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Paper Citation Record · LEDGER

Beyond Memorization: Violating Privacy Via Inference with Large Language Models

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 38 inbound Pith citation observations for arXiv:2310.07298.

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

pith.paper-citation-record.v1
2310.07298 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 38 of 38 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 38 of 38 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T04:35:58.235438Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

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  • verified fuzzy0
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  • malformed identifier0
  • metadata mismatch0

External citation measurements

35
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 42ed5d62-915a-4097-aefe-be2b5dc51ef9 · inbound

AIDBench: A benchmark for evaluating the authorship identification capability of large language models cites this paper.

AIDBench: A benchmark for evaluating the authorship identification capability of large language models Beyond Memorization: Violating Privacy Via Inference with Large Language Models

Reference 23

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no resolver link, observed 2026-08-12T16:44:36.735026Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T16:44:36.735026Z digest=sha256:6b06e866fb749121f8d07a6f02cbf8440efb160bffcc1e9396883a05dd025a9c

Observation 938f0398-b28f-4522-b371-76000aba355a · inbound

InputSnatch: Stealing Input in LLM Services via Timing Side-Channel Attacks cites this paper.

InputSnatch: Stealing Input in LLM Services via Timing Side-Channel Attacks Beyond Memorization: Violating Privacy Via Inference with Large Language Models

Reference 108

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no resolver link, observed 2026-08-12T11:29:29.591404Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T11:29:29.591404Z digest=sha256:e643204107ea1cef80caf8afe0debaeb61d21506afa7125537de4038e4247b29

Observation 5b9d2543-4a8f-4116-bf3f-f2ad6cfea77c · inbound

From Lived Experience to Insight: Unpacking the Psychological Risks of Using AI Conversational Agents cites this paper.

From Lived Experience to Insight: Unpacking the Psychological Risks of Using AI Conversational Agents Beyond Memorization: Violating Privacy Via Inference with Large Language Models

Reference 98

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no resolver link, observed 2026-08-11T18:27:26.423930Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T18:27:26.423930Z digest=sha256:d89362de9ce16ad4476d324db3869bb6f82c249cc23cc3478ab2147196ffd1a4

Observation 7729faac-0160-4be2-a3bb-18bc9e94639f · inbound

Socio-Culturally Aware Evaluation Framework for LLM-Based Content Moderation cites this paper.

Socio-Culturally Aware Evaluation Framework for LLM-Based Content Moderation Beyond Memorization: Violating Privacy Via Inference with Large Language Models

Reference 40

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no resolver link, observed 2026-08-11T13:05:51.152903Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T13:05:51.152903Z digest=sha256:47796df9f1c46378e12edb257d9165b0bc8f809a7a2a428c50771fdafc0340da

Observation 0aef486a-a3f1-4c21-9886-3a83dc7bb34f · inbound

Measuring, Modeling, and Helping People Account for Privacy Risks in Online Self-Disclosures with AI cites this paper.

Measuring, Modeling, and Helping People Account for Privacy Risks in Online Self-Disclosures with AI Beyond Memorization: Violating Privacy Via Inference with Large Language Models

Reference 79

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no resolver link, observed 2026-08-11T11:43:08.155569Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T11:43:08.155569Z digest=sha256:dd11df4049f61a34cddb5ee7183d6b9a927aea65c8a9574ef90eb01640c4eabe

Observation 5ae4c724-bab8-4352-8f65-4e9c73bd9c60 · inbound

Agents Are All You Need for LLM Unlearning cites this paper.

Agents Are All You Need for LLM Unlearning Beyond Memorization: Violating Privacy Via Inference with Large Language Models

Reference 39

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no resolver link, observed 2026-08-09T19:14:53.735213Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T19:14:53.735213Z digest=sha256:cfce0ff1cc20a411f795fc82a7bfb718d823641b1b9ead2e98ab0b3935dfa6ee

Observation 1f31ae7c-6ec8-478b-b900-64c19962d63f · inbound

Membership Inference Risks in Quantized Models: A Theoretical and Empirical Study cites this paper.

Membership Inference Risks in Quantized Models: A Theoretical and Empirical Study Beyond Memorization: Violating Privacy Via Inference with Large Language Models

Reference 46

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no resolver link, observed 2026-08-08T15:08:46.251622Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T15:08:46.251622Z digest=sha256:8b15fc3d5f3d5b66d48b44f099aa0d5e0aea4f4f01071fb6aad40f7023c13279

Observation 1470de2b-b03f-4f8d-8fba-76e0213af8e8 · inbound

Preserving Privacy and Utility in LLM-Based Product Recommendations cites this paper.

