A First-Principles Theory of Slow Thinking and Active Perception | Paper Citation Record

Observation 2ee71adc-d6b6-4f6d-84cb-8309ad1cc38d · outbound

This paper cites What is science for? the Lighthill report on artificial intelligence reinterpreted.The British Journal for the History of Science, 53(3):289–310, 2020.

A First-Principles Theory of Slow Thinking and Active Perception What is science for? the Lighthill report on artificial intelligence reinterpreted.The British Journal for the History of Science, 53(3):289–310, 2020

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-07-10T11:37:03.949028Z

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Observation 711f14c0-6461-4806-befa-0c952194d3a0 · outbound

This paper cites Flamingo: a visual language model for few-shot learning.Advances in neural information processing systems, 35:23716–23736.

A First-Principles Theory of Slow Thinking and Active Perception Flamingo: a visual language model for few-shot learning.Advances in neural information processing systems, 35:23716–23736

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-07-10T11:37:03.945149Z

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Observation 506dc717-9f73-45e8-9f8c-9aa54761fa32 · outbound

This paper cites Building Normalizing Flows with Stochastic Interpolants.

A First-Principles Theory of Slow Thinking and Active Perception Building Normalizing Flows with Stochastic Interpolants

Reference 3

Resolution: verified exact; local_arxiv, observed 2026-07-10T11:37:03.415948Z

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Observation b85c473a-e24f-4d86-b934-8fa9fcf22c63 · outbound

This paper cites ¨Uber stetige abbildungen kompakter r¨ aume.Mathematische Annalen, 96(1):555–571, 1927.

A First-Principles Theory of Slow Thinking and Active Perception ¨Uber stetige abbildungen kompakter r¨ aume.Mathematische Annalen, 96(1):555–571, 1927

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-07-10T11:37:03.941104Z

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Observation fe987d8c-36f3-4945-876b-01c0d10d7b7f · outbound

This paper cites Amplifying lower bounds by means of self-reducibility.Journal of the ACM (JACM), 57(3):1–36, 2010.

A First-Principles Theory of Slow Thinking and Active Perception Amplifying lower bounds by means of self-reducibility.Journal of the ACM (JACM), 57(3):1–36, 2010

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-07-10T11:37:03.937609Z

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Observation 6fee41ff-6316-4819-93ec-73c6054fd67e · outbound

This paper cites MIT press, 2020.

A First-Principles Theory of Slow Thinking and Active Perception MIT press, 2020

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-07-10T11:37:03.935843Z

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Observation d8bcb93d-84ba-412d-a573-efc03fc6e02c · outbound

This paper cites Theory of reproducing kernels.Transactions of the American mathematical society, 68(3):337–404.

A First-Principles Theory of Slow Thinking and Active Perception Theory of reproducing kernels.Transactions of the American mathematical society, 68(3):337–404

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-07-10T11:37:03.932200Z

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Observation 9a2afd8c-f43a-42f9-bb5f-413d9e0bf4f5 · outbound

This paper cites Cambridge University Press, 2009.

A First-Principles Theory of Slow Thinking and Active Perception Cambridge University Press, 2009

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-07-10T11:37:03.928020Z

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Observation 5bff9218-ebe3-46a8-bd1c-eba3732a08a6 · outbound

This paper cites Breaking the curse of dimensionality with convex neural networks.Journal of Machine Learning Research, 18(19):1–53, 2017.

A First-Principles Theory of Slow Thinking and Active Perception Breaking the curse of dimensionality with convex neural networks.Journal of Machine Learning Research, 18(19):1–53, 2017

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-07-10T11:37:03.925929Z

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Observation 3db43d1e-1574-4c4c-b9db-f1010a4f191e · outbound

This paper cites Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond.

A First-Principles Theory of Slow Thinking and Active Perception Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond

Reference 10

Resolution: verified exact; local_arxiv, observed 2026-07-10T11:37:03.217139Z

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Observation 40baa639-e36d-4ec5-8bac-959f95aad878 · outbound

This paper cites Transformers need glasses! information over-squashing in language tasks.Advances in Neural Information Processing Systems, 37:98111– 98142, 2024.

A First-Principles Theory of Slow Thinking and Active Perception Transformers need glasses! information over-squashing in language tasks.Advances in Neural Information Processing Systems, 37:98111– 98142, 2024

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-07-10T11:37:03.913807Z

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Observation 04ae1932-b977-4bb7-a004-e4880005e640 · outbound

This paper cites Bounded-width polynomial-size branching programs recognize exactly those languages inN C 1.

A First-Principles Theory of Slow Thinking and Active Perception Bounded-width polynomial-size branching programs recognize exactly those languages inN C 1

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-07-10T11:37:03.910329Z

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Observation 9f77422b-9b08-4b72-9a33-0536fea0e8bc · outbound

This paper cites Lecture 6: Arithmetic and threshold circuits.

