BIRD: Behavior Induction via Representation-structure Distillation | Paper Citation Record

Observation 18edf684-507e-4e8e-806e-4b050dc1ffaf · outbound

This paper cites Building safe artificial intelligence: specification, robustness, and assurance, 2018.

BIRD: Behavior Induction via Representation-structure Distillation Building safe artificial intelligence: specification, robustness, and assurance, 2018

Reference 1

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Observation a959ad30-9288-4a27-b0eb-f048203ecc84 · outbound

This paper cites AI Alignment: A Comprehensive Survey.

BIRD: Behavior Induction via Representation-structure Distillation AI Alignment: A Comprehensive Survey

Reference 2

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Observation 8e03f6d7-cc57-4b03-a93d-9e19b6f254ac · outbound

This paper cites Towards Deep Learning Models Resistant to Adversarial Attacks.

BIRD: Behavior Induction via Representation-structure Distillation Towards Deep Learning Models Resistant to Adversarial Attacks

Reference 3

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This paper cites Training language models to follow instructions with human feedback.Advances in neural information processing systems, 35:27730–27744, 2022.

BIRD: Behavior Induction via Representation-structure Distillation Training language models to follow instructions with human feedback.Advances in neural information processing systems, 35:27730–27744, 2022

Reference 4

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This paper cites Direct preference optimization: Your language model is secretly a reward model.Advances in Neural Information Processing Systems, 36:53728–53741, 2023.

BIRD: Behavior Induction via Representation-structure Distillation Direct preference optimization: Your language model is secretly a reward model.Advances in Neural Information Processing Systems, 36:53728–53741, 2023

Reference 5

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Observation 978e0c25-c130-43f5-bd51-189558b54d1d · outbound

This paper cites Adversarially robust transfer learning.

BIRD: Behavior Induction via Representation-structure Distillation Adversarially robust transfer learning

Reference 6

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Observation 740caea4-b6e2-4ce7-88f5-23f91cd2f966 · outbound

This paper cites Fine-tuning Aligned Language Models Compromises Safety, Even When Users Do Not Intend To!.

BIRD: Behavior Induction via Representation-structure Distillation Fine-tuning Aligned Language Models Compromises Safety, Even When Users Do Not Intend To!

Reference 7

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Observation 5d81f10b-c47f-4555-b80f-1dcdd7ee585d · outbound

This paper cites Navigating the safety landscape: Measuring risks in finetuning large language models.Advances in Neural Information Processing Systems, 37:95692– 95715, 2024.

BIRD: Behavior Induction via Representation-structure Distillation Navigating the safety landscape: Measuring risks in finetuning large language models.Advances in Neural Information Processing Systems, 37:95692– 95715, 2024

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:45:27.813472Z

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Observation 98ae2d19-a9c1-4632-906e-2a27f9b6bee6 · outbound

This paper cites Weak-to-Strong Generalization: Eliciting Strong Capabilities With Weak Supervision.

BIRD: Behavior Induction via Representation-structure Distillation Weak-to-Strong Generalization: Eliciting Strong Capabilities With Weak Supervision

Reference 9

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Observation a8f047ed-363d-4e52-886e-c27ba2b8811d · outbound

This paper cites Weak to strong generalization for large language models with multi-capabilities.

BIRD: Behavior Induction via Representation-structure Distillation Weak to strong generalization for large language models with multi-capabilities

Reference 10

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Observation d612b596-d958-4414-8ca4-13c2cd55bb52 · outbound

This paper cites On transfer of adversarial robustness from pretraining to downstream tasks.Advances in neural information processing systems, 36:59206– 59226, 2023.

BIRD: Behavior Induction via Representation-structure Distillation On transfer of adversarial robustness from pretraining to downstream tasks.Advances in neural information processing systems, 36:59206– 59226, 2023

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:45:27.628597Z

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Observation 60273b5c-c9e0-4a72-9715-5785906955f6 · outbound

This paper cites When does contrastive learning preserve adversarial robustness from pretraining to finetuning?Advances in neural information processing systems, 34:21480–21492, 2021.

BIRD: Behavior Induction via Representation-structure Distillation When does contrastive learning preserve adversarial robustness from pretraining to finetuning?Advances in neural information processing systems, 34:21480–21492, 2021

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:45:27.483299Z

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Observation 624563bd-36ca-449c-900c-d683dfcc5e06 · outbound

This paper cites Neural population geometry: An approach for understanding biological and artificial neural networks.Current opinion in neurobiology, 70:137–144, 2021.

BIRD: Behavior Induction via Representation-structure Distillation Neural population geometry: An approach for understanding biological and artificial neural networks.Current opinion in neurobiology, 70:137–144, 2021

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:45:27.381524Z

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Observation 966b3927-5e68-41af-bcfc-ed9fb7b5c404 · outbound

This paper cites Catalyzing next-generation artificial intelligence through neuroai.Nature communications, 14(1):1597, 2023.

