Pith. sign in

Paper Citation Record · LEDGER

Analysis of High-dimensional Gaussian Labeled-unlabeled Mixture Model via Message-passing Algorithm

As of 23 August 2026, this Paper Citation Record lists 56 of 56 outbound references and 0 inbound Pith citation observations for arXiv:2411.19553.

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

pith.paper-citation-record.v1
2411.19553 v2

Coverage vector

measured 56 of 56 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T10:08:19.633374Z

measured 56 of 56 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+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

56 of 56 outbound references displayed

  • verified exact1
  • verified fuzzy46
  • unresolved9
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 3f1cb209-45a1-4c52-9b16-fe7b6625379a · outbound

This paper cites Semi-supervised learning literature survey.

Analysis of High-dimensional Gaussian Labeled-unlabeled Mixture Model via Message-passing Algorithm Semi-supervised learning literature survey

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-12T10:08:19.200240Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T10:08:19.200240Z digest=sha256:492c92c5700629de708a65c7ad7ab1c13ca890808344cdb47b5e03a18e00498b

Observation 1b91df8b-f4ce-42fd-a3aa-f2970a3ded17 · outbound

This paper cites Semi-Supervised Learning.

Analysis of High-dimensional Gaussian Labeled-unlabeled Mixture Model via Message-passing Algorithm Semi-Supervised Learning

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:08:21.029722Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-12T10:08:19.208581Z digest=sha256:928f009944b830a89d2f81515ee0207da4e84656daf07d40050dcedf6c8c77b0

Observation 40ce8dc9-05ed-4f43-8b3a-ddc6d3ab2938 · outbound

This paper cites Billion-scale semi-supervised learning for image classification.

Analysis of High-dimensional Gaussian Labeled-unlabeled Mixture Model via Message-passing Algorithm Billion-scale semi-supervised learning for image classification

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-12T10:08:19.213202Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T10:08:19.213202Z digest=sha256:193ea3f3a0b11891327a014200128c0a00f3b929a5af64763bd744b12a555642

Observation 1956baef-8d0d-4549-af68-323cc05a7eac · outbound

This paper cites Pushing the Limits of Semi-Supervised Learning for Automatic Speech Recognition.

Analysis of High-dimensional Gaussian Labeled-unlabeled Mixture Model via Message-passing Algorithm Pushing the Limits of Semi-Supervised Learning for Automatic Speech Recognition

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-12T10:08:19.219461Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T10:08:19.219461Z digest=sha256:760214b3a34f42f7ab0af748f8cb39eef990661629e1567787c5d9acbf43d8be

Observation de354924-8bf7-4a4b-9e9b-48f435f91c43 · outbound

This paper cites Mixmatch: A holistic approach to semi-supervised learning.

Analysis of High-dimensional Gaussian Labeled-unlabeled Mixture Model via Message-passing Algorithm Mixmatch: A holistic approach to semi-supervised learning

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:08:21.013172Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-12T10:08:19.224213Z digest=sha256:0b946f374a910ee70092aeafa770046acbd4d4b3ca8c645eddde435a5d4c3e1b

Observation d7f28f16-7ee1-4cd1-933d-42259a5f0003 · outbound

This paper cites Asymptotic Bayes risk for Gaussian mixture in a semi- supervised setting.

Analysis of High-dimensional Gaussian Labeled-unlabeled Mixture Model via Message-passing Algorithm Asymptotic Bayes risk for Gaussian mixture in a semi- supervised setting

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:08:20.999416Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-12T10:08:19.229302Z digest=sha256:5871a0f4ddbc36dd8cfa710ef48822c168365f3286a57403f7d337e313a0aa2f

Observation 920136e9-1117-4fba-b861-a317269080c4 · outbound

This paper cites Pattern recognition and machine learning, volume 4.

Analysis of High-dimensional Gaussian Labeled-unlabeled Mixture Model via Message-passing Algorithm Pattern recognition and machine learning, volume 4

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-12T10:08:19.234429Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T10:08:19.234429Z digest=sha256:faad31a86ba5510f49d738334c8027d5207c9450a3e27c1708773115f1a9ac89

Observation 57b07eb0-dd89-4432-810f-3b4c10bb3e87 · outbound

This paper cites Statistical-mechanics analysis of Gaussian labeled-unlabeled classi- fication problems.

