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Paper Citation Record · LEDGER

MAGPIE: A dataset for Multi-AGent contextual PrIvacy Evaluation

As of 9 August 2026, this Paper Citation Record lists 23 of 23 outbound references and 2 inbound Pith citation observations for arXiv:2506.20737.

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

pith.paper-citation-record.v1
2506.20737 v1

Coverage vector

measured 23 of 23 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T22:47:24.545873Z

measured 25 of 25 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 2026-08-05T15:26:33.592365Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-15T14:15:55.179160Z

Reference resolution

23 of 23 outbound references displayed

  • verified exact1
  • verified fuzzy1
  • unresolved21
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 53028678-f7fa-4f0e-90e2-14eeb4705d2d · outbound

This paper cites When One LLM Drools, Multi-LLM Collaboration Rules.

MAGPIE: A dataset for Multi-AGent contextual PrIvacy Evaluation When One LLM Drools, Multi-LLM Collaboration Rules

Reference 3

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:47:23.289080Z digest=sha256:e3f38182553b443d2e3372f05fbcafc8ec27ac59f81cd2c9ea4fd98b18f86767

Observation 773e239f-e604-43c9-abce-de521fd7809e · outbound

This paper cites The Ethics of Advanced AI Assistants.

MAGPIE: A dataset for Multi-AGent contextual PrIvacy Evaluation The Ethics of Advanced AI Assistants

Reference 4

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-06T22:47:23.360920Z digest=sha256:67b44e7c8e39726c36f7748fbc05547eec0098e76c085004abc437eee8eea091

Observation a3f73690-3007-4b4e-88f9-48c7eafc02dc · outbound

This paper cites The Llama 3 Herd of Models.

MAGPIE: A dataset for Multi-AGent contextual PrIvacy Evaluation The Llama 3 Herd of Models

Reference 5

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source=pdf_text observed=2026-08-06T22:47:23.428078Z digest=sha256:b5f16e45188d4288e0190e17040d5f6be176917f688baff3bce6d9daadf165fe

Observation 64aa2fe9-8bbf-45a0-9369-c3e39cd58da3 · outbound

This paper cites net/forum?id=QkLpGxUboF.

MAGPIE: A dataset for Multi-AGent contextual PrIvacy Evaluation net/forum?id=QkLpGxUboF

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:47:24.867803Z

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=2026-08-06T22:47:23.535045Z digest=sha256:ac6d27216405e4d77c6c382390dea5a821cf48a7218f2ba7812d5463b06f54db

Observation 02ae48dd-5f46-49d9-b8ec-39350c818c35 · outbound

This paper cites emnlp-main.13.

MAGPIE: A dataset for Multi-AGent contextual PrIvacy Evaluation emnlp-main.13

Reference 8

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no resolver link, observed 2026-08-06T22:47:23.625361Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:47:23.625361Z digest=sha256:96810220774c2b29c62405469669e1123374ad7a32728e9a7faa22d70830c301

Observation 542911a3-2ba4-4fad-b035-a4dc30ffce5c · outbound

This paper cites Personal LLM Agents: Insights and Survey about the Capability, Efficiency and Security.

MAGPIE: A dataset for Multi-AGent contextual PrIvacy Evaluation Personal LLM Agents: Insights and Survey about the Capability, Efficiency and Security

Reference 9

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no resolver link, observed 2026-08-06T22:47:23.694078Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:47:23.694078Z digest=sha256:a4ca5d05fd1c85c926818414eddb077356924c4030d7c61239a6d570e4bec072

Observation 6a395874-6f17-42ce-93b8-25c12778448e · outbound

This paper cites Can LLMs Keep a Secret? Testing Privacy Implications of Language Models via Contextual Integrity Theory.

MAGPIE: A dataset for Multi-AGent contextual PrIvacy Evaluation Can LLMs Keep a Secret? Testing Privacy Implications of Language Models via Contextual Integrity Theory

Reference 10

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no resolver link, observed 2026-08-06T22:47:23.778852Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:47:23.778852Z digest=sha256:d94d51349a826a5c05ea8377453b0332e4815e794ce6eade23146693ebbbe84b

Observation 415cae84-b000-4248-96e0-b0fe0adb830c · outbound

This paper cites doi: 10.18653/v1/2023.findings-emnlp.461.

MAGPIE: A dataset for Multi-AGent contextual PrIvacy Evaluation doi: 10.18653/v1/2023.findings-emnlp.461

Reference 11

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:47:23.864769Z digest=sha256:18411ad6aac311757e6545a18c874f2e3bc178799cd8f034fb53b56f792c31ce

Observation 7ad0e561-dc3a-43de-98e7-f0cb4b79009a · outbound

This paper cites GPT-4 Technical Report.

