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Paper Citation Record · LEDGER

LEARNER: A Transfer Learning Method for Low-Rank Matrix Estimation

As of 15 August 2026, this Paper Citation Record lists 46 of 46 outbound references and 1 inbound Pith citation observation for arXiv:2412.20605.

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

pith.paper-citation-record.v1
2412.20605 v2

Coverage vector

measured 46 of 46 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T23:25:15.878079Z

measured 47 of 47 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T20:46:02.929955Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T20:46:02.977709Z

Reference resolution

46 of 46 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 63292ad0-f8bc-4ec6-9767-aa12c1ac2e6d · outbound

This paper cites Components of genetic associations across 2,138 phenotypes in the uk biobank highlight adipocyte biology.

LEARNER: A Transfer Learning Method for Low-Rank Matrix Estimation Components of genetic associations across 2,138 phenotypes in the uk biobank highlight adipocyte biology

Reference 1

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Observation 8432040a-fb61-4ac5-8007-42f63e1d6e8b · outbound

This paper cites A cross-population atlas of genetic associations for 220 human phenotypes.

LEARNER: A Transfer Learning Method for Low-Rank Matrix Estimation A cross-population atlas of genetic associations for 220 human phenotypes

Reference 2

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Observation e026bcaf-34cb-427b-ae22-9af4cfac85bc · outbound

This paper cites Low-rank plus sparse matrix decomposition for accelerated dynamic mri with separation of background and dynamic components.

LEARNER: A Transfer Learning Method for Low-Rank Matrix Estimation Low-rank plus sparse matrix decomposition for accelerated dynamic mri with separation of background and dynamic components

Reference 3

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Observation 74dc1930-1d7a-4394-bd28-e32eb46e676e · outbound

This paper cites Computational drug repositioning using low-rank matrix approximation and randomized algorithms.

LEARNER: A Transfer Learning Method for Low-Rank Matrix Estimation Computational drug repositioning using low-rank matrix approximation and randomized algorithms

Reference 4

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Source-reported events for the cited work

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Observation 640c2080-8f3b-44ea-94c0-fc2661fe66ee · outbound

This paper cites Inference of dependency knowledge graph for electronic health records.

LEARNER: A Transfer Learning Method for Low-Rank Matrix Estimation Inference of dependency knowledge graph for electronic health records

Reference 5

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Source-reported events for the cited work

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Observation c256d4f8-0deb-4971-99e3-2669380ba254 · outbound

This paper cites The approximation of one matrix by another of lower rank.

LEARNER: A Transfer Learning Method for Low-Rank Matrix Estimation The approximation of one matrix by another of lower rank

Reference 6

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Source-reported events for the cited work

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Observation 8755cb6e-9a70-4dcd-b38c-72beee500772 · outbound

This paper cites The truncated svd as a method for regularization.

LEARNER: A Transfer Learning Method for Low-Rank Matrix Estimation The truncated svd as a method for regularization

Reference 7

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Source-reported events for the cited work

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Observation 80d0f0f9-3fe3-401d-bab4-fc988b523d15 · outbound

This paper cites Principal component analysis for special types of data.

LEARNER: A Transfer Learning Method for Low-Rank Matrix Estimation Principal component analysis for special types of data

Reference 8

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Source-reported events for the cited work

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Observation 4df9d9e9-b20b-4511-8318-9c95bc2de800 · outbound

This paper cites Learning the parts of objects by non-negative matrix factorization.

LEARNER: A Transfer Learning Method for Low-Rank Matrix Estimation Learning the parts of objects by non-negative matrix factorization

Reference 9

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Source-reported events for the cited work

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Observation 40db3d41-1788-435e-a4e8-955a52abf376 · outbound

This paper cites Plaid models for gene expression data.

LEARNER: A Transfer Learning Method for Low-Rank Matrix Estimation Plaid models for gene expression data

Reference 10

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Source-reported events for the cited work

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Observation bc634377-0f8e-40e0-a4cf-9297fbc1ed9b · outbound

This paper cites Genomics, health disparities, and missed opportunities for the nation’s research agenda.

LEARNER: A Transfer Learning Method for Low-Rank Matrix Estimation Genomics, health disparities, and missed opportunities for the nation’s research agenda

Reference 11

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Source-reported events for the cited work

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Observation 469eb590-172c-41f5-8626-3b17c7f0b937 · outbound

This paper cites Current clinical use of polygenic scores will risk exacerbating health disparities.