Analysis of High-dimensional Gaussian Labeled-unlabeled Mixture Model via Message-passing Algorithm Statistical-mechanics analysis of Gaussian labeled-unlabeled classi- fication problems

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:08:20.929063Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-12T10:08:19.239133Z digest=sha256:63a572ef6bdea0aa522b7e5a2150daea56b4e082acdeb578361da2d0fb0801a9

Observation 799d18f3-0461-46e6-ab19-95b653f52d00 · outbound

This paper cites A study of Gaussian mixture models of color and texture features for image classification and segmentation.

Analysis of High-dimensional Gaussian Labeled-unlabeled Mixture Model via Message-passing Algorithm A study of Gaussian mixture models of color and texture features for image classification and segmentation

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:08:20.916001Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-12T10:08:19.248656Z digest=sha256:ccacea963fc2f08a3761fc23b7b74c64c0f1fce6e21b3b77c073a189a7089a58

Observation f4263513-1af6-461d-8ab8-be5887d161bb · outbound

This paper cites High Dimensional Classification via Regularized and Unregularized Empirical Risk Minimization: Precise Error and Optimal Loss.

Analysis of High-dimensional Gaussian Labeled-unlabeled Mixture Model via Message-passing Algorithm High Dimensional Classification via Regularized and Unregularized Empirical Risk Minimization: Precise Error and Optimal Loss

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-12T10:08:19.257660Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T10:08:19.257660Z digest=sha256:19fbc89fad534c061dda9398aa602b08edf2873415f594c14da36625a279b4df

Observation d95f338d-da4c-41b2-bb8a-83855311a407 · outbound

This paper cites The role of regularization in classification of high-dimensional noisy Gaussian mixture.

Analysis of High-dimensional Gaussian Labeled-unlabeled Mixture Model via Message-passing Algorithm The role of regularization in classification of high-dimensional noisy Gaussian mixture

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:08:20.892771Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-12T10:08:19.262544Z digest=sha256:e35bd703da39441ced46ea49da43449db757c2e08237d78705bc41462fca8f0e

Observation 04513f06-3635-48d3-823b-7602d3397442 · outbound

This paper cites A modern maximum-likelihood theory for high- dimensional logistic regression.

Analysis of High-dimensional Gaussian Labeled-unlabeled Mixture Model via Message-passing Algorithm A modern maximum-likelihood theory for high- dimensional logistic regression

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:08:20.879521Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-12T10:08:19.267054Z digest=sha256:70c442a810b6d010558d3a31d1fed91bd7e92298792be8d4198ebf474a858caa

Observation 45e10804-38b8-4c0a-8e53-7a6a1cad7f1c · outbound

This paper cites Realistic evaluation of deep semi-supervised learning algorithms.

Analysis of High-dimensional Gaussian Labeled-unlabeled Mixture Model via Message-passing Algorithm Realistic evaluation of deep semi-supervised learning algorithms

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:08:20.866159Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-12T10:08:19.270947Z digest=sha256:9b09092838a463c5b3bcf37405ce3649337f111dd7fd3a36a86b9681a112e4fc

Observation 8a3e7335-982b-49d7-92b8-f51743fd3934 · outbound

This paper cites Machine learning applications in genetics and genomics.

Analysis of High-dimensional Gaussian Labeled-unlabeled Mixture Model via Message-passing Algorithm Machine learning applications in genetics and genomics

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:08:20.819780Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-12T10:08:19.274612Z digest=sha256:856e5ce177dcf154a8298455c2319adef97f1157141bfff04900fa3104e3706b

Observation 7dbfcf76-787d-4e50-b8ae-ce3df89af3d3 · outbound

This paper cites Reconciling modern machine-learning practice and the classical bias–variance trade-off.

Analysis of High-dimensional Gaussian Labeled-unlabeled Mixture Model via Message-passing Algorithm Reconciling modern machine-learning practice and the classical bias–variance trade-off

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:08:20.764439Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-12T10:08:19.293640Z digest=sha256:0e00e91cdaeeb4f75ac790f83978b7d479da14eb7336374809f96c3230927084

Observation 7a4dde7d-2020-487e-8431-9b79c2ceb2be · outbound

This paper cites The generalization error of random features regres- sion: Precise asymptotics and the double descent curve.

