Paper Citation Record · LEDGER

LLM-based Vulnerability Discovery in Business Process Documentation

As of 16 August 2026, this Paper Citation Record lists 23 of 23 outbound references and 0 inbound Pith citation observations for arXiv:2608.04271.

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

pith.paper-citation-record.v1
2608.04271 v1

Coverage vector

measured 23 of 23 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-08T00:09:17.777785Z

measured 23 of 23 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 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

23 of 23 outbound references displayed

verified exact2
verified fuzzy17
unresolved3
parse uncertain0
malformed identifier1
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 6ba7a4b3-50ae-4243-9d21-e537ac637df7 · outbound

This paper cites Finding contradictions in text.

LLM-based Vulnerability Discovery in Business Process Documentation Finding contradictions in text

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T00:09:18.426039Z

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.

Observation 6a64ab5a-9a6f-48f9-a600-5fa0dbecbb15 · outbound

This paper cites ProMoAI: Process Modeling with Generative AI.

LLM-based Vulnerability Discovery in Business Process Documentation ProMoAI: Process Modeling with Generative AI

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-08T00:09:17.648017Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b6c80e05-1946-41ac-8574-3b74840c5c02 · outbound

This paper cites MetaBPL: Fault Detection in Business Logic Systems.

LLM-based Vulnerability Discovery in Business Process Documentation MetaBPL: Fault Detection in Business Logic Systems

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T00:09:18.408472Z

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.

Observation 0dfbeb32-599d-438f-8d2f-69f4465a3640 · outbound

This paper cites Process model generation from natural language text.

LLM-based Vulnerability Discovery in Business Process Documentation Process model generation from natural language text

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T00:09:18.386027Z

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.

Observation 828cf218-42c3-46d6-ae98-535578adfca5 · outbound

This paper cites A qualitative analysis of the state of the art in pro- cess extraction from text.

LLM-based Vulnerability Discovery in Business Process Documentation A qualitative analysis of the state of the art in pro- cess extraction from text

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T00:09:18.364779Z

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.

Observation 2ddd6f9e-a58e-448d-9bf0-313eb1d836cc · outbound

This paper cites POWL: partially ordered workflow language.

LLM-based Vulnerability Discovery in Business Process Documentation POWL: partially ordered workflow language

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T00:09:18.346006Z

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.

Observation 89836695-c20b-4f31-8dea-2faaea1c29b8 · outbound

This paper cites Structured Extraction from Business Process Diagrams Using Vision-Language Models.

LLM-based Vulnerability Discovery in Business Process Documentation Structured Extraction from Business Process Diagrams Using Vision-Language Models

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-08T00:09:17.680004Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5c11ccbb-093e-4d88-8480-33c020d7338d · outbound

This paper cites Abstractions, scenarios, and prompt def- initions for process mining with llms: A case study.

LLM-based Vulnerability Discovery in Business Process Documentation Abstractions, scenarios, and prompt def- initions for process mining with llms: A case study

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T00:09:18.320840Z

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.

Observation 2ef1361b-aca9-4605-b561-dad1b95689f4 · outbound

This paper cites GPT-4 Technical Report.

LLM-based Vulnerability Discovery in Business Process Documentation GPT-4 Technical Report

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-08T00:09:17.691518Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1a600b07-cce8-46b8-a7ee-fddebfe483dd · outbound

This paper cites Process Mining Tools,.

LLM-based Vulnerability Discovery in Business Process Documentation Process Mining Tools,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T00:09:18.302185Z

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.

Observation e3a35dc9-4015-4deb-b85f-51b9bcbd087a · outbound

This paper cites SAP Signavio,.

LLM-based Vulnerability Discovery in Business Process Documentation SAP Signavio,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T00:09:18.284497Z

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.

Observation a53e99c7-bf3f-4cfd-91a3-d743f8f95e61 · outbound

This paper cites Process MIning Workbench.

LLM-based Vulnerability Discovery in Business Process Documentation Process MIning Workbench

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T00:09:18.267817Z

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.

