NeuroCogMap Reveals Cognitive Organization of Large Language Models | Paper Citation Record

Observation 5ec4444d-759d-40a7-8c22-9ed38623972c · outbound

This paper cites Neuroscience- inspired artificial intelligence.Neuron, 95(2):245–258.

NeuroCogMap Reveals Cognitive Organization of Large Language Models Neuroscience- inspired artificial intelligence.Neuron, 95(2):245–258

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T09:02:13.087295Z

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Observation 21cf2487-8c95-43d9-98fe-45abfd27fedd · outbound

This paper cites A deep learning framework for neuroscience.Nature neuroscience, 22(11):1761–1770, 2019.

NeuroCogMap Reveals Cognitive Organization of Large Language Models A deep learning framework for neuroscience.Nature neuroscience, 22(11):1761–1770, 2019

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T09:02:13.169119Z

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Observation 5206ec6b-470f-45d9-90ff-a951989e62f5 · outbound

This paper cites A survey of large language models.Frontiers of Computer Science, 20(12):2012627, 2026.

NeuroCogMap Reveals Cognitive Organization of Large Language Models A survey of large language models.Frontiers of Computer Science, 20(12):2012627, 2026

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T09:02:13.140617Z

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Observation 9e36958b-f220-4b10-b512-35a2c3f9f260 · outbound

This paper cites Deep neural networks as scientific models.Trends in cognitive sciences, 23(4):305–317.

NeuroCogMap Reveals Cognitive Organization of Large Language Models Deep neural networks as scientific models.Trends in cognitive sciences, 23(4):305–317

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T09:02:13.236096Z

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Observation 2c2d4fa5-bd15-4748-943e-e7a22a50a595 · outbound

This paper cites Evaluating large language models in theory of mind tasks.Proceedings of the National Academy of Sciences, 121(45):e2405460121.

NeuroCogMap Reveals Cognitive Organization of Large Language Models Evaluating large language models in theory of mind tasks.Proceedings of the National Academy of Sciences, 121(45):e2405460121

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T09:02:13.119281Z

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Observation 292f7130-4f19-403e-9a77-826cc9b1b035 · outbound

This paper cites Larger and more instructable language models become less reliable.Nature, 634(8032):61–68, 2024.

NeuroCogMap Reveals Cognitive Organization of Large Language Models Larger and more instructable language models become less reliable.Nature, 634(8032):61–68, 2024

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T09:02:12.954067Z

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Observation 31a09fb4-0524-4267-8ed2-c782a5e6d8fa · outbound

This paper cites Language models transmit behavioural traits through hidden signals in data.Nature, 652(8110):615–621.

NeuroCogMap Reveals Cognitive Organization of Large Language Models Language models transmit behavioural traits through hidden signals in data.Nature, 652(8110):615–621

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T09:02:13.085406Z

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Observation f80926d9-0b05-4d86-a622-d154996f20b1 · outbound

This paper cites Vempala, and Edwin Zhang.

NeuroCogMap Reveals Cognitive Organization of Large Language Models Vempala, and Edwin Zhang

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T09:02:12.941978Z

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Observation 49c8d556-528f-4f25-9d25-d9036e1accbf · outbound

This paper cites Knowledge neurons in pretrained transformers.

NeuroCogMap Reveals Cognitive Organization of Large Language Models Knowledge neurons in pretrained transformers

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T09:02:12.996522Z

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Observation fb5cd787-7fe9-4594-ad17-626561d241d8 · outbound

This paper cites Sparse autoen- coders find highly interpretable features in language models.

NeuroCogMap Reveals Cognitive Organization of Large Language Models Sparse autoen- coders find highly interpretable features in language models

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T09:02:13.207146Z

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Observation 779fc4a8-b191-4459-b725-b1f7e2b25dfc · outbound

This paper cites Toward universal steering and monitoring of ai models.Science, 391(6787):787–792.

NeuroCogMap Reveals Cognitive Organization of Large Language Models Toward universal steering and monitoring of ai models.Science, 391(6787):787–792

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T09:02:13.146203Z

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Observation 8e1dfcdd-a09a-40f8-952c-cb1f0f7ca38e · outbound

This paper cites Causal abstraction: A theoretical foundation for mechanistic interpretability.Journal of Machine Learning Research, 26(83):1–64.

NeuroCogMap Reveals Cognitive Organization of Large Language Models Causal abstraction: A theoretical foundation for mechanistic interpretability.Journal of Machine Learning Research, 26(83):1–64

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T09:02:12.944062Z

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Observation ce68f14b-466e-4db4-bcb1-3bdd9a1d7340 · outbound

This paper cites Mechanistic understanding and validation of large ai models with semanticlens.Nature Machine Intelligence, 7(9):1572–1585, 2025.

