Paper Citation Record · LEDGER

The CASE Framework: A Multi-Disciplinary Control Architecture for Governing Enterprise Agentic AI

As of 21 August 2026, this Paper Citation Record lists 29 of 29 outbound references and 0 inbound Pith citation observations for arXiv:2608.10153.

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

pith.paper-citation-record.v1
2608.10153 v1

Coverage vector

measured 29 of 29 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T04:16:56.402029Z

measured 29 of 29 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+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

29 of 29 outbound references displayed

verified exact3
verified fuzzy14
unresolved12
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f92cb8fd-d42c-47f4-8310-9f05d18f4d00 · outbound

This paper cites an unresolved cited work.

The CASE Framework: A Multi-Disciplinary Control Architecture for Governing Enterprise Agentic AI Unresolved cited work

Reference 1

Resolution: unresolved; raw_fallback, observed 2026-08-14T04:16:56.993449Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 16b2c116-fe14-493e-9218-ea951d9d9d18 · outbound

This paper cites an unresolved cited work.

The CASE Framework: A Multi-Disciplinary Control Architecture for Governing Enterprise Agentic AI Unresolved cited work

Reference 2

Resolution: unresolved; raw_fallback, observed 2026-08-14T04:16:56.978139Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation d556e9ba-5c56-4819-aa2e-0586e542b4d2 · outbound

This paper cites (1972).Brain of the Firm: The Managerial Cybernetics of Organization.

The CASE Framework: A Multi-Disciplinary Control Architecture for Governing Enterprise Agentic AI (1972).Brain of the Firm: The Managerial Cybernetics of Organization

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:16:56.961055Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 3a4a1b9a-5ca3-421e-9ec1-69945ffd4925 · outbound

This paper cites C., and Ashby, W.

The CASE Framework: A Multi-Disciplinary Control Architecture for Governing Enterprise Agentic AI C., and Ashby, W

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:16:56.944017Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 6b0b194c-1376-42f9-8ae3-14ada8df50dc · outbound

This paper cites an unresolved cited work.

The CASE Framework: A Multi-Disciplinary Control Architecture for Governing Enterprise Agentic AI Unresolved cited work

Reference 5

Resolution: unresolved; raw_fallback, observed 2026-08-14T04:16:56.927741Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation c211033c-94e2-4029-bdd9-33845a5b9e1b · outbound

This paper cites (1948).Cybernetics: Or Control and Communication in the Animal and the Machine.

The CASE Framework: A Multi-Disciplinary Control Architecture for Governing Enterprise Agentic AI (1948).Cybernetics: Or Control and Communication in the Animal and the Machine

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:16:56.910060Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 7fced374-1319-4c27-8627-1a6c98eaac10 · outbound

This paper cites J., and Murray, R.

The CASE Framework: A Multi-Disciplinary Control Architecture for Governing Enterprise Agentic AI J., and Murray, R

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:16:56.894152Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 51c7067c-9a32-49e8-af08-9f6d0fbdf886 · outbound

This paper cites an unresolved cited work.

The CASE Framework: A Multi-Disciplinary Control Architecture for Governing Enterprise Agentic AI Unresolved cited work

Reference 8

Resolution: unresolved; raw_fallback, observed 2026-08-14T04:16:56.878215Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 5841d7ff-b483-441a-a689-aed3c4c84aa0 · outbound

This paper cites an unresolved cited work.

The CASE Framework: A Multi-Disciplinary Control Architecture for Governing Enterprise Agentic AI Unresolved cited work

Reference 9

Resolution: unresolved; raw_fallback, observed 2026-08-14T04:16:56.862772Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 19de6ccd-3137-4c6d-b7e0-3026c6b082ed · outbound

This paper cites (1996).How Nature Works: The Science of Self-Organized Criticality.

The CASE Framework: A Multi-Disciplinary Control Architecture for Governing Enterprise Agentic AI (1996).How Nature Works: The Science of Self-Organized Criticality

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:16:56.842033Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation bed457b4-6630-48db-934b-1d26130d5e92 · outbound

This paper cites (1999).Swarm Intelligence: From Natural to Artificial Systems.

The CASE Framework: A Multi-Disciplinary Control Architecture for Governing Enterprise Agentic AI (1999).Swarm Intelligence: From Natural to Artificial Systems

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:16:56.824549Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation f59daee2-a21d-4eb6-89c9-5e0ae3c2bfb4 · outbound

This paper cites A Systematic Approach to Multi-Agent AI from Advanced Regulatory Control Theory: Safe and Auditable LLM Operator Agents for Process Control.

The CASE Framework: A Multi-Disciplinary Control Architecture for Governing Enterprise Agentic AI A Systematic Approach to Multi-Agent AI from Advanced Regulatory Control Theory: Safe and Auditable LLM Operator Agents for Process Control

Reference 12

Resolution: verified exact; local_arxiv, observed 2026-08-14T04:16:56.669527Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 40ff79b8-4738-4ecc-8ad4-30fc4d6f3a40 · outbound

This paper cites From Risk Classification to Action Plan Remediation: A Guardrail Feedback Driven Framework for LLM Agents.

The CASE Framework: A Multi-Disciplinary Control Architecture for Governing Enterprise Agentic AI From Risk Classification to Action Plan Remediation: A Guardrail Feedback Driven Framework for LLM Agents

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-14T04:16:56.329116Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 293b1c9b-9b06-4067-99d7-99ad433b9907 · outbound

This paper cites A Survey on AgentOps: Categorization, Challenges, and Future Directions.

