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Paper Citation Record · LEDGER

DAIF: A Data-Driven Intermediate Fusion Framework for Multimodal Supervised Learning via Approximate Message Passing

As of 18 August 2026, this Paper Citation Record lists 100 of 130 outbound references and 0 inbound Pith citation observations for arXiv:2608.02769.

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

pith.paper-citation-record.v1
2608.02769 v1

Coverage vector

measured 100 of 130 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T15:06:09.139494Z

measured 100 of 100 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+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

100 of 130 outbound references displayed

  • verified exact1
  • verified fuzzy28
  • unresolved65
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch5

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ef0b34ce-06f5-4391-84db-46e1b41221ba · outbound

This paper cites Optimal Spectral Algorithms for Correlated Two-view Models in High Dimensions.

DAIF: A Data-Driven Intermediate Fusion Framework for Multimodal Supervised Learning via Approximate Message Passing Optimal Spectral Algorithms for Correlated Two-view Models in High Dimensions

Reference 1

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source=arxiv_source observed=2026-08-15T15:06:08.449409Z digest=sha256:41447cf46aef18e1f4beb81dd1bdd5b19277fc8ac79051777c1515c0dd9e3ff6

Observation f18852d6-eec7-4b1d-ad50-307c7b592e7c · outbound

This paper cites Sharp Spectral Thresholds for Multi-View Spiked Wigner Models.

DAIF: A Data-Driven Intermediate Fusion Framework for Multimodal Supervised Learning via Approximate Message Passing Sharp Spectral Thresholds for Multi-View Spiked Wigner Models

Reference 2

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local_arxiv, observed 2026-08-15T15:06:10.064898Z

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source=arxiv_source observed=2026-08-15T15:06:08.455653Z digest=sha256:d151e9784f685352f3f6ef33cf03d647132c0cda62b41148a57ecec2b6203939

Observation 1aa31c64-fee7-4795-8834-5390b4232539 · outbound

This paper cites Nature Reviews Genetics , volume=.

DAIF: A Data-Driven Intermediate Fusion Framework for Multimodal Supervised Learning via Approximate Message Passing Nature Reviews Genetics , volume=

Reference 3

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Observation 146a4038-05b9-4dd6-b9c6-ca0b682d12b1 · outbound

This paper cites The Annals of Probability , volume =.

DAIF: A Data-Driven Intermediate Fusion Framework for Multimodal Supervised Learning via Approximate Message Passing The Annals of Probability , volume =

Reference 4

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Observation 6465aa41-a350-4336-8ab8-9ebd1f0ad35e · outbound

This paper cites Statistica Sinica , volume =.

DAIF: A Data-Driven Intermediate Fusion Framework for Multimodal Supervised Learning via Approximate Message Passing Statistica Sinica , volume =

Reference 5

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Observation 098fa7f3-1b23-4575-8e1f-e66591a26100 · outbound

This paper cites 2017 , journal=.

DAIF: A Data-Driven Intermediate Fusion Framework for Multimodal Supervised Learning via Approximate Message Passing 2017 , journal=

Reference 6

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Observation e700a543-0ee7-402c-942b-65977b356edb · outbound

This paper cites Comprehensive Integration of Single-Cell Data.

DAIF: A Data-Driven Intermediate Fusion Framework for Multimodal Supervised Learning via Approximate Message Passing Comprehensive Integration of Single-Cell Data

Reference 7

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Observation f51ccfd6-f74c-4f15-90de-b40f82f86d76 · outbound

This paper cites Mauck and Shiwei Zheng and Andrew Butler and Maddie J.

DAIF: A Data-Driven Intermediate Fusion Framework for Multimodal Supervised Learning via Approximate Message Passing Mauck and Shiwei Zheng and Andrew Butler and Maddie J

Reference 8

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Observation 3dd59b3a-6605-4d22-b318-de15d173a4d4 · outbound

This paper cites IEEE Transactions on Information Theory , volume =.

DAIF: A Data-Driven Intermediate Fusion Framework for Multimodal Supervised Learning via Approximate Message Passing IEEE Transactions on Information Theory , volume =

Reference 9

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Observation 1dc8ca1e-f549-486e-86fa-d9979f4300e5 · outbound

This paper cites , title =.

DAIF: A Data-Driven Intermediate Fusion Framework for Multimodal Supervised Learning via Approximate Message Passing , title =

Reference 10

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Observation 4b6fdefc-2413-4411-bf23-85b485ab6239 · outbound

This paper cites Integrated analysis of multimodal single-cell data with structural similarity.

DAIF: A Data-Driven Intermediate Fusion Framework for Multimodal Supervised Learning via Approximate Message Passing Integrated analysis of multimodal single-cell data with structural similarity

Reference 11

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Observation f9c08003-4d68-4280-af62-cf71d8c74c42 · outbound

This paper cites Nature biotechnology , volume=.

DAIF: A Data-Driven Intermediate Fusion Framework for Multimodal Supervised Learning via Approximate Message Passing Nature biotechnology , volume=

Reference 12

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Observation 37a59407-123c-4874-b1a7-ae1aaa6bcf88 · outbound

This paper cites Liu , title =.

DAIF: A Data-Driven Intermediate Fusion Framework for Multimodal Supervised Learning via Approximate Message Passing Liu , title =

Reference 13

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Observation 9a0e801b-fff7-433a-9208-6ca0b6129e8e · outbound

This paper cites The Annals of Statistics , volume =.

DAIF: A Data-Driven Intermediate Fusion Framework for Multimodal Supervised Learning via Approximate Message Passing The Annals of Statistics , volume =

Reference 14

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Observation 75d71c96-e33a-48b5-9129-761950b69f9c · outbound

This paper cites Journal of the American Statistical Association , volume=.

DAIF: A Data-Driven Intermediate Fusion Framework for Multimodal Supervised Learning via Approximate Message Passing Journal of the American Statistical Association , volume=

Reference 15

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Observation d3dbdf26-3a1a-4a79-87fc-4a11c3887405 · outbound

This paper cites The Annals of Statistics , number =.

