Paper Citation Record · LEDGER

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

As of 16 August 2026, this Paper Citation Record lists 44 of 44 outbound references and 5 inbound Pith citation observations for arXiv:2412.00023.

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

pith.paper-citation-record.v1
2412.00023 v1

Coverage vector

measured 44 of 44 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T19:07:29.155194Z

measured 49 of 49 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 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T05:18:08.733794Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-18T15:36:34.382460Z

Reference resolution

44 of 44 outbound references displayed

verified exact7
verified fuzzy9
unresolved14
parse uncertain0
malformed identifier11
metadata mismatch3

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 16958f8e-f29b-4ee7-8ce8-d700d26f5e4c · outbound

This paper cites In: Rosing, M., Scheel, H., Scheer, A.

Evaluating Large Language Models on Business Process Modeling: Framework, Benchmark, and Self-Improvement Analysis In: Rosing, M., Scheel, H., Scheer, A

Reference 1

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Observation 57edca8f-5ba7-474b-89ed-b1e623a09dce · outbound

This paper cites an unresolved cited work.

Evaluating Large Language Models on Business Process Modeling: Framework, Benchmark, and Self-Improvement Analysis Unresolved cited work

Reference 2

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Observation adcf39c3-104c-48dd-be4b-a86660c1a9fe · outbound

This paper cites GPT-4 Technical Report.

Evaluating Large Language Models on Business Process Modeling: Framework, Benchmark, and Self-Improvement Analysis GPT-4 Technical Report

Reference 3

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Observation 9865c275-cb76-4d8a-a262-2639d83156cb · outbound

This paper cites Gemini: A Family of Highly Capable Multimodal Models.

Evaluating Large Language Models on Business Process Modeling: Framework, Benchmark, and Self-Improvement Analysis Gemini: A Family of Highly Capable Multimodal Models

Reference 4

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Observation a991ff22-2288-4e8a-bcd7-6b9633f5800f · outbound

This paper cites In: Zhou, Z.-H.

Evaluating Large Language Models on Business Process Modeling: Framework, Benchmark, and Self-Improvement Analysis In: Zhou, Z.-H

Reference 5

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Observation cfefa9dc-9127-464e-88ba-a8fb44eabe17 · outbound

This paper cites In: IEEE High Performance Extreme Computing Conference, 29 HPEC 2023, Boston, MA, USA, September 25-29, 2023, pp.

Evaluating Large Language Models on Business Process Modeling: Framework, Benchmark, and Self-Improvement Analysis In: IEEE High Performance Extreme Computing Conference, 29 HPEC 2023, Boston, MA, USA, September 25-29, 2023, pp

Reference 6

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Source-reported events for the cited work

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Observation 62601d32-439e-4cd3-be67-9fb95124b911 · outbound

This paper cites In: The Eleventh Interna- tional Conference on Learning Representations, ICLR 2023, Kigali, Rwanda, May 1-5, 2023.

Evaluating Large Language Models on Business Process Modeling: Framework, Benchmark, and Self-Improvement Analysis In: The Eleventh Interna- tional Conference on Learning Representations, ICLR 2023, Kigali, Rwanda, May 1-5, 2023

Reference 7

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Observation b4fd5dda-7cc1-4d6e-91a3-4e78959d08db · outbound

This paper cites In: van der Aa, H., Bork, D., Schmidt, R., Sturm, A.

Evaluating Large Language Models on Business Process Modeling: Framework, Benchmark, and Self-Improvement Analysis In: van der Aa, H., Bork, D., Schmidt, R., Sturm, A

Reference 8

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Observation 0a230b3c-be35-42c4-a4ae-f7b739c8c29a · outbound

This paper cites In: Francescomarino, C.D., Burattin, A., Janiesch, C., Sadiq, S.

Evaluating Large Language Models on Business Process Modeling: Framework, Benchmark, and Self-Improvement Analysis In: Francescomarino, C.D., Burattin, A., Janiesch, C., Sadiq, S

Reference 9

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Observation 0a0e391d-01a9-403f-bddb-2bbe43ea6b02 · outbound

This paper cites In: Betz, S.

Evaluating Large Language Models on Business Process Modeling: Framework, Benchmark, and Self-Improvement Analysis In: Betz, S

Reference 10

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Observation db79c4d1-3cdb-42d5-852f-7616558ea838 · outbound

This paper cites In: Vizzari, G., Palmonari, M., Orlandini, A.

Evaluating Large Language Models on Business Process Modeling: Framework, Benchmark, and Self-Improvement Analysis In: Vizzari, G., Palmonari, M., Orlandini, A

Reference 11

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Observation d5c42487-d6c4-4bb0-8846-f4b127086236 · outbound

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Evaluating Large Language Models on Business Process Modeling: Framework, Benchmark, and Self-Improvement Analysis Unresolved cited work

Reference 12

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Observation 46f91c3f-cf6c-4f75-a00e-8acd6bc408cd · outbound

This paper cites In: Mouratidis, H., Rolland, C.

