Paper Citation Record · LEDGER

Lite-RVFL: A Lightweight Random Vector Functional-Link Neural Network for Learning Under Concept Drift

As of 9 August 2026, this Paper Citation Record lists 21 of 21 outbound references and 0 inbound Pith citation observations for arXiv:2506.08063.

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

pith.paper-citation-record.v1
2506.08063 v1

Coverage vector

measured 21 of 21 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:37:57.561528Z

measured 21 of 21 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+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

21 of 21 outbound references displayed

verified exact2
verified fuzzy14
unresolved5
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 89bd3e5f-5716-4eb6-934b-56b6bc286d68 · outbound

This paper cites Online learning: A compre- hensive survey,.

Lite-RVFL: A Lightweight Random Vector Functional-Link Neural Network for Learning Under Concept Drift Online learning: A compre- hensive survey,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:37:58.915539Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation ce8f46c9-320e-453b-a8b3-242f1b84d844 · outbound

This paper cites Learning under concept drift: A review,.

Lite-RVFL: A Lightweight Random Vector Functional-Link Neural Network for Learning Under Concept Drift Learning under concept drift: A review,

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-07T05:37:57.469577Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1baba0ef-20b9-447a-aa06-bc923fd6d100 · outbound

This paper cites An online active broad learning approach for real-time safety assessment of dynamic systems in nonstationary environments,.

Lite-RVFL: A Lightweight Random Vector Functional-Link Neural Network for Learning Under Concept Drift An online active broad learning approach for real-time safety assessment of dynamic systems in nonstationary environments,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:37:58.732207Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation d2411259-181a-411f-a5de-28d2222d54cf · outbound

This paper cites Real-time safety assessment of dynamic systems in non-stationary environments: A review of methods and techniques,.

Lite-RVFL: A Lightweight Random Vector Functional-Link Neural Network for Learning Under Concept Drift Real-time safety assessment of dynamic systems in non-stationary environments: A review of methods and techniques,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:37:58.592965Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation b18908c5-2786-49f5-a051-86683b5e4f93 · outbound

This paper cites An overview of concept drift applications,.

Lite-RVFL: A Lightweight Random Vector Functional-Link Neural Network for Learning Under Concept Drift An overview of concept drift applications,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:37:58.419698Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 4ed97267-d0e3-4024-95ef-f46d72f9e9dd · outbound

This paper cites A dynamic anchor- based online semi-supervised learning approach for fault diagnosis under variable operating conditions,.

Lite-RVFL: A Lightweight Random Vector Functional-Link Neural Network for Learning Under Concept Drift A dynamic anchor- based online semi-supervised learning approach for fault diagnosis under variable operating conditions,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:37:58.255104Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation eef311f6-d1c6-4820-ad5d-10d3b3099f3c · outbound

This paper cites A survey of active and passive concept drift handling methods,.

Lite-RVFL: A Lightweight Random Vector Functional-Link Neural Network for Learning Under Concept Drift A survey of active and passive concept drift handling methods,

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-07T05:37:57.494722Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8fabc7ad-4709-417e-b2a5-39fcaa07aeaf · outbound

This paper cites Learning from time-changing data with adaptive windowing,.

Lite-RVFL: A Lightweight Random Vector Functional-Link Neural Network for Learning Under Concept Drift Learning from time-changing data with adaptive windowing,

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-07T05:37:57.499579Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0852d43e-a872-4c8f-b0e0-6663ebe101c1 · outbound

This paper cites Online and non- parametric drift detection methods based on hoeffding’s bounds,.

Lite-RVFL: A Lightweight Random Vector Functional-Link Neural Network for Learning Under Concept Drift Online and non- parametric drift detection methods based on hoeffding’s bounds,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-07T05:37:57.504099Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d45046c9-4836-4d92-8d76-938d791a4b5b · outbound

This paper cites CADM+: Confusion-based learning framework with drift detection and adaptation for real-time safety assessment,.

Lite-RVFL: A Lightweight Random Vector Functional-Link Neural Network for Learning Under Concept Drift CADM+: Confusion-based learning framework with drift detection and adaptation for real-time safety assessment,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:37:58.037469Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 9350d214-f03b-45c5-ba85-858d6de65876 · outbound

This paper cites Reinforcement online active learning ensemble for drifting imbalanced data streams,.