DAIF: A Data-Driven Intermediate Fusion Framework for Multimodal Supervised Learning via Approximate Message Passing The Annals of Statistics , number =

Reference 16

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Observation a57c73ae-8a14-4209-87c8-643d0407ca71 · outbound

This paper cites an unresolved cited work.

DAIF: A Data-Driven Intermediate Fusion Framework for Multimodal Supervised Learning via Approximate Message Passing Unresolved cited work

Reference 17

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Observation 00ea3bb9-507b-4c93-864f-10b497ad4f36 · outbound

This paper cites Molecular psychiatry , volume=.

DAIF: A Data-Driven Intermediate Fusion Framework for Multimodal Supervised Learning via Approximate Message Passing Molecular psychiatry , volume=

Reference 18

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Observation a7b264c4-a75b-41dc-bd5c-da6f14ed2524 · outbound

This paper cites A kernel statistical test of independence , year =.

DAIF: A Data-Driven Intermediate Fusion Framework for Multimodal Supervised Learning via Approximate Message Passing A kernel statistical test of independence , year =

Reference 19

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Observation 7949eddc-cf8c-4aa7-8c41-814466b39721 · outbound

This paper cites Systems biology in cardiovascular disease: a multiomics approach.

DAIF: A Data-Driven Intermediate Fusion Framework for Multimodal Supervised Learning via Approximate Message Passing Systems biology in cardiovascular disease: a multiomics approach

Reference 20

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Observation 66f52936-e7b3-43f4-86e2-fd1cbb010523 · outbound

This paper cites Flexynesis: A deep learning toolkit for bulk multi-omics data integration for precision oncology and beyond , volume =.

DAIF: A Data-Driven Intermediate Fusion Framework for Multimodal Supervised Learning via Approximate Message Passing Flexynesis: A deep learning toolkit for bulk multi-omics data integration for precision oncology and beyond , volume =

Reference 21

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Observation 801d1184-98d5-486a-b242-27e4cdeabb7b · outbound

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DAIF: A Data-Driven Intermediate Fusion Framework for Multimodal Supervised Learning via Approximate Message Passing and Stegle, Oliver , title =

Reference 22

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Observation 4245e6b5-795e-4318-ba95-e9782a870d2b · outbound

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DAIF: A Data-Driven Intermediate Fusion Framework for Multimodal Supervised Learning via Approximate Message Passing The Annals of Applied Statistics , volume=

Reference 23

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Observation a72cf5d5-39d1-42af-8763-dd863d5200c8 · outbound

This paper cites Computational Statistics & Data Analysis , volume=.

DAIF: A Data-Driven Intermediate Fusion Framework for Multimodal Supervised Learning via Approximate Message Passing Computational Statistics & Data Analysis , volume=

Reference 24

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Observation 130b3914-3c26-482b-a3f9-43a56a5962bb · outbound

This paper cites 2020 , volume =.

DAIF: A Data-Driven Intermediate Fusion Framework for Multimodal Supervised Learning via Approximate Message Passing 2020 , volume =

Reference 25

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Observation fa0f8759-4649-4494-860c-0f4d02f0f189 · outbound

This paper cites International conference on machine learning , pages=.

DAIF: A Data-Driven Intermediate Fusion Framework for Multimodal Supervised Learning via Approximate Message Passing International conference on machine learning , pages=

Reference 26

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Observation 6d5a1154-f3c7-405f-bd47-6182642f1612 · outbound

This paper cites and Zheng, Shiwei and Butler, Andrew and Lee, Maddie J.

DAIF: A Data-Driven Intermediate Fusion Framework for Multimodal Supervised Learning via Approximate Message Passing and Zheng, Shiwei and Butler, Andrew and Lee, Maddie J

Reference 27

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Observation b0f29b25-9d74-45c0-99b4-7534afaeb574 · outbound

This paper cites Biometrics , volume =.

DAIF: A Data-Driven Intermediate Fusion Framework for Multimodal Supervised Learning via Approximate Message Passing Biometrics , volume =

Reference 28

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Observation d5e0d8cc-991b-473d-8972-b96facf00784 · outbound

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DAIF: A Data-Driven Intermediate Fusion Framework for Multimodal Supervised Learning via Approximate Message Passing Journal of multivariate analysis , volume=

Reference 29

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Observation 08cbcc41-2c91-442b-a795-79986c842d77 · outbound

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DAIF: A Data-Driven Intermediate Fusion Framework for Multimodal Supervised Learning via Approximate Message Passing Bayesian Joint Additive Factor Models for Multiview Learning , journal =

Reference 30

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Observation d843c7d4-d49d-435a-8f4c-9e5301e7182e · outbound

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DAIF: A Data-Driven Intermediate Fusion Framework for Multimodal Supervised Learning via Approximate Message Passing eLife , publisher =

Reference 31

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Observation 04b12a3c-4d20-4503-a3d2-2c2061598b27 · outbound

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DAIF: A Data-Driven Intermediate Fusion Framework for Multimodal Supervised Learning via Approximate Message Passing Biometrika , volume=

Reference 32

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Observation 402b9e0f-1095-42a3-8fcb-e73d342ad5df · outbound

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DAIF: A Data-Driven Intermediate Fusion Framework for Multimodal Supervised Learning via Approximate Message Passing Advances in Neural Information Processing Systems (NeurIPS) , year =

Reference 33

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Observation 4e64cb9b-4e32-4d8e-af7f-8e47daa6a4a6 · outbound

This paper cites The Annals of Mathematical Statistics , volume =.

DAIF: A Data-Driven Intermediate Fusion Framework for Multimodal Supervised Learning via Approximate Message Passing The Annals of Mathematical Statistics , volume =

Reference 34

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Observation cd4fa5b1-371a-4933-91d5-d25837b183b8 · outbound

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DAIF: A Data-Driven Intermediate Fusion Framework for Multimodal Supervised Learning via Approximate Message Passing Journal of Machine Learning Research , volume=

Reference 35

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Observation 40a2a286-d925-4455-a632-a773542d9e29 · outbound

This paper cites Nature Biotechnology , volume =.

