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Paper Citation Record · LEDGER

EMLIO: Minimizing I/O Latency and Energy Consumption for Large-Scale AI Training

As of 17 August 2026, this Paper Citation Record lists 54 of 54 outbound references and 0 inbound Pith citation observations for arXiv:2508.11035.

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

pith.paper-citation-record.v1
2508.11035 v1

Coverage vector

measured 54 of 54 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T17:34:48.930887Z

measured 54 of 54 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 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

54 of 54 outbound references displayed

  • verified exact3
  • verified fuzzy4
  • unresolved46
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 9ea04923-27f0-42e6-b3bf-a9b8d467de60 · outbound

This paper cites an unresolved cited work.

EMLIO: Minimizing I/O Latency and Energy Consumption for Large-Scale AI Training Unresolved cited work

Reference 1

Resolution
unresolved
raw_fallback, observed 2026-08-15T17:34:49.885776Z

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 c8172e0e-1cd3-4021-9f6b-660e55478588 · outbound

This paper cites an unresolved cited work.

EMLIO: Minimizing I/O Latency and Energy Consumption for Large-Scale AI Training Unresolved cited work

Reference 2

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raw_fallback, observed 2026-08-15T17:34:49.874116Z

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=2026-08-15T17:34:48.733341Z digest=sha256:8b08cb5183b8bcb8b243426f693283d0bfec00898bb9f66a2e791483cc622f09

Observation dede2ff5-f2e7-40b7-8da9-3291495cd82b · outbound

This paper cites an unresolved cited work.

EMLIO: Minimizing I/O Latency and Energy Consumption for Large-Scale AI Training Unresolved cited work

Reference 3

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raw_fallback, observed 2026-08-15T17:34:49.850118Z

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 7fcfd85b-09f8-4e76-8921-b48343a45ab0 · outbound

This paper cites YouTube-8M: A Large-Scale Video Classification Benchmark.

EMLIO: Minimizing I/O Latency and Energy Consumption for Large-Scale AI Training YouTube-8M: A Large-Scale Video Classification Benchmark

Reference 4

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no resolver link, observed 2026-08-15T17:34:48.745100Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:34:48.745100Z digest=sha256:cd6bb7079d01fe6c87f4f340302d60628fd6ce2374a45cfbbf6e07949ca3e54d

Observation c7e14903-c975-43f1-9f91-a6187c972b9e · outbound

This paper cites an unresolved cited work.

EMLIO: Minimizing I/O Latency and Energy Consumption for Large-Scale AI Training Unresolved cited work

Reference 5

Resolution
unresolved
raw_fallback, observed 2026-08-15T17:34:49.839318Z

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 d4d5d14a-b38c-4623-8196-94fbc38c7b6f · outbound

This paper cites an unresolved cited work.

EMLIO: Minimizing I/O Latency and Energy Consumption for Large-Scale AI Training Unresolved cited work

Reference 6

Resolution
unresolved
raw_fallback, observed 2026-08-15T17:34:49.827954Z

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 80524da2-308e-4a5c-ab8e-e57afcee7b37 · outbound

This paper cites an unresolved cited work.

EMLIO: Minimizing I/O Latency and Energy Consumption for Large-Scale AI Training Unresolved cited work

Reference 7

Resolution
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raw_fallback, observed 2026-08-15T17:34:49.817728Z

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=2026-08-15T17:34:48.756840Z digest=sha256:f43a21cd6c6b02ff90325e7db2eb2c8827628f6d45085bfc7add680f5ccd62f4

Observation cc64288b-1f5e-4a93-8fe9-f38a6c53c92c · outbound

This paper cites cuDNN: Efficient Primitives for Deep Learning.

EMLIO: Minimizing I/O Latency and Energy Consumption for Large-Scale AI Training cuDNN: Efficient Primitives for Deep Learning

Reference 8

Resolution
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no resolver link, observed 2026-08-15T17:34:48.760793Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:34:48.760793Z digest=sha256:c528d9d78b964d1c91c2969cdcc60769e60699e0f7eb08ae4cbee41fc1f2ac4e

Observation 3a55ad6a-3c7d-4124-81a7-b94004813872 · outbound

This paper cites an unresolved cited work.

