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Paper Citation Record · LEDGER

TarGEN: Targeted Data Generation with Large Language Models

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2310.17876.

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

pith.paper-citation-record.v1
2310.17876 v3

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 2026-08-22T06:32:14.747728+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T14:42:38.760433Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-29T15:23:32.685681Z

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 c759f35b-552c-4127-b861-e1b97285a514 · inbound

LLM for Barcodes: Generating Diverse Synthetic Data for Identity Documents cites this paper.

LLM for Barcodes: Generating Diverse Synthetic Data for Identity Documents TarGEN: Targeted Data Generation with Large Language Models

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-12T14:42:38.760433Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T14:42:38.760433Z digest=sha256:9cbe1e40533c8d22a8674ae1068b8765d81deffb9c0c2781dbab0261ebc2e71a

Observation 3cc466e1-a7d5-4c7c-9688-b485cfe481aa · inbound

Measuring Diversity in Synthetic Datasets cites this paper.

Measuring Diversity in Synthetic Datasets TarGEN: Targeted Data Generation with Large Language Models

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-08T04:54:50.673908Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T04:54:50.673908Z digest=sha256:ecf5842ff048edc2e5b7e685138bbe551180cc9317f0b36aec95156be66429ef

Observation e7322882-a784-449e-93f6-5e77106b91ab · inbound

What Matters in LLM-generated Data: Diversity and Its Effect on Model Fine-Tuning cites this paper.

What Matters in LLM-generated Data: Diversity and Its Effect on Model Fine-Tuning TarGEN: Targeted Data Generation with Large Language Models

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-06T23:12:18.953175Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:12:18.953175Z digest=sha256:873b186cd33d7edc8a21897acc380c26180c28687164569b08d5048f7fe910ac

Observation ad569163-ad8a-4d7d-87f1-466ebed15892 · inbound

Mid-Training with Self-Generated Data Improves Reinforcement Learning in Language Models cites this paper.

Mid-Training with Self-Generated Data Improves Reinforcement Learning in Language Models TarGEN: Targeted Data Generation with Large Language Models

Reference 13

Resolution
verified exact
arxiv_id, observed 2026-05-12T08:26:23.317202Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-12T01:11:50.343466Z digest=sha256:e25328ab401279e321595aa3f1543f70fd1dc775d68b3dcacde062d351f59565

Observation 56df01c4-ac33-4ec1-936d-f2500890c83c · inbound

Evolving and Detecting Multi-Turn Deception using Geometric Signatures cites this paper.

Evolving and Detecting Multi-Turn Deception using Geometric Signatures TarGEN: Targeted Data Generation with Large Language Models

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-06-29T15:23:32.687191Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-06-29T15:17:58.804973Z digest=sha256:a6dfa6eaa37305fcf55f247882dfd16584b5e2f3f6721edd14bae011f1ba9269

Observation 2331aff1-d1d6-46dc-9869-f14bac8fd243 · inbound

Cognivia: A Cognitive Behavioral Therapy Copilot for Evidence-Based Mental Healthcare cites this paper.

Cognivia: A Cognitive Behavioral Therapy Copilot for Evidence-Based Mental Healthcare TarGEN: Targeted Data Generation with Large Language Models

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-01T01:53:07.092664Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T01:53:07.092664Z digest=sha256:7ee5e2f535fa3700fd33cd93506d7a1b4ee8a42f43b743ffb91115218ca3d747