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Paper Citation Record · LEDGER

When Derived Measurements Mislead: Quantifying and Mitigating LLM Over-Trust with Privileged-Modality Reliability Evidence

As of 8 August 2026, this Paper Citation Record lists 60 of 60 outbound references and 0 inbound Pith citation observations for arXiv:2607.28421.

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

pith.paper-citation-record.v1
2607.28421 v1

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measured 60 of 60 reference resolution

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measured 60 of 60 standing notices

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measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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60 of 60 outbound references displayed

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Outbound references

Observation 22886012-b390-466f-90b7-b929c73af4c8 · outbound

This paper cites Physiological Measurement , volume =.

When Derived Measurements Mislead: Quantifying and Mitigating LLM Over-Trust with Privileged-Modality Reliability Evidence Physiological Measurement , volume =

Reference 1

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Observation 68b315e6-d1a4-48a5-bd2a-d7bdbfc16c19 · outbound

This paper cites and others , title =.

When Derived Measurements Mislead: Quantifying and Mitigating LLM Over-Trust with Privileged-Modality Reliability Evidence and others , title =

Reference 2

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Observation 3eb654f3-f37c-40ac-af17-1e073e59586b · outbound

This paper cites and Sanchez, Jose M.

When Derived Measurements Mislead: Quantifying and Mitigating LLM Over-Trust with Privileged-Modality Reliability Evidence and Sanchez, Jose M

Reference 3

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This paper cites and Mahaffey, Kenneth W.

When Derived Measurements Mislead: Quantifying and Mitigating LLM Over-Trust with Privileged-Modality Reliability Evidence and Mahaffey, Kenneth W

Reference 4

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Observation 6d547426-479b-4e5c-a869-c37443eb5131 · outbound

This paper cites International Conference on Learning Representations , year =.

When Derived Measurements Mislead: Quantifying and Mitigating LLM Over-Trust with Privileged-Modality Reliability Evidence International Conference on Learning Representations , year =

Reference 5

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This paper cites arXiv preprint arXiv:2601.21031 , year =.

When Derived Measurements Mislead: Quantifying and Mitigating LLM Over-Trust with Privileged-Modality Reliability Evidence arXiv preprint arXiv:2601.21031 , year =

Reference 6

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This paper cites A robust PPG foundation model using multimodal physiological supervision.

When Derived Measurements Mislead: Quantifying and Mitigating LLM Over-Trust with Privileged-Modality Reliability Evidence A robust PPG foundation model using multimodal physiological supervision

Reference 7

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Observation 01f85403-40c0-4203-9dbf-9dbf4a277847 · outbound

This paper cites QualityFM: a Multimodal Physiological Signal Foundation Model with Self-Distillation for Signal Quality Challenges in Critically Ill Patients.

When Derived Measurements Mislead: Quantifying and Mitigating LLM Over-Trust with Privileged-Modality Reliability Evidence QualityFM: a Multimodal Physiological Signal Foundation Model with Self-Distillation for Signal Quality Challenges in Critically Ill Patients

Reference 8

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This paper cites Journal of the Franklin Institute , volume =.

When Derived Measurements Mislead: Quantifying and Mitigating LLM Over-Trust with Privileged-Modality Reliability Evidence Journal of the Franklin Institute , volume =

Reference 9

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This paper cites Biomedical Signal Processing and Control , volume =.

When Derived Measurements Mislead: Quantifying and Mitigating LLM Over-Trust with Privileged-Modality Reliability Evidence Biomedical Signal Processing and Control , volume =

Reference 10

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Observation 3da647c0-2b80-4edc-9534-6085ceac59df · outbound

This paper cites Signal Processing , volume =.

When Derived Measurements Mislead: Quantifying and Mitigating LLM Over-Trust with Privileged-Modality Reliability Evidence Signal Processing , volume =

Reference 11

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Observation 3ffc5665-6680-4fb4-86cd-221c6326c257 · outbound

This paper cites International Conference on Learning Representations , year =.

When Derived Measurements Mislead: Quantifying and Mitigating LLM Over-Trust with Privileged-Modality Reliability Evidence International Conference on Learning Representations , year =

Reference 12

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Observation c0cbfdd5-fde1-4491-ae65-dec63adab95c · outbound

This paper cites Biomedical Engineering Letters , volume =.

When Derived Measurements Mislead: Quantifying and Mitigating LLM Over-Trust with Privileged-Modality Reliability Evidence Biomedical Engineering Letters , volume =

Reference 13

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Observation 806cdde5-8dd1-4c0d-9e3e-c6d66e5adaf1 · outbound

This paper cites arXiv preprint arXiv:2510.02410 , year =.