Analysis of High-dimensional Gaussian Labeled-unlabeled Mixture Model via Message-passing Algorithm The generalization error of random features regres- sion: Precise asymptotics and the double descent curve

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:08:20.713620Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-12T10:08:19.304734Z digest=sha256:aaa566a9d5f14675026ac46155253f7016f9b126378b9464d1d29762d91b0caf

Observation 5baed0b7-48ba-4d39-9642-005948271ba0 · outbound

This paper cites Gaussian Universality of Perceptrons with Random Labels.

Analysis of High-dimensional Gaussian Labeled-unlabeled Mixture Model via Message-passing Algorithm Gaussian Universality of Perceptrons with Random Labels

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-12T10:08:19.321580Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T10:08:19.321580Z digest=sha256:1054efe01ee7103c1cfd15c0019a67c2a8411841a4f1e07790e72f8967855482

Observation b84bf4ca-532d-4d41-b6ef-8c530d8f37e2 · outbound

This paper cites Universality of empirical risk minimization.

Analysis of High-dimensional Gaussian Labeled-unlabeled Mixture Model via Message-passing Algorithm Universality of empirical risk minimization

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-12T10:08:19.330968Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T10:08:19.330968Z digest=sha256:98f82d1ee02f08385243fef5298496ccc376a3eaf8bc21cd7e3de8925748f6ac

Observation 5ed61dc2-dd89-4ae8-b5bb-7f861d5ea82f · outbound

This paper cites Non-adaptive pooling strategies for detection of rare faulty items.

Analysis of High-dimensional Gaussian Labeled-unlabeled Mixture Model via Message-passing Algorithm Non-adaptive pooling strategies for detection of rare faulty items

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:08:20.687196Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-12T10:08:19.334978Z digest=sha256:c8f812bca05a33f88b618107c8f9354530dee584960220e5c2c591db9eae18ed

Observation 12ee9919-b2d0-48a2-92e0-be13d81a8c6d · outbound

This paper cites Clustering from sparse pairwise measurements.

Analysis of High-dimensional Gaussian Labeled-unlabeled Mixture Model via Message-passing Algorithm Clustering from sparse pairwise measurements

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:08:20.675006Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-12T10:08:19.364748Z digest=sha256:e24e9ca8c3474ccdb7cc1fd566bf89dcf262001ce1cb8cff086a7e28e803fa42

Observation c257f73e-2cba-453e-8d28-a417f5340710 · outbound

This paper cites Generalization error in high-dimensional perceptrons: Approaching Bayes error with convex opti- mization.

Analysis of High-dimensional Gaussian Labeled-unlabeled Mixture Model via Message-passing Algorithm Generalization error in high-dimensional perceptrons: Approaching Bayes error with convex opti- mization

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:08:20.663558Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-12T10:08:19.378459Z digest=sha256:ce7914ec12c34494c7f82e6e9bc00936f3e508c4fde3850284c471200cad7f57

Observation 34943af8-d290-4bda-a17e-fa7a5c75c0b4 · outbound

This paper cites Optimal M-estimation in high-dimensional regression.

Analysis of High-dimensional Gaussian Labeled-unlabeled Mixture Model via Message-passing Algorithm Optimal M-estimation in high-dimensional regression

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:08:20.651174Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-12T10:08:19.383419Z digest=sha256:28df0be77a9e389fefa4935a05d0fde7bae62aced0cc096f517dd82c3ee4fc07

Observation 6707ebed-5289-496a-9a01-c36ca9ab519a · outbound

This paper cites High dimensional robust M-estimation: Asymptotic variance via approximate message passing.

Analysis of High-dimensional Gaussian Labeled-unlabeled Mixture Model via Message-passing Algorithm High dimensional robust M-estimation: Asymptotic variance via approximate message passing

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:08:20.640006Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-12T10:08:19.387272Z digest=sha256:7e2bd31df9c14893115c60e8df7391c85536809773d7e953ea92b2a8491e9e98

Observation d1f2ea3a-b4f2-4354-b31b-72e51bbf7678 · outbound

This paper cites An equivalence between high dimensional Bayes optimal inference and M-estimation.