A First-Principles Theory of Slow Thinking and Active Perception Lecture 6: Arithmetic and threshold circuits

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-07-10T11:37:03.901063Z

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Observation 887321e1-5228-422b-87b0-82afed9975b1 · outbound

This paper cites xLSTM: Ex- tended long short-term memory.Advances in Neural Information Processing Systems, 37:107547– 107603, 2024.

A First-Principles Theory of Slow Thinking and Active Perception xLSTM: Ex- tended long short-term memory.Advances in Neural Information Processing Systems, 37:107547– 107603, 2024

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-07-10T11:37:03.896513Z

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Observation 55528784-b950-4b9f-ba50-28a935a6780e · outbound

This paper cites Springer Science & Business Media, 2011.

A First-Principles Theory of Slow Thinking and Active Perception Springer Science & Business Media, 2011

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-07-10T11:37:03.887569Z

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Observation 0db7ad4e-abf7-4989-bd45-385a98dbf1fa · outbound

This paper cites Latent dirichlet allocation.Journal of machine Learning research, 3(Jan):993–1022.

A First-Principles Theory of Slow Thinking and Active Perception Latent dirichlet allocation.Journal of machine Learning research, 3(Jan):993–1022

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-07-10T11:37:03.883503Z

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Observation 214a9db0-3550-488f-bb80-68eb8f40687e · outbound

This paper cites Polar factorization and monotone rearrangement of vector-valued functions.Com- munications on Pure and Applied Mathematics, 44(4):375–417, 1991.

A First-Principles Theory of Slow Thinking and Active Perception Polar factorization and monotone rearrangement of vector-valued functions.Com- munications on Pure and Applied Mathematics, 44(4):375–417, 1991

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-07-10T11:37:03.881429Z

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Observation 3e1c7faf-0050-44c6-b9db-aebc196c4ccc · outbound

This paper cites Brown, Stephen A.

A First-Principles Theory of Slow Thinking and Active Perception Brown, Stephen A

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-07-10T11:37:03.874666Z

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Observation 5571fe7e-22ef-4f45-8cbe-7e7d3f103faf · outbound

This paper cites Online, August 2025.https://ma-lab-berkeley.github.io/ deep-representation-learning-book/.

A First-Principles Theory of Slow Thinking and Active Perception Online, August 2025.https://ma-lab-berkeley.github.io/ deep-representation-learning-book/

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-07-10T11:37:03.869262Z

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Observation cd993be5-5023-4d5f-adf5-4173b21ca639 · outbound

This paper cites On the distinction between Peirce’s abduction and Lipton’s inference to the best explanation.Synthese, 180(3):419–442, 2011.

A First-Principles Theory of Slow Thinking and Active Perception On the distinction between Peirce’s abduction and Lipton’s inference to the best explanation.Synthese, 180(3):419–442, 2011

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-07-10T11:37:03.860430Z

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Observation 3e784cf0-fb8a-4bf0-8b9c-fea2d7c4303e · outbound

This paper cites Emerging properties in self-supervised vision transformers.

A First-Principles Theory of Slow Thinking and Active Perception Emerging properties in self-supervised vision transformers

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-07-10T11:37:03.853677Z

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Observation 91cfcc6a-314a-4c1c-8a0e-83d426da813d · outbound

This paper cites an unresolved cited work.

A First-Principles Theory of Slow Thinking and Active Perception Unresolved cited work

Reference 22

Resolution: unresolved; raw_fallback, observed 2026-07-10T11:37:03.847532Z

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Observation 09858582-9e17-4086-8396-60d6cb9e8fff · outbound

This paper cites Constant depth reducibility.SIAM Journal on Computing, 13(2):423–439, 1984.

A First-Principles Theory of Slow Thinking and Active Perception Constant depth reducibility.SIAM Journal on Computing, 13(2):423–439, 1984

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-07-10T11:37:03.838882Z

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Observation 0389fab1-6480-4c00-a0e1-02ef55c0c96d · outbound

This paper cites Circuit complexity bounds for RoPE-based transformer architecture.

A First-Principles Theory of Slow Thinking and Active Perception Circuit complexity bounds for RoPE-based transformer architecture

Reference 24

Resolution: verified exact; doi, observed 2026-07-10T11:37:03.090060Z

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Observation dcc2a2b1-e950-44da-aeda-5b7e88bc1d08 · outbound

This paper cites In- foGAN: Interpretable representation learning by information maximizing generative adversarial nets.Advances in neural information processing systems, 29, 2016.