DAIF: A Data-Driven Intermediate Fusion Framework for Multimodal Supervised Learning via Approximate Message Passing Nature Biotechnology , volume =

Reference 36

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Observation ae972582-4532-484a-8fb3-f5c7d3346056 · outbound

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DAIF: A Data-Driven Intermediate Fusion Framework for Multimodal Supervised Learning via Approximate Message Passing Conference on Learning Theory , pages=

Reference 37

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Observation a62898f3-ac7a-438e-8201-7b7311218540 · outbound

This paper cites Generalizing Variational Autoencoders with Hierarchical Empirical Bayes.

DAIF: A Data-Driven Intermediate Fusion Framework for Multimodal Supervised Learning via Approximate Message Passing Generalizing Variational Autoencoders with Hierarchical Empirical Bayes

Reference 38

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local_arxiv, observed 2026-08-15T15:06:10.033807Z

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Observation b693d8e7-2fd4-4a2b-821b-ea50b3ba4564 · outbound

This paper cites Journal of Machine Learning Research , volume=.

DAIF: A Data-Driven Intermediate Fusion Framework for Multimodal Supervised Learning via Approximate Message Passing Journal of Machine Learning Research , volume=

Reference 39

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source=arxiv_source observed=2026-08-15T15:06:08.641353Z digest=sha256:4adc4e01dbe2501e7fe403dac4a49e60e46b6f1dcc8170a7153b9d9e37e2f897

Observation 1c5088c2-6606-479f-9cd1-32734c83988c · outbound

This paper cites International Conference on Learning Representations , year =.

DAIF: A Data-Driven Intermediate Fusion Framework for Multimodal Supervised Learning via Approximate Message Passing International Conference on Learning Representations , year =

Reference 40

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source=arxiv_source observed=2026-08-15T15:06:08.645746Z digest=sha256:70d543ab3077366dbef98d70be2291f02adec5c2fbc8c3e32982456667e2f656

Observation cd4a9091-f23c-4985-bd8d-9a89b2ba29df · outbound

This paper cites Solving Empirical Bayes via Transformers.

DAIF: A Data-Driven Intermediate Fusion Framework for Multimodal Supervised Learning via Approximate Message Passing Solving Empirical Bayes via Transformers

Reference 41

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source=arxiv_source observed=2026-08-15T15:06:08.651194Z digest=sha256:20ec7c02770274147e3b07a4b81aebd37a928bc4d2d3d3975052903dc9b715db

Observation 045b81d9-58c1-4aee-9a94-92f59506ac91 · outbound

This paper cites Stein's Unbiased Risk Estimate and Hyv.

DAIF: A Data-Driven Intermediate Fusion Framework for Multimodal Supervised Learning via Approximate Message Passing Stein's Unbiased Risk Estimate and Hyv

Reference 42

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source=arxiv_source observed=2026-08-15T15:06:08.656328Z digest=sha256:98acd60a18bda02231b32950808033cb608313fe8282c640fd2ee0e1fbf1e3af

Observation 36e33b75-1ed3-4fa7-8afb-57e92296bc17 · outbound

This paper cites Nature Communications , volume =.

DAIF: A Data-Driven Intermediate Fusion Framework for Multimodal Supervised Learning via Approximate Message Passing Nature Communications , volume =

Reference 43

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no resolver link, observed 2026-08-15T15:06:08.660936Z

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source=arxiv_source observed=2026-08-15T15:06:08.660936Z digest=sha256:a80c3e50b8a4321ffd7aa56ad6dd41ccc9bc705ad25ba7040e36c6ec455c01a1

Observation 15a41962-c4c5-473a-9110-36c8b192acb0 · outbound

This paper cites Integration and Querying of Multimodal Single-Cell Data with PoE-VAE.

DAIF: A Data-Driven Intermediate Fusion Framework for Multimodal Supervised Learning via Approximate Message Passing Integration and Querying of Multimodal Single-Cell Data with PoE-VAE

Reference 44

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source=arxiv_source observed=2026-08-15T15:06:08.665827Z digest=sha256:5d3b8fab76eb13440129871bcab60ce4751f82e47f4aa6a7d3e16a8266896c51

Observation 2fea13b2-2818-4768-ad95-a99a1aa67b72 · outbound

This paper cites Journal of the Royal Statistical Society Series B: Statistical Methodology , volume =.

DAIF: A Data-Driven Intermediate Fusion Framework for Multimodal Supervised Learning via Approximate Message Passing Journal of the Royal Statistical Society Series B: Statistical Methodology , volume =

Reference 45

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no resolver link, observed 2026-08-15T15:06:08.670652Z

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source=arxiv_source observed=2026-08-15T15:06:08.670652Z digest=sha256:c5133d47ae3d956282bc5c17ed15e4a8518422907f25609174b975069972f200

Observation 0f238379-d9d4-4026-a600-511403e87aaf · outbound

This paper cites Proceedings of the 13th annual ACM international conference on Multimedia , pages=.

DAIF: A Data-Driven Intermediate Fusion Framework for Multimodal Supervised Learning via Approximate Message Passing Proceedings of the 13th annual ACM international conference on Multimedia , pages=

Reference 46

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source=arxiv_source observed=2026-08-15T15:06:08.675225Z digest=sha256:6178a1597d8be1d0d5d820c85d660f9801343db3fa91c2226220f817ac8844b9

Observation 0a9de275-02d8-4eec-9c3e-b86cd076a4ef · outbound

This paper cites and Craft, Brian and Hastie, Mim and Repe.

DAIF: A Data-Driven Intermediate Fusion Framework for Multimodal Supervised Learning via Approximate Message Passing and Craft, Brian and Hastie, Mim and Repe

Reference 47

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no resolver link, observed 2026-08-15T15:06:08.679970Z

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source=arxiv_source observed=2026-08-15T15:06:08.679970Z digest=sha256:007977716d11aa4f1da7de7f366fd67effbc727a552192611fec417d04f12173

Observation 19cf62e3-2307-49ed-974d-a83e7e167009 · outbound

This paper cites Nature , number =.

