Paper Citation Record · LEDGER

IntelliAudit: Using Large Language Models to Evaluate Audit Controls

As of 15 August 2026, this Paper Citation Record lists 35 of 35 outbound references and 0 inbound Pith citation observations for arXiv:2608.07688.

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

pith.paper-citation-record.v1
2608.07688 v1

Coverage vector

measured 35 of 35 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T00:27:29.210339Z

measured 35 of 35 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+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

35 of 35 outbound references displayed

verified exact2
verified fuzzy3
unresolved28
parse uncertain0
malformed identifier0
metadata mismatch2

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 8bcc747d-e43e-4c5b-89ee-1cede175793a · outbound

This paper cites Ask in Any Modality: A Comprehensive Survey on Multimodal Retrieval-Augmented Generation.

IntelliAudit: Using Large Language Models to Evaluate Audit Controls Ask in Any Modality: A Comprehensive Survey on Multimodal Retrieval-Augmented Generation

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-11T00:27:28.943795Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 219d09bd-331b-4c87-96b3-bbf4b6cf395f · outbound

This paper cites RAGulating Compliance: A Multi-Agent Knowledge Graph for Regulatory QA.

IntelliAudit: Using Large Language Models to Evaluate Audit Controls RAGulating Compliance: A Multi-Agent Knowledge Graph for Regulatory QA

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-11T00:27:29.058468Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1129b1f7-62a7-413a-afb7-540ddade6138 · outbound

This paper cites an unresolved cited work.

IntelliAudit: Using Large Language Models to Evaluate Audit Controls Unresolved cited work

Reference 3

Resolution: unresolved; raw_fallback, observed 2026-08-11T00:27:29.850195Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation c5f4da48-5bd2-493c-bcd0-731ec395ced8 · outbound

This paper cites I.; Abualhaija, S.; and Briand, L.

IntelliAudit: Using Large Language Models to Evaluate Audit Controls I.; Abualhaija, S.; and Briand, L

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:27:29.836878Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 7b18eb0c-9095-41fe-8c07-f0d55dee62d8 · outbound

This paper cites LLMAuditor: A Framework for Auditing Large Language Models Using Human-in-the-Loop.

IntelliAudit: Using Large Language Models to Evaluate Audit Controls LLMAuditor: A Framework for Auditing Large Language Models Using Human-in-the-Loop

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-11T00:27:29.073029Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6e4df774-98c7-4870-b792-c26122d1765a · outbound

This paper cites Automating Security Audit Using Large Language Model based Agent: An Exploration Experiment.

IntelliAudit: Using Large Language Models to Evaluate Audit Controls Automating Security Audit Using Large Language Model based Agent: An Exploration Experiment

Reference 6

Resolution: metadata mismatch; local_arxiv, observed 2026-08-11T00:27:29.618323Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation ff9fc7f7-563c-4121-a806-e4523397486d · outbound

This paper cites an unresolved cited work.

IntelliAudit: Using Large Language Models to Evaluate Audit Controls Unresolved cited work

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-11T00:27:29.082993Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 99eba53e-f78a-4d8e-bffe-2c71666daa15 · outbound

This paper cites an unresolved cited work.

IntelliAudit: Using Large Language Models to Evaluate Audit Controls Unresolved cited work

Reference 8

Resolution: unresolved; raw_fallback, observed 2026-08-11T00:27:29.823610Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 7b7484bb-3bba-4eab-81d1-af30f27db528 · outbound

This paper cites Improving Factuality and Reasoning in Language Models through Multiagent Debate.

IntelliAudit: Using Large Language Models to Evaluate Audit Controls Improving Factuality and Reasoning in Language Models through Multiagent Debate

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-11T00:27:29.091781Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 95f15561-9a4f-48db-b882-0833c4495ac3 · outbound

This paper cites Retrieval-Augmented Generation for Large Language Models: A Survey.

IntelliAudit: Using Large Language Models to Evaluate Audit Controls Retrieval-Augmented Generation for Large Language Models: A Survey

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-11T00:27:29.096338Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3f2d400e-92c0-45c9-9538-58846c217bed · outbound

This paper cites Large Language Model based Multi-Agents: A Survey of Progress and Challenges.

