Pith. sign in

Paper Citation Record · LEDGER

Towards a Benchmark for Large Language Models for Business Process Management Tasks

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2410.03255.

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

pith.paper-citation-record.v1
2410.03255 v2

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 2026-08-16T06:30:59.297886+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T05:18:08.728411Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-18T15:36:34.360985Z

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 db1a36e2-7208-41ae-b03e-17dc35df21e9 · 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 Towards a Benchmark for Large Language Models for Business Process Management Tasks

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-16T05:18:08.728411Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:18:08.728411Z digest=sha256:01626b588a492d78121cead701331504aeb72444d741d16e8e0493bbdda42fd2

Observation e731854c-6a10-4bcc-84f5-0027336e20e9 · inbound

Knowledge-Driven Hallucination in Large Language Models: An Empirical Study on Process Modeling cites this paper.

Knowledge-Driven Hallucination in Large Language Models: An Empirical Study on Process Modeling Towards a Benchmark for Large Language Models for Business Process Management Tasks

Reference 6

Resolution
verified exact
arxiv_id, observed 2026-05-18T15:36:34.363742Z

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=2026-05-18T15:33:29.016355Z digest=sha256:090007eb5c2028ed3cd1377ce7c0fe4794c7d5b55605249fb20e9dc210f692e5

Observation 8c51e9ac-6359-45ff-acd9-0a3830080a94 · inbound

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

Assessing the Business Process Modeling Competences of Large Language Models Towards a Benchmark for Large Language Models for Business Process Management Tasks

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-03T06:54:51.964155Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T06:54:51.964155Z digest=sha256:df626853e59ae346a79cea4784f3166d79d0b2a5bc0088fd66f9eeb24e831d4c