Paper Citation Record · LEDGER

NeuroAI for AI Safety

As of 18 August 2026, this Paper Citation Record lists 100 of 299 outbound references and 6 inbound Pith citation observations for arXiv:2411.18526.

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

pith.paper-citation-record.v1
2411.18526 v2

Coverage vector

measured 100 of 299 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T11:12:24.542789Z

measured 106 of 106 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T04:16:33.154402Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-05-12T06:41:45.771592Z

Reference resolution

100 of 299 outbound references displayed

verified exact0
verified fuzzy0
unresolved99
parse uncertain0
malformed identifier1
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 9e56e6e6-17f1-4997-b5d0-2289963d8c58 · outbound

This paper cites Playing Atari with deep reinforcement learning.

NeuroAI for AI Safety Playing Atari with deep reinforcement learning

Reference 1

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Observation 57cf07a8-1a92-4d55-8337-c443e666cc92 · outbound

This paper cites Mastering the game of Go with deep neural networks and tree search.

NeuroAI for AI Safety Mastering the game of Go with deep neural networks and tree search

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-12T11:12:24.259063Z

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Observation d4f6eed6-0802-4de2-ac08-9d44917b89b6 · outbound

This paper cites A general reinforcement learning algorithm that masters chess, shogi, and Go through self-play.

NeuroAI for AI Safety A general reinforcement learning algorithm that masters chess, shogi, and Go through self-play

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-12T11:12:24.262276Z

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Observation bf82d41e-8a20-42c5-94f5-c71812689a1f · outbound

This paper cites ImageNet Classification with Deep Convolutional Neural Networks.

NeuroAI for AI Safety ImageNet Classification with Deep Convolutional Neural Networks

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-12T11:12:24.265985Z

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Observation 0e411acd-085c-4958-bcd1-8eef9d06cd13 · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

NeuroAI for AI Safety An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-12T11:12:24.269541Z

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Observation 5aa58dd4-3b7d-4704-88b3-a271a09eb015 · outbound

This paper cites A survey of deep learning techniques for autonomous driving.

NeuroAI for AI Safety A survey of deep learning techniques for autonomous driving

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-12T11:12:24.272605Z

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Observation 46bb37c5-b910-4f30-8277-489829f0961d · outbound

This paper cites AI in health and medicine.

NeuroAI for AI Safety AI in health and medicine

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-12T11:12:24.275812Z

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Observation 054c832c-fc83-46b0-a009-0823e147e123 · outbound

This paper cites Highly accurate protein structure prediction with AlphaFold.

NeuroAI for AI Safety Highly accurate protein structure prediction with AlphaFold

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-12T11:12:24.279574Z

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Observation 79c5c2d5-9bb3-4bdb-91c9-108112a7a9a0 · outbound

This paper cites Broadly applicable and accurate protein design by integrating structure prediction networks and diffusion generative models.

NeuroAI for AI Safety Broadly applicable and accurate protein design by integrating structure prediction networks and diffusion generative models

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-12T11:12:24.283001Z

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Observation 4f23489a-fd49-44c1-bebb-01d323bf6958 · outbound

This paper cites Language Models are Few-Shot Learners.

NeuroAI for AI Safety Language Models are Few-Shot Learners

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-12T11:12:24.285559Z

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Observation f348b347-b1f0-4235-a471-eaa8812b93fc · outbound

This paper cites Sparks of Artificial General Intelligence: Early experiments with GPT-4.

NeuroAI for AI Safety Sparks of Artificial General Intelligence: Early experiments with GPT-4

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-12T11:12:24.288090Z

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Observation 8e8be244-fdc2-422a-afd2-8ba32a51aff6 · outbound

This paper cites Solving olympiad geometry without human demonstrations.

NeuroAI for AI Safety Solving olympiad geometry without human demonstrations

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-12T11:12:24.290751Z

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Observation 6b0b0183-45c8-404e-a77b-29c7041b56d9 · outbound

This paper cites Learning skillful medium-range global weather forecasting.

NeuroAI for AI Safety Learning skillful medium-range global weather forecasting

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-12T11:12:24.293112Z

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Observation 206c5b47-6def-4a48-b158-a5020a0febe0 · outbound

This paper cites Neural general circulation models for weather and climate.