A First-Principles Theory of Slow Thinking and Active Perception In- foGAN: Interpretable representation learning by information maximizing generative adversarial nets.Advances in neural information processing systems, 29, 2016

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-07-10T11:37:03.836867Z

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Observation e5b701c2-e9ef-4ff5-905c-04a5a27172e1 · outbound

This paper cites Reasoning beyond language: A comprehensive survey on latent chain-of-thought reasoning.arXiv preprint arXiv:2505.16782, 2025a.

A First-Principles Theory of Slow Thinking and Active Perception Reasoning beyond language: A comprehensive survey on latent chain-of-thought reasoning.arXiv preprint arXiv:2505.16782, 2025a

Reference 26

Resolution: verified exact; arxiv_id, observed 2026-07-10T11:37:03.343627Z

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Observation 3b3d824b-072e-4093-bcfc-d3eace0ddefc · outbound

This paper cites Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs.

A First-Principles Theory of Slow Thinking and Active Perception Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs

Reference 27

Resolution: verified exact; local_arxiv, observed 2026-07-10T11:37:03.273952Z

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Observation 62336736-b7ed-45e8-89e4-926cf386dd20 · outbound

This paper cites Reasoning with Exploration: An Entropy Perspective.

A First-Principles Theory of Slow Thinking and Active Perception Reasoning with Exploration: An Entropy Perspective

Reference 28

Resolution: verified exact; local_arxiv, observed 2026-07-10T11:37:03.256476Z

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Observation c4665410-3359-476c-abf1-e2fb0ec6ee59 · outbound

This paper cites Glyph: Scaling context windows via visual-text compres- sion.

A First-Principles Theory of Slow Thinking and Active Perception Glyph: Scaling context windows via visual-text compres- sion

Reference 29

Resolution: verified exact; arxiv_id, observed 2026-07-10T11:37:03.265005Z

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Observation ab357f97-447d-4251-967e-434404310dab · outbound

This paper cites Transformers in Uniform TC$^0$.

A First-Principles Theory of Slow Thinking and Active Perception Transformers in Uniform TC$^0$

Reference 30

Resolution: verified exact; local_arxiv, observed 2026-07-10T11:37:03.247111Z

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Observation 033c81b4-03ef-4470-9adc-451c1b6c58fe · outbound

This paper cites Resynthesizing behavior through phylogenetic refinement.Attention, perception, & psychophysics, 81(7):2265–2287, 2019.

A First-Principles Theory of Slow Thinking and Active Perception Resynthesizing behavior through phylogenetic refinement.Attention, perception, & psychophysics, 81(7):2265–2287, 2019

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-07-10T11:37:03.833989Z

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Observation 0a929dcd-e4f1-4feb-b1aa-414e95ec646f · outbound

This paper cites Evolution of behavioural control from chordates to primates.Philosophical Trans- actions of the Royal Society B: Biological Sciences, 377(1844), 2022.

A First-Principles Theory of Slow Thinking and Active Perception Evolution of behavioural control from chordates to primates.Philosophical Trans- actions of the Royal Society B: Biological Sciences, 377(1844), 2022

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-07-10T11:37:03.832288Z

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Observation 9ae6a1ed-d385-471e-a09b-af984c1768d0 · outbound

This paper cites Head-driven statistical models for natural language parsing.Computational linguistics, 29(4):589–637, 2003.

A First-Principles Theory of Slow Thinking and Active Perception Head-driven statistical models for natural language parsing.Computational linguistics, 29(4):589–637, 2003

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-07-10T11:37:03.828863Z

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Observation 8809b850-1c1e-4a24-acbf-6dfc9ad97e55 · outbound

This paper cites Basic Books, Inc., 1993.

A First-Principles Theory of Slow Thinking and Active Perception Basic Books, Inc., 1993

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-07-10T11:37:03.826914Z

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Observation 51aab8dc-753a-4674-b1e8-9d53613144e4 · outbound

This paper cites The Entropy Mechanism of Reinforcement Learning for Reasoning Language Models.

A First-Principles Theory of Slow Thinking and Active Perception The Entropy Mechanism of Reinforcement Learning for Reasoning Language Models

Reference 35

Resolution: verified exact; local_arxiv, observed 2026-07-10T11:37:03.243977Z

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Observation f393300b-5d96-4f91-8eaf-0cce71e18e96 · outbound

This paper cites Depth separation for neural networks.

A First-Principles Theory of Slow Thinking and Active Perception Depth separation for neural networks

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-07-10T11:37:03.825145Z

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Observation 176b5d34-abfa-4abf-a30c-a57b38bf8f86 · outbound

This paper cites On inferring explanations and inference to the best explanation.Episteme, 21(4):1120–1137, 2024.