Analysis of High-dimensional Gaussian Labeled-unlabeled Mixture Model via Message-passing Algorithm An equivalence between high dimensional Bayes optimal inference and M-estimation

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:08:20.625910Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-12T10:08:19.390647Z digest=sha256:69ae369c073d43a0a6133ad3fba5aa03cd3deb699e81242f444074729443c1d5

Observation 368e5ba9-5e76-4486-a5c8-f27f95187049 · outbound

This paper cites Precise error analysis of regularized M-estimators in high dimensions.

Analysis of High-dimensional Gaussian Labeled-unlabeled Mixture Model via Message-passing Algorithm Precise error analysis of regularized M-estimators in high dimensions

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:08:20.611352Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-12T10:08:19.394242Z digest=sha256:affcd152630824519e1ff0fe5d9e71c245910b292ddd3bf17a649100b8ef6d17

Observation b0dbd150-97ff-441d-a1ab-97684a97bc94 · outbound

This paper cites Graphical models concepts in com- pressed sensing.

Analysis of High-dimensional Gaussian Labeled-unlabeled Mixture Model via Message-passing Algorithm Graphical models concepts in com- pressed sensing

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:08:20.597162Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-12T10:08:19.397528Z digest=sha256:52cc233f08be63656ffd39e7bc421dcc478a8e61ef9ffd3117149dea94f64f20

Observation fdba8583-6442-4736-816e-9fc4005f2fef · outbound

This paper cites Message-passing algo- rithms for compressed sensing.

Analysis of High-dimensional Gaussian Labeled-unlabeled Mixture Model via Message-passing Algorithm Message-passing algo- rithms for compressed sensing

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:08:20.583734Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-12T10:08:19.401025Z digest=sha256:b6874f7d475ebf90ffca832e649f80741c3377ebc381d3bbec36b9be84fdafb6

Observation 0bf9e1a7-7d2d-4844-9f1f-8e7313761ced · outbound

This paper cites Message passing algorithms for compressed sensing: I I.

Analysis of High-dimensional Gaussian Labeled-unlabeled Mixture Model via Message-passing Algorithm Message passing algorithms for compressed sensing: I I

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:08:20.571593Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-12T10:08:19.404521Z digest=sha256:ef737b3d07ba83a3cc5c5f181f72272ffe07f54279ac945ce00ef2ec5123c7fb

Observation a155d217-77d4-4470-91eb-e121daefd972 · outbound

This paper cites The dynamics of message passing on dense graphs, with applications to compressed sensing.

Analysis of High-dimensional Gaussian Labeled-unlabeled Mixture Model via Message-passing Algorithm The dynamics of message passing on dense graphs, with applications to compressed sensing

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:08:20.558610Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-12T10:08:19.415397Z digest=sha256:4e9b607e17730ad845589b83a73b0d07419550bf2abb60605888f3e980a88fd6

Observation d9a5857f-f7bf-4346-bf1d-b06db32d9832 · outbound

This paper cites Low-rank matrix reconstruction and clus- tering via approximate message passing.

Analysis of High-dimensional Gaussian Labeled-unlabeled Mixture Model via Message-passing Algorithm Low-rank matrix reconstruction and clus- tering via approximate message passing

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:08:20.546234Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-12T10:08:19.418902Z digest=sha256:17afb1e107040f2b142baf736780aa2b98d1da7562f3b47e40c47d2c9e448049

Observation d352a931-3296-4996-bd69-4e8614448eeb · outbound

This paper cites Information-theoretically optimal sparse PCA.

Analysis of High-dimensional Gaussian Labeled-unlabeled Mixture Model via Message-passing Algorithm Information-theoretically optimal sparse PCA

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:08:20.524472Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-12T10:08:19.422585Z digest=sha256:83e91492d0a9063a4e3d8ffb5ebb7737b936db1d61b7576acdc761953c8dbb96

Observation 208c3e9e-519d-45f6-bfe1-4c07086afc34 · outbound

This paper cites The estimation error of general first order methods.

Analysis of High-dimensional Gaussian Labeled-unlabeled Mixture Model via Message-passing Algorithm The estimation error of general first order methods

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:08:20.511108Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-12T10:08:19.425935Z digest=sha256:90db7a58ed5f0539e38f4e0cc889a0d6acbbcc5e19f632b2b2e0b3a8aa62f8ca

Observation fd497966-ae48-46d1-b8b2-a9975d2496ce · outbound

This paper cites Understanding belief prop- agation and its generalizations.

