Paper Citation Record · LEDGER

Enhancing Document AI Data Generation Through Graph-Based Synthetic Layouts

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2412.03590.

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

pith.paper-citation-record.v1
2412.03590 v1

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 2026-08-07T14:52:27.217122Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-04T23:49:32.709426Z

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 6ee05890-3ee7-49f1-ac40-767856edd6ea · 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 Enhancing Document AI Data Generation Through Graph-Based Synthetic Layouts

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-07T14:52:27.217122Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 32327ea2-5002-46f5-af25-c767c4c7a7e1 · inbound

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

Hard Negative Mining for Domain-Specific Retrieval in Enterprise Systems Enhancing Document AI Data Generation Through Graph-Based Synthetic Layouts

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-07T14:36:09.809386Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 90c43477-57c2-4a16-a763-f7e47e465691 · 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 Enhancing Document AI Data Generation Through Graph-Based Synthetic Layouts

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-07T11:35:15.145388Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dee9b8c4-157d-4e70-894b-3fc0c29b6624 · inbound

MaaSO: SLO-aware Orchestration of Heterogeneous Model Instances for MaaS cites this paper.

MaaSO: SLO-aware Orchestration of Heterogeneous Model Instances for MaaS Enhancing Document AI Data Generation Through Graph-Based Synthetic Layouts

Reference 9

Resolution: verified exact; local_arxiv, observed 2026-08-04T23:49:32.788744Z

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.