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Paper Citation Record · LEDGER

Position: Contextual Integrity is Inadequately Applied to Language Models

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.

pith.paper-citation-record.v1
2501.19173 v2

Coverage vector

measured 51 of 51 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-09T21:05:08.912076Z

measured 53 of 53 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-26T04:29:16.386339Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T14:09:53.326323Z

Reference resolution

51 of 51 outbound references displayed

  • verified exact2
  • verified fuzzy20
  • unresolved29
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 468d6136-668e-4739-a4af-1086ec865817 · outbound

This paper cites write newline.

Position: Contextual Integrity is Inadequately Applied to Language Models write newline

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-09T21:05:08.710738Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T21:05:08.710738Z digest=sha256:ca18ce3d5ec879de4717fc0e605579a4986af6c0667ccc6c1e65b87c0477587d

Observation b0144532-a5a2-4eca-a688-5e1022c1c0aa · outbound

This paper cites GPT-4 Technical Report.

Position: Contextual Integrity is Inadequately Applied to Language Models GPT-4 Technical Report

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-09T21:05:08.715740Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T21:05:08.715740Z digest=sha256:113788de502814976c2b9c1b3c4a9b228213feb01aef583cf5d1defd665b954d

Observation a7f05cf9-8d84-4b15-85c4-e30ffebee6de · outbound

This paper cites AirGapAgent: Protecting Privacy-Conscious Conversational Agents.

Position: Contextual Integrity is Inadequately Applied to Language Models AirGapAgent: Protecting Privacy-Conscious Conversational Agents

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-09T21:05:08.720615Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T21:05:08.720615Z digest=sha256:cb7ce468c7652e59c34c9adbdb721cc2e9bc695d461e4690d4797ee4c215949d

Observation 82c8b620-ac74-4ee0-85d8-4da441f9baf3 · outbound

This paper cites C., and Nissenbaum, H.

Position: Contextual Integrity is Inadequately Applied to Language Models C., and Nissenbaum, H

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T21:05:09.713501Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T21:05:08.724947Z digest=sha256:86b4eeed8f3a5d503daabeb344cbd636dd024e3595a9ff6c5bf5c6e72f8ff81b

Observation de93758d-4b91-47c5-a972-bd4b50f88f2f · outbound

This paper cites Contextual integrity through the lens of computer science.

Position: Contextual Integrity is Inadequately Applied to Language Models Contextual integrity through the lens of computer science

Reference 5

Resolution
verified exact
doi, observed 2026-08-09T21:05:08.989393Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T21:05:08.729153Z digest=sha256:12e3b77791b8c2b324e9e3d9d6d6707eb1a199a551a9cce836df5a83f9ca7380

Observation ee9bcf2e-a60d-450f-ab4f-fe92d2687ae6 · outbound

This paper cites What does it mean for a language model to preserve privacy? In ACM Conference on Fairness, Accountability, and Transparency, pp.\ 2280--2292, 2022.

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

Resolution
unresolved
no resolver link, observed 2026-08-09T21:05:08.733452Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T21:05:08.733452Z digest=sha256:d6d0f505bc3c44b47ac4790bc0f27a428463417163eb7eb56aecbf3d7a73f487

Observation 37aa3851-2387-48c6-9c53-0665b0784298 · outbound

This paper cites On the Worst Prompt Performance of Large Language Models.

Position: Contextual Integrity is Inadequately Applied to Language Models On the Worst Prompt Performance of Large Language Models

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-09T21:05:08.737632Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T21:05:08.737632Z digest=sha256:637ba9c44d4df16ad0ab670c9bb9a825149fcc6f4bcdbe5771fe86ba9b6966cc

Observation 0ffca8af-c042-406e-947c-3ef74962dd72 · outbound

This paper cites CI-Bench: Benchmarking Contextual Integrity of AI Assistants on Synthetic Data.

Position: Contextual Integrity is Inadequately Applied to Language Models CI-Bench: Benchmarking Contextual Integrity of AI Assistants on Synthetic Data

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-09T21:05:08.742309Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T21:05:08.742309Z digest=sha256:89c87ee6d0b784d5f43cff199634039588a8033a5ea1080995ef3d124e1ca112

Observation a7a68ed0-9706-4fd2-a247-89b07ef0bb93 · outbound

This paper cites Logical specification of the glba and hipaa privacy laws.