Evaluating Large Language Models on Business Process Modeling: Framework, Benchmark, and Self-Improvement Analysis In: Mouratidis, H., Rolland, C

Reference 13

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Observation 1486cd51-1a20-4c35-9ddb-219e7332fab5 · outbound

This paper cites an unresolved cited work.

Evaluating Large Language Models on Business Process Modeling: Framework, Benchmark, and Self-Improvement Analysis Unresolved cited work

Reference 14

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Observation 92a18297-829b-4684-b63d-d2bbe2bc3bfe · outbound

This paper cites In: Syriani, E., Sahraoui, H.A., Lara, J., Abrah˜ ao, S.

Evaluating Large Language Models on Business Process Modeling: Framework, Benchmark, and Self-Improvement Analysis In: Syriani, E., Sahraoui, H.A., Lara, J., Abrah˜ ao, S

Reference 15

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Observation df43a4c3-7287-4e2c-9123-dda88db951b6 · outbound

This paper cites Springer, Germany (2011).

Evaluating Large Language Models on Business Process Modeling: Framework, Benchmark, and Self-Improvement Analysis Springer, Germany (2011)

Reference 16

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Observation 71d9f144-3019-429b-990d-5e1cf674fc68 · outbound

This paper cites In: van der Aa, H., Bork, D., Proper, H.A., Schmidt, R.

Evaluating Large Language Models on Business Process Modeling: Framework, Benchmark, and Self-Improvement Analysis In: van der Aa, H., Bork, D., Proper, H.A., Schmidt, R

Reference 17

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

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

This paper cites Bridging Domain Knowledge and Process Discovery Using Large Language Models.

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

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Observation ec2da79c-c3f7-4878-a008-ccbf33f785f0 · outbound

This paper cites Leveraging Large Language Models for Enhanced Process Model Comprehension.

Evaluating Large Language Models on Business Process Modeling: Framework, Benchmark, and Self-Improvement Analysis Leveraging Large Language Models for Enhanced Process Model Comprehension

Reference 20

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Observation 4e504651-6d5e-490d-ba82-f91b57e36aca · outbound

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Evaluating Large Language Models on Business Process Modeling: Framework, Benchmark, and Self-Improvement Analysis Unresolved cited work

Reference 21

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Evaluating Large Language Models on Business Process Modeling: Framework, Benchmark, and Self-Improvement Analysis In: Burstein, J., Doran, C., Solorio, T

Reference 22

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Observation 1275f103-8d97-4edc-9007-05b4cd560b5d · outbound

This paper cites Gesellschaft f¨ ur Informatik e.V.

Evaluating Large Language Models on Business Process Modeling: Framework, Benchmark, and Self-Improvement Analysis Gesellschaft f¨ ur Informatik e.V

Reference 23

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Observation 22f6346e-5331-43dd-a477-03b42f200c47 · outbound

This paper cites In: Francescomarino, C.D., Burattin, A., Janiesch, C., Sadiq, S.W.

Evaluating Large Language Models on Business Process Modeling: Framework, Benchmark, and Self-Improvement Analysis In: Francescomarino, C.D., Burattin, A., Janiesch, C., Sadiq, S.W

Reference 24

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Observation 7672b395-b558-4172-95c9-b639dc1b9873 · outbound

This paper cites LLM4PM: A case study on using Large Language Models for Process Modeling in Enterprise Organizations.

Evaluating Large Language Models on Business Process Modeling: Framework, Benchmark, and Self-Improvement Analysis LLM4PM: A case study on using Large Language Models for Process Modeling in Enterprise Organizations

Reference 25

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Evaluating Large Language Models on Business Process Modeling: Framework, Benchmark, and Self-Improvement Analysis In: Fahland, D., Jim´ enez-Ram ´ ırez, A., Kumar, A., Mendling, J., Pentland, B.T., Rinderle-Ma, S., Slaats, T., Versendaal, J., Weber, B., Weske, M., Winter, K

Reference 26

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Observation 82b7c4f0-40bc-4937-bdb5-f1acedcce17e · outbound

This paper cites In: Weerdt, J.D., Pufahl, L.

Evaluating Large Language Models on Business Process Modeling: Framework, Benchmark, and Self-Improvement Analysis In: Weerdt, J.D., Pufahl, L

Reference 27

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Observation 952c7684-68ed-406f-af27-beddb943713d · outbound

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Evaluating Large Language Models on Business Process Modeling: Framework, Benchmark, and Self-Improvement Analysis Unresolved cited work

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This paper cites PM-LLM-Benchmark: Evaluating Large Language Models on Process Mining Tasks.