EMLIO: Minimizing I/O Latency and Energy Consumption for Large-Scale AI Training Unresolved cited work

Reference 9

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raw_fallback, observed 2026-08-15T17:34:49.805573Z

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 1a769a00-46e6-4ade-946d-635956bd2ced · outbound

This paper cites an unresolved cited work.

EMLIO: Minimizing I/O Latency and Energy Consumption for Large-Scale AI Training Unresolved cited work

Reference 10

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raw_fallback, observed 2026-08-15T17:34:49.793970Z

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=2026-08-15T17:34:48.768474Z digest=sha256:1b55aa566cc3f3cfb1b7d27e1c518313dc12fb02866b436a9264e246fa93aab6

Observation 75095624-9f4d-4599-a9b2-29e38767de27 · outbound

This paper cites an unresolved cited work.

EMLIO: Minimizing I/O Latency and Energy Consumption for Large-Scale AI Training Unresolved cited work

Reference 11

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no resolver link, observed 2026-08-15T17:34:48.772175Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:34:48.772175Z digest=sha256:e409ccaf4d775358419cda7b126be07d77d181671ee5e4fd4effebd41b10b0e7

Observation a8609e8c-d60a-42af-9220-e1b0c653b25c · outbound

This paper cites an unresolved cited work.

EMLIO: Minimizing I/O Latency and Energy Consumption for Large-Scale AI Training Unresolved cited work

Reference 12

Resolution
unresolved
raw_fallback, observed 2026-08-15T17:34:49.781708Z

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=2026-08-15T17:34:48.775855Z digest=sha256:371bca8b070c3b8775ad2d3275cc7fb1eb9a50b1e0a3a539cdb3bbda351cd6fb

Observation 82cdb9e0-50a4-4944-89df-a092bbd0f1e9 · outbound

This paper cites an unresolved cited work.

EMLIO: Minimizing I/O Latency and Energy Consumption for Large-Scale AI Training Unresolved cited work

Reference 14

Resolution
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raw_fallback, observed 2026-08-15T17:34:49.770339Z

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=2026-08-15T17:34:48.782963Z digest=sha256:38d3ada943711a5d039136bf5e7dd9a5624fc7f729976205d19f8d6e640265c3

Observation 87bad827-1d1d-411a-96a7-1666d78aeac0 · outbound

This paper cites Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour.

EMLIO: Minimizing I/O Latency and Energy Consumption for Large-Scale AI Training Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-15T17:34:48.786424Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:34:48.786424Z digest=sha256:0d2752590fe0bb741f255388d8616d65fcdbd5eee15b67832530934f1735c3bc

Observation 48f31a16-942b-4d9c-a37a-a19193036c66 · outbound

This paper cites an unresolved cited work.

EMLIO: Minimizing I/O Latency and Energy Consumption for Large-Scale AI Training Unresolved cited work

Reference 16

Resolution
unresolved
raw_fallback, observed 2026-08-15T17:34:49.758545Z

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=2026-08-15T17:34:48.790405Z digest=sha256:0b2ea8446344e3eebb315d20a6c12d3262a0655bd2fabaa547ec74c08bd2294d

Observation 4e552fac-61b6-4d5e-aafa-f417eb4f98cd · outbound

This paper cites an unresolved cited work.

EMLIO: Minimizing I/O Latency and Energy Consumption for Large-Scale AI Training Unresolved cited work

Reference 17

Resolution
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raw_fallback, observed 2026-08-15T17:34:49.746935Z

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=2026-08-15T17:34:48.794132Z digest=sha256:e296517d282f8779dbd420f6c56ef1622695e3ee4f0e3e94e04617b2eb64486f

Observation 67a6ad56-a751-47fe-a883-4bcdb3c60ea2 · outbound

This paper cites an unresolved cited work.

EMLIO: Minimizing I/O Latency and Energy Consumption for Large-Scale AI Training Unresolved cited work

Reference 18

Resolution
unresolved
raw_fallback, observed 2026-08-15T17:34:49.734552Z

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=2026-08-15T17:34:48.797924Z digest=sha256:56450589dcac94dc1b9818ac2bdae23deec82cdfc987c58867915b81a7897f98

Observation 67223bde-c69e-46d2-82ad-9cd8627c0fff · outbound

This paper cites Thiagaranjan, Shusen Liu, Peer-Timo Bremer, Jim Gaffney, and et al.