When Derived Measurements Mislead: Quantifying and Mitigating LLM Over-Trust with Privileged-Modality Reliability Evidence arXiv preprint arXiv:2510.02410 , year =

Reference 14

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Observation 56818456-33eb-48de-bfd4-79238331881e · outbound

This paper cites Distilling the Knowledge in a Neural Network.

When Derived Measurements Mislead: Quantifying and Mitigating LLM Over-Trust with Privileged-Modality Reliability Evidence Distilling the Knowledge in a Neural Network

Reference 15

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Observation ec2db1f4-fada-4b55-ac0f-fbf98fbce493 · outbound

This paper cites Neural Networks , volume =.

When Derived Measurements Mislead: Quantifying and Mitigating LLM Over-Trust with Privileged-Modality Reliability Evidence Neural Networks , volume =

Reference 16

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Observation e8d9ec1b-b209-49f5-9c23-6abbd68b921e · outbound

This paper cites Unifying Distillation and Privileged Information , booktitle =.

When Derived Measurements Mislead: Quantifying and Mitigating LLM Over-Trust with Privileged-Modality Reliability Evidence Unifying Distillation and Privileged Information , booktitle =

Reference 17

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Observation 639eef06-bdc3-4217-9245-a105734a9b5b · outbound

This paper cites , title =.

When Derived Measurements Mislead: Quantifying and Mitigating LLM Over-Trust with Privileged-Modality Reliability Evidence , title =

Reference 18

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Observation 1fe45b1f-e11a-4eaf-82ad-317be04caa59 · outbound

This paper cites Advances in Neural Information Processing Systems , volume =.

When Derived Measurements Mislead: Quantifying and Mitigating LLM Over-Trust with Privileged-Modality Reliability Evidence Advances in Neural Information Processing Systems , volume =

Reference 19

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This paper cites Proceedings of the 36th International Conference on Machine Learning , pages =.

When Derived Measurements Mislead: Quantifying and Mitigating LLM Over-Trust with Privileged-Modality Reliability Evidence Proceedings of the 36th International Conference on Machine Learning , pages =

Reference 20

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This paper cites Advances in Neural Information Processing Systems , volume =.

When Derived Measurements Mislead: Quantifying and Mitigating LLM Over-Trust with Privileged-Modality Reliability Evidence Advances in Neural Information Processing Systems , volume =

Reference 21

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This paper cites , title =.

When Derived Measurements Mislead: Quantifying and Mitigating LLM Over-Trust with Privileged-Modality Reliability Evidence , title =

Reference 22

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When Derived Measurements Mislead: Quantifying and Mitigating LLM Over-Trust with Privileged-Modality Reliability Evidence Nature , volume =

Reference 23

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This paper cites Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics , pages =.

When Derived Measurements Mislead: Quantifying and Mitigating LLM Over-Trust with Privileged-Modality Reliability Evidence Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics , pages =

Reference 24

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This paper cites Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing , pages =.

When Derived Measurements Mislead: Quantifying and Mitigating LLM Over-Trust with Privileged-Modality Reliability Evidence Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing , pages =

Reference 25

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When Derived Measurements Mislead: Quantifying and Mitigating LLM Over-Trust with Privileged-Modality Reliability Evidence Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing , pages =

Reference 26

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This paper cites ClashEval: Quantifying the tug-of-war between an LLM's internal prior and external evidence.

When Derived Measurements Mislead: Quantifying and Mitigating LLM Over-Trust with Privileged-Modality Reliability Evidence ClashEval: Quantifying the tug-of-war between an LLM's internal prior and external evidence

Reference 27

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When Derived Measurements Mislead: Quantifying and Mitigating LLM Over-Trust with Privileged-Modality Reliability Evidence 2025 , note =

Reference 28

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This paper cites Larger and More Instructable Language Models Become Less Reliable , journal =.

When Derived Measurements Mislead: Quantifying and Mitigating LLM Over-Trust with Privileged-Modality Reliability Evidence Larger and More Instructable Language Models Become Less Reliable , journal =

Reference 29

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When Derived Measurements Mislead: Quantifying and Mitigating LLM Over-Trust with Privileged-Modality Reliability Evidence Qwen3 Technical Report

Reference 30

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When Derived Measurements Mislead: Quantifying and Mitigating LLM Over-Trust with Privileged-Modality Reliability Evidence PLOS ONE , volume =

Reference 31

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When Derived Measurements Mislead: Quantifying and Mitigating LLM Over-Trust with Privileged-Modality Reliability Evidence and Hinkley, David V

Reference 32

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When Derived Measurements Mislead: Quantifying and Mitigating LLM Over-Trust with Privileged-Modality Reliability Evidence , title =

Reference 33

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This paper cites Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition , pages =.

