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Paper Citation Record · LEDGER

Mixed Precision Training

As of 6 August 2026, this Paper Citation Record lists 34 of 34 outbound references and 90 inbound Pith citation observations for arXiv:1710.03740.

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

pith.paper-citation-record.v1
1710.03740 v3

Coverage vector

measured 34 of 34 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-12T10:47:18.426912Z

measured 124 of 124 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00

measured 90 of 90 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T12:28:42.897424Z

measured 1 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-08-05T02:28:24.338817Z

Reference resolution

34 of 34 outbound references displayed

  • verified exact17
  • verified fuzzy12
  • unresolved5
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

881
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation 8311298c-8d48-4159-84af-38df4c03bfdf · outbound

This paper cites Amodei, R.

Mixed Precision Training Amodei, R

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-05-12T10:47:18.631923Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-12T10:47:18.426912Z digest=sha256:85ebf9d6826cbe75d60ae9e6b8d45583c6ce7b64b6b5e744c532bd16c8407198

Observation 63a1babe-77d6-4a82-9f7d-bb2d8441973a · outbound

This paper cites Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation.

Mixed Precision Training Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation

Reference 2

Resolution
verified exact
arxiv_id, observed 2026-05-12T23:34:11.077671Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-12T10:47:18.426912Z digest=sha256:160dc57d7eba55b8b237ad25b06de99f3dce62aaa68b58770fd4b3cb57c1e002

Observation 78454509-f060-4353-b1e8-c269f3108c6d · outbound

This paper cites Courbariaux, Y.

Mixed Precision Training Courbariaux, Y

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-05-12T10:47:18.584854Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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Observation e383cb6c-1e17-46f5-8da2-190e8b37ac51 · outbound

This paper cites Girshick.

Mixed Precision Training Girshick

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-05-12T10:47:18.589833Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-12T10:47:18.426912Z digest=sha256:82a3e1dc4af1f09466d7cd364bafcc65afa12ebf98779a7f2a05159c7042ce60

Observation 1ed0d99e-7ff2-45e6-82c3-4753d2d1f7cc · outbound

This paper cites Tensorflow tutorial: Sequence-to-sequence models.

Mixed Precision Training Tensorflow tutorial: Sequence-to-sequence models

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-05-12T10:47:18.594657Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-12T10:47:18.426912Z digest=sha256:01b0e1a3582b25be49228008d966534b33a873fbedd858056609d68a87abf3e1

Observation 36859682-cdce-427a-8e7b-0d0d638dc8a6 · outbound

This paper cites Graves, S.

Mixed Precision Training Graves, S

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-05-12T10:47:18.599595Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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Observation 69f467fe-d435-4a7a-b612-35fcedb4ba97 · outbound

This paper cites Gupta, A.

Mixed Precision Training Gupta, A

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-05-12T10:47:18.604580Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-12T10:47:18.426912Z digest=sha256:4c351b53d8adf7d6dd11af0e20942f1c64664c951e65e14b442aae2ccb3e73fb

Observation 446fe6cf-28f0-4211-887b-4ee6cdc0b47e · outbound

This paper cites Deep Speech: Scaling up end-to-end speech recognition.

Mixed Precision Training Deep Speech: Scaling up end-to-end speech recognition

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-05-12T10:47:18.502759Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-12T10:47:18.426912Z digest=sha256:cbebbad8d7105e68408db3628d88994a78f24340589232ef36960a7162c7d5cc

Observation 2a7cc35a-f081-42be-a3bc-63d25a7dec9e · outbound

This paper cites an unresolved cited work.

Mixed Precision Training Unresolved cited work

Reference 9

Resolution
unresolved
raw_fallback, observed 2026-05-12T10:47:18.609185Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-12T10:47:18.426912Z digest=sha256:3465b3b4741674e1a2a00674138e57219439b514b936c35c1f31e526c9094668

Observation 813046de-14a0-4e01-a6cb-96fbe2b669e4 · outbound

This paper cites an unresolved cited work.

Mixed Precision Training Unresolved cited work

Reference 10

Resolution
unresolved
raw_fallback, observed 2026-05-12T10:47:18.613625Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-12T10:47:18.426912Z digest=sha256:ba5fce74c11222e2bb2eaada3f6560d492cae4203535c9f3a4da9e9c34682c94

Observation fb32e13a-b0a2-40e5-8fa1-bc5dfe03667a · outbound

This paper cites Effective Quantization Methods for Recurrent Neural Networks.

Mixed Precision Training Effective Quantization Methods for Recurrent Neural Networks

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-05-12T10:47:18.555032Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-12T10:47:18.426912Z digest=sha256:ca0c6ad2b5dabe7171a23971fe883b6fac521617ec293088a6c5f2c2ee37da97

Observation 5e00639a-6590-4ac3-8d7e-59eee4875ffa · outbound

This paper cites Long short -term memory.

Mixed Precision Training Long short -term memory

Reference 12

Resolution
verified exact
doi, observed 2026-05-12T10:47:18.471996Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-12T10:47:18.426912Z digest=sha256:253862062d7b2fd472d841521f5f7077add9f346e0a7d0b0e0a1ec6e094cd7f0

Observation db0b8704-b19d-4534-8580-ab2d3bffc1d7 · outbound

This paper cites Hubara, M.

Mixed Precision Training Hubara, M

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-05-12T10:47:18.618998Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-12T10:47:18.426912Z digest=sha256:86b0cf496b6d9c605aefbac4056f9341d917cbe9f92e67543cfb77b64cdce807

Observation c8008e1c-343e-4a5a-a9c0-7e557a4c2420 · outbound

This paper cites Quantized Neural Networks: Training Neural Networks with Low Precision Weights and Activations.

Mixed Precision Training Quantized Neural Networks: Training Neural Networks with Low Precision Weights and Activations

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-05-12T10:47:18.487769Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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Observation 728b12f1-ee42-4b2b-a5c2-5d67e2806c9a · outbound

This paper cites Ioffe and C.

Mixed Precision Training Ioffe and C

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-05-12T10:47:18.624144Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-12T10:47:18.426912Z digest=sha256:e941c229b0712ebe1a950e9bd7be7bb90ee5b4cdabf48c49a3c43d983f797825

Observation 90085eb1-a85a-4abe-b87d-05e96de45d8f · outbound

This paper cites Caffe: Convolutional Architecture for Fast Feature Embedding.

Mixed Precision Training Caffe: Convolutional Architecture for Fast Feature Embedding

Reference 16

Resolution
verified exact
arxiv_id, observed 2026-05-12T10:47:18.517408Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-12T10:47:18.426912Z digest=sha256:b58107ffed2b55a0e5d4ab84287ad0e0412c195c9922d44f2a65cec94cb78e8f

Observation d5f7e111-5d01-42eb-ad92-449d8bd5eb34 · outbound

This paper cites Exploring the Limits of Language Modeling.

Mixed Precision Training Exploring the Limits of Language Modeling

Reference 17

Resolution
verified exact
arxiv_id, observed 2026-05-12T10:47:18.539963Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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Observation 6bdfcc33-ecbb-487c-bec8-4ae9874a87f4 · outbound

This paper cites Krizhevsky, I.

Mixed Precision Training Krizhevsky, I

Reference 18

Resolution
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raw_fallback, observed 2026-05-12T10:47:18.580126Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-12T10:47:18.426912Z digest=sha256:39e46993ea80be5ae548fb66afd6db024d97a36b592c035f1f1546158034868c

Observation 030f9d65-067f-4aba-a78d-6ae100c337c4 · outbound

This paper cites an unresolved cited work.

Mixed Precision Training Unresolved cited work

Reference 19

Resolution
unresolved
raw_fallback, observed 2026-05-12T10:47:18.638448Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-12T10:47:18.426912Z digest=sha256:48f24123b17141ff4f0922f80f976ac9053ec03707a99080da635495c4ec6dbf

Observation b6aeded3-2a8c-4f0f-9954-7302922f9a21 · outbound

This paper cites SSD: Single Shot MultiBox Detector.

