Paper Citation Record · LEDGER

Graph Random Walk with Feature-Label Space Alignment: A Multi-Label Feature Selection Method

As of 8 August 2026, this Paper Citation Record lists 43 of 43 outbound references and 0 inbound Pith citation observations for arXiv:2505.23228.

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

pith.paper-citation-record.v1
2505.23228 v1

Coverage vector

measured 43 of 43 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:55:47.571634Z

measured 43 of 43 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+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

43 of 43 outbound references displayed

verified exact0
verified fuzzy40
unresolved3
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 92784613-59ce-46a5-a714-1f0723623982 · outbound

This paper cites Wrapper feature selection method based differential evolution and extreme learning machine for intrusion detection system.

Graph Random Walk with Feature-Label Space Alignment: A Multi-Label Feature Selection Method Wrapper feature selection method based differential evolution and extreme learning machine for intrusion detection system

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:55:56.590489Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation d8bf7560-7440-49cc-8173-80d3511cdac8 · outbound

This paper cites Convex optimization.

Graph Random Walk with Feature-Label Space Alignment: A Multi-Label Feature Selection Method Convex optimization

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:55:56.364186Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 3d902927-8394-421f-99a8-e69a415a6329 · outbound

This paper cites Multi-label feature selec- tion with shared common mode.

Graph Random Walk with Feature-Label Space Alignment: A Multi-Label Feature Selection Method Multi-label feature selec- tion with shared common mode

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:55:54.990057Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 36d81f3b-c557-4687-b582-4cfb05bd0c3c · outbound

This paper cites Ex- ploiting multilabel information for noise-resilient feature selection.

Graph Random Walk with Feature-Label Space Alignment: A Multi-Label Feature Selection Method Ex- ploiting multilabel information for noise-resilient feature selection

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:55:54.215019Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 2eae0c9c-b3c0-444c-991b-49da92adc814 · outbound

This paper cites Multi-label relieff and f-statistic feature selections for image annotation.

Graph Random Walk with Feature-Label Space Alignment: A Multi-Label Feature Selection Method Multi-label relieff and f-statistic feature selections for image annotation

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:55:53.639217Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 64141971-5467-4190-9e00-e6e87b5e994c · outbound

This paper cites Mu- tual information-based multi-label feature selection using interaction information.

Graph Random Walk with Feature-Label Space Alignment: A Multi-Label Feature Selection Method Mu- tual information-based multi-label feature selection using interaction information

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:55:53.258742Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 0cb68d35-8152-40f5-9e96-76bcc7ea1594 · outbound

This paper cites Feature selection: A data perspective.

Graph Random Walk with Feature-Label Space Alignment: A Multi-Label Feature Selection Method Feature selection: A data perspective

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:55:52.773792Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 6dbbeb19-01d4-4e5c-82a2-974b30a6970b · outbound

This paper cites Multi-label feature selection via robust flexible sparse reg- ularization.

Graph Random Walk with Feature-Label Space Alignment: A Multi-Label Feature Selection Method Multi-label feature selection via robust flexible sparse reg- ularization

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:55:52.608449Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 8cfe6021-e76d-4203-ad32-d72d37f97e59 · outbound

This paper cites Multi-label feature selection with high-sparse personalized and low-redundancy shared common features.Information Processing & Management, 61(3):103633,.

Graph Random Walk with Feature-Label Space Alignment: A Multi-Label Feature Selection Method Multi-label feature selection with high-sparse personalized and low-redundancy shared common features.Information Processing & Management, 61(3):103633,

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-07T12:55:45.408420Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 14d84e42-eb27-4243-b4d6-9a84cfacb52c · outbound

This paper cites Multi-label feature selection based on max-dependency and min-redundancy.

Graph Random Walk with Feature-Label Space Alignment: A Multi-Label Feature Selection Method Multi-label feature selection based on max-dependency and min-redundancy

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-07T12:55:45.644017Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cb5b2c25-c412-46ba-b5a9-d4fbd9ee1986 · outbound

This paper cites Multi-view multi-label learning with high- order label correlation.

Graph Random Walk with Feature-Label Space Alignment: A Multi-Label Feature Selection Method Multi-view multi-label learning with high- order label correlation

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:55:52.114399Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 289ece6a-27e4-4c0a-ace0-86ddc4bbbc08 · outbound

This paper cites Efficient and robust feature selection via joint ℓ2, 1-norms minimization.

Graph Random Walk with Feature-Label Space Alignment: A Multi-Label Feature Selection Method Efficient and robust feature selection via joint ℓ2, 1-norms minimization

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:55:51.892913Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation d47b8eb3-4ea3-4279-9d83-65981f16388a · outbound

This paper cites A pruned problem transformation method for multi-label classification.

Graph Random Walk with Feature-Label Space Alignment: A Multi-Label Feature Selection Method A pruned problem transformation method for multi-label classification

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:55:51.427254Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 4449c0c9-5e3e-41bd-834b-194360a9391c · outbound

This paper cites A local random walk model for complex networks based on discriminative fea- ture combinations.