Preserving Privacy and Utility in LLM-Based Product Recommendations Beyond Memorization: Violating Privacy Via Inference with Large Language Models

Reference 48

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no resolver link, observed 2026-08-16T04:35:58.235438Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:35:58.235438Z digest=sha256:259dee9988f48b3739e50d55bca97021f71541ae6eaab33b12afa16a1baced89

Observation 6eb2dca1-92bb-4753-8357-e7255e78bca8 · inbound

A Survey on Privacy Risks and Protection in Large Language Models cites this paper.

A Survey on Privacy Risks and Protection in Large Language Models Beyond Memorization: Violating Privacy Via Inference with Large Language Models

Reference 10

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no resolver link, observed 2026-08-16T04:07:36.250448Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:07:36.250448Z digest=sha256:7edc331e1fd6ce204d90b5ae89c66a925f8391aee9a12cab30d09d3c7c54dac3

Observation 79fa4742-db69-4a0f-bca2-4b7b17aa78bc · inbound

Personalized Author Obfuscation with Large Language Models cites this paper.

Personalized Author Obfuscation with Large Language Models Beyond Memorization: Violating Privacy Via Inference with Large Language Models

Reference 32

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no resolver link, observed 2026-08-15T20:45:03.457686Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T20:45:03.457686Z digest=sha256:c5a4d94bd2d32c23f64505deed12b28786de86166752cf1fba0e3107900775d0

Observation 2baaf251-8055-4499-b99b-c2a655b296fd · inbound

GUARD: Generation-time LLM Unlearning via Adaptive Restriction and Detection cites this paper.

GUARD: Generation-time LLM Unlearning via Adaptive Restriction and Detection Beyond Memorization: Violating Privacy Via Inference with Large Language Models

Reference 83

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no resolver link, observed 2026-08-15T20:21:39.880350Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:21:39.880350Z digest=sha256:e16baf47c014c654b5536ee9e8e727c3764c852891f8ee65ccc486f92d78be43

Observation 916cb51a-310c-4954-a515-4275a705dac3 · inbound

Reality Check: A New Evaluation Ecosystem Is Necessary to Understand AI's Real World Effects cites this paper.

Reality Check: A New Evaluation Ecosystem Is Necessary to Understand AI's Real World Effects Beyond Memorization: Violating Privacy Via Inference with Large Language Models

Reference 94

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no resolver link, observed 2026-08-07T14:26:35.149807Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:26:35.149807Z digest=sha256:abd9c765fed14d2a09646a3b2176cfe39b677076fe7d6698aa826ca22e886321

Observation 6a885ac8-3070-484a-b125-0c09a2b587c3 · inbound

Dr. GPT Will See You Now, but Should It? Exploring the Benefits and Harms of Large Language Models in Medical Diagnosis using Crowdsourced Clinical Cases cites this paper.

Dr. GPT Will See You Now, but Should It? Exploring the Benefits and Harms of Large Language Models in Medical Diagnosis using Crowdsourced Clinical Cases Beyond Memorization: Violating Privacy Via Inference with Large Language Models

Reference 50

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no resolver link, observed 2026-08-07T01:06:47.184577Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T01:06:47.184577Z digest=sha256:887382e1f33dd0595fb31d668959c282793d422831523f713d1b95561cbd1699

Observation 99008466-92fc-47f2-a298-e5e4eab28150 · inbound

Understanding How University Guidelines Address Privacy and Security Issues of Generative AI in Academic Settings cites this paper.

Understanding How University Guidelines Address Privacy and Security Issues of Generative AI in Academic Settings Beyond Memorization: Violating Privacy Via Inference with Large Language Models

Reference 78

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no resolver link, observed 2026-08-06T22:50:00.818440Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:50:00.818440Z digest=sha256:1a5160225477d151cf7b0ed0bd6ba96f3caf7a3ed79bec1ffc3b4eeb3a5295a5

Observation 631b130a-e5ae-45b6-82a5-eda49b418f47 · inbound

What Should LLMs Forget? Quantifying Personal Data in LLMs for Right-to-Be-Forgotten Requests cites this paper.

What Should LLMs Forget? Quantifying Personal Data in LLMs for Right-to-Be-Forgotten Requests Beyond Memorization: Violating Privacy Via Inference with Large Language Models

Reference 56

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no resolver link, observed 2026-08-06T17:21:33.754016Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:21:33.754016Z digest=sha256:96ece45b0f3192011415208b61068331f9fcc0365796224cd41d982ea1774290

Observation 3c4a6443-a344-4ecd-85c8-579edc7daf67 · inbound

PromptArmor: Simple yet Effective Prompt Injection Defenses cites this paper.