EMLIO: Minimizing I/O Latency and Energy Consumption for Large-Scale AI Training Thiagaranjan, Shusen Liu, Peer-Timo Bremer, Jim Gaffney, and et al

Reference 19

Resolution
verified fuzzy
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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 40667402-6d5f-4df9-accb-93d61c1bca22 · outbound

This paper cites an unresolved cited work.

EMLIO: Minimizing I/O Latency and Energy Consumption for Large-Scale AI Training Unresolved cited work

Reference 20

Resolution
verified exact
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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 edafc156-08bf-4073-9fd8-933e02a7c223 · outbound

This paper cites an unresolved cited work.

EMLIO: Minimizing I/O Latency and Energy Consumption for Large-Scale AI Training Unresolved cited work

Reference 21

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raw_fallback, observed 2026-08-15T17:34:49.709284Z

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 caac4ddc-eba3-4147-ab77-3b743ee242bc · outbound

This paper cites an unresolved cited work.

EMLIO: Minimizing I/O Latency and Energy Consumption for Large-Scale AI Training Unresolved cited work

Reference 22

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raw_fallback, observed 2026-08-15T17:34:49.697722Z

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 70308279-d612-4802-8a30-2a7b085ce344 · outbound

This paper cites an unresolved cited work.

EMLIO: Minimizing I/O Latency and Energy Consumption for Large-Scale AI Training Unresolved cited work

Reference 23

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raw_fallback, observed 2026-08-15T17:34:49.685649Z

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=2026-08-15T17:34:48.815446Z digest=sha256:5f09c01466723e2b5045a4410a2799740f1952e0d2c696146084db873ba9a124

Observation 54fdeb2f-13be-433c-b2de-5bb7139ea77f · outbound

This paper cites FFCV: Accelerating Training by Removing Data Bottlenecks.

EMLIO: Minimizing I/O Latency and Energy Consumption for Large-Scale AI Training FFCV: Accelerating Training by Removing Data Bottlenecks

Reference 24

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:34:48.818843Z digest=sha256:b4b70b8ecbbb0498a4948deebb5db3c8b1d89cc374b0912aa282ef1cd5e7b9dd

Observation 2dd0aa96-5597-4afd-9175-280fc3b574df · outbound

This paper cites Lawrence Zitnick, and Piotr Dollár.

EMLIO: Minimizing I/O Latency and Energy Consumption for Large-Scale AI Training Lawrence Zitnick, and Piotr Dollár

Reference 25

Resolution
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no resolver link, observed 2026-08-15T17:34:48.822758Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:34:48.822758Z digest=sha256:cc5b5225eb082359437d56ced024548efc75cab4f5178e3022924a202e222a09

Observation 07f7799e-eeda-4600-9f23-ea2926d01db4 · outbound

This paper cites an unresolved cited work.

EMLIO: Minimizing I/O Latency and Energy Consumption for Large-Scale AI Training Unresolved cited work

Reference 26

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no resolver link, observed 2026-08-15T17:34:48.830835Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:34:48.830835Z digest=sha256:2b6aa6bb0ac6141f94504a30b94f82da91fa81645884ed8ac9c76a0978d80601

Observation d8d1c5df-d573-446e-9ef0-5b44abbb9242 · outbound

This paper cites Microsoft COCO: Common Objects in Context.

EMLIO: Minimizing I/O Latency and Energy Consumption for Large-Scale AI Training Microsoft COCO: Common Objects in Context

Reference 27

Resolution
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no resolver link, observed 2026-08-15T17:34:48.826877Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:34:48.826877Z digest=sha256:6184affdc933ecf7d9a602837c4e04156edd66951e0c6f6a35090474e89979a9

Observation b91750f6-3ced-44f0-bef4-b8b3110111e8 · outbound

This paper cites an unresolved cited work.

EMLIO: Minimizing I/O Latency and Energy Consumption for Large-Scale AI Training Unresolved cited work

Reference 28

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unresolved
raw_fallback, observed 2026-08-15T17:34:49.656820Z

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 2e88b81f-0c61-4922-9f25-4dd132e4d516 · outbound

This paper cites an unresolved cited work.