DAIF: A Data-Driven Intermediate Fusion Framework for Multimodal Supervised Learning via Approximate Message Passing Nature , number =

Reference 48

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no resolver link, observed 2026-08-15T15:06:08.684220Z

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source=arxiv_source observed=2026-08-15T15:06:08.684220Z digest=sha256:2531a3ba01a54f42149c8656e4626ae64daa1f15fe3fbfd0c042ba4f7a44475d

Observation 980cec2a-8673-413c-ad57-81a7975f5349 · outbound

This paper cites Simultaneous epitope and transcriptome measurement in single cells , volume =.

DAIF: A Data-Driven Intermediate Fusion Framework for Multimodal Supervised Learning via Approximate Message Passing Simultaneous epitope and transcriptome measurement in single cells , volume =

Reference 49

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source=arxiv_source observed=2026-08-15T15:06:08.691495Z digest=sha256:ada72992768014fda238a391da72f22a323ab91542f2dabc6944c9928453f85c

Observation ab869e3c-0681-4183-83a1-91d3aec5aa83 · outbound

This paper cites an unresolved cited work.

DAIF: A Data-Driven Intermediate Fusion Framework for Multimodal Supervised Learning via Approximate Message Passing Unresolved cited work

Reference 50

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source=arxiv_source observed=2026-08-15T15:06:08.696030Z digest=sha256:00dfbaababb3f6d448a81bdadc90139f6354a0121ea5aa42f77380f5cfd240ad

Observation df1f155f-172f-4438-8aba-ce24b0853c03 · outbound

This paper cites and Lareau, Caleb A.

DAIF: A Data-Driven Intermediate Fusion Framework for Multimodal Supervised Learning via Approximate Message Passing and Lareau, Caleb A

Reference 51

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source=arxiv_source observed=2026-08-15T15:06:08.701411Z digest=sha256:229b8d12b3ba155738843966d9281fab729b7d396f42048ea785ea54ccb9e483

Observation d91334a1-b0d7-4a75-b49b-054a501d6838 · outbound

This paper cites Advances in neural information processing systems , volume=.

DAIF: A Data-Driven Intermediate Fusion Framework for Multimodal Supervised Learning via Approximate Message Passing Advances in neural information processing systems , volume=

Reference 52

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source=arxiv_source observed=2026-08-15T15:06:08.707067Z digest=sha256:e7d119bf24be7cf934163c8435360829fbcd34b0b6ee84cea6ef05abe1eb20ed

Observation 99ff2dc2-9599-4c59-84f8-79fcb270cb12 · outbound

This paper cites Meta Fusion: A Unified Framework For Multimodality Fusion with Mutual Learning.

DAIF: A Data-Driven Intermediate Fusion Framework for Multimodal Supervised Learning via Approximate Message Passing Meta Fusion: A Unified Framework For Multimodality Fusion with Mutual Learning

Reference 53

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metadata mismatch
local_arxiv, observed 2026-08-15T15:06:09.985105Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-15T15:06:08.713044Z digest=sha256:1328fbc2f54c44444ef5af195013df3ff143c91d1550194fba2b387b6c2ff66e

Observation 23c5fe40-0a51-4537-a704-fa7fc8730691 · outbound

This paper cites Advances in neural information processing systems , volume=.

DAIF: A Data-Driven Intermediate Fusion Framework for Multimodal Supervised Learning via Approximate Message Passing Advances in neural information processing systems , volume=

Reference 54

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no resolver link, observed 2026-08-15T15:06:08.717990Z

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source=arxiv_source observed=2026-08-15T15:06:08.717990Z digest=sha256:c6f4308faacd3d15603e6bfcb0224c6f7a984c205f996d0a66c894650830d370

Observation e4d3496d-dc5c-4a3d-9dac-4ce574a99cbe · outbound

This paper cites The Journal of Machine Learning Research , volume=.

DAIF: A Data-Driven Intermediate Fusion Framework for Multimodal Supervised Learning via Approximate Message Passing The Journal of Machine Learning Research , volume=

Reference 55

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no resolver link, observed 2026-08-15T15:06:08.722583Z

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source=arxiv_source observed=2026-08-15T15:06:08.722583Z digest=sha256:64749aa98c8a1706e4babc73bb83cc8425c5021d307b79cb3b3c41154a007766

Observation e75fbab5-885a-4bf8-8ac1-d4e5a6fd38cf · outbound

This paper cites CoCA: Cooperative Component Analysis.

DAIF: A Data-Driven Intermediate Fusion Framework for Multimodal Supervised Learning via Approximate Message Passing CoCA: Cooperative Component Analysis

Reference 56

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metadata mismatch
local_arxiv, observed 2026-08-15T15:06:09.955388Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-15T15:06:08.726847Z digest=sha256:1471927bdf312ff00de5207ccb907ca83928ec9d933b234b1edf6c4daaa09c12

Observation 51b5d99c-5013-48bb-a5d6-5e283589d276 · outbound

This paper cites The University of Kansas Science Bulletin , volume =.

DAIF: A Data-Driven Intermediate Fusion Framework for Multimodal Supervised Learning via Approximate Message Passing The University of Kansas Science Bulletin , volume =

Reference 57

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verified fuzzy
raw_fallback, observed 2026-08-15T15:06:11.267176Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-15T15:06:08.732499Z digest=sha256:c80c38c30b839b94b1dc445b1b79997450108a59858b7c3c078ce47e4d52e365

Observation 95ddec14-be84-4367-9fc1-c27e4483f57f · outbound

This paper cites Biometrika , volume =.

DAIF: A Data-Driven Intermediate Fusion Framework for Multimodal Supervised Learning via Approximate Message Passing Biometrika , volume =

Reference 58

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verified fuzzy
raw_fallback, observed 2026-08-15T15:06:11.245507Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-15T15:06:08.738208Z digest=sha256:e6bd5215621a32ede736f82c4661e697b4bf67cb7097e3c518eabb5899915bdd

Observation 0a0169b9-df0a-47a1-b542-31028af6c1c5 · outbound

This paper cites Biometrics , volume=.