Position: Contextual Integrity is Inadequately Applied to Language Models Logical specification of the glba and hipaa privacy laws

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T21:05:09.701794Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T21:05:08.746694Z digest=sha256:a8c3ac5cbe717bc006056a2d0cfe8e7e0f8014e26d1aa7657de79b40df4aaa3d

Observation c045c50b-9e61-4c9f-a140-7c54fc23285f · outbound

This paper cites The Llama 3 Herd of Models.

Position: Contextual Integrity is Inadequately Applied to Language Models The Llama 3 Herd of Models

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-09T21:05:08.750444Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T21:05:08.750444Z digest=sha256:03cb0d3eb6730c1389c72bee699dae5da3a087de3298a3332df6a4ba67821323

Observation 292014f4-e0f0-408a-bac3-71ba33cbf56c · outbound

This paper cites Law's empire.

Position: Contextual Integrity is Inadequately Applied to Language Models Law's empire

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T21:05:09.687214Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T21:05:08.754853Z digest=sha256:ef79e56fa2007494f9f05798863f0c0069f42dff15c1f995a539a4d045afcc7b

Observation 0a845fc1-5fe7-4c37-bef4-c2b629d550c4 · outbound

This paper cites What Did I Do Wrong? Quantifying LLMs' Sensitivity and Consistency to Prompt Engineering.

Position: Contextual Integrity is Inadequately Applied to Language Models What Did I Do Wrong? Quantifying LLMs' Sensitivity and Consistency to Prompt Engineering

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-09T21:05:08.758947Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T21:05:08.758947Z digest=sha256:6cde61e22c0c5805c4e738092f3b3ccea7020fd8110cb628053929eeaa06f468

Observation 0d7bc8fb-06cf-475f-9fd4-bd11e90fc7ed · outbound

This paper cites GoldCoin: Grounding Large Language Models in Privacy Laws via Contextual Integrity Theory.

Position: Contextual Integrity is Inadequately Applied to Language Models GoldCoin: Grounding Large Language Models in Privacy Laws via Contextual Integrity Theory

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-09T21:05:08.763262Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T21:05:08.763262Z digest=sha256:da420025fb2d2643579e546f9a741a2e8a64676c2d4c1bda3c655b28bc532440

Observation cf7f4cce-4135-47a0-a249-814f92a6593e · outbound

This paper cites and Mori, T.

Position: Contextual Integrity is Inadequately Applied to Language Models and Mori, T

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T21:05:09.674859Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T21:05:08.767466Z digest=sha256:dd62edb50b85dd65c7e1aff5ecfc7a9fdfac7b6193697e89f287ce8544823d89

Observation 4df36041-bac0-44e2-a9af-e1937da761b3 · outbound

This paper cites Pal: Program-aided language models.

Position: Contextual Integrity is Inadequately Applied to Language Models Pal: Program-aided language models

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-09T21:05:08.771314Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T21:05:08.771314Z digest=sha256:ba9b8f233bca8e3c6ef1d660384360b8f84f7eb1ecef7be4b0b07cf995e1c443

Observation 74eefd8e-3ef1-4bd4-b1dd-b28146659298 · outbound

This paper cites Privacy and the limits of law.

Position: Contextual Integrity is Inadequately Applied to Language Models Privacy and the limits of law

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T21:05:09.655510Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T21:05:08.775105Z digest=sha256:d446e5a718908892166528b6fd848e29c357a6051636b4557a233763c39e6a3a

Observation 857730ee-f8dd-4203-a53b-b95dcc4e3d0f · outbound

This paper cites Gemini: A Family of Highly Capable Multimodal Models.

Position: Contextual Integrity is Inadequately Applied to Language Models Gemini: A Family of Highly Capable Multimodal Models

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-09T21:05:08.779233Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T21:05:08.779233Z digest=sha256:dad5a95f4c48e8c8b8abc95f7364c598803a667d6d975c8c0fda991cad1d9f58

Observation 6d178f6b-d368-40e6-845f-0987ce27dac7 · outbound

This paper cites L., Kreuter, F., and Zins, S.