Evaluating Large Language Models on Business Process Modeling: Framework, Benchmark, and Self-Improvement Analysis PM-LLM-Benchmark: Evaluating Large Language Models on Process Mining Tasks

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Evaluating Large Language Models on Business Process Modeling: Framework, Benchmark, and Self-Improvement Analysis Unresolved cited work

Reference 30

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Evaluating Large Language Models on Business Process Modeling: Framework, Benchmark, and Self-Improvement Analysis Unresolved cited work

Reference 31

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Observation 8d8b2bcf-407e-45a6-b606-cd394418ea00 · outbound

This paper cites In: 6th International Conference on Process Mining, ICPM 2024, Kgs.

Evaluating Large Language Models on Business Process Modeling: Framework, Benchmark, and Self-Improvement Analysis In: 6th International Conference on Process Mining, ICPM 2024, Kgs

Reference 32

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Evaluating Large Language Models on Business Process Modeling: Framework, Benchmark, and Self-Improvement Analysis A new Protocol for 1-2 Oblivious Transfer

Reference 33

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This paper cites Lecture Notes in Business Informa- tion Processing, vol.

Evaluating Large Language Models on Business Process Modeling: Framework, Benchmark, and Self-Improvement Analysis Lecture Notes in Business Informa- tion Processing, vol

Reference 34

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Observation fc8c597b-cf6c-4dfd-8c40-cd4508d65811 · outbound

This paper cites ExpertPrompting: Instructing Large Language Models to be Distinguished Experts.

Evaluating Large Language Models on Business Process Modeling: Framework, Benchmark, and Self-Improvement Analysis ExpertPrompting: Instructing Large Language Models to be Distinguished Experts

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Evaluating Large Language Models on Business Process Modeling: Framework, Benchmark, and Self-Improvement Analysis In: Pesquita, C., Skaf-Molli, H., Efthymiou, V., Kirrane, S., Ngonga, A., Collarana, D., Cerqueira, R., Alam, M., Trojahn, C., Hertling, S

Reference 36

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This paper cites Brown et al.: Language models are few-shot learners.

Evaluating Large Language Models on Business Process Modeling: Framework, Benchmark, and Self-Improvement Analysis Brown et al.: Language models are few-shot learners

Reference 37

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Evaluating Large Language Models on Business Process Modeling: Framework, Benchmark, and Self-Improvement Analysis In: Cabanillas, C., Garmann-Johnsen, N.F., Koschmider, A

Reference 38

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Evaluating Large Language Models on Business Process Modeling: Framework, Benchmark, and Self-Improvement Analysis Negative-prompt Inversion: Fast Image Inversion for Editing with Text-guided Diffusion Models

Reference 39

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Evaluating Large Language Models on Business Process Modeling: Framework, Benchmark, and Self-Improvement Analysis In: Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, IJCAI 2024, Jeju, South Korea, August 3-9, 2024, pp

Reference 40

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Evaluating Large Language Models on Business Process Modeling: Framework, Benchmark, and Self-Improvement Analysis In: van der Aalst, W.M.P., Bergenthum, R., Car- mona, J

Reference 41

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This paper cites In: Hull, R., Mendling, J., Tai, S.

Evaluating Large Language Models on Business Process Modeling: Framework, Benchmark, and Self-Improvement Analysis In: Hull, R., Mendling, J., Tai, S

Reference 42

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Observation c743cd02-9200-4371-9723-089e436a5c5b · outbound

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Evaluating Large Language Models on Business Process Modeling: Framework, Benchmark, and Self-Improvement Analysis Unresolved cited work

Reference 43

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Evaluating Large Language Models on Business Process Modeling: Framework, Benchmark, and Self-Improvement Analysis In: Ku, L., Martins, A., Srikumar, V

Reference 44

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Observation 2fbc6f5d-d503-4e3c-b350-cab8e0d63c34 · outbound

This paper cites The Good, The Bad, and The Greedy: Evaluation of LLMs Should Not Ignore Non-Determinism.

Evaluating Large Language Models on Business Process Modeling: Framework, Benchmark, and Self-Improvement Analysis The Good, The Bad, and The Greedy: Evaluation of LLMs Should Not Ignore Non-Determinism

Reference 45

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Pith citing papers

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

Reference 44

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

Reference 12

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Observation 8b8fb649-0c0d-4c54-92db-5f9375cb86e2 · 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 Evaluating Large Language Models on Business Process Modeling: Framework, Benchmark, and Self-Improvement Analysis

Reference 16

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

Assessing the Business Process Modeling Competences of Large Language Models Evaluating Large Language Models on Business Process Modeling: Framework, Benchmark, and Self-Improvement Analysis

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Beyond Generalist LLMs: Specialist Agentic Systems for Structured Code Workflow Execution cites this paper.

Beyond Generalist LLMs: Specialist Agentic Systems for Structured Code Workflow Execution Evaluating Large Language Models on Business Process Modeling: Framework, Benchmark, and Self-Improvement Analysis

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