Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Process Extraction from Text: Benchmarking the State of the Art and Paving the Way for Future Challenges
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2110.03754.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-06T18:27:19.343269Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-11T10:06:01.200947Z
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 86fd1140-6912-49d1-9126-273c5ced8a0d · inbound
Leveraging Machine Learning and Enhanced Parallelism Detection for BPMN Model Generation from Text cites this paper.
Leveraging Machine Learning and Enhanced Parallelism Detection for BPMN Model Generation from Text Process Extraction from Text: Benchmarking the State of the Art and Paving the Way for Future Challenges
Reference 6
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T18:27:19.343269Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b5cd3d54-5ea2-400b-9c7c-690d41685c03 · inbound
Automatic Generation of Executable BPMN Models from Medical Guidelines cites this paper.
Automatic Generation of Executable BPMN Models from Medical Guidelines Process Extraction from Text: Benchmarking the State of the Art and Paving the Way for Future Challenges
Reference 1
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-11T05:51:02.545948Z
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 205d4225-653b-4196-9a8a-015840b09abc · 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 Process Extraction from Text: Benchmarking the State of the Art and Paving the Way for Future Challenges
Reference 3
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T10:06:01.204827Z
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.