NeuroAI for AI Safety Neural general circulation models for weather and climate

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-12T11:12:24.295571Z

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Observation ec2c2cbb-0f59-4714-a57d-39f1e360d69b · outbound

This paper cites Accelerating materials discovery using artificial intelligence, high performance computing and robotics.

NeuroAI for AI Safety Accelerating materials discovery using artificial intelligence, high performance computing and robotics

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-12T11:12:24.298069Z

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Observation 6e88f1df-9c52-414b-8add-481c329247e7 · outbound

This paper cites Tackling climate change with machine learning.

NeuroAI for AI Safety Tackling climate change with machine learning

Reference 16

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Observation 9204f665-1d49-4efe-bed2-0c322a331792 · outbound

This paper cites Estimating the Carbon Footprint of BLOOM, a 176B Parameter Language Model.

NeuroAI for AI Safety Estimating the Carbon Footprint of BLOOM, a 176B Parameter Language Model

Reference 17

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Observation 92f9a6fa-4091-4ade-9759-c3601a466e79 · outbound

This paper cites Mitigating unwanted biases with adversarial learning.

NeuroAI for AI Safety Mitigating unwanted biases with adversarial learning

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-12T11:12:24.306237Z

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Observation bf1458a2-6d7f-43fa-9af8-6b218299f541 · outbound

This paper cites On the dangers of stochastic parrots: can language models be too big?.

NeuroAI for AI Safety On the dangers of stochastic parrots: can language models be too big?

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-12T11:12:24.308983Z

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Observation af08aa00-ce2f-483e-a312-c31ad9ee2e3c · outbound

This paper cites Geopolitical implications of AI and digital surveillance adoption.

NeuroAI for AI Safety Geopolitical implications of AI and digital surveillance adoption

Reference 20

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Observation 927c2b51-a454-4d14-9a28-84d2dc36ca7b · outbound

This paper cites Dual use of artificial intelligence-powered drug discovery.

NeuroAI for AI Safety Dual use of artificial intelligence-powered drug discovery

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-12T11:12:24.314537Z

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Observation 3bc5c92b-5f77-4365-bb36-1d9bffc199c2 · outbound

This paper cites Superintelligence: Paths, dangers, strategies.

NeuroAI for AI Safety Superintelligence: Paths, dangers, strategies

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-12T11:12:24.318284Z

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Observation 1fe65264-f586-4025-bde7-d28f5f0081a8 · outbound

This paper cites Concrete Problems in AI Safety.

NeuroAI for AI Safety Concrete Problems in AI Safety

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-12T11:12:24.320974Z

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Observation 1353115d-ea39-4f4a-85ef-aead92dd8558 · outbound

This paper cites Managing extreme AI risks amid rapid progress.

NeuroAI for AI Safety Managing extreme AI risks amid rapid progress

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-12T11:12:24.324259Z

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Observation 25af8e58-b678-49c8-80ca-a70c1b503a42 · outbound

This paper cites Interim Report.

NeuroAI for AI Safety Interim Report

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-12T11:12:24.327317Z

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Observation 86bdf8d6-f385-4cee-a900-d8f251052874 · outbound

This paper cites An Overview of Catastrophic AI Risks.

NeuroAI for AI Safety An Overview of Catastrophic AI Risks

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-12T11:12:24.330318Z

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Observation 23169d7a-3abc-46e3-83bd-0011ca1e2b04 · outbound

This paper cites GPTs are GPTs: An Early Look at the Labor Market Impact Potential of Large Language Models.

NeuroAI for AI Safety GPTs are GPTs: An Early Look at the Labor Market Impact Potential of Large Language Models

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-12T11:12:24.333265Z

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Observation 8e4e98c9-e3e7-4438-80be-18918c4762d8 · outbound

This paper cites Hierarchical text-conditional image generation with CLIP latents.

NeuroAI for AI Safety Hierarchical text-conditional image generation with CLIP latents

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-12T11:12:24.336177Z

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Observation 24c61d91-1f14-4ef3-9b96-2c0645488d12 · outbound

This paper cites The alignment problem: Machine learning and human values.