NeuroCogMap Reveals Cognitive Organization of Large Language Models Mechanistic understanding and validation of large ai models with semanticlens.Nature Machine Intelligence, 7(9):1572–1585, 2025

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T09:02:13.182943Z

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Observation f8a257a3-051c-4c63-a471-66d99281ee06 · outbound

This paper cites The organization of the human cerebral cortex estimated by intrinsic functional connectivity.Journal of neurophysiology.

NeuroCogMap Reveals Cognitive Organization of Large Language Models The organization of the human cerebral cortex estimated by intrinsic functional connectivity.Journal of neurophysiology

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T09:02:13.133916Z

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Observation caa3f98c-7d65-4c9c-9a89-09dcfa4e922b · outbound

This paper cites Local-global parcellation of the human cerebral cortex from intrinsic functional connectivity mri.Cerebral cortex, 28(9):3095–3114.

NeuroCogMap Reveals Cognitive Organization of Large Language Models Local-global parcellation of the human cerebral cortex from intrinsic functional connectivity mri.Cerebral cortex, 28(9):3095–3114

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T09:02:13.216560Z

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Observation 1038004a-e042-4824-9add-e2089c57daef · outbound

This paper cites A multi-modal parcellation of human cerebral cortex.Nature, 536(7615):171–178, 2016.

NeuroCogMap Reveals Cognitive Organization of Large Language Models A multi-modal parcellation of human cerebral cortex.Nature, 536(7615):171–178, 2016

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T09:02:13.142474Z

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Observation a19b2a4a-5cd2-425f-8a59-2ed76d274dd2 · outbound

This paper cites Natural speech reveals the semantic maps that tile human cerebral cortex.Nature, 532(7600):453–458.

NeuroCogMap Reveals Cognitive Organization of Large Language Models Natural speech reveals the semantic maps that tile human cerebral cortex.Nature, 532(7600):453–458

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T09:02:13.211094Z

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Observation a4897c0c-2706-4227-8a4b-04e8d2b5ffdd · outbound

This paper cites Human cognition involves the dynamic integration of neural activity and neuromodulatory systems.Nature neuroscience, 22(2):289–296, 2019.

NeuroCogMap Reveals Cognitive Organization of Large Language Models Human cognition involves the dynamic integration of neural activity and neuromodulatory systems.Nature neuroscience, 22(2):289–296, 2019

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T09:02:13.046909Z

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Observation b367c7a0-05ba-4630-9b4c-d98aacbb0944 · outbound

This paper cites Bloom’s taxonomy of cognitive learning objectives.Journal of the Medical Library Association: JMLA, 103(3):152, 2015.

NeuroCogMap Reveals Cognitive Organization of Large Language Models Bloom’s taxonomy of cognitive learning objectives.Journal of the Medical Library Association: JMLA, 103(3):152, 2015

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T09:02:13.175630Z

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Observation 06cf28ad-e7f7-4b64-bda3-a735b0604d03 · outbound

This paper cites Using human brain lesions to infer function: a relic from a past era in the fmri age?Nature Reviews Neuroscience, 5(10):812–819, 2004.

NeuroCogMap Reveals Cognitive Organization of Large Language Models Using human brain lesions to infer function: a relic from a past era in the fmri age?Nature Reviews Neuroscience, 5(10):812–819, 2004

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T09:02:13.052485Z

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Observation f04907c9-a6f6-4c75-812b-8ae86d011093 · outbound

This paper cites Locating and editing factual associations in gpt.Advances in neural information processing systems, 35:17359–17372.

NeuroCogMap Reveals Cognitive Organization of Large Language Models Locating and editing factual associations in gpt.Advances in neural information processing systems, 35:17359–17372

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T09:02:13.209093Z

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Observation a0afe7bb-a4bc-4bcc-a5f3-fe8f1a056735 · outbound

This paper cites arXiv preprint arXiv:2511.13653 , year =.

NeuroCogMap Reveals Cognitive Organization of Large Language Models arXiv preprint arXiv:2511.13653 , year =

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-07-02T02:46:27.597236Z

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Observation 113b6a71-c816-4086-a127-943960d8b853 · outbound

This paper cites Gemma scope: Open sparse autoencoders everywhere all at once on gemma 2.

NeuroCogMap Reveals Cognitive Organization of Large Language Models Gemma scope: Open sparse autoencoders everywhere all at once on gemma 2

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T09:02:13.018985Z

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Observation f54e3568-1c2b-4b81-a0af-815070e95f3b · outbound

This paper cites Gemma 2: Improving Open Language Models at a Practical Size.

NeuroCogMap Reveals Cognitive Organization of Large Language Models Gemma 2: Improving Open Language Models at a Practical Size

Reference 24

Resolution: verified exact; local_arxiv, observed 2026-07-02T02:46:27.633453Z

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Observation f592d6d9-bfc5-41d6-86e5-ab03be3e967e · outbound

This paper cites The Llama 3 Herd of Models.