BIRD: Behavior Induction via Representation-structure Distillation Catalyzing next-generation artificial intelligence through neuroai.Nature communications, 14(1):1597, 2023

Reference 14

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

This paper cites NeuroAI for AI Safety.

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

Reference 15

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BIRD: Behavior Induction via Representation-structure Distillation Unresolved cited work

Reference 16

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Observation 66f5b308-1578-4810-8178-cf0659017f49 · outbound

This paper cites Towards robust vision by multi-task learning on monkey visual cortex.Advances in Neural Information Processing Systems, 34:739–751, 2021.

BIRD: Behavior Induction via Representation-structure Distillation Towards robust vision by multi-task learning on monkey visual cortex.Advances in Neural Information Processing Systems, 34:739–751, 2021

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:45:27.162794Z

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Observation a708170b-d34e-4122-b430-9dbd546cde3e · outbound

This paper cites Learning from brains how to regularize machines.

BIRD: Behavior Induction via Representation-structure Distillation Learning from brains how to regularize machines

Reference 18

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Observation ec97fb59-ff5a-45bf-b78c-b946a352786c · outbound

This paper cites Representation Engineering: A Top-Down Approach to AI Transparency.

BIRD: Behavior Induction via Representation-structure Distillation Representation Engineering: A Top-Down Approach to AI Transparency

Reference 19

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Observation c70e015d-5374-4350-b2da-8731ad7e5b1c · outbound

This paper cites Concrete Problems in AI Safety.

BIRD: Behavior Induction via Representation-structure Distillation Concrete Problems in AI Safety

Reference 20

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Observation ea377a65-fa1e-4a6d-8e7d-194c78625ac0 · outbound

This paper cites Goal mis- generalization in deep reinforcement learning.

BIRD: Behavior Induction via Representation-structure Distillation Goal mis- generalization in deep reinforcement learning

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:45:26.976313Z

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Observation ca1cbd79-ce00-485c-a42d-ae54c34d8b4a · outbound

This paper cites Unintentional Unalignment: Likelihood Displacement in Direct Preference Optimization.

BIRD: Behavior Induction via Representation-structure Distillation Unintentional Unalignment: Likelihood Displacement in Direct Preference Optimization

Reference 22

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Observation b1dfd5b9-4571-4fd1-b06a-3f28083b1220 · outbound

This paper cites The many faces of robustness: A critical analysis of out-of-distribution generalization.

BIRD: Behavior Induction via Representation-structure Distillation The many faces of robustness: A critical analysis of out-of-distribution generalization

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-07T12:45:21.847785Z

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Observation 8d112cc8-5811-4279-aba8-2e29fe42d0d8 · outbound

This paper cites Weak-to-Strong Preference Optimization: Stealing Reward from Weak Aligned Model.

BIRD: Behavior Induction via Representation-structure Distillation Weak-to-Strong Preference Optimization: Stealing Reward from Weak Aligned Model

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-07T12:45:21.939278Z

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Observation 1fa8c276-5433-4d03-aa69-7c78d83ccab2 · outbound

This paper cites Cartl: Cooperative adversarially-robust transfer learning.

BIRD: Behavior Induction via Representation-structure Distillation Cartl: Cooperative adversarially-robust transfer learning

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:45:26.875786Z

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Observation 9c6cc5b1-1d1f-4a9e-bd94-f517b0917874 · outbound

This paper cites Twins: A fine-tuning framework for improved transferability of adversarial robustness and generalization.

BIRD: Behavior Induction via Representation-structure Distillation Twins: A fine-tuning framework for improved transferability of adversarial robustness and generalization

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:45:26.793975Z

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Observation 23d90110-e897-4870-87e5-f7e6704987cb · outbound

This paper cites Enhancing adversarial contrastive learning via adversarial invariant regularization.Advances in Neural Information Processing Systems, 36:16783–16803, 2023.

BIRD: Behavior Induction via Representation-structure Distillation Enhancing adversarial contrastive learning via adversarial invariant regularization.Advances in Neural Information Processing Systems, 36:16783–16803, 2023

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:45:26.690297Z

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Observation 8119cecd-c08f-43cf-92b4-db696b4a5f06 · outbound

This paper cites Adversarially robust generalization requires more data.Advances in neural information processing systems, 31, 2018.

BIRD: Behavior Induction via Representation-structure Distillation Adversarially robust generalization requires more data.Advances in neural information processing systems, 31, 2018

Reference 28

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Observation 1e4ed5a6-2481-4292-9db8-7595b9da6429 · outbound

This paper cites Overcoming catastrophic forgetting in neural networks.Proceedings of the national academy of sciences, 114(13):3521–3526, 2017.

