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Paper Citation Record · LEDGER

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

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:2304.11171.

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

pith.paper-citation-record.v1
2304.11171 v5

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 10 of 10 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 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T22:34:51.237161Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-06-30T17:24:57.237229Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

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

Granular Ball Twin Support Vector Machine with Universum Data cites this paper.

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.

source=pdf_text observed=2026-08-11T22:34:51.237161Z digest=sha256:a300e5e5488b2c50c82f9f404243ee53f9db69f3996f3b797281ce9604be0d9e

Observation 850d9c49-1937-44ca-8f24-77c42a6c841d · inbound

Graph Coarsening via Supervised Granular-Ball for Scalable Graph Neural Network Training cites this paper.

Graph Coarsening via Supervised Granular-Ball for Scalable Graph Neural Network Training Granular-ball computing: an efficient, robust, and interpretable adaptive multi-granularity representation and computation method

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-11T12:48:49.009510Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T12:48:49.009510Z digest=sha256:3b7fff59e71aaaa74d1448a8aaff1b7b4d01243936f37facc7ae09a636fce202

Observation 86173a06-9f2c-4260-b62c-87612a92d09f · inbound

Efficient and Scalable Granular-ball Graph Coarsening Method for Large-scale Graph Node Classification cites this paper.

Efficient and Scalable Granular-ball Graph Coarsening Method for Large-scale Graph Node Classification Granular-ball computing: an efficient, robust, and interpretable adaptive multi-granularity representation and computation method

Reference 39

Resolution
verified exact
arxiv_id, observed 2026-06-30T03:18:04.069821Z

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=pdf_text observed=2026-05-14T00:42:06.161506Z digest=sha256:40a96ae0d695fd10fb9d9d5b3b25295d9bd9f3e84c87728c37aa66672569c08e

Observation df9a4078-9608-422c-a7e6-8eec61f0e691 · inbound

MDL-GBG: A Non-parametric and Interpretable Granular-Ball Generation Method for Clustering cites this paper.

MDL-GBG: A Non-parametric and Interpretable Granular-Ball Generation Method for Clustering Granular-ball computing: an efficient, robust, and interpretable adaptive multi-granularity representation and computation method

Reference 6

Resolution
verified exact
arxiv_id, observed 2026-06-30T03:18:04.069821Z

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=pdf_text observed=2026-05-12T03:21:01.683578Z digest=sha256:17dc73f2a45bf38a4484d5d017bd50291d4750cfdc7dc859c50199fbc80a203f

Observation cf604ea2-d8b6-48fe-8519-65e23a2d104c · inbound

MDL-GBG: A Non-parametric and Interpretable Granular-Ball Generation Method for Clustering cites this paper.

MDL-GBG: A Non-parametric and Interpretable Granular-Ball Generation Method for Clustering Granular-ball computing: an efficient, robust, and interpretable adaptive multi-granularity representation and computation method

Reference 6

Resolution
verified exact
arxiv_id, observed 2026-06-30T03:18:04.069821Z

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=pdf_text observed=2026-05-14T21:45:29.673660Z digest=sha256:5fc01102a893e01d8c7bdcce16c6bd1afc7c739517546dc103e17f493b304b0d

Observation f2c56c22-4e80-4777-b0d2-e4561939ab3f · inbound

MDL-GBG: A Non-parametric and Interpretable Granular-Ball Generation Method for Clustering cites this paper.

MDL-GBG: A Non-parametric and Interpretable Granular-Ball Generation Method for Clustering Granular-ball computing: an efficient, robust, and interpretable adaptive multi-granularity representation and computation method

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-02T14:36:57.376339Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T14:36:57.376339Z digest=sha256:1547ea962bbd460ff61790ceac5d1bfc94144b2fa883aab63478c0b427e560be

Observation d8b1ebc9-5e1c-422d-beff-8c9a6e7e6a5f · inbound

A Boundary-Aware Non-parametric Granular-Ball Classifier Based on Minimum Description Length cites this paper.

A Boundary-Aware Non-parametric Granular-Ball Classifier Based on Minimum Description Length Granular-ball computing: an efficient, robust, and interpretable adaptive multi-granularity representation and computation method

Reference 1

Resolution
verified exact
arxiv_id, observed 2026-06-30T03:18:04.069821Z

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=pdf_text observed=2026-05-13T02:44:40.114477Z digest=sha256:35b0805c5728c8991c6b02c6dcbdf96f2fccdff5a63a5b1b0a7b69a6db2f408e

Observation e540faef-505e-449b-b6b8-8c8aa55bb65e · inbound

Minimum Description Length based Granular-Ball Tree Regularization for Spectral Clustering cites this paper.

Minimum Description Length based Granular-Ball Tree Regularization for Spectral Clustering Granular-ball computing: an efficient, robust, and interpretable adaptive multi-granularity representation and computation method

Reference 17

Resolution
verified exact
arxiv_id, observed 2026-06-30T03:18:04.069821Z

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=pdf_text observed=2026-05-22T07:34:54.929422Z digest=sha256:6c12deadbdcbc2cd4c4be427c8129e43879e1a567e313ed4e06d49bda1993a5d

Observation b12d63ee-c5b5-4a83-a2b9-4555175cd9b0 · inbound

Minimum Description Length based Granular-Ball Tree Regularization for Spectral Clustering cites this paper.

Minimum Description Length based Granular-Ball Tree Regularization for Spectral Clustering Granular-ball computing: an efficient, robust, and interpretable adaptive multi-granularity representation and computation method

Reference 17

Resolution
verified exact
local_arxiv, observed 2026-06-30T17:24:57.238651Z

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=pdf_text observed=2026-06-30T17:20:21.639912Z digest=sha256:8ecb02cfe60c9edcaf0775c9f9742fca74c412d17bdfb923e7782c410df1d982

Observation 0c7cd34b-27db-427f-b06d-4737adfbb6bb · inbound

3DGBGS: 3D Granular Ball Gaussian Splatting for Compact Novel View Synthesis cites this paper.

3DGBGS: 3D Granular Ball Gaussian Splatting for Compact Novel View Synthesis Granular-ball computing: an efficient, robust, and interpretable adaptive multi-granularity representation and computation method

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-01T13:04:28.638854Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T13:04:28.638854Z digest=sha256:728db4f65771ad64f102230e083d6e011672abfdcf0bbc829a7b86001baedbcc