NeuroCogMap Reveals Cognitive Organization of Large Language Models The Llama 3 Herd of Models

Reference 25

Resolution: verified exact; local_arxiv, observed 2026-07-02T02:46:27.623853Z

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Observation 89daac50-b2b4-4c2a-9453-c027c0c19fca · outbound

This paper cites Pythia: A suite for analyzing large language models across training and scaling.

NeuroCogMap Reveals Cognitive Organization of Large Language Models Pythia: A suite for analyzing large language models across training and scaling

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T09:02:13.212979Z

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Observation b4f7aeb6-db38-44bd-9a0c-98011fb0fa4f · outbound

This paper cites Truthfulqa: Measuring how models mimic human falsehoods.

NeuroCogMap Reveals Cognitive Organization of Large Language Models Truthfulqa: Measuring how models mimic human falsehoods

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T09:02:13.167286Z

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Observation 4c6544b7-15d6-4a53-a1ac-a7550e5c4726 · outbound

This paper cites Latent retrieval for weakly supervised open domain question answering.

NeuroCogMap Reveals Cognitive Organization of Large Language Models Latent retrieval for weakly supervised open domain question answering

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T09:02:13.222580Z

Source-reported events for the cited work

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Observation f6ae732e-a19d-4d6e-994b-e9dc60d3f6f1 · outbound

This paper cites Halueval: A large-scale hallucination evaluation benchmark for large language models.

NeuroCogMap Reveals Cognitive Organization of Large Language Models Halueval: A large-scale hallucination evaluation benchmark for large language models

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T09:02:13.179150Z

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Observation 4e865007-35ca-47be-a828-1adab96f5e67 · outbound

This paper cites Medhallu: A comprehensive benchmark for detecting medical hallucinations in large language models.

NeuroCogMap Reveals Cognitive Organization of Large Language Models Medhallu: A comprehensive benchmark for detecting medical hallucinations in large language models

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T09:02:13.110357Z

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Observation be1349d2-0f72-4d11-b50b-768c777da7e9 · outbound

This paper cites Free dolly: Introducing the world’s first truly open instruction-tuned llm.

NeuroCogMap Reveals Cognitive Organization of Large Language Models Free dolly: Introducing the world’s first truly open instruction-tuned llm

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Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T09:02:13.056161Z

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Observation 20218b10-3fe1-48b9-b865-04d79a4bc478 · outbound

This paper cites Crowdsourcing multiple choice science questions.

NeuroCogMap Reveals Cognitive Organization of Large Language Models Crowdsourcing multiple choice science questions

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T09:02:13.122968Z

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Observation 424a3bc4-3c0e-49cb-8f6a-89dc0b9a4fc6 · outbound

This paper cites Selfcheckgpt: Zero-resource black-box hallucination detection for generative large language models.

NeuroCogMap Reveals Cognitive Organization of Large Language Models Selfcheckgpt: Zero-resource black-box hallucination detection for generative large language models

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Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T09:02:13.130124Z

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Observation dcb1a086-d835-4f3c-b2f1-c310f718cdeb · outbound

This paper cites arXiv preprint arXiv:2509.03531 , year=.

NeuroCogMap Reveals Cognitive Organization of Large Language Models arXiv preprint arXiv:2509.03531 , year=

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Resolution: verified exact; arxiv_id, observed 2026-07-02T02:46:27.618529Z

Source-reported events for the cited work

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Observation 1a726293-0ea2-4e57-8281-e877b3ccaaf4 · outbound

This paper cites Uncertainty estimation in autoregressive structured prediction.

NeuroCogMap Reveals Cognitive Organization of Large Language Models Uncertainty estimation in autoregressive structured prediction

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Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T09:02:12.968172Z

Source-reported events for the cited work

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Observation a7c6dfdd-5eb3-4c7b-8d77-4acfa6998e8b · outbound

This paper cites Out-of-distribution detection and selective generation for conditional language models.

NeuroCogMap Reveals Cognitive Organization of Large Language Models Out-of-distribution detection and selective generation for conditional language models

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Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T09:02:13.005993Z

Source-reported events for the cited work

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Observation 5a4a2340-bf00-4a49-bc4e-78298689d408 · outbound

This paper cites Detecting hallucinations in large language models using semantic entropy.Nature, 630(8017):625–630.

NeuroCogMap Reveals Cognitive Organization of Large Language Models Detecting hallucinations in large language models using semantic entropy.Nature, 630(8017):625–630

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Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T09:02:13.068067Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 879be88d-775f-4df9-944a-86529eebeb60 · outbound

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

NeuroCogMap Reveals Cognitive Organization of Large Language Models Universal and Transferable Adversarial Attacks on Aligned Language Models

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Resolution: verified exact; local_arxiv, observed 2026-07-02T02:46:27.603062Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation a808f046-b5ae-4420-af62-a43ab74089a4 · outbound

This paper cites Jailbreakbench: An open robustness benchmark for jailbreaking large language models.Advances in Neural Information Processing Systems, 37:55005–55029.