The CASE Framework: A Multi-Disciplinary Control Architecture for Governing Enterprise Agentic AI A Survey on AgentOps: Categorization, Challenges, and Future Directions

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-14T04:16:56.333902Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7dff5927-c71a-4498-aaab-ce8adba80544 · outbound

This paper cites AgentOps: Enabling Observability of LLM Agents.

The CASE Framework: A Multi-Disciplinary Control Architecture for Governing Enterprise Agentic AI AgentOps: Enabling Observability of LLM Agents

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-14T04:16:56.338907Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 30a9ced4-6da5-495e-b438-56458d0c3f4c · outbound

This paper cites Beyond Static Responses: Multi-Agent LLM Systems as a New Paradigm for Social Science Research.

The CASE Framework: A Multi-Disciplinary Control Architecture for Governing Enterprise Agentic AI Beyond Static Responses: Multi-Agent LLM Systems as a New Paradigm for Social Science Research

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-14T04:16:56.343591Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ee7a7d5f-f096-4173-9b91-a93adc25520b · outbound

This paper cites Governing the Agentic Enterprise: A Governance Maturity Model for Managing AI Agent Sprawl in Business Operations.

The CASE Framework: A Multi-Disciplinary Control Architecture for Governing Enterprise Agentic AI Governing the Agentic Enterprise: A Governance Maturity Model for Managing AI Agent Sprawl in Business Operations

Reference 17

Resolution: verified exact; local_arxiv, observed 2026-08-14T04:16:56.595608Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation baf8480f-839a-4831-8856-10a70b35e935 · outbound

This paper cites From Runtime Records to Legal Findings: An Evidentiary-Adequacy Criterion for Agentic AI Oversight.

The CASE Framework: A Multi-Disciplinary Control Architecture for Governing Enterprise Agentic AI From Runtime Records to Legal Findings: An Evidentiary-Adequacy Criterion for Agentic AI Oversight

Reference 18

Resolution: verified exact; local_arxiv, observed 2026-08-14T04:16:56.575206Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 3cb9297f-29af-427a-888d-6c1a0cdca750 · outbound

This paper cites arXiv:2511.22975(2025).

The CASE Framework: A Multi-Disciplinary Control Architecture for Governing Enterprise Agentic AI arXiv:2511.22975(2025)

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-14T04:16:56.358804Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f243f968-3206-4bcc-8134-f8f05a18774c · outbound

This paper cites Regulation (EU) 2024/1689 (Artificial Intelligence Act), Article 14: Human oversight.

The CASE Framework: A Multi-Disciplinary Control Architecture for Governing Enterprise Agentic AI Regulation (EU) 2024/1689 (Artificial Intelligence Act), Article 14: Human oversight

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:16:56.809436Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation c0bb4428-f1a5-47ed-b6fb-9ab195984a90 · outbound

This paper cites AI agent standards initiative and AI Risk Management Framework.

The CASE Framework: A Multi-Disciplinary Control Architecture for Governing Enterprise Agentic AI AI agent standards initiative and AI Risk Management Framework

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:16:56.791742Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 15f1188b-35f1-4d8f-881b-3e845a59a4d5 · outbound

This paper cites an unresolved cited work.

The CASE Framework: A Multi-Disciplinary Control Architecture for Governing Enterprise Agentic AI Unresolved cited work

Reference 22

Resolution: unresolved; raw_fallback, observed 2026-08-14T04:16:56.777084Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation ace10192-d9fa-4507-9b82-8cab5eba31f5 · outbound

This paper cites F., Aiello, L.

The CASE Framework: A Multi-Disciplinary Control Architecture for Governing Enterprise Agentic AI F., Aiello, L

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:16:56.764265Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation d0164dab-0377-4816-8ae3-b32fda71941a · outbound

This paper cites Autonomous Control Leveraging LLMs: An Agentic Framework for Next-Generation Industrial Automation.

The CASE Framework: A Multi-Disciplinary Control Architecture for Governing Enterprise Agentic AI Autonomous Control Leveraging LLMs: An Agentic Framework for Next-Generation Industrial Automation

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-14T04:16:56.380254Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e4c5de5c-da8b-4196-ace8-3ff793ef9f00 · outbound

This paper cites Industry research review.

The CASE Framework: A Multi-Disciplinary Control Architecture for Governing Enterprise Agentic AI Industry research review

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:16:56.748680Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 2df7a15f-6883-4d42-bb55-7ece9d749fda · outbound

This paper cites Industry research review.

The CASE Framework: A Multi-Disciplinary Control Architecture for Governing Enterprise Agentic AI Industry research review

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:16:56.733109Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 7119bf9a-d22b-4b34-9132-90f25a13812f · outbound

This paper cites Trade press synthesis.

The CASE Framework: A Multi-Disciplinary Control Architecture for Governing Enterprise Agentic AI Trade press synthesis

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:16:56.718310Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation bcbb3e45-62c2-4384-8c20-e74bd9bb92b3 · outbound

This paper cites Agentic AI adoption maturity model.

The CASE Framework: A Multi-Disciplinary Control Architecture for Governing Enterprise Agentic AI Agentic AI adoption maturity model

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:16:56.702668Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 66e79adb-640f-477a-91a7-21389ffebb13 · outbound

This paper cites Information technology, artificial intelligence, management system.

The CASE Framework: A Multi-Disciplinary Control Architecture for Governing Enterprise Agentic AI Information technology, artificial intelligence, management system

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:16:56.686586Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Pith citing papers

No inbound Pith citation observations are available.