Mixed Precision Training SSD: Single Shot MultiBox Detector

Reference 20

Resolution
verified exact
arxiv_id, observed 2026-05-12T10:47:18.568260Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-12T10:47:18.426912Z digest=sha256:374cebb67cfc8e1c738c0a083b12063d3b71e2706ed4a84f73c2c245d82534ec

Observation 87ddd323-7110-498d-b9ac-b8ce9768067b · outbound

This paper cites an unresolved cited work.

Mixed Precision Training Unresolved cited work

Reference 21

Resolution
unresolved
raw_fallback, observed 2026-05-12T10:47:18.643879Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-12T10:47:18.426912Z digest=sha256:7bcd2a7898e36ffac80f0ba2a3b77175fa387a86079037668782bb565dcfdb75

Observation d029a6d1-51ed-4783-b7e0-105bf28d6fbb · outbound

This paper cites WRPN: Wide Reduced-Precision Networks.

Mixed Precision Training WRPN: Wide Reduced-Precision Networks

Reference 22

Resolution
verified exact
arxiv_id, observed 2026-07-04T22:11:02.203150Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-12T10:47:18.426912Z digest=sha256:fc5e0601b7997829bed73b7cc4c6d6c953c9bdadd064cfa66aa5e99348827572

Observation 92e2eda1-514c-4aaa-8dfd-b85708f93fe0 · outbound

This paper cites Nvidia tesla v100 gpu architecture.

Mixed Precision Training Nvidia tesla v100 gpu architecture

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-05-12T10:47:18.649702Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-12T10:47:18.426912Z digest=sha256:37b20b0e208779e503e0b4b0fe6592802725b304af06d1ca8c5cd78062eb5f20

Observation d8282278-da30-4473-962b-b5100d43f126 · outbound

This paper cites Recurrent Neural Networks With Limited Numerical Precision.

Mixed Precision Training Recurrent Neural Networks With Limited Numerical Precision

Reference 24

Resolution
verified exact
arxiv_id, observed 2026-07-04T21:47:21.164964Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-12T10:47:18.426912Z digest=sha256:b4f1c401eda146efd196888ca0e55579926bde380cb81ba43fa6b751e7f4a3d8

Observation a3669972-2cde-43d7-82c5-cec19871bdc7 · outbound

This paper cites Paszke, S.

Mixed Precision Training Paszke, S

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-05-12T10:47:18.663080Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-12T10:47:18.426912Z digest=sha256:8428777db39e42667beea16601bc92171413f62277b47ed624943d1d9df59332

Observation 4e119def-e760-4a7a-ab15-05290e30f0ff · outbound

This paper cites Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks.

Mixed Precision Training Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks

Reference 26

Resolution
verified exact
arxiv_id, observed 2026-05-13T16:44:09.291693Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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Observation 5d1453df-98c1-4a65-afc8-b22e9f0c5f8c · outbound

This paper cites Rastegari, V.

Mixed Precision Training Rastegari, V

Reference 27

Resolution
verified exact
doi, observed 2026-05-12T10:47:18.465559Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-12T10:47:18.426912Z digest=sha256:bfe61e5b97ff7144ba0c4c44fd83c7db7d29dfc75dd4bb22f8abd303fe544c5a

Observation cddd7d15-2a70-4fa1-8830-3938bfe9d437 · outbound

This paper cites an unresolved cited work.

Mixed Precision Training Unresolved cited work

Reference 28

Resolution
unresolved
raw_fallback, observed 2026-05-12T10:47:18.668855Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-12T10:47:18.426912Z digest=sha256:73b6b5e5733b5df60fcd2482bd547c465452619a8b4d0f6d410cdcfba88f1f57

Observation d97f8290-54fa-4229-bf3b-dfaf4a61eebc · outbound

This paper cites ImageNet Large Scale Visual Recognition Challenge.

Mixed Precision Training ImageNet Large Scale Visual Recognition Challenge

Reference 29

Resolution
verified exact
doi, observed 2026-05-12T10:47:18.459783Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-12T10:47:18.426912Z digest=sha256:b36cf69309f85a74175b61fcd3ae94eb4611775958eaf2c2044b9bda20c410ae

Observation 53135387-5f2f-49c1-92e6-a5b9a626eb5c · outbound

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

Mixed Precision Training Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 30

Resolution
verified exact
local_arxiv, observed 2026-05-12T10:47:18.524841Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-12T10:47:18.426912Z digest=sha256:51cd0a34651363de72207e4e7f5879796c0f5dcd72a3b45c0c589658e0aaa942

Observation 2a3ad918-75a7-4806-9748-4afcc5617ab7 · outbound

This paper cites Going Deeper with Convolutions.

Mixed Precision Training Going Deeper with Convolutions

Reference 31

Resolution
verified exact
arxiv_id, observed 2026-05-12T10:47:18.532210Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-12T10:47:18.426912Z digest=sha256:649c7e1a167eb3bf40cdb6ef33f71fdad95f92020804328bd5b184503693fbd0

Observation 48a223de-06ac-4548-b3f2-85e1377911f0 · outbound

This paper cites Szegedy, V.

Mixed Precision Training Szegedy, V

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-05-12T10:47:18.674946Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-12T10:47:18.426912Z digest=sha256:b6a893c2cc0b02469da1b1223cced9ae86da76d547062bb306c31e5d2c16db31

Observation 6dc7ff70-de1f-407e-b9fd-64eebf666647 · outbound

This paper cites Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation.

Mixed Precision Training Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation

Reference 33

Resolution
verified exact
arxiv_id, observed 2026-05-12T15:21:29.028955Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-12T10:47:18.426912Z digest=sha256:4f21764998864f600841e4080662e17e56a3e62220f6770c5e39c9b6d30f4ebe

Observation 5b1b4621-c172-46fa-bb21-3a6f8e4d67e7 · outbound

This paper cites DoReFa-Net: Training Low Bitwidth Convolutional Neural Networks with Low Bitwidth Gradients.

Mixed Precision Training DoReFa-Net: Training Low Bitwidth Convolutional Neural Networks with Low Bitwidth Gradients

Reference 34

Resolution
verified exact
arxiv_id, observed 2026-05-12T10:47:18.561797Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-12T10:47:18.426912Z digest=sha256:13f2ee59aa3b359c63e1e5bf424143d582c03f3f1808a3a7014a96dcfae0bd1c

Pith citing papers

Observation a824fe61-61ec-4f90-88e4-8f29eaeba519 · inbound

Generating Long Sequences with Sparse Transformers cites this paper.

Generating Long Sequences with Sparse Transformers Mixed Precision Training

Reference 16

Resolution
verified exact
arxiv_id, observed 2026-05-12T10:47:18.676998Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T19:50:53.385943Z digest=sha256:a3a4e339639fba8b44f01214078d1d5a2b8739f1da50f3444b97ea9c0e85de34

Observation bf1b857a-cb86-42b0-a368-0844c286b0b6 · inbound

Developing an App to interpret Chest X-rays to support the diagnosis of respiratory pathology with Artificial Intelligence cites this paper.

Developing an App to interpret Chest X-rays to support the diagnosis of respiratory pathology with Artificial Intelligence Mixed Precision Training

Reference 8

Resolution
verified exact
local_arxiv, observed 2026-05-25T15:30:58.727140Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-25T15:27:50.775068Z digest=sha256:b8659886229e0d10e917f77627fb1036d7af104ae978000aa8c84f99fbc82572

Observation 8252ff9c-cb02-43da-9fe1-3e5966c3ccff · inbound

Linformer: Self-Attention with Linear Complexity cites this paper.

Linformer: Self-Attention with Linear Complexity Mixed Precision Training

Reference 10

Resolution
verified exact
arxiv_id, observed 2026-05-12T10:47:18.676998Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-12T00:37:42.175821Z digest=sha256:837486a8f85e01490f1d7cf0cfc6e376130f387e2f9958bd52c8207a6727f400

Observation d44ab550-a2b6-4b4c-ba4d-e0ea03e4e705 · inbound

Switch Transformers: Scaling to Trillion Parameter Models with Simple and Efficient Sparsity cites this paper.