NeuroAI for AI Safety The alignment problem: Machine learning and human values

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-12T11:12:24.338920Z

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Observation 4e10b96a-8c74-4f9e-8cae-b5b1fd6eaff9 · outbound

This paper cites Self-driving laboratories to autonomously navigate the protein fitness landscape.

NeuroAI for AI Safety Self-driving laboratories to autonomously navigate the protein fitness landscape

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-12T11:12:24.342381Z

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Observation 345b47a5-317d-4810-bf27-cb69b8f27235 · outbound

This paper cites Generative agents: Interactive simulacra of human behavior.

NeuroAI for AI Safety Generative agents: Interactive simulacra of human behavior

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-12T11:12:24.345176Z

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Observation e3ae4c33-ea2e-4ba6-b82f-0578a2d8fe84 · outbound

This paper cites PaperQA: Retrieval-augmented generative agent for scientific research.

NeuroAI for AI Safety PaperQA: Retrieval-augmented generative agent for scientific research

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-12T11:12:24.348085Z

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Observation f2ff8174-bba5-4871-b90f-7a63ebacd8c6 · outbound

This paper cites The AI Scientist: Towards fully automated open-ended scientific discovery.

NeuroAI for AI Safety The AI Scientist: Towards fully automated open-ended scientific discovery

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-12T11:12:24.350966Z

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Observation 17c00677-87ca-43a1-9d6a-f1b01d29b2bb · outbound

This paper cites SWE-bench: Can language models resolve real-world GitHub issues?.

NeuroAI for AI Safety SWE-bench: Can language models resolve real-world GitHub issues?

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-12T11:12:24.353758Z

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Observation 9bb3a05c-de47-41d3-92db-511ad7d7d838 · outbound

This paper cites SWE-agent: Agent-Computer Interfaces Enable Automated Software Engineering.

NeuroAI for AI Safety SWE-agent: Agent-Computer Interfaces Enable Automated Software Engineering

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-12T11:12:24.356605Z

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Observation bba250d7-354d-4cab-8443-637135fc8cc8 · outbound

This paper cites Human compatible: Artificial intelligence and the problem of control.

NeuroAI for AI Safety Human compatible: Artificial intelligence and the problem of control

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-12T11:12:24.359515Z

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Observation 52710a40-2afe-42d2-b228-5699e1b290b2 · outbound

This paper cites The Illusion Of AI’s Existential Risk.

NeuroAI for AI Safety The Illusion Of AI’s Existential Risk

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-12T11:12:24.362352Z

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Observation 3770b97d-e70e-469a-8d9f-ffb1400fd5e6 · outbound

This paper cites Evolution of behavioural control from chordates to primates.

NeuroAI for AI Safety Evolution of behavioural control from chordates to primates

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-12T11:12:24.365093Z

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Observation a85c2ff8-71f5-4dbb-9d65-476c4a9de33f · outbound

This paper cites A Brief History of Intelligence.

NeuroAI for AI Safety A Brief History of Intelligence

Reference 39

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Observation 48cf6b1f-6bb9-4f6b-a9c5-c6254a0abb4f · outbound

This paper cites Building safe artificial intelligence: specification, robustness, and assurance.

NeuroAI for AI Safety Building safe artificial intelligence: specification, robustness, and assurance

Reference 40

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Observation 4cdb0cbb-e028-4788-a0ab-f2347e91ad3e · outbound

This paper cites Shortcut learning in deep neural networks.

NeuroAI for AI Safety Shortcut learning in deep neural networks

Reference 41

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Observation 5f39111a-9969-474d-9207-28c8fbb6edbf · outbound

This paper cites Testing methods of neural systems understanding.

NeuroAI for AI Safety Testing methods of neural systems understanding

Reference 42

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Observation fc3db9c5-6f2d-48a8-91a7-2985c6db0809 · outbound

This paper cites Explaining and harnessing adversarial examples.

NeuroAI for AI Safety Explaining and harnessing adversarial examples

Reference 43

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Observation 529ae21e-8516-4fb4-b2d7-38d6687ea5ce · outbound

This paper cites Adversarial Examples that Fool both Computer Vision and Time-Limited Humans.

