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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=sha256:176091291240fa450a984c25286f484fc330c89d16f9d8a85f9d4b0bdaf0db82

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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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

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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

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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

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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

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

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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=sha256:96af09e684447a72ad8e517b362ccb163a876b3b625f8b1a5cedf509c0f8996f

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=sha256:8d8a0fa71751c07b77a1c155282056ba5c6de1eb249cd34112c48a527fa59e4c

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=sha256:7dc397961678f668b7c4b35ae250756c02105f75a7b0cba04997f86e86bd3559

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:f1945a284d2d686746b806dd9c3e7c19a5984c89632c553562acae2e73ab53a1

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=sha256:1531aee210f8ad145269c9f5ed38c2fee67d8f75694bc371ef93f6d7439f6883

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=sha256:8bb3bccbdf1a58b6ae3d5e6977ef566dc80976b96e235e2a4ea6bc765ec93837

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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source=arxiv_source observed=2026-08-15T15:06:08.670652Z digest=sha256:f84bbc9f446681f7ba9dbcc993d7b1492eb8acb085735cd88694fc8abb10d4fe

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=sha256:5cb78dc01536780ab5862de5deaf0cd10782f6ec1577cd50d95406802422852f

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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source=arxiv_source observed=2026-08-15T15:06:08.679970Z digest=sha256:46b89eeec6ae01e0429bce90406e335899f4f10394bce249c528186c15b7a492

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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source=arxiv_source observed=2026-08-15T15:06:08.684220Z digest=sha256:3fe014ce1cb04987ae1b1c01ec82da0ec5ace16ec64218fc05cfdd6bd56ca03d

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=sha256:79a6a1096f84d32e8fe734bbacac7e904c059b71f1bee0c6869d923f9424f242

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=sha256:3af4bac2e06abe43a420e5772bbd4f0f4179e40987805d74f763ee614de1c98f

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=sha256:21754664715850ad14016040daf29a529b839f9f3f317a03b72c363c938308ac

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=sha256:536695735ddbe7c04cd0e2743cbc1eb39f85bb414d6b8aafc9e098501c454133

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=sha256:8292db3d9dfb824c11cf0717948a53b44e80f43c88e9a482b92dc9a8162f3c63

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:dabe2baf24bc93364d5d4c0ba69a0851a6bf6b44120ceffde1b6ac855f8b85c5

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:eef86e8aa4b89b02ad131e067b5ba59c50da74cb41b48ac097345307ba9eace8

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:c2a3100afb293da1d2ef65d12e3b66891e95c72cd333d9c5738391f1b54e7663

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=sha256:7c2da49326ad7612da08a8cc3694c1647362cf7c4af474ef7603344646767782

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:f3340482cf318e36e5ce5b98596e4ce69a3c8201f59c86e8944ce21a66b81576

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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source=arxiv_source observed=2026-08-15T15:06:08.744663Z digest=sha256:02a4c5583c160e73b7c0c0832cf113a84f9697c991e3fe5961ac62ea2dd547ed

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=sha256:9348f65fd3ade416b2ad35d7b048035b71906398a0315178d70ff4c92a0a9eac

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=sha256:9124628831ff5d7d0e579e01121eaba2d2268fd3895140b4efe85e125f09420e

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:ebf43e4faf81cf7e3c57c153e39817fd7fb206f19ab14b59133366d8ccd1acdf

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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source=arxiv_source observed=2026-08-15T15:06:08.766650Z digest=sha256:a34bdec52caec4428f236968b6eebd58bf0ec2568939069879b2b3b1dde88ebc

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=sha256:420da7af8f15d80776208551664b98a6725a2e3e8ff8fd77bac3e3b4579ffdf2

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=sha256:1035dcbed2c05799624f2bc7facc9f7bd949286504b02a04263197d42616a8f2

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:dbab5b7b9b855e953985d43ea251e323f08b5f69a38324e21c2a05b052dea4b5

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:d52724c93891d8e6877e55ce68cdf63d5f973250c9f00867741fb3b2dc128f81

