Hypothesis generation and updating in large language models | Paper Citation Record

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This paper cites NVIDIA Nemotron 3: Efficient and Open Intelligence.

Hypothesis generation and updating in large language models NVIDIA Nemotron 3: Efficient and Open Intelligence

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This paper cites Google , author =.

Hypothesis generation and updating in large language models Google , author =

Reference 2

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This paper cites From ai for science to agentic science: A survey on autonomous scientific discovery.

Hypothesis generation and updating in large language models From ai for science to agentic science: A survey on autonomous scientific discovery

Reference 3

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Hypothesis generation and updating in large language models Unresolved cited work

Reference 4

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This paper cites Kosmos: An AI Scientist for Autonomous Discovery.

Hypothesis generation and updating in large language models Kosmos: An AI Scientist for Autonomous Discovery

Reference 5

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This paper cites AI-Researcher: Autonomous Scientific Innovation.

Hypothesis generation and updating in large language models AI-Researcher: Autonomous Scientific Innovation

Reference 6

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This paper cites The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search.

Hypothesis generation and updating in large language models The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search

Reference 7

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This paper cites Towards an AI co-scientist.

Hypothesis generation and updating in large language models Towards an AI co-scientist

Reference 8

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This paper cites year =.

Hypothesis generation and updating in large language models year =

Reference 9

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This paper cites Cognitive basis of language learning in infants , volume =.

Hypothesis generation and updating in large language models Cognitive basis of language learning in infants , volume =

Reference 10

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This paper cites Journal of Child Language , author =.

Hypothesis generation and updating in large language models Journal of Child Language , author =

Reference 11

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Hypothesis generation and updating in large language models Unresolved cited work

Reference 12

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This paper cites How LLMs Detect and Correct Their Own Errors: The Role of Internal Confidence Signals.

Hypothesis generation and updating in large language models How LLMs Detect and Correct Their Own Errors: The Role of Internal Confidence Signals

Reference 13

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This paper cites Reasoning Theater: Disentangling Model Beliefs from Chain-of-Thought.

Hypothesis generation and updating in large language models Reasoning Theater: Disentangling Model Beliefs from Chain-of-Thought

Reference 14

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This paper cites Real-Time Progress Prediction in Reasoning Language Models.

Hypothesis generation and updating in large language models Real-Time Progress Prediction in Reasoning Language Models

Reference 15

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This paper cites Calibrating Reasoning in Language Models with Internal Consistency.

Hypothesis generation and updating in large language models Calibrating Reasoning in Language Models with Internal Consistency

Reference 16

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Hypothesis generation and updating in large language models Unresolved cited work

Reference 17

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This paper cites Reasoning with Sampling: Your Base Model is Smarter Than You Think.

Hypothesis generation and updating in large language models Reasoning with Sampling: Your Base Model is Smarter Than You Think

Reference 18

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This paper cites Chen, J., Hu, S., Liu, Z., and Sun, M.

Hypothesis generation and updating in large language models Chen, J., Hu, S., Liu, Z., and Sun, M

Reference 19

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This paper cites Temporal.

Hypothesis generation and updating in large language models Temporal

Reference 20

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This paper cites LLM Reasoning as Trajectories: Step-Specific Representation Geometry and Correctness Signals.

Hypothesis generation and updating in large language models LLM Reasoning as Trajectories: Step-Specific Representation Geometry and Correctness Signals

Reference 21

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This paper cites Efficient PRM Training Data Synthesis via Formal Verification.

Hypothesis generation and updating in large language models Efficient PRM Training Data Synthesis via Formal Verification

Reference 22

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This paper cites Truth as a.

Hypothesis generation and updating in large language models Truth as a

Reference 23

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This paper cites Closing the confidence-faithfulness gap in large language models.

Hypothesis generation and updating in large language models Closing the confidence-faithfulness gap in large language models

Reference 24

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This paper cites How do LLMs Compute Verbal Confidence.