EMLIO: Minimizing I/O Latency and Energy Consumption for Large-Scale AI Training Unresolved cited work

Reference 29

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unresolved
raw_fallback, observed 2026-08-15T17:34:49.667394Z

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 8d9e2131-e233-47ad-9840-cc58dd3d4b08 · outbound

This paper cites Pennycook, and et al.

EMLIO: Minimizing I/O Latency and Energy Consumption for Large-Scale AI Training Pennycook, and et al

Reference 30

Resolution
verified fuzzy
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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 d7fcbb84-ccea-4c61-b6d5-c1f0de1ea189 · outbound

This paper cites an unresolved cited work.

EMLIO: Minimizing I/O Latency and Energy Consumption for Large-Scale AI Training Unresolved cited work

Reference 31

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no resolver link, observed 2026-08-15T17:34:48.841414Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:34:48.841414Z digest=sha256:7a749bc777b844b00728e9b444693423b1611cf0c8522b734e032eed69806393

Observation f94cd173-0cda-4b02-b468-c66feb221964 · outbound

This paper cites tf.data: A Machine Learning Data Processing Framework.

EMLIO: Minimizing I/O Latency and Energy Consumption for Large-Scale AI Training tf.data: A Machine Learning Data Processing Framework

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-15T17:34:48.852204Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:34:48.852204Z digest=sha256:d37e33cb39efaac64e8fb99a1aeaa07c8aa7f96b7a5de0e6e967c01f7126150b

Observation 9993ff29-623a-4e7f-b4b4-d86e0d1cfcc6 · outbound

This paper cites an unresolved cited work.

EMLIO: Minimizing I/O Latency and Energy Consumption for Large-Scale AI Training Unresolved cited work

Reference 33

Resolution
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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 d4bdcfdd-a3c5-425b-9f5d-82b233ea62bc · outbound

This paper cites an unresolved cited work.

EMLIO: Minimizing I/O Latency and Energy Consumption for Large-Scale AI Training Unresolved cited work

Reference 34

Resolution
unresolved
raw_fallback, observed 2026-08-15T17:34:49.625086Z

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 9396c7d4-e83d-4e05-8154-d382c19ef9ff · outbound

This paper cites an unresolved cited work.

EMLIO: Minimizing I/O Latency and Energy Consumption for Large-Scale AI Training Unresolved cited work

Reference 35

Resolution
unresolved
raw_fallback, observed 2026-08-15T17:34:49.635481Z

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=2026-08-15T17:34:48.856356Z digest=sha256:fe5bc53534d33b8788db51762e62b546b938d466b1ba272495b7fc2b59f25102

Observation 282307b2-af63-4be3-942c-93165609da87 · outbound

This paper cites The Case for Strong Scaling in Deep Learning: Training Large 3D CNNs with Hybrid Parallelism.

EMLIO: Minimizing I/O Latency and Energy Consumption for Large-Scale AI Training The Case for Strong Scaling in Deep Learning: Training Large 3D CNNs with Hybrid Parallelism

Reference 36

Resolution
verified exact
local_arxiv, observed 2026-08-15T17:34:49.110452Z

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=2026-08-15T17:34:48.867658Z digest=sha256:de4415b8e948ebcbb62451a0714307b464e0180d69796a4749cb95e94b4e9a79

Observation f4f69730-a4a5-48b7-b0df-9fd6f499ab97 · outbound

This paper cites an unresolved cited work.

EMLIO: Minimizing I/O Latency and Energy Consumption for Large-Scale AI Training Unresolved cited work

Reference 37

Resolution
unresolved
raw_fallback, observed 2026-08-15T17:34:49.614062Z

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=2026-08-15T17:34:48.864026Z digest=sha256:e79c50b199a307c0a4187b3b3ea02a2cdefaff4122e26b76a46e39d9fec1c7bf

Observation 92d08785-d764-4d40-b3ce-a93828132442 · outbound

This paper cites an unresolved cited work.

EMLIO: Minimizing I/O Latency and Energy Consumption for Large-Scale AI Training Unresolved cited work

Reference 38

Resolution
unresolved
raw_fallback, observed 2026-08-15T17:34:49.591739Z

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=2026-08-15T17:34:48.874982Z digest=sha256:0e3d8e30728b0b2bf5a665f6cdcbcb1416758c254cef9f785aa08f24aca7a924

Observation 319900e6-dfec-4fce-8d21-3cd8a24e859d · outbound

This paper cites an unresolved cited work.

