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Paper Citation Record · LEDGER

SampleLLM: Optimizing Tabular Data Synthesis in Recommendations

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2501.16125.

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

pith.paper-citation-record.v1
2501.16125 v3

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 2026-08-09T06:31:02.800959+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T17:20:36.474699Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T17:55:51.371755Z

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 191e0662-b20c-4082-8006-44ed4a976954 · inbound

Few-shot LLM Synthetic Data with Distribution Matching cites this paper.

Few-shot LLM Synthetic Data with Distribution Matching SampleLLM: Optimizing Tabular Data Synthesis in Recommendations

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-08T17:20:36.474699Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T17:20:36.474699Z digest=sha256:ade4fea91beb2852c7a215ed626b28deb6166f45b5de0e9f14589b6caa10e90e

Observation 96d7add7-3c57-40c6-871d-0414e4d65a1f · inbound

From Bootstrapping to Sequence Modeling: A Unified Generative Framework for Personalized Landing-Page Modeling cites this paper.

From Bootstrapping to Sequence Modeling: A Unified Generative Framework for Personalized Landing-Page Modeling SampleLLM: Optimizing Tabular Data Synthesis in Recommendations

Reference 9

Resolution
verified exact
arxiv_id, observed 2026-07-01T17:55:51.373220Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-29T02:56:52.303152Z digest=sha256:fa0eca0d7c28a48f20452111359917960e9c31834323c0ad7cd705d54c0ba328