Analysis of High-dimensional Gaussian Labeled-unlabeled Mixture Model via Message-passing Algorithm Understanding belief prop- agation and its generalizations

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:08:20.489618Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-12T10:08:19.444749Z digest=sha256:a8d4107f338896a417ea5766f5006d6fcf2402e0a3952fac55a0f8378cbb3fef

Observation b14693a6-cf7e-495f-b5df-f7970004df84 · outbound

This paper cites A CDMA multiuser detection algorithm on the basis of belief propagation.

Analysis of High-dimensional Gaussian Labeled-unlabeled Mixture Model via Message-passing Algorithm A CDMA multiuser detection algorithm on the basis of belief propagation

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-12T10:08:19.450821Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T10:08:19.450821Z digest=sha256:3fc31aaec0c8ae27a267a9e4ac3fc6fce652c72f94d646fac3fa7638dce5a891

Observation 9762c40f-5cfb-4cea-be44-8716cda257b7 · outbound

This paper cites Approximate belief propagation, density evo- lution, and statistical neurodynamics for CDMA multiuser detection.

Analysis of High-dimensional Gaussian Labeled-unlabeled Mixture Model via Message-passing Algorithm Approximate belief propagation, density evo- lution, and statistical neurodynamics for CDMA multiuser detection

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:08:20.463718Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-12T10:08:19.464809Z digest=sha256:12e803d1e8140b238e3a64a50c199c2dd393df0d59e53b391329b8efb955c8f1

Observation e2eb2f57-ef0d-47a1-80d9-d20b9a673212 · outbound

This paper cites an unresolved cited work.

Analysis of High-dimensional Gaussian Labeled-unlabeled Mixture Model via Message-passing Algorithm Unresolved cited work

Reference 36

Resolution
unresolved
raw_fallback, observed 2026-08-12T10:08:20.448224Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-12T10:08:19.505750Z digest=sha256:96b5cb871f28daee110feff65e09e3a078231396ff510aa42f5065879c7e835f

Observation 2435c672-073e-4f91-bc40-dddbf844a8f6 · outbound

This paper cites Spin glass theory and be- yond: An Introduction to the Replica Method and Its Applications , volume 9.

Analysis of High-dimensional Gaussian Labeled-unlabeled Mixture Model via Message-passing Algorithm Spin glass theory and be- yond: An Introduction to the Replica Method and Its Applications , volume 9

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:08:20.437460Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-12T10:08:19.511841Z digest=sha256:dbf2af6d92c49dc47fab661c172c5c5c9511e901bc2a97b950536da12227e4eb

Observation cce1304a-6eba-417d-8358-f339a275f6ef · outbound

This paper cites Design of capacity-approaching irregular low-density parity-check codes.

Analysis of High-dimensional Gaussian Labeled-unlabeled Mixture Model via Message-passing Algorithm Design of capacity-approaching irregular low-density parity-check codes

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:08:20.405302Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-12T10:08:19.517743Z digest=sha256:fb149b656217e93429e0f05032358aaaca50b0fd64353888d64f2deb9e21e1da

Observation f9f978c5-ee72-4a40-9c5c-94a776a9857c · outbound

This paper cites Statistical mechanics of the maximum-likelihood density estimation.

Analysis of High-dimensional Gaussian Labeled-unlabeled Mixture Model via Message-passing Algorithm Statistical mechanics of the maximum-likelihood density estimation

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:08:20.388014Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-12T10:08:19.522655Z digest=sha256:f14432b5e75818ba5adda652cc47515561c3584c03bfa8bb058e9e420aab2b58

Observation 074868cf-3d5e-4369-a11c-9d8edc139830 · outbound

This paper cites Phase transitions and optimal algorithms in high-dimensional Gaus- sian mixture clustering.

Analysis of High-dimensional Gaussian Labeled-unlabeled Mixture Model via Message-passing Algorithm Phase transitions and optimal algorithms in high-dimensional Gaus- sian mixture clustering

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:08:20.374741Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-12T10:08:19.527367Z digest=sha256:b14fc32db6e0154356018620cb72fbbabddf379d20774d3d5ad606f5019d20b1

Observation c0c44d0f-d842-4f56-ab87-8a6d54db46b5 · outbound

This paper cites Theoretical in- sights into multiclass classification: A high-dimensional asymptotic view.