PromptArmor: Simple yet Effective Prompt Injection Defenses Beyond Memorization: Violating Privacy Via Inference with Large Language Models

Reference 37

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unresolved
no resolver link, observed 2026-08-06T15:42:01.041020Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T15:42:01.041020Z digest=sha256:f54bac2375abc18979c4ea7e453384dcf792cf71faa476603542a49c4006896b

Observation 13375ff6-15fa-4a4b-ba95-5de4e47f2642 · inbound

Understanding the Supply Chain and Risks of Large Language Model Applications cites this paper.

Understanding the Supply Chain and Risks of Large Language Model Applications Beyond Memorization: Violating Privacy Via Inference with Large Language Models

Reference 20

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no resolver link, observed 2026-08-06T14:45:42.897645Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:45:42.897645Z digest=sha256:89eaa9fcf7874150cfac45dfc90b9e6722d6414791ef2699e06e7e1553fbc967

Observation 2577e1d2-8f0e-40b2-94e6-2b8a90edffcd · inbound

A Survey on Data Security in Large Language Models cites this paper.

A Survey on Data Security in Large Language Models Beyond Memorization: Violating Privacy Via Inference with Large Language Models

Reference 68

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no resolver link, observed 2026-08-06T05:05:02.862821Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T05:05:02.862821Z digest=sha256:3ee10e67e23371a21a244a515aa7444991474b02253c60ce5ac1b82e5d6eabe0

Observation 2d596b3d-21d9-40f9-ad2b-2d872f57c1b4 · inbound

User Privacy and Large Language Models: An Analysis of Frontier Developers' Privacy Policies cites this paper.

User Privacy and Large Language Models: An Analysis of Frontier Developers' Privacy Policies Beyond Memorization: Violating Privacy Via Inference with Large Language Models

Reference 81

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no resolver link, observed 2026-08-05T06:00:20.636706Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T06:00:20.636706Z digest=sha256:b581ee39941b7500f2e83181b7b2f3332cf9c22e429678690e81593bcb5b5f2b

Observation 3a933abd-4d22-414a-98f3-0317bb9b75da · inbound

Generative Data Refinement: Just Ask for Better Data cites this paper.

Generative Data Refinement: Just Ask for Better Data Beyond Memorization: Violating Privacy Via Inference with Large Language Models

Reference 50

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no resolver link, observed 2026-08-04T20:24:40.759460Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T20:24:40.759460Z digest=sha256:a21ce43b0a9003d285b9278368e27375c32a90cdcb6fc1b27d83736fd13b715e

Observation cb48dbac-165e-4d70-a544-b8dc0b75ee6b · inbound

Downgrade to Upgrade: Optimizer Simplification Enhances Robustness in LLM Unlearning cites this paper.

Downgrade to Upgrade: Optimizer Simplification Enhances Robustness in LLM Unlearning Beyond Memorization: Violating Privacy Via Inference with Large Language Models

Reference 8

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metadata mismatch
arxiv_id, observed 2026-05-18T10:46:16.913135Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-18T10:44:53.516653Z digest=sha256:1d90d654d62edd2576a48cd72d09b2859edb4bc01febb13ae55d6b9923745894

Observation 9b5d6325-f456-4d6d-9908-8c87a1a4fcaa · inbound

A Vision Toward Energy-Efficient Domain-Specific Artificial Intelligence Models and Agents cites this paper.

A Vision Toward Energy-Efficient Domain-Specific Artificial Intelligence Models and Agents Beyond Memorization: Violating Privacy Via Inference with Large Language Models

Reference 173

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no resolver link, observed 2026-08-04T08:12:27.322874Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T08:12:27.322874Z digest=sha256:aeb090ea049d25ba6953e199ca42a1310f15c7274bf2cdadc67ccd3d4714d30f

Observation 0de2b4eb-c81f-4ddb-ac02-53d3012c919b · inbound

MultiPriv: Benchmarking Individual-Level Privacy Reasoning in Vision-Language Models cites this paper.

MultiPriv: Benchmarking Individual-Level Privacy Reasoning in Vision-Language Models Beyond Memorization: Violating Privacy Via Inference with Large Language Models

Reference 2017

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malformed identifier
no resolver link, observed 2026-08-03T21:09:13.933921Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T21:09:13.933921Z digest=sha256:f3021c69238fac2bf1e3ad9d67272d5ccbb88cd72d8a875bc0145161c9ec7f6e

Observation 3d99ad5a-6677-423b-8a34-a304a1e174d5 · inbound

Understanding User Privacy Perceptions of GenAI Smartphones cites this paper.