NeuroCogMap Reveals Cognitive Organization of Large Language Models Jailbreakbench: An open robustness benchmark for jailbreaking large language models.Advances in Neural Information Processing Systems, 37:55005–55029

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Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T09:02:13.077759Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation acaed70e-9700-426c-9acd-cf2d80efff6e · outbound

This paper cites Baseline defenses for adversarial attacks against aligned language models, 2024.

NeuroCogMap Reveals Cognitive Organization of Large Language Models Baseline defenses for adversarial attacks against aligned language models, 2024

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Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T09:02:13.239851Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation a4ccdd58-d73f-4fa8-bfef-8732558e544b · outbound

This paper cites Single- pass detection of jailbreaking input in large language models.Transactions on Machine Learning Research, 2025.

NeuroCogMap Reveals Cognitive Organization of Large Language Models Single- pass detection of jailbreaking input in large language models.Transactions on Machine Learning Research, 2025

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Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T09:02:13.201410Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 18c9dad8-83c8-48ba-9c26-b3614dfc0502 · outbound

This paper cites Smoothllm: Defending large language models against jailbreaking attacks.Transactions on Machine Learning Research, 2025.

NeuroCogMap Reveals Cognitive Organization of Large Language Models Smoothllm: Defending large language models against jailbreaking attacks.Transactions on Machine Learning Research, 2025

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Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T09:02:13.113844Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 125f7678-fb55-49c2-8212-cf820d9d814c · outbound

This paper cites The neural architecture of language: Inte- grative modeling converges on predictive processing.Proceedings of the National Academy of Sciences, 118(45):e2105646118, 2021.

NeuroCogMap Reveals Cognitive Organization of Large Language Models The neural architecture of language: Inte- grative modeling converges on predictive processing.Proceedings of the National Academy of Sciences, 118(45):e2105646118, 2021

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T09:02:13.199527Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation c7316571-e32b-4706-9e82-b62b1fc0a84e · outbound

This paper cites Shared functional specialization in transformer-based language models and the human brain.Nature communications, 15(1):5523, 2024.

NeuroCogMap Reveals Cognitive Organization of Large Language Models Shared functional specialization in transformer-based language models and the human brain.Nature communications, 15(1):5523, 2024

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Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T09:02:13.050565Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 87113ab7-ea3e-42ed-9736-9d22748c6793 · outbound

This paper cites Increasing alignment of large language models with language processing in the human brain.Nature computational science, 5(11):1080–1090, 2025.

NeuroCogMap Reveals Cognitive Organization of Large Language Models Increasing alignment of large language models with language processing in the human brain.Nature computational science, 5(11):1080–1090, 2025

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Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T09:02:12.982659Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation bfc8bba7-4dac-4cc2-9eaf-6749d73450f7 · outbound

This paper cites Instruction- tuning aligns llms to the human brain.

NeuroCogMap Reveals Cognitive Organization of Large Language Models Instruction- tuning aligns llms to the human brain

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T09:02:12.952224Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation cf665cc9-3784-4b43-b1d5-da3bf87c239b · outbound

This paper cites A natural language fmri dataset for voxelwise encoding models.Scientific Data, 10(1):555, 2023.

NeuroCogMap Reveals Cognitive Organization of Large Language Models A natural language fmri dataset for voxelwise encoding models.Scientific Data, 10(1):555, 2023

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Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T09:02:12.990283Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 6c4332e0-2ef4-494e-83c0-22df26193060 · outbound

This paper cites Toward a universal decoder of linguistic meaning from brain activation.Nature communications, 9(1):963, 2018.

NeuroCogMap Reveals Cognitive Organization of Large Language Models Toward a universal decoder of linguistic meaning from brain activation.Nature communications, 9(1):963, 2018

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T09:02:13.121214Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 3c8c3a84-51b5-415f-864e-41e1e2622a08 · outbound

This paper cites Bert: Pre-training of deep bidi- rectional transformers for language understanding.

NeuroCogMap Reveals Cognitive Organization of Large Language Models Bert: Pre-training of deep bidi- rectional transformers for language understanding

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T09:02:13.022812Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation a266e660-ab58-4c68-ab14-9cd3afbd0092 · outbound

This paper cites LITcoder: A General-Purpose Library for Building and Comparing Encoding Models.

NeuroCogMap Reveals Cognitive Organization of Large Language Models LITcoder: A General-Purpose Library for Building and Comparing Encoding Models

Reference 50

Resolution: verified exact; local_arxiv, observed 2026-07-02T02:46:27.626412Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 5efa0620-b701-4776-a522-96845f70451d · outbound

This paper cites an unresolved cited work.