Analysis of High-dimensional Gaussian Labeled-unlabeled Mixture Model via Message-passing Algorithm Theoretical in- sights into multiclass classification: A high-dimensional asymptotic view

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:08:20.362704Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-12T10:08:19.531742Z digest=sha256:ad779a2e2c057a0e2e27ff43b184fbc58884a16c10c8ccae9216019430c7ce73

Observation 921ebc50-1659-441b-9f2f-c3fdc3dc813a · outbound

This paper cites Learning Gaussian mixtures with generalized linear mod- els: Precise asymptotics in high-dimensions.

Analysis of High-dimensional Gaussian Labeled-unlabeled Mixture Model via Message-passing Algorithm Learning Gaussian mixtures with generalized linear mod- els: Precise asymptotics in high-dimensions

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:08:20.325522Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-12T10:08:19.544740Z digest=sha256:99597816b20e18cc77f88562bc0e479eb0c814aa24559e4c12b95b88b29e0370

Observation 62bb860b-88a6-4eb4-a87f-3e3da5dfd6ab · outbound

This paper cites The Role of Pseudo-labels in Self-training Linear Classifiers on High-dimensional Gaussian Mixture Data.

Analysis of High-dimensional Gaussian Labeled-unlabeled Mixture Model via Message-passing Algorithm The Role of Pseudo-labels in Self-training Linear Classifiers on High-dimensional Gaussian Mixture Data

Reference 43

Resolution
verified exact
local_arxiv, observed 2026-08-12T10:08:19.677381Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-12T10:08:19.549174Z digest=sha256:2caf77f47f834960ea8271033de0011e8b4f2e568ae9c95cbd62f6be6e263d95

Observation ad33865b-ba71-4273-a79e-c2e2c28c3d88 · outbound

This paper cites An introduction to variational methods for graphical models.

Analysis of High-dimensional Gaussian Labeled-unlabeled Mixture Model via Message-passing Algorithm An introduction to variational methods for graphical models

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:08:20.291125Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-12T10:08:19.553878Z digest=sha256:ff5b4960209d5cc89d90b4ccb638ae0065b2f0e8579c85eabdcf32631990b577

Observation 9b9380e9-a2a3-4ce3-8b4a-0d4d097c5f5d · outbound

This paper cites Graphical models, exponential families, and variational inference.

Analysis of High-dimensional Gaussian Labeled-unlabeled Mixture Model via Message-passing Algorithm Graphical models, exponential families, and variational inference

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:08:20.256810Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-12T10:08:19.558344Z digest=sha256:32043aa4f29ecafb4c71c29fd9809b9d6b00d5aaf531061a1f06abc40f67b0af

Observation d2c9ffb6-2220-47f7-874a-8a099ec1959a · outbound

This paper cites Factor graphs and the sum-product algorithm.

Analysis of High-dimensional Gaussian Labeled-unlabeled Mixture Model via Message-passing Algorithm Factor graphs and the sum-product algorithm

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:08:20.236980Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-12T10:08:19.562143Z digest=sha256:58304d3f576be7f2d64aff533f244c8c82560dfd169123e9d49f66d6a60f79d9

Observation f6bb0fc4-5b4d-4f14-8e71-fb58c701eb43 · outbound

This paper cites Statistical mechanics and phase transitions in clustering.

Analysis of High-dimensional Gaussian Labeled-unlabeled Mixture Model via Message-passing Algorithm Statistical mechanics and phase transitions in clustering

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:08:20.194966Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-12T10:08:19.565951Z digest=sha256:4ac6aef23b8eb54d237ab2020c4622218419aa837d3e8801fa44a8a0e84b760d

Observation 4f265007-1ddf-4bce-aa4d-f27e9afcc1ee · outbound

This paper cites Statistical mechanics of unsupervised learning.

Analysis of High-dimensional Gaussian Labeled-unlabeled Mixture Model via Message-passing Algorithm Statistical mechanics of unsupervised learning

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:08:20.089264Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-12T10:08:19.577033Z digest=sha256:6b60dc4ada4b8b1e4fde9773a8aaf15529e9bf9e1c4c93ffe1f40f48854cabed

Observation 41873104-de34-4845-bae6-221f66f84718 · outbound

This paper cites Scaling laws in learning of classification tasks.