LEARNER: A Transfer Learning Method for Low-Rank Matrix Estimation Current clinical use of polygenic scores will risk exacerbating health disparities

Reference 12

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Source-reported events for the cited work

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Observation 198c063d-e07f-4916-ac56-25845a7d5230 · outbound

This paper cites A roadmap to increase diversity in genomic studies.

LEARNER: A Transfer Learning Method for Low-Rank Matrix Estimation A roadmap to increase diversity in genomic studies

Reference 13

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Source-reported events for the cited work

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Observation d217cfcf-3b02-49ec-8ad4-c46f9a1db30d · outbound

This paper cites A survey of transfer learning.

LEARNER: A Transfer Learning Method for Low-Rank Matrix Estimation A survey of transfer learning

Reference 14

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 16ab3aeb-c4c2-4056-90dd-6357b153235b · outbound

This paper cites Deep transfer learning for reducing health care disparities arising from biomedical data inequality.

LEARNER: A Transfer Learning Method for Low-Rank Matrix Estimation Deep transfer learning for reducing health care disparities arising from biomedical data inequality

Reference 15

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Source-reported events for the cited work

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Observation 046cf956-0a69-4d84-99a2-b8f4a8e0573c · outbound

This paper cites Commute: communication-efficient transfer learning for multi-site risk prediction.

LEARNER: A Transfer Learning Method for Low-Rank Matrix Estimation Commute: communication-efficient transfer learning for multi-site risk prediction

Reference 16

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Source-reported events for the cited work

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Observation ec388aed-2f41-4801-8ac6-5d4ec602e541 · outbound

This paper cites Targeting underrepresented populations in precision medicine: A federated transfer learning approach.

LEARNER: A Transfer Learning Method for Low-Rank Matrix Estimation Targeting underrepresented populations in precision medicine: A federated transfer learning approach

Reference 17

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Source-reported events for the cited work

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Observation dfa8e842-c53f-4f45-be1c-eed7f7e33c5c · outbound

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LEARNER: A Transfer Learning Method for Low-Rank Matrix Estimation Heterogeneous component analysis

Reference 18

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Source-reported events for the cited work

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Observation c3e668c2-aa61-48b8-99b8-9075f52dd36c · outbound

This paper cites Distributed estimation of principal eigenspaces.

LEARNER: A Transfer Learning Method for Low-Rank Matrix Estimation Distributed estimation of principal eigenspaces

Reference 19

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Source-reported events for the cited work

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Observation 6ae2de03-5118-420e-8f1a-cb76a131ac50 · outbound

This paper cites Target pca: Transfer learning large dimensional panel data.

LEARNER: A Transfer Learning Method for Low-Rank Matrix Estimation Target pca: Transfer learning large dimensional panel data

Reference 20

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Source-reported events for the cited work

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Observation fa43099a-d13b-445c-8a47-cd738763843c · outbound

This paper cites Personalized pca: Decoupling shared and unique features.

LEARNER: A Transfer Learning Method for Low-Rank Matrix Estimation Personalized pca: Decoupling shared and unique features

Reference 21

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Source-reported events for the cited work

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Observation 185af620-302f-497c-8bb2-244c5fc0af00 · outbound

This paper cites Knowledge Transfer across Multiple Principal Component Analysis Studies.

LEARNER: A Transfer Learning Method for Low-Rank Matrix Estimation Knowledge Transfer across Multiple Principal Component Analysis Studies

Reference 22

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Source-reported events for the cited work

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Observation 43088fcd-bba5-47e4-8b27-0c5d69854257 · outbound

This paper cites Optimal Transfer Learning for Missing Not-at-Random Matrix Completion.

LEARNER: A Transfer Learning Method for Low-Rank Matrix Estimation Optimal Transfer Learning for Missing Not-at-Random Matrix Completion

Reference 23

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Source-reported events for the cited work

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Observation 3b5d8676-aec6-4f60-a7fb-d7ec42f57ab8 · outbound

This paper cites Group-sparse matrix factorization for transfer learning of word embeddings.

LEARNER: A Transfer Learning Method for Low-Rank Matrix Estimation Group-sparse matrix factorization for transfer learning of word embeddings

Reference 24

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Observation 17fd093c-549b-48f1-b59a-7c8967e7ffc3 · outbound

This paper cites Understanding alternating minimization for matrix completion.