NeuroAI for AI Safety Adversarial Examples that Fool both Computer Vision and Time-Limited Humans

Reference 44

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Observation 587c28b5-3c87-4209-b96a-213d2addb9d1 · outbound

This paper cites Adversarial Examples Are Not Bugs, They Are Features.

NeuroAI for AI Safety Adversarial Examples Are Not Bugs, They Are Features

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-12T11:12:24.382217Z

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Observation 3bc6bc6c-3c76-43ba-99ef-539825438160 · outbound

This paper cites Adversarially trained neural representations may already be as robust as corresponding biological neural representations.

NeuroAI for AI Safety Adversarially trained neural representations may already be as robust as corresponding biological neural representations

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-12T11:12:24.384657Z

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Observation edad5383-d541-4539-bc4a-0a6fb7122ecc · outbound

This paper cites Adversarial Robustness Limits via Scaling-Law and Human-Alignment Studies.

NeuroAI for AI Safety Adversarial Robustness Limits via Scaling-Law and Human-Alignment Studies

Reference 47

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Observation 97266075-418d-4052-bbd0-663d7947a3bb · outbound

This paper cites Ensemble everything everywhere: Multi-scale aggregation for adversarial robustness.

NeuroAI for AI Safety Ensemble everything everywhere: Multi-scale aggregation for adversarial robustness

Reference 48

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Observation 203b2067-fe4f-4c36-b8dc-e2505ea0595c · outbound

This paper cites Learning from brains how to regularize machines.

NeuroAI for AI Safety Learning from brains how to regularize machines

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-12T11:12:24.393434Z

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Observation cb42f9f5-40e1-46c0-8730-a6866a7e77f2 · outbound

This paper cites Simulating a Primary Visual Cortex at the Front of CNNs Improves Robustness to Image Perturbations.

NeuroAI for AI Safety Simulating a Primary Visual Cortex at the Front of CNNs Improves Robustness to Image Perturbations

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-12T11:12:24.396337Z

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Observation 8a1f69a4-23aa-4504-b8b9-1c10f7b859c5 · outbound

This paper cites Towards robust vision by multi-task learning on monkey visual cortex.

NeuroAI for AI Safety Towards robust vision by multi-task learning on monkey visual cortex

Reference 51

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Observation 4a4e5244-2d05-4b8a-8f59-7c39a939e786 · outbound

This paper cites Vision: A computational approach.

NeuroAI for AI Safety Vision: A computational approach

Reference 53

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Observation a83dc2ae-1d91-403f-8ffe-abb767285148 · outbound

This paper cites Whole Brain Emulation: A Roadmap.

NeuroAI for AI Safety Whole Brain Emulation: A Roadmap

Reference 54

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Observation c6033a7f-f9a1-49aa-b974-4aff6a7313f3 · outbound

This paper cites Intro to Brain-Like-AGI Safety.

NeuroAI for AI Safety Intro to Brain-Like-AGI Safety

Reference 55

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Observation faac4b83-9dea-4c3c-969b-23a00241b524 · outbound

This paper cites Neurotechnology is Critical for AI Alignment.

NeuroAI for AI Safety Neurotechnology is Critical for AI Alignment

Reference 56

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Observation 3f1cf21e-62ad-4195-bc40-0a7b7aa39bb2 · outbound

This paper cites Distillation of Neurotech and Alignment Workshop January 2023.

NeuroAI for AI Safety Distillation of Neurotech and Alignment Workshop January 2023

Reference 57

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Observation b6569660-7f84-4e88-8ebf-1114a3f782e2 · outbound

This paper cites Research Debt.

NeuroAI for AI Safety Research Debt

Reference 58

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Observation 304b3128-d242-4c48-a17f-25b01ae6d312 · outbound

This paper cites Thinking, Fast and Slow.

NeuroAI for AI Safety Thinking, Fast and Slow

Reference 59

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Observation e9b7b7ee-85ca-4d55-83b5-5ad417591da7 · outbound

This paper cites Sapiens: A brief history of humankind.