IntelliAudit: Using Large Language Models to Evaluate Audit Controls Large Language Model based Multi-Agents: A Survey of Progress and Challenges

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-11T00:27:29.100897Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ce3d5783-4c5b-4343-9306-85d97d822ef5 · outbound

This paper cites an unresolved cited work.

IntelliAudit: Using Large Language Models to Evaluate Audit Controls Unresolved cited work

Reference 12

Resolution: unresolved; raw_fallback, observed 2026-08-11T00:27:29.810324Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation da47d278-9746-4304-83f3-5ced1b730274 · outbound

This paper cites an unresolved cited work.

IntelliAudit: Using Large Language Models to Evaluate Audit Controls Unresolved cited work

Reference 13

Resolution: unresolved; raw_fallback, observed 2026-08-11T00:27:29.796354Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation d6fa453b-1ee5-416b-bf06-23ccc9d25c9e · outbound

This paper cites LayoutLMv3: Pre-training for Document AI with Unified Text and Image Masking.

IntelliAudit: Using Large Language Models to Evaluate Audit Controls LayoutLMv3: Pre-training for Document AI with Unified Text and Image Masking

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-11T00:27:29.113753Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6994acf5-eb49-461f-b951-28ca70cdf194 · outbound

This paper cites an unresolved cited work.

IntelliAudit: Using Large Language Models to Evaluate Audit Controls Unresolved cited work

Reference 15

Resolution: unresolved; raw_fallback, observed 2026-08-11T00:27:29.782602Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 4dd9cc1d-7e81-4b4c-8546-62365e1dca02 · outbound

This paper cites an unresolved cited work.

IntelliAudit: Using Large Language Models to Evaluate Audit Controls Unresolved cited work

Reference 16

Resolution: unresolved; raw_fallback, observed 2026-08-11T00:27:29.769576Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 4c090b0a-970c-4ec4-a79c-e64cb40da848 · outbound

This paper cites an unresolved cited work.

IntelliAudit: Using Large Language Models to Evaluate Audit Controls Unresolved cited work

Reference 17

Resolution: unresolved; raw_fallback, observed 2026-08-11T00:27:29.756107Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 0fe7bdf6-beed-46cb-9750-47640752b525 · outbound

This paper cites Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks.

IntelliAudit: Using Large Language Models to Evaluate Audit Controls Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-11T00:27:29.130758Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ce39b1ea-40db-4fb7-a277-9904d2f95630 · outbound

This paper cites From COBIT to ISO 42001: Evaluating Cybersecurity Frameworks for Opportunities, Risks, and Regulatory Compliance in Commercializing Large Language Models.

IntelliAudit: Using Large Language Models to Evaluate Audit Controls From COBIT to ISO 42001: Evaluating Cybersecurity Frameworks for Opportunities, Risks, and Regulatory Compliance in Commercializing Large Language Models

Reference 19

Resolution: metadata mismatch; local_arxiv, observed 2026-08-11T00:27:29.404754Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation aea0204d-6bdb-4b0d-97ff-e02b30607fc1 · outbound

This paper cites an unresolved cited work.

IntelliAudit: Using Large Language Models to Evaluate Audit Controls Unresolved cited work

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-11T00:27:29.139840Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5fc0fcc8-4f41-4142-9ef2-714f5e44908a · outbound

This paper cites an unresolved cited work.

IntelliAudit: Using Large Language Models to Evaluate Audit Controls Unresolved cited work

Reference 21

Resolution: unresolved; raw_fallback, observed 2026-08-11T00:27:29.741248Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 71227309-6dff-4edc-853b-1506f17a120f · outbound

This paper cites an unresolved cited work.

IntelliAudit: Using Large Language Models to Evaluate Audit Controls Unresolved cited work

Reference 22

Resolution: unresolved; raw_fallback, observed 2026-08-11T00:27:29.726586Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation f090bafe-c431-4e6e-add1-7d856c9e0022 · outbound

This paper cites Supporting Human-AI Collaboration in Auditing LLMs with LLMs.