Position: Contextual Integrity is Inadequately Applied to Language Models L., Kreuter, F., and Zins, S

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T21:05:09.643143Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T21:05:08.783253Z digest=sha256:6a18ebebc52c481793c9cd9741874ac051cc8f40bd822c0cc14204981dcbaac7

Observation a516e637-81c7-488f-b604-6edc6b4a330c · outbound

This paper cites Operationalizing Contextual Integrity in Privacy-Conscious Assistants.

Position: Contextual Integrity is Inadequately Applied to Language Models Operationalizing Contextual Integrity in Privacy-Conscious Assistants

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-09T21:05:08.787378Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T21:05:08.787378Z digest=sha256:d86eccc4488c0cd22957e87e22963d35b5751cd877f5969fcc0ff61527f4067d

Observation 0d3e6bee-107e-4132-a0b0-0b6173492331 · outbound

This paper cites Can LLMs get help from other LLMs without revealing private information?.

Position: Contextual Integrity is Inadequately Applied to Language Models Can LLMs get help from other LLMs without revealing private information?

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-09T21:05:08.791810Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T21:05:08.791810Z digest=sha256:1b31ebd5431aa5800d0b90f7879a722bc6c7ddd7896e6ab539ff0a9b574516f4

Observation 26c961d9-5458-4eb0-855c-399b9c9b23d9 · outbound

This paper cites Social Bias Evaluation for Large Language Models Requires Prompt Variations.

Position: Contextual Integrity is Inadequately Applied to Language Models Social Bias Evaluation for Large Language Models Requires Prompt Variations

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-09T21:05:08.795859Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T21:05:08.795859Z digest=sha256:5f25862ee66a0d0153d45e0520cb6354b3e537d863ddee09b7e1ed2fb1a1d914

Observation fa101458-d3f0-483d-b6a5-d4a7cbb8bd7a · outbound

This paper cites Found in the Middle: Calibrating Positional Attention Bias Improves Long Context Utilization.

Position: Contextual Integrity is Inadequately Applied to Language Models Found in the Middle: Calibrating Positional Attention Bias Improves Long Context Utilization

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-09T21:05:08.800108Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T21:05:08.800108Z digest=sha256:e45b7ae59049d11932a907b8be0d78f1c5aca092b38cc0b424b512f64b1f5c80

Observation 898a2611-6377-4b8d-b2df-be50100fd0dc · outbound

This paper cites Internet-augmented dialogue generation.

Position: Contextual Integrity is Inadequately Applied to Language Models Internet-augmented dialogue generation

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T21:05:09.631120Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T21:05:08.804317Z digest=sha256:d2ccb817df918a5892020395c96035806ba0fe9edea1b32ee6bc68646d32a35f

Observation 34f1d481-90f1-45f1-bcd6-916962b85c87 · outbound

This paper cites Privacy Checklist: Privacy Violation Detection Grounding on Contextual Integrity Theory.

Position: Contextual Integrity is Inadequately Applied to Language Models Privacy Checklist: Privacy Violation Detection Grounding on Contextual Integrity Theory

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-09T21:05:08.808134Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T21:05:08.808134Z digest=sha256:c4a22abe85bf42df2d060cf43d7ebb991cf6f6deeb27d3bb2546bae39f4f6333

Observation 32b24589-3ced-4ce3-a24e-c07c2dc051c8 · outbound

This paper cites Exploring the sensitivity of LLM s ' decision-making capabilities: Insights from prompt variations and hyperparameters.

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

Resolution
unresolved
no resolver link, observed 2026-08-09T21:05:08.812157Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T21:05:08.812157Z digest=sha256:8f6a807718c7ebcc490d80002b57598e681faf5ee555ab2ea11a78fc66a7ecf2

Observation 50b330bd-04a3-473d-bca3-293959a171e1 · outbound

This paper cites How are prompts different in terms of sensitivity? In Duh, K., Gomez, H., and Bethard, S.

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

Resolution
unresolved
no resolver link, observed 2026-08-09T21:05:08.816112Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T21:05:08.816112Z digest=sha256:5b5f26e576fce0e30e8ae16d28d2e4000c7f240d8e0746525428f7865a610539

Observation ba8ba18a-26de-4a7a-a8fe-911358b77716 · outbound

This paper cites and Nissenbaum, H.

