Paper Citation Record · LEDGER

LLM for Barcodes: Generating Diverse Synthetic Data for Identity Documents

As of 19 August 2026, this Paper Citation Record lists 14 of 14 outbound references and 6 inbound Pith citation observations for arXiv:2411.14962.

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

pith.paper-citation-record.v1
2411.14962 v2

Coverage vector

measured 14 of 14 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T14:42:38.795950Z

measured 20 of 20 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T10:55:55.433489Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T11:35:20.143987Z

Reference resolution

14 of 14 outbound references displayed

verified exact0
verified fuzzy0
unresolved14
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 347062f6-6383-4632-a0ee-3a14b2c913ab · outbound

This paper cites an unresolved cited work.

LLM for Barcodes: Generating Diverse Synthetic Data for Identity Documents Unresolved cited work

Reference 1

Resolution: unresolved; raw_fallback, observed 2026-08-12T14:42:38.911148Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 95140dda-848d-4f73-8e6b-dae6a8d51bc7 · outbound

This paper cites Scaling Synthetic Data Creation with 1,000,000,000 Personas.

LLM for Barcodes: Generating Diverse Synthetic Data for Identity Documents Scaling Synthetic Data Creation with 1,000,000,000 Personas

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-12T14:42:38.756740Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c759f35b-552c-4127-b861-e1b97285a514 · outbound

This paper cites TarGEN: Targeted Data Generation with Large Language Models.

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.

Observation e755e35e-11bf-4372-81ae-9360ed4d9953 · outbound

This paper cites On LLMs-Driven Synthetic Data Generation, Curation, and Evaluation: A Survey.

LLM for Barcodes: Generating Diverse Synthetic Data for Identity Documents On LLMs-Driven Synthetic Data Generation, Curation, and Evaluation: A Survey

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-12T14:42:38.763716Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

This paper cites DataDreamer: A Tool for Synthetic Data Generation and Reproducible LLM Workflows.

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.

Observation b0c03680-1523-4f3b-a32d-251a3da0f0bc · outbound

This paper cites an unresolved cited work.

LLM for Barcodes: Generating Diverse Synthetic Data for Identity Documents Unresolved cited work

Reference 6

Resolution: unresolved; raw_fallback, observed 2026-08-12T14:42:38.902416Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation fa89a3bc-dcf5-4a09-9a37-7980485997d7 · outbound

This paper cites You Only Look Once: Unified, Real-Time Object Detection.

LLM for Barcodes: Generating Diverse Synthetic Data for Identity Documents You Only Look Once: Unified, Real-Time Object Detection

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-12T14:42:38.774324Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 25838629-cfb2-4bf0-9739-b3f4d598d55d · outbound

This paper cites Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks.

LLM for Barcodes: Generating Diverse Synthetic Data for Identity Documents Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-12T14:42:38.777500Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 98c9a7f7-df07-4ece-9738-332c3d7ea8f7 · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

LLM for Barcodes: Generating Diverse Synthetic Data for Identity Documents LLaMA: Open and Efficient Foundation Language Models

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-12T14:42:38.780545Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b813d307-d972-4f8c-9044-4688bd51b940 · outbound

This paper cites an unresolved cited work.

LLM for Barcodes: Generating Diverse Synthetic Data for Identity Documents Unresolved cited work

Reference 10

Resolution: unresolved; raw_fallback, observed 2026-08-12T14:42:38.893642Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation bbeeccdb-f441-4a2b-b1c3-caf69fb98042 · outbound

This paper cites Generating Faithful Synthetic Data with Large Language Models: A Case Study in Computational Social Science.

LLM for Barcodes: Generating Diverse Synthetic Data for Identity Documents Generating Faithful Synthetic Data with Large Language Models: A Case Study in Computational Social Science

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-12T14:42:38.786370Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5aceeded-0cff-4228-8965-0ae3c6665ff0 · outbound

This paper cites an unresolved cited work.

LLM for Barcodes: Generating Diverse Synthetic Data for Identity Documents Unresolved cited work

Reference 12

Resolution: unresolved; raw_fallback, observed 2026-08-12T14:42:38.884579Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 00242bf2-f0f4-493e-8f16-78aca21cd24d · outbound

This paper cites , " * write output.state after.block = add.period write newline.

LLM for Barcodes: Generating Diverse Synthetic Data for Identity Documents , " * write output.state after.block = add.period write newline

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-12T14:42:38.792979Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 40ceeb93-4677-41e1-aab6-72c18fe30306 · outbound

This paper cites write newline.

LLM for Barcodes: Generating Diverse Synthetic Data for Identity Documents write newline

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-12T14:42:38.795950Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 178b0e90-41e7-4424-af7b-397c88de6007 · inbound

MVTamperBench: Evaluating Robustness of Vision-Language Models cites this paper.

MVTamperBench: Evaluating Robustness of Vision-Language Models LLM for Barcodes: Generating Diverse Synthetic Data for Identity Documents

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-10T23:55:17.565569Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 412854b0-f140-45fb-8700-23ba039ec514 · inbound

Tokenization Matters: Improving Zero-Shot NER for Indic Languages cites this paper.

Tokenization Matters: Improving Zero-Shot NER for Indic Languages LLM for Barcodes: Generating Diverse Synthetic Data for Identity Documents

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-16T10:55:55.433489Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b52a48f3-7d90-42a4-a53f-80ae4217600b · inbound

SweEval: Do LLMs Really Swear? A Safety Benchmark for Testing Limits for Enterprise Use cites this paper.

SweEval: Do LLMs Really Swear? A Safety Benchmark for Testing Limits for Enterprise Use LLM for Barcodes: Generating Diverse Synthetic Data for Identity Documents

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-07T14:52:29.517727Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6c1eb3ff-8e7d-4730-abf0-90c064a97345 · inbound

Hard Negative Mining for Domain-Specific Retrieval in Enterprise Systems cites this paper.

Hard Negative Mining for Domain-Specific Retrieval in Enterprise Systems LLM for Barcodes: Generating Diverse Synthetic Data for Identity Documents

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-07T14:36:12.948453Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2b2ec104-148a-42dd-bada-849541bb8abe · inbound

Hybrid AI for Responsive Multi-Turn Online Conversations with Novel Dynamic Routing and Feedback Adaptation cites this paper.

Hybrid AI for Responsive Multi-Turn Online Conversations with Novel Dynamic Routing and Feedback Adaptation LLM for Barcodes: Generating Diverse Synthetic Data for Identity Documents

Reference 25

Resolution: verified exact; local_arxiv, observed 2026-08-07T11:35:20.220200Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation c50c9f65-2090-4573-b15b-f1aa2c8da4ab · inbound

Less is Enough: Synthesizing Diverse Data in LLM Feature Space with Sparse Autoencoders cites this paper.

Less is Enough: Synthesizing Diverse Data in LLM Feature Space with Sparse Autoencoders LLM for Barcodes: Generating Diverse Synthetic Data for Identity Documents

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-03T01:17:11.727598Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.