A First-Principles Theory of Slow Thinking and Active Perception On inferring explanations and inference to the best explanation.Episteme, 21(4):1120–1137, 2024

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-07-10T11:37:03.823138Z

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Observation f460f4b7-2b19-4eb9-bf13-05f74b36851f · outbound

This paper cites DeepSeek API Docs.

A First-Principles Theory of Slow Thinking and Active Perception DeepSeek API Docs

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-07-10T11:37:03.821194Z

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Observation 78009a2e-2054-49b2-8524-6f1bde05e27b · outbound

This paper cites BERT : Pre-training of Deep Bidirectional Transformers for Language Understanding.

A First-Principles Theory of Slow Thinking and Active Perception BERT : Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 39

Resolution: verified exact; doi, observed 2026-07-10T11:37:03.097793Z

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Observation 1ca878c9-7dcd-4907-bd9a-5901b0fe0183 · outbound

This paper cites Diffusion is spectral autoregression, 2024.

A First-Principles Theory of Slow Thinking and Active Perception Diffusion is spectral autoregression, 2024

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-07-10T11:37:03.817498Z

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Observation cbb653de-ec3e-478e-88f5-2ad9222c27a9 · outbound

This paper cites Harder, better, faster, stronger convergence rates for least-squares regression.Journal of Machine Learning Research, 18(101):1– 51.

A First-Principles Theory of Slow Thinking and Active Perception Harder, better, faster, stronger convergence rates for least-squares regression.Journal of Machine Learning Research, 18(101):1– 51

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-07-10T11:37:03.815891Z

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Observation 18c2d2d1-af5b-4c7e-a9f9-3906fcb89e23 · outbound

This paper cites Dynamic parallel tree search for efficient LLM rea- soning.

A First-Principles Theory of Slow Thinking and Active Perception Dynamic parallel tree search for efficient LLM rea- soning

Reference 42

Resolution: verified exact; doi, observed 2026-07-10T11:37:03.074011Z

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Observation 1294e877-b12f-4197-b0b9-8962a7ae6f53 · outbound

This paper cites Compositionality in computational linguistics.Annual Review of Linguistics, 9(1):463–481, 2023.

A First-Principles Theory of Slow Thinking and Active Perception Compositionality in computational linguistics.Annual Review of Linguistics, 9(1):463–481, 2023

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-07-10T11:37:03.814024Z

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Observation 04dd8786-eb2b-4e3f-b05e-46092612990a · outbound

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

A First-Principles Theory of Slow Thinking and Active Perception An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 44

Resolution: verified exact; local_arxiv, observed 2026-07-10T11:37:03.300043Z

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 185aef40-9d47-40cb-b8e7-313f152855b1 · outbound

This paper cites Artists have su- perior local and global processing abilities but show a preference for initially drawing globally.

A First-Principles Theory of Slow Thinking and Active Perception Artists have su- perior local and global processing abilities but show a preference for initially drawing globally

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-07-10T11:37:03.812238Z

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Observation f4204064-dfe7-42e7-a5b6-305d5b0e68d5 · outbound

This paper cites Kimi k1.5: Scaling Reinforcement Learning with LLMs.

A First-Principles Theory of Slow Thinking and Active Perception Kimi k1.5: Scaling Reinforcement Learning with LLMs

Reference 46

Resolution: verified exact; local_arxiv, observed 2026-07-10T11:37:03.309785Z

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Observation 7602abb7-cb0d-47d4-8c8f-2894797647bd · outbound

This paper cites Faith and fate: Limits of transformers on compositionality.Advances in Neural Information Processing Systems, 36:70293– 70332, 2023.

A First-Principles Theory of Slow Thinking and Active Perception Faith and fate: Limits of transformers on compositionality.Advances in Neural Information Processing Systems, 36:70293– 70332, 2023

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-07-10T11:37:03.810409Z

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Observation f4b1d77d-f8eb-4a40-822a-8926431cd190 · outbound

This paper cites A Priori Estimates of the Population Risk for Residual Networks.

A First-Principles Theory of Slow Thinking and Active Perception A Priori Estimates of the Population Risk for Residual Networks

Reference 48

Resolution: verified exact; local_arxiv, observed 2026-07-10T11:37:03.249556Z

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 7d4c7b58-73a4-43e9-8c8c-8fcb5662e7b9 · outbound

This paper cites an unresolved cited work.

A First-Principles Theory of Slow Thinking and Active Perception Unresolved cited work

Reference 49

Resolution: unresolved; raw_fallback, observed 2026-07-10T11:37:03.808219Z

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 a3e2a6ec-8c3b-4dc0-9cee-219d85b3aac9 · outbound

This paper cites The Barron space and the flow-induced function spaces for neural network models.Constructive Approximation, 55(1):369–406, 2022.