Understanding User Privacy Perceptions of GenAI Smartphones Beyond Memorization: Violating Privacy Via Inference with Large Language Models

Reference 71

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verified exact
arxiv_id, observed 2026-05-10T23:10:51.582337Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-10T19:18:29.955515Z digest=sha256:5a2436efda412d908fa20c0beabd6f8aa3360d6b960bc15273699b0f174bb199

Observation c630776e-42de-4262-a1c6-b784b78a9db3 · inbound

SLM Finetuning for Natural Language to Domain Specific Code Generation in Production cites this paper.

SLM Finetuning for Natural Language to Domain Specific Code Generation in Production Beyond Memorization: Violating Privacy Via Inference with Large Language Models

Reference 28

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arxiv_id, observed 2026-05-11T08:26:00.869949Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-05-10T16:38:30.184565Z digest=sha256:a89921eca2dee169ddc37a8293ba51df398e8fddec9e86dbf240934692d904fe

Observation b3986133-0756-4efe-8a7d-1ee59c03fd4f · inbound

PAC-BENCH: Evaluating Multi-Agent Collaboration under Privacy Constraints cites this paper.

PAC-BENCH: Evaluating Multi-Agent Collaboration under Privacy Constraints Beyond Memorization: Violating Privacy Via Inference with Large Language Models

Reference 3

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metadata mismatch
arxiv_id, observed 2026-05-11T09:01:00.720525Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-10T16:18:34.189274Z digest=sha256:94865cd16e4b7d7434cb7187ff7893327436ecb28e266b7a449e7e7559ac5fe8

Observation c7eef68a-e346-4017-aec4-f579a97283ed · inbound

Tracking Conversations: Measuring Content and Identity Exposure on AI Chatbots cites this paper.

Tracking Conversations: Measuring Content and Identity Exposure on AI Chatbots Beyond Memorization: Violating Privacy Via Inference with Large Language Models

Reference 66

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verified exact
arxiv_id, observed 2026-05-12T09:41:26.244566Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-07T09:58:16.992267Z digest=sha256:f151bbacc8341388b7358d2644965030fe69742a223c5ead736e2110ac8b3d4f

Observation 01ed9467-3e35-43f2-806b-31f157ab6bb9 · inbound

Tracking Conversations: Measuring Content and Identity Exposure on AI Chatbots cites this paper.

Tracking Conversations: Measuring Content and Identity Exposure on AI Chatbots Beyond Memorization: Violating Privacy Via Inference with Large Language Models

Reference 66

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verified exact
arxiv_id, observed 2026-05-14T22:18:04.560105Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-14T22:15:37.967533Z digest=sha256:549eb8ef8cc0d234eabb7f47c825fb939360dcc5abab07d826c1784826746cb8

Observation ef109848-49cb-4a4d-aad9-69070d25f552 · inbound

Profiling for Pennies: Unveiling the Privacy Iceberg of LLM Agents cites this paper.

Profiling for Pennies: Unveiling the Privacy Iceberg of LLM Agents Beyond Memorization: Violating Privacy Via Inference with Large Language Models

Reference 29

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metadata mismatch
arxiv_id, observed 2026-05-11T20:26:09.335171Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-08T09:14:04.781398Z digest=sha256:47a06341799e73d4e5bb9ec68024e695c301956c2069a83161707b8349fd5a6e

Observation 2f16353d-7de8-4cd4-98ff-a4bd796454bc · inbound

When Are LLM Inferences Acceptable? User Reactions and Control Preferences for Inferred Personal Information cites this paper.

When Are LLM Inferences Acceptable? User Reactions and Control Preferences for Inferred Personal Information Beyond Memorization: Violating Privacy Via Inference with Large Language Models

Reference 55

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verified exact
arxiv_id, observed 2026-05-12T07:06:38.149111Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-12T03:41:36.453099Z digest=sha256:7cc92440cb6aa429fb3af1f907fcf60157055b3f4b1d2db3134f3672350422c6

Observation ed8933f9-7a0d-4e19-bcab-7a0c60671543 · inbound

CachePrune: Privacy-Aware and Fine-Grained KV Cache Sharing for Efficient LLM Inference cites this paper.

