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Paper Citation Record · LEDGER

LLM for Barcodes: Generating Diverse Synthetic Data for Identity Documents

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 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 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 2026-08-09T06:31:02.800959+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:52:29.517727Z

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

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 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.

source=arxiv_source observed=2026-08-07T14:52:29.517727Z digest=sha256:978b36317872a7f225de36a48bfec091c56c3d983c0780938b94e29ccbcfdf20

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.

source=arxiv_source observed=2026-08-07T14:36:12.948453Z digest=sha256:278d6048bc2ff4dddb34045442dcd712c648c58e6013b90d022ae44339f735a2

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-07T11:35:16.880161Z digest=sha256:aab4d34208f102a2b80f1273a8d5bffc0b68fe8dd2800c1699173d033ab20d16

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.

source=pdf_text observed=2026-08-03T01:17:11.727598Z digest=sha256:a33a42391875724bb4b6906692d7003b56ce5cf99c7a86d70a3286bb5475382a