NeuroAI for AI Safety Sapiens: A brief history of humankind

Reference 60

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Observation c3dd6f8c-494f-4f78-8c84-6a7bd0509c10 · outbound

This paper cites Discourse on Method.

NeuroAI for AI Safety Discourse on Method

Reference 61

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Observation 3efb8df0-1eaf-4eab-b28c-030ffb6c919c · outbound

This paper cites Unsupervised neural network models of the ventral visual stream.

NeuroAI for AI Safety Unsupervised neural network models of the ventral visual stream

Reference 62

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Observation 69e0bf2d-ace7-4c8e-9246-8390cb8278c4 · outbound

This paper cites Understanding the Failure Modes of Out-of-Distribution Generalization.

NeuroAI for AI Safety Understanding the Failure Modes of Out-of-Distribution Generalization

Reference 63

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Observation a22d16af-bf9e-48df-832f-361f12af7afe · outbound

This paper cites Building machines that learn and think like people.

NeuroAI for AI Safety Building machines that learn and think like people

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-12T11:12:24.437838Z

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Observation 2adbe6f3-3dde-457b-aa3e-5090fac12fb6 · outbound

This paper cites ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness.

NeuroAI for AI Safety ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-12T11:12:24.440805Z

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Observation b830708e-19b5-4345-b52f-0492d0c068d9 · outbound

This paper cites Towards a foundation model of the mouse visual cortex.

NeuroAI for AI Safety Towards a foundation model of the mouse visual cortex

Reference 66

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Observation 8d54fc2d-83d9-4a52-90b6-3394ae607487 · outbound

This paper cites Neural population control via deep image synthesis.

NeuroAI for AI Safety Neural population control via deep image synthesis

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-12T11:12:24.446515Z

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Observation a208e943-a979-4e63-85f0-eac4ef9b2a19 · outbound

This paper cites Inception loops discover what excites neurons most using deep predictive models.

NeuroAI for AI Safety Inception loops discover what excites neurons most using deep predictive models

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-12T11:12:24.449374Z

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Observation e97036b7-b4b2-4f63-85fd-dd270221d036 · outbound

This paper cites A survey on transferability of adversarial examples across Deep Neural Networks.

NeuroAI for AI Safety A survey on transferability of adversarial examples across Deep Neural Networks

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-12T11:12:24.452208Z

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Observation 070759b8-a18a-4356-af20-4be2294b84ed · outbound

This paper cites Decision-based adversarial attacks: Reliable attacks against black-box machine learning models.

NeuroAI for AI Safety Decision-based adversarial attacks: Reliable attacks against black-box machine learning models

Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-12T11:12:24.455046Z

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Observation 6d393743-b325-4b4b-997a-885973014b8c · outbound

This paper cites Synthesizing robust adversarial examples.

NeuroAI for AI Safety Synthesizing robust adversarial examples

Reference 71

Resolution: unresolved; no resolver link, observed 2026-08-12T11:12:24.457858Z

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Observation 77d027af-cb83-452b-94fb-be78210fd791 · outbound

This paper cites Exploring scaling trends in LLM robustness.

NeuroAI for AI Safety Exploring scaling trends in LLM robustness

Reference 72

Resolution: unresolved; no resolver link, observed 2026-08-12T11:12:24.460607Z

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Observation 9fc80ef7-4084-4def-b9f7-7f2dfbc65026 · outbound

This paper cites Adversarial policies beat superhuman Go AIs.

NeuroAI for AI Safety Adversarial policies beat superhuman Go AIs

Reference 73

Resolution: unresolved; no resolver link, observed 2026-08-12T11:12:24.463153Z

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Observation 385cecde-5189-4b09-bd8d-6bc273bb5412 · outbound

This paper cites AI Safety in a World of Vulnerable Machine Learning Systems.

NeuroAI for AI Safety AI Safety in a World of Vulnerable Machine Learning Systems

Reference 74

Resolution: unresolved; no resolver link, observed 2026-08-12T11:12:24.465589Z

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Observation 5d444aea-cd2d-4f59-b5d6-685928e88ea6 · outbound

This paper cites A critique of pure learning and what artificial neural networks can learn from animal brains.