MAGPIE: A dataset for Multi-AGent contextual PrIvacy Evaluation GPT-4 Technical Report

Reference 12

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:47:23.908329Z digest=sha256:cef629494271453d49e82ddcd32e61c983d6527090b0409db55800a1f3606c66

Observation 3c78d0ff-17ca-446d-b83b-cc16ca7800f5 · outbound

This paper cites Political Compass or Spinning Arrow? Towards More Meaningful Evaluations for Values and Opinions in Large Language Models.

MAGPIE: A dataset for Multi-AGent contextual PrIvacy Evaluation Political Compass or Spinning Arrow? Towards More Meaningful Evaluations for Values and Opinions in Large Language Models

Reference 14

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:47:24.015034Z digest=sha256:910a3b7ae1b6da690bf191b0d471dc04bf008811e998381f5a916b363881a448

Observation c5f745af-64ea-4aea-8dbf-4e7fdde783db · outbound

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

MAGPIE: A dataset for Multi-AGent contextual PrIvacy Evaluation PrivacyLens: Evaluating Privacy Norm Awareness of Language Models in Action

Reference 15

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:47:24.075493Z digest=sha256:6964d75f0a8f772a73a5e3a64bce6854f20e01e322bf8e02b7dc3968cc10b941

Observation 908422d9-c7bc-4909-99ba-fe8670523150 · outbound

This paper cites Towards Effective GenAI Multi-Agent Collaboration: Design and Evaluation for Enterprise Applications.

MAGPIE: A dataset for Multi-AGent contextual PrIvacy Evaluation Towards Effective GenAI Multi-Agent Collaboration: Design and Evaluation for Enterprise Applications

Reference 16

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:47:24.152501Z digest=sha256:2f4cddc4d76609997eaa52a55808f6fd38ebfc3b4570d34c815a91bae81e10e0

Observation 5834195b-12c9-466c-b7cd-f71f6f9fe4dd · outbound

This paper cites LLM Theory of Mind and Alignment: Opportunities and Risks.

MAGPIE: A dataset for Multi-AGent contextual PrIvacy Evaluation LLM Theory of Mind and Alignment: Opportunities and Risks

Reference 17

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:47:24.201193Z digest=sha256:186830320b6a748c3a45fc1ce98feb439e1526a53adee71428e0ba5c6d1251c6

Observation 1a781846-b26a-40e3-a0f4-a26819fc67d8 · outbound

This paper cites Multi-Agent Collaboration: Harnessing the Power of Intelligent LLM Agents.

MAGPIE: A dataset for Multi-AGent contextual PrIvacy Evaluation Multi-Agent Collaboration: Harnessing the Power of Intelligent LLM Agents

Reference 18

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source=pdf_text observed=2026-08-06T22:47:24.254666Z digest=sha256:7783b9c85a3a0e1e64626ba4d3efe15aa0e0e8afc20027e04ddca2936d7e1c62

Observation ceb5396e-787b-4a99-bea8-4241b6aa67fb · outbound

This paper cites Two Tales of Persona in LLMs: A Survey of Role-Playing and Personalization.

MAGPIE: A dataset for Multi-AGent contextual PrIvacy Evaluation Two Tales of Persona in LLMs: A Survey of Role-Playing and Personalization

Reference 19

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source=pdf_text observed=2026-08-06T22:47:24.315845Z digest=sha256:8dcf0acb974540d8023749e284167ab0998b789583c48591d63295666037dc6e

Observation 7a3a8ecf-dfe8-4bb8-b2c8-cbb5955eb159 · outbound

This paper cites DecodingTrust: A Comprehensive Assessment of Trustworthiness in GPT Models.

MAGPIE: A dataset for Multi-AGent contextual PrIvacy Evaluation DecodingTrust: A Comprehensive Assessment of Trustworthiness in GPT Models

Reference 20

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source=pdf_text observed=2026-08-06T22:47:24.374725Z digest=sha256:5b7a12276dc5a7dc97563a16a0d3757c25c82b174c027f98e9ac82482be94516

Observation ff76e2a3-c24b-478b-a4cd-22cc8e9abf18 · outbound

This paper cites Judging LLM-as-a-Judge with MT-Bench and Chatbot Arena.