When Derived Measurements Mislead: Quantifying and Mitigating LLM Over-Trust with Privileged-Modality Reliability Evidence Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition , pages =

Reference 34

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When Derived Measurements Mislead: Quantifying and Mitigating LLM Over-Trust with Privileged-Modality Reliability Evidence and Kibbe, Warren A

Reference 35

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When Derived Measurements Mislead: Quantifying and Mitigating LLM Over-Trust with Privileged-Modality Reliability Evidence Mikael and Waggott, Daryl and others , title =

Reference 36

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When Derived Measurements Mislead: Quantifying and Mitigating LLM Over-Trust with Privileged-Modality Reliability Evidence , title =

Reference 37

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source=arxiv_source observed=2026-07-31T07:56:28.687360Z digest=sha256:728232646a9efdd807cc91a85589382f70107694c6c7fea423643cd8a9fce776

Observation 8c71a6f5-0058-4fb1-957d-0ff21a6a4434 · outbound

This paper cites Heart Rhythm O2 , volume =.

When Derived Measurements Mislead: Quantifying and Mitigating LLM Over-Trust with Privileged-Modality Reliability Evidence Heart Rhythm O2 , volume =

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source=arxiv_source observed=2026-07-31T07:56:28.690595Z digest=sha256:67e6f7e4e916261120441898b2074af33ceaa9f36f6c96efbe63fd0d96faba6b

Observation ed586c28-ce00-45fd-8557-fb18c79ab0f0 · outbound

This paper cites JACC: Clinical Electrophysiology , volume =.

When Derived Measurements Mislead: Quantifying and Mitigating LLM Over-Trust with Privileged-Modality Reliability Evidence JACC: Clinical Electrophysiology , volume =

Reference 39

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source=arxiv_source observed=2026-07-31T07:56:28.693543Z digest=sha256:8af562672831e3e505502e5bc1c6778c976c8423c49f96e14517e9ff6a12bf3e

Observation 1797c071-249b-4f0d-8b12-986dfb12586d · outbound

This paper cites and Do, Duc H.

When Derived Measurements Mislead: Quantifying and Mitigating LLM Over-Trust with Privileged-Modality Reliability Evidence and Do, Duc H

Reference 40

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source=arxiv_source observed=2026-07-31T07:56:28.696449Z digest=sha256:035ec80d1ec71d992cdc63d2c1e1d4b67b3c1fc33e78e6163fe4212cd04b7235

Observation 253b862b-4b00-4b5f-930d-f50b767b520f · outbound

This paper cites Advances in Neural Information Processing Systems , volume =.

When Derived Measurements Mislead: Quantifying and Mitigating LLM Over-Trust with Privileged-Modality Reliability Evidence Advances in Neural Information Processing Systems , volume =

Reference 41

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source=arxiv_source observed=2026-07-31T07:56:28.699577Z digest=sha256:55d3f4bdfd77a14a2e989da242a769982bd13f4e6828a64938764d5ffd57aba3

Observation bddd6b14-6910-4767-9961-f7a46c8a0aed · outbound

This paper cites and Nowozin, Sebastian and Dillon, Joshua and Lakshminarayanan, Balaji and Snoek, Jasper , title =.

When Derived Measurements Mislead: Quantifying and Mitigating LLM Over-Trust with Privileged-Modality Reliability Evidence and Nowozin, Sebastian and Dillon, Joshua and Lakshminarayanan, Balaji and Snoek, Jasper , title =

Reference 42

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source=arxiv_source observed=2026-07-31T07:56:28.703350Z digest=sha256:1fb12c4e13e50b88aec390a34a46b93404016a20fdc071572c5e32328aac6511

Observation 7db9fdd6-ba56-4950-b11c-70914dd8573e · outbound

This paper cites Advances in Neural Information Processing Systems , volume =.

When Derived Measurements Mislead: Quantifying and Mitigating LLM Over-Trust with Privileged-Modality Reliability Evidence Advances in Neural Information Processing Systems , volume =

Reference 43

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source=arxiv_source observed=2026-07-31T07:56:28.706289Z digest=sha256:0f3e61f841d527b7a7ae49751cf64280823116d6a4bdb79afdfd4d42af0941d0

Observation 92f66276-d469-409f-9026-b17e2f4b18b3 · outbound

This paper cites Proceedings of the 37th International Conference on Machine Learning , series =.