Position: Contextual Integrity is Inadequately Applied to Language Models and Nissenbaum, H

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T21:05:09.618957Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T21:05:08.820097Z digest=sha256:d090927427433e6856600b9e35e74710691e1ebcf7e6a7120c5ca3420ef7b2e2

Observation 30128ed4-bf6c-4bfa-83af-07450a271981 · outbound

This paper cites Can llms keep a secret? testing privacy implications of language models via contextual integrity theory.

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T21:05:09.606149Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T21:05:08.823834Z digest=sha256:9d4308dca57cf2fb3c6e8b0bbdf528920df47cd18a602eaa49d98b7c8600cdf5

Observation e9f16788-2aff-45ec-adba-606549936692 · outbound

This paper cites State of what art? a call for multi-prompt llm evaluation.

Position: Contextual Integrity is Inadequately Applied to Language Models State of what art? a call for multi-prompt llm evaluation

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T21:05:09.594208Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T21:05:08.827853Z digest=sha256:069ee68891315a42fa202536307706145099be2a65a110550eb0411598cce515

Observation d92cdfaf-8499-42bc-b234-1ddd0b152a64 · outbound

This paper cites C., Kadhe, S., Wang, H., Murugesan, K., Weisz, J.

Position: Contextual Integrity is Inadequately Applied to Language Models C., Kadhe, S., Wang, H., Murugesan, K., Weisz, J

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T21:05:09.581997Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T21:05:08.831392Z digest=sha256:c3eaf4fd3be570ecb0a69be235922e22ce67adda7de70c3196da67565c280b77

Observation 2cc7058a-6f11-4f60-9a7c-a1b60ce631f3 · outbound

This paper cites Privacy as contextual integrity.

Position: Contextual Integrity is Inadequately Applied to Language Models Privacy as contextual integrity

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T21:05:09.568837Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T21:05:08.835079Z digest=sha256:48216df1b05c858efddc362511a6f7c72a32098b45049baa1fafefd3df33af69

Observation 02b9b1ce-d070-4764-acb6-dbe805601cad · outbound

This paper cites Privacy in context: Technology, policy, and the integrity of social life.

Position: Contextual Integrity is Inadequately Applied to Language Models Privacy in context: Technology, policy, and the integrity of social life

Reference 32

Resolution
verified exact
doi, observed 2026-08-09T21:05:08.962988Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T21:05:08.838825Z digest=sha256:83b6d9e2bd072d0b2a1c5ea598e800be1b2fbd3ec130fd26adef763f74410b5a

Observation 2bafd46a-4b6d-44ef-afc0-6052bf206aaa · outbound

This paper cites Respect for context as a benchmark for privacy online: What it is and isn't.

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T21:05:09.556222Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T21:05:08.842505Z digest=sha256:d87c2362ab0fa9f2c58e9eea9a8f1ab7af42567556dcbaeb0c0d3db4bd7d11b4

Observation 61e5c2fd-b32d-4328-bcd2-4143fe016a15 · outbound

This paper cites Contextual integrity up and down the data food chain.

Position: Contextual Integrity is Inadequately Applied to Language Models Contextual integrity up and down the data food chain

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T21:05:09.544290Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T21:05:08.846167Z digest=sha256:4344213b7366124c46d49625cd0683bec8f24f866a70ba0d80ed1f0dbd0b7a9c

Observation f9e8831f-adbe-4dae-aa58-f58a60b43f06 · outbound

This paper cites Foreword by Helen Nissenbaum.

Position: Contextual Integrity is Inadequately Applied to Language Models Foreword by Helen Nissenbaum

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T21:05:09.532869Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T21:05:08.850074Z digest=sha256:431ebfc136682307d6ccf4c838128a0a8079ca6e5e4061a0e1f7edbed0456dec

Observation 7cc70d66-50a4-4f0b-855b-fadd4b2fa068 · outbound

This paper cites TALM: Tool Augmented Language Models.

Position: Contextual Integrity is Inadequately Applied to Language Models TALM: Tool Augmented Language Models

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-09T21:05:08.853980Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T21:05:08.853980Z digest=sha256:0ebc4ca7545b1c86d8157d2cddd85419e126766caa83f7fbdc50f79098b8953a

Observation 38f12346-f490-43d6-a617-77e1e8b68d87 · outbound

This paper cites Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context.

