Green Shielding: A User-Centric Approach Towards Trustworthy AI | Paper Citation Record

Observation 1c397db3-432d-4bd7-91fc-8ae75e4d0a27 · outbound

This paper cites GPT-4 Technical Report.

Green Shielding: A User-Centric Approach Towards Trustworthy AI GPT-4 Technical Report

Reference 1

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

Green Shielding: A User-Centric Approach Towards Trustworthy AI Gemini: A Family of Highly Capable Multimodal Models

Reference 2

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This paper cites The claude 3 model family: Opus, sonnet, haiku.Claude 3 Model Card.

Green Shielding: A User-Centric Approach Towards Trustworthy AI The claude 3 model family: Opus, sonnet, haiku.Claude 3 Model Card

Reference 3

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This paper cites an unresolved cited work.

Green Shielding: A User-Centric Approach Towards Trustworthy AI Unresolved cited work

Reference 4

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This paper cites Hallucination is Inevitable: An Innate Limitation of Large Language Models.

Green Shielding: A User-Centric Approach Towards Trustworthy AI Hallucination is Inevitable: An Innate Limitation of Large Language Models

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-05-15T20:38:43.817412Z

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This paper cites A survey on hallucination in large language models: Principles, taxonomy, challenges, andopenquestions.ACM Transactions on Information Systems, 43(2):1–55.

Green Shielding: A User-Centric Approach Towards Trustworthy AI A survey on hallucination in large language models: Principles, taxonomy, challenges, andopenquestions.ACM Transactions on Information Systems, 43(2):1–55

Reference 6

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This paper cites Self-Consistency Improves Chain of Thought Reasoning in Language Models.

Green Shielding: A User-Centric Approach Towards Trustworthy AI Self-Consistency Improves Chain of Thought Reasoning in Language Models

Reference 7

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This paper cites Measuring Faithfulness in Chain-of-Thought Reasoning.

Green Shielding: A User-Centric Approach Towards Trustworthy AI Measuring Faithfulness in Chain-of-Thought Reasoning

Reference 8

Resolution: verified exact; local_arxiv, observed 2026-05-11T21:56:24.795220Z

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Observation 5abd395a-d503-441c-9ca6-ea42d583a8af · outbound

This paper cites Towards Understanding Sycophancy in Language Models.

Green Shielding: A User-Centric Approach Towards Trustworthy AI Towards Understanding Sycophancy in Language Models

Reference 9

Resolution: verified exact; local_arxiv, observed 2026-05-11T21:56:24.178515Z

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Observation d88f5703-2542-4f0a-8ca5-cd7102c4be96 · outbound

This paper cites An Overview of Catastrophic AI Risks.

Green Shielding: A User-Centric Approach Towards Trustworthy AI An Overview of Catastrophic AI Risks

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-05-25T05:03:47.506388Z

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Observation 7d512b96-eda9-484c-b970-826802e248b1 · outbound

This paper cites an unresolved cited work.

Green Shielding: A User-Centric Approach Towards Trustworthy AI Unresolved cited work

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-05-11T21:56:24.077153Z

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Observation 32d3fa07-53fc-4139-8b3e-4dd8414094ad · outbound

This paper cites District Court for the Southern District of New York.

Green Shielding: A User-Centric Approach Towards Trustworthy AI District Court for the Southern District of New York

Reference 12

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Observation 6cd4a973-18d6-4cdf-80bc-360359832c82 · outbound

This paper cites The eu artificial intelligence act.European Union.

Green Shielding: A User-Centric Approach Towards Trustworthy AI The eu artificial intelligence act.European Union

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T21:43:06.269982Z

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Observation a50fc6b0-0a84-4041-be8e-4c3909f96559 · outbound

This paper cites Demystifying the Draft EU Artificial Intelligence Act.

Green Shielding: A User-Centric Approach Towards Trustworthy AI Demystifying the Draft EU Artificial Intelligence Act

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-05-11T21:56:24.720376Z

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This paper cites Artificial intelligence risk management framework (ai rmf 1.0).journal=URL: https://nvlpubs.

Green Shielding: A User-Centric Approach Towards Trustworthy AI Artificial intelligence risk management framework (ai rmf 1.0).journal=URL: https://nvlpubs

Reference 15

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This paper cites Mulligan.