NeuroAI for AI Safety A critique of pure learning and what artificial neural networks can learn from animal brains

Reference 75

Resolution: malformed identifier; no resolver link, observed 2026-08-12T11:12:24.467853Z

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Observation e53183a1-dd19-4104-b57c-c0a541a8c3b5 · outbound

This paper cites Direct Fit to Nature: An Evolutionary Perspective on Biological and Artificial Neural Networks.

NeuroAI for AI Safety Direct Fit to Nature: An Evolutionary Perspective on Biological and Artificial Neural Networks

Reference 76

Resolution: unresolved; no resolver link, observed 2026-08-12T11:12:24.470303Z

Source-reported events for the cited work

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Observation 59cd7033-840d-4bd0-b1db-7e15f6d733fa · outbound

This paper cites Human-level concept learning through probabilistic program induction.

NeuroAI for AI Safety Human-level concept learning through probabilistic program induction

Reference 77

Resolution: unresolved; no resolver link, observed 2026-08-12T11:12:24.472681Z

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Observation 98bd265e-ab47-436d-bc60-7994fa590410 · outbound

This paper cites Can autonomous vehicles identify, recover from, and adapt to distribution shifts?.

NeuroAI for AI Safety Can autonomous vehicles identify, recover from, and adapt to distribution shifts?

Reference 78

Resolution: unresolved; no resolver link, observed 2026-08-12T11:12:24.475165Z

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Observation e5556a4b-0acc-413a-a4dc-b4a8723fef65 · outbound

This paper cites Getting aligned on representational alignment.

NeuroAI for AI Safety Getting aligned on representational alignment

Reference 79

Resolution: unresolved; no resolver link, observed 2026-08-12T11:12:24.477538Z

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Observation dea437a6-4467-4a9b-9385-b89d37c1a46c · outbound

This paper cites Towards Guaranteed Safe AI: A Framework for Ensuring Robust and Reliable AI Systems.

NeuroAI for AI Safety Towards Guaranteed Safe AI: A Framework for Ensuring Robust and Reliable AI Systems

Reference 80

Resolution: unresolved; no resolver link, observed 2026-08-12T11:12:24.479971Z

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Observation 1ecdb07a-7acc-4d08-ba39-127b457339ca · outbound

This paper cites The 3D-PC: a benchmark for visual perspective taking in humans and machines.

NeuroAI for AI Safety The 3D-PC: a benchmark for visual perspective taking in humans and machines

Reference 81

Resolution: unresolved; no resolver link, observed 2026-08-12T11:12:24.482966Z

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Observation 017a23a9-9d19-472c-af4c-22bb2e17ce03 · outbound

This paper cites Stimulus domain transfer in recurrent models for large scale cortical population prediction on video.

NeuroAI for AI Safety Stimulus domain transfer in recurrent models for large scale cortical population prediction on video

Reference 82

Resolution: unresolved; no resolver link, observed 2026-08-12T11:12:24.486511Z

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Observation 41e94c0b-9cce-45c1-a14e-bc70f01b3b73 · outbound

This paper cites State-dependent pupil dilation rapidly shifts visual feature selectivity.

NeuroAI for AI Safety State-dependent pupil dilation rapidly shifts visual feature selectivity

Reference 83

Resolution: unresolved; no resolver link, observed 2026-08-12T11:12:24.489351Z

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Observation a8c28fff-03b6-40e4-bd84-b70498454bc5 · outbound

This paper cites Pattern completion and disruption characterize contextual modulation in mouse visual cortex.

NeuroAI for AI Safety Pattern completion and disruption characterize contextual modulation in mouse visual cortex

Reference 84

Resolution: unresolved; no resolver link, observed 2026-08-12T11:12:24.492154Z

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Observation 13d90884-f1db-4ab8-a62d-def3774a3c5b · outbound

This paper cites Bipartite invariance in mouse primary visual cortex.

NeuroAI for AI Safety Bipartite invariance in mouse primary visual cortex

Reference 85

Resolution: unresolved; no resolver link, observed 2026-08-12T11:12:24.495003Z

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Observation c6656003-8f8a-4df9-a6bb-9707ad92f1a9 · outbound

This paper cites Complete functional characterization of sensory neurons by system identification.