A First-Principles Theory of Slow Thinking and Active Perception The Barron space and the flow-induced function spaces for neural network models.Constructive Approximation, 55(1):369–406, 2022

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-07-10T11:37:03.806575Z

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 5388eb5d-bc15-4a32-a8c9-000daecd68de · outbound

This paper cites On the Banach spaces associated with multi-layer ReLU networks: Function representation, approximation theory and gradient descent dynamics.

A First-Principles Theory of Slow Thinking and Active Perception On the Banach spaces associated with multi-layer ReLU networks: Function representation, approximation theory and gradient descent dynamics

Reference 51

Resolution: verified exact; local_arxiv, observed 2026-07-10T11:37:03.107479Z

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 2cfed84b-0e42-43d2-aca8-33d06be0dad1 · outbound

This paper cites A Fourier Space Perspective on Diffusion Models.

A First-Principles Theory of Slow Thinking and Active Perception A Fourier Space Perspective on Diffusion Models

Reference 52

Resolution: verified exact; local_arxiv, observed 2026-07-10T11:37:03.334121Z

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 513657c5-1fe1-40f5-b67f-e07a43fa88ee · outbound

This paper cites Object detection with discriminatively trained part-based models.IEEE transactions on pattern analysis and machine intelligence, 32(9):1627–1645, 2009.

A First-Principles Theory of Slow Thinking and Active Perception Object detection with discriminatively trained part-based models.IEEE transactions on pattern analysis and machine intelligence, 32(9):1627–1645, 2009

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-07-10T11:37:03.804652Z

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 c9b0d1ba-dcb2-4938-8905-dd0d52fa737f · outbound

This paper cites Pictorial structures for object recognition.

A First-Principles Theory of Slow Thinking and Active Perception Pictorial structures for object recognition

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-07-10T11:37:03.802873Z

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 05f2f18f-e8cc-45f1-824b-0a458c1277a3 · outbound

This paper cites A review of Shannon and differential entropy rate estimation.Entropy, 23(8):1046, 2021.

A First-Principles Theory of Slow Thinking and Active Perception A review of Shannon and differential entropy rate estimation.Entropy, 23(8):1046, 2021

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-07-10T11:37:03.801032Z

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 0d46917b-de88-499d-8324-078e1d18f3d5 · outbound

This paper cites Is the setp −1({0}) a set of measure zero for any multivariate polynomial? Mathematics Stack Exchange.

A First-Principles Theory of Slow Thinking and Active Perception Is the setp −1({0}) a set of measure zero for any multivariate polynomial? Mathematics Stack Exchange

Reference 56

Resolution: verified exact; arxiv_id, observed 2026-07-10T11:37:03.278265Z

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 a508c38a-53ca-4d6d-a400-9a5efd8e72b0 · outbound

This paper cites The representation and matching of pictorial struc- tures.IEEE Transactions on computers, 100(1):67–92, 1973.

A First-Principles Theory of Slow Thinking and Active Perception The representation and matching of pictorial struc- tures.IEEE Transactions on computers, 100(1):67–92, 1973

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-07-10T11:37:03.799382Z

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 2e38f89f-276a-4293-b97c-3aa8237909d2 · outbound

This paper cites Thomas Y.

A First-Principles Theory of Slow Thinking and Active Perception Thomas Y

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-07-10T11:37:03.797568Z

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 c1daa9b8-78a6-4792-8629-251124d488f3 · outbound

This paper cites The free-energy principle: a unified brain theory?Nature reviews neuroscience, 11(2):127–138.

A First-Principles Theory of Slow Thinking and Active Perception The free-energy principle: a unified brain theory?Nature reviews neuroscience, 11(2):127–138

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-07-10T11:37:03.794860Z

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 b0cb6fae-95e4-4f28-81e7-a953346fd1f6 · outbound

This paper cites The free energy principle made simpler but not too simple.Physics Reports, 1024:1–29, 2023.

A First-Principles Theory of Slow Thinking and Active Perception The free energy principle made simpler but not too simple.Physics Reports, 1024:1–29, 2023

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-07-10T11:37:03.793164Z

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 60fa49ce-bb65-40ba-8df5-8511fc4ae570 · outbound

This paper cites Adaptive Monte Carlo augmented with normalizing flows.Proceedings of the National Academy of Sciences, 119(10):e2109420119, 2022.

A First-Principles Theory of Slow Thinking and Active Perception Adaptive Monte Carlo augmented with normalizing flows.Proceedings of the National Academy of Sciences, 119(10):e2109420119, 2022

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-07-10T11:37:03.791425Z

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 6484b528-e0d3-4f83-965f-e3ef5d919447 · outbound

This paper cites Toward better formula lower bounds: The composition of a function and a universal relation.SIAM Journal on Computing, 46(1):114–131, 2017.