BIRD: Behavior Induction via Representation-structure Distillation Overcoming catastrophic forgetting in neural networks.Proceedings of the national academy of sciences, 114(13):3521–3526, 2017

Reference 29

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Observation a8c906f3-f8f1-45cc-856a-07ddb76ef4a0 · outbound

This paper cites Learning without forgetting.IEEE transactions on pattern analysis and machine intelligence, 40(12):2935–2947, 2017.

BIRD: Behavior Induction via Representation-structure Distillation Learning without forgetting.IEEE transactions on pattern analysis and machine intelligence, 40(12):2935–2947, 2017

Reference 30

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Observation a0edb1da-e406-4d9f-aeab-abe624443bf8 · outbound

This paper cites Model compression.

BIRD: Behavior Induction via Representation-structure Distillation Model compression

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:45:26.558778Z

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Observation 1ee7b38c-cae3-4e3a-9557-54bfe6888bee · outbound

This paper cites Distilling the Knowledge in a Neural Network.

BIRD: Behavior Induction via Representation-structure Distillation Distilling the Knowledge in a Neural Network

Reference 32

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Observation 96ebfe8a-c792-47af-8ef1-d48d53f1a038 · outbound

This paper cites FitNets: Hints for Thin Deep Nets.

BIRD: Behavior Induction via Representation-structure Distillation FitNets: Hints for Thin Deep Nets

Reference 33

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Observation 25f3f62f-4315-4e3f-8dd9-f43199ad7480 · outbound

This paper cites Paying More Attention to Attention: Improving the Performance of Convolutional Neural Networks via Attention Transfer.

BIRD: Behavior Induction via Representation-structure Distillation Paying More Attention to Attention: Improving the Performance of Convolutional Neural Networks via Attention Transfer

Reference 34

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Observation 6662bd58-b1b8-4dae-9eb9-8963c9527031 · outbound

This paper cites Cross modal distillation for supervision transfer.

BIRD: Behavior Induction via Representation-structure Distillation Cross modal distillation for supervision transfer

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:45:26.446303Z

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Observation 39851d30-f6c2-4223-bdbf-572838cf93bf · outbound

This paper cites Learning deep representations by mutual information estimation and maximization.

BIRD: Behavior Induction via Representation-structure Distillation Learning deep representations by mutual information estimation and maximization

Reference 36

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Observation 44a44160-8c68-472e-b887-4b695b087a44 · outbound

This paper cites Contrastive Representation Distillation.

BIRD: Behavior Induction via Representation-structure Distillation Contrastive Representation Distillation

Reference 37

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Observation 08ef920a-9989-4c2c-9a44-b58297166112 · outbound

This paper cites Aligning Machine and Human Visual Representations across Abstraction Levels.

BIRD: Behavior Induction via Representation-structure Distillation Aligning Machine and Human Visual Representations across Abstraction Levels

Reference 38

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Observation 2853fa05-7b52-4726-8842-05432f3455fd · outbound

This paper cites Similarity of neural network representations revisited.

BIRD: Behavior Induction via Representation-structure Distillation Similarity of neural network representations revisited

Reference 39

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Observation c0022be9-57da-4d39-ad71-3f15d0e5040a · outbound

This paper cites Improved object recognition using neural networks trained to mimic the brain’s statistical properties.Neural Networks, 131:103–114, 2020.

BIRD: Behavior Induction via Representation-structure Distillation Improved object recognition using neural networks trained to mimic the brain’s statistical properties.Neural Networks, 131:103–114, 2020

Reference 40

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Observation e20a6d1c-1f2d-43e6-9118-0ae12bd15a6b · outbound

This paper cites Learning multiple layers of features from tiny images.

BIRD: Behavior Induction via Representation-structure Distillation Learning multiple layers of features from tiny images

Reference 41

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Observation ea0ba0a1-61ba-4f8f-b6b3-b61897db328d · outbound

This paper cites Imagenet: A large-scale hierarchical image database.

BIRD: Behavior Induction via Representation-structure Distillation Imagenet: A large-scale hierarchical image database

Reference 42

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Observation 5bbef74b-07da-4520-aa84-5ed859d4f8e9 · outbound

This paper cites Benchmarking Neural Network Robustness to Common Corruptions and Perturbations.

BIRD: Behavior Induction via Representation-structure Distillation Benchmarking Neural Network Robustness to Common Corruptions and Perturbations

Reference 43

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Observation 168048b7-a0ea-4c05-a9af-52c9adb38860 · outbound

This paper cites Mobilenetv2: Inverted residuals and linear bottlenecks.