NeuroCogMap Reveals Cognitive Organization of Large Language Models Unresolved cited work

Reference 51

Resolution: unresolved; raw_fallback, observed 2026-07-06T09:02:13.156252Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 56f715fc-6b87-4d9a-8b7d-b739de11facb · outbound

This paper cites Mapping neurotransmitter systems to the structural and functional organization of the human neocortex.Nature neuroscience, 25(11):1569–1581.

NeuroCogMap Reveals Cognitive Organization of Large Language Models Mapping neurotransmitter systems to the structural and functional organization of the human neocortex.Nature neuroscience, 25(11):1569–1581

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T09:02:12.966391Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation db996d5e-a62c-4a52-bf9c-c10d7bf6a4a1 · outbound

This paper cites Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation Models.

NeuroCogMap Reveals Cognitive Organization of Large Language Models Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation Models

Reference 53

Resolution: verified exact; local_arxiv, observed 2026-07-02T02:46:27.614699Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation bc49cee6-074a-4e0f-9170-df9ccee65207 · outbound

This paper cites Representational similarity analysis- connecting the branches of systems neuroscience.Frontiers in systems neuroscience, 2:249, 2008.

NeuroCogMap Reveals Cognitive Organization of Large Language Models Representational similarity analysis- connecting the branches of systems neuroscience.Frontiers in systems neuroscience, 2:249, 2008

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T09:02:13.231954Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 53f21f2e-8d97-47e6-8bee-89e585e6149a · outbound

This paper cites Rethinking model-based and model-free influences on mental effort and striatal prediction errors.Nature Human Behaviour, 7(6):956–969, 2023.

NeuroCogMap Reveals Cognitive Organization of Large Language Models Rethinking model-based and model-free influences on mental effort and striatal prediction errors.Nature Human Behaviour, 7(6):956–969, 2023

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T09:02:13.103004Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation ffd4c91e-7768-4d4c-ab18-f92d1700047b · outbound

This paper cites When does model-based control pay off? PLoS computational biology, 12(8):e1005090, 2016.

NeuroCogMap Reveals Cognitive Organization of Large Language Models When does model-based control pay off? PLoS computational biology, 12(8):e1005090, 2016

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T09:02:12.956188Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation f601ec4c-3cb5-4f0f-9c5d-40bf7394e881 · outbound

This paper cites Cost-benefit arbitration between multiple reinforcement-learning systems.Psychological science, 28(9):1321–1333, 2017.

NeuroCogMap Reveals Cognitive Organization of Large Language Models Cost-benefit arbitration between multiple reinforcement-learning systems.Psychological science, 28(9):1321–1333, 2017

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T09:02:12.992469Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 6c246eff-8ed2-4e64-826b-bc29678e4e77 · outbound

This paper cites A foundation model to predict and capture human cognition.Nature, 644(8078):1002–1009, 2025.

NeuroCogMap Reveals Cognitive Organization of Large Language Models A foundation model to predict and capture human cognition.Nature, 644(8078):1002–1009, 2025

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T09:02:13.066088Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation b1527f10-09b6-4360-8e9c-2dc87928aac5 · outbound

This paper cites Model-based fmri and its application to reward learning and decision making.Annals of the New York Academy of sciences, 1104(1):35–53, 2007.

NeuroCogMap Reveals Cognitive Organization of Large Language Models Model-based fmri and its application to reward learning and decision making.Annals of the New York Academy of sciences, 1104(1):35–53, 2007

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T09:02:12.999782Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 99cd60d9-20e4-4b0b-ab57-ad5b2736d68d · outbound

This paper cites States versus rewards: dissociable neural prediction error signals underlying model-based and model-free reinforcement learning.Neuron, 66(4):585–595, 2010.

NeuroCogMap Reveals Cognitive Organization of Large Language Models States versus rewards: dissociable neural prediction error signals underlying model-based and model-free reinforcement learning.Neuron, 66(4):585–595, 2010

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T09:02:13.010685Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation f7348aa6-8d3a-4891-864d-48487aef4166 · outbound

This paper cites Model-based influences on humans’ choices and striatal prediction errors.Neuron, 69(6):1204–1215, 2011.

NeuroCogMap Reveals Cognitive Organization of Large Language Models Model-based influences on humans’ choices and striatal prediction errors.Neuron, 69(6):1204–1215, 2011

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T09:02:13.158261Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation d73fd02d-540b-448b-bfe5-6f8cdb87689b · outbound

This paper cites Intent matters: Resolving the intentional versus incidental learning paradox in episodic long-term memory.Journal of Experimental Psychology: General, 152(1):268, 2023.

