Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-09T21:05:08.912076Z
Paper Citation Record · LEDGER
As of 10 August 2026, this Paper Citation Record lists 51 of 51 outbound references and 2 inbound Pith citation observations for arXiv:2501.19173.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-09T21:05:08.912076Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-06-26T04:29:16.386339Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-04T14:09:53.326323Z
51 of 51 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 468d6136-668e-4739-a4af-1086ec865817 · outbound
Position: Contextual Integrity is Inadequately Applied to Language Models write newline
Reference 1
Source-reported events for the cited work
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Observation b0144532-a5a2-4eca-a688-5e1022c1c0aa · outbound
Position: Contextual Integrity is Inadequately Applied to Language Models GPT-4 Technical Report
Reference 2
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a7f05cf9-8d84-4b15-85c4-e30ffebee6de · outbound
Position: Contextual Integrity is Inadequately Applied to Language Models AirGapAgent: Protecting Privacy-Conscious Conversational Agents
Reference 3
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 82c8b620-ac74-4ee0-85d8-4da441f9baf3 · outbound
Position: Contextual Integrity is Inadequately Applied to Language Models C., and Nissenbaum, H
Reference 4
Source-reported events for the cited work
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Observation de93758d-4b91-47c5-a972-bd4b50f88f2f · outbound
Position: Contextual Integrity is Inadequately Applied to Language Models Contextual integrity through the lens of computer science
Reference 5
Source-reported events for the cited work
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Observation ee9bcf2e-a60d-450f-ab4f-fe92d2687ae6 · outbound
Position: Contextual Integrity is Inadequately Applied to Language Models What does it mean for a language model to preserve privacy? In ACM Conference on Fairness, Accountability, and Transparency, pp.\ 2280--2292, 2022
Reference 6
Source-reported events for the cited work
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Observation 37aa3851-2387-48c6-9c53-0665b0784298 · outbound
Position: Contextual Integrity is Inadequately Applied to Language Models On the Worst Prompt Performance of Large Language Models
Reference 7
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0ffca8af-c042-406e-947c-3ef74962dd72 · outbound
Position: Contextual Integrity is Inadequately Applied to Language Models CI-Bench: Benchmarking Contextual Integrity of AI Assistants on Synthetic Data
Reference 8
Source-reported events for the cited work
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Observation a7a68ed0-9706-4fd2-a247-89b07ef0bb93 · outbound
Position: Contextual Integrity is Inadequately Applied to Language Models Logical specification of the glba and hipaa privacy laws
Reference 9
Source-reported events for the cited work
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Observation c045c50b-9e61-4c9f-a140-7c54fc23285f · outbound
Position: Contextual Integrity is Inadequately Applied to Language Models The Llama 3 Herd of Models
Reference 10
Source-reported events for the cited work
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Observation 292014f4-e0f0-408a-bac3-71ba33cbf56c · outbound
Position: Contextual Integrity is Inadequately Applied to Language Models Law's empire
Reference 11
Source-reported events for the cited work
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Observation 0a845fc1-5fe7-4c37-bef4-c2b629d550c4 · outbound
Position: Contextual Integrity is Inadequately Applied to Language Models What Did I Do Wrong? Quantifying LLMs' Sensitivity and Consistency to Prompt Engineering
Reference 12
Source-reported events for the cited work
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Observation 0d7bc8fb-06cf-475f-9fd4-bd11e90fc7ed · outbound
Position: Contextual Integrity is Inadequately Applied to Language Models GoldCoin: Grounding Large Language Models in Privacy Laws via Contextual Integrity Theory
Reference 13
Source-reported events for the cited work
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Observation cf7f4cce-4135-47a0-a249-814f92a6593e · outbound
Position: Contextual Integrity is Inadequately Applied to Language Models and Mori, T
Reference 14
Source-reported events for the cited work
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Observation 4df36041-bac0-44e2-a9af-e1937da761b3 · outbound
Position: Contextual Integrity is Inadequately Applied to Language Models Pal: Program-aided language models
Reference 15
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 74eefd8e-3ef1-4bd4-b1dd-b28146659298 · outbound
Position: Contextual Integrity is Inadequately Applied to Language Models Privacy and the limits of law
Reference 16
Source-reported events for the cited work
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Observation 857730ee-f8dd-4203-a53b-b95dcc4e3d0f · outbound
Position: Contextual Integrity is Inadequately Applied to Language Models Gemini: A Family of Highly Capable Multimodal Models
Reference 17
Source-reported events for the cited work
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Observation 6d178f6b-d368-40e6-845f-0987ce27dac7 · outbound
Position: Contextual Integrity is Inadequately Applied to Language Models L., Kreuter, F., and Zins, S
Reference 18
Source-reported events for the cited work
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Observation a516e637-81c7-488f-b604-6edc6b4a330c · outbound
Position: Contextual Integrity is Inadequately Applied to Language Models Operationalizing Contextual Integrity in Privacy-Conscious Assistants
Reference 19
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0d3e6bee-107e-4132-a0b0-0b6173492331 · outbound
Position: Contextual Integrity is Inadequately Applied to Language Models Can LLMs get help from other LLMs without revealing private information?
