Paper Citation Record · LEDGER

Leveraging GPT-4o Efficiency for Detecting Rework Anomaly in Business Processes

As of 20 August 2026, this Paper Citation Record lists 33 of 33 outbound references and 0 inbound Pith citation observations for arXiv:2502.06918.

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

pith.paper-citation-record.v1
2502.06918 v1

Coverage vector

measured 33 of 33 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-08T15:05:59.985922Z

measured 33 of 33 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

33 of 33 outbound references displayed

verified exact7
verified fuzzy16
unresolved10
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 8c8e1840-3c6f-4d34-803f-95f02a02f39e · outbound

This paper cites Hello gpt-4,.

Leveraging GPT-4o Efficiency for Detecting Rework Anomaly in Business Processes Hello gpt-4,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T15:06:00.698019Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 14759260-7d64-4587-b548-044edf3d9c09 · outbound

This paper cites M., Oyamada, R.

Leveraging GPT-4o Efficiency for Detecting Rework Anomaly in Business Processes M., Oyamada, R

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-08T15:05:59.872995Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 160bd3fe-4921-4aed-974b-6ed8fa21fe79 · outbound

This paper cites A Systematic Survey of Prompt Engineering in Large Language Models: Techniques and Applications.

Leveraging GPT-4o Efficiency for Detecting Rework Anomaly in Business Processes A Systematic Survey of Prompt Engineering in Large Language Models: Techniques and Applications

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-08T15:05:59.877152Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5106a08a-9a3e-4b55-a1c7-184d4ce8f6fd · outbound

This paper cites OCEL (Object-Centric Event Log) 2.0 Specification.

Leveraging GPT-4o Efficiency for Detecting Rework Anomaly in Business Processes OCEL (Object-Centric Event Log) 2.0 Specification

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-08T15:05:59.881837Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c4bd973c-287f-46ad-b78a-111eaca21b6e · outbound

This paper cites LangChain.

Leveraging GPT-4o Efficiency for Detecting Rework Anomaly in Business Processes LangChain

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-08T15:05:59.886446Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f5fe3e36-437c-4ab2-96d7-75bd1faabd97 · outbound

This paper cites Detecting Anomalous Events in Object-centric Business Processes via Graph Neural Networks.

Leveraging GPT-4o Efficiency for Detecting Rework Anomaly in Business Processes Detecting Anomalous Events in Object-centric Business Processes via Graph Neural Networks

Reference 6

Resolution: verified exact; local_arxiv, observed 2026-08-08T15:06:00.169086Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation a8562250-ddbc-43e1-b4aa-30e6ecd2db43 · outbound

This paper cites & Sungkono, K.R.

Leveraging GPT-4o Efficiency for Detecting Rework Anomaly in Business Processes & Sungkono, K.R

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-08T15:05:59.895118Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 34550f08-9589-4dc4-a240-825a24552298 · outbound

This paper cites an unresolved cited work.

Leveraging GPT-4o Efficiency for Detecting Rework Anomaly in Business Processes Unresolved cited work

Reference 8

Resolution: verified exact; doi, observed 2026-08-08T15:06:00.145792Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 033bc282-6b20-418e-84fb-39a5fd16b17d · outbound

This paper cites an unresolved cited work.

Leveraging GPT-4o Efficiency for Detecting Rework Anomaly in Business Processes Unresolved cited work

Reference 9

Resolution: verified exact; doi, observed 2026-08-08T15:06:00.133798Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation a3ac903c-7f15-46ef-b4c0-63c5ab4a16e4 · outbound

This paper cites an unresolved cited work.

Leveraging GPT-4o Efficiency for Detecting Rework Anomaly in Business Processes Unresolved cited work

Reference 10

Resolution: unresolved; raw_fallback, observed 2026-08-08T15:06:00.688051Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 1b8be102-a248-448c-864d-abb3f38eb1be · outbound

This paper cites Large Language Models as General Pattern Machines.