When Derived Measurements Mislead: Quantifying and Mitigating LLM Over-Trust with Privileged-Modality Reliability Evidence Proceedings of the 37th International Conference on Machine Learning , series =

Reference 44

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source=arxiv_source observed=2026-07-31T07:56:28.709604Z digest=sha256:5a034843f54c4ea1ca4175b86ef07a38c8a9cd69345092f1ebfb3b937a234cfa

Observation d4aaff98-19d5-4535-a46b-79ce6d4d18ae · outbound

This paper cites Proceedings of the 36th International Conference on Machine Learning , series =.

When Derived Measurements Mislead: Quantifying and Mitigating LLM Over-Trust with Privileged-Modality Reliability Evidence Proceedings of the 36th International Conference on Machine Learning , series =

Reference 45

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source=arxiv_source observed=2026-07-31T07:56:28.713716Z digest=sha256:1812e2d23ad3f5b719e4bb55860f1f43520bfc9954eb837bf5f6189cb66e392a

Observation 83ad70c0-3325-44e6-b5e3-0f86655ba5cc · outbound

This paper cites , title =.

When Derived Measurements Mislead: Quantifying and Mitigating LLM Over-Trust with Privileged-Modality Reliability Evidence , title =

Reference 46

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source=arxiv_source observed=2026-07-31T07:56:28.717346Z digest=sha256:52fb76e483e38c67c49f04ab02bb6a119382203078718cb65869d234d24a459a

Observation 5eb8a924-2886-470d-955e-e4d55d31e79a · outbound

This paper cites Proceedings of EMNLP-IJCNLP , pages =.

When Derived Measurements Mislead: Quantifying and Mitigating LLM Over-Trust with Privileged-Modality Reliability Evidence Proceedings of EMNLP-IJCNLP , pages =

Reference 47

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source=arxiv_source observed=2026-07-31T07:56:28.720811Z digest=sha256:b5006f81631ee486755e6616a9d07d4cc664dc0fa46e1a79425ac2ee49181c3e

Observation 52e2c2ff-bc24-4bc4-961d-1e7913873ecc · outbound

This paper cites Language Models (Mostly) Know What They Know.

When Derived Measurements Mislead: Quantifying and Mitigating LLM Over-Trust with Privileged-Modality Reliability Evidence Language Models (Mostly) Know What They Know

Reference 48

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source=arxiv_source observed=2026-07-31T07:56:28.723743Z digest=sha256:add7fa549d77309c1e008bd6fd04bf4b24c351fe69aad23b04e6382bf8defbe3

Observation 1c2e474d-5ef1-4154-b3e5-efcb27fda546 · outbound

This paper cites International Conference on Learning Representations , year =.

When Derived Measurements Mislead: Quantifying and Mitigating LLM Over-Trust with Privileged-Modality Reliability Evidence International Conference on Learning Representations , year =

Reference 49

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source=arxiv_source observed=2026-07-31T07:56:28.727192Z digest=sha256:8eb3f578d87902e31a3f558e494aefe535f6417d098b7b5545734025dc5f8b36

Observation 30392da7-b9a3-4802-a712-6b0d57282b8e · outbound

This paper cites Teacher Privileged Distillation: How to Deal with Imperfect Teachers? , journal =.

When Derived Measurements Mislead: Quantifying and Mitigating LLM Over-Trust with Privileged-Modality Reliability Evidence Teacher Privileged Distillation: How to Deal with Imperfect Teachers? , journal =

Reference 50

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source=arxiv_source observed=2026-07-31T07:56:28.730374Z digest=sha256:0cefcad4ed6d0a40f7a28b24da65dba5bd4797b389aa264ce97fc179b63032eb

Observation 5be4ce3d-b054-4483-8cd0-ff3dd703c883 · outbound

This paper cites an unresolved cited work.

When Derived Measurements Mislead: Quantifying and Mitigating LLM Over-Trust with Privileged-Modality Reliability Evidence Unresolved cited work

Reference 51

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source=arxiv_source observed=2026-07-31T07:56:28.733528Z digest=sha256:87037016dc2e7a02a1821ba998108b58272cb277a7ff6567ce4aa0c2910e5dad

Observation 09a590f7-5940-4044-9c79-96b3aab73b4e · outbound

This paper cites IEEE International Conference on Acoustics, Speech and Signal Processing , year =.

When Derived Measurements Mislead: Quantifying and Mitigating LLM Over-Trust with Privileged-Modality Reliability Evidence IEEE International Conference on Acoustics, Speech and Signal Processing , year =

Reference 52

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source=arxiv_source observed=2026-07-31T07:56:28.736952Z digest=sha256:ac9a7f61acff13dfa5bbe1cd529db2c431d3acf4b5817462dfecfeafee25719e

Observation 1f8ecb47-fed0-4742-b162-6bec62d4d6a3 · outbound

This paper cites arXiv preprint arXiv:2509.19215 , year =.