NeuroCogMap Reveals Cognitive Organization of Large Language Models Intent matters: Resolving the intentional versus incidental learning paradox in episodic long-term memory.Journal of Experimental Psychology: General, 152(1):268, 2023

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T09:02:12.948579Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 45c5423e-0e95-4453-bef4-17a3e3a6ab20 · outbound

This paper cites Generalized outcome-based strategy classification: Comparing deterministic and probabilistic choice models.Psychonomic bulletin & review, 21(6):1431–1443, 2014.

NeuroCogMap Reveals Cognitive Organization of Large Language Models Generalized outcome-based strategy classification: Comparing deterministic and probabilistic choice models.Psychonomic bulletin & review, 21(6):1431–1443, 2014

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T09:02:13.148244Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation ffd6f9d9-9b8f-424d-9c8e-16d139cb9fe7 · outbound

This paper cites Deficits in category learning in older adults: Rule-based versus clustering accounts.Psychology and Aging, 32(5):473, 2017.

NeuroCogMap Reveals Cognitive Organization of Large Language Models Deficits in category learning in older adults: Rule-based versus clustering accounts.Psychology and Aging, 32(5):473, 2017

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T09:02:13.106475Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 335825fb-9a98-44a9-b179-e20910682f2d · outbound

This paper cites The globalizability of temporal discounting.Nature Human Behaviour, 6(10):1386–1397, 2022.

NeuroCogMap Reveals Cognitive Organization of Large Language Models The globalizability of temporal discounting.Nature Human Behaviour, 6(10):1386–1397, 2022

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T09:02:13.108307Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 5d8a0687-3bf9-4e3d-889e-3ef194744dcf · outbound

This paper cites arm bandit task dataset (2022).URL osf.

NeuroCogMap Reveals Cognitive Organization of Large Language Models arm bandit task dataset (2022).URL osf

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T09:02:13.104682Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 49659250-1f51-40e3-9694-b3222bff4b4b · outbound

This paper cites A new look at the statistical model identification.IEEE transactions on automatic control, 19(6):716–723, 1974.

NeuroCogMap Reveals Cognitive Organization of Large Language Models A new look at the statistical model identification.IEEE transactions on automatic control, 19(6):716–723, 1974

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T09:02:13.241664Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation c2fd8b5e-33b4-4e05-940f-af98f5dada4b · outbound

This paper cites Survey of hallucination in natural language generation.ACM computing surveys, 55(12):1–38.

NeuroCogMap Reveals Cognitive Organization of Large Language Models Survey of hallucination in natural language generation.ACM computing surveys, 55(12):1–38

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T09:02:12.972047Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation ece45297-43b2-4b4b-a74d-cda194d63750 · outbound

This paper cites Bias and fairness in large language models: A survey.

NeuroCogMap Reveals Cognitive Organization of Large Language Models Bias and fairness in large language models: A survey

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T09:02:13.089281Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 84db4d5d-91ef-4d1b-8e51-a083922b7870 · outbound

This paper cites Defending chatgpt against jailbreak attack via self-reminders.Nature Machine Intelligence, 5(12):1486– 1496, 2023.

NeuroCogMap Reveals Cognitive Organization of Large Language Models Defending chatgpt against jailbreak attack via self-reminders.Nature Machine Intelligence, 5(12):1486– 1496, 2023

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T09:02:12.970173Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 3330bb36-3a51-407d-be25-1401fd1c7a7e · outbound

This paper cites Sycophantic ai decreases prosocial intentions and promotes dependence.Science, 391(6792):eaec8352, 2026.

NeuroCogMap Reveals Cognitive Organization of Large Language Models Sycophantic ai decreases prosocial intentions and promotes dependence.Science, 391(6792):eaec8352, 2026

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T09:02:12.950497Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 792b0aaf-ade6-4855-a129-efada7957649 · outbound

This paper cites Attention is all you need.Advances in neural information processing systems, 30.

NeuroCogMap Reveals Cognitive Organization of Large Language Models Attention is all you need.Advances in neural information processing systems, 30

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T09:02:12.987247Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation c2e0c98a-dd8c-457d-a0cd-66ff3ec580d5 · outbound

This paper cites Poldrack, Aniket Kittur, Donald Kalar, Eric Miller, Christian Seppa, Yolanda Gil, Douglas S.

NeuroCogMap Reveals Cognitive Organization of Large Language Models Poldrack, Aniket Kittur, Donald Kalar, Eric Miller, Christian Seppa, Yolanda Gil, Douglas S

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T09:02:13.001703Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 2c13e071-fab0-4cb4-a853-fd3767caa169 · outbound

This paper cites Poldrack, Thomas E.