Leveraging GPT-4o Efficiency for Detecting Rework Anomaly in Business Processes Large Language Models as General Pattern Machines

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-08T15:05:59.909875Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 930ece6c-fd72-483e-b568-4f03ae184834 · outbound

This paper cites An Intelligent LLM-Powered Personalized Assistant for Digital Banking Using LangGraph and Chain of Thoughts.

Leveraging GPT-4o Efficiency for Detecting Rework Anomaly in Business Processes An Intelligent LLM-Powered Personalized Assistant for Digital Banking Using LangGraph and Chain of Thoughts

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T15:06:00.678222Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation ccc1335d-e1c5-443a-94d5-c859592f60b6 · outbound

This paper cites Few-Shot Prompting: Comparison and Examples.

Leveraging GPT-4o Efficiency for Detecting Rework Anomaly in Business Processes Few-Shot Prompting: Comparison and Examples

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T15:06:00.667910Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 1ff5a7e9-1d86-4565-b602-56c8325dab8b · outbound

This paper cites Understanding Tokens https://learn.microsoft.com/en-us/ dotnet/ai/conceptual/understanding-tokens.

Leveraging GPT-4o Efficiency for Detecting Rework Anomaly in Business Processes Understanding Tokens https://learn.microsoft.com/en-us/ dotnet/ai/conceptual/understanding-tokens

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T15:06:00.657731Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 0672506d-6f41-47d5-a676-bb5ea3301d75 · outbound

This paper cites (2024, October 6).https://en.wikipedia.org/wiki/GPT-4o.

Leveraging GPT-4o Efficiency for Detecting Rework Anomaly in Business Processes (2024, October 6).https://en.wikipedia.org/wiki/GPT-4o

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T15:06:00.647904Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 8acee927-18eb-42ba-8d9e-4e85e3487514 · outbound

This paper cites an unresolved cited work.

Leveraging GPT-4o Efficiency for Detecting Rework Anomaly in Business Processes Unresolved cited work

Reference 16

Resolution: verified exact; doi, observed 2026-08-08T15:06:00.040731Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation cca0b161-90ee-4755-9cf7-d7bf782c95c9 · outbound

This paper cites an unresolved cited work.

Leveraging GPT-4o Efficiency for Detecting Rework Anomaly in Business Processes Unresolved cited work

Reference 17

Resolution: verified exact; doi, observed 2026-08-08T15:06:00.029847Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 4cb9b51f-a5c9-48cd-8264-f28760e25bd0 · outbound

This paper cites an unresolved cited work.

Leveraging GPT-4o Efficiency for Detecting Rework Anomaly in Business Processes Unresolved cited work

Reference 18

Resolution: verified exact; doi, observed 2026-08-08T15:06:00.017444Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 8b8e886e-e40c-48b3-9349-4568f4f42395 · outbound

This paper cites Challenges of Anomaly Detection in the Object-Centric Setting: Dimensions and the Role of Domain Knowledge.

Leveraging GPT-4o Efficiency for Detecting Rework Anomaly in Business Processes Challenges of Anomaly Detection in the Object-Centric Setting: Dimensions and the Role of Domain Knowledge

Reference 19

Resolution: verified exact; local_arxiv, observed 2026-08-08T15:06:00.322593Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation bcb2f6e5-d5f1-47a6-a79d-8730312585b8 · outbound

This paper cites Derakhshan, et al.

Leveraging GPT-4o Efficiency for Detecting Rework Anomaly in Business Processes Derakhshan, et al

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T15:06:00.637730Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation fa53d101-c41a-41a9-821d-9a42a4e6f0d5 · outbound

This paper cites Multi-perspective anomaly detection in business process execution events.

