Paper Citation Record · LEDGER

Granular Ball Twin Support Vector Machine with Universum Data

As of 15 August 2026, this Paper Citation Record lists 18 of 18 outbound references and 0 inbound Pith citation observations for arXiv:2412.03375.

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

pith.paper-citation-record.v1
2412.03375 v1

Coverage vector

measured 18 of 18 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T22:34:51.311247Z

measured 18 of 18 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 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

18 of 18 outbound references displayed

verified exact0
verified fuzzy16
unresolved2
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation dda5dac9-6208-46b1-be51-0d74d911cac4 · outbound

This paper cites Granular-ball computing: an efficient, robust, and interpretable adaptive multi-granularity representation and computation method.

Granular Ball Twin Support Vector Machine with Universum Data Granular-ball computing: an efficient, robust, and interpretable adaptive multi-granularity representation and computation method

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-11T22:34:51.237161Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c6478394-8611-4267-8373-9014da42bf79 · outbound

This paper cites Granular ball computing classifiers for efficient, scalable and robust learning.

Granular Ball Twin Support Vector Machine with Universum Data Granular ball computing classifiers for efficient, scalable and robust learning

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:34:51.624204Z

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.

Observation 75982ba0-8882-475c-8232-0aaf1389e70a · outbound

This paper cites Twin support vector machines for pattern classification.

Granular Ball Twin Support Vector Machine with Universum Data Twin support vector machines for pattern classification

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:34:51.609366Z

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.

Observation ac22503f-71f0-44f9-a65c-134945e22076 · outbound

This paper cites Application of smoothing technique on twin support vector machines.

Granular Ball Twin Support Vector Machine with Universum Data Application of smoothing technique on twin support vector machines

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:34:51.593289Z

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.

Observation de76bf7d-95e8-43bc-a432-7c2d0f419c6e · outbound

This paper cites A coordinate descent margin based-twin support vector machine for classification.

Granular Ball Twin Support Vector Machine with Universum Data A coordinate descent margin based-twin support vector machine for classification

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:34:51.577726Z

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.

Observation c005177a-f590-4eb5-a5e3-2ac6b25dd4ab · outbound

This paper cites Inference with the universum.

Granular Ball Twin Support Vector Machine with Universum Data Inference with the universum

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:34:51.563410Z

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.

Observation 80db61ed-91c3-4d7a-8a09-db1ee138f8ae · outbound

This paper cites Twin support vector machine with universum data.

Granular Ball Twin Support Vector Machine with Universum Data Twin support vector machine with universum data

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:34:51.551172Z

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.

Observation d7bea5a8-7231-4bf0-91ab-dd194d124210 · outbound

This paper cites Least squares twin support vector machine with universum data for classification.

Granular Ball Twin Support Vector Machine with Universum Data Least squares twin support vector machine with universum data for classification

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:34:51.534059Z

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.

Observation e365a6b1-0f0d-408a-a58e-bbf0adae2846 · outbound

This paper cites ν-twin support vector machine with universum data for classification.

Granular Ball Twin Support Vector Machine with Universum Data ν-twin support vector machine with universum data for classification

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:34:51.517554Z

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.

Observation 2b2916b9-7fb3-4513-8868-bc0ad8cfa2cb · outbound

This paper cites A reduced universum twin support vector machine for class imbalance learning.

Granular Ball Twin Support Vector Machine with Universum Data A reduced universum twin support vector machine for class imbalance learning

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:34:51.502137Z

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.

Observation 5e3593de-e2f8-4c2a-9219-69f50a959ec5 · outbound

This paper cites Uni- versum parametric-margin ν-support vector machine for classification using the difference of convex functions algorithm.

Granular Ball Twin Support Vector Machine with Universum Data Uni- versum parametric-margin ν-support vector machine for classification using the difference of convex functions algorithm

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:34:51.485111Z

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.

Observation efa6b5f3-6eb1-4f96-ab4e-a451c2bb7f6b · outbound

This paper cites Inverse free reduced universum twin support vector machine for imbalanced data clas- sification.

Granular Ball Twin Support Vector Machine with Universum Data Inverse free reduced universum twin support vector machine for imbalanced data clas- sification

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:34:51.465732Z

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.

Observation 676efe1a-57b1-4596-b72e-8faa41552bb9 · outbound

This paper cites A new multi-task learning method with universum data.

Granular Ball Twin Support Vector Machine with Universum Data A new multi-task learning method with universum data

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:34:51.450869Z

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.

Observation ae0ffc71-7ad1-499c-8cbd-3561bdf5470f · outbound

This paper cites A new transductive learning method with universum data.

Granular Ball Twin Support Vector Machine with Universum Data A new transductive learning method with universum data

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:34:51.434293Z

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.

Observation 0d17f199-64ac-4da4-8193-b26491dd0c92 · outbound

This paper cites Universum based lagrangian twin bounded support vector machine to classify eeg signals.

Granular Ball Twin Support Vector Machine with Universum Data Universum based lagrangian twin bounded support vector machine to classify eeg signals

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:34:51.417764Z

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.

Observation 8bcc2184-1cd0-4c87-989b-e7bcd55ccbe0 · outbound

This paper cites Adaptive robust adaboost-based twin support vector machine with universum data.

Granular Ball Twin Support Vector Machine with Universum Data Adaptive robust adaboost-based twin support vector machine with universum data

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:34:51.395749Z

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.

Observation 761f73b4-8b36-47ea-be8e-74a52499b705 · outbound

This paper cites An improved parametric-margin universum tsvm.

Granular Ball Twin Support Vector Machine with Universum Data An improved parametric-margin universum tsvm

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:34:51.381178Z

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.

Observation ed226d4c-5057-4559-badc-32b9bdc5619b · outbound

This paper cites GBSVM: Granular-ball Support Vector Machine.

Granular Ball Twin Support Vector Machine with Universum Data GBSVM: Granular-ball Support Vector Machine

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-11T22:34:51.311247Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.