Observation 8077b7d0-6cf8-4b23-adca-034306403da0 · outbound

This paper cites Zeebe YAML workflows.

LLM-based Vulnerability Discovery in Business Process Documentation Zeebe YAML workflows

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T00:09:18.250526Z

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.

Observation 394266a2-3f96-4850-a6b0-6ec7374d913b · outbound

This paper cites Process Model Generation from Natural Lan- guage Text.

LLM-based Vulnerability Discovery in Business Process Documentation Process Model Generation from Natural Lan- guage Text

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T00:09:18.231489Z

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.

Observation fa6af2aa-026b-4e3a-9885-46f524b0a3d7 · outbound

This paper cites A Concept for Generating Business Process Models from Natural Language Description.

LLM-based Vulnerability Discovery in Business Process Documentation A Concept for Generating Business Process Models from Natural Language Description

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T00:09:18.213827Z

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.

Observation 1a84c6d3-d91d-4be3-9968-774c976babdc · outbound

This paper cites A Machine Translation Like Approach to Generate Business Process Model from Textual Description.

LLM-based Vulnerability Discovery in Business Process Documentation A Machine Translation Like Approach to Generate Business Process Model from Textual Description

Reference 16

Resolution: verified exact; doi, observed 2026-08-08T00:09:17.851060Z

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.

Observation 79080273-b223-4c8e-a480-9a5a06f785f1 · outbound

This paper cites Detecting Data-Flow Errors in BPMN 2.0.

LLM-based Vulnerability Discovery in Business Process Documentation Detecting Data-Flow Errors in BPMN 2.0

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T00:09:18.193553Z

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.

Observation 4051f2d1-1fc7-4208-9d61-f6783c4e6f5c · outbound

This paper cites Formal Modeling and SMT-Based Parameterized Verification of Data-Aware BPMN (Extended Version).

LLM-based Vulnerability Discovery in Business Process Documentation Formal Modeling and SMT-Based Parameterized Verification of Data-Aware BPMN (Extended Version)

Reference 18

Resolution: verified exact; local_arxiv, observed 2026-08-08T00:09:17.828536Z

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.

Observation 178d7a5f-5e4b-43c3-a786-87b5abc35630 · outbound

This paper cites Petri Net Based Data-Flow Error Detection and Correction Strategy for Busi- ness Processes.

LLM-based Vulnerability Discovery in Business Process Documentation Petri Net Based Data-Flow Error Detection and Correction Strategy for Busi- ness Processes

Reference 19

Resolution: malformed identifier; no resolver link, observed 2026-08-08T00:09:17.754239Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 35cc4d63-8808-4a92-b5fa-e14180e5e8d3 · outbound

This paper cites Applying Cognitive Principles to Model-Finding Output: The Positive Value of Negative Information.

LLM-based Vulnerability Discovery in Business Process Documentation Applying Cognitive Principles to Model-Finding Output: The Positive Value of Negative Information

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T00:09:18.176540Z

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.

Observation e11cf733-3a34-478f-ade6-18a0236a8f0f · outbound

This paper cites Business Process Model Notation 2.0,.

LLM-based Vulnerability Discovery in Business Process Documentation Business Process Model Notation 2.0,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T00:09:18.156628Z

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.

Observation e2058dbe-e0a1-44af-8dd7-e5acc5b96125 · outbound

This paper cites Extract, define, canonicalize: An LLM -based framework for knowledge graph construction.

LLM-based Vulnerability Discovery in Business Process Documentation Extract, define, canonicalize: An LLM -based framework for knowledge graph construction

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T00:09:18.139379Z

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.

Observation 9d1f5ea3-304a-456e-a9fd-44e23224bd5a · outbound

This paper cites Language models are few -shot learners.

LLM-based Vulnerability Discovery in Business Process Documentation Language models are few -shot learners

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T00:09:18.119194Z

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.

Pith citing papers

No inbound Pith citation observations are available.