Leveraging GPT-4o Efficiency for Detecting Rework Anomaly in Business Processes Multi-perspective anomaly detection in business process execution events

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T15:06:00.628085Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 90d5d126-83f3-448c-9aa6-a2839e4889d9 · outbound

This paper cites BINet: multivariate busi- ness process anomaly detection using deep learning.

Leveraging GPT-4o Efficiency for Detecting Rework Anomaly in Business Processes BINet: multivariate busi- ness process anomaly detection using deep learning

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T15:06:00.617923Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 6580d8eb-ae12-452d-a592-ae60cbeac9f6 · outbound

This paper cites Correlation and pattern detection in event networks.

Leveraging GPT-4o Efficiency for Detecting Rework Anomaly in Business Processes Correlation and pattern detection in event networks

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T15:06:00.607429Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 6780e748-08be-4171-b9d5-dad9bf1c3af0 · outbound

This paper cites an unresolved cited work.

Leveraging GPT-4o Efficiency for Detecting Rework Anomaly in Business Processes Unresolved cited work

Reference 24

Resolution: unresolved; raw_fallback, observed 2026-08-08T15:06:00.597409Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 8ed8f68f-a7ec-414e-a211-3fde70bb9cb5 · outbound

This paper cites J., Ceravolo, P., Damiani, E., Omori, N.

Leveraging GPT-4o Efficiency for Detecting Rework Anomaly in Business Processes J., Ceravolo, P., Damiani, E., Omori, N

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-08T15:05:59.962168Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a595e81e-e2b5-4c72-a2bd-3cf56d0b186a · outbound

This paper cites Are Large Lan- guage Models the New Interface for Data Pipelines?.

Leveraging GPT-4o Efficiency for Detecting Rework Anomaly in Business Processes Are Large Lan- guage Models the New Interface for Data Pipelines?

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T15:06:00.587217Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation e3d4bf01-686b-4217-8b42-47394d57d55a · outbound

This paper cites Tuning Machine Learning to Address Process Mining Requirements.

Leveraging GPT-4o Efficiency for Detecting Rework Anomaly in Business Processes Tuning Machine Learning to Address Process Mining Requirements

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T15:06:00.577066Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation d076e086-3f69-41fb-81a5-6f715941893f · outbound

This paper cites Con- formance checking: a state-of-the-art literature review.

Leveraging GPT-4o Efficiency for Detecting Rework Anomaly in Business Processes Con- formance checking: a state-of-the-art literature review

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T15:06:00.566937Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 93240605-655c-427f-a479-1facabfee88b · outbound

This paper cites Conformance checking: foundations, milestones and challenges.

Leveraging GPT-4o Efficiency for Detecting Rework Anomaly in Business Processes Conformance checking: foundations, milestones and challenges

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T15:06:00.557362Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 30d52446-ccdf-4df5-b31b-8a546596a06a · outbound

This paper cites Global confor- mance checking measures using shallow representation and deep learning.

Leveraging GPT-4o Efficiency for Detecting Rework Anomaly in Business Processes Global confor- mance checking measures using shallow representation and deep learning

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T15:06:00.547153Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation d2980e88-d8ee-4b35-9068-367037c865f4 · outbound

This paper cites A multi-view deep learning approach for predictive business process mon- itoring.

Leveraging GPT-4o Efficiency for Detecting Rework Anomaly in Business Processes A multi-view deep learning approach for predictive business process mon- itoring

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T15:06:00.536291Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 9965b2f8-ab48-4cc9-976d-933da049fd77 · outbound

This paper cites Tuning Machine Learning to Address Process Mining Requirements.

Leveraging GPT-4o Efficiency for Detecting Rework Anomaly in Business Processes Tuning Machine Learning to Address Process Mining Requirements

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T15:06:00.524680Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation eea981a4-6ec8-478a-ad5d-3d4aaf027548 · outbound

This paper cites an unresolved cited work.

Leveraging GPT-4o Efficiency for Detecting Rework Anomaly in Business Processes Unresolved cited work

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-08T15:05:59.985922Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.