Pith. sign in

Paper Citation Record · LEDGER

DataDreamer: A Tool for Synthetic Data Generation and Reproducible LLM Workflows

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2402.10379.

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

pith.paper-citation-record.v1
2402.10379 v2

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 2026-08-17T06:30:58.91139+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T04:15:38.351511Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

4
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 7c07bb73-b6f6-4ad6-bce5-024e5cfd8cde · inbound

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

LLM for Barcodes: Generating Diverse Synthetic Data for Identity Documents DataDreamer: A Tool for Synthetic Data Generation and Reproducible LLM Workflows

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-12T14:42:38.767735Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T14:42:38.767735Z digest=sha256:81a65feb09f0c763dcdfc73a59039f94190bf2af84a998204714903d96f55b61

Observation 1cdd079b-9d52-4a0f-8508-4a4a57a6cc9c · inbound

LLMs can be easily Confused by Instructional Distractions cites this paper.

LLMs can be easily Confused by Instructional Distractions DataDreamer: A Tool for Synthetic Data Generation and Reproducible LLM Workflows

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-09T10:50:12.456777Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T10:50:12.456777Z digest=sha256:535261d2fa76b6a30c65574aa244c515ba7c3e977e1d700a3acae4d53290eac1

Observation 62f028f5-d458-44f7-bf3d-1b5cb12b16f9 · inbound

An LLM-Empowered Low-Resolution Vision System for On-Device Human Behavior Understanding cites this paper.

An LLM-Empowered Low-Resolution Vision System for On-Device Human Behavior Understanding DataDreamer: A Tool for Synthetic Data Generation and Reproducible LLM Workflows

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-16T04:15:38.351511Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:15:38.351511Z digest=sha256:d948c18c6fdbecb51751dff875764072ef6edb2efc02a3116eab60e9ac3a1224

Observation 0d177d54-1935-4f31-9909-7737b8546399 · inbound

Unlocking the Potential of Large Language Models in the Nuclear Industry with Synthetic Data cites this paper.

Unlocking the Potential of Large Language Models in the Nuclear Industry with Synthetic Data DataDreamer: A Tool for Synthetic Data Generation and Reproducible LLM Workflows

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-07T05:05:37.446229Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:05:37.446229Z digest=sha256:d704c789b15a87ac6650d00b3fdba04aaf351108dcde24fe12fd49a1fded0ca2

Observation cfdf6b95-24bb-4510-832c-a32450c7d7f0 · inbound

Context-Instrumental Data Distillation for Kubernetes Manifest Generation: Method and Experimental Evaluation cites this paper.

Context-Instrumental Data Distillation for Kubernetes Manifest Generation: Method and Experimental Evaluation DataDreamer: A Tool for Synthetic Data Generation and Reproducible LLM Workflows

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-06-29T23:14:00.956922Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-06-29T23:07:08.124993Z digest=sha256:541fce7fddb298f0719271c682f8f30e384ca1a18ce158a381aa969851d4e144