Hypothesis generation and updating in large language models How do LLMs Compute Verbal Confidence

Reference 25

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This paper cites ReProbe: Efficient Test-Time Scaling of Multi-Step Reasoning by Probing Internal States of Large Language Models.

Hypothesis generation and updating in large language models ReProbe: Efficient Test-Time Scaling of Multi-Step Reasoning by Probing Internal States of Large Language Models

Reference 26

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This paper cites Do LLMs Know What They Know? Measuring Metacognitive Efficiency with Signal Detection Theory.

Hypothesis generation and updating in large language models Do LLMs Know What They Know? Measuring Metacognitive Efficiency with Signal Detection Theory

Reference 27

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This paper cites Evidence for.

Hypothesis generation and updating in large language models Evidence for

Reference 28

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Hypothesis generation and updating in large language models Unresolved cited work

Reference 29

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This paper cites Learning to.

Hypothesis generation and updating in large language models Learning to

Reference 30

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This paper cites More Capable, Less Cooperative? When LLMs Fail At Zero-Cost Collaboration.

Hypothesis generation and updating in large language models More Capable, Less Cooperative? When LLMs Fail At Zero-Cost Collaboration

Reference 31

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This paper cites Lossless data compression by large models , volume =.

Hypothesis generation and updating in large language models Lossless data compression by large models , volume =

Reference 32

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Hypothesis generation and updating in large language models Unresolved cited work

Reference 33

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This paper cites The No Free Lunch Theorem, Kolmogorov Complexity, and the Role of Inductive Biases in Machine Learning.

Hypothesis generation and updating in large language models The No Free Lunch Theorem, Kolmogorov Complexity, and the Role of Inductive Biases in Machine Learning

Reference 34

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This paper cites Language.

Hypothesis generation and updating in large language models Language

Reference 35

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This paper cites On predictability of reinforce- ment learning dynamics for large language models.CoRR, abs/2510.00553.

Hypothesis generation and updating in large language models On predictability of reinforce- ment learning dynamics for large language models.CoRR, abs/2510.00553

Reference 36

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

Hypothesis generation and updating in large language models Advances in Neural Information Processing Systems , author =

Reference 37

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This paper cites Transactions on Machine Learning Research , author =.

Hypothesis generation and updating in large language models Transactions on Machine Learning Research , author =

Reference 38

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This paper cites BIG-Bench Extra Hard.

Hypothesis generation and updating in large language models BIG-Bench Extra Hard

Reference 39

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Observation df13b7df-a3a1-4a93-a922-01e6b55f9af7 · outbound

This paper cites The Lookahead Limitation: Why Multi-Operand Addition is Hard for LLMs.

Hypothesis generation and updating in large language models The Lookahead Limitation: Why Multi-Operand Addition is Hard for LLMs

Reference 40

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This paper cites CRUXEval: A Benchmark for Code Reasoning, Understanding and Execution.

Hypothesis generation and updating in large language models CRUXEval: A Benchmark for Code Reasoning, Understanding and Execution

Reference 41

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Hypothesis generation and updating in large language models Unresolved cited work

Reference 42

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This paper cites and Moros-Daval, Yael and Zhang, Seraphina and Zhao, Qinlin and Huang, Yitian and Sun, Luning and Prunty, Jonathan E.

Hypothesis generation and updating in large language models and Moros-Daval, Yael and Zhang, Seraphina and Zhao, Qinlin and Huang, Yitian and Sun, Luning and Prunty, Jonathan E

Reference 43

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This paper cites What and.

Hypothesis generation and updating in large language models What and

Reference 44

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This paper cites Revisiting the.

Hypothesis generation and updating in large language models Revisiting the

Reference 45

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Observation 89bbc8d3-5a58-48bd-9d2e-b9b3fd00e777 · outbound

This paper cites and Piantadosi, Steven T.

Hypothesis generation and updating in large language models and Piantadosi, Steven T

Reference 46

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This paper cites 2023 , keywords =.

Hypothesis generation and updating in large language models 2023 , keywords =

Reference 47

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This paper cites Journal of Open Psychology Data , author =.