Graph Random Walk with Feature-Label Space Alignment: A Multi-Label Feature Selection Method A local random walk model for complex networks based on discriminative fea- ture combinations

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:55:51.037919Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 5644fb80-6125-4ea0-a1b2-074c3901f8c2 · outbound

This paper cites Unsupervised feature selection via latent representation learning and manifold regularization.

Graph Random Walk with Feature-Label Space Alignment: A Multi-Label Feature Selection Method Unsupervised feature selection via latent representation learning and manifold regularization

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:55:50.546315Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation e8514ddf-c0f3-4407-8d84-141a36c482e1 · outbound

This paper cites Metafs: performance assessment of biomarker discovery in metaproteomics.

Graph Random Walk with Feature-Label Space Alignment: A Multi-Label Feature Selection Method Metafs: performance assessment of biomarker discovery in metaproteomics

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:55:50.246690Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 5e8e1f55-297d-4469-bea1-1f13ba85fb94 · outbound

This paper cites Mulan: A java library for multi-label learning.The Journal of Machine Learning Research, 12:2411–2414,.

Graph Random Walk with Feature-Label Space Alignment: A Multi-Label Feature Selection Method Mulan: A java library for multi-label learning.The Journal of Machine Learning Research, 12:2411–2414,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:55:49.959771Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation ef4c72c1-ba50-410a-a578-b0332f302f92 · outbound

This paper cites Multi-label causal feature selection.

Graph Random Walk with Feature-Label Space Alignment: A Multi-Label Feature Selection Method Multi-label causal feature selection

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:55:49.688463Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation ea3ac7c3-af72-483a-9847-aa5b3bb83e23 · outbound

This paper cites Feature selection based on label distribution and fuzzy mutual information.

Graph Random Walk with Feature-Label Space Alignment: A Multi-Label Feature Selection Method Feature selection based on label distribution and fuzzy mutual information

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:55:49.472874Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 1201ceba-9a6f-45fc-aa65-135f64f7d865 · outbound

This paper cites Feature selection using stochastic gates.

Graph Random Walk with Feature-Label Space Alignment: A Multi-Label Feature Selection Method Feature selection using stochastic gates

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:55:49.276559Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 074fbb6d-33d8-4f79-b663-1fe4f60da781 · outbound

This paper cites Lle score: A new filter- based unsupervised feature selection method based on nonlinear manifold embedding and its application to im- age recognition.

Graph Random Walk with Feature-Label Space Alignment: A Multi-Label Feature Selection Method Lle score: A new filter- based unsupervised feature selection method based on nonlinear manifold embedding and its application to im- age recognition

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:55:49.077261Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation bd0d0f66-1878-44e7-be3a-90f6e5931881 · outbound

This paper cites Multilabel feature selection: a local causal structure learning approach.

Graph Random Walk with Feature-Label Space Alignment: A Multi-Label Feature Selection Method Multilabel feature selection: a local causal structure learning approach

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:55:48.840786Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 448e661c-8990-4759-8c29-1c7617982f72 · outbound

This paper cites Feature relevance term variation for multi-label feature selection.

Graph Random Walk with Feature-Label Space Alignment: A Multi-Label Feature Selection Method Feature relevance term variation for multi-label feature selection

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-07T12:55:47.183614Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 48c28291-1452-4138-959f-b207a71e57e9 · outbound

This paper cites Distinguishing two types of labels for multi-label feature selection.

Graph Random Walk with Feature-Label Space Alignment: A Multi-Label Feature Selection Method Distinguishing two types of labels for multi-label feature selection

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:55:48.391171Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 3bf80e5d-3f61-460f-be62-fde8889be262 · outbound

This paper cites A conditional-weight joint relevance metric for feature relevancy term.

Graph Random Walk with Feature-Label Space Alignment: A Multi-Label Feature Selection Method A conditional-weight joint relevance metric for feature relevancy term

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:55:48.229850Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 7541c889-fd14-479e-b36c-8e16307098c8 · outbound

This paper cites Multi-label feature selection via latent representation learning and dynamic graph constraints.

Graph Random Walk with Feature-Label Space Alignment: A Multi-Label Feature Selection Method Multi-label feature selection via latent representation learning and dynamic graph constraints

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:55:48.031324Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation db2aec8f-bafb-497f-b8f1-1146eaba37c3 · outbound

This paper cites Multi-label learning with emerging new labels.

Graph Random Walk with Feature-Label Space Alignment: A Multi-Label Feature Selection Method Multi-label learning with emerging new labels

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:55:47.788063Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 425b07b1-94fa-47b2-8807-19e33815b890 · outbound

This paper cites Exact top-k feature selection via l2, 0-norm constraint.

Graph Random Walk with Feature-Label Space Alignment: A Multi-Label Feature Selection Method Exact top-k feature selection via l2, 0-norm constraint

Reference 2004

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:55:56.179319Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 8a965fff-4965-4b4d-85f4-b157fb60cfb2 · outbound

This paper cites Feature selection in au- tomatic music genre classification.