DAIF: A Data-Driven Intermediate Fusion Framework for Multimodal Supervised Learning via Approximate Message Passing Biometrics , volume=

Reference 59

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no resolver link, observed 2026-08-15T15:06:08.744663Z

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source=arxiv_source observed=2026-08-15T15:06:08.744663Z digest=sha256:6639b631984c07d4d2399f6d68166823062140d9e649c10630aa9d7cabc78505

Observation 0514509c-44da-48b1-a411-1e314d6c8e4b · outbound

This paper cites Multi-modal contrastive learning adapts to intrinsic dimensions of shared latent variables.

DAIF: A Data-Driven Intermediate Fusion Framework for Multimodal Supervised Learning via Approximate Message Passing Multi-modal contrastive learning adapts to intrinsic dimensions of shared latent variables

Reference 60

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source=arxiv_source observed=2026-08-15T15:06:08.750038Z digest=sha256:2fcd29f0219a0af74bbb78348ac1aee23ef7c5ed5953ecd1089241c704b955a5

Observation 7a1f12ec-3f7e-4e48-893e-46a91245f2b5 · outbound

This paper cites Multi-omics single-cell data integration and regulatory inference with graph-linked embedding , url =.

DAIF: A Data-Driven Intermediate Fusion Framework for Multimodal Supervised Learning via Approximate Message Passing Multi-omics single-cell data integration and regulatory inference with graph-linked embedding , url =

Reference 61

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source=arxiv_source observed=2026-08-15T15:06:08.754994Z digest=sha256:3cfcaebeaae7e257367fd3fb16958ada9787b4f24c37a703e26c2b54bedf9177

Observation 21ce404b-55ea-4a69-9629-d97863405e99 · outbound

This paper cites and Lin, Kevin Z.

DAIF: A Data-Driven Intermediate Fusion Framework for Multimodal Supervised Learning via Approximate Message Passing and Lin, Kevin Z

Reference 62

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verified exact
doi, observed 2026-08-15T15:06:09.370065Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-15T15:06:08.760258Z digest=sha256:bfea6135ef77980a102f003ac465f2efc60f43434499da26b7ded28f5de4bef4

Observation e6e64ba6-a212-454a-bd4f-e46f542fa1b0 · outbound

This paper cites arXiv preprint arXiv:2406.00778 , year=.

DAIF: A Data-Driven Intermediate Fusion Framework for Multimodal Supervised Learning via Approximate Message Passing arXiv preprint arXiv:2406.00778 , year=

Reference 63

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no resolver link, observed 2026-08-15T15:06:08.766650Z

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source=arxiv_source observed=2026-08-15T15:06:08.766650Z digest=sha256:af9be23b14c9be590ab91925e80ea99e2ccf7e3c354ca6ff7d3d2e12764671b3

Observation 1179bc78-3a90-4461-a355-db92ecf1b7f7 · outbound

This paper cites Psychometrika , volume =.

DAIF: A Data-Driven Intermediate Fusion Framework for Multimodal Supervised Learning via Approximate Message Passing Psychometrika , volume =

Reference 64

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verified fuzzy
raw_fallback, observed 2026-08-15T15:06:11.210466Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-15T15:06:08.774115Z digest=sha256:40ca829e8756ea47cf1953252442f52bcf3653af2e5b0a31ecffa40886b3de6c

Observation 69ef1412-899f-4aa6-a77f-54e29c31857e · outbound

This paper cites and Hossein‐Zadeh, G.

DAIF: A Data-Driven Intermediate Fusion Framework for Multimodal Supervised Learning via Approximate Message Passing and Hossein‐Zadeh, G

Reference 65

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verified fuzzy
raw_fallback, observed 2026-08-15T15:06:11.186060Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-15T15:06:08.779816Z digest=sha256:8da0eb013fd4aa38258c1b0938e6f3839bccc0e2d15d968d7c6ba34b04d7220e

Observation f566d2d8-71c0-4f36-807e-5f5c555d79a5 · outbound

This paper cites , title =.

DAIF: A Data-Driven Intermediate Fusion Framework for Multimodal Supervised Learning via Approximate Message Passing , title =

Reference 66

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raw_fallback, observed 2026-08-15T15:06:11.159869Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-15T15:06:08.784627Z digest=sha256:3881d946970c2a92e5343a36e5959b6bc9045e45c861d95d2a0da08ea5f797a4

Observation c3704634-abc1-4b79-a360-93a37dd80c4d · outbound

This paper cites Food Quality and Preference , volume =.

DAIF: A Data-Driven Intermediate Fusion Framework for Multimodal Supervised Learning via Approximate Message Passing Food Quality and Preference , volume =

Reference 67

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verified fuzzy
raw_fallback, observed 2026-08-15T15:06:11.137765Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-15T15:06:08.789959Z digest=sha256:1c074fa974a2d640ae209aa22f99b4341f059806c3ca4d02c9d33e7ddb6f4602

Observation 044b4316-e857-4b73-9d2b-d3c549da376a · outbound

This paper cites Representation Learning with Contrastive Predictive Coding.

DAIF: A Data-Driven Intermediate Fusion Framework for Multimodal Supervised Learning via Approximate Message Passing Representation Learning with Contrastive Predictive Coding

Reference 68

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source=arxiv_source observed=2026-08-15T15:06:08.794552Z digest=sha256:0947d30c4d47b698f083674f48ef8ebadc3c31dfe1d28a7a27e605926b115d67

Observation 031f3c09-3f59-4fcc-b97e-edaef9361044 · outbound

This paper cites Proceedings of the 35th International Conference on Machine Learning , series =.