Hypothesis generation and updating in large language models Journal of Open Psychology Data , author =

Reference 48

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Hypothesis generation and updating in large language models Rules and

Reference 49

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This paper cites month = apr, year =.

Hypothesis generation and updating in large language models month = apr, year =

Reference 50

Resolution: verified exact; arxiv_id, observed 2026-05-08T21:14:12.208720Z

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Observation b86f6e62-086c-436f-9dd1-89c6ee9f4bb5 · outbound

This paper cites Bayesian teaching enables probabilistic reasoning in large language models , volume =.

Hypothesis generation and updating in large language models Bayesian teaching enables probabilistic reasoning in large language models , volume =

Reference 51

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This paper cites Magpie: Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing.

Hypothesis generation and updating in large language models Magpie: Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing

Reference 52

Resolution: verified exact; arxiv_id, observed 2026-05-16T06:58:37.155837Z

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Observation 0b494f22-b586-40aa-b01b-f9a62948d817 · outbound

This paper cites On Language Models' Sensitivity to Suspicious Coincidences.

Hypothesis generation and updating in large language models On Language Models' Sensitivity to Suspicious Coincidences

Reference 53

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Observation da5818ff-a8b9-442f-9ed5-04fd2856a259 · outbound

This paper cites an unresolved cited work.

Hypothesis generation and updating in large language models Unresolved cited work

Reference 54

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Hypothesis generation and updating in large language models Unresolved cited work

Reference 55

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Observation a9d14390-04ab-4387-9f8e-a6b2c7d95f72 · outbound

This paper cites Revisiting Uncertainty Estimation and Calibration of Large Language Models.

Hypothesis generation and updating in large language models Revisiting Uncertainty Estimation and Calibration of Large Language Models

Reference 56

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

Observation ef6e4ed6-30c8-4bb8-bfb5-d117879768b1 · outbound

This paper cites Kapoor, N.

Hypothesis generation and updating in large language models Kapoor, N

Reference 57

Resolution: verified exact; doi, observed 2026-05-08T21:14:12.614338Z

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 d7b39099-2378-481a-85d8-d7f7fa4b4d9e · outbound

This paper cites The Illusion of Thinking: Understanding the Strengths and Limitations of Reasoning Models via the Lens of Problem Complexity.

Hypothesis generation and updating in large language models The Illusion of Thinking: Understanding the Strengths and Limitations of Reasoning Models via the Lens of Problem Complexity

Reference 58

Resolution: verified exact; arxiv_id, observed 2026-05-15T16:10:31.796621Z

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

Observation bd9e3a89-5a5c-4d6a-91de-e68dbff3f2f5 · outbound

This paper cites Contextual Position Encoding: Learning to Count What's Important.

Hypothesis generation and updating in large language models Contextual Position Encoding: Learning to Count What's Important

Reference 59

Resolution: verified exact; arxiv_id, observed 2026-05-08T21:14:12.639564Z

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

Observation e413db63-9e03-480d-b264-6c04ac38ec80 · outbound

This paper cites arXiv preprint arXiv:2509.10739 , year=.

Hypothesis generation and updating in large language models arXiv preprint arXiv:2509.10739 , year=

Reference 60

Resolution: verified exact; arxiv_id, observed 2026-05-08T21:14:12.330921Z

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 f00305ee-4de6-4c8f-ba48-55b9b1f716c2 · outbound

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Hypothesis generation and updating in large language models Unresolved cited work

Reference 61

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

Observation 3de428d9-d1db-4970-95c1-a49be9cfe006 · outbound

This paper cites an unresolved cited work.

Hypothesis generation and updating in large language models Unresolved cited work

Reference 62

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

Observation 68d7090a-5f83-4c76-a79e-f2fb09b009f5 · outbound

This paper cites Position.

Hypothesis generation and updating in large language models Position

Reference 63

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

Observation d406970f-48ef-4374-9dee-06a89e1321cb · outbound

This paper cites EleutherAI Blog , author =.