Analysis of High-dimensional Gaussian Labeled-unlabeled Mixture Model via Message-passing Algorithm Scaling laws in learning of classification tasks

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:08:19.964875Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-12T10:08:19.580821Z digest=sha256:024b0c53a740b005d94b3c080a82f747e0f33805a8caf2b8624a4cea8595eacd

Observation ee471ac8-2ef2-4e62-ae06-221d89c5ff03 · outbound

This paper cites Optimal unsupervised learning.

Analysis of High-dimensional Gaussian Labeled-unlabeled Mixture Model via Message-passing Algorithm Optimal unsupervised learning

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:08:19.924259Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-12T10:08:19.584374Z digest=sha256:7808a96925e5719186756b64f4d00b09b884dea01c61a109334a8878fa50fe27

Observation 7e9114f3-acfa-40f9-8a15-1cb05e31fae9 · outbound

This paper cites The Nishimori line and Bayesian statistics.

Analysis of High-dimensional Gaussian Labeled-unlabeled Mixture Model via Message-passing Algorithm The Nishimori line and Bayesian statistics

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:08:19.892861Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-12T10:08:19.588125Z digest=sha256:3b2ac9a62edf944d2c33eaf1599949ff89ccccaf2abd4bdd77417ecb90238790

Observation 8d78c25b-c1d3-453a-bb6c-270e72b2f3fe · outbound

This paper cites Statistical physics of spin glasses and information processing: an introduction.

Analysis of High-dimensional Gaussian Labeled-unlabeled Mixture Model via Message-passing Algorithm Statistical physics of spin glasses and information processing: an introduction

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:08:19.860199Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-12T10:08:19.592153Z digest=sha256:670e44cb91e41b5b3f54a2866593b47dd9ad61e9c2752a7aae474e86fa20afee

Observation a7be68f9-a5fc-4c0d-8ede-e143bfe1058b · outbound

This paper cites A statistical-mechanics approach to large-system analysis of CDMA multiuser detectors.

Analysis of High-dimensional Gaussian Labeled-unlabeled Mixture Model via Message-passing Algorithm A statistical-mechanics approach to large-system analysis of CDMA multiuser detectors

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:08:19.834744Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-12T10:08:19.620535Z digest=sha256:e93794d78759a64cd778fd5002296f73523ba011e3b5bc917ce94ad6218d8dc3

Observation dc52aeca-f692-45a5-a25f-08520893700b · outbound

This paper cites Generalized approximate message passing for estimation with ran- dom linear mixing.

Analysis of High-dimensional Gaussian Labeled-unlabeled Mixture Model via Message-passing Algorithm Generalized approximate message passing for estimation with ran- dom linear mixing

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:08:19.785314Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-12T10:08:19.624305Z digest=sha256:4cc8973fa4d4cd9ec4f981f4afdc94347ba50d8cb819800ea82d0cbb848166ac

Observation 4d593ecc-5adb-4f76-9a72-91e07dc570d6 · outbound

This paper cites Approximate message passing for nonconvex sparse regularization with stability and asymptotic analysis.

Analysis of High-dimensional Gaussian Labeled-unlabeled Mixture Model via Message-passing Algorithm Approximate message passing for nonconvex sparse regularization with stability and asymptotic analysis

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:08:19.770051Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-12T10:08:19.628922Z digest=sha256:59ec946ed4add459def1c8a9f1b5f27d2215fd8d6dd3d74da7bcc0889d29c688

Observation c3e0080a-a22b-4347-b452-e9eb45021e53 · outbound

This paper cites Macroscopic analysis of vector ap- proximate message passing in a model-mismatched setting.

Analysis of High-dimensional Gaussian Labeled-unlabeled Mixture Model via Message-passing Algorithm Macroscopic analysis of vector ap- proximate message passing in a model-mismatched setting

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:08:19.755014Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-12T10:08:19.633374Z digest=sha256:49ef4c33ac5a25d49a62a21ec1252eab1b9172cd9431d9a7ac17629315aa571b

Pith citing papers

No inbound Pith citation observations are available.