A First-Principles Theory of Slow Thinking and Active Perception Toward better formula lower bounds: The composition of a function and a universal relation.SIAM Journal on Computing, 46(1):114–131, 2017

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-07-10T11:37:03.789575Z

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 63079de9-6727-4753-a4cb-353288af6922 · outbound

This paper cites Bartoldson, Bhavya Kailkhura, Abhinav Bhatele, and Tom Goldstein.

A First-Principles Theory of Slow Thinking and Active Perception Bartoldson, Bhavya Kailkhura, Abhinav Bhatele, and Tom Goldstein

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-07-10T11:37:03.787910Z

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 6d74f0d1-8dcd-45e5-bb12-08cf012e0548 · outbound

This paper cites AI and memory wall.IEEE Micro, 44(3):33–39, 2024.

A First-Principles Theory of Slow Thinking and Active Perception AI and memory wall.IEEE Micro, 44(3):33–39, 2024

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-07-10T11:37:03.786238Z

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 701dbb06-df72-43f3-be2a-e05ae2d1605c · outbound

This paper cites Simulating threshold circuits by majority circuits.

A First-Principles Theory of Slow Thinking and Active Perception Simulating threshold circuits by majority circuits

Reference 65

Resolution: verified exact; doi, observed 2026-07-10T11:37:03.110966Z

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 be4da7cf-aad6-405f-8431-ddc7993063a4 · outbound

This paper cites Generative adversarial nets.

A First-Principles Theory of Slow Thinking and Active Perception Generative adversarial nets

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-07-10T11:37:03.783970Z

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 5393e671-f607-4e9f-b18b-776f95e876c6 · outbound

This paper cites The Llama 3 Herd of Models.

A First-Principles Theory of Slow Thinking and Active Perception The Llama 3 Herd of Models

Reference 67

Resolution: verified exact; local_arxiv, observed 2026-07-10T11:37:03.384366Z

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 79622d48-6898-4155-a4bd-3805a694767b · outbound

This paper cites JHU Press, 1996.

A First-Principles Theory of Slow Thinking and Active Perception JHU Press, 1996

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-07-10T11:37:03.782313Z

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 987a39a7-e34c-4481-be07-5b4f148b3ca3 · outbound

This paper cites DeepSeek-R1 incentivizes reasoning in LLMs through reinforcement learning.Nature, 645(8081):633–638.

A First-Principles Theory of Slow Thinking and Active Perception DeepSeek-R1 incentivizes reasoning in LLMs through reinforcement learning.Nature, 645(8081):633–638

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-07-10T11:37:03.780646Z

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 3ba60aaf-4aa9-42b0-8903-24449b7e48ad · outbound

This paper cites Vision gnn: An image is worth graph of nodes.Advances in neural information processing systems, 35:8291–8303.

A First-Principles Theory of Slow Thinking and Active Perception Vision gnn: An image is worth graph of nodes.Advances in neural information processing systems, 35:8291–8303

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-07-10T11:37:03.778921Z

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 fd2c753b-2099-4fe6-9a14-9a6a7e64ebe1 · outbound

This paper cites Training Large Language Models to Reason in a Continuous Latent Space.

A First-Principles Theory of Slow Thinking and Active Perception Training Large Language Models to Reason in a Continuous Latent Space

Reference 71

Resolution: verified exact; local_arxiv, observed 2026-07-10T11:37:03.413172Z

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 d4f26991-7d9c-4e55-85b9-e53ac6d28936 · outbound

This paper cites Avoiding another AI winter.IEEE Intelligent Systems, 23(02):2–4, 2008.

A First-Principles Theory of Slow Thinking and Active Perception Avoiding another AI winter.IEEE Intelligent Systems, 23(02):2–4, 2008

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-07-10T11:37:03.775303Z

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 18329556-09be-42bc-ad43-83e34b5ef758 · outbound

This paper cites Uniform constant- depth threshold circuits for division and iterated multiplication.

A First-Principles Theory of Slow Thinking and Active Perception Uniform constant- depth threshold circuits for division and iterated multiplication

Reference 73

Resolution: verified exact; doi, observed 2026-07-10T11:37:03.092748Z

Source-reported events for the cited work

correction dated 2013-09-20. Source: crossref record 10.1016/j.jcss.2013.09.002->10.1016/s0022-0000(02)00025-9:correction, observed 2026-07-11T03:15:33.812295+00:00. This notice travels one citation hop only.

Observation e37dffd7-a959-45da-b182-6d7289585895 · outbound

This paper cites Truncation Sampling as Language Model Desmoothing.

