Paper Citation Record · LEDGER

Large Language Models can accomplish Business Process Management Tasks

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2307.09923.

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

pith.paper-citation-record.v1
2307.09923 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T18:31:58.739825Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T01:57:32.125871Z

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 213e5358-1108-48b5-b113-ac80d7bcc349 · inbound

Can LLMs Reliably Simulate Real Students' Abilities in Mathematics and Reading Comprehension? cites this paper.

Can LLMs Reliably Simulate Real Students' Abilities in Mathematics and Reading Comprehension? Large Language Models can accomplish Business Process Management Tasks

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-06T18:31:58.739825Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1918055f-8c49-42d3-81a4-244a30578bcb · 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 Large Language Models can accomplish Business Process Management Tasks

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-06T17:12:43.041421Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e3b06742-bbfb-4de6-85df-9d4500532217 · inbound

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

Assessing the Business Process Modeling Competences of Large Language Models Large Language Models can accomplish Business Process Management Tasks

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-03T06:54:51.763452Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 35d563e9-34b2-461f-a1c3-9a726d6a58e3 · inbound

Compiling Agentic Workflows into LLM Weights: Near-Frontier Quality at Two Orders of Magnitude Less Cost cites this paper.

Compiling Agentic Workflows into LLM Weights: Near-Frontier Quality at Two Orders of Magnitude Less Cost Large Language Models can accomplish Business Process Management Tasks

Reference 75

Resolution: verified exact; arxiv_id, observed 2026-05-22T06:31:10.390305Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 68f06f72-3bf8-4058-aed5-bb36cdddd802 · inbound

LLM-Orchestrated Conformance Checking in Stroke Care Without Computer-Interpretable Guidelines cites this paper.

LLM-Orchestrated Conformance Checking in Stroke Care Without Computer-Interpretable Guidelines Large Language Models can accomplish Business Process Management Tasks

Reference 12

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T01:57:32.127580Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation a66fb72b-340f-49ff-b6be-ad23ffb4a481 · inbound

Procedural Knowledge Is Not Low-Rank: Why LoRA Fails to Internalize Multi-Step Procedures cites this paper.

Procedural Knowledge Is Not Low-Rank: Why LoRA Fails to Internalize Multi-Step Procedures Large Language Models can accomplish Business Process Management Tasks

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-02T13:17:09.496563Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.