Reality Monitoring in Large Language Models: Self-Knowledge That Transforms with Conversation Memory | Paper Citation Record

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Reality Monitoring in Large Language Models: Self-Knowledge That Transforms with Conversation Memory Unresolved cited work

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This paper cites Emergent Abilities of Large Language Models.

Reality Monitoring in Large Language Models: Self-Knowledge That Transforms with Conversation Memory Emergent Abilities of Large Language Models

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This paper cites How Do Large Language Models Acquire Factual Knowledge During Pretraining?.

Reality Monitoring in Large Language Models: Self-Knowledge That Transforms with Conversation Memory How Do Large Language Models Acquire Factual Knowledge During Pretraining?

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Reality Monitoring in Large Language Models: Self-Knowledge That Transforms with Conversation Memory Language Models as Knowledge Bases?

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This paper cites Linearity of Relation Decoding in Transformer Language Models.

Reality Monitoring in Large Language Models: Self-Knowledge That Transforms with Conversation Memory Linearity of Relation Decoding in Transformer Language Models

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This paper cites Emergent World Representations: Exploring a Sequence Model Trained on a Synthetic Task.

Reality Monitoring in Large Language Models: Self-Knowledge That Transforms with Conversation Memory Emergent World Representations: Exploring a Sequence Model Trained on a Synthetic Task

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This paper cites Emergent introspective awareness in large language models (2025).

Reality Monitoring in Large Language Models: Self-Knowledge That Transforms with Conversation Memory Emergent introspective awareness in large language models (2025)

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This paper cites Looking Inward: Language Models Can Learn About Themselves by Introspection.

Reality Monitoring in Large Language Models: Self-Knowledge That Transforms with Conversation Memory Looking Inward: Language Models Can Learn About Themselves by Introspection

Reference 8

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This paper cites Introspective capabilities in large language models.Journal of Consciousness Studies30, 143–153 (2023).

Reality Monitoring in Large Language Models: Self-Knowledge That Transforms with Conversation Memory Introspective capabilities in large language models.Journal of Consciousness Studies30, 143–153 (2023)

Reference 9

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This paper cites Does It Make Sense to Speak of Introspection in Large Language Models?.

Reality Monitoring in Large Language Models: Self-Knowledge That Transforms with Conversation Memory Does It Make Sense to Speak of Introspection in Large Language Models?

Reference 10

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This paper cites & Lu, C.From imitation to introspection: Prob- ing self-consciousness in language models.

Reality Monitoring in Large Language Models: Self-Knowledge That Transforms with Conversation Memory & Lu, C.From imitation to introspection: Prob- ing self-consciousness in language models

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This paper cites & Evans, O.Towards a situational awareness benchmark for LLMs.

Reality Monitoring in Large Language Models: Self-Knowledge That Transforms with Conversation Memory & Evans, O.Towards a situational awareness benchmark for LLMs

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This paper cites Probing and Steering Evaluation Awareness of Language Models.

Reality Monitoring in Large Language Models: Self-Knowledge That Transforms with Conversation Memory Probing and Steering Evaluation Awareness of Language Models

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This paper cites Large Language Models Often Know When They Are Being Evaluated.

Reality Monitoring in Large Language Models: Self-Knowledge That Transforms with Conversation Memory Large Language Models Often Know When They Are Being Evaluated

Reference 14

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This paper cites Claude Sonnet 3.7 (often) knows when it’s in align- ment evaluations (2025).

Reality Monitoring in Large Language Models: Self-Knowledge That Transforms with Conversation Memory Claude Sonnet 3.7 (often) knows when it’s in align- ment evaluations (2025)

Reference 15

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This paper cites The Claude 3 model family: Opus, Sonnet, Haiku.

