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Paper Citation Record · LEDGER

An Overview of Large Language Models for Statisticians

As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2502.17814.

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

pith.paper-citation-record.v1
2502.17814 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-28T21:58:11.339217Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T19:56:10.545253Z

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 5f56c590-35af-4959-a715-abd68531cb25 · inbound

Position: LLM Watermarking Should Align Stakeholders' Incentives for Practical Adoption cites this paper.

Position: LLM Watermarking Should Align Stakeholders' Incentives for Practical Adoption An Overview of Large Language Models for Statisticians

Reference 33

Resolution
verified exact
arxiv_id, observed 2026-05-18T05:25:54.266789Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-18T05:24:25.622071Z digest=sha256:41fab306bb993a5edbd6b8f87faeadf7f6828b2e6c11d40f0bd00494dc8d059c

Observation b323d641-e811-4ec2-8bbe-d80df1efd275 · inbound

Unsupervised Confidence Calibration for Reasoning LLMs from a Single Generation cites this paper.

Unsupervised Confidence Calibration for Reasoning LLMs from a Single Generation An Overview of Large Language Models for Statisticians

Reference 166

Resolution
metadata mismatch
arxiv_id, observed 2026-05-10T03:14:07.800571Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-10T03:13:35.541936Z digest=sha256:76e46d815ca191acf2f2a327f21979969e4f19245b9b53907ca6178df7734e3a

Observation 9afbe61b-dd94-4bfc-9d71-b7315ec26fb0 · inbound

VESTA: Visual Exploration with Statistical Tool Agents cites this paper.

VESTA: Visual Exploration with Statistical Tool Agents An Overview of Large Language Models for Statisticians

Reference 22

Resolution
metadata mismatch
arxiv_id, observed 2026-07-01T19:56:10.546756Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-06-28T21:58:11.339217Z digest=sha256:b5fdb308f0a32d7a7fd2928c23b269b1cb65686f6183181b75e9176dfc3c1a1e