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Paper Citation Record · LEDGER

Leveraging Generative AI for Extracting Process Models from Multimodal Documents

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2406.04959.

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

pith.paper-citation-record.v1
2406.04959 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 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 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T17:12:44.047558Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T10:06:01.208822Z

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 be1a3b3e-2b19-4079-89ab-f913187afb4a · 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 Leveraging Generative AI for Extracting Process Models from Multimodal Documents

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-06T17:12:44.047558Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:12:44.047558Z digest=sha256:1bb59763f5782494352ee05c33e94dc46fa2788d4da9aa6d6ab60ef189fa1b52

Observation 08bdc720-9b9e-4a29-b498-daff9c7054e0 · inbound

Automatic Generation of Executable BPMN Models from Medical Guidelines cites this paper.

Automatic Generation of Executable BPMN Models from Medical Guidelines Leveraging Generative AI for Extracting Process Models from Multimodal Documents

Reference 22

Resolution
verified exact
arxiv_id, observed 2026-05-11T05:51:02.520526Z

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.

source=pdf_text observed=2026-05-10T17:55:52.809862Z digest=sha256:cc992d182ca95bbaa03654a2c37cf8ee37779441e7b4588c6fc76452a666278b

Observation 2cfd2a1c-26be-40c0-a06f-5d3ec2a1514d · 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 Leveraging Generative AI for Extracting Process Models from Multimodal Documents

Reference 24

Resolution
verified exact
arxiv_id, observed 2026-05-11T10:06:01.212818Z

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.

source=pdf_text observed=2026-05-10T15:40:21.753343Z digest=sha256:ed19372ebafb91023def68455ef789efb8185d9ee342e9c018723c707050ac4a