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Paper Citation Record · LEDGER

Leveraging Large Language Models (LLMs) for Process Mining (Technical Report)

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2307.12701.

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

pith.paper-citation-record.v1
2307.12701 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T06:54:51.917589Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-22T13:46:37.240140Z

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 a8208533-0477-4cb3-9139-b48e6e847dde · inbound

A Blueprint for AI-Driven Software Quality: Integrating LLMs with Established Standards cites this paper.

A Blueprint for AI-Driven Software Quality: Integrating LLMs with Established Standards Leveraging Large Language Models (LLMs) for Process Mining (Technical Report)

Reference 213

Resolution
verified exact
arxiv_id, observed 2026-05-22T13:46:37.242637Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-22T13:45:28.789452Z digest=sha256:ed1b44b0d55c3a71ae366ff83ab8b70283b2d3c69d5363f5c84011c5871c7201

Observation 7a7183c5-ecd3-48af-abaa-64ba1f8e15a8 · inbound

Assessing the Business Process Modeling Competences of Large Language Models cites this paper.

Assessing the Business Process Modeling Competences of Large Language Models Leveraging Large Language Models (LLMs) for Process Mining (Technical Report)

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-03T06:54:51.917589Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T06:54:51.917589Z digest=sha256:1ae0ac6276d78f167c5cccf9740a3941a42e4925c2351bf78f9bd7831ee4000b