When Derived Measurements Mislead: Quantifying and Mitigating LLM Over-Trust with Privileged-Modality Reliability Evidence arXiv preprint arXiv:2509.19215 , year =

Reference 53

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source=arxiv_source observed=2026-07-31T07:56:28.740476Z digest=sha256:d6bec2992a9640ec69e3e80497cedb017b692cf6ef2f7f9a75bb5a78a641c94b

Observation 982d214f-4a09-4d6a-b4c5-b35b8bf02a17 · outbound

This paper cites an unresolved cited work.

When Derived Measurements Mislead: Quantifying and Mitigating LLM Over-Trust with Privileged-Modality Reliability Evidence Unresolved cited work

Reference 54

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source=arxiv_source observed=2026-07-31T07:56:28.743396Z digest=sha256:9ea307f9fa5a0c0f93d58c6a5dd348fa4398df35db28b6d638f0c0b08485cd19

Observation fcebd5a2-0c72-4057-841a-31c69113a506 · outbound

This paper cites ICML 2025 Workshop on Programmatic Representations for Agent Learning , year =.

When Derived Measurements Mislead: Quantifying and Mitigating LLM Over-Trust with Privileged-Modality Reliability Evidence ICML 2025 Workshop on Programmatic Representations for Agent Learning , year =

Reference 55

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source=arxiv_source observed=2026-07-31T07:56:28.746415Z digest=sha256:e86c3cd0a38d02d890abb1e20f6820def66e351818fda67c87a06418c5e2bdb6

Observation 58c8a514-d059-44da-82c0-80b0be43ada3 · outbound

This paper cites Understanding the Challenges in Iterative Generative Optimization with.

When Derived Measurements Mislead: Quantifying and Mitigating LLM Over-Trust with Privileged-Modality Reliability Evidence Understanding the Challenges in Iterative Generative Optimization with

Reference 56

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source=arxiv_source observed=2026-07-31T07:56:28.749272Z digest=sha256:4cabdbecad9d495ab70cb20cd47e75145ccfd1fd5c5da025112fc1feeb49da3c

Observation 5bf8beec-d471-40e6-8d36-eb612e02e034 · outbound

This paper cites Communications Engineering , volume=.

When Derived Measurements Mislead: Quantifying and Mitigating LLM Over-Trust with Privileged-Modality Reliability Evidence Communications Engineering , volume=

Reference 57

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source=arxiv_source observed=2026-07-31T07:56:28.752228Z digest=sha256:03b7602f80bbc6d6213f46a3433b99abc24461987f8bc60dad73be1533846e1b

Observation 6569cc84-a17c-4ab0-a829-05809cf166ef · outbound

This paper cites Visual ChatGPT: Talking, Drawing and Editing with Visual Foundation Models.

When Derived Measurements Mislead: Quantifying and Mitigating LLM Over-Trust with Privileged-Modality Reliability Evidence Visual ChatGPT: Talking, Drawing and Editing with Visual Foundation Models

Reference 58

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source=arxiv_source observed=2026-07-31T07:56:28.755281Z digest=sha256:4d7e1f6d6a6ef94c00069caa2659facc1855c0ab3b1c43cc8b6bb31e7e25db68

Observation 5a652d01-7690-4852-977b-86d69ca4a27b · outbound

This paper cites Proceedings of the AAAI Conference on Artificial Intelligence , volume=.

When Derived Measurements Mislead: Quantifying and Mitigating LLM Over-Trust with Privileged-Modality Reliability Evidence Proceedings of the AAAI Conference on Artificial Intelligence , volume=

Reference 59

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source=arxiv_source observed=2026-07-31T07:56:28.758508Z digest=sha256:9dc6d1d9d9a74c9081e22391aca38e44a67f4109453fa7caddb622664d07ce52

Observation 69114a54-8e12-4219-ad44-23e25973a9bf · outbound

This paper cites 2024 IEEE EMBS International Conference on Biomedical and Health Informatics (BHI) , pages=.

When Derived Measurements Mislead: Quantifying and Mitigating LLM Over-Trust with Privileged-Modality Reliability Evidence 2024 IEEE EMBS International Conference on Biomedical and Health Informatics (BHI) , pages=

Reference 60

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source=arxiv_source observed=2026-07-31T07:56:28.761535Z digest=sha256:aa11fcf151da410b9507fff776a3b55be2005388aa56f593c06ead6aff6b44c6

Pith citing papers

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