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Paper Citation Record · LEDGER

ClusterLLM: Large Language Models as a Guide for Text Clustering

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2305.14871.

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

pith.paper-citation-record.v1
2305.14871 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T20:37:55.254964Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-30T08:04:28.220561Z

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 e3c94379-f0ae-4d91-acc2-bdd138360ffc · inbound

A Survey on Uncertainty Quantification of Large Language Models: Taxonomy, Open Research Challenges, and Future Directions cites this paper.

A Survey on Uncertainty Quantification of Large Language Models: Taxonomy, Open Research Challenges, and Future Directions ClusterLLM: Large Language Models as a Guide for Text Clustering

Reference 246

Resolution
unresolved
no resolver link, observed 2026-08-11T20:37:55.254964Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T20:37:55.254964Z digest=sha256:e66a8305ac7d2da68c3e0c32e8fe986b249ec172c4eaabd4a21f2cd003f13f43

Observation bb5e5e5f-7b34-4219-a24a-7277df744f6d · inbound

Information-Theoretic Generative Clustering of Documents cites this paper.

Information-Theoretic Generative Clustering of Documents ClusterLLM: Large Language Models as a Guide for Text Clustering

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-11T13:06:14.846927Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T13:06:14.846927Z digest=sha256:6d498e7ad9f7c939b8f8c97f91ec9c860b8e6603fa0d303d5db11c2a3423586a

Observation 5ae401b0-a539-4805-aa78-a51e90e1a7b3 · inbound

TableVault: Managing Dynamic Data Collections for LLM-Augmented Workflows cites this paper.

TableVault: Managing Dynamic Data Collections for LLM-Augmented Workflows ClusterLLM: Large Language Models as a Guide for Text Clustering

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-06T23:25:14.958783Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:25:14.958783Z digest=sha256:f43c98545b8687bfa2d4b0e41ada7630ad6f770ab926e3651658e2a771751ae8

Observation 5afdcfed-bcda-4eb1-8c42-bbd8b32033da · inbound

Metadata Management for AI-Augmented Data Workflows cites this paper.

Metadata Management for AI-Augmented Data Workflows ClusterLLM: Large Language Models as a Guide for Text Clustering

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-05T22:35:18.654046Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T22:35:18.654046Z digest=sha256:fdbed7041af1e12424bf12387fd7121c018a00fef8f14c8a47f3b7050b4bf62c

Observation b75a7561-b93b-4799-9455-933232b18b32 · inbound

SafeCRS: Personalized Safety Alignment for LLM-Based Conversational Recommender Systems cites this paper.

SafeCRS: Personalized Safety Alignment for LLM-Based Conversational Recommender Systems ClusterLLM: Large Language Models as a Guide for Text Clustering

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-02T19:10:40.741302Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T19:10:40.741302Z digest=sha256:4fc32ca327c560ea879897b5064c4f75eb1b5c65d168592d977829e5b48259b1

Observation d8269910-d2ae-422a-b742-f19c61135da0 · inbound

Evidence-Informed LLM Beliefs for Continual Scientific Discovery cites this paper.

Evidence-Informed LLM Beliefs for Continual Scientific Discovery ClusterLLM: Large Language Models as a Guide for Text Clustering

Reference 40

Resolution
verified exact
arxiv_id, observed 2026-06-30T08:04:28.222002Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-06-30T07:58:16.860761Z digest=sha256:cb9bffbaf445f2f3e9f1ddc039c0e2b98d0388e39d2a13ac53c189d79cbdf78d