BIRD: Behavior Induction via Representation-structure Distillation Mobilenetv2: Inverted residuals and linear bottlenecks

Reference 44

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Observation fc391679-0535-4ebf-9bca-90aa68624a26 · outbound

This paper cites Deep residual learning for image recognition.

BIRD: Behavior Induction via Representation-structure Distillation Deep residual learning for image recognition

Reference 45

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This paper cites Densely connected convolutional networks.

BIRD: Behavior Induction via Representation-structure Distillation Densely connected convolutional networks

Reference 46

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Observation 6ffcf445-5eaa-4be4-9946-19b2e5c7a72c · outbound

This paper cites Fine-Tuning can Distort Pretrained Features and Underperform Out-of-Distribution.

BIRD: Behavior Induction via Representation-structure Distillation Fine-Tuning can Distort Pretrained Features and Underperform Out-of-Distribution

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-07T12:45:23.313490Z

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Observation 73e97f35-0392-4203-b87b-734e0511f83e · outbound

This paper cites Imagenet classification with deep convolutional neural networks.

BIRD: Behavior Induction via Representation-structure Distillation Imagenet classification with deep convolutional neural networks

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-07T12:45:23.411236Z

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Observation 8e4bb419-2c6b-4ebb-87fe-22d65f9aa43a · outbound

This paper cites Understanding intermediate layers using linear classifier probes.

BIRD: Behavior Induction via Representation-structure Distillation Understanding intermediate layers using linear classifier probes

Reference 49

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Observation 85d8257f-73be-484e-8a04-8c5c25eff178 · outbound

This paper cites Fantastic Gains and Where to Find Them: On the Existence and Prospect of General Knowledge Transfer between Any Pretrained Model.

BIRD: Behavior Induction via Representation-structure Distillation Fantastic Gains and Where to Find Them: On the Existence and Prospect of General Knowledge Transfer between Any Pretrained Model

Reference 50

Resolution: verified exact; local_arxiv, observed 2026-08-07T12:45:24.587487Z

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Observation 3c3b052f-8c24-43fe-ae3f-e9503e3855cd · outbound

This paper cites Adversarial examples are not bugs, they are features.Advances in neural information processing systems, 32, 2019.

BIRD: Behavior Induction via Representation-structure Distillation Adversarial examples are not bugs, they are features.Advances in neural information processing systems, 32, 2019

Reference 51

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Observation 4ca6bd0e-af12-4e06-b4e7-d5356ebe9d84 · outbound

This paper cites HuggingFace's Transformers: State-of-the-art Natural Language Processing.

BIRD: Behavior Induction via Representation-structure Distillation HuggingFace's Transformers: State-of-the-art Natural Language Processing

Reference 52

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BIRD: Behavior Induction via Representation-structure Distillation Unresolved cited work

Reference 53

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Observation cd06dcbe-66ad-4a7a-a942-f564d02f55b5 · outbound

This paper cites Boolq: Exploring the surprising difficulty of natural yes/no questions.

BIRD: Behavior Induction via Representation-structure Distillation Boolq: Exploring the surprising difficulty of natural yes/no questions

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:45:26.228433Z

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Observation c2de80e6-481e-45d2-9214-13c862a346f9 · outbound

This paper cites Cosmos QA: Machine reading comprehension with contextual commonsense reasoning.

BIRD: Behavior Induction via Representation-structure Distillation Cosmos QA: Machine reading comprehension with contextual commonsense reasoning

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:45:25.994940Z

Source-reported events for the cited work

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Observation ba176370-f3e2-4afb-a051-abbb39fece26 · outbound

This paper cites gaussian noise.

BIRD: Behavior Induction via Representation-structure Distillation gaussian noise

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:45:25.746774Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation b76add17-d659-4fbd-a6bb-34f74aa8aad9 · outbound

This paper cites We then evaluate the feature’s correlation with this binary labeling across target dataset images distorted with corruptions from the ImageNet-C benchmark.

BIRD: Behavior Induction via Representation-structure Distillation We then evaluate the feature’s correlation with this binary labeling across target dataset images distorted with corruptions from the ImageNet-C benchmark

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:45:25.543784Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 31ee302d-1df6-4135-9007-08441006d498 · outbound

This paper cites This choice reflects the intuition that a useful feature may be strongly predictive of a subset of classes.

BIRD: Behavior Induction via Representation-structure Distillation This choice reflects the intuition that a useful feature may be strongly predictive of a subset of classes

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:45:25.334070Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 4757b11f-385d-4cc9-adc8-9450c5ce99d8 · outbound

This paper cites speckle-noise.

BIRD: Behavior Induction via Representation-structure Distillation speckle-noise

Reference 59

Resolution: malformed identifier; raw_fallback, observed 2026-08-07T12:45:25.046125Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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