NeuroAI for AI Safety Complete functional characterization of sensory neurons by system identification

Reference 86

Resolution: unresolved; no resolver link, observed 2026-08-12T11:12:24.497747Z

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Observation 3abdbad1-5c41-4451-945e-56fea83832f3 · outbound

This paper cites Generalization in data-driven models of primary visual cortex.

NeuroAI for AI Safety Generalization in data-driven models of primary visual cortex

Reference 87

Resolution: unresolved; no resolver link, observed 2026-08-12T11:12:24.500761Z

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Observation 173fd192-d599-4076-87d0-bd5cb96b3cb2 · outbound

This paper cites It takes neurons to understand neurons: Digital twins of visual cortex synthesize neural metamers.

NeuroAI for AI Safety It takes neurons to understand neurons: Digital twins of visual cortex synthesize neural metamers

Reference 88

Resolution: unresolved; no resolver link, observed 2026-08-12T11:12:24.503669Z

Source-reported events for the cited work

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Observation 76e415be-b075-4e6d-b401-50a635303e97 · outbound

This paper cites Towards a simplified model of primary visual cortex.

NeuroAI for AI Safety Towards a simplified model of primary visual cortex

Reference 89

Resolution: unresolved; no resolver link, observed 2026-08-12T11:12:24.506654Z

Source-reported events for the cited work

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Observation 6afff199-cb66-4991-b7c7-07f9fc202923 · outbound

This paper cites Bipartite invariance in mouse primary visual cortex.

NeuroAI for AI Safety Bipartite invariance in mouse primary visual cortex

Reference 90

Resolution: unresolved; no resolver link, observed 2026-08-12T11:12:24.509543Z

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Observation 1cd72eff-5446-4e9b-abe2-6e3b60892fb3 · outbound

This paper cites Deep convolutional models improve predictions of macaque V1 responses to natural images.

NeuroAI for AI Safety Deep convolutional models improve predictions of macaque V1 responses to natural images

Reference 91

Resolution: unresolved; no resolver link, observed 2026-08-12T11:12:24.512406Z

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Observation 1e53da4d-b158-403f-aa18-4b8bf97e55a5 · outbound

This paper cites Convolutional neural network models of neuronal responses in macaque V1 reveal limited non-linear processing.

NeuroAI for AI Safety Convolutional neural network models of neuronal responses in macaque V1 reveal limited non-linear processing

Reference 92

Resolution: unresolved; no resolver link, observed 2026-08-12T11:12:24.515303Z

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Observation 20a1288a-2330-4bd5-aa5e-1a083d275c55 · outbound

This paper cites Deep learning-driven characterization of single cell tuning in primate visual area V4 unveils topological organization.

NeuroAI for AI Safety Deep learning-driven characterization of single cell tuning in primate visual area V4 unveils topological organization

Reference 93

Resolution: unresolved; no resolver link, observed 2026-08-12T11:12:24.518030Z

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Observation fc9462de-a0f6-49d8-83ff-7fa82dfa940a · outbound

This paper cites Compact deep neural network models of visual cortex.

NeuroAI for AI Safety Compact deep neural network models of visual cortex

Reference 94

Resolution: unresolved; no resolver link, observed 2026-08-12T11:12:24.520855Z

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Observation 286bc0a3-d321-44da-b324-bf68cb89b97e · outbound

This paper cites Diverse task-driven modeling of macaque V4 reveals functional specialization towards semantic tasks.

NeuroAI for AI Safety Diverse task-driven modeling of macaque V4 reveals functional specialization towards semantic tasks

Reference 95

Resolution: unresolved; no resolver link, observed 2026-08-12T11:12:24.523665Z

Source-reported events for the cited work

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Observation e7785d06-5e7e-4e7e-b336-ffe297e517a2 · outbound

This paper cites Energy Guided Diffusion for Generating Neurally Exciting Images.

NeuroAI for AI Safety Energy Guided Diffusion for Generating Neurally Exciting Images

Reference 96

Resolution: unresolved; no resolver link, observed 2026-08-12T11:12:24.526561Z

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Observation 1e942426-a857-4d11-9b0b-8f6c9114ba23 · outbound

This paper cites Large-scale calcium imaging reveals a systematic V4 map for encoding natural scenes.

