Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-12T12:59:20.994114Z
Paper Citation Record · LEDGER
Fast training of large kernel models with delayed projections
As of 13 August 2026, this Paper Citation Record lists 29 of 29 outbound references and 0 inbound Pith citation observations for arXiv:2411.16658.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
29 of 29 outbound references displayed
- verified exact0
- verified fuzzy13
- unresolved16
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 6ea94a60-b37d-4e6d-80dd-ab37a6423c48 · outbound
This paper cites write newline.
Fast training of large kernel models with delayed projections write newline
Reference 1
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T12:59:20.904645Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation bc85bb69-4735-44c0-93d0-cb03c6e894d8 · outbound
This paper cites Toward large kernel models.
Fast training of large kernel models with delayed projections Toward large kernel models
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T12:59:21.373995Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 1befdb95-64ae-47ab-a825-80531070eea9 · outbound
This paper cites On the nystrom approximation for preconditioning in kernel machines.
Fast training of large kernel models with delayed projections On the nystrom approximation for preconditioning in kernel machines
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T12:59:21.364340Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation ba592096-a18e-4e16-980b-a26ac44cdb9a · outbound
This paper cites To understand deep learning we need to understand kernel learning.
Fast training of large kernel models with delayed projections To understand deep learning we need to understand kernel learning
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T12:59:21.355306Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 26097c4b-241a-4240-b6b5-e4e5ab645a85 · outbound
This paper cites Reconciling modern machine-learning practice and the classical bias--variance trade-off.
Fast training of large kernel models with delayed projections Reconciling modern machine-learning practice and the classical bias--variance trade-off
Reference 5
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7e58c014-d28b-428a-b883-6993728f60c4 · outbound
This paper cites Nytro: When subsampling meets early stopping.
Fast training of large kernel models with delayed projections Nytro: When subsampling meets early stopping
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T12:59:21.340811Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 6bef0c54-348e-4088-b337-89c14b887d83 · outbound
This paper cites Imagenet: A large-scale hierarchical image database.
Fast training of large kernel models with delayed projections Imagenet: A large-scale hierarchical image database
Reference 7
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T12:59:20.926631Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d7a1698e-aa5d-40b6-b39a-bd5e2f8716a9 · outbound
This paper cites Product kernel interpolation for scalable gaussian processes.
Fast training of large kernel models with delayed projections Product kernel interpolation for scalable gaussian processes
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T12:59:21.327014Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 071d9ad5-bb2e-404d-8e82-1a8cd1cc1b22 · outbound
This paper cites Evaluation of neural architectures trained with square loss vs cross-entropy in classification tasks.
Fast training of large kernel models with delayed projections Evaluation of neural architectures trained with square loss vs cross-entropy in classification tasks
Reference 9
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 604ccc4a-773c-4e94-8d39-e707133c44bb · outbound
This paper cites Neural tangent kernel: Convergence and generalization in neural networks.
Fast training of large kernel models with delayed projections Neural tangent kernel: Convergence and generalization in neural networks
Reference 10
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T12:59:20.936323Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5021ec51-abf1-4eca-ae07-8502ca73e6be · outbound
This paper cites Speech & language processing.
Fast training of large kernel models with delayed projections Speech & language processing
Reference 11
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 46f505db-b2a4-42af-bc61-79170b092c43 · outbound
This paper cites Learning multiple layers of features from tiny images.
Fast training of large kernel models with delayed projections Learning multiple layers of features from tiny images
Reference 12
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T12:59:20.941727Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e400ff2c-32d5-4bb0-8cc3-a0ffa31ee390 · outbound
This paper cites WebVision Database: Visual Learning and Understanding from Web Data.
Fast training of large kernel models with delayed projections WebVision Database: Visual Learning and Understanding from Web Data
Reference 13
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T12:59:20.944007Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 58624ece-348c-49a1-8ab4-9002865cd2ae · outbound
This paper cites Diving into the shallows: a computational perspective on large-scale shallow learning.
Fast training of large kernel models with delayed projections Diving into the shallows: a computational perspective on large-scale shallow learning
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T12:59:21.299439Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 18f342de-016e-4d8d-aa3b-4b53cedf5d5a · outbound
This paper cites Kernel machines that adapt to gpus for effective large batch training.
