Paper Citation Record · LEDGER

Operationalizing CaMeL: Strengthening LLM Defenses for Enterprise Deployment

As of 20 August 2026, this Paper Citation Record lists 31 of 31 outbound references and 1 inbound Pith citation observation for arXiv:2505.22852.

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

pith.paper-citation-record.v1
2505.22852 v1

Coverage vector

measured 31 of 31 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:03:08.559854Z

measured 32 of 32 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-27T10:09:35.461423Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T10:17:57.568129Z

Reference resolution

31 of 31 outbound references displayed

verified exact0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 09840135-322b-443d-ba8d-4ddf8fc00204 · outbound

This paper cites Not what you've signed up for: Compromising Real-World LLM-Integrated Applications with Indirect Prompt Injection.

Operationalizing CaMeL: Strengthening LLM Defenses for Enterprise Deployment Not what you've signed up for: Compromising Real-World LLM-Integrated Applications with Indirect Prompt Injection

Reference 1

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Source-reported events for the cited work

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Observation 6f38cd75-e6af-4e23-b5c4-40c854c89f21 · outbound

This paper cites Cybersentinel: An emergent threat detection system for ai security, 2025.

Operationalizing CaMeL: Strengthening LLM Defenses for Enterprise Deployment Cybersentinel: An emergent threat detection system for ai security, 2025

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:03:13.030501Z

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Observation c9e9f21e-9273-47dd-a293-734b3d6369a8 · outbound

This paper cites A comparison of machine learning techniques for phishing detection.

Operationalizing CaMeL: Strengthening LLM Defenses for Enterprise Deployment A comparison of machine learning techniques for phishing detection

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:03:12.917910Z

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Observation 46c0f109-17ce-4fe1-8a8c-a61d548a9714 · outbound

This paper cites Engineering risk-aware, security-by-design frameworks for assurance of large-scale autonomous ai models, 2025.

Operationalizing CaMeL: Strengthening LLM Defenses for Enterprise Deployment Engineering risk-aware, security-by-design frameworks for assurance of large-scale autonomous ai models, 2025

Reference 4

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Observation e035b966-076c-48f3-8d6a-131f471603ab · outbound

This paper cites The cyber immune system: Harnessing adversarial forces for security resilience, 2025.

Operationalizing CaMeL: Strengthening LLM Defenses for Enterprise Deployment The cyber immune system: Harnessing adversarial forces for security resilience, 2025

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:03:12.693105Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 92920c7f-76d4-4862-bfcc-ec46fdf49329 · outbound

This paper cites A broad-coverage challenge corpus for sentence understanding through inference.

Operationalizing CaMeL: Strengthening LLM Defenses for Enterprise Deployment A broad-coverage challenge corpus for sentence understanding through inference

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:03:12.514984Z

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Observation 05cfaab1-20db-4da3-a8af-fabae7473f80 · outbound

This paper cites an unresolved cited work.

Operationalizing CaMeL: Strengthening LLM Defenses for Enterprise Deployment Unresolved cited work

Reference 7

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 35452170-061a-4812-beea-bf29ed65a234 · outbound

This paper cites Flowcaml: A polymorphic information-flow language.

Operationalizing CaMeL: Strengthening LLM Defenses for Enterprise Deployment Flowcaml: A polymorphic information-flow language

Reference 8

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Observation e332bd4f-de27-40fa-b6dd-008bc01eebb0 · outbound

This paper cites Zero trust architecture.

Operationalizing CaMeL: Strengthening LLM Defenses for Enterprise Deployment Zero trust architecture

Reference 9

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Source-reported events for the cited work

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Observation 8bcabf05-c80c-4d79-adc9-e9b3cdda554c · outbound

This paper cites Hu, David Ferraiolo, Richard Kuhn, and Angelo Schnitzer.

Operationalizing CaMeL: Strengthening LLM Defenses for Enterprise Deployment Hu, David Ferraiolo, Richard Kuhn, and Angelo Schnitzer

Reference 10

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Observation 8746c377-b319-409e-a5ce-06d5b9c33345 · outbound

This paper cites Security fatigue.

Operationalizing CaMeL: Strengthening LLM Defenses for Enterprise Deployment Security fatigue

Reference 11

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Observation 61adfc04-dbce-4a9c-9013-0ef96640d0ba · outbound

This paper cites Certikos: An extensible architecture for building certified concurrent os kernels.

Operationalizing CaMeL: Strengthening LLM Defenses for Enterprise Deployment Certikos: An extensible architecture for building certified concurrent os kernels

Reference 12

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Source-reported events for the cited work

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Observation c8f1fcbb-16c1-4a13-b905-202778013ebc · outbound

This paper cites Formal verification of a realistic compiler.

Operationalizing CaMeL: Strengthening LLM Defenses for Enterprise Deployment Formal verification of a realistic compiler

Reference 13

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Source-reported events for the cited work

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Observation 9d048838-bd52-428a-be5b-59849a9e7dfc · outbound

This paper cites Language-based information-flow security.

Operationalizing CaMeL: Strengthening LLM Defenses for Enterprise Deployment Language-based information-flow security

Reference 14

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Source-reported events for the cited work

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Observation 406568ac-b488-46d0-8bc6-bd53edbf8688 · outbound

This paper cites Controlled-channel attacks: Deterministic side channels for untrusted operating systems.

Operationalizing CaMeL: Strengthening LLM Defenses for Enterprise Deployment Controlled-channel attacks: Deterministic side channels for untrusted operating systems

Reference 15

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Observation 8a3a0b54-b1e9-4689-8765-b42c667ae885 · outbound

This paper cites Error message side channels in secure operating systems.

