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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=sha256:7fce9ef5c4356c72ec9c20ee32f4b189d3fbb1316e640d194b09460e5c87f833

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

Resolution
unresolved
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=sha256:6e6d5711ce279dd596d391602fa4191a43814483554cbe800d236beeceeb8448

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.

source=pdf_text observed=2026-08-15T17:34:48.749448Z digest=sha256:bd36b148ed0cd54ac67c72eabb338f449caf6ccac4eef1c704c06ee374ba804e

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.

source=pdf_text observed=2026-08-15T17:34:48.753117Z digest=sha256:49a0e155755ecdb87c871953b48bca06658e191c7b9b75c85b0860e63acdba42

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
unresolved
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:f33af81e614634ac3fcb236e4e6b07351767cbfcf0ed1ac011e33a85da599773

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=sha256:183af0cf12f0034ad180ddd34bfda64e4ca05cebd1ecea77ed07fd166f47576c

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

Resolution
unresolved
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.

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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=sha256:24ee09b1085619a292cfca197f3abea71f9b907bf125762477ddfe683a588147

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=sha256:77983d1a143e1954135f0a29491a7c44290c1590f18d96fc79e4e86c2804967e

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
unresolved
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=sha256:09e4625a8572cebfac500f8710ebbc45faf138d2c5d67e8bc6839c10ba2c9049

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=sha256:6b0f3a525b1687627f0a00c4a8510a2765fa46ea49d448dccfc824814d70fb99

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:ae9e25710728bfa018942d010e9981bc8c4af6dac6e558d25e214db0bfdc9976

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
unresolved
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=sha256:7a641dbc119793295ec46645ed0a1cc2ab38540a572a8a286c6d323f78be35d4

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=sha256:680d3d9043efededa90c907caff7129505df3b142f3e1217ed9c071213d4c052

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

Resolution
unresolved
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.

source=pdf_text observed=2026-08-15T17:34:48.812173Z digest=sha256:1a808f150da1dbeca73b4fed9fd634d2b7a28102d61d5d4a0fd78d56eef87aa5

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

Resolution
unresolved
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=sha256:00273fd2c52a258fc496388b59bb540f81dae37e3e8aaf4bf203ec7fcedd8478

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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no resolver link, observed 2026-08-15T17:34:48.818843Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:34:48.818843Z digest=sha256:a38eb474bae71573019c7b2c73636932cc2724c21d97bb5eca56c25f1fc11535

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
unresolved
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:ffc4619e45cc0c5e7b2f81f17109f47f329049e3a29ad55f8db7ec32a11447a9

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=sha256:25656cac2490d13811d7f84f3db7711cf1d4b240616db63af96f54b1a2b48def

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
unresolved
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=sha256:6a74efe048d4d919f99da38e88ba11b2c54bd79d976ee0ee14c6ab2df02a42aa

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

Resolution
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

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verified fuzzy
raw_fallback, observed 2026-08-15T17:34:49.646248Z

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

Resolution
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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=sha256:6b917fbb05bd64b85c93f9f7222a6bfdb7b9870c10a9f008d291343b0178da0d

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:ca72b5d5ea48721905690d57d63be163432bac8dc4fe1a5b6dea83ed24c95c9d

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
malformed identifier
raw_fallback, observed 2026-08-15T17:34:49.179371Z

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=sha256:95ff0586ceb842a62134e06bc7e70cd8c6acd9ba5861cbee697b664ec8aa5cf6

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:e73709723a938b39ff82c6d25a5c96b8126a6939b3952cff36084238b3703492

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:c84dcd57a27da076cf12c58e00d76bbd2fe449e0c2c59781891fb066b5194e5d

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:db7e6368372e376ba9f4edbd3b560ea620cd43badb21c71e4a8acfc9dce58ae2

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=sha256:77fd98503f968f0e49fca3480f4d2c5c4a100cb8ce6e5f664ff01396964f0f98

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=sha256:3f745d2ed8e9c2034afde492a3e3c7272f1dbc22a70f6ff71836349843257129

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:b07dec6bc370a265a22aa1aea64fb5ec746fc91c61dca766d5801a46c393a205

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=sha256:1018efc2a631983f1c89ee6d0b1861743be9a6e1126baae67dad5e903d1858fa

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=sha256:220de99fc4d56f4fa76c8292f88ba3b6f3e04604ce7f2b9fb517df4ef1bf4026

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=sha256:7fea9d6457f74e789557e153caeeedfbc404041eed8e3875a63a168185513fea

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=sha256:2cbc78df4173a6458335db4a216ca588513123586a348dc6e133accc22e3a195

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=sha256:968e9447d5cb84a7c965c3938ea7913ae78a0325a550cce829539365fa24e519

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=sha256:6e2597fe82002d416796028d145f0e6076c50873c28732f4b05682242b728ada

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=sha256:910039b9bb695d3f2cfb874a3a8343493e25ecfb76f6232b9c542ac8c004c159

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=sha256:1e953de564ea74a13f3ff8dbc95fd76d2cb45718e7a80366c739b87cf7953702

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=sha256:7e3c3411474578e485595133412ea4f51264738a4cda1c0f091f21eaf748d06c

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=sha256:4b705e5f6c88f4106738e8b5dee7312dd17c5f26d07ade94e0d147e4565b19fb

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:cc46d15abaa1f6916324e879e0d2b81e6f7cde278a6e0789f22af83c27c20e14

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:c7d6322c8dbd7b1834483992f5299f1e5cc01a97b6107fd96cd68f134319d394

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:abcaa6b9c67689744920c6c6b7a8dff60a6c1132c00f52a367e1b005601f1cbd

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=sha256:35b8286b32a6d7585807e06dfdd6dfe0cf27db8fc4d04f2665a5ecdcb4215f10

Pith citing papers

No inbound Pith citation observations are available.