MAGPIE: A dataset for Multi-AGent contextual PrIvacy Evaluation Judging LLM-as-a-Judge with MT-Bench and Chatbot Arena

Reference 22

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:47:24.484644Z digest=sha256:f23cad774337e6cb88ae2dfdb5f1ed3c3dcf58b357e686a87fcd6ec816db4c77

Observation 1195accf-c8bc-4b2d-bb52-4914f0289ad4 · outbound

This paper cites Red teaming ChatGPT via Jailbreaking: Bias, Robustness, Reliability and Toxicity.

MAGPIE: A dataset for Multi-AGent contextual PrIvacy Evaluation Red teaming ChatGPT via Jailbreaking: Bias, Robustness, Reliability and Toxicity

Reference 23

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no resolver link, observed 2026-08-06T22:47:24.545873Z

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source=pdf_text observed=2026-08-06T22:47:24.545873Z digest=sha256:59f9e6cd8f4ed6d1f742c09924dc8315de4526a5e60a1c4e3c1b3681942fe6f3

Observation 0422255f-566b-4a15-96d9-a8584f8948d7 · outbound

This paper cites doi: 10.1016/j.compind.2006.04.010.

MAGPIE: A dataset for Multi-AGent contextual PrIvacy Evaluation doi: 10.1016/j.compind.2006.04.010

Reference 2006

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verified exact
doi, observed 2026-08-06T22:47:24.653322Z

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=2026-08-06T22:47:24.443238Z digest=sha256:74472aa5beb90752b325f4b9829c218f6c83fb33f15631cff75cf87c357a7193

Observation 89193447-af2b-4944-bc8c-585af66f09bc · outbound

This paper cites Different but Equal: Comparing User Collaboration with Digital Personal Assistants vs. Teams of Expert Agents.

MAGPIE: A dataset for Multi-AGent contextual PrIvacy Evaluation Different but Equal: Comparing User Collaboration with Digital Personal Assistants vs. Teams of Expert Agents

Reference 2018

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source=pdf_text observed=2026-08-06T22:47:23.955793Z digest=sha256:fe6892ca709f546b1262a271ee0e87d86a1c4298b2e430b0129623e715e0fb6a

Observation 57f8afc2-ecff-4989-9389-35bcf72eb6d3 · outbound

This paper cites Mistral 7B.

MAGPIE: A dataset for Multi-AGent contextual PrIvacy Evaluation Mistral 7B

Reference 2023

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source=pdf_text observed=2026-08-06T22:47:23.492532Z digest=sha256:4250109cff4d4c53aa0f07b0fa6c0450ff8c117afe97036810fc8695bfc46670

Observation 9cadb772-dabc-40ac-8056-21749e7b401f · outbound

This paper cites Do Membership Inference Attacks Work on Large Language Models?.

MAGPIE: A dataset for Multi-AGent contextual PrIvacy Evaluation Do Membership Inference Attacks Work on Large Language Models?

Reference 2024

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source=pdf_text observed=2026-08-06T22:47:23.183424Z digest=sha256:43b0d407815b5ec988bd2afb1b49c74763bd95e3c75d6fe8e858c42effcf77e2

Observation 31c9dfb6-da32-4c76-97b0-377d69240076 · outbound

This paper cites Why Do Multi-Agent LLM Systems Fail?.

MAGPIE: A dataset for Multi-AGent contextual PrIvacy Evaluation Why Do Multi-Agent LLM Systems Fail?

Reference 2025

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source=pdf_text observed=2026-08-06T22:47:23.099775Z digest=sha256:4bdcd6a8031fecf1cb8351e91fd050364bec0f9501fd6d96bb3c7b346d420503

Pith citing papers

Observation c94769fe-b6f8-4075-97ad-0e77a2ef005d · inbound

Secure Multi-LLM Agentic AI and Agentification for Edge General Intelligence by Zero-Trust: A Survey cites this paper.

Secure Multi-LLM Agentic AI and Agentification for Edge General Intelligence by Zero-Trust: A Survey MAGPIE: A dataset for Multi-AGent contextual PrIvacy Evaluation

Reference 72

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T15:26:33.592365Z digest=sha256:c55f686c5476dad23f93ce053977d811130f9e29428993498e31dcf20c87bb4a

Observation 1c0dad0a-833c-42ed-b553-28430f0de835 · inbound

Security Considerations for Multi-agent Systems cites this paper.

Security Considerations for Multi-agent Systems MAGPIE: A dataset for Multi-AGent contextual PrIvacy Evaluation

Reference 168

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arxiv_id, observed 2026-05-15T14:15:55.181008Z

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=2026-05-15T14:12:14.160789Z digest=sha256:123c70aa434b5785fa33030c18e747abd0b3902d3266d31a4fee0988857c1451