NeuroCogMap Reveals Cognitive Organization of Large Language Models Poldrack, Thomas E

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T09:02:12.964174Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation e322485a-b52e-4bf3-ba30-108d0e36f26a · outbound

This paper cites Intent matters: Resolving the intentional versus incidental learning paradox in episodic long-term memory.Journal of experimental psychology.

NeuroCogMap Reveals Cognitive Organization of Large Language Models Intent matters: Resolving the intentional versus incidental learning paradox in episodic long-term memory.Journal of experimental psychology

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T09:02:13.016763Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation f5c2ad99-0baf-4e18-99e3-610901659d95 · outbound

This paper cites A survey on multimodal large language models.National Science Review, 11(12):nwae403.

NeuroCogMap Reveals Cognitive Organization of Large Language Models A survey on multimodal large language models.National Science Review, 11(12):nwae403

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T09:02:13.248860Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation f16e3388-8111-4954-84fd-010f4bd05d54 · outbound

This paper cites Visual instruction tuning.Advances in neural information processing systems, 36:34892–34916, 2023.

NeuroCogMap Reveals Cognitive Organization of Large Language Models Visual instruction tuning.Advances in neural information processing systems, 36:34892–34916, 2023

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T09:02:13.008188Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation bcad6693-cdf3-4fd3-bcc8-084f00994b50 · outbound

This paper cites Multimodal learning with next-token prediction for large multimodal models.Nature, pages 1–7, 2026.

NeuroCogMap Reveals Cognitive Organization of Large Language Models Multimodal learning with next-token prediction for large multimodal models.Nature, pages 1–7, 2026

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T09:02:13.003752Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation fa55aa23-ee98-4db4-9db9-5eaafdff4846 · outbound

This paper cites A brain-wide map of neural activity during complex behaviour.Nature, 645:177–191, 2025.

NeuroCogMap Reveals Cognitive Organization of Large Language Models A brain-wide map of neural activity during complex behaviour.Nature, 645:177–191, 2025

Reference 79

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T09:02:13.031322Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation bcb4508d-4cd8-4311-98a5-f0c78d2b391f · outbound

This paper cites Greaves, Leonardo Novelli, Sina Mansour L., Andrew Zalesky, and Adeel Razi.

NeuroCogMap Reveals Cognitive Organization of Large Language Models Greaves, Leonardo Novelli, Sina Mansour L., Andrew Zalesky, and Adeel Razi

Reference 80

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T09:02:13.071764Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 52f8dad9-399a-4ee6-a210-d8fd1168e519 · outbound

This paper cites Revealing gene function with statistical inference at single-cell resolution.Nature Reviews Genetics, 25:623–638, 2024.

NeuroCogMap Reveals Cognitive Organization of Large Language Models Revealing gene function with statistical inference at single-cell resolution.Nature Reviews Genetics, 25:623–638, 2024

Reference 81

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T09:02:13.083490Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation b3a14216-c2f8-4a3e-a0c9-80701daf21e6 · outbound

This paper cites Openreview, 2026.

NeuroCogMap Reveals Cognitive Organization of Large Language Models Openreview, 2026

Reference 82

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T09:02:13.128229Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 88194d69-50b9-4d5e-b068-383929996362 · outbound

This paper cites Llama Scope: Extracting Millions of Features from Llama-3.1-8B with Sparse Autoencoders.

NeuroCogMap Reveals Cognitive Organization of Large Language Models Llama Scope: Extracting Millions of Features from Llama-3.1-8B with Sparse Autoencoders

Reference 83

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T02:46:27.620414Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation d7fcbd22-5479-42f7-b4aa-f1b7ec6ed35a · outbound

This paper cites Estimating the number of clusters in a data set via the gap statistic.Journal of the royal statistical society: series b (statistical methodology), 63(2):411– 423, 2001.

NeuroCogMap Reveals Cognitive Organization of Large Language Models Estimating the number of clusters in a data set via the gap statistic.Journal of the royal statistical society: series b (statistical methodology), 63(2):411– 423, 2001

Reference 84

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T09:02:13.193769Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation e1b4bf55-2be7-4e45-9f89-14a7813a6eeb · outbound

This paper cites Human brain structural connectivity matrices–ready for modelling.Scientific Data, 9(1):486, 2022.

NeuroCogMap Reveals Cognitive Organization of Large Language Models Human brain structural connectivity matrices–ready for modelling.Scientific Data, 9(1):486, 2022

Reference 85

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T09:02:12.994370Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 4200c816-a518-4158-bf78-998410a6d6de · outbound

This paper cites gpt-oss-120b & gpt-oss-20b Model Card.

NeuroCogMap Reveals Cognitive Organization of Large Language Models gpt-oss-120b & gpt-oss-20b Model Card

Reference 86

Resolution: verified exact; local_arxiv, observed 2026-07-02T02:46:27.630089Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation cf0e9154-ee76-4be3-a6d0-09f77974abff · outbound

This paper cites Update to GPT-5 system card: GPT-5.2.

