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Paper Citation Record · LEDGER

Influence of various text embeddings on clustering performance in NLP

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2305.03144.

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

pith.paper-citation-record.v1
2305.03144 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:25:47.961629Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-16T00:14:32.602362Z

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 1d446a37-640a-4d2b-ad16-62146f47b831 · inbound

Cequel: Cost-Effective Querying of Large Language Models for Text Clustering cites this paper.

Cequel: Cost-Effective Querying of Large Language Models for Text Clustering Influence of various text embeddings on clustering performance in NLP

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-16T11:25:47.961629Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:25:47.961629Z digest=sha256:dffd75e0e6ce023b3a925910fe7acd0bc33bec0945d382865dc429d74d859f28

Observation 40b64aff-c05c-4008-934a-d8f691770243 · inbound

A Cascaded Unsupervised-Supervised NLP Pipeline for Detecting Accusatory Language in Public Procurement cites this paper.

A Cascaded Unsupervised-Supervised NLP Pipeline for Detecting Accusatory Language in Public Procurement Influence of various text embeddings on clustering performance in NLP

Reference 35

Resolution
verified exact
local_arxiv, observed 2026-08-16T00:14:32.610874Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T00:14:32.455865Z digest=sha256:885686d1fb761e5a41176d14559889592cdec5e9a65685fbe24ce2b9350009bf