Hypothesis generation and updating in large language models EleutherAI Blog , author =

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T11:37:37.911880Z

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 f4a461d7-b74d-43f9-9e19-185f33a674a1 · outbound

This paper cites Embarrassingly Simple Self-Distillation Improves Code Generation.

Hypothesis generation and updating in large language models Embarrassingly Simple Self-Distillation Improves Code Generation

Reference 65

Resolution: verified exact; arxiv_id, observed 2026-06-26T01:15:18.478768Z

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

Observation 791cac6d-ab96-4894-99a4-67548f373226 · outbound

This paper cites Learning Montezuma's Revenge from a Single Demonstration.

Hypothesis generation and updating in large language models Learning Montezuma's Revenge from a Single Demonstration

Reference 66

Resolution: verified exact; arxiv_id, observed 2026-05-08T21:14:12.576022Z

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 63804fe2-61a3-411d-abcd-5750c045f237 · outbound

This paper cites Cooperative Inverse Reinforcement Learning.

Hypothesis generation and updating in large language models Cooperative Inverse Reinforcement Learning

Reference 67

Resolution: verified exact; arxiv_id, observed 2026-05-08T21:14:12.404414Z

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 cfde71cf-a7da-422d-8b3d-6f14e32563c3 · outbound

This paper cites Test your best methods on our hard.

Hypothesis generation and updating in large language models Test your best methods on our hard

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T11:37:37.853527Z

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 13784bc3-b8cd-4a38-916c-2ebe908fa1a7 · outbound

This paper cites SKILL0: In-Context Agentic Reinforcement Learning for Skill Internalization.

Hypothesis generation and updating in large language models SKILL0: In-Context Agentic Reinforcement Learning for Skill Internalization

Reference 69

Resolution: metadata mismatch; arxiv_id, observed 2026-05-20T00:00:37.467312Z

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 b9ed458f-64a0-418d-9f1f-8e7d0ffd7a44 · outbound

This paper cites Cognitive Dark Matter: Measuring What AI Misses.

Hypothesis generation and updating in large language models Cognitive Dark Matter: Measuring What AI Misses

Reference 70

Resolution: metadata mismatch; arxiv_id, observed 2026-08-03T03:15:37.660537Z

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

Observation 8f40c6f6-7722-473c-b08e-9b4bcaf10497 · outbound

This paper cites Cognitive models and AI algorithms provide templates for designing language agents.

Hypothesis generation and updating in large language models Cognitive models and AI algorithms provide templates for designing language agents

Reference 71

Resolution: verified exact; arxiv_id, observed 2026-05-08T21:14:12.461251Z

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 fcf0aac7-129a-4af7-b8c9-649661eb5185 · outbound

This paper cites year =.

Hypothesis generation and updating in large language models year =

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T11:37:37.905582Z

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 0edeb54a-7728-4a43-9d32-2e43cd6f93c0 · outbound

This paper cites and Vezhnevets, Alexander Sasha and Diaz, Manfred and Agapiou, John P.

Hypothesis generation and updating in large language models and Vezhnevets, Alexander Sasha and Diaz, Manfred and Agapiou, John P

Reference 73

Resolution: verified exact; arxiv_id, observed 2026-05-08T21:14:12.456537Z

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 15508f36-4631-4690-a8ba-d89d2e139d7c · outbound

This paper cites Superposition Yields Robust Neural Scaling.

Hypothesis generation and updating in large language models Superposition Yields Robust Neural Scaling

Reference 74

Resolution: verified exact; local_arxiv, observed 2026-05-08T21:14:11.802350Z

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 5a406431-6aac-4af1-8997-0b6b8df8c5f2 · outbound

This paper cites Science , author =.

Hypothesis generation and updating in large language models Science , author =

Reference 75

Resolution: verified exact; doi, observed 2026-05-08T21:14:12.007531Z

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 b9b3855e-4a3e-49a9-92a0-cf91301bb7e0 · outbound

This paper cites Representations and generalization in artificial and brain neural networks , volume =.