Reference 20
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 26c961d9-5458-4eb0-855c-399b9c9b23d9 · outbound
Position: Contextual Integrity is Inadequately Applied to Language Models Social Bias Evaluation for Large Language Models Requires Prompt Variations
Reference 21
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fa101458-d3f0-483d-b6a5-d4a7cbb8bd7a · outbound
Position: Contextual Integrity is Inadequately Applied to Language Models Found in the Middle: Calibrating Positional Attention Bias Improves Long Context Utilization
Reference 22
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 898a2611-6377-4b8d-b2df-be50100fd0dc · outbound
Position: Contextual Integrity is Inadequately Applied to Language Models Internet-augmented dialogue generation
Reference 23
Source-reported events for the cited work
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Observation 34f1d481-90f1-45f1-bcd6-916962b85c87 · outbound
Position: Contextual Integrity is Inadequately Applied to Language Models Privacy Checklist: Privacy Violation Detection Grounding on Contextual Integrity Theory
Reference 24
Source-reported events for the cited work
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Observation 32b24589-3ced-4ce3-a24e-c07c2dc051c8 · outbound
Position: Contextual Integrity is Inadequately Applied to Language Models Exploring the sensitivity of LLM s ' decision-making capabilities: Insights from prompt variations and hyperparameters
Reference 25
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 50b330bd-04a3-473d-bca3-293959a171e1 · outbound
Position: Contextual Integrity is Inadequately Applied to Language Models How are prompts different in terms of sensitivity? In Duh, K., Gomez, H., and Bethard, S
Reference 26
Source-reported events for the cited work
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Observation ba8ba18a-26de-4a7a-a8fe-911358b77716 · outbound
Position: Contextual Integrity is Inadequately Applied to Language Models and Nissenbaum, H
Reference 27
Source-reported events for the cited work
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Observation 30128ed4-bf6c-4bfa-83af-07450a271981 · outbound
Position: Contextual Integrity is Inadequately Applied to Language Models Can llms keep a secret? testing privacy implications of language models via contextual integrity theory
Reference 28
Source-reported events for the cited work
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Observation e9f16788-2aff-45ec-adba-606549936692 · outbound
Position: Contextual Integrity is Inadequately Applied to Language Models State of what art? a call for multi-prompt llm evaluation
Reference 29
Source-reported events for the cited work
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Observation d92cdfaf-8499-42bc-b234-1ddd0b152a64 · outbound
Position: Contextual Integrity is Inadequately Applied to Language Models C., Kadhe, S., Wang, H., Murugesan, K., Weisz, J
Reference 30
Source-reported events for the cited work
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Observation 2cc7058a-6f11-4f60-9a7c-a1b60ce631f3 · outbound
Position: Contextual Integrity is Inadequately Applied to Language Models Privacy as contextual integrity
Reference 31
Source-reported events for the cited work
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Observation 02b9b1ce-d070-4764-acb6-dbe805601cad · outbound
Position: Contextual Integrity is Inadequately Applied to Language Models Privacy in context: Technology, policy, and the integrity of social life
Reference 32
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 2bafd46a-4b6d-44ef-afc0-6052bf206aaa · outbound
Position: Contextual Integrity is Inadequately Applied to Language Models Respect for context as a benchmark for privacy online: What it is and isn't
Reference 33
Source-reported events for the cited work
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Observation 61e5c2fd-b32d-4328-bcd2-4143fe016a15 · outbound
Position: Contextual Integrity is Inadequately Applied to Language Models Contextual integrity up and down the data food chain
Reference 34
Source-reported events for the cited work
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Observation f9e8831f-adbe-4dae-aa58-f58a60b43f06 · outbound
Position: Contextual Integrity is Inadequately Applied to Language Models Foreword by Helen Nissenbaum
Reference 35
Source-reported events for the cited work
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Observation 7cc70d66-50a4-4f0b-855b-fadd4b2fa068 · outbound
Position: Contextual Integrity is Inadequately Applied to Language Models TALM: Tool Augmented Language Models
Reference 36
Source-reported events for the cited work
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Observation 38f12346-f490-43d6-a617-77e1e8b68d87 · outbound