Position: Contextual Integrity is Inadequately Applied to Language Models Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context

Reference 37

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no resolver link, observed 2026-08-09T21:05:08.858266Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T21:05:08.858266Z digest=sha256:7d685e99434d27c6e41d8e41a0588df980b6f6fae4d0bb80f231fe0e93ad31dd

Observation 86f6cb67-0af7-4691-b73e-ed77317bebff · outbound

This paper cites Toolformer: Language models can teach themselves to use tools.

Position: Contextual Integrity is Inadequately Applied to Language Models Toolformer: Language models can teach themselves to use tools

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T21:05:09.521169Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T21:05:08.862207Z digest=sha256:5aded904b010d672e9c61763057fdd11e390051dfcef5f89531182026868742c

Observation 1b85b323-0236-4f4e-8ffb-71ef09e46c02 · outbound

This paper cites Quantifying language models' sensitivity to spurious features in prompt design or: How i learned to start worrying about prompt formatting.

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

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unresolved
no resolver link, observed 2026-08-09T21:05:08.866160Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T21:05:08.866160Z digest=sha256:09365899ce82588c8d64bd6ade6d8421e3fed2df8c0aecfa824a1206b1839a17

Observation 0f0fe9d3-a160-4035-bee3-931f5fc0ff52 · outbound

This paper cites PrivacyLens: Evaluating Privacy Norm Awareness of Language Models in Action.

Position: Contextual Integrity is Inadequately Applied to Language Models PrivacyLens: Evaluating Privacy Norm Awareness of Language Models in Action

Reference 40

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no resolver link, observed 2026-08-09T21:05:08.869966Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-09T21:05:08.869966Z digest=sha256:9c6dcfb633e8a12eeba4da8c4e4cb547f93881cdfd61714bec63516bc971494d

Observation d20e6a63-3b83-4daa-b223-684f47ddc579 · outbound

This paper cites Judging the judges: A systematic investigation of position bias in pairwise comparative assessments by llms.

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

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unresolved
no resolver link, observed 2026-08-09T21:05:08.873848Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-09T21:05:08.873848Z digest=sha256:e7f2c5a6bcfbf0df7593a310465dac1ec959e526bc4cbd8ff6c75972eb70d7e7

Observation 713950fb-f853-4a24-bfe7-f5ef67d8e98c · outbound

This paper cites and Duddu, V.

Position: Contextual Integrity is Inadequately Applied to Language Models and Duddu, V

Reference 42

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no resolver link, observed 2026-08-09T21:05:08.877549Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-09T21:05:08.877549Z digest=sha256:fe0cf4788480baed209c06cdafb657e4904a7b8f5451511afd2507dda93f8b16

Observation f5f52c5c-2d8e-4bf5-9cd5-721677a4caf2 · outbound

This paper cites Learning privacy expectations by crowdsourcing contextual informational norms.

Position: Contextual Integrity is Inadequately Applied to Language Models Learning privacy expectations by crowdsourcing contextual informational norms

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T21:05:09.502564Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T21:05:08.881490Z digest=sha256:57af8bcc576d13d764512c1617d126a8b5a4d8e5abd118bb00f86fd87852e365

Observation 3c7d4caf-f53b-453a-a94c-389d77989340 · outbound

This paper cites VACCINE : Using Contextual Integrity ForData Leakage Detection.

Position: Contextual Integrity is Inadequately Applied to Language Models VACCINE : Using Contextual Integrity ForData Leakage Detection

Reference 44

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no resolver link, observed 2026-08-09T21:05:08.885040Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-09T21:05:08.885040Z digest=sha256:1c2508256460fca463d5f41d53458eeed9a452b2b35c05d2ef6e546a2adb155a

Observation af1e07ba-ad0a-404b-b3eb-83d1cc0f24b5 · outbound

This paper cites and Bonotti, M.