Green Shielding: A User-Centric Approach Towards Trustworthy AI Mulligan

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T21:43:06.200573Z

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Observation abd0e816-0b12-4996-81fa-14b303ca0b8f · outbound

This paper cites Veridical data science.Proceedings of the National Academy of Sciences, 117(8):3920–3929.

Green Shielding: A User-Centric Approach Towards Trustworthy AI Veridical data science.Proceedings of the National Academy of Sciences, 117(8):3920–3929

Reference 17

Resolution: verified exact; doi, observed 2026-05-09T00:19:26.413187Z

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This paper cites What disease does this patient have? a large-scale open domain question answering dataset from medical exams.Applied Sciences, 11(14):6421.

Green Shielding: A User-Centric Approach Towards Trustworthy AI What disease does this patient have? a large-scale open domain question answering dataset from medical exams.Applied Sciences, 11(14):6421

Reference 18

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This paper cites MedXpertQA: Benchmarking Expert-Level Medical Reasoning and Understanding.

Green Shielding: A User-Centric Approach Towards Trustworthy AI MedXpertQA: Benchmarking Expert-Level Medical Reasoning and Understanding

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-05-16T14:26:38.603695Z

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This paper cites Chatdoctor: A medical chat model fine-tuned on a large language model meta-ai (llama) using medical domain knowledge.Cureus, 15(6).

Green Shielding: A User-Centric Approach Towards Trustworthy AI Chatdoctor: A medical chat model fine-tuned on a large language model meta-ai (llama) using medical domain knowledge.Cureus, 15(6)

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T21:43:06.142657Z

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This paper cites Red Teaming Language Models to Reduce Harms: Methods, Scaling Behaviors, and Lessons Learned.

Green Shielding: A User-Centric Approach Towards Trustworthy AI Red Teaming Language Models to Reduce Harms: Methods, Scaling Behaviors, and Lessons Learned

Reference 21

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This paper cites Harmbench: a stand- ardized evaluation framework for automated red teaming and robust refusal.

Green Shielding: A User-Centric Approach Towards Trustworthy AI Harmbench: a stand- ardized evaluation framework for automated red teaming and robust refusal

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T21:43:06.217784Z

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This paper cites In: Zong, C., Xia, F., Li, W., Navigli, R.

Green Shielding: A User-Centric Approach Towards Trustworthy AI In: Zong, C., Xia, F., Li, W., Navigli, R

Reference 23

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This paper cites Universal and Transferable Adversarial Attacks on Aligned Language Models.

Green Shielding: A User-Centric Approach Towards Trustworthy AI Universal and Transferable Adversarial Attacks on Aligned Language Models

Reference 24

Resolution: verified exact; local_arxiv, observed 2026-05-11T21:56:23.795129Z

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This paper cites Jailbroken: how does llm safety training fail? InProceedings of the 37th International Conference on Neural Information Processing Systems, NIPS ’23, Red Hook, NY, USA.

Green Shielding: A User-Centric Approach Towards Trustworthy AI Jailbroken: how does llm safety training fail? InProceedings of the 37th International Conference on Neural Information Processing Systems, NIPS ’23, Red Hook, NY, USA

Reference 25

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This paper cites do anything now.

Green Shielding: A User-Centric Approach Towards Trustworthy AI do anything now

Reference 26

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This paper cites Not what you’ve signed up for: Compromising real-world llm-integrated applications with indirect prompt injection.

Green Shielding: A User-Centric Approach Towards Trustworthy AI Not what you’ve signed up for: Compromising real-world llm-integrated applications with indirect prompt injection

Reference 27

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This paper cites Formalizing and benchmarking prompt injection attacks and defenses.

Green Shielding: A User-Centric Approach Towards Trustworthy AI Formalizing and benchmarking prompt injection attacks and defenses

Reference 28

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Observation a1572414-af7d-48a5-8cd2-ba636ab52bfa · outbound

This paper cites Certifying LLM Safety against Adversarial Prompting.

