Paper Citation Record · LEDGER

Large Language Model as Attributed Training Data Generator: A Tale of Diversity and Bias

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2306.15895.

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

pith.paper-citation-record.v1
2306.15895 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T14:53:04.652198Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-30T19:05:00.314725Z

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 59e5017b-f635-496d-8b23-47ff0b60d0d2 · inbound

Can One Domain Help Others? A Data-Centric Study on Multi-Domain Reasoning via Reinforcement Learning cites this paper.

Can One Domain Help Others? A Data-Centric Study on Multi-Domain Reasoning via Reinforcement Learning Large Language Model as Attributed Training Data Generator: A Tale of Diversity and Bias

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-06T14:53:04.652198Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 06e23b44-3803-4a57-b8d2-4579854aba6c · inbound

Agents of Diffusion: Enhancing Diffusion Language Models with Multi-Agent Reinforcement Learning for Structured Data Generation (Extended Version) cites this paper.

Agents of Diffusion: Enhancing Diffusion Language Models with Multi-Agent Reinforcement Learning for Structured Data Generation (Extended Version) Large Language Model as Attributed Training Data Generator: A Tale of Diversity and Bias

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-03T11:14:51.791406Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cc7d854a-6ba8-42a4-a3e1-239a1a35f62a · inbound

Towards Human-Level Book-Writing Capability cites this paper.

Towards Human-Level Book-Writing Capability Large Language Model as Attributed Training Data Generator: A Tale of Diversity and Bias

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-05-20T15:43:27.037322Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation da8338da-fec3-4ce2-818c-24527a6582ab · inbound

Towards Human-Level Book-Writing Capability cites this paper.

Towards Human-Level Book-Writing Capability Large Language Model as Attributed Training Data Generator: A Tale of Diversity and Bias

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-06-30T19:05:00.316225Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 285c1a1a-cc31-4a3c-af45-ac500176e3e6 · inbound

When Gradients Collide: Failure Modes of Multi-Objective Prompt Optimization for LLM Judges cites this paper.

When Gradients Collide: Failure Modes of Multi-Objective Prompt Optimization for LLM Judges Large Language Model as Attributed Training Data Generator: A Tale of Diversity and Bias

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-06-29T21:13:59.405266Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 0cfb7a20-c00e-4289-862f-39d11127aaeb · inbound

Make LLM Learn to Synthesize from Streaming Experiences through Feedback cites this paper.

Make LLM Learn to Synthesize from Streaming Experiences through Feedback Large Language Model as Attributed Training Data Generator: A Tale of Diversity and Bias

Reference 37

Resolution: verified exact; arxiv_id, observed 2026-06-29T07:43:13.610684Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.