A First-Principles Theory of Slow Thinking and Active Perception Truncation Sampling as Language Model Desmoothing

Reference 74

Resolution: verified exact; local_arxiv, observed 2026-07-10T11:37:03.213748Z

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 d2d37baa-b1cf-4583-b7ff-4921e77ef892 · outbound

This paper cites InInternational conference on learning representations, 2017.

A First-Principles Theory of Slow Thinking and Active Perception InInternational conference on learning representations, 2017

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-07-10T11:37:03.773220Z

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 fccddfa1-f952-4cc8-bc95-aeb0ed6c7b4d · outbound

This paper cites Reconsidering Overthinking: Penalizing Internal and External Redundancy in CoT Reasoning.

A First-Principles Theory of Slow Thinking and Active Perception Reconsidering Overthinking: Penalizing Internal and External Redundancy in CoT Reasoning

Reference 76

Resolution: verified exact; local_arxiv, observed 2026-07-10T11:37:03.229054Z

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 c9e6ce2e-9e52-416a-b21d-1de6cc279b5a · outbound

This paper cites Emergent Slow Thinking in LLMs as Inverse Tree Freezing.

A First-Principles Theory of Slow Thinking and Active Perception Emergent Slow Thinking in LLMs as Inverse Tree Freezing

Reference 77

Resolution: verified exact; local_arxiv, observed 2026-07-10T11:37:03.362096Z

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 0d6c038d-6b4e-445a-a7f1-6a186cd593d1 · outbound

This paper cites Low-probability tokens sustain exploration in reinforcement learning with verifiable reward.arXiv preprint arXiv:2510.03222.

A First-Principles Theory of Slow Thinking and Active Perception Low-probability tokens sustain exploration in reinforcement learning with verifiable reward.arXiv preprint arXiv:2510.03222

Reference 78

Resolution: verified exact; arxiv_id, observed 2026-07-10T11:37:03.286014Z

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 60e806d2-78c5-4b1e-a5be-9328972f74d6 · outbound

This paper cites A method for the construction of minimum-redundancy codes.Proceedings of the IRE, 40(9):1098–1101, 2007.

A First-Principles Theory of Slow Thinking and Active Perception A method for the construction of minimum-redundancy codes.Proceedings of the IRE, 40(9):1098–1101, 2007

Reference 79

Resolution: verified fuzzy; raw_fallback, observed 2026-07-10T11:37:03.770878Z

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 56d505f4-76c9-44fe-8486-79dca63da56f · outbound

This paper cites Parameters for manipulation of the model output logits.https:// huggingface.co/docs/transformers/en/main_classes/text_generation#transformers.

A First-Principles Theory of Slow Thinking and Active Perception Parameters for manipulation of the model output logits.https:// huggingface.co/docs/transformers/en/main_classes/text_generation#transformers

Reference 80

Resolution: verified fuzzy; raw_fallback, observed 2026-07-10T11:37:03.769037Z

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 f8918d7f-342b-4e6e-b40b-0fb7307bda8e · outbound

This paper cites OpenAI o1 System Card.

A First-Principles Theory of Slow Thinking and Active Perception OpenAI o1 System Card

Reference 81

Resolution: verified exact; local_arxiv, observed 2026-07-10T11:37:03.339386Z

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 ebfca1e5-19bf-4d79-b820-efbb7154391b · outbound

This paper cites Root finding with threshold circuits.Theoretical Computer Science, 462:59–69, 2012.doi:10.1016/j.tcs.2012.09.001.

A First-Principles Theory of Slow Thinking and Active Perception Root finding with threshold circuits.Theoretical Computer Science, 462:59–69, 2012.doi:10.1016/j.tcs.2012.09.001

Reference 82

Resolution: verified exact; doi, observed 2026-07-10T11:37:03.108810Z

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 aa7521c4-6f0a-4cc0-a7ba-ffa3fed7d347 · outbound

This paper cites Perceptual losses for real-time style transfer and super-resolution.

A First-Principles Theory of Slow Thinking and Active Perception Perceptual losses for real-time style transfer and super-resolution

Reference 83

Resolution: verified fuzzy; raw_fallback, observed 2026-07-10T11:37:03.767341Z

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 f2ac92db-a2b7-4b02-ac57-340ae4de6d89 · outbound

This paper cites Cambridge University Press, 1996.

A First-Principles Theory of Slow Thinking and Active Perception Cambridge University Press, 1996

Reference 84

Resolution: verified fuzzy; raw_fallback, observed 2026-07-10T11:37:03.765604Z

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 8928ed2d-93c0-4487-849f-16a8d47dd018 · outbound

This paper cites Maps of bounded rationality: Psychology for behavioral economics.American economic review, 93(5):1449–1475, 2003.