Reality Monitoring in Large Language Models: Self-Knowledge That Transforms with Conversation Memory The Claude 3 model family: Opus, Sonnet, Haiku

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Reality Monitoring in Large Language Models: Self-Knowledge That Transforms with Conversation Memory Unresolved cited work

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Reality Monitoring in Large Language Models: Self-Knowledge That Transforms with Conversation Memory H., Hickman, K

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Reality Monitoring in Large Language Models: Self-Knowledge That Transforms with Conversation Memory A., MacKnight, R., Kline, B

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This paper cites Escalation risks from language models in military and diplo- matic decision-making.

Reality Monitoring in Large Language Models: Self-Knowledge That Transforms with Conversation Memory Escalation risks from language models in military and diplo- matic decision-making

Reference 20

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Reality Monitoring in Large Language Models: Self-Knowledge That Transforms with Conversation Memory Unresolved cited work

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Reality Monitoring in Large Language Models: Self-Knowledge That Transforms with Conversation Memory Unresolved cited work

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Reality Monitoring in Large Language Models: Self-Knowledge That Transforms with Conversation Memory R., Bond, R., Gibbard, E., Johnson, M

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Reality Monitoring in Large Language Models: Self-Knowledge That Transforms with Conversation Memory S., Garrison, J

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Reality Monitoring in Large Language Models: Self-Knowledge That Transforms with Conversation Memory S., Ritchey, M

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Reality Monitoring in Large Language Models: Self-Knowledge That Transforms with Conversation Memory S., Henson, R

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Reality Monitoring in Large Language Models: Self-Knowledge That Transforms with Conversation Memory & Fleming, S

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Reality Monitoring in Large Language Models: Self-Knowledge That Transforms with Conversation Memory & de Haan, E

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Reality Monitoring in Large Language Models: Self-Knowledge That Transforms with Conversation Memory & Dudley, R

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Reality Monitoring in Large Language Models: Self-Knowledge That Transforms with Conversation Memory P., Baker, G

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Reality Monitoring in Large Language Models: Self-Knowledge That Transforms with Conversation Memory [blinded for review] (2024)

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Reality Monitoring in Large Language Models: Self-Knowledge That Transforms with Conversation Memory The signs and symptoms of schizophrenia.Comprehensive Psychiatry 26, 103–112 (1985)

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Reality Monitoring in Large Language Models: Self-Knowledge That Transforms with Conversation Memory Unresolved cited work

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Reality Monitoring in Large Language Models: Self-Knowledge That Transforms with Conversation Memory J., Gorman, J

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Reality Monitoring in Large Language Models: Self-Knowledge That Transforms with Conversation Memory M., Amador, X., Malaspina, D

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Reality Monitoring in Large Language Models: Self-Knowledge That Transforms with Conversation Memory Unresolved cited work

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Reality Monitoring in Large Language Models: Self-Knowledge That Transforms with Conversation Memory Unresolved cited work

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Reality Monitoring in Large Language Models: Self-Knowledge That Transforms with Conversation Memory Unresolved cited work

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Reality Monitoring in Large Language Models: Self-Knowledge That Transforms with Conversation Memory R.et al.Illusions and delusions: relating experimentally-induced false memories to anomalous experiences and ideas.Frontiers in Behavioral Neuroscience3, 53 (2009)

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Reality Monitoring in Large Language Models: Self-Knowledge That Transforms with Conversation Memory F., Staff, R

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Reality Monitoring in Large Language Models: Self-Knowledge That Transforms with Conversation Memory Unresolved cited work

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Reality Monitoring in Large Language Models: Self-Knowledge That Transforms with Conversation Memory Unresolved cited work

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Reality Monitoring in Large Language Models: Self-Knowledge That Transforms with Conversation Memory A., Leong, Y

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Reality Monitoring in Large Language Models: Self-Knowledge That Transforms with Conversation Memory R., Canavan, S

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Reality Monitoring in Large Language Models: Self-Knowledge That Transforms with Conversation Memory & Kopelman, M

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Reality Monitoring in Large Language Models: Self-Knowledge That Transforms with Conversation Memory Spontaneous confabulation, reality monitoring, and the limbic system — a review.Brain Research Reviews36, 150–160 (2001)