Position: Contextual Integrity is Inadequately Applied to Language Models Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context
Reference 37
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 86f6cb67-0af7-4691-b73e-ed77317bebff · outbound
Position: Contextual Integrity is Inadequately Applied to Language Models Toolformer: Language models can teach themselves to use tools
Reference 38
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 1b85b323-0236-4f4e-8ffb-71ef09e46c02 · outbound
Position: Contextual Integrity is Inadequately Applied to Language Models Quantifying language models' sensitivity to spurious features in prompt design or: How i learned to start worrying about prompt formatting
Reference 39
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0f0fe9d3-a160-4035-bee3-931f5fc0ff52 · outbound
Position: Contextual Integrity is Inadequately Applied to Language Models PrivacyLens: Evaluating Privacy Norm Awareness of Language Models in Action
Reference 40
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d20e6a63-3b83-4daa-b223-684f47ddc579 · outbound
Position: Contextual Integrity is Inadequately Applied to Language Models Judging the judges: A systematic investigation of position bias in pairwise comparative assessments by llms
Reference 41
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 713950fb-f853-4a24-bfe7-f5ef67d8e98c · outbound
Position: Contextual Integrity is Inadequately Applied to Language Models and Duddu, V
Reference 42
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f5f52c5c-2d8e-4bf5-9cd5-721677a4caf2 · outbound
Position: Contextual Integrity is Inadequately Applied to Language Models Learning privacy expectations by crowdsourcing contextual informational norms
Reference 43
Source-reported events for the cited work
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Observation 3c7d4caf-f53b-453a-a94c-389d77989340 · outbound
Position: Contextual Integrity is Inadequately Applied to Language Models VACCINE : Using Contextual Integrity ForData Leakage Detection
Reference 44
Source-reported events for the cited work
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Observation af1e07ba-ad0a-404b-b3eb-83d1cc0f24b5 · outbound
Position: Contextual Integrity is Inadequately Applied to Language Models and Bonotti, M
Reference 45
Source-reported events for the cited work
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Observation 8d3f5917-0372-4ed3-a9cc-443dc6fb0dd6 · outbound
Position: Contextual Integrity is Inadequately Applied to Language Models M., Herbert, F., Schaewitz, L., Degeling, M., and D \"u rmuth, M
Reference 46
Source-reported events for the cited work
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Observation 7b022b0c-8175-45da-bf7b-621428ce1227 · outbound
Position: Contextual Integrity is Inadequately Applied to Language Models and Zimmer, M
Reference 47
Source-reported events for the cited work
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Observation a4cd134d-9d3c-43cd-8ef2-9f379c3e8b2d · outbound
Position: Contextual Integrity is Inadequately Applied to Language Models Mitigate Position Bias in Large Language Models via Scaling a Single Dimension
Reference 48
Source-reported events for the cited work
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Observation 6d0d6e7d-4eb6-4bf2-a3e8-35ba6530e740 · outbound
Position: Contextual Integrity is Inadequately Applied to Language Models Can we instruct llms to compensate for position bias? In Findings of the Association for Computational Linguistics: EMNLP 2024, pp.\ 12545--12556, 01 2024
Reference 49
Source-reported events for the cited work
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Observation 706aecdb-4b85-4ac4-96e5-ac0ebf7b786b · outbound
Position: Contextual Integrity is Inadequately Applied to Language Models Large Language Models Are Not Robust Multiple Choice Selectors
Reference 50
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 71d6d510-2c54-4a0b-a8f7-a0340f47c872 · outbound
Position: Contextual Integrity is Inadequately Applied to Language Models P ro SA : Assessing and understanding the prompt sensitivity of LLM s
Reference 51
Source-reported events for the cited work
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Observation b8147f48-5bde-433e-bdb4-bbbe846aa516 · inbound
Reinforcement Learning for Scalable and Trustworthy Intelligent Systems Position: Contextual Integrity is Inadequately Applied to Language Models
Reference 139
Source-reported events for the cited work
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Observation b51679b9-940d-4cf0-95e3-3dd3fd78314d · inbound
Agents That Know Too Much: A Data-Centric Survey of Privacy in LLM Agents Position: Contextual Integrity is Inadequately Applied to Language Models
Reference 102
Source-reported events for the cited work
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