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Paper Citation Record · LEDGER

Bridging Domain Knowledge and Process Discovery Using Large Language Models

As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2408.17316.

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

pith.paper-citation-record.v1
2408.17316 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 2026-08-16T06:30:59.297886+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T05:18:08.550235Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-13T00:16:21.800782Z

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 9248083e-1e3f-440b-815a-6c2a095f30f2 · inbound

Evaluating Large Language Models on Business Process Modeling: Framework, Benchmark, and Self-Improvement Analysis cites this paper.

Evaluating Large Language Models on Business Process Modeling: Framework, Benchmark, and Self-Improvement Analysis Bridging Domain Knowledge and Process Discovery Using Large Language Models

Reference 19

Resolution
metadata mismatch
local_arxiv, observed 2026-08-12T19:07:29.256409Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-12T19:07:29.079479Z digest=sha256:fbc9c58d7958a265844057b2aba28fc92de1e132b1ac77dae3a91545fae39dde

Observation bd4aa957-ba30-4174-890b-41a76af1d8d6 · inbound

On the Potential of Large Language Models to Solve Semantics-Aware Process Mining Tasks cites this paper.

On the Potential of Large Language Models to Solve Semantics-Aware Process Mining Tasks Bridging Domain Knowledge and Process Discovery Using Large Language Models

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-16T05:18:08.550235Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:18:08.550235Z digest=sha256:23841af2c5567be98a96a803156485dd772f6b2a30cdf346f9c61469a2d45cb4