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Reality Monitoring in Large Language Models: Self-Knowledge That Transforms with Conversation Memory Unresolved cited work

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Reality Monitoring in Large Language Models: Self-Knowledge That Transforms with Conversation Memory & Luqman, H

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Reality Monitoring in Large Language Models: Self-Knowledge That Transforms with Conversation Memory Higher-order representation in AI.Philosophy and the Mind Sciences7 (2026)

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Reality Monitoring in Large Language Models: Self-Knowledge That Transforms with Conversation Memory MIRROR: A Hierarchical Benchmark for Metacognitive Calibration in Large Language Models

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Reality Monitoring in Large Language Models: Self-Knowledge That Transforms with Conversation Memory The Metacognitive Monitoring Battery: A Cross-Domain Benchmark for LLM Self-Monitoring

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Reality Monitoring in Large Language Models: Self-Knowledge That Transforms with Conversation Memory Evidence for Limited Metacognition in LLMs

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Reality Monitoring in Large Language Models: Self-Knowledge That Transforms with Conversation Memory Assessing Episodic Memory in LLMs with Sequence Order Recall Tasks

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Reality Monitoring in Large Language Models: Self-Knowledge That Transforms with Conversation Memory Unresolved cited work

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Reality Monitoring in Large Language Models: Self-Knowledge That Transforms with Conversation Memory Unresolved cited work

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Reality Monitoring in Large Language Models: Self-Knowledge That Transforms with Conversation Memory J., Podd, J

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Reality Monitoring in Large Language Models: Self-Knowledge That Transforms with Conversation Memory Unresolved cited work

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Reality Monitoring in Large Language Models: Self-Knowledge That Transforms with Conversation Memory & Phillips, L

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This paper cites & Valdenegro-Toro, M.Overconfidence is key: Verbalized uncertainty evaluation in large language and vision-language models.

Reality Monitoring in Large Language Models: Self-Knowledge That Transforms with Conversation Memory & Valdenegro-Toro, M.Overconfidence is key: Verbalized uncertainty evaluation in large language and vision-language models

Reference 62

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Observation f0734d8e-09d3-4af9-acc3-b594de69aeba · outbound

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

Reality Monitoring in Large Language Models: Self-Knowledge That Transforms with Conversation Memory Language Models (Mostly) Know What They Know

Reference 63

Resolution: unresolved; no resolver link, observed 2026-07-31T23:35:48.708178Z

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Observation af8caac7-7bc3-4d1f-9dc4-9ec9613d2b65 · outbound

This paper cites an unresolved cited work.

Reality Monitoring in Large Language Models: Self-Knowledge That Transforms with Conversation Memory Unresolved cited work

Reference 64

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Observation 75d425ee-b9cb-4394-9118-228a224a0f84 · outbound

This paper cites an unresolved cited work.

Reality Monitoring in Large Language Models: Self-Knowledge That Transforms with Conversation Memory Unresolved cited work

Reference 65

Resolution: unresolved; no resolver link, observed 2026-07-31T23:35:48.929773Z

Source-reported events for the cited work

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Observation 1697b782-5f37-45ca-82c1-04ca305aab42 · outbound

This paper cites an unresolved cited work.

Reality Monitoring in Large Language Models: Self-Knowledge That Transforms with Conversation Memory Unresolved cited work

Reference 66

Resolution: unresolved; no resolver link, observed 2026-07-31T23:35:48.964442Z

Source-reported events for the cited work

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Observation 72e03d84-8e20-482a-970c-1563cb3fd42b · outbound

This paper cites Towards Automated Circuit Discovery for Mechanistic Interpretability.

Reality Monitoring in Large Language Models: Self-Knowledge That Transforms with Conversation Memory Towards Automated Circuit Discovery for Mechanistic Interpretability

Reference 67

Resolution: unresolved; no resolver link, observed 2026-07-31T23:35:49.065747Z

Source-reported events for the cited work

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Observation ccf4616c-71f4-4915-bab1-4f1b580c634e · outbound

This paper cites an unresolved cited work.