Switch Transformers: Scaling to Trillion Parameter Models with Simple and Efficient Sparsity Mixed Precision Training

Reference 21

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verified exact
local_arxiv, observed 2026-05-12T23:57:11.082719Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-12T23:57:10.953617Z digest=sha256:b391df405662a1c8e03a403191b8df173f9e7e879b02598d4d9413c368394c84

Observation 7d377072-6f0f-49d4-9013-741f7fe79fd0 · inbound

Diffusion Models Beat GANs on Image Synthesis cites this paper.

Diffusion Models Beat GANs on Image Synthesis Mixed Precision Training

Reference 38

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verified exact
local_arxiv, observed 2026-05-13T11:16:28.586797Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-13T11:16:28.445702Z digest=sha256:292a8921fa47fc5a2d8f47310a0b9d58d1df1c792d9c826d3757716964401a23

Observation 953b321d-ebfe-424a-8ba9-d600cfd863b3 · inbound

GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models cites this paper.

GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models Mixed Precision Training

Reference 16

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verified exact
arxiv_id, observed 2026-05-12T10:47:18.676998Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-11T05:56:10.970591Z digest=sha256:96f18a37f55f818bbef974647988f753d891b99b22c2664da04a7f8ffbdbe5bb

Observation 1a9df28b-c310-4be6-a43c-706ca4c966dc · inbound

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

Using DeepSpeed and Megatron to Train Megatron-Turing NLG 530B, A Large-Scale Generative Language Model Mixed Precision Training

Reference 41

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verified exact
local_arxiv, observed 2026-05-24T12:14:26.665627Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-24T12:10:49.690618Z digest=sha256:d2d4a9ac1383dcf94d7192ed499f06848d592151cba4338364df96654aa9a345

Observation ebc84573-3cf5-4c82-928d-eead031d06cf · inbound

ST-MoE: Designing Stable and Transferable Sparse Expert Models cites this paper.

ST-MoE: Designing Stable and Transferable Sparse Expert Models Mixed Precision Training

Reference 176

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verified exact
local_arxiv, observed 2026-05-12T23:14:25.679737Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-12T23:14:25.431471Z digest=sha256:fc066120fc0e679b1cd7ae59ddc19f35c9871f1217aaf3530080f15c8542e473

Observation bd3e615d-7048-43d5-973b-45c4cf224622 · inbound

OPT: Open Pre-trained Transformer Language Models cites this paper.

OPT: Open Pre-trained Transformer Language Models Mixed Precision Training

Reference 262

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metadata mismatch
arxiv_id, observed 2026-05-12T10:47:18.676998Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-10T20:53:16.720145Z digest=sha256:7e81a6101a6510de5439c50a8fa045ceb328232dcf8e8ec2579b825a8ab34621

Observation 113c12a2-5361-4b7f-9982-2799f97d52c0 · inbound

LLM.int8(): 8-bit Matrix Multiplication for Transformers at Scale cites this paper.

LLM.int8(): 8-bit Matrix Multiplication for Transformers at Scale Mixed Precision Training

Reference 61

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local_arxiv, observed 2026-05-13T13:35:36.213382Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-13T13:35:35.972596Z digest=sha256:a151ed004f8bfa5a447195f77ca8ae010d1b98d064a992b6efe48f7b85517238

Observation 30433775-5f2f-41dc-8b12-ce08937b50fd · inbound

FP8 Formats for Deep Learning cites this paper.

FP8 Formats for Deep Learning Mixed Precision Training

Reference 14

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local_arxiv, observed 2026-05-15T09:47:03.804578Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-15T09:47:03.766814Z digest=sha256:d731bc09d8242f2cf199f554c24f5f3ea03c2c9b81a6a9b65180944a2d33b07a

Observation a5d5bb79-16c7-4e39-add7-b4fa1c58d15c · inbound

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

PyTorch FSDP: Experiences on Scaling Fully Sharded Data Parallel Mixed Precision Training

Reference 18

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verified exact
arxiv_id, observed 2026-05-12T10:47:18.676998Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-12T04:15:20.027659Z digest=sha256:1467d1a726f2f0c3a9a18de46a377fe3f09a5091e06e4bd14d1f19cd788cce68

Observation a92996a4-05f8-4158-bb2f-3654312297f0 · inbound

Shap-E: Generating Conditional 3D Implicit Functions cites this paper.

Shap-E: Generating Conditional 3D Implicit Functions Mixed Precision Training

Reference 39

Resolution
verified exact
local_arxiv, observed 2026-05-16T15:32:06.815209Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-16T15:32:06.563955Z digest=sha256:85dab22b4abf62702d5083372854697246b2c47c1ad60c611f16246ea8345589

Observation 0ed13e76-a2e1-41d2-b3d0-bfbbc39eb9c5 · inbound

A Comprehensive Overview of Large Language Models cites this paper.

A Comprehensive Overview of Large Language Models Mixed Precision Training

Reference 120

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local_arxiv, observed 2026-05-19T20:28:39.405719Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-19T20:28:38.900026Z digest=sha256:07d02fd20837e1e4179d6090f7152abacf21ef768cafcd79935ef0b849b4fe35

Observation 548899d1-2ad8-4a30-b1c7-2ad63b6e2f83 · inbound

ProTrain: Efficient LLM Training via Memory-Aware Techniques cites this paper.

ProTrain: Efficient LLM Training via Memory-Aware Techniques Mixed Precision Training

Reference 29

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verified exact
local_arxiv, observed 2026-05-23T23:53:39.392205Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-23T23:48:40.669335Z digest=sha256:07776f75a0b58df616240114a00944b20935d4700b609f67dcef0e91db2dff3a

Observation 0709dafb-e8f4-4538-a3b7-654533c215f0 · inbound

Improving Neural Network Training using Dynamic Learning Rate Schedule for PINNs and Image Classification cites this paper.

Improving Neural Network Training using Dynamic Learning Rate Schedule for PINNs and Image Classification Mixed Precision Training

Reference 29

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unresolved
no resolver link, observed 2026-08-06T12:28:42.897424Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T12:28:42.897424Z digest=sha256:b9077d524a83ceba0374fcde8bd962175e1b3dde8772d4fd510d575cbd357582

Observation 12a5bcad-f3b7-4531-bcf0-fdf3fd42e2e9 · inbound

Capturing star formation activity from compressed photometric images of galaxies cites this paper.

Capturing star formation activity from compressed photometric images of galaxies Mixed Precision Training

Reference 35

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no resolver link, observed 2026-08-06T11:12:47.773343Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T11:12:47.773343Z digest=sha256:6a834a9d2d89037318c548663e3a710b6e7151328bcc5e33374c437b54bc8520

Observation 54095e89-42d2-4972-81c1-2979a6db467f · inbound

SGEMM-cube: Precision-Recovery FP32 GEMM Approximation on Ascend NPUs with FP16 Matrix Engines cites this paper.

SGEMM-cube: Precision-Recovery FP32 GEMM Approximation on Ascend NPUs with FP16 Matrix Engines Mixed Precision Training

Reference 7

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verified exact
local_arxiv, observed 2026-05-19T03:02:00.438856Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-19T02:58:03.731344Z digest=sha256:6986b44c0d60688f4f3df4eba2d9b8acb84e0a739194dee0ba141fb756754121

Observation 1a83d089-c7e7-4221-bfd1-2f50f44f79ff · inbound

Deeper Inside Deep ViT cites this paper.

Deeper Inside Deep ViT Mixed Precision Training

Reference 21

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no resolver link, observed 2026-08-06T00:55:20.049340Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T00:55:20.049340Z digest=sha256:60c1d3f94471dc2403fb1ca929e87f197c866e476012b22f201353254011a65b

Observation e8b163f8-ddcd-4895-a836-a1ac0f2432e6 · inbound

Latent Space Diffusion for Topology Optimization cites this paper.