Green Shielding: A User-Centric Approach Towards Trustworthy AI Certifying LLM Safety against Adversarial Prompting

Reference 29

Resolution: verified exact; arxiv_id, observed 2026-05-11T21:56:23.340402Z

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Observation 49c36ca1-093e-4dfb-bea4-68effe7789f4 · outbound

This paper cites In34th USENIX Security Symposium (USENIX Se- curity 25), pages 2383–2400.

Green Shielding: A User-Centric Approach Towards Trustworthy AI In34th USENIX Security Symposium (USENIX Se- curity 25), pages 2383–2400

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T21:43:06.207632Z

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Observation 1986d380-892a-4d75-b2c1-71eaaf309196 · outbound

This paper cites Dataset security for machine learning: Data poisoning, backdoor attacks, and defenses.IEEE Transactions on Pattern Analysis and Machine Intelligence, 45(2):1563–1580.

Green Shielding: A User-Centric Approach Towards Trustworthy AI Dataset security for machine learning: Data poisoning, backdoor attacks, and defenses.IEEE Transactions on Pattern Analysis and Machine Intelligence, 45(2):1563–1580

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T21:43:06.145873Z

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Observation f0ec55e8-1219-4292-b6f3-14e2ce8db132 · outbound

This paper cites Wild patterns reloaded: Asurveyofmachinelearningsecurityagainsttrainingdatapoisoning.ACM Computing Surveys, 55(13s):1–39.

Green Shielding: A User-Centric Approach Towards Trustworthy AI Wild patterns reloaded: Asurveyofmachinelearningsecurityagainsttrainingdatapoisoning.ACM Computing Surveys, 55(13s):1–39

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T21:43:06.224110Z

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Observation f5ac7cd0-3e6f-4b3f-ad7b-fa3f3f86b196 · outbound

This paper cites InjecAgent: Benchmarking Indirect Prompt Injections in Tool-Integrated Large Language Model Agents.

Green Shielding: A User-Centric Approach Towards Trustworthy AI InjecAgent: Benchmarking Indirect Prompt Injections in Tool-Integrated Large Language Model Agents

Reference 33

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Observation e0e68cb9-b5de-4325-a135-b9dcd0d97ab7 · outbound

This paper cites TrojanRAG: Retrieval-Augmented Generation Can Be Backdoor Driver in Large Language Models.

Green Shielding: A User-Centric Approach Towards Trustworthy AI TrojanRAG: Retrieval-Augmented Generation Can Be Backdoor Driver in Large Language Models

Reference 34

Resolution: verified exact; arxiv_id, observed 2026-05-11T21:56:23.778336Z

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Observation 62a6a2fa-d3c6-4330-b748-b2a8a6f6d8ec · outbound

This paper cites In34th USENIX Security Symposium (USENIX Security 25), pages 3827–3844.

Green Shielding: A User-Centric Approach Towards Trustworthy AI In34th USENIX Security Symposium (USENIX Security 25), pages 3827–3844

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T21:43:06.251755Z

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Observation e23aa08b-23c3-4e4e-bfe5-8d0def386e16 · outbound

This paper cites Ai agents under threat: A survey of key security challenges and future pathways.ACM Computing Surveys, 57(7):1–36.

Green Shielding: A User-Centric Approach Towards Trustworthy AI Ai agents under threat: A survey of key security challenges and future pathways.ACM Computing Surveys, 57(7):1–36

Reference 36

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Observation 2bd85b4b-5c78-4e94-b35f-dfc7610861b1 · outbound

This paper cites ProSA: Assessing and Understanding the Prompt Sensitivity of LLMs.

Green Shielding: A User-Centric Approach Towards Trustworthy AI ProSA: Assessing and Understanding the Prompt Sensitivity of LLMs

Reference 37

Resolution: verified exact; arxiv_id, observed 2026-05-11T21:56:23.988324Z

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Observation 1647d4cf-704b-4ab5-874f-b398d854eb73 · outbound

This paper cites POSIX: A Prompt Sensitivity Index For Large Language Models.

Green Shielding: A User-Centric Approach Towards Trustworthy AI POSIX: A Prompt Sensitivity Index For Large Language Models

Reference 38

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Observation f034db63-9949-4311-aaea-0727fcd260b0 · outbound

This paper cites Benchmarking prompt sensitivity in large language models.

