Paper Citation Record · LEDGER

Revisiting k-means: New Algorithms via Bayesian Nonparametrics

As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:1111.0352.

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

pith.paper-citation-record.v1
1111.0352 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-01T09:14:46.072879Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-05-20T22:49:10.701005Z

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 938b4097-6293-4151-968a-d2bc74b94044 · inbound

A neurosymbolic Approach with Epistemic Deep Learning for Hierarchical Image Classification cites this paper.

A neurosymbolic Approach with Epistemic Deep Learning for Hierarchical Image Classification Revisiting k-means: New Algorithms via Bayesian Nonparametrics

Reference 123

Resolution: metadata mismatch; local_arxiv, observed 2026-05-20T22:49:10.704646Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 29285f49-c0bd-479d-b217-f92f9c13e7e7 · inbound

Remembering Distinct Items, Not Tokens: A Learnable Dirichlet-Process Cache Between State-Space Models and Attention cites this paper.

Remembering Distinct Items, Not Tokens: A Learnable Dirichlet-Process Cache Between State-Space Models and Attention Revisiting k-means: New Algorithms via Bayesian Nonparametrics

Reference 16

Resolution: unresolved; no resolver link, observed 2026-07-14T14:50:03.831572Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3e4e6f1a-9dfa-4114-b2e5-0526f0b608e0 · inbound

Context by Distinct Information: An Auditable Dirichlet-Process Working Memory for Long, Redundant Context Streams cites this paper.

Context by Distinct Information: An Auditable Dirichlet-Process Working Memory for Long, Redundant Context Streams Revisiting k-means: New Algorithms via Bayesian Nonparametrics

Reference 6

Resolution: unresolved; no resolver link, observed 2026-07-14T11:45:09.424370Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 56558e95-4bc4-449b-84f5-59c76bf7a520 · inbound

Probabilistic Residual Learning for Online Recommendations cites this paper.

Probabilistic Residual Learning for Online Recommendations Revisiting k-means: New Algorithms via Bayesian Nonparametrics

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-01T09:14:46.072879Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.