Latent Space Diffusion for Topology Optimization Mixed Precision Training

Reference 20

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no resolver link, observed 2026-08-05T23:16:05.942020Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T23:16:05.942020Z digest=sha256:2b501df29e72251c633c2a45b3054957e4beedfd29662db2952dd2a946222d45

Observation 179992bc-633f-423e-b613-1ff2f1a0bb52 · inbound

FuXi-\beta: Towards a Lightweight and Fast Large-Scale Generative Recommendation Model cites this paper.

FuXi-\beta: Towards a Lightweight and Fast Large-Scale Generative Recommendation Model Mixed Precision Training

Reference 38

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unresolved
no resolver link, observed 2026-08-05T20:25:11.986236Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T20:25:11.986236Z digest=sha256:12b054936e9fb07b71468996e8d659da829609079624631eee440c2332202eb6

Observation a449d549-3360-49b8-ab79-cbc4be626e23 · inbound

High-Throughput Low-Cost Segmentation of Brightfield Microscopy Live Cell Images cites this paper.

High-Throughput Low-Cost Segmentation of Brightfield Microscopy Live Cell Images Mixed Precision Training

Reference 41

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no resolver link, observed 2026-08-05T19:31:03.262734Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T19:31:03.262734Z digest=sha256:6ba86ae0f10772da3f1d02b01fdd9384f3b1bfd93424aeaadd5d55bbc80925e6

Observation d51445d3-5a1e-4ea4-ac66-966b0244ce71 · inbound

SKGE-SWIN: End-To-End Autonomous Vehicle Waypoint Prediction and Navigation Using Skip Stage Swin Transformer cites this paper.

SKGE-SWIN: End-To-End Autonomous Vehicle Waypoint Prediction and Navigation Using Skip Stage Swin Transformer Mixed Precision Training

Reference 30

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no resolver link, observed 2026-08-05T14:55:48.343059Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T14:55:48.343059Z digest=sha256:f7560a6968de0b666a9168a94111195328e4cbf6248f8f167571d32d9b48dc5c

Observation ddd2ba66-2cfd-46d5-92d6-2e00f250bd34 · 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 Mixed Precision Training

Reference 27

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no resolver link, observed 2026-08-05T11:38:40.255601Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T11:38:40.255601Z digest=sha256:84b08b041f84f8944f279201abd7c17634669892a9ec5db9027e83d0aaef127c

Observation 610ade97-66bf-4886-9f68-fdf64f62c82d · inbound

Faster and Memory-Efficient Training of Sequential Recommendation Models for Large Catalogs cites this paper.

Faster and Memory-Efficient Training of Sequential Recommendation Models for Large Catalogs Mixed Precision Training

Reference 23

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verified exact
local_arxiv, observed 2026-05-21T23:24:26.189442Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-21T23:23:26.304190Z digest=sha256:8af5ea7ba0620a0333f867646f5c183726100fb8af859be51bb02cb781cabbf9

Observation 95f26a6c-6ca6-4fd6-be95-0696502e61a3 · inbound

WAVE-DETR Multi-Modal Visible and Acoustic Real-Life Drone Detector cites this paper.

WAVE-DETR Multi-Modal Visible and Acoustic Real-Life Drone Detector Mixed Precision Training

Reference 2018

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no resolver link, observed 2026-08-04T18:37:32.603833Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T18:37:32.603833Z digest=sha256:035fc66761477b84d17e9db9780e5c0f9e5ca90dc964286f87f61081daa8bf69

Observation 1b17e08e-74f0-41d0-aaa7-aef6b2548bd9 · inbound

A Comprehensive FP8 Training Recipe for Reasoning-Enhanced Language Models cites this paper.

A Comprehensive FP8 Training Recipe for Reasoning-Enhanced Language Models Mixed Precision Training

Reference 19

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no resolver link, observed 2026-08-04T14:51:29.901853Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T14:51:29.901853Z digest=sha256:78bea7cee04dfec855cd45ff1e26d00d96ec412b7f03b79e847b94b90ab5aa75

Observation 7b607e40-1368-4393-880c-4fb464af087f · inbound

Why Low-Precision Transformer Training Fails: An Analysis on Flash Attention cites this paper.

Why Low-Precision Transformer Training Fails: An Analysis on Flash Attention Mixed Precision Training

Reference 15

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local_arxiv, observed 2026-05-18T10:02:31.654634Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-18T10:01:56.131253Z digest=sha256:19e264d0ad1cdb821ba4d8f51d9063bdfa2ffa3d654cdb3397990d170c0f32a2

Observation 9336dca8-1076-49c9-9027-8133d3658ce0 · inbound

Beyond Sunk Costs: Boosting LLM Pre-training Efficiency via Orthogonal Growth of Mixture-of-Experts cites this paper.

Beyond Sunk Costs: Boosting LLM Pre-training Efficiency via Orthogonal Growth of Mixture-of-Experts Mixed Precision Training

Reference 14

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verified exact
local_arxiv, observed 2026-05-21T20:40:36.488871Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-21T20:36:22.974054Z digest=sha256:27afb017494b936f064bda360b0a16c6a2fc15e4c866ba8fd71581ec6f4b506c

Observation 3ce20d44-5521-45a0-9a24-eaa25c758f48 · inbound

Recovering Sub-threshold S-wave Arrivals in Deep Learning Phase Pickers via Shape-Aware Loss cites this paper.

Recovering Sub-threshold S-wave Arrivals in Deep Learning Phase Pickers via Shape-Aware Loss Mixed Precision Training

Reference 18

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verified exact
local_arxiv, observed 2026-05-18T00:30:33.222459Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-18T00:25:33.663795Z digest=sha256:c912bb15640a5ec9e0eb70fe32412836b590953a671974ce9b2ef4d6d110eed6

Observation c1b94ed4-d658-493c-b3ec-11b7c6f06b04 · inbound

Energy Scaling Laws for Diffusion Models: Quantifying Compute in Image Generation cites this paper.

Energy Scaling Laws for Diffusion Models: Quantifying Compute in Image Generation Mixed Precision Training

Reference 21

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verified exact
local_arxiv, observed 2026-05-17T21:10:16.397654Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-17T21:08:23.500137Z digest=sha256:e5ea38e2e77b004c5c654b23dc92a1d6ce7e002e87ae9c22426ab70b8ccb1c28

Observation 62702f3f-423f-4e2e-83d0-bcfb6bed084a · inbound

Four Over Six: More Accurate NVFP4 Quantization with Adaptive Block Scaling cites this paper.

Four Over Six: More Accurate NVFP4 Quantization with Adaptive Block Scaling Mixed Precision Training

Reference 1

Resolution
verified exact
local_arxiv, observed 2026-05-17T02:23:52.663065Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-17T02:23:01.845123Z digest=sha256:d1d89fc5259b9baeb6285b6bd725f6e0d4d3b8eb57746b5e2a7a54033c10f92f

Observation 034f50e5-af30-4596-ab27-0bfe5348afb8 · inbound

FastSLM: Hierarchical Temporal Abstraction for Efficient Long-Form Speech Adaptation cites this paper.

FastSLM: Hierarchical Temporal Abstraction for Efficient Long-Form Speech Adaptation Mixed Precision Training

Reference 2018

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unresolved
no resolver link, observed 2026-08-03T12:02:01.164567Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T12:02:01.164567Z digest=sha256:4df3af113b4c2380d10b4bee9b374db5834f9db442e5b64c5944c13b157c20db

Observation 79ac9fa6-930f-436d-9db4-42135a710bbc · inbound

DataStates-LLM: Scalable Checkpointing for Transformer Models Using Composable State Providers cites this paper.