EMLIO: Minimizing I/O Latency and Energy Consumption for Large-Scale AI Training Unresolved cited work

Reference 39

Resolution
unresolved
raw_fallback, observed 2026-08-15T17:34:49.603272Z

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=2026-08-15T17:34:48.871647Z digest=sha256:e989e4e5eb7403a9dbe98b8ec15a5a86611f4b56f314f8a381d547bade5680df

Observation 44cce393-e6f5-416a-8709-fd0033d432d8 · outbound

This paper cites Carbon Emissions and Large Neural Network Training.

EMLIO: Minimizing I/O Latency and Energy Consumption for Large-Scale AI Training Carbon Emissions and Large Neural Network Training

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-15T17:34:48.886613Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:34:48.886613Z digest=sha256:77697b8d6f192f8f8485bbdfe4e0a7e4c79c1d1312bf079cd38e39ffb1d20484

Observation 48b3c43d-57a3-46fa-8d35-059e18aebbf6 · outbound

This paper cites an unresolved cited work.

EMLIO: Minimizing I/O Latency and Energy Consumption for Large-Scale AI Training Unresolved cited work

Reference 41

Resolution
unresolved
raw_fallback, observed 2026-08-15T17:34:49.568350Z

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=2026-08-15T17:34:48.890415Z digest=sha256:289bb94247f565c8b17b09ee75e059e3049e12998cac592bec2eed02c6a574aa

Observation 66f94228-a966-4991-9156-e50d09b0cfa0 · outbound

This paper cites an unresolved cited work.

EMLIO: Minimizing I/O Latency and Energy Consumption for Large-Scale AI Training Unresolved cited work

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-15T17:34:48.882942Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:34:48.882942Z digest=sha256:fb4cd2c98fd9cfb0b77ddd70416fa2684c5e1c60e1c475d6e408880d60aa3f88

Observation 8aa9eaa7-3061-4c9b-b481-c2aa2a73777f · outbound

This paper cites an unresolved cited work.

EMLIO: Minimizing I/O Latency and Energy Consumption for Large-Scale AI Training Unresolved cited work

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-15T17:34:48.897317Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:34:48.897317Z digest=sha256:e28e772cebbf5ff1e82762f6099f4a976f89ff88a85ebc5a4134ee344821d6d6

Observation 54998ed2-499c-456f-afdf-f1f43166c9dc · outbound

This paper cites Horovod: fast and easy distributed deep learning in TensorFlow.

EMLIO: Minimizing I/O Latency and Energy Consumption for Large-Scale AI Training Horovod: fast and easy distributed deep learning in TensorFlow

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-15T17:34:48.901007Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:34:48.901007Z digest=sha256:4606a071f1122bf3e5380b6e18941075c9e04afa869d1f5ef5959d85dd7a3677

Observation 50c233b4-93d9-4901-b691-cbb007f1dd9d · outbound

This paper cites an unresolved cited work.

EMLIO: Minimizing I/O Latency and Energy Consumption for Large-Scale AI Training Unresolved cited work

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-15T17:34:48.893905Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:34:48.893905Z digest=sha256:349929eefe96c058dffb36aaa36cb4ad9df936de04825b433302ed961f99a29d

Observation 19ca8458-d31d-4f94-97d9-125d3dcfe528 · outbound

This paper cites Energy and Policy Considerations for Deep Learning in NLP.

EMLIO: Minimizing I/O Latency and Energy Consumption for Large-Scale AI Training Energy and Policy Considerations for Deep Learning in NLP

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-15T17:34:48.908889Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:34:48.908889Z digest=sha256:1b729f8d08d8caa3b34488b605889930710bbcf325485fb6db99f039f9532695

Observation 0aeef780-c733-46cc-a907-c78e9a7d47dc · outbound

This paper cites an unresolved cited work.

EMLIO: Minimizing I/O Latency and Energy Consumption for Large-Scale AI Training Unresolved cited work

Reference 47

Resolution
unresolved
raw_fallback, observed 2026-08-15T17:34:49.556387Z

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=2026-08-15T17:34:48.912771Z digest=sha256:a8d77876ea131e7f36d7cffca944c6eefc73e5b1587f16517bcbcf5294c6e7f3

Observation 0edb7ca0-638d-4fa5-be30-279511c8a2ec · outbound

This paper cites Very Deep Convolutional Networks for Large-Scale Image Recognition.