Reality Monitoring in Large Language Models: Self-Knowledge That Transforms with Conversation Memory Unresolved cited work

Reference 68

Resolution: unresolved; no resolver link, observed 2026-07-31T23:35:49.138922Z

Source-reported events for the cited work

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Observation c69ca421-4c7c-4df7-918f-5beff1fe672b · outbound

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Reality Monitoring in Large Language Models: Self-Knowledge That Transforms with Conversation Memory & Gavves, E

Reference 69

Resolution: unresolved; no resolver link, observed 2026-07-31T23:35:49.244281Z

Source-reported events for the cited work

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Observation 2a3b841a-71fc-420f-abb0-9c450c68f489 · outbound

This paper cites arXiv:2603.18353.

Reality Monitoring in Large Language Models: Self-Knowledge That Transforms with Conversation Memory arXiv:2603.18353

Reference 70

Resolution: unresolved; no resolver link, observed 2026-07-31T23:35:49.377989Z

Source-reported events for the cited work

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Observation b3ceb3df-ce1d-48f3-8097-648917270d04 · outbound

This paper cites LessWrong (2025).

Reality Monitoring in Large Language Models: Self-Knowledge That Transforms with Conversation Memory LessWrong (2025)

Reference 71

Resolution: unresolved; no resolver link, observed 2026-07-31T23:35:49.409446Z

Source-reported events for the cited work

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Observation 78706c2d-689e-48bf-a2ca-7c96dc239c67 · outbound

This paper cites Because we have LLMs, we Can and Should Pursue Agentic Interpretability.

Reality Monitoring in Large Language Models: Self-Knowledge That Transforms with Conversation Memory Because we have LLMs, we Can and Should Pursue Agentic Interpretability

Reference 72

Resolution: unresolved; no resolver link, observed 2026-07-31T23:35:49.490635Z

Source-reported events for the cited work

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Observation 38887423-ce17-468d-86b1-200ec1565378 · outbound

This paper cites Large Language Models Sensitivity to The Order of Options in Multiple-Choice Questions.

Reality Monitoring in Large Language Models: Self-Knowledge That Transforms with Conversation Memory Large Language Models Sensitivity to The Order of Options in Multiple-Choice Questions

Reference 73

Resolution: unresolved; no resolver link, observed 2026-07-31T23:35:49.558525Z

Source-reported events for the cited work

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Observation ce43c25b-5b05-4365-8b68-42e7270b5985 · outbound

This paper cites & Schielzeth, H.

Reality Monitoring in Large Language Models: Self-Knowledge That Transforms with Conversation Memory & Schielzeth, H

Reference 74

Resolution: unresolved; no resolver link, observed 2026-07-31T23:35:49.615426Z

Source-reported events for the cited work

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Observation c63a5482-3596-48be-90a6-892a2029658a · outbound

This paper cites an unresolved cited work.

Reality Monitoring in Large Language Models: Self-Knowledge That Transforms with Conversation Memory Unresolved cited work

Reference 75

Resolution: unresolved; no resolver link, observed 2026-07-31T23:35:49.705592Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6394d83a-2668-47da-9414-d2ccbdb49e5a · outbound

This paper cites an unresolved cited work.

Reality Monitoring in Large Language Models: Self-Knowledge That Transforms with Conversation Memory Unresolved cited work

Reference 76

Resolution: unresolved; no resolver link, observed 2026-07-31T23:35:49.738430Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4ad5f705-d77b-4449-90b6-3239d620d4bc · outbound

This paper cites an unresolved cited work.

Reality Monitoring in Large Language Models: Self-Knowledge That Transforms with Conversation Memory Unresolved cited work

Reference 77

Resolution: unresolved; no resolver link, observed 2026-07-31T23:35:49.806801Z

Source-reported events for the cited work

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