DAIF: A Data-Driven Intermediate Fusion Framework for Multimodal Supervised Learning via Approximate Message Passing Proceedings of the 35th International Conference on Machine Learning , series =

Reference 69

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raw_fallback, observed 2026-08-15T15:06:11.111039Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-15T15:06:08.800548Z digest=sha256:b8e85ef94e3be29519bbb01487e965dfc6d2ba9ee07bf0ccae1b26883574cb6d

Observation d9d835fb-8afc-431f-a1dd-d56536cf7a70 · outbound

This paper cites The Annals of Statistics , number =.

DAIF: A Data-Driven Intermediate Fusion Framework for Multimodal Supervised Learning via Approximate Message Passing The Annals of Statistics , number =

Reference 70

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source=arxiv_source observed=2026-08-15T15:06:08.805508Z digest=sha256:130670f58dbb52a3aadc210e6d03f0b2e35c3a2d40c28a295abdf9c953b528ec

Observation 0146fcc8-eed9-4d83-9359-82cc4f852f32 · outbound

This paper cites and Måge, Inger and Næs, Tormod and Hankemeier, Tom and Lips, Marjan and Kiers, Henk A.

DAIF: A Data-Driven Intermediate Fusion Framework for Multimodal Supervised Learning via Approximate Message Passing and Måge, Inger and Næs, Tormod and Hankemeier, Tom and Lips, Marjan and Kiers, Henk A

Reference 71

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verified fuzzy
raw_fallback, observed 2026-08-15T15:06:11.076314Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-15T15:06:08.810801Z digest=sha256:02cd6dc8df2fbbd0ffb16482f85aab36299497750d8bbcb726cb555de6c59fc9

Observation 12aab754-8143-4914-97bb-73675a6bf6f3 · outbound

This paper cites and Van Mechelen, Iven , title =.

DAIF: A Data-Driven Intermediate Fusion Framework for Multimodal Supervised Learning via Approximate Message Passing and Van Mechelen, Iven , title =

Reference 72

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verified fuzzy
raw_fallback, observed 2026-08-15T15:06:11.057130Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-15T15:06:08.815659Z digest=sha256:c2b7d1c5abadf5e9bff70c4075c23309bac92a029e31a480ef710cbce025a9f7

Observation e0fe621b-10b1-4708-85c7-ec2193888897 · outbound

This paper cites and Kourti, Theodora and MacGregor, J.

DAIF: A Data-Driven Intermediate Fusion Framework for Multimodal Supervised Learning via Approximate Message Passing and Kourti, Theodora and MacGregor, J

Reference 73

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verified fuzzy
raw_fallback, observed 2026-08-15T15:06:11.038125Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-15T15:06:08.820914Z digest=sha256:b0a92b2f1569a99cc427e603cc43306f30004032008491d9d528cdae0b8af249

Observation 6f3bf583-b4f2-44b9-a462-439631958e1a · outbound

This paper cites 2004 , isbn =.

DAIF: A Data-Driven Intermediate Fusion Framework for Multimodal Supervised Learning via Approximate Message Passing 2004 , isbn =

Reference 74

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verified fuzzy
raw_fallback, observed 2026-08-15T15:06:11.019518Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-15T15:06:08.826111Z digest=sha256:4651331a2f028768c59f8b10790f866710e36444e2190f503498c988f2d12fca

Observation e31deaa0-d0ef-4b68-9d21-0dcfe09b218f · outbound

This paper cites Estimating shared subspace with AJIVE: the power and limitation of multiple data matrices.

DAIF: A Data-Driven Intermediate Fusion Framework for Multimodal Supervised Learning via Approximate Message Passing Estimating shared subspace with AJIVE: the power and limitation of multiple data matrices

Reference 75

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no resolver link, observed 2026-08-15T15:06:08.831733Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T15:06:08.831733Z digest=sha256:851dcfc0111aaf3d009e4a15180f6cd6835fb8bfc7df1098ce15683abcd4c766

Observation 6c5bf2e1-92d5-49e2-935a-4e5f9d3f8b51 · outbound

This paper cites Stacked SVD or SVD stacked? A Random Matrix Theory perspective on data integration.

DAIF: A Data-Driven Intermediate Fusion Framework for Multimodal Supervised Learning via Approximate Message Passing Stacked SVD or SVD stacked? A Random Matrix Theory perspective on data integration

Reference 76

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no resolver link, observed 2026-08-15T15:06:08.837085Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T15:06:08.837085Z digest=sha256:c810ed748aca567d43b4717ae2f137c7de5404919945ba7c07af1f7cfb428459

Observation 79cfdd5d-47cc-455a-8614-ca811a2dc5ad · outbound

This paper cites Optimal Estimation of Shared Singular Subspaces Across Multiple Noisy Matrices , year=.

DAIF: A Data-Driven Intermediate Fusion Framework for Multimodal Supervised Learning via Approximate Message Passing Optimal Estimation of Shared Singular Subspaces Across Multiple Noisy Matrices , year=

Reference 77

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verified fuzzy
raw_fallback, observed 2026-08-15T15:06:10.996907Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-15T15:06:08.842847Z digest=sha256:9e4fdb0be38628134454b580cb0bf3b99e9deaae43a6d86efe6fcc3c06b8754b

Observation 235fb17c-65a8-4c05-a08e-9512186f0909 · outbound

This paper cites Multi-modal contrastive learning adapts to intrinsic dimensions of shared latent variables , volume =.

DAIF: A Data-Driven Intermediate Fusion Framework for Multimodal Supervised Learning via Approximate Message Passing Multi-modal contrastive learning adapts to intrinsic dimensions of shared latent variables , volume =

Reference 78

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verified fuzzy
raw_fallback, observed 2026-08-15T15:06:10.979290Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-15T15:06:08.849245Z digest=sha256:2cb4eb49574be73e5c05333f62530b959b7af00e30720e925a51fc219737fa47

Observation 2cd90d12-a5c9-41b5-a136-a90cb006804a · outbound

This paper cites an unresolved cited work.