Green Shielding: A User-Centric Approach Towards Trustworthy AI Benchmarking prompt sensitivity in large language models

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T21:43:06.176778Z

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Observation 7e1fd4a0-b522-419f-aaf1-08a0aa825145 · outbound

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

Green Shielding: A User-Centric Approach Towards Trustworthy AI Quantifying language mod- els'sensitivity to spurious features in prompt design or: How i learned to start worrying about prompt formatting

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T21:43:06.124795Z

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Observation 5f9805fc-c957-432b-a6ca-7ac8bc4e7545 · outbound

This paper cites Towards LLMs Robustness to Changes in Prompt Format Styles.

Green Shielding: A User-Centric Approach Towards Trustworthy AI Towards LLMs Robustness to Changes in Prompt Format Styles

Reference 41

Resolution: verified exact; arxiv_id, observed 2026-05-11T21:56:24.465968Z

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Observation ca2f0c37-3784-4379-800b-61c56e8f75ff · outbound

This paper cites Large language models sensitivity to the order of op- tions in multiple-choice questions.

Green Shielding: A User-Centric Approach Towards Trustworthy AI Large language models sensitivity to the order of op- tions in multiple-choice questions

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T21:43:06.152630Z

Source-reported events for the cited work

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Observation 30518e9b-aa11-46d4-ba39-964bde35e823 · outbound

This paper cites The Order Effect: Investigating Prompt Sensitivity to Input Order in LLMs.

Green Shielding: A User-Centric Approach Towards Trustworthy AI The Order Effect: Investigating Prompt Sensitivity to Input Order in LLMs

Reference 43

Resolution: verified exact; arxiv_id, observed 2026-05-11T21:56:23.046691Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation ccb820de-09aa-4f97-a289-818c15aba825 · outbound

This paper cites Syceval: Evaluatingllmsycophancy.

Green Shielding: A User-Centric Approach Towards Trustworthy AI Syceval: Evaluatingllmsycophancy

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T21:43:06.148923Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 0b24a6c7-cde0-4fab-ae18-4abae8cac03a · outbound

This paper cites Measuring sycophancy of language models in multi-turn dialogues.

Green Shielding: A User-Centric Approach Towards Trustworthy AI Measuring sycophancy of language models in multi-turn dialogues

Reference 45

Resolution: verified exact; arxiv_id, observed 2026-05-11T21:56:23.596190Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 13e9b6b6-2d0c-4c92-9b28-d294a75c75f5 · outbound

This paper cites Open (clinical) llms are sensitive to instruction phrasings.

Green Shielding: A User-Centric Approach Towards Trustworthy AI Open (clinical) llms are sensitive to instruction phrasings

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T21:43:06.204121Z

Source-reported events for the cited work

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Observation f181c223-85a5-4f2f-b828-f9b0dc99f3db · outbound

This paper cites Measuring Massive Multitask Language Understanding.

Green Shielding: A User-Centric Approach Towards Trustworthy AI Measuring Massive Multitask Language Understanding

Reference 47

Resolution: verified exact; local_arxiv, observed 2026-05-11T21:56:24.386429Z

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Observation adc80ba1-bcdf-4b16-98e8-f9539d9c2d8c · outbound

This paper cites Pubmedqa: A dataset for biomedical research question answering.

Green Shielding: A User-Centric Approach Towards Trustworthy AI Pubmedqa: A dataset for biomedical research question answering

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T21:43:06.114162Z

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Observation 425c5590-f4d3-4eda-b75e-077f2256ec55 · outbound

This paper cites Medmcqa: A large-scale multi-subject multi-choice dataset for medical domain question answering.

Green Shielding: A User-Centric Approach Towards Trustworthy AI Medmcqa: A large-scale multi-subject multi-choice dataset for medical domain question answering

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T21:43:06.109796Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation dfb267b5-b484-40a0-b852-db4d3ae01823 · outbound

This paper cites Large language models encode clinical knowledge.Nature, 620(7972):172–180.