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=sha256:421d47a761585f6e8a9e4f7241f564185316ac8a36c16ec2bb1d3d81af3452b3

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=sha256:17ca00cff250d37261a048999ce8c406283ee89e6cc363e31697d4eaddd1598b

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=sha256:25dd0af3bdb8a1ee2eb092845245d0d7dc9976ebe9f21314fb1249530ac38751

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=sha256:775fefd11663f24da4af6f7bcdb15cd9dc277d8655c72322f2b7371f65d386d2

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=sha256:6ea346674aad6317ece432926d6a2de5bbc33161ba949e224877bcdc650483a4

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=sha256:8f4ac5d8a76979d20f57bf7383d0a1e57657fbfcba282a6028b51bcae93e65bc

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

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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=2026-08-15T15:06:08.826111Z digest=sha256:176df5d176e283dcf914b1d97709535af20fd87419afe116a4955e879c85f93a

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=sha256:40a73ef258185cd93c61281b1d5d41e7ca4a2672c006cc2118331e2c57ec3a8f

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=sha256:206b98fb69518a4133d3b82bb97c07cd353060eff28832754b68247e9134aac6

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:ba8205d5927f7342eafdc5de6d00d1c21524cd8b18e6edf828ddecd6b9feb8b6

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:ae18269b64138e729abdea8034b31b0c9710b5f163f762afa75762d13488ad4b

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=sha256:8998c34a5bdda3d8ed26b915f287fc6fdd8d2baa8d5dcc32e3cd56cacd384ecb

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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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=sha256:00a98b135c7fd18f52d07642b23d2fde5715515697b49697c9482e6b8a3f4100

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:fad533d97019fb071e08f557224b0143295cec270616591e422606a3b56d7d57

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:f6c12f43a04612bd4529c553a3057cb4689e4252182ea8cffdc12611cc29dd5a

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:a837db2fc8504de1c9107875e87641c039257a782396258e7706a6573e66fe2f

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
raw_fallback, observed 2026-08-15T15:06:10.895300Z

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=sha256:771663f8b50d04830045efc317f62220bcb3f173634046921b59038a280fca9b

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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verified fuzzy
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=sha256:4acfc76d7f655dd55a52aa12f5b799edd1ed20f9f82962b3f43bba5c38f813f9

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=sha256:132ad3e0fb4aacab41f41a2121f3f2501945989e9fc908ee81fd9790e2feee87

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=sha256:8a498ee0120db176dc6135f27443ebb333500fee7fd494cedac93c18e6755dcd

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=sha256:2110979b508a8545832ca28692a9a56352c8ff7954370c8e8c99b0c421e4074e

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=sha256:21f89c20bb710253e8fe5f546690b3c462b7ce2cfae9b3eb4b9da792451d28d5

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=sha256:6093cb3dfd075053614dcfbd6203bafef5c421e06399d6dd6369f3f42f6b6943

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:f91f2a65b94e6d106b5f206035d2a834bdb4e286186595652583e4eb9956dc40

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=sha256:04457311ac82129f0a20f62c2032c6aaf74c88ea95ed49ca29046fd8d715e1c0

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

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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:fc1a0fdc01e2f3b8a099c6ccf4868636ced82bbb87ad5b8373b4f1831c1fdf7b

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=sha256:3684ac9d6b5703aa54b58ec6ed3229cf673a9c6110ea31da0d018427d969a86a

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=sha256:9be7fd7b85c141e9903cca7dd4835b49866147021a7051662cb3a5896a04139e

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:d7042cb394c03a58be70954b5209c86a5f1a80dfc6150ec6182c75476e523642

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=sha256:12c90d49b9ca8699616d3acbc6f38fe14ea4b8164ba1c76308a564d4e546dbc8

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:a6f6a9051082434cf9980ff7feb2fe8073a11de01264605d99230d42218db8f3

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=sha256:6a851cf86e9468734d128a2db7f5d767cfe7f80139febbc676de614da79aadd1

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=sha256:0649b2022dccf86c9d44d267da88bbae87202579a27c0d3f717c3879e1fb4cb3

Pith citing papers

No inbound Pith citation observations are available.