DAIF: A Data-Driven Intermediate Fusion Framework for Multimodal Supervised Learning via Approximate Message Passing Unresolved cited work

Reference 79

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raw_fallback, observed 2026-08-15T15:06:10.959700Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-15T15:06:08.856234Z digest=sha256:d4488960637004694f26df837f0df0572c8b30fb5379ddc47d986c87aadbb66d

Observation 0b42f3f8-bda1-457d-bcfe-6c46ed841d32 · outbound

This paper cites Proceedings of the National Academy of Sciences , volume=.

DAIF: A Data-Driven Intermediate Fusion Framework for Multimodal Supervised Learning via Approximate Message Passing Proceedings of the National Academy of Sciences , volume=

Reference 80

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unresolved
no resolver link, observed 2026-08-15T15:06:08.864560Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T15:06:08.864560Z digest=sha256:43becd8991341218a4423e9381e58405ab73cb939debdf81e9979c6e72e06389

Observation 4920fab0-e80d-4c44-9070-98e29fc0278e · outbound

This paper cites The Annals of Statistics , volume =.

DAIF: A Data-Driven Intermediate Fusion Framework for Multimodal Supervised Learning via Approximate Message Passing The Annals of Statistics , volume =

Reference 81

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verified fuzzy
raw_fallback, observed 2026-08-15T15:06:10.930789Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-15T15:06:08.875715Z digest=sha256:2b834d3451ddee821ec38676a41ded43dd8c6063580a0c243e5abf886940d47b

Observation f8bbb83b-315e-490a-8343-ffbe81380c09 · outbound

This paper cites an unresolved cited work.

DAIF: A Data-Driven Intermediate Fusion Framework for Multimodal Supervised Learning via Approximate Message Passing Unresolved cited work

Reference 82

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unresolved
raw_fallback, observed 2026-08-15T15:06:10.913594Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-15T15:06:08.882188Z digest=sha256:78a9dcc4f7de5a6242e4628bc42a2037eb3c6793a73f0eabbbbc01a1cea84fe3

Observation f788db85-1be9-4fc9-ac2d-842fddd7cd1e · outbound

This paper cites Fundamental limits of low-rank matrix estimation: the non-symmetric case.

DAIF: A Data-Driven Intermediate Fusion Framework for Multimodal Supervised Learning via Approximate Message Passing Fundamental limits of low-rank matrix estimation: the non-symmetric case

Reference 83

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unresolved
no resolver link, observed 2026-08-15T15:06:08.887078Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T15:06:08.887078Z digest=sha256:1eb72a713244786b6269b8b057e9737791a44a344a122f19b227a18fedd37585

Observation 171e4d5b-49d9-49fb-8e2e-f9e302cbbbf4 · outbound

This paper cites , title =.

DAIF: A Data-Driven Intermediate Fusion Framework for Multimodal Supervised Learning via Approximate Message Passing , title =

Reference 84

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-15T15:06:08.891562Z digest=sha256:a547e74b376c13d017db261b17ec2a90f6e1a11a60fdf2fb9646376ae54ade5a

Observation 7f5cd0e8-088f-4bd0-b458-c8445f631b19 · outbound

This paper cites Journal of the American Statistical Association , volume =.

DAIF: A Data-Driven Intermediate Fusion Framework for Multimodal Supervised Learning via Approximate Message Passing Journal of the American Statistical Association , volume =

Reference 85

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raw_fallback, observed 2026-08-15T15:06:10.877955Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-15T15:06:08.895952Z digest=sha256:b96b87f25c035db491f2b7653f8c9fb6463a9a38f5b7c7398d01e3956627217d

Observation cf513f7c-2569-4625-a233-b3ff76197bbc · outbound

This paper cites 1996 , isbn =.

DAIF: A Data-Driven Intermediate Fusion Framework for Multimodal Supervised Learning via Approximate Message Passing 1996 , isbn =

Reference 86

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verified fuzzy
raw_fallback, observed 2026-08-15T15:06:10.861252Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-15T15:06:08.901294Z digest=sha256:03c08b1711e75e62d0e7df075c1298ab80b5825976e810db5264940bcb9f1fee

Observation 54f4403c-df5d-491c-b4d1-0e3d13d63616 · outbound

This paper cites Information and Inference: A Journal of the IMA , volume =.

DAIF: A Data-Driven Intermediate Fusion Framework for Multimodal Supervised Learning via Approximate Message Passing Information and Inference: A Journal of the IMA , volume =

Reference 87

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verified fuzzy
raw_fallback, observed 2026-08-15T15:06:10.843240Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-15T15:06:08.905761Z digest=sha256:ef95a86a80f72c340b47c1e56cdf1b31c447632fd9de61f1fb4a261e3e6dbdc7

Observation 835b2f61-2066-4e75-a92f-9a63c700567e · outbound

This paper cites Approximate Message Passing for the Matrix Tensor Product Model.

DAIF: A Data-Driven Intermediate Fusion Framework for Multimodal Supervised Learning via Approximate Message Passing Approximate Message Passing for the Matrix Tensor Product Model

Reference 88

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unresolved
no resolver link, observed 2026-08-15T15:06:08.909972Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T15:06:08.909972Z digest=sha256:4c63e5c24aa92cf137607997482b757ad67efabae9e1a932d6b320a6c0ae7314

Observation 96f9c5a0-d958-4fde-8eb9-62a1b71a7467 · outbound

This paper cites The Annals of Statistics , volume =.

DAIF: A Data-Driven Intermediate Fusion Framework for Multimodal Supervised Learning via Approximate Message Passing The Annals of Statistics , volume =

Reference 89

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verified fuzzy
raw_fallback, observed 2026-08-15T15:06:10.825975Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-15T15:06:08.915056Z digest=sha256:46cf6ad3caffcfe7159d53f4c2b9dcaa35df67187fd8406b7f0c93b4344c1b9b

Observation 0264b7bd-8b14-485f-9739-9da8ea7160ef · outbound

This paper cites 2006 , isbn =.

