Paper Citation Record · LEDGER

An Overview of Large Language Models for Statisticians

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 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 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:16:38.717248Z

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 b90b92dc-bddf-4e26-add5-376c6db5a835 · inbound

Fundamental Limits of Game-Theoretic LLM Alignment: Smith Consistency and Preference Matching cites this paper.

Fundamental Limits of Game-Theoretic LLM Alignment: Smith Consistency and Preference Matching An Overview of Large Language Models for Statisticians

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-07T14:16:38.717248Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 61f26049-22d0-4e45-9147-e926ac8b41d2 · inbound

Accelerating RLHF Training with Reward Variance Increase cites this paper.

Accelerating RLHF Training with Reward Variance Increase An Overview of Large Language Models for Statisticians

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-07T12:59:45.680041Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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 2026-08-08T06:32:00.761636+00:00.

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 2026-08-08T06:32:00.761636+00:00.

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 2026-08-08T06:32:00.761636+00:00.