Green Shielding: A User-Centric Approach Towards Trustworthy AI Large language models encode clinical knowledge.Nature, 620(7972):172–180

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T21:43:06.128586Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 7e5f1f94-6ac8-4f58-869b-5f3f77b2e216 · outbound

This paper cites Towards conversational diagnostic arti- ficial intelligence.Nature, pages 1–9.

Green Shielding: A User-Centric Approach Towards Trustworthy AI Towards conversational diagnostic arti- ficial intelligence.Nature, pages 1–9

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T21:43:06.106296Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation de9f7d0e-760f-447d-a945-ed97532cba11 · outbound

This paper cites HealthBench: Evaluating Large Language Models Towards Improved Human Health.

Green Shielding: A User-Centric Approach Towards Trustworthy AI HealthBench: Evaluating Large Language Models Towards Improved Human Health

Reference 52

Resolution: verified exact; arxiv_id, observed 2026-05-13T05:18:21.444858Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 74c9bf22-ef58-4fcb-a0ad-61ef0f091ce6 · outbound

This paper cites G-Eval: NLG Evaluation using GPT-4 with Better Human Alignment.

Green Shielding: A User-Centric Approach Towards Trustworthy AI G-Eval: NLG Evaluation using GPT-4 with Better Human Alignment

Reference 53

Resolution: verified exact; arxiv_id, observed 2026-05-12T22:55:50.972702Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation d730ea15-80ab-407e-b76f-4c8f1695ed6f · outbound

This paper cites A survey on llm-as-a-judge.The Innovation.

Green Shielding: A User-Centric Approach Towards Trustworthy AI A survey on llm-as-a-judge.The Innovation

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T21:43:06.180150Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 6f65c356-0cd7-483f-8166-da5db73e540e · outbound

This paper cites Justice or Prejudice? Quantifying Biases in LLM-as-a-Judge.

Green Shielding: A User-Centric Approach Towards Trustworthy AI Justice or Prejudice? Quantifying Biases in LLM-as-a-Judge

Reference 55

Resolution: verified exact; arxiv_id, observed 2026-05-15T20:00:24.757706Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 55553648-955a-44db-a17c-d31936f49e1e · outbound

This paper cites Self-Preference Bias in LLM-as-a-Judge.

Green Shielding: A User-Centric Approach Towards Trustworthy AI Self-Preference Bias in LLM-as-a-Judge

Reference 56

Resolution: verified exact; arxiv_id, observed 2026-05-15T14:46:32.590484Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 4b0d3c2c-9b09-4ee0-b968-06ffbfb3afaa · outbound

This paper cites Judging the judges: A systematic study of position bias in llm-as-a-judge.

Green Shielding: A User-Centric Approach Towards Trustworthy AI Judging the judges: A systematic study of position bias in llm-as-a-judge

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T21:43:06.138799Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation b733b63d-7b94-4575-8bef-f6d3385863fb · outbound

This paper cites Judging llm-as-a-judge with mt-bench and chatbot arena.Advances in neural information processing systems, 36:46595–46623.

Green Shielding: A User-Centric Approach Towards Trustworthy AI Judging llm-as-a-judge with mt-bench and chatbot arena.Advances in neural information processing systems, 36:46595–46623

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T21:43:06.279709Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 1107d699-2296-4660-93c6-5f4bd50f8875 · outbound

This paper cites Chatbot arena: An open platform for evaluating llms by human preference.

Green Shielding: A User-Centric Approach Towards Trustworthy AI Chatbot arena: An open platform for evaluating llms by human preference

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T21:43:06.215064Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 8871aed4-4f44-4ffc-a9fc-5b617c51f5e6 · outbound

This paper cites From Crowdsourced Data to High-Quality Benchmarks: Arena-Hard and BenchBuilder Pipeline.

Green Shielding: A User-Centric Approach Towards Trustworthy AI From Crowdsourced Data to High-Quality Benchmarks: Arena-Hard and BenchBuilder Pipeline

Reference 60

Resolution: verified exact; arxiv_id, observed 2026-05-11T21:56:23.131233Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 2c430462-4d8b-4fca-9ac5-7798a5fc2c2c · outbound

This paper cites JudgeBench: A Benchmark for Evaluating LLM-based Judges.