DataStates-LLM: Scalable Checkpointing for Transformer Models Using Composable State Providers Mixed Precision Training

Reference 32

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unresolved
no resolver link, observed 2026-08-03T08:30:57.589590Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T08:30:57.589590Z digest=sha256:a2dcb4a52191e7393c9828aa978b98f12cc8bad349e75bbb2265256ada4a9d79

Observation 8222c87a-a2a1-45ac-8031-35bdeeaea64c · inbound

When RL Meets Adaptive Speculative Training: A Unified Training-Serving System cites this paper.

When RL Meets Adaptive Speculative Training: A Unified Training-Serving System Mixed Precision Training

Reference 20

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verified exact
local_arxiv, observed 2026-05-16T06:37:28.871752Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-16T06:33:41.860803Z digest=sha256:15983a063823deef866d9951e7fba30a94445ae4e803f6044b88d5c8f6e21391

Observation bba21370-4ba9-4ded-8f6c-fd92c3379226 · inbound

AdvSynGNN: Structure-Adaptive Graph Neural Nets via Adversarial Synthesis and Self-Corrective Propagation cites this paper.

AdvSynGNN: Structure-Adaptive Graph Neural Nets via Adversarial Synthesis and Self-Corrective Propagation Mixed Precision Training

Reference 40

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verified exact
local_arxiv, observed 2026-05-15T21:31:39.340990Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-15T21:30:43.925179Z digest=sha256:5f407d85daad23c92d343a9c68a9aaa4bc02799d2052a49c8b8bfdd0a02da239

Observation d92865d6-ffd4-48df-9f5e-87bee74a35a4 · inbound

What is New in Stochastic Rounding: a Survey on Theory, Hardware, and Applications cites this paper.

What is New in Stochastic Rounding: a Survey on Theory, Hardware, and Applications Mixed Precision Training

Reference 36

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no resolver link, observed 2026-07-15T14:02:44.140957Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-15T14:02:44.140957Z digest=sha256:f03b223b4ff8b429e5f8078a4587f17c9d214684a7cb0eb15c0d24280ead38de

Observation d6f40af6-7c12-4e8e-b202-c999b78105c3 · inbound

M$^2$RNN: Non-Linear RNNs with Matrix-Valued States for Scalable Language Modeling cites this paper.

M$^2$RNN: Non-Linear RNNs with Matrix-Valued States for Scalable Language Modeling Mixed Precision Training

Reference 22

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metadata mismatch
local_arxiv, observed 2026-05-15T11:39:59.319717Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-15T11:35:43.088803Z digest=sha256:ae35e9868a6d1a457773a223cb5ec14ba5bad873ad754e049452b44c92678db1

Observation eb1847d7-e873-480c-88eb-581c4a5557f4 · inbound

An Efficient Heterogeneous Co-Design for Fine-Tuning on a Single GPU cites this paper.

An Efficient Heterogeneous Co-Design for Fine-Tuning on a Single GPU Mixed Precision Training

Reference 22

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no resolver link, observed 2026-07-13T23:47:39.219131Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T23:47:39.219131Z digest=sha256:135613e3f4acb04e607d5a7e1c18a03722c12ce5fd3f6094887e11a5c84fb19a

Observation 9000331f-bb79-453e-9025-6a42247bd6de · inbound

Neural Harmonic Textures for High-Quality Primitive Based Neural Reconstruction cites this paper.

Neural Harmonic Textures for High-Quality Primitive Based Neural Reconstruction Mixed Precision Training

Reference 40

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metadata mismatch
local_arxiv, observed 2026-05-13T22:23:21.271745Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-13T22:21:30.528663Z digest=sha256:c6912fb0b4fb96b27c0ec9ca169e859403192df8819878b8e12377438ecbcfcb

Observation 39a00492-8d44-470d-b8bb-fc9d52620ae0 · inbound

Neural Harmonic Textures for High-Quality Primitive Based Neural Reconstruction cites this paper.

Neural Harmonic Textures for High-Quality Primitive Based Neural Reconstruction Mixed Precision Training

Reference 40

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unresolved
no resolver link, observed 2026-07-13T14:31:36.020496Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T14:31:36.020496Z digest=sha256:9dff2aef83255bbca2465167bbc0ac0a589c9597d218c362263c3ee02dbc22f2

Observation 6e4071b5-f445-4d21-b229-d19c23457f66 · inbound

BAAI Cardiac Agent: An intelligent multimodal agent for automated reasoning and diagnosis of cardiovascular diseases from cardiac magnetic resonance imaging cites this paper.

BAAI Cardiac Agent: An intelligent multimodal agent for automated reasoning and diagnosis of cardiovascular diseases from cardiac magnetic resonance imaging Mixed Precision Training

Reference 45

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verified exact
local_arxiv, observed 2026-05-14T22:18:04.684943Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-14T22:14:41.083628Z digest=sha256:37fda9e1805f0c2f1c210465d2f63ad1f1c9808eb4cfc089093aaf4d7fe3e47e

Observation ee2daf57-10fc-4364-91a4-636cd7737a77 · inbound

FlashSAC: Fast and Stable Off-Policy Reinforcement Learning for High-Dimensional Robot Control cites this paper.

FlashSAC: Fast and Stable Off-Policy Reinforcement Learning for High-Dimensional Robot Control Mixed Precision Training

Reference 52

Resolution
verified exact
arxiv_id, observed 2026-05-12T10:47:18.676998Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T20:04:56.512544Z digest=sha256:a46659b4ca91788b9a6f1cdd2e3d1404f06e733478c7270aa56d89c237306859

Observation 59c445b3-1153-4913-89c6-01e8bcc82cac · inbound

FlashSAC: Fast and Stable Off-Policy Reinforcement Learning for High-Dimensional Robot Control cites this paper.

FlashSAC: Fast and Stable Off-Policy Reinforcement Learning for High-Dimensional Robot Control Mixed Precision Training

Reference 52

Resolution
verified exact
local_arxiv, observed 2026-05-19T17:12:41.259530Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-19T17:08:31.770889Z digest=sha256:e1d7a397ebb5c393afd4bd88dd557a8a74522f0753fd5e99ae0c4acb91eba234

Observation 30790646-d502-4cc6-8ed6-ba1b738bf44c · inbound

Multimodal Reasoning with LLM for Encrypted Traffic Interpretation: A Benchmark cites this paper.

Multimodal Reasoning with LLM for Encrypted Traffic Interpretation: A Benchmark Mixed Precision Training

Reference 26

Resolution
verified exact
arxiv_id, observed 2026-05-12T10:47:18.676998Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T18:00:59.294760Z digest=sha256:803126376643197df10a9b55dbfd5c1843ebff421cf6de6924bae9983b383bb0

Observation a35a5520-96b0-45d4-9bbb-08686046beb6 · inbound

LLM-PRISM: Characterizing Silent Data Corruption from Permanent GPU Faults in LLM Training cites this paper.

LLM-PRISM: Characterizing Silent Data Corruption from Permanent GPU Faults in LLM Training Mixed Precision Training

Reference 27

Resolution
verified exact
arxiv_id, observed 2026-05-12T10:47:18.676998Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T16:41:25.467287Z digest=sha256:b54d2dd41ec8fd99909f104934d53824c4076381a0e154d050bf438ec987262f

Observation 619b62fd-d8b8-4c56-a10e-31701119aafc · inbound

Aharanov-Bohm Type Arbitrage and Homological Obstructions in Financial Markets cites this paper.

Aharanov-Bohm Type Arbitrage and Homological Obstructions in Financial Markets Mixed Precision Training

Reference 43

Resolution
unresolved
no resolver link, observed 2026-07-12T22:37:03.025712Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T22:37:03.025712Z digest=sha256:191526b81630e39a5ef396abc778602ddb3fb21c0bcda9dd8f37e03f4b8543ed

Observation a83f1134-c218-4d72-ab0a-a98b6e3c29d4 · inbound

From Characterization to Microarchitecture: Designing an Elegant and Reliable BFP-Based NPU cites this paper.