CachePrune: Privacy-Aware and Fine-Grained KV Cache Sharing for Efficient LLM Inference Beyond Memorization: Violating Privacy Via Inference with Large Language Models

Reference 52

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verified exact
arxiv_id, observed 2026-05-25T04:15:19.901013Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-25T04:14:44.387842Z digest=sha256:5c083a1ad3cada83abdb91ec43b5016a8eed3e6416761acbfe62fe1f8292fbfb

Observation c3021da8-8871-45a7-bf0c-6dd3e0263cc4 · inbound

Inferential Privacy Leakage in Anonymized Conversational AI Logs cites this paper.

Inferential Privacy Leakage in Anonymized Conversational AI Logs Beyond Memorization: Violating Privacy Via Inference with Large Language Models

Reference 9

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verified exact
arxiv_id, observed 2026-05-25T02:46:33.613987Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-25T02:44:27.309669Z digest=sha256:5c4d2e95698b406d85941afc8ac3efc5c41f3dd17f5cb5d76273d4f059d063cf

Observation b6a860a3-e54e-4bb7-bf59-a2f64ee80229 · inbound

Trustworthy Recommendation in the Era of Large Language Models: Opportunities and Challenges cites this paper.

Trustworthy Recommendation in the Era of Large Language Models: Opportunities and Challenges Beyond Memorization: Violating Privacy Via Inference with Large Language Models

Reference 213

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verified exact
arxiv_id, observed 2026-06-28T18:42:29.364909Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-06-28T18:41:06.636352Z digest=sha256:c5526685d15ecb29d32fe1f8fc5372bbb04f7377a53f8133f4b3181a17d87dd4

Observation 0a98d65d-323e-4381-8ff0-cf937294bc9a · inbound

Selective Token-Level Cryptographic Redaction for Privacy-Preserving Clinical Deployment of Large Language Models cites this paper.

Selective Token-Level Cryptographic Redaction for Privacy-Preserving Clinical Deployment of Large Language Models Beyond Memorization: Violating Privacy Via Inference with Large Language Models

Reference 9

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metadata mismatch
arxiv_id, observed 2026-07-02T03:06:30.136462Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-06-28T10:19:20.891082Z digest=sha256:18ff036eede971841e506431f9b6a425cc5f25a890c7498c9a510244b0347f7f

Observation 47a8c9c6-eaf6-4daa-b2a7-b6255ed9c0da · inbound

PromptPrint: Behavioral Biometrics Through Natural Language Prompting in LLMs cites this paper.

PromptPrint: Behavioral Biometrics Through Natural Language Prompting in LLMs Beyond Memorization: Violating Privacy Via Inference with Large Language Models

Reference 17

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metadata mismatch
arxiv_id, observed 2026-07-02T13:46:59.413141Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-06-28T01:00:15.115064Z digest=sha256:a19fd1878b47c66f0651c815ad69207f4961b0b862c5a873ff2a43a20d54bdc3

Observation 3ddd0a25-0f8d-40f0-937c-b364ea1c17d1 · inbound

OCELOT: Inference-Leakage Budgets for Privacy-Preserving LLM Agents cites this paper.

OCELOT: Inference-Leakage Budgets for Privacy-Preserving LLM Agents Beyond Memorization: Violating Privacy Via Inference with Large Language Models

Reference 7

Resolution
metadata mismatch
arxiv_id, observed 2026-07-03T11:58:06.924166Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-06-27T09:11:42.204778Z digest=sha256:d02a317f0a010bbaa9beca2c75ba1018d779f2e37c9c57e2cb6664768b41d6fe

Observation e5e6577f-2b3e-4df8-8401-65250b8da5ff · inbound

Agentic AI-Powered Re-Identification: An Emerging, Scalable Threat to Mobility Microdata Privacy cites this paper.

Agentic AI-Powered Re-Identification: An Emerging, Scalable Threat to Mobility Microdata Privacy Beyond Memorization: Violating Privacy Via Inference with Large Language Models

Reference 24

Resolution
metadata mismatch
arxiv_id, observed 2026-06-29T04:13:05.079376Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-06-29T04:10:06.666198Z digest=sha256:572bee34db915c62b05da19c0cb762dc782117ebd8f7d8f90d14a6f08d3e462b

Observation 31228cb5-3373-4f2d-8378-d2baca2e22a6 · inbound

Imperceptible and Reversible Adversarial Examples against Vision-Language Models for Privacy Protection cites this paper.

Imperceptible and Reversible Adversarial Examples against Vision-Language Models for Privacy Protection Beyond Memorization: Violating Privacy Via Inference with Large Language Models

Reference 40

Resolution
unresolved
no resolver link, observed 2026-07-14T12:36:44.253836Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T12:36:44.253836Z digest=sha256:46253d1f63bb2136cdb57b78517cfba6ef8400e0624eb6419398a72c93c4c724