LEARNER: A Transfer Learning Method for Low-Rank Matrix Estimation Understanding alternating minimization for matrix completion

Reference 25

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Source-reported events for the cited work

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Observation f81a77a3-b581-42a1-9fd8-c7074323146b · outbound

This paper cites Predicting drug-disease associations by using similarity constrained matrix factorization.

LEARNER: A Transfer Learning Method for Low-Rank Matrix Estimation Predicting drug-disease associations by using similarity constrained matrix factorization

Reference 26

Resolution
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Source-reported events for the cited work

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Observation 08e517f6-a2f0-4c71-9bb0-6457cee4ed99 · outbound

This paper cites Scmfmda: predicting microrna-disease associations based on similarity constrained matrix factorization.

LEARNER: A Transfer Learning Method for Low-Rank Matrix Estimation Scmfmda: predicting microrna-disease associations based on similarity constrained matrix factorization

Reference 27

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Observation 161629a5-daa2-4437-b514-ed712f58343c · outbound

This paper cites Nonconvex low rank matrix factorization via inexact first order oracle.

LEARNER: A Transfer Learning Method for Low-Rank Matrix Estimation Nonconvex low rank matrix factorization via inexact first order oracle

Reference 28

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Source-reported events for the cited work

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Observation 549e3d38-0891-44df-9cbd-2b890003a48b · outbound

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LEARNER: A Transfer Learning Method for Low-Rank Matrix Estimation Matrix completion has no spurious local minimum

Reference 29

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 5169770c-ff4d-4013-b0b6-a8ea60975cf4 · outbound

This paper cites No spurious local minima in nonconvex low rank problems: A unified geometric analysis.

LEARNER: A Transfer Learning Method for Low-Rank Matrix Estimation No spurious local minima in nonconvex low rank problems: A unified geometric analysis

Reference 30

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 14934739-7aae-49f9-b670-7abb8641167c · outbound

This paper cites The non-convex geometry of low-rank matrix optimization.

LEARNER: A Transfer Learning Method for Low-Rank Matrix Estimation The non-convex geometry of low-rank matrix optimization

Reference 31

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Source-reported events for the cited work

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Observation a542af1f-50b4-423f-8e10-c6405138e798 · outbound

This paper cites The bellkor solution to the netflix grand prize.

LEARNER: A Transfer Learning Method for Low-Rank Matrix Estimation The bellkor solution to the netflix grand prize

Reference 32

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Source-reported events for the cited work

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Observation 7b346c3d-35e8-4c6d-98d5-66932aa027a0 · outbound

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LEARNER: A Transfer Learning Method for Low-Rank Matrix Estimation Matrix factorization techniques for recommender systems

Reference 33

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Source-reported events for the cited work

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LEARNER: A Transfer Learning Method for Low-Rank Matrix Estimation Screenot: Exact mse-optimal singular value thresholding in correlated noise

Reference 34

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation b5587229-11f7-47ca-83d3-f634147da167 · outbound

This paper cites Overview of the biobank japan project: Study design and profile.

LEARNER: A Transfer Learning Method for Low-Rank Matrix Estimation Overview of the biobank japan project: Study design and profile

Reference 35

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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 2026-08-15T06:32:42.880941+00:00.

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Observation 0555fb63-4309-4d70-86c9-cb741aa8c402 · outbound

This paper cites The uk biobank resource with deep phenotyping and genomic data.

LEARNER: A Transfer Learning Method for Low-Rank Matrix Estimation The uk biobank resource with deep phenotyping and genomic data

Reference 36

Resolution
verified fuzzy
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Observation 842afabb-d1cb-4da3-9e37-a5dbd7465db1 · outbound

This paper cites Finngen provides genetic insights from a well-phenotyped isolated population.

LEARNER: A Transfer Learning Method for Low-Rank Matrix Estimation Finngen provides genetic insights from a well-phenotyped isolated population

Reference 37

Resolution
verified fuzzy
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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 15abfcb0-2cc9-4896-b9fe-e11e79e327a0 · outbound

This paper cites The varimax criterion for analytic rotation in factor analysis.

LEARNER: A Transfer Learning Method for Low-Rank Matrix Estimation The varimax criterion for analytic rotation in factor analysis

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:25:16.107749Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 7d3956f7-ab71-4f09-9a63-ac667af94dd7 · outbound

This paper cites Spectral regularization algorithms for learning large incomplete matrices.