Graph Random Walk with Feature-Label Space Alignment: A Multi-Label Feature Selection Method Feature selection in au- tomatic music genre classification

Reference 2008

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:55:51.218135Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation f800e6e7-fd85-4526-a172-8a9cfed08dbb · outbound

This paper cites Label enhancement-based fea- ture selection via fuzzy neighborhood discrimination in- dex.

Graph Random Walk with Feature-Label Space Alignment: A Multi-Label Feature Selection Method Label enhancement-based fea- ture selection via fuzzy neighborhood discrimination in- dex

Reference 2010

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:55:51.651212Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation b7434b5d-86f3-4e1f-b3b5-9efb5c42c2cb · outbound

This paper cites Manifold learning with structured subspace for multi-label feature selection.

Graph Random Walk with Feature-Label Space Alignment: A Multi-Label Feature Selection Method Manifold learning with structured subspace for multi-label feature selection

Reference 2011

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:55:55.661161Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 83561b93-2d85-4f5b-a113-2f1c3b91f242 · outbound

This paper cites A novel multi-label feature selection method with association rules and rough set.Information Sciences, 624:299–323,.

Graph Random Walk with Feature-Label Space Alignment: A Multi-Label Feature Selection Method A novel multi-label feature selection method with association rules and rough set.Information Sciences, 624:299–323,

Reference 2012

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:55:53.463672Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 7498128d-4af4-40cf-a350-7157ac1a014a · outbound

This paper cites Few-sample feature selection via feature manifold learning.

Graph Random Walk with Feature-Label Space Alignment: A Multi-Label Feature Selection Method Few-sample feature selection via feature manifold learning

Reference 2013

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:55:56.010745Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation bbb587c0-6872-479a-b2ee-2f51d905cce2 · outbound

This paper cites Scls: Multi-label feature selection based on scalable criterion for large label set.

Graph Random Walk with Feature-Label Space Alignment: A Multi-Label Feature Selection Method Scls: Multi-label feature selection based on scalable criterion for large label set

Reference 2015

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:55:53.024125Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 9679893b-6a72-4457-828c-dfff7d412617 · outbound

This paper cites Multi-label informed feature selection.

Graph Random Walk with Feature-Label Space Alignment: A Multi-Label Feature Selection Method Multi-label informed feature selection

Reference 2016

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:55:54.416548Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation c08b4339-60fc-41cf-825f-0ad1cb35c5e1 · outbound

This paper cites Multilabel feature selection with constrained latent struc- ture shared term.

Graph Random Walk with Feature-Label Space Alignment: A Multi-Label Feature Selection Method Multilabel feature selection with constrained latent struc- ture shared term

Reference 2017

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:55:55.262857Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 8c209e63-6429-4d08-9ab0-640944e3fe55 · outbound

This paper cites Fea- ture selection based on absolute deviation factor for text classification.

Graph Random Walk with Feature-Label Space Alignment: A Multi-Label Feature Selection Method Fea- ture selection based on absolute deviation factor for text classification

Reference 2018

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:55:53.921347Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 0389ceac-d464-43be-a525-c4e8ef57e5fe · outbound

This paper cites Feature selection using fisher score and multilabel neighborhood rough sets for multilabel classification.

Graph Random Walk with Feature-Label Space Alignment: A Multi-Label Feature Selection Method Feature selection using fisher score and multilabel neighborhood rough sets for multilabel classification

Reference 2019

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:55:50.827648Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 816306d8-9839-419f-99b8-a7c3def0e34f · outbound

This paper cites Learning label-specific features and class-dependent labels for multi-label classification.

Graph Random Walk with Feature-Label Space Alignment: A Multi-Label Feature Selection Method Learning label-specific features and class-dependent labels for multi-label classification

Reference 2020

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:55:54.697027Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 1b74a921-f048-4984-9a00-d2b2a3315275 · outbound

This paper cites Novel feature selection method based on random walk and artificial bee colony.

Graph Random Walk with Feature-Label Space Alignment: A Multi-Label Feature Selection Method Novel feature selection method based on random walk and artificial bee colony

Reference 2021

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:55:55.500106Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 4e703ab7-ed2c-4f55-8c1a-bcd2fba00de4 · outbound

This paper cites Benchmark of filter methods for feature selection in high- dimensional gene expression survival data.

Graph Random Walk with Feature-Label Space Alignment: A Multi-Label Feature Selection Method Benchmark of filter methods for feature selection in high- dimensional gene expression survival data

Reference 2022

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:55:56.448164Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 43895df4-94eb-4c25-bd3a-8e05a19c4d19 · outbound

This paper cites Feature selection for multi-label classification problems.

Graph Random Walk with Feature-Label Space Alignment: A Multi-Label Feature Selection Method Feature selection for multi-label classification problems

Reference 2023

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:55:55.846937Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 51e088df-2915-44db-b2d3-1e12a832f837 · outbound

This paper cites Mfc: Initialization method for multi-label feature selection based on conditional mutual information.

Graph Random Walk with Feature-Label Space Alignment: A Multi-Label Feature Selection Method Mfc: Initialization method for multi-label feature selection based on conditional mutual information

Reference 2024

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:55:52.350867Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Pith citing papers

No inbound Pith citation observations are available.