From Characterization to Microarchitecture: Designing an Elegant and Reliable BFP-Based NPU Mixed Precision Training

Reference 43

Resolution
verified exact
arxiv_id, observed 2026-05-12T10:47:18.676998Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T16:17:03.838762Z digest=sha256:9374835ee2af742db07ae2c61844d2067fcc7275d59754a62a9543c5b694c4b5

Observation 681f6dde-3d52-48b7-8402-68c2e85f6e1d · inbound

SHARE: Social-Humanities AI for Research and Education cites this paper.

SHARE: Social-Humanities AI for Research and Education Mixed Precision Training

Reference 3

Resolution
verified exact
arxiv_id, observed 2026-05-12T10:47:18.676998Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T15:36:31.706714Z digest=sha256:6ac3f3b67e110389dfab93c0d4373f81d3a4d90afc36a8377c10ffa95a8f61c5

Observation 18af856f-b8c6-44d9-a100-00d1ff2a4499 · inbound

The Illusion of Equivalence: Systematic FP16 Divergence in KV-Cached Autoregressive Inference cites this paper.

The Illusion of Equivalence: Systematic FP16 Divergence in KV-Cached Autoregressive Inference Mixed Precision Training

Reference 16

Resolution
verified exact
arxiv_id, observed 2026-05-12T10:47:18.676998Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T11:23:37.593409Z digest=sha256:9685a33e808b123c7f6243be39d8f73ca49f4ae7c37bcea81c838ce28883f773

Observation 765d2b9f-3db7-4b5b-a5df-a017e70fa2c9 · inbound

PINNACLE: An Open-Source Computational Framework for Classical and Quantum PINNs cites this paper.

PINNACLE: An Open-Source Computational Framework for Classical and Quantum PINNs Mixed Precision Training

Reference 46

Resolution
verified exact
arxiv_id, observed 2026-05-12T10:47:18.676998Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T08:46:33.056002Z digest=sha256:050912c8122bb634281ce39f2b49575c6af7142e13ba1450bd5b2e7766e4ee82

Observation 1acc07ec-8d4c-4ca5-baaa-a793d671d61b · inbound

Training Time Prediction for Mixed Precision-based Distributed Training cites this paper.

Training Time Prediction for Mixed Precision-based Distributed Training Mixed Precision Training

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-05-12T10:47:18.676998Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T08:35:30.857904Z digest=sha256:08d0d692f96024c53c197452d17e1347550a4de92a0b61ce20f2f3e1c5d4b8c1

Observation 60bed4c2-5b79-4518-ab5d-f1ac506b7ba7 · inbound

Dual Triangle Attention: Effective Bidirectional Attention Without Positional Embeddings cites this paper.

Dual Triangle Attention: Effective Bidirectional Attention Without Positional Embeddings Mixed Precision Training

Reference 61

Resolution
metadata mismatch
arxiv_id, observed 2026-05-12T10:47:18.676998Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T16:50:43.716813Z digest=sha256:fc8765680c7321829a3f85ca36f5c4fca680ad7a732f1fe89027c71373798f1f

Observation bb33cd2e-fbfa-4c95-9f78-94dfaca115c9 · inbound

Mass Matrix Assembly on Tensor Cores for Implicit Particle-In-Cell Methods cites this paper.

Mass Matrix Assembly on Tensor Cores for Implicit Particle-In-Cell Methods Mixed Precision Training

Reference 2

Resolution
verified exact
arxiv_id, observed 2026-05-12T10:47:18.676998Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T01:48:28.819072Z digest=sha256:e2d2ccf718eed76757f8ee4e759102dd72880d6e8a64fc8f11304ad67e01617d

Observation e77fdc7d-5fc9-433c-a37a-5a8f605cc3d7 · inbound

Hidden Reliability Risks in Large Language Models: Systematic Identification of Precision-Induced Output Disagreements cites this paper.

Hidden Reliability Risks in Large Language Models: Systematic Identification of Precision-Induced Output Disagreements Mixed Precision Training

Reference 30

Resolution
verified exact
local_arxiv, observed 2026-05-13T22:03:20.483366Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-13T21:59:42.435082Z digest=sha256:8866e65c8c72e002acd43cb98301ce761c83786a772957ec9b77328524495a3f

Observation 1cbe1891-df5d-405d-8065-5274fb3c9ff6 · inbound

TACO: Efficient Communication Compression of Intermediate Tensors for Scalable Tensor-Parallel LLM Training cites this paper.

TACO: Efficient Communication Compression of Intermediate Tensors for Scalable Tensor-Parallel LLM Training Mixed Precision Training

Reference 36

Resolution
verified exact
arxiv_id, observed 2026-05-12T10:47:18.676998Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-08T01:36:41.804171Z digest=sha256:94abe99708a9cc40ea2b4b1d9f0f8bcd6ebbff11e93c2b28d0087fb1919d6552

Observation 568a599a-4a5b-435e-b4ec-eddaa0675af3 · inbound

Leveraging LLMs for Multi-File DSL Code Generation: An Industrial Case Study cites this paper.

Leveraging LLMs for Multi-File DSL Code Generation: An Industrial Case Study Mixed Precision Training

Reference 28

Resolution
verified exact
arxiv_id, observed 2026-05-12T10:47:18.676998Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-08T02:49:14.533263Z digest=sha256:9ba481cc452121a6096486f310fed5e76e35dfa057d59f08f74eccbd3b86679f

Observation 0a80b4b3-c510-4dd1-9547-a240d8eef6f4 · inbound

CurEvo: Curriculum-Guided Self-Evolution for Video Understanding cites this paper.

CurEvo: Curriculum-Guided Self-Evolution for Video Understanding Mixed Precision Training

Reference 56

Resolution
verified exact
arxiv_id, observed 2026-05-12T10:47:18.676998Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-07T11:52:26.828633Z digest=sha256:7a360dbfd23148b2602304b05c86f245c2749980e0a02b1f8c7ea9025b6acad1

Observation 06f73184-3e99-40d1-9177-d927b6e427a9 · inbound

Efficient Training on Multiple Consumer GPUs with RoundPipe cites this paper.

Efficient Training on Multiple Consumer GPUs with RoundPipe Mixed Precision Training

Reference 32

Resolution
verified exact
arxiv_id, observed 2026-05-12T10:47:18.676998Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-07T10:37:22.251566Z digest=sha256:fbd5b972a8a705fc9be2b74ed702a27d61b3b14e2d676b85ac8cf2c1b8fbb75a

Observation 86ec1ae3-fb5b-48e8-92be-3841f88b26e3 · inbound

Colinearity Decay: Training Quantization-Friendly ViTs with Outlier Decay cites this paper.

Colinearity Decay: Training Quantization-Friendly ViTs with Outlier Decay Mixed Precision Training

Reference 34

Resolution
verified exact
arxiv_id, observed 2026-05-12T10:47:18.676998Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-09T14:24:54.946996Z digest=sha256:c590f6cb1d64f10faa94dc5c3ff1823e76930ac802c3bb4dc1110034baa9809c

Observation e1d108a7-84f2-48dc-b7d6-03c18438ea49 · inbound

Assessing Performance and Porting Strategies for Gravitational $N$-Body Simulations on the RISC-V-Based Tenstorrent Wormhole\textsuperscript{\texttrademark} cites this paper.

Assessing Performance and Porting Strategies for Gravitational $N$-Body Simulations on the RISC-V-Based Tenstorrent Wormhole\textsuperscript{\texttrademark} Mixed Precision Training

Reference 10

Resolution
metadata mismatch
arxiv_id, observed 2026-05-12T10:47:18.676998Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-08T17:19:30.646807Z digest=sha256:e746403d6b3e1cc8500caa2586660d42f4c28eca33f5db9fd8140d6f9e473f1f

Observation 62a0f38a-93de-470f-ae4c-471906cbe14d · inbound

CuraView: A Multi-Agent Framework for Medical Hallucination Detection with GraphRAG-Enhanced Knowledge Verification cites this paper.