Hypothesis generation and updating in large language models Representations and generalization in artificial and brain neural networks , volume =

Reference 76

Resolution: verified exact; doi, observed 2026-05-08T21:14:12.630733Z

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 9271fc38-c9f5-41b5-adff-a55eb6e689c9 · outbound

This paper cites (Joshua Brett) , year =.

Hypothesis generation and updating in large language models (Joshua Brett) , year =

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T11:37:37.908809Z

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 028f480d-b607-4d22-bfc1-86512fb8de11 · outbound

This paper cites Liar, Liar Pants on Fire.

Hypothesis generation and updating in large language models Liar, Liar Pants on Fire

Reference 78

Resolution: verified exact; doi, observed 2026-05-08T21:14:12.061280Z

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 a265d452-25a5-4ff4-94b2-e76cf0c8da30 · outbound

This paper cites Prototypical.

Hypothesis generation and updating in large language models Prototypical

Reference 79

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T11:37:37.926413Z

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 ab757c56-0feb-4d27-a975-13b0aab1da32 · outbound

This paper cites Gemma 3 Technical Report.

Hypothesis generation and updating in large language models Gemma 3 Technical Report

Reference 80

Resolution: metadata mismatch; arxiv_id, observed 2026-05-08T21:14:12.283722Z

Source-reported events for the cited work

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Observation 89ff62ea-41cd-441c-baca-d65d5788a0c6 · outbound

This paper cites Qwen3.5.

Hypothesis generation and updating in large language models Qwen3.5

Reference 81

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T11:37:37.930444Z

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 3e31b0bc-65bb-4023-a22c-645cfaabc746 · outbound

This paper cites Memory & Cognition , author =.

Hypothesis generation and updating in large language models Memory & Cognition , author =

Reference 82

Resolution: verified exact; doi, observed 2026-05-08T21:14:12.565162Z

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 d99e07fe-909a-46c7-967b-e4c2d5baea09 · outbound

This paper cites year =.

Hypothesis generation and updating in large language models year =

Reference 83

Resolution: verified exact; doi, observed 2026-05-08T21:14:12.418720Z

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 d03c56c5-dc6d-4a67-95bd-d1ad0da2d0e2 · outbound

This paper cites Instruction-Following Evaluation for Large Language Models.

Hypothesis generation and updating in large language models Instruction-Following Evaluation for Large Language Models

Reference 84

Resolution: verified exact; arxiv_id, observed 2026-05-08T21:14:11.784375Z

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 d68e8c28-e01c-49e6-a560-079cb7183aaf · outbound

This paper cites month = aug, year =.

Hypothesis generation and updating in large language models month = aug, year =

Reference 85

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T11:37:37.894214Z

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 d2d4ea88-ddfc-4783-b16e-5efd0f920766 · outbound

This paper cites Advances in.

Hypothesis generation and updating in large language models Advances in

Reference 86

Resolution: verified exact; doi, observed 2026-05-08T21:14:11.760282Z

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 4c0b3152-88bb-4b2d-aaf0-1a50cacb38a3 · outbound

This paper cites Damien Ernst, Pierre Geurts, and Louis Wehenkel.

Hypothesis generation and updating in large language models Damien Ernst, Pierre Geurts, and Louis Wehenkel

Reference 87

Resolution: metadata mismatch; doi, observed 2026-05-08T21:14:12.550713Z

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 0cf4e194-1fb2-4dd2-ba37-ea58b500fea7 · outbound

This paper cites Proceedings of the National Academy of Sciences , author =.

Hypothesis generation and updating in large language models Proceedings of the National Academy of Sciences , author =

Reference 88

Resolution: verified exact; doi, observed 2026-05-08T21:14:12.469751Z

Source-reported events for the cited work

correction dated 2023-03-10. Source: crossref record 10.1073/pnas.2302618120->10.1073/pnas.1915984117:correction, observed 2026-07-11T03:09:38.508366+00:00. This notice travels one citation hop only.

Observation 1c9bb7b6-aaef-413f-a408-82806c467117 · outbound

This paper cites Murray, Alberto Bernacchia, Nicholas A.