Lite-RVFL: A Lightweight Random Vector Functional-Link Neural Network for Learning Under Concept Drift Reinforcement online active learning ensemble for drifting imbalanced data streams,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:37:57.904810Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 5a908803-ab7a-4cc4-9aff-23b4fe504859 · outbound

This paper cites Dynamic ensemble selection for imbalanced data streams with concept drift,.

Lite-RVFL: A Lightweight Random Vector Functional-Link Neural Network for Learning Under Concept Drift Dynamic ensemble selection for imbalanced data streams with concept drift,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:37:57.821499Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 961d6c29-ab86-46fd-a197-10f73d281416 · outbound

This paper cites Adaptive chunk-based dynamic weighted majority for imbalanced data streams with concept drift,.

Lite-RVFL: A Lightweight Random Vector Functional-Link Neural Network for Learning Under Concept Drift Adaptive chunk-based dynamic weighted majority for imbalanced data streams with concept drift,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:37:57.788809Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 46d24fe7-19f0-48b4-8c56-7868a114f1a7 · outbound

This paper cites PB-OEL: A Performance-Bounded Online Ensemble Learning Framework With Mixed Feedback for Real-Time Safety Assessment.

Lite-RVFL: A Lightweight Random Vector Functional-Link Neural Network for Learning Under Concept Drift PB-OEL: A Performance-Bounded Online Ensemble Learning Framework With Mixed Feedback for Real-Time Safety Assessment

Reference 14

Resolution: verified exact; local_arxiv, observed 2026-08-07T05:37:57.632719Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 423027d8-c989-41f8-8e3b-ec0ef247b081 · outbound

This paper cites Learning and generalization characteristics of the random vector functional-link net,.

Lite-RVFL: A Lightweight Random Vector Functional-Link Neural Network for Learning Under Concept Drift Learning and generalization characteristics of the random vector functional-link net,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:37:57.760022Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation ad349799-a99e-4be7-b15e-c3bd0aa29b0c · outbound

This paper cites Random vector functional link network: Recent developments, appli- cations, and future directions,.

Lite-RVFL: A Lightweight Random Vector Functional-Link Neural Network for Learning Under Concept Drift Random vector functional link network: Recent developments, appli- cations, and future directions,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:37:57.733341Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation ae7aa3a5-0590-470b-a9dc-42ab1eee6f9b · outbound

This paper cites A comprehensive evaluation of random vector functional link networks,.

Lite-RVFL: A Lightweight Random Vector Functional-Link Neural Network for Learning Under Concept Drift A comprehensive evaluation of random vector functional link networks,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:37:57.710759Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 1809a640-e86c-4ddc-8fa7-31e7854f4f8a · outbound

This paper cites Updating the inverse of a matrix,.

Lite-RVFL: A Lightweight Random Vector Functional-Link Neural Network for Learning Under Concept Drift Updating the inverse of a matrix,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:37:57.681500Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 3a148d70-39dd-45a9-a940-5fc4dd13daeb · outbound

This paper cites Several explicit formulae of sums and hyper-sums of powers of integers.

Lite-RVFL: A Lightweight Random Vector Functional-Link Neural Network for Learning Under Concept Drift Several explicit formulae of sums and hyper-sums of powers of integers

Reference 19

Resolution: verified exact; local_arxiv, observed 2026-08-07T05:37:57.607700Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 40dc6fe4-7201-4dd7-ba9d-2496df2069e8 · outbound

This paper cites The powers sums, bernoulli numbers, bernoulli polynomials rethinked,.

Lite-RVFL: A Lightweight Random Vector Functional-Link Neural Network for Learning Under Concept Drift The powers sums, bernoulli numbers, bernoulli polynomials rethinked,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:37:57.662534Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 54aff558-4706-4e20-aa11-9472dcba88ef · outbound

This paper cites Continuous inspection schemes,.

Lite-RVFL: A Lightweight Random Vector Functional-Link Neural Network for Learning Under Concept Drift Continuous inspection schemes,

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-07T05:37:57.561528Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.