Position: Contextual Integrity is Inadequately Applied to Language Models and Bonotti, M

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T21:05:09.490445Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T21:05:08.888690Z digest=sha256:90c87717b9f082d6e7fb9ff5c7fec0d499d9bf1515ed40c83f0f2b799682320c

Observation 8d3f5917-0372-4ed3-a9cc-443dc6fb0dd6 · outbound

This paper cites M., Herbert, F., Schaewitz, L., Degeling, M., and D \"u rmuth, M.

Position: Contextual Integrity is Inadequately Applied to Language Models M., Herbert, F., Schaewitz, L., Degeling, M., and D \"u rmuth, M

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T21:05:09.478808Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T21:05:08.892454Z digest=sha256:2c14c4ac4d4390ee1920d7d898509f20cb02bee35867d09d196e733a2398a6de

Observation 7b022b0c-8175-45da-bf7b-621428ce1227 · outbound

This paper cites and Zimmer, M.

Position: Contextual Integrity is Inadequately Applied to Language Models and Zimmer, M

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T21:05:09.466056Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T21:05:08.896130Z digest=sha256:68614e4b905e812f118f951b57e9ffb858213bccc4ad6c8c83bd066fcff98078

Observation a4cd134d-9d3c-43cd-8ef2-9f379c3e8b2d · outbound

This paper cites Mitigate Position Bias in Large Language Models via Scaling a Single Dimension.

Position: Contextual Integrity is Inadequately Applied to Language Models Mitigate Position Bias in Large Language Models via Scaling a Single Dimension

Reference 48

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unresolved
no resolver link, observed 2026-08-09T21:05:08.899769Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T21:05:08.899769Z digest=sha256:ebc81c9bb21da28ec3a5a6b6bdbeb2a5ed4db89f71700989f30b9ea625d324e6

Observation 6d0d6e7d-4eb6-4bf2-a3e8-35ba6530e740 · outbound

This paper cites Can we instruct llms to compensate for position bias? In Findings of the Association for Computational Linguistics: EMNLP 2024, pp.\ 12545--12556, 01 2024.

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

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unresolved
no resolver link, observed 2026-08-09T21:05:08.903889Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T21:05:08.903889Z digest=sha256:d72dcf7bbd01ec1e40b9466eed30fbc827c426ac1f93eb639455006d00aa0265

Observation 706aecdb-4b85-4ac4-96e5-ac0ebf7b786b · outbound

This paper cites Large Language Models Are Not Robust Multiple Choice Selectors.

Position: Contextual Integrity is Inadequately Applied to Language Models Large Language Models Are Not Robust Multiple Choice Selectors

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-09T21:05:08.907649Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T21:05:08.907649Z digest=sha256:9f0c938677cefe8276e0182aa9c3981b4aabafc504365f97931ba89479ed1fc5

Observation 71d6d510-2c54-4a0b-a8f7-a0340f47c872 · outbound

This paper cites P ro SA : Assessing and understanding the prompt sensitivity of LLM s.

Position: Contextual Integrity is Inadequately Applied to Language Models P ro SA : Assessing and understanding the prompt sensitivity of LLM s

Reference 51

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unresolved
no resolver link, observed 2026-08-09T21:05:08.912076Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T21:05:08.912076Z digest=sha256:b90bec2d74b64379bf3a6f1de48c19a89cab01dcc706bd75dac54c4b778665fb

Pith citing papers

Observation b8147f48-5bde-433e-bdb4-bbbe846aa516 · inbound

Reinforcement Learning for Scalable and Trustworthy Intelligent Systems cites this paper.

Reinforcement Learning for Scalable and Trustworthy Intelligent Systems Position: Contextual Integrity is Inadequately Applied to Language Models

Reference 139

Resolution
verified exact
arxiv_id, observed 2026-05-12T07:51:40.014388Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-12T01:47:40.772146Z digest=sha256:b4534e967e978d77f6327c0da8a1daf4820d5bf83bb092e6f08e550dd562904b

Observation b51679b9-940d-4cf0-95e3-3dd3fd78314d · inbound

Agents That Know Too Much: A Data-Centric Survey of Privacy in LLM Agents cites this paper.

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

Resolution
verified exact
arxiv_id, observed 2026-07-04T14:09:53.327834Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-26T04:29:16.386339Z digest=sha256:a3790edda2ddc302da7d4c14f7c0b4ecc2f8a36dae891d0e6eee2ccec83324ee