Hypothesis generation and updating in large language models Murray, Alberto Bernacchia, Nicholas A

Reference 89

Resolution: metadata mismatch; doi, observed 2026-05-08T21:14:12.411540Z

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 bdc6dca4-7d26-43ac-9d01-c83d5d8d5841 · outbound

This paper cites The selective updating of working memory: a predictive coding account , language =.

Hypothesis generation and updating in large language models The selective updating of working memory: a predictive coding account , language =

Reference 90

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T11:37:37.897106Z

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 3415c68f-2f86-40b8-bd0e-c053cf7d5dd6 · outbound

This paper cites Annual Review of Psychology , author =.

Hypothesis generation and updating in large language models Annual Review of Psychology , author =

Reference 91

Resolution: verified exact; doi, observed 2026-05-08T21:14:11.774246Z

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 1c025f57-b5d2-4beb-a5af-89e3231be64d · outbound

This paper cites Current Opinion in Behavioral Sciences , author =.

Hypothesis generation and updating in large language models Current Opinion in Behavioral Sciences , author =

Reference 92

Resolution: verified exact; doi, observed 2026-05-08T21:14:12.223360Z

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 bcfe6f02-e0d6-41fa-bf4b-e10fc354eba5 · outbound

This paper cites Nature Communications , author =.

Hypothesis generation and updating in large language models Nature Communications , author =

Reference 93

Resolution: verified exact; doi, observed 2026-05-08T21:14:12.493616Z

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 d6e5f528-aaa3-4aca-9d1e-65333a743ce3 · outbound

This paper cites Nature Communications , author =.

Hypothesis generation and updating in large language models Nature Communications , author =

Reference 94

Resolution: verified exact; doi, observed 2026-05-08T21:14:12.488519Z

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 9bfd6ec2-0c9e-4d72-9f29-2d86181cf552 · outbound

This paper cites Trends in Cognitive Sciences , author =.

Hypothesis generation and updating in large language models Trends in Cognitive Sciences , author =

Reference 95

Resolution: verified exact; doi, observed 2026-05-08T21:14:12.188279Z

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 c718251a-5550-4a8c-b5ea-4a5f9a1e85fb · outbound

This paper cites Trends in Cognitive Sciences , author =.

Hypothesis generation and updating in large language models Trends in Cognitive Sciences , author =

Reference 96

Resolution: verified exact; doi, observed 2026-05-08T21:14:12.368517Z

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 9290a1af-cb4d-4235-b91d-249679329683 · outbound

This paper cites The Journal of Neuroscience , author =.

Hypothesis generation and updating in large language models The Journal of Neuroscience , author =

Reference 97

Resolution: verified exact; arxiv_id, observed 2026-05-08T21:14:12.252349Z

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 0622aeeb-d196-40de-9146-28b98fab0968 · outbound

This paper cites month = oct, year =.

Hypothesis generation and updating in large language models month = oct, year =

Reference 98

Resolution: verified exact; doi, observed 2026-05-08T21:14:12.377037Z

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 49d62c70-6557-494d-a977-d4e717a0a28f · outbound

This paper cites Nature Human Behaviour , author =.

Hypothesis generation and updating in large language models Nature Human Behaviour , author =

Reference 99

Resolution: verified exact; doi, observed 2026-05-08T21:14:12.125013Z

Source-reported events for the cited work

correction dated 2020-10-09. Source: crossref record 10.1038/s41562-020-00993-7->10.1038/s41562-020-00938-0:correction, observed 2026-07-11T03:09:11.611456+00:00. This notice travels one citation hop only.

Observation e73daff0-40d0-4e7c-b47e-31bfe1080c67 · outbound

This paper cites Strong inhibitory signaling underlies stable temporal dynamics and working memory in spiking neural networks.

Hypothesis generation and updating in large language models Strong inhibitory signaling underlies stable temporal dynamics and working memory in spiking neural networks

Reference 100

Resolution: metadata mismatch; doi, observed 2026-05-08T21:14:12.415186Z

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.

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