NeuroAI for AI Safety Large-scale calcium imaging reveals a systematic V4 map for encoding natural scenes

Reference 97

Resolution: unresolved; no resolver link, observed 2026-08-12T11:12:24.529466Z

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Observation 2eddb4d3-b2ba-4e17-a421-b4b6c545aaa2 · outbound

This paper cites How MT cells analyze the motion of visual patterns.

NeuroAI for AI Safety How MT cells analyze the motion of visual patterns

Reference 98

Resolution: unresolved; no resolver link, observed 2026-08-12T11:12:24.532223Z

Source-reported events for the cited work

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Observation 1ca5a31f-e751-4811-b24c-a526b9156076 · outbound

This paper cites A Three-Dimensional Spatiotemporal Receptive Field Model Explains Responses of Area MT Neurons to Naturalistic Movies.

NeuroAI for AI Safety A Three-Dimensional Spatiotemporal Receptive Field Model Explains Responses of Area MT Neurons to Naturalistic Movies

Reference 99

Resolution: unresolved; no resolver link, observed 2026-08-12T11:12:24.536231Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 03f1b57c-9e5c-4a9a-80b1-ff8df27deb7b · outbound

This paper cites Neural Representation of Natural Images in Visual Area V2.

NeuroAI for AI Safety Neural Representation of Natural Images in Visual Area V2

Reference 100

Resolution: unresolved; no resolver link, observed 2026-08-12T11:12:24.539643Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4f7c3666-5e61-4c77-b724-c45edee4873a · outbound

This paper cites Hierarchical processing of complex motion along the primate dorsal visual pathway.

NeuroAI for AI Safety Hierarchical processing of complex motion along the primate dorsal visual pathway

Reference 101

Resolution: unresolved; no resolver link, observed 2026-08-12T11:12:24.542789Z

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Pith citing papers

Observation 9c4620c4-3991-4a36-98ec-f3bddf25d851 · inbound

Position Paper: Bounded Alignment: What (Not) To Expect From AGI Agents cites this paper.

Position Paper: Bounded Alignment: What (Not) To Expect From AGI Agents NeuroAI for AI Safety

Reference 89

Resolution: unresolved; no resolver link, observed 2026-08-15T20:51:07.008394Z

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Observation 8d67fa07-7c7b-4870-910d-7c492520aa7b · inbound

An Affective-Taxis Hypothesis for Alignment and Interpretability cites this paper.

An Affective-Taxis Hypothesis for Alignment and Interpretability NeuroAI for AI Safety

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-16T04:16:33.154402Z

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Observation 3d6c40a3-63f3-428a-b2ff-b199a4def170 · inbound

BIRD: Behavior Induction via Representation-structure Distillation cites this paper.

BIRD: Behavior Induction via Representation-structure Distillation NeuroAI for AI Safety

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-07T12:45:21.293202Z

Source-reported events for the cited work

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Observation 4013661d-c80d-48ab-9618-d561d29ce5a8 · inbound

On the possibility of deep alignment cites this paper.

On the possibility of deep alignment NeuroAI for AI Safety

Reference 452

Resolution: malformed identifier; no resolver link, observed 2026-08-05T15:09:54.371382Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 32ddd6ed-0319-441d-b885-1e91f137a535 · inbound

BioBlue: Systematic runaway-optimiser-like LLM failure modes on biologically and economically aligned AI safety benchmarks for LLMs with simplified observation format cites this paper.

BioBlue: Systematic runaway-optimiser-like LLM failure modes on biologically and economically aligned AI safety benchmarks for LLMs with simplified observation format NeuroAI for AI Safety

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-05T11:39:11.693846Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 10cf3dc5-5a8d-451a-acd3-eb3ef9c57832 · inbound

How Much is Brain Data Worth for Machine Learning? cites this paper.

How Much is Brain Data Worth for Machine Learning? NeuroAI for AI Safety

Reference 34

Resolution: verified exact; arxiv_id, observed 2026-05-12T06:41:45.777681Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.