CuraView: A Multi-Agent Framework for Medical Hallucination Detection with GraphRAG-Enhanced Knowledge Verification Mixed Precision Training

Reference 51

Resolution
verified exact
local_arxiv, observed 2026-05-12T10:56:30.553230Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-07T04:07:33.610288Z digest=sha256:167065049bbce43a49cf9a7b059c086ae1770003b1dd0815ef4b826ea226b2f9

Observation 67f74813-00d8-4f96-9d3b-83f9f86e4c83 · inbound

MP-ISMoE: Mixed-Precision Interactive Side Mixture-of-Experts for Efficient Transfer Learning cites this paper.

MP-ISMoE: Mixed-Precision Interactive Side Mixture-of-Experts for Efficient Transfer Learning Mixed Precision Training

Reference 141

Resolution
metadata mismatch
arxiv_id, observed 2026-05-12T10:47:18.676998Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-10T17:19:59.247074Z digest=sha256:a16e113d55296c696c4d7127982dacb52545f159826a60eb144f8f8c5a9a283c

Observation bdbee295-32e1-4bef-b1e6-8c1d38669ce9 · inbound

TransDot: An Area-efficient Reconfigurable Floating-Point Unit for Trans-Precision Dot-Product Accumulation for FPGA AI Engines cites this paper.

TransDot: An Area-efficient Reconfigurable Floating-Point Unit for Trans-Precision Dot-Product Accumulation for FPGA AI Engines Mixed Precision Training

Reference 7

Resolution
verified exact
arxiv_id, observed 2026-05-12T10:47:18.676998Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-11T01:12:17.548356Z digest=sha256:5b03eacaef5541b82e1a7c5ad947a6dee3666ceab5e4a0f11f9dc8d2ffca4ab5

Observation 8991f17d-d2e7-4d2b-b88b-9a51511dc8ff · inbound

Probing Routing-Conditional Calibration in Attention-Residual Transformers cites this paper.

Probing Routing-Conditional Calibration in Attention-Residual Transformers Mixed Precision Training

Reference 6

Resolution
verified exact
arxiv_id, observed 2026-05-12T10:47:18.676998Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-12T05:05:17.483932Z digest=sha256:fd3c690d9b0621032efedee1918d320c92151d8f00c451d2d4784a25232b1b72

Observation 3294d2ed-7a08-4c8a-add6-ede6afa1af74 · inbound

LoKA: Low-precision Kernel Applications for Recommendation Models At Scale cites this paper.

LoKA: Low-precision Kernel Applications for Recommendation Models At Scale Mixed Precision Training

Reference 52

Resolution
verified exact
arxiv_id, observed 2026-05-12T10:47:18.676998Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-12T04:33:41.411292Z digest=sha256:5a240bb52254bdabf10c56b51b434dd95f9c3d2529e2e69b7b3ceadcdc5e81d3

Observation 24c07d7a-917f-4525-9f4a-a6e8f41daab1 · inbound

LoKA: Low-precision Kernel Applications for Recommendation Models At Scale cites this paper.

LoKA: Low-precision Kernel Applications for Recommendation Models At Scale Mixed Precision Training

Reference 52

Resolution
verified exact
local_arxiv, observed 2026-05-15T04:59:46.161338Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-15T04:55:01.973832Z digest=sha256:b098e6249ddc1d9a5a18815c1da1e014200216c411a81e7a7d8e904833ab2639

Observation a67966e0-f0d0-4a54-9716-1cca3c962dcc · inbound

Stellar Density Classification and Regression for CSST Multi-color Imaging Using Deep Learning cites this paper.

Stellar Density Classification and Regression for CSST Multi-color Imaging Using Deep Learning Mixed Precision Training

Reference 30

Resolution
metadata mismatch
local_arxiv, observed 2026-05-19T22:47:49.892339Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-19T22:45:20.080342Z digest=sha256:0dfc449945f69c4dede29efd90e1cc11038d991238c98cceafc975d992dcdfca

Observation 2e9d7c9d-2b4d-4657-ae2f-11f7e058ffab · inbound

ImplicitTerrainV2: Wavelet-Guided Spatially Adaptive Neural Terrain Representation cites this paper.

ImplicitTerrainV2: Wavelet-Guided Spatially Adaptive Neural Terrain Representation Mixed Precision Training

Reference 56

Resolution
verified exact
local_arxiv, observed 2026-05-22T07:36:14.118882Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-22T07:35:20.036470Z digest=sha256:ad360bd8b5d72ee8f0049a8b7115dd941ea67b61aa850c561128ecbb93948baf

Observation 5e2c2028-988a-41a0-964b-254cc63f4cd3 · inbound

Mixed-Precision in adaptive Runge-Kutta method for large ODE systems cites this paper.

Mixed-Precision in adaptive Runge-Kutta method for large ODE systems Mixed Precision Training

Reference 33

Resolution
verified exact
local_arxiv, observed 2026-05-25T03:16:33.768190Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-25T03:15:47.197902Z digest=sha256:7879d70ccc6f1ac6d6ec4b305607da48181f03be7594bac2d51b252c246e9b26

Observation 5964b405-6ec4-453a-afaa-23cbf3bdea7a · inbound

MONA: Muon Optimizer with Nesterov Acceleration for Scalable Language Model Training cites this paper.

MONA: Muon Optimizer with Nesterov Acceleration for Scalable Language Model Training Mixed Precision Training

Reference 36

Resolution
verified exact
local_arxiv, observed 2026-06-29T19:23:54.146743Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-06-29T19:15:49.229099Z digest=sha256:d86d5cc81c23d512265b3c31a78bc4754b69aec08a31fa9559003957f2167347

Observation 29db3841-e854-4e27-8b98-27ca3edefeb0 · inbound

Inner Product Aware Quantization: Provably Fast, Accurate, and Adaptive Algorithms cites this paper.

Inner Product Aware Quantization: Provably Fast, Accurate, and Adaptive Algorithms Mixed Precision Training

Reference 22

Resolution
verified exact
local_arxiv, observed 2026-06-28T22:52:45.430187Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-06-28T22:49:27.913360Z digest=sha256:b1c6b4ec32d65ed07cb804d199b8bc4c96dd6438be4454fe2180f56943f9224d

Observation 150da63f-56fb-4676-b64a-bb5a14c0c766 · inbound

GNMR: Runtime Stability Control for Low-Precision Large Language Model Training cites this paper.

GNMR: Runtime Stability Control for Low-Precision Large Language Model Training Mixed Precision Training

Reference 37

Resolution
verified exact
local_arxiv, observed 2026-06-28T19:42:36.072794Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-06-28T18:53:47.187437Z digest=sha256:a11421cd8d41c14eb073a849ef3901bd73796165f9b51128d1161d5c50c5e7c4

Observation 5134dd75-343b-444f-be77-f5da06fb1001 · inbound

Policy-based Foveated Imaging and Perception cites this paper.

Policy-based Foveated Imaging and Perception Mixed Precision Training

Reference 116

Resolution
metadata mismatch
local_arxiv, observed 2026-07-01T22:26:17.724544Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-06-28T15:23:48.688620Z digest=sha256:07346314936639f0eb01eb298a426b0a83ea0711963fb9088d5e686e63542781

Observation 38ff5eb0-7ad5-4dfa-bb34-9fdd64cd500a · inbound

TadA-Bench: A Million-Variant Benchmark for Future-Round Discovery Toward Agentic Protein Engineering cites this paper.

TadA-Bench: A Million-Variant Benchmark for Future-Round Discovery Toward Agentic Protein Engineering Mixed Precision Training

Reference 110

Resolution
metadata mismatch
local_arxiv, observed 2026-06-28T20:12:37.857337Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-06-28T20:01:10.638647Z digest=sha256:50da378a3568152a5e768bac075fd5d9148fe1f823e8b0c7ac7def55c7b8439e

Observation dc9c169e-8682-4f00-8801-23172c49bb18 · inbound

Chiaroscuro Attention: Spending Compute in the Dark cites this paper.