LEARNER: A Transfer Learning Method for Low-Rank Matrix Estimation Spectral regularization algorithms for learning large incomplete matrices

Reference 39

Resolution
verified fuzzy
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source=arxiv_source observed=2026-08-10T23:25:15.851581Z digest=sha256:c19542d4033ad49f7054d165fe017930db5bde5a2472614723b5edb624f98401

Observation 03718fcb-0f3f-4601-8067-8a2a450bb3f3 · outbound

This paper cites softImpute: Matrix Completion via Iterative Soft-Thresholded SVD , 2021.

LEARNER: A Transfer Learning Method for Low-Rank Matrix Estimation softImpute: Matrix Completion via Iterative Soft-Thresholded SVD , 2021

Reference 40

Resolution
verified fuzzy
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source=arxiv_source observed=2026-08-10T23:25:15.855196Z digest=sha256:5b3f7f2f820c899c4598c9d998d17d945942d082b68ef6c61c0dbe343ea1be81

Observation 430aaadb-9171-42c3-9ff2-b290ef302ad3 · outbound

This paper cites Heteroskedastic pca: Algorithm, optimality, and applications.

LEARNER: A Transfer Learning Method for Low-Rank Matrix Estimation Heteroskedastic pca: Algorithm, optimality, and applications

Reference 41

Resolution
verified fuzzy
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source=arxiv_source observed=2026-08-10T23:25:15.858478Z digest=sha256:783b64e0bb93670006dd2f9ae4840127cb09e54dc804bfffb6a8ea5f468a1532

Observation ac07d79b-e35d-406a-8135-e868a8a34bce · outbound

This paper cites The dyson equalizer: Adaptive noise stabilization for low-rank signal detection and recovery.

LEARNER: A Transfer Learning Method for Low-Rank Matrix Estimation The dyson equalizer: Adaptive noise stabilization for low-rank signal detection and recovery

Reference 42

Resolution
verified fuzzy
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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-10T23:25:15.861890Z digest=sha256:5368c80c6201521a1f7257370f244d2d6f278d916eeea30bee0d545f23306abf

Observation 059553ef-5cee-4b85-84a6-56f14049a1a3 · outbound

This paper cites The international genome sample resource (igsr) collection of open human genomic variation resources.

LEARNER: A Transfer Learning Method for Low-Rank Matrix Estimation The international genome sample resource (igsr) collection of open human genomic variation resources

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:25:16.047176Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-10T23:25:15.866140Z digest=sha256:8be67329db6c56007539161fd4df76cdf01c740d58045197d53ac40f6036ce45

Observation 71e243fb-7567-41c8-94c5-c3fd55fb4cc4 · outbound

This paper cites Plink: a tool set for whole-genome association and population-based linkage analyses.

LEARNER: A Transfer Learning Method for Low-Rank Matrix Estimation Plink: a tool set for whole-genome association and population-based linkage analyses

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:25:16.034904Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-10T23:25:15.870758Z digest=sha256:33596ba30d07678df8a4aa32d933dab3f9c095eec05ef902cdaa3a62fb9c61f6

Observation eb76d3e7-62d0-49a8-9894-8adb0b8fa19d · outbound

This paper cites A global reference for human genetic variation.

LEARNER: A Transfer Learning Method for Low-Rank Matrix Estimation A global reference for human genetic variation

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:25:16.020805Z

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-10T23:25:15.874505Z digest=sha256:78f8c4e6350ac635acfdbf793e2eeac3446cece265793d7ff7a211dd89029c82

Observation df8d96f2-d4d6-4198-a692-20e4b4259d04 · outbound

This paper cites The International Genome Sample Resource (IGSR) collection of open human genomic variation resources.

LEARNER: A Transfer Learning Method for Low-Rank Matrix Estimation The International Genome Sample Resource (IGSR) collection of open human genomic variation resources

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:25:16.008957Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-10T23:25:15.878079Z digest=sha256:bceae50c318dda9ed8435a6bf7300b859a1ba3de4c20fb7fdfc4bb460a66b933

Pith citing papers

Observation 2211776d-35e3-410c-b13a-75996a9213c3 · inbound

Transfer Learning for Matrix Completion cites this paper.

Transfer Learning for Matrix Completion LEARNER: A Transfer Learning Method for Low-Rank Matrix Estimation

Reference 2022

Resolution
verified exact
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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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