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Paper Citation Record · LEDGER

A Multi-Faceted Evaluation Framework for Assessing Synthetic Data Generated by Large Language Models

As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2404.14445.

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

pith.paper-citation-record.v1
2404.14445 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T15:57:47.726247Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-20T20:33:43.218631Z

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 4ed7a9bf-20f5-4170-9978-31488525a921 · inbound

Struct-Bench: A Benchmark for Differentially Private Structured Text Generation cites this paper.

Struct-Bench: A Benchmark for Differentially Private Structured Text Generation A Multi-Faceted Evaluation Framework for Assessing Synthetic Data Generated by Large Language Models

Reference 64

Resolution
unresolved
no resolver link, observed 2026-08-15T15:57:47.726247Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T15:57:47.726247Z digest=sha256:320bd4a753abd82b0077e8a34b4b4322388411742e763a9378fd1c028825087a

Observation 1095eae7-8a90-429d-9be0-e9443505716d · inbound

Autoregressive Synthesis of Sparse and Semi-Structured Mixed-Type Data cites this paper.

Autoregressive Synthesis of Sparse and Semi-Structured Mixed-Type Data A Multi-Faceted Evaluation Framework for Assessing Synthetic Data Generated by Large Language Models

Reference 50

Resolution
verified exact
arxiv_id, observed 2026-05-15T18:16:27.053841Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-05-15T18:14:17.585458Z digest=sha256:93ba192c778f969d8a0538b294eafa1f478627c23c04902816a53e5059e1ac12

Observation 1073ef83-106a-4748-b545-ac297c32bc66 · inbound

NodeSynth: Socially Aligned Synthetic Data for AI Evaluation cites this paper.

NodeSynth: Socially Aligned Synthetic Data for AI Evaluation A Multi-Faceted Evaluation Framework for Assessing Synthetic Data Generated by Large Language Models

Reference 31

Resolution
verified exact
arxiv_id, observed 2026-05-15T02:38:35.745572Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-05-15T02:37:37.989768Z digest=sha256:4e6f7ff177caf512e789a46b4e8dd5bf55b2e8f2ebc47f7d50cb73feacaabb83

Observation f02c8761-3000-497d-8a05-cf31364b4931 · inbound

NodeSynth: Socially Aligned Synthetic Data for AI Evaluation cites this paper.

NodeSynth: Socially Aligned Synthetic Data for AI Evaluation A Multi-Faceted Evaluation Framework for Assessing Synthetic Data Generated by Large Language Models

Reference 31

Resolution
verified exact
arxiv_id, observed 2026-05-20T20:33:43.221063Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-05-20T20:31:34.005180Z digest=sha256:6bde2fce09c01a09068c62d610ac70a5cc48e91b6c39cf0e9ce16c1c1a9a013f