NeuroCogMap Reveals Cognitive Organization of Large Language Models Update to GPT-5 system card: GPT-5.2

Reference 87

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T09:02:12.946280Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation c6d6ecdf-6e36-41ee-b189-a55aae96063a · outbound

This paper cites Efficient memory management for large language model serving with pagedattention.

NeuroCogMap Reveals Cognitive Organization of Large Language Models Efficient memory management for large language model serving with pagedattention

Reference 88

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T09:02:13.069867Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation f8c0b2dd-1cdd-47a6-a091-42a338483609 · outbound

This paper cites Physics of language models: Part 3.1, knowledge storage and extraction.

NeuroCogMap Reveals Cognitive Organization of Large Language Models Physics of language models: Part 3.1, knowledge storage and extraction

Reference 89

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T09:02:13.218519Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation d6020a4f-3810-4cad-be20-1a2d072a32d1 · outbound

This paper cites Decoupled weight decay regularization.

NeuroCogMap Reveals Cognitive Organization of Large Language Models Decoupled weight decay regularization

Reference 90

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T09:02:13.230073Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 21dd0c5e-be95-4599-ac6a-5ad011782b02 · outbound

This paper cites Bbq: A hand-built bias benchmark for question answering.

NeuroCogMap Reveals Cognitive Organization of Large Language Models Bbq: A hand-built bias benchmark for question answering

Reference 91

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T09:02:13.203354Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation b00e93ba-fc2b-4c7e-9085-9b15e7cc30c7 · outbound

This paper cites Towards understanding sycophancy in language models.

NeuroCogMap Reveals Cognitive Organization of Large Language Models Towards understanding sycophancy in language models

Reference 92

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T09:02:13.226419Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 3e09a797-f73d-49b1-91a3-178c7302997a · outbound

This paper cites A theory of pavlovian conditioning: Variations in the effectiveness of reinforcement and non-reinforcement.Classical conditioning, Current research and theory, 2:64–69, 1972.

NeuroCogMap Reveals Cognitive Organization of Large Language Models A theory of pavlovian conditioning: Variations in the effectiveness of reinforcement and non-reinforcement.Classical conditioning, Current research and theory, 2:64–69, 1972

Reference 93

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T09:02:13.101157Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation a4ff0c29-0542-4b6e-b225-15fd3ca1efe7 · outbound

This paper cites A simple sequentially rejective multiple test procedure.Scandinavian journal of statistics, pages 65–70, 1979.

NeuroCogMap Reveals Cognitive Organization of Large Language Models A simple sequentially rejective multiple test procedure.Scandinavian journal of statistics, pages 65–70, 1979

Reference 94

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T09:02:13.126428Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 26b5623d-9009-4600-9c53-c6bee1d4c8a8 · outbound

This paper cites an unresolved cited work.

NeuroCogMap Reveals Cognitive Organization of Large Language Models Unresolved cited work

Reference 95

Resolution: unresolved; raw_fallback, observed 2026-07-06T09:02:13.073708Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 2a7149a2-19c4-48d7-9811-10a3e4097e3a · outbound

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

NeuroCogMap Reveals Cognitive Organization of Large Language Models Measuring sycophancy of language models in multi-turn dialogues

Reference 96

Resolution: verified exact; arxiv_id, observed 2026-07-02T02:46:27.611091Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation ef52fa1e-ec8f-478b-9efe-e4d4b25bdf80 · outbound

This paper cites Stereoset: Measuring stereotypical bias in pretrained language models.

NeuroCogMap Reveals Cognitive Organization of Large Language Models Stereoset: Measuring stereotypical bias in pretrained language models

Reference 97

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T09:02:12.958116Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 4fdebde6-2951-4e8a-a29b-c9d42c1fc492 · outbound

This paper cites Bias a-head? analyzing bias in transformer-based language model attention heads.

NeuroCogMap Reveals Cognitive Organization of Large Language Models Bias a-head? analyzing bias in transformer-based language model attention heads

Reference 98

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T09:02:13.195616Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 76aba3d2-22a6-4d33-ab9e-db05e36a7444 · outbound

This paper cites Monitoring latent world states in language models with propositional probes.

NeuroCogMap Reveals Cognitive Organization of Large Language Models Monitoring latent world states in language models with propositional probes

Reference 99

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T09:02:13.160017Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 79e8eb0b-519f-46c8-878a-19cbe792d4a4 · outbound

This paper cites The finley affair: A signal event in the history of forecast verification.Weather and forecasting, 11(1):3–20, 1996.

NeuroCogMap Reveals Cognitive Organization of Large Language Models The finley affair: A signal event in the history of forecast verification.Weather and forecasting, 11(1):3–20, 1996

Reference 100

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T09:02:13.163602Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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