Chiaroscuro Attention: Spending Compute in the Dark Mixed Precision Training

Reference 29

Resolution
verified exact
local_arxiv, observed 2026-07-02T21:47:27.804773Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-06-27T19:32:51.720078Z digest=sha256:34d25a2fa6bdfa98a78c3fd69a559959341111ee0e8b5c5c06c4def20adbe823

Observation 45f8d090-7309-4ecd-acc6-30e13343f251 · inbound

Statistical Properties of Training & Generalization cites this paper.

Statistical Properties of Training & Generalization Mixed Precision Training

Reference 81

Resolution
metadata mismatch
local_arxiv, observed 2026-07-02T21:57:25.510841Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-07-02T21:51:13.457071Z digest=sha256:53bf2866bbbd68993eb050941a93a4f42d73b1619d9827229e18aa80c6023964

Observation 4e5ef729-3e71-41d4-b37c-85e7220b02b9 · inbound

The Energy Consumption of Transformer Fine-Tuning: A Roofline-Inspired Scaling Model cites this paper.

The Energy Consumption of Transformer Fine-Tuning: A Roofline-Inspired Scaling Model Mixed Precision Training

Reference 33

Resolution
metadata mismatch
local_arxiv, observed 2026-07-04T10:09:45.436537Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-06-26T09:04:05.257526Z digest=sha256:3b1fe04baf38384fe6e47d3a252980fa377ba7db1c6b9565de2cfa6864d1abb9

Observation 6d476fc7-d45b-4737-acc4-e11c8efb6dc5 · inbound

ScaleAware-JEPA: Latent Representation for Discovery in Multiscale Physical Fields cites this paper.

ScaleAware-JEPA: Latent Representation for Discovery in Multiscale Physical Fields Mixed Precision Training

Reference 61

Resolution
metadata mismatch
local_arxiv, observed 2026-06-30T07:54:21.534374Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-06-30T07:47:27.281103Z digest=sha256:cef9994a15edee220824d395e06b7a23a5a6afa4052b7f1ed5c750e91fb844b9

Observation 8e0a6df9-c8d3-42b3-b899-f167f0b930a8 · inbound

Unified Audio Intelligence Without Regressing on Text Intelligence cites this paper.

Unified Audio Intelligence Without Regressing on Text Intelligence Mixed Precision Training

Reference 74

Resolution
metadata mismatch
local_arxiv, observed 2026-07-08T00:04:22.604659Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-07-07T23:59:38.702609Z digest=sha256:7a267a5f3a393bfeaa39610ee5d58dfe930be7d85f268f8bc0f72c59b851fa9a

Observation 13a381f6-3310-419d-9227-59f085a4a8c9 · inbound

Unified Audio Intelligence Without Regressing on Text Intelligence cites this paper.

Unified Audio Intelligence Without Regressing on Text Intelligence Mixed Precision Training

Reference 74

Resolution
unresolved
no resolver link, observed 2026-07-11T07:46:49.059192Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-11T07:46:49.059192Z digest=sha256:a0dfdffbe2c0825316c928022ec67ceb279ed1675d1c358e14bcbcae400041dd

Observation 74d9f99b-1533-4396-8b9c-b7ac870672df · inbound

EcoVision: AI-Powered Drone Imaging for Salt Marsh Vegetation Monitoring and Dominance Mapping cites this paper.

EcoVision: AI-Powered Drone Imaging for Salt Marsh Vegetation Monitoring and Dominance Mapping Mixed Precision Training

Reference 55

Resolution
verified exact
local_arxiv, observed 2026-07-08T16:45:07.435795Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-07-08T16:36:22.647176Z digest=sha256:7571bb257d9544bf10a073e17d363f4ebc20946287af5235cd865dac1f768511

Observation 75ae97cc-eea2-4299-99a6-6ba24ebfe5e2 · inbound

GIFT: Geometry-Informed Low-precision Gradient Communication for LLM Pretraining cites this paper.

GIFT: Geometry-Informed Low-precision Gradient Communication for LLM Pretraining Mixed Precision Training

Reference 30

Resolution
verified exact
local_arxiv, observed 2026-07-09T09:16:06.471623Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-07-09T09:15:12.214083Z digest=sha256:a5e6f092f39d5f5a6454597f51dcf421d675d3ef372845e8e7fffafef2cb79c2

Observation a12530ed-3fca-4d3b-82c3-988d908a6ca4 · inbound

ECGLight: Compute-Light Framework For Paper ECG Digitization and Myocardial Infarction Screening cites this paper.

ECGLight: Compute-Light Framework For Paper ECG Digitization and Myocardial Infarction Screening Mixed Precision Training

Reference 40

Resolution
verified exact
local_arxiv, observed 2026-07-09T02:55:53.489282Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-07-09T02:52:36.673562Z digest=sha256:d12e56de59a5ff48e6c8b4cce8d7f839d9fdf8d644d9b42f586997e2d00a776c

Observation a54af58d-c298-44ac-ad08-985208801cf1 · inbound

Reference Traces for Auditing Invisible Weight Updates and Guiding Exact-Budget Protection cites this paper.

Reference Traces for Auditing Invisible Weight Updates and Guiding Exact-Budget Protection Mixed Precision Training

Reference 16

Resolution
unresolved
no resolver link, observed 2026-07-14T15:32:26.691504Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T15:32:26.691504Z digest=sha256:6f8d606eaa819e2c6c97f149803e16a996ba88472b1317c2945df89fb9a4e9a4

Observation c2f05478-a164-4b8d-acb9-ce93f4bc828a · inbound

LaCache: Exact Caching and Precision-Adaptive Inference for Diffusion Large Language Models cites this paper.

LaCache: Exact Caching and Precision-Adaptive Inference for Diffusion Large Language Models Mixed Precision Training

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-02T01:01:53.915589Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T01:01:53.915589Z digest=sha256:d25a48410d6d913596eb1620a286fb9a604ee78ab2801e018953c741a584416d

Observation 1e7a4a44-a773-460e-928b-ad3ba0d012ae · inbound

MXSens: Sensitivity-Aware Mixed-Precision Quantization for Efficient LLM Inference cites this paper.

MXSens: Sensitivity-Aware Mixed-Precision Quantization for Efficient LLM Inference Mixed Precision Training

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-01T17:12:30.460917Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T17:12:30.460917Z digest=sha256:330f7104b7bc39ef53cfe65b385078a498f221cd292a2049781baef278e97f8e

Observation da1f1e15-de38-43c3-8aee-5f7326601c8b · inbound

A Second-Moment Theory for Floating-Point Reduction Trees cites this paper.

A Second-Moment Theory for Floating-Point Reduction Trees Mixed Precision Training

Reference 2018

Resolution
unresolved
no resolver link, observed 2026-08-01T14:34:14.682480Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T14:34:14.682480Z digest=sha256:092e9e594b4081e2655a6e0a420ca8a2b3a265b6d553770243a46c69bb134d8b

Observation 6a8fb7aa-49da-43be-b952-406da9b2abcc · inbound

Fine-grained Computation-Communication Overlap via Tile-level Signaling and Scheduling for Mixture-of-Experts cites this paper.

Fine-grained Computation-Communication Overlap via Tile-level Signaling and Scheduling for Mixture-of-Experts Mixed Precision Training

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-01T12:31:08.382963Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T12:31:08.382963Z digest=sha256:20c136dbd26a90377a51fabed15e1855987c1b63e01ca76ac98aeea642af5768

Observation ccce5e19-0bc5-4f1c-b6b5-ee1b7c407119 · inbound

One QK Channel, Many Sources: Guarding Low-Precision Attention Collapse cites this paper.

One QK Channel, Many Sources: Guarding Low-Precision Attention Collapse Mixed Precision Training

Reference 2017

Resolution
unresolved
no resolver link, observed 2026-08-04T15:20:16.141469Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T15:20:16.141469Z digest=sha256:08c92929352bbc805f1a6a50e407cdaf84783e9fec7129f8fe76401881f67732