DAIF: A Data-Driven Intermediate Fusion Framework for Multimodal Supervised Learning via Approximate Message Passing 2006 , isbn =

Reference 90

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verified fuzzy
raw_fallback, observed 2026-08-15T15:06:10.807308Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-15T15:06:08.919653Z digest=sha256:521134739d3b446d43adeeb42757cfdb2523c9d230c9d73472132fe09909a3df

Observation 1915c49b-375a-407e-b009-c3b41d698a76 · outbound

This paper cites and Hoadley, Katherine A.

DAIF: A Data-Driven Intermediate Fusion Framework for Multimodal Supervised Learning via Approximate Message Passing and Hoadley, Katherine A

Reference 91

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T15:06:10.788931Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-15T15:06:08.924433Z digest=sha256:5338e6ab458fe6498d8988678ccf87a5c6a90e898f4a5a1f4eba5a77551172d2

Observation 972d4c49-07e8-4bcf-b2fb-18179d9c50f3 · outbound

This paper cites Measuring Association on Topological Spaces Using Kernels and Geometric Graphs.

DAIF: A Data-Driven Intermediate Fusion Framework for Multimodal Supervised Learning via Approximate Message Passing Measuring Association on Topological Spaces Using Kernels and Geometric Graphs

Reference 92

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unresolved
no resolver link, observed 2026-08-15T15:06:08.929762Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T15:06:08.929762Z digest=sha256:bf6bf15fafcff4e2267438aef456a07aa91cfce097abacdf12841fac3b8276e7

Observation 797401d9-bead-4274-8bd3-8e1ba71c677f · outbound

This paper cites Statistical Science , volume=.

DAIF: A Data-Driven Intermediate Fusion Framework for Multimodal Supervised Learning via Approximate Message Passing Statistical Science , volume=

Reference 93

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T15:06:10.768469Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-15T15:06:08.936340Z digest=sha256:a233fcbf87a27742f4339cf34be86daa02d9285884e7e6b558f1ef740018357d

Observation eba5b298-0e6b-4093-be60-37f5630b6369 · outbound

This paper cites Briefings in Bioinformatics , volume =.

DAIF: A Data-Driven Intermediate Fusion Framework for Multimodal Supervised Learning via Approximate Message Passing Briefings in Bioinformatics , volume =

Reference 94

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verified fuzzy
raw_fallback, observed 2026-08-15T15:06:10.744623Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-15T15:06:08.941913Z digest=sha256:969522577f41860140da11cad1db39f277e5b90efae391f8608858e679142c1e

Observation 99f3a484-8cf2-41c2-b53b-09ea48ec1d78 · outbound

This paper cites Proceedings of the 2022 International Conference on Management of Data (SIGMOD '22) , year =.

DAIF: A Data-Driven Intermediate Fusion Framework for Multimodal Supervised Learning via Approximate Message Passing Proceedings of the 2022 International Conference on Management of Data (SIGMOD '22) , year =

Reference 95

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verified fuzzy
raw_fallback, observed 2026-08-15T15:06:10.718712Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-15T15:06:08.948576Z digest=sha256:99e87fa5bd2d1d8235743d9112c369a10b13179923b18eb788e9560b7963c611

Observation 56cd9de8-3998-4332-ba97-1a66b65212a0 · outbound

This paper cites arXiv preprint arXiv:2407.19030 , year=.

DAIF: A Data-Driven Intermediate Fusion Framework for Multimodal Supervised Learning via Approximate Message Passing arXiv preprint arXiv:2407.19030 , year=

Reference 96

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unresolved
no resolver link, observed 2026-08-15T15:06:08.954738Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T15:06:08.954738Z digest=sha256:0b069fb1ef41678564098370a6ec3f21e67298dc17747b8f1f308895f5598572

Observation 72987399-304b-4426-9dbc-24601ee8cbde · outbound

This paper cites Information-theoretic limits of a multiview low-rank symmetric spiked matrix model , year=.

DAIF: A Data-Driven Intermediate Fusion Framework for Multimodal Supervised Learning via Approximate Message Passing Information-theoretic limits of a multiview low-rank symmetric spiked matrix model , year=

Reference 97

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T15:06:10.697249Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-15T15:06:09.125843Z digest=sha256:445f021f1f291cf5d3c2cd32d1f3abeae87217198990b8f191e40c12fa5f4713

Observation bfc75a1b-f95e-447d-a646-79f166b4c475 · outbound

This paper cites Additivity of information in multilayer networks via additive Gaussian noise transforms , year=.

DAIF: A Data-Driven Intermediate Fusion Framework for Multimodal Supervised Learning via Approximate Message Passing Additivity of information in multilayer networks via additive Gaussian noise transforms , year=

Reference 98

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verified fuzzy
raw_fallback, observed 2026-08-15T15:06:10.675808Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-15T15:06:09.130819Z digest=sha256:15932f80ff87bf3b6ad9d4a0e104bdb84fcc117814cdbcee56691216ef0cd1e9

Observation 4f4c8ca4-69f0-4ce8-b5ad-39cc41895306 · outbound

This paper cites Mutual Information in Community Detection with Covariate Information and Correlated Networks , year=.

DAIF: A Data-Driven Intermediate Fusion Framework for Multimodal Supervised Learning via Approximate Message Passing Mutual Information in Community Detection with Covariate Information and Correlated Networks , year=

Reference 99

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verified fuzzy
raw_fallback, observed 2026-08-15T15:06:10.654683Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-15T15:06:09.135417Z digest=sha256:003107d2121caf85eba5d4d8dac44a4477e5d77264cf8cf6d00cfe64e01baa09

Observation da7e4225-7608-47a1-8dce-49773183625c · outbound

This paper cites Fundamental Limits for High-Dimensional Factor Regression Models , year=.

DAIF: A Data-Driven Intermediate Fusion Framework for Multimodal Supervised Learning via Approximate Message Passing Fundamental Limits for High-Dimensional Factor Regression Models , year=

Reference 100

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verified fuzzy
raw_fallback, observed 2026-08-15T15:06:10.633817Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-15T15:06:09.139494Z digest=sha256:90cdcddef7c83e66229e49c82e3da18d9a447c099e13fbf0d5bfeec7263618e0

Pith citing papers

No inbound Pith citation observations are available.