Pith. sign in

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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-09T21:05:08.724947Z digest=sha256:eda11621848cc051d38877515efeff72980ca05947f2271320d8e6e477949f6f

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-09T21:05:08.729153Z digest=sha256:7eb6510e021b8442b3f083f11faecc6456da887a0be1b92ce1ac21f65d049623

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-09T21:05:08.746694Z digest=sha256:61a3847fd59722c8273317317ba8b82f7dddae27f8e5925e87bbe00d6308f02e

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-09T21:05:08.754853Z digest=sha256:2d21877bd6b9860017e28373c370d5db9f73a3870c8ebcfd208812ca4fc5996a

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-09T21:05:08.767466Z digest=sha256:5b5abaef1ca5391b94e73a20501af8cb6ce1cdd3ef48a55ab3d013f10da84a90

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-09T21:05:08.775105Z digest=sha256:c3164bb3028584365b05cacab6c15bb2cbf2830df0e8fbbe8a84c4fcda469805

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-09T21:05:08.783253Z digest=sha256:f406092839eef8363afcce3a2127cac50f0c787adeb1176bd1346744fa3babf8

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-09T21:05:08.804317Z digest=sha256:f4fe78e66f544e6c8898cb3d734aa4ae439645b1097327e893db8ab9b5bd0904

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-09T21:05:08.820097Z digest=sha256:e4a0408bc00c3f1011565aa323c34e3bab6c3c920ee2c055bde824aa8a9d705a

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-09T21:05:08.823834Z digest=sha256:f77cb73c2f3a0b36186d25921eba471efe2c9c374674e4c73ca902cbf2cde805

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-09T21:05:08.827853Z digest=sha256:e607b070cc9b6fdda13cc036eee0db15269a6a8f8d0b403714ce7016fee30c3f

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-09T21:05:08.831392Z digest=sha256:de1cd798adea821890818b4489258f65e9419a60e66c86d71ba68340edf0b089

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-09T21:05:08.835079Z digest=sha256:dc06b828f21affc910d3509cec00d81975eb196eb4bc1afdf58acffe6e12983c

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-09T21:05:08.838825Z digest=sha256:ff898366331597fdc9bb82d89d49118cf3083efa8accd0a1169e1b41e22192f9

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-09T21:05:08.842505Z digest=sha256:6a0fc2647d98e4164f25b8b215fc7d3d2433bad8a1bc02609331827de5fdbc20

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-09T21:05:08.846167Z digest=sha256:e6fee955f35e273cf6384759a0dac7c26bcf5eeff0f49e5106691d32929b997e

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-09T21:05:08.850074Z digest=sha256:adec1b717a31f649ad03089e55a7a3242b691a42ce7686564bdef24d3854141e

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

Resolution
unresolved
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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-09T21:05:08.862207Z digest=sha256:2e4a333a08c105fafb1bc220c4350b8a07ce087a1930d4eae1a60c89434686fc

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

Resolution
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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-09T21:05:08.881490Z digest=sha256:a3ee317b39777e450bd80027c153d0e3ad543d3062e680edfceb11ca77270c87

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-09T21:05:08.888690Z digest=sha256:a4695958747f70a747cde53a8f2db1b2ec179fff17aa1b47870e601847d40839

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-09T21:05:08.892454Z digest=sha256:d080d509f66be09634501bacf3893f71f4101c10ec4b997964cc87374472bd47

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-09T21:05:08.896130Z digest=sha256:e5fcb60aecd6d546ffa6ffcfd806e4a10e0f810ab8b0b7ac307968c12e25f0c8

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

Resolution
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

Resolution
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

Resolution
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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-12T01:47:40.772146Z digest=sha256:c57d01dee830572db79e216e827a9043c9bdf7e2c2f366e0715ec1783d22cee4

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-26T04:29:16.386339Z digest=sha256:24b30c4b39b0fb1b4fe445118d0be1a7632f4da9ab77727d8992082a6815ba15