbound

This paper cites Some methods for classification and analy- sis of multivariate observations,.

Estudio de la eficiencia en la escalabilidad de GPUs para el entrenamiento de Inteligencia Artificial Some methods for classification and analy- sis of multivariate observations,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:34:50.344207Z

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 01bfe145-449e-4a5d-8ead-7b8777fc51df · outbound

This paper cites Gradient-based learning applied to document recognition,.

Estudio de la eficiencia en la escalabilidad de GPUs para el entrenamiento de Inteligencia Artificial Gradient-based learning applied to document recognition,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:34:50.332507Z

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 3607418a-3be4-4f9e-8607-abeb62af1430 · outbound

This paper cites Deep learning,.

Estudio de la eficiencia en la escalabilidad de GPUs para el entrenamiento de Inteligencia Artificial Deep learning,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:34:50.320543Z

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 1bf24e44-af95-46d2-b72f-989c540248da · outbound

This paper cites Artificial neural network,.

Estudio de la eficiencia en la escalabilidad de GPUs para el entrenamiento de Inteligencia Artificial Artificial neural network,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:34:50.309647Z

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 028af7a7-2950-4040-b9e9-9a8418fe2496 · outbound

This paper cites BERT: Pre-training of Deep Bidirectio- nal Transformers for Language Understanding,.

Estudio de la eficiencia en la escalabilidad de GPUs para el entrenamiento de Inteligencia Artificial BERT: Pre-training of Deep Bidirectio- nal Transformers for Language Understanding,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:34:50.297511Z

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 aadc6c73-67ba-4f59-89fa-feb4272187e2 · outbound

This paper cites LoRA Fine-tuning Efficiently Undoes Safety Trai- ning in Llama 2-Chat 70B,.

Estudio de la eficiencia en la escalabilidad de GPUs para el entrenamiento de Inteligencia Artificial LoRA Fine-tuning Efficiently Undoes Safety Trai- ning in Llama 2-Chat 70B,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:34:50.280459Z

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 2dda6657-6a74-411e-a26d-00a46c720f66 · outbound

This paper cites Focal Loss for Dense Object Detec- tion,.

Estudio de la eficiencia en la escalabilidad de GPUs para el entrenamiento de Inteligencia Artificial Focal Loss for Dense Object Detec- tion,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:34:50.266865Z

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 87331003-a456-4a36-bb39-0600af68a5aa · outbound

This paper cites Deep residual learning for image recognition,.

Estudio de la eficiencia en la escalabilidad de GPUs para el entrenamiento de Inteligencia Artificial Deep residual learning for image recognition,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:34:50.251240Z

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 a78bdba6-56f8-4ee0-929c-c8355fd98d9e · outbound

This paper cites An introduction to con- volutional neural networks,.

Estudio de la eficiencia en la escalabilidad de GPUs para el entrenamiento de Inteligencia Artificial An introduction to con- volutional neural networks,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:34:50.239402Z

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 a08f20bc-ed17-4baf-ae6d-1e79f47478c3 · outbound

This paper cites High-Resolution Ima- ge Synthesis with Latent Diffusion Models,.

Estudio de la eficiencia en la escalabilidad de GPUs para el entrenamiento de Inteligencia Artificial High-Resolution Ima- ge Synthesis with Latent Diffusion Models,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:34:50.227096Z

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 9cc25b06-1792-4616-b1d4-7ebdab14c722 · outbound

This paper cites Cost efficient gpu cluster management for training and inference of deep learning,.

Estudio de la eficiencia en la escalabilidad de GPUs para el entrenamiento de Inteligencia Artificial Cost efficient gpu cluster management for training and inference of deep learning,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:34:50.215489Z

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 bd13db18-f1e1-4923-b863-b7c8d1e80948 · outbound

This paper cites Efficient hardware architectures for accelerating deep neural net- works: Survey,.

Estudio de la eficiencia en la escalabilidad de GPUs para el entrenamiento de Inteligencia Artificial Efficient hardware architectures for accelerating deep neural net- works: Survey,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:34:50.203151Z

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 e09b0b39-c152-4acd-8a21-3c32b503b13c · outbound

This paper cites Achieving peak performance for large language models: A systematic review,.

Estudio de la eficiencia en la escalabilidad de GPUs para el entrenamiento de Inteligencia Artificial Achieving peak performance for large language models: A systematic review,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:34:50.188951Z

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 b50beeb8-3ed8-495d-89f3-06fbd20e7bea · outbound

This paper cites Hardware Scaling Trends and Diminishing Returns in Large-Scale Distributed Training.

Estudio de la eficiencia en la escalabilidad de GPUs para el entrenamiento de Inteligencia Artificial Hardware Scaling Trends and Diminishing Returns in Large-Scale Distributed Training

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-15T16:34:50.039718Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4dd566a0-d18b-43ee-a687-985264bee772 · outbound

This paper cites Benchmarking tpu, gpu, and cpu platforms for deep learning,.

Estudio de la eficiencia en la escalabilidad de GPUs para el entrenamiento de Inteligencia Artificial Benchmarking tpu, gpu, and cpu platforms for deep learning,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:34:50.173164Z

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 9ed777b8-7d61-46a1-8094-68b73fe7ff1f · outbound

This paper cites Benchmarking contempo- rary deep learning hardware and frameworks: A survey of qualitative metrics,.

Estudio de la eficiencia en la escalabilidad de GPUs para el entrenamiento de Inteligencia Artificial Benchmarking contempo- rary deep learning hardware and frameworks: A survey of qualitative metrics,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:34:50.160056Z

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 c9bcd1f5-0e6c-4a52-afc3-00f1cdcb94cf · outbound

This paper cites Benchmarking resour- ce usage for efficient distributed deep learning,.

Estudio de la eficiencia en la escalabilidad de GPUs para el entrenamiento de Inteligencia Artificial Benchmarking resour- ce usage for efficient distributed deep learning,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:34:50.147302Z

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 7006aded-e79a-4485-8582-69a867cd1c7a · outbound

This paper cites Scaling deep learning on gpu and knights landing clusters,.

Estudio de la eficiencia en la escalabilidad de GPUs para el entrenamiento de Inteligencia Artificial Scaling deep learning on gpu and knights landing clusters,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:34:50.134677Z

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 2198f9ae-bc5f-415c-b83a-92cffcec0283 · outbound

This paper cites Paralelizaci´ on del entrenamiento de redes neuronales en sistemas heterog´ eneos,.

Estudio de la eficiencia en la escalabilidad de GPUs para el entrenamiento de Inteligencia Artificial Paralelizaci´ on del entrenamiento de redes neuronales en sistemas heterog´ eneos,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:34:50.121691Z

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 1efc3ef9-9016-4af0-8f59-d198b007cd2c · outbound

This paper cites Mlperf trai- ning benchmark,.

Estudio de la eficiencia en la escalabilidad de GPUs para el entrenamiento de Inteligencia Artificial Mlperf trai- ning benchmark,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:34:50.108062Z

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.

Pith citing papers

No inbound Pith citation observations are available.