Operationalizing CaMeL: Strengthening LLM Defenses for Enterprise Deployment Error message side channels in secure operating systems

Reference 16

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Observation a83a85e6-98ef-4531-9348-d88b744b1af3 · outbound

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Operationalizing CaMeL: Strengthening LLM Defenses for Enterprise Deployment Unresolved cited work

Reference 17

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Observation c133b69b-99a5-49b6-bd22-33a19e90d0ee · outbound

This paper cites Cache attacks and countermeasures: The case of aes.

Operationalizing CaMeL: Strengthening LLM Defenses for Enterprise Deployment Cache attacks and countermeasures: The case of aes

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:03:10.687611Z

Source-reported events for the cited work

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Observation 68996c9f-695a-42bb-ad41-231f8ad5be56 · outbound

This paper cites Openai api pricing.

Operationalizing CaMeL: Strengthening LLM Defenses for Enterprise Deployment Openai api pricing

Reference 19

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Observation 863e33be-0132-4e46-9709-e1f50c380bff · outbound

This paper cites ReAct: Synergizing Reasoning and Acting in Language Models.

Operationalizing CaMeL: Strengthening LLM Defenses for Enterprise Deployment ReAct: Synergizing Reasoning and Acting in Language Models

Reference 20

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Observation 49654169-c7ed-4650-bead-f6a3c228cbf7 · outbound

This paper cites Security analysis of infrastructure-as-code: A systematic study.

Operationalizing CaMeL: Strengthening LLM Defenses for Enterprise Deployment Security analysis of infrastructure-as-code: A systematic study

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:03:10.310135Z

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Observation 00219a52-e7a7-45a0-a644-aa2e01efd0f1 · outbound

This paper cites Open policy agent.

Operationalizing CaMeL: Strengthening LLM Defenses for Enterprise Deployment Open policy agent

Reference 22

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Source-reported events for the cited work

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Observation 0d5e0711-bc85-407d-948c-17ed191c2a23 · outbound

This paper cites Dependent types and multi-monadic effects in f ∗.

Operationalizing CaMeL: Strengthening LLM Defenses for Enterprise Deployment Dependent types and multi-monadic effects in f ∗

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:03:09.908298Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 6e2c7966-7ca6-46bd-9d60-5f1a3ddb7390 · outbound

This paper cites Transforming cyber defense: Harnessing agentic and frontier ai for proactive, ethical threat intelligence, 2025.

Operationalizing CaMeL: Strengthening LLM Defenses for Enterprise Deployment Transforming cyber defense: Harnessing agentic and frontier ai for proactive, ethical threat intelligence, 2025

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:03:09.696414Z

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Observation 74753845-2598-43b5-8fee-48b46897cd52 · outbound

This paper cites Training language models to follow instructions with human feedback.

Operationalizing CaMeL: Strengthening LLM Defenses for Enterprise Deployment Training language models to follow instructions with human feedback

Reference 25

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Source-reported events for the cited work

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Observation dca5da0e-ccbd-4e10-a57d-801c690a6c38 · outbound

This paper cites Constitutional AI: Harmlessness from AI Feedback.

Operationalizing CaMeL: Strengthening LLM Defenses for Enterprise Deployment Constitutional AI: Harmlessness from AI Feedback

Reference 26

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Observation eb6800f9-e65e-444b-bc01-2d04bf4a64d0 · outbound

This paper cites gvisor: User-space kernel sandbox.

Operationalizing CaMeL: Strengthening LLM Defenses for Enterprise Deployment gvisor: User-space kernel sandbox

Reference 27

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Observation f263b51f-ec7b-4650-8a95-c5179a1848fa · outbound

This paper cites Red Teaming Language Models with Language Models.

Operationalizing CaMeL: Strengthening LLM Defenses for Enterprise Deployment Red Teaming Language Models with Language Models

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-07T13:03:08.225080Z

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Observation 852283e5-73f0-4beb-b731-04bc03c626e9 · outbound

This paper cites Universal and Transferable Adversarial Attacks on Aligned Language Models.

Operationalizing CaMeL: Strengthening LLM Defenses for Enterprise Deployment Universal and Transferable Adversarial Attacks on Aligned Language Models

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-07T13:03:08.341249Z

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Observation 8ec9f2e7-42cd-4991-9d81-366bdd671340 · outbound

This paper cites HACL* : Veri- fied implementations of cryptographic algorithms.

Operationalizing CaMeL: Strengthening LLM Defenses for Enterprise Deployment HACL* : Veri- fied implementations of cryptographic algorithms

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:03:09.304190Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation f6604230-8da2-4c3c-b9cc-9777441a3a9e · outbound

This paper cites Alignment, agency and autonomy in frontier ai: A systems engineering perspec- tive, 2025.

Operationalizing CaMeL: Strengthening LLM Defenses for Enterprise Deployment Alignment, agency and autonomy in frontier ai: A systems engineering perspec- tive, 2025

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:03:09.093700Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Pith citing papers

Observation 58c23c6e-a04e-4999-ab62-d6566bb8774c · inbound

A Five-Plane Reference Architecture for Runtime Governance of Production AI Agents cites this paper.

A Five-Plane Reference Architecture for Runtime Governance of Production AI Agents Operationalizing CaMeL: Strengthening LLM Defenses for Enterprise Deployment

Reference 51

Resolution: verified exact; arxiv_id, observed 2026-07-03T10:17:57.569438Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.