EMLIO: Minimizing I/O Latency and Energy Consumption for Large-Scale AI Training Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-15T17:34:48.904920Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:34:48.904920Z digest=sha256:ec1699ccd62e582e6f542e8743ab35b168645b9465115571868d8175c2452b48

Observation 4eadecb5-9f2c-44d2-ac5a-d58aada362d9 · outbound

This paper cites Hiding Latencies in Network-Based Image Loading for Deep Learning.

EMLIO: Minimizing I/O Latency and Energy Consumption for Large-Scale AI Training Hiding Latencies in Network-Based Image Loading for Deep Learning

Reference 49

Resolution
verified exact
local_arxiv, observed 2026-08-15T17:34:48.983256Z

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=2026-08-15T17:34:48.920002Z digest=sha256:ec46ba335731455485c9ffb132b97172726e1166b9e8a592ed1369783c69fb88

Observation 974623b8-e122-4aa4-af20-d3ee6c0f4baf · outbound

This paper cites an unresolved cited work.

EMLIO: Minimizing I/O Latency and Energy Consumption for Large-Scale AI Training Unresolved cited work

Reference 50

Resolution
unresolved
raw_fallback, observed 2026-08-15T17:34:49.532529Z

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=2026-08-15T17:34:48.923687Z digest=sha256:8e66a893ad2653c45402189e657ded00f8763f22a628b7a027b690f779ab27dd

Observation 4800ec72-5361-437a-a76e-915ac1b4c0c9 · outbound

This paper cites an unresolved cited work.

EMLIO: Minimizing I/O Latency and Energy Consumption for Large-Scale AI Training Unresolved cited work

Reference 51

Resolution
unresolved
raw_fallback, observed 2026-08-15T17:34:49.545016Z

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=2026-08-15T17:34:48.916434Z digest=sha256:0580b5bc8ffb1f275ff29e68aef0589a5912eb6b426e9dbe335b7ebd79ca117a

Observation 771a41c8-a050-463e-8fb2-b9390d3f5a96 · outbound

This paper cites an unresolved cited work.

EMLIO: Minimizing I/O Latency and Energy Consumption for Large-Scale AI Training Unresolved cited work

Reference 52

Resolution
unresolved
raw_fallback, observed 2026-08-15T17:34:49.508731Z

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=2026-08-15T17:34:48.930887Z digest=sha256:1125e56231961a40a1a897e601fd82f29ef50f71417dc458f3fb228c3b1ae0d6

Observation db464fc8-f20f-4dd3-a52a-646f1022a4dd · outbound

This paper cites an unresolved cited work.

EMLIO: Minimizing I/O Latency and Energy Consumption for Large-Scale AI Training Unresolved cited work

Reference 54

Resolution
unresolved
raw_fallback, observed 2026-08-15T17:34:49.520913Z

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=2026-08-15T17:34:48.927405Z digest=sha256:cfd3702f5535b7f94947e8fbbafa7cf4f09656aa90b63c138a385e35758cbe5c

Observation b5e22460-ac79-492e-a14b-9fc801640414 · outbound

This paper cites https://www.tensorflow.org/.

EMLIO: Minimizing I/O Latency and Energy Consumption for Large-Scale AI Training https://www.tensorflow.org/

Reference 2015

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:34:49.861731Z

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=2026-08-15T17:34:48.737361Z digest=sha256:36dcf9b43bdafb9c53667571c75abb54fa312f9d70503a4bfc97d60179c7b8c5

Observation 05ba78f0-f347-44e3-82d5-af3ad2eec2f9 · outbound

This paper cites In Advances in Neural Information Processing Systems (NeurIPS).

EMLIO: Minimizing I/O Latency and Energy Consumption for Large-Scale AI Training In Advances in Neural Information Processing Systems (NeurIPS)

Reference 2019

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:34:49.580088Z

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=2026-08-15T17:34:48.878902Z digest=sha256:0be43dab6afb94742e711d91387ef785132106250d863a2d011e1f92b3d16327

Pith citing papers

No inbound Pith citation observations are available.