Green Shielding: A User-Centric Approach Towards Trustworthy AI JudgeBench: A Benchmark for Evaluating LLM-based Judges

Reference 61

Resolution: verified exact; arxiv_id, observed 2026-05-18T01:24:02.137278Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 327c5508-4d08-437b-88e3-682553db506d · outbound

This paper cites MedHELM: Holistic Evaluation of Large Language Models for Medical Tasks.

Green Shielding: A User-Centric Approach Towards Trustworthy AI MedHELM: Holistic Evaluation of Large Language Models for Medical Tasks

Reference 62

Resolution: verified exact; arxiv_id, observed 2026-05-11T21:56:24.527571Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 24af8ce5-5dc8-4d8f-abaa-5ba46af041cf · outbound

This paper cites Proxyspex: Inference-efficient interpretability via sparse feature interactions in llms.

Green Shielding: A User-Centric Approach Towards Trustworthy AI Proxyspex: Inference-efficient interpretability via sparse feature interactions in llms

Reference 63

Resolution: verified exact; arxiv_id, observed 2026-05-11T21:56:22.976848Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation edf876ff-43a3-44c2-9e11-c22bed285f50 · outbound

This paper cites an unresolved cited work.

Green Shielding: A User-Centric Approach Towards Trustworthy AI Unresolved cited work

Reference 64

Resolution: unresolved; raw_fallback, observed 2026-05-26T21:43:06.193891Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 5fcf0489-d463-410c-9de1-40c225228a3d · outbound

This paper cites an unresolved cited work.

Green Shielding: A User-Centric Approach Towards Trustworthy AI Unresolved cited work

Reference 65

Resolution: unresolved; raw_fallback, observed 2026-05-26T21:43:06.183569Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 521bc98f-ca66-49a8-b303-65686c20db98 · outbound

This paper cites an unresolved cited work.

Green Shielding: A User-Centric Approach Towards Trustworthy AI Unresolved cited work

Reference 66

Resolution: unresolved; raw_fallback, observed 2026-05-26T21:43:06.234765Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 9e04164b-e1a8-4d7f-859a-95628a76954d · outbound

This paper cites Return STRICT JSON ONLY: { is_consistent: true/false, added_facts: [.

Green Shielding: A User-Centric Approach Towards Trustworthy AI Return STRICT JSON ONLY: { is_consistent: true/false, added_facts: [

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T21:43:06.220984Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 026694c1-5bfa-47b4-af35-b2e04caccb66 · outbound

This paper cites an unresolved cited work.

Green Shielding: A User-Centric Approach Towards Trustworthy AI Unresolved cited work

Reference 68

Resolution: unresolved; raw_fallback, observed 2026-05-26T21:43:06.173278Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 2f6b1e34-ab27-4951-9f76-2c13c608cf7e · outbound

This paper cites an unresolved cited work.

Green Shielding: A User-Centric Approach Towards Trustworthy AI Unresolved cited work

Reference 69

Resolution: unresolved; raw_fallback, observed 2026-05-26T21:43:06.117346Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation fa04314c-c338-4e51-9973-fcb8faa0c16a · outbound

This paper cites an unresolved cited work.

Green Shielding: A User-Centric Approach Towards Trustworthy AI Unresolved cited work

Reference 70

Resolution: unresolved; raw_fallback, observed 2026-05-26T21:43:06.169900Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 338fd3f8-4e20-4764-b126-f641c7cbfdea · outbound

This paper cites an unresolved cited work.

Green Shielding: A User-Centric Approach Towards Trustworthy AI Unresolved cited work

Reference 71

Resolution: unresolved; raw_fallback, observed 2026-05-26T21:43:06.262944Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation df8a2ec6-31b1-4890-acac-a94ee95de9c6 · outbound

This paper cites an unresolved cited work.

Green Shielding: A User-Centric Approach Towards Trustworthy AI Unresolved cited work

Reference 72

Resolution: unresolved; raw_fallback, observed 2026-05-26T21:43:06.120894Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 1df0cfd2-277c-4e49-ad74-d987cccc7ab0 · outbound

This paper cites I’m really scared.

Green Shielding: A User-Centric Approach Towards Trustworthy AI I’m really scared

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T21:43:06.197330Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Coverage vector

Reference resolution

Outbound references

Pith citing papers