Paper Citation Record · LEDGER

ProMoAI: Process Modeling with Generative AI

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2403.04327.

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

pith.paper-citation-record.v1
2403.04327 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 2026-08-10T06:31:04.303077+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T00:09:17.648017Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-22T15:44:58.073651Z

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 42c2770f-cde8-4546-bf74-ca5c4429402c · inbound

Conversational Process Model Redesign cites this paper.

Conversational Process Model Redesign ProMoAI: Process Modeling with Generative AI

Reference 43

Resolution: verified exact; arxiv_id, observed 2026-05-22T15:44:58.076111Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation cb839d49-0b94-4200-a494-cd17dcc63b1a · inbound

What is the Best Process Model Representation? A Comparative Analysis for Process Modeling with Large Language Models cites this paper.

What is the Best Process Model Representation? A Comparative Analysis for Process Modeling with Large Language Models ProMoAI: Process Modeling with Generative AI

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-06T17:12:43.654047Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2657b6bc-e380-4a85-a8c5-2d286eec7d52 · inbound

Automated BPMN Model Generation from Textual Process Descriptions: A Multi-Stage LLM-Driven Approach cites this paper.

Automated BPMN Model Generation from Textual Process Descriptions: A Multi-Stage LLM-Driven Approach ProMoAI: Process Modeling with Generative AI

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-05-11T10:06:01.188044Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 6a64ab5a-9a6f-48f9-a600-5fa0dbecbb15 · inbound

LLM-based Vulnerability Discovery in Business Process Documentation cites this paper.

LLM-based Vulnerability Discovery in Business Process Documentation ProMoAI: Process Modeling with Generative AI

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-08T00:09:17.648017Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.