Fast training of large kernel models with delayed projections Kernel machines that adapt to gpus for effective large batch training
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T12:59:21.290965Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 87d6bb66-9381-4d43-9093-a9f197707ffb · outbound
This paper cites an unresolved cited work.
Fast training of large kernel models with delayed projections Unresolved cited work
Reference 16
- Resolution
- unresolved
- raw_fallback, observed 2026-08-12T12:59:21.281680Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 4df88951-c05b-497d-ba0f-e6d52d31e14b · outbound
This paper cites Kernel methods through the roof: handling billions of points efficiently.
Fast training of large kernel models with delayed projections Kernel methods through the roof: handling billions of points efficiently
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T12:59:21.272487Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 4ddea7fc-bdd8-439d-93fa-a310bd305358 · outbound
This paper cites The deep bootstrap framework: Good online learners are good offline generalizers.
Fast training of large kernel models with delayed projections The deep bootstrap framework: Good online learners are good offline generalizers
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T12:59:21.264492Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 9976cb00-a5fd-4a63-8952-fba466c057f0 · outbound
This paper cites Librispeech: an asr corpus based on public domain audio books.
Fast training of large kernel models with delayed projections Librispeech: an asr corpus based on public domain audio books
Reference 19
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d036c44f-23bf-4f24-9964-011d572ec4cb · outbound
This paper cites Have askotch: Fast methods for large-scale, memory-constrained kernel ridge regression.
Fast training of large kernel models with delayed projections Have askotch: Fast methods for large-scale, memory-constrained kernel ridge regression
Reference 20
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T12:59:20.966904Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7894c6c1-5b44-4cf7-af5f-0e057a96cab7 · outbound
This paper cites Falkon: An optimal large scale kernel method.
Fast training of large kernel models with delayed projections Falkon: An optimal large scale kernel method
Reference 21
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T12:59:20.969687Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f3cbc413-aa1f-4ebb-b8ee-82870e9d29ce · outbound
This paper cites Pegasos: Primal estimated sub-gradient solver for svm.
Fast training of large kernel models with delayed projections Pegasos: Primal estimated sub-gradient solver for svm
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T12:59:21.246457Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 38e94fee-525c-4363-b8e0-b1b0e1596e5d · outbound
This paper cites Variational learning of inducing variables in sparse gaussian processes.
Fast training of large kernel models with delayed projections Variational learning of inducing variables in sparse gaussian processes
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T12:59:21.237899Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 732282f8-8018-42bd-bdfe-f746dee55574 · outbound
This paper cites Towns, T.
Fast training of large kernel models with delayed projections Towns, T
Reference 24
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T12:59:20.977951Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8778689e-8656-42df-9f3a-61bda855e568 · outbound
This paper cites ESPnet : End-to-end speech processing toolkit.
Fast training of large kernel models with delayed projections ESPnet : End-to-end speech processing toolkit
Reference 25
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T12:59:20.981532Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 461d488d-a356-49ca-b87e-7bcd09d4ddc9 · outbound
This paper cites Pytorch image models.
Fast training of large kernel models with delayed projections Pytorch image models
Reference 26
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation be72936e-afa5-457e-a579-dc601eff459c · outbound
This paper cites Using the nystr \"o m method to speed up kernel machines.
Fast training of large kernel models with delayed projections Using the nystr \"o m method to speed up kernel machines
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T12:59:21.224722Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 82163425-e1f9-4e4a-bd39-956b6b1aef1b · outbound
This paper cites Kernel interpolation for scalable structured gaussian processes (kiss-gp).
Fast training of large kernel models with delayed projections Kernel interpolation for scalable structured gaussian processes (kiss-gp)
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T12:59:21.215498Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 2448ed6c-a174-4cf4-b2a1-d624e4d06d4b · outbound
This paper cites Understanding deep learning (still) requires rethinking generalization.
Fast training of large kernel models with delayed projections Understanding deep learning (still) requires rethinking generalization
Reference 29
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T12:59:20.994114Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Pith citing papers
No inbound Pith citation observations are available.