IntelliAudit: Using Large Language Models to Evaluate Audit Controls Supporting Human-AI Collaboration in Auditing LLMs with LLMs

Reference 23

Resolution: verified exact; local_arxiv, observed 2026-08-11T00:27:29.384802Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation f5faa852-fa0a-4840-b739-f36354300713 · outbound

This paper cites I.; and Brachten, C.

IntelliAudit: Using Large Language Models to Evaluate Audit Controls I.; and Brachten, C

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:27:29.712753Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 9225960a-fd88-4199-8fae-d0306c024403 · outbound

This paper cites Agentic Retrieval-Augmented Generation: A Survey on Agentic RAG.

IntelliAudit: Using Large Language Models to Evaluate Audit Controls Agentic Retrieval-Augmented Generation: A Survey on Agentic RAG

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-11T00:27:29.161662Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 937955a1-0046-4edb-bf8c-cba16e542a94 · outbound

This paper cites Multi-Agent Collaboration Mechanisms: A Survey of LLMs.

IntelliAudit: Using Large Language Models to Evaluate Audit Controls Multi-Agent Collaboration Mechanisms: A Survey of LLMs

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-11T00:27:29.166069Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 925d2cd1-34c4-44d7-9351-28abec4797c5 · outbound

This paper cites G.; and Ramanathan, M.

IntelliAudit: Using Large Language Models to Evaluate Audit Controls G.; and Ramanathan, M

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:27:29.699032Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 55a9dd22-c68d-472d-921c-d724cd85443a · outbound

This paper cites an unresolved cited work.

IntelliAudit: Using Large Language Models to Evaluate Audit Controls Unresolved cited work

Reference 28

Resolution: unresolved; raw_fallback, observed 2026-08-11T00:27:29.685807Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation f91399d9-9be7-4867-b2f6-3fbc093825ee · outbound

This paper cites Automating Financial Statement Audits with Large Language Models.

IntelliAudit: Using Large Language Models to Evaluate Audit Controls Automating Financial Statement Audits with Large Language Models

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-11T00:27:29.181848Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 414250b1-0ffb-4fc9-a4ae-a516360f9e71 · outbound

This paper cites AUDITFLOW: Executable Symbolic Environments for Structured Financial Reporting Verification.

IntelliAudit: Using Large Language Models to Evaluate Audit Controls AUDITFLOW: Executable Symbolic Environments for Structured Financial Reporting Verification

Reference 30

Resolution: verified exact; local_arxiv, observed 2026-08-11T00:27:29.320851Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation f274bf30-d01a-4770-8631-95966eceb9ea · outbound

This paper cites FinAuditing: A Financial Taxonomy-Structured Multi-Document Benchmark for Evaluating LLMs.

IntelliAudit: Using Large Language Models to Evaluate Audit Controls FinAuditing: A Financial Taxonomy-Structured Multi-Document Benchmark for Evaluating LLMs

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-11T00:27:29.191323Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b55376f5-3c55-44bc-a161-f63732b7777f · outbound

This paper cites an unresolved cited work.

IntelliAudit: Using Large Language Models to Evaluate Audit Controls Unresolved cited work

Reference 32

Resolution: unresolved; raw_fallback, observed 2026-08-11T00:27:29.671993Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 939dcb3c-b02e-4be0-b79f-f8cb63377e05 · outbound

This paper cites LayoutLMv2: Multi-modal Pre-training for Visually-Rich Document Understanding.

IntelliAudit: Using Large Language Models to Evaluate Audit Controls LayoutLMv2: Multi-modal Pre-training for Visually-Rich Document Understanding

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-11T00:27:29.200803Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7aa45079-a53c-4934-ba95-245cf3107916 · outbound

This paper cites Smart Audit System Empowered by LLM.

IntelliAudit: Using Large Language Models to Evaluate Audit Controls Smart Audit System Empowered by LLM

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-11T00:27:29.205605Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3b0f29fb-f316-4ce2-bf95-4d6a59534ad1 · outbound

This paper cites LLM-Based Human-Agent Collaboration and Interaction Systems: A Survey.

IntelliAudit: Using Large Language Models to Evaluate Audit Controls LLM-Based Human-Agent Collaboration and Interaction Systems: A Survey

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-11T00:27:29.210339Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.