A First-Principles Theory of Slow Thinking and Active Perception Maps of bounded rationality: Psychology for behavioral economics.American economic review, 93(5):1449–1475, 2003

Reference 85

Resolution: verified fuzzy; raw_fallback, observed 2026-07-10T11:37:03.763895Z

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 d70539b5-baa6-415b-b34c-77f33687cd08 · outbound

This paper cites Farrar, Straus and Giroux.

A First-Principles Theory of Slow Thinking and Active Perception Farrar, Straus and Giroux

Reference 86

Resolution: verified fuzzy; raw_fallback, observed 2026-07-10T11:37:03.761223Z

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 352c2a1b-c3f4-4b19-81cc-59e3f4992a27 · outbound

This paper cites Springer, 3rd edition, 2021.

A First-Principles Theory of Slow Thinking and Active Perception Springer, 3rd edition, 2021

Reference 87

Resolution: verified fuzzy; raw_fallback, observed 2026-07-10T11:37:03.759488Z

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 b7373203-7e83-4e7a-92f5-4549da451929 · outbound

This paper cites Mathematical methods of organizing and planning production.Manage- ment science, 6(4):366–422, 1960.

A First-Principles Theory of Slow Thinking and Active Perception Mathematical methods of organizing and planning production.Manage- ment science, 6(4):366–422, 1960

Reference 88

Resolution: verified fuzzy; raw_fallback, observed 2026-07-10T11:37:03.757970Z

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 8c5daa83-150f-4d90-a041-66d285a0b14a · outbound

This paper cites Reasoning without training: Your base model is smarter than you think.

A First-Principles Theory of Slow Thinking and Active Perception Reasoning without training: Your base model is smarter than you think

Reference 89

Resolution: verified fuzzy; raw_fallback, observed 2026-07-10T11:37:03.755763Z

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 93f9bff4-29ef-4af4-92ee-f54a6cf3351e · outbound

This paper cites Super-logarithmic depth lower bounds via the direct sum in communication complexity.Computational Complexity, 5(3):191–204, 1995.

A First-Principles Theory of Slow Thinking and Active Perception Super-logarithmic depth lower bounds via the direct sum in communication complexity.Computational Complexity, 5(3):191–204, 1995

Reference 90

Resolution: verified fuzzy; raw_fallback, observed 2026-07-10T11:37:03.753220Z

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 f1650da4-6a05-49f5-9433-6189126db2d0 · outbound

This paper cites Discovering hidden visual concepts beyond linguistic input in infant learning.

A First-Principles Theory of Slow Thinking and Active Perception Discovering hidden visual concepts beyond linguistic input in infant learning

Reference 91

Resolution: verified fuzzy; raw_fallback, observed 2026-07-10T11:37:03.751104Z

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 a3eb5d2c-ae59-4d32-94b3-87ceeb38d594 · outbound

This paper cites Springer Science & Business Media, 2012.

A First-Principles Theory of Slow Thinking and Active Perception Springer Science & Business Media, 2012

Reference 92

Resolution: verified fuzzy; raw_fallback, observed 2026-07-10T11:37:04.073248Z

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 2ff39d52-ce32-4094-a8ef-b2d5af4132c7 · outbound

This paper cites CTRL: A Conditional Transformer Language Model for Controllable Generation.

A First-Principles Theory of Slow Thinking and Active Perception CTRL: A Conditional Transformer Language Model for Controllable Generation

Reference 93

Resolution: verified exact; local_arxiv, observed 2026-07-10T11:37:03.422002Z

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 8b09f751-2031-4b4f-808b-6adbbd061ab2 · outbound

This paper cites Auto-Encoding Variational Bayes.

A First-Principles Theory of Slow Thinking and Active Perception Auto-Encoding Variational Bayes

Reference 94

Resolution: verified exact; local_arxiv, observed 2026-07-10T11:37:03.419415Z

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 eb7c7b63-c946-4af3-b766-5b9064147688 · outbound

This paper cites Lafferty, Andrew McCallum, and Fernando C.

A First-Principles Theory of Slow Thinking and Active Perception Lafferty, Andrew McCallum, and Fernando C

Reference 95

Resolution: verified fuzzy; raw_fallback, observed 2026-07-10T11:37:04.071627Z

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 9d0ea751-b046-4e70-a561-8654af203387 · outbound

This paper cites An optimal control approach to deep learning and applications to discrete-weight neural networks.

A First-Principles Theory of Slow Thinking and Active Perception An optimal control approach to deep learning and applications to discrete-weight neural networks

Reference 96

Resolution: verified fuzzy; raw_fallback, observed 2026-07-10T11:37:04.070030Z

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 9dd37e70-a799-40b9-a25f-cdf2199be570 · outbound

This paper cites Chain of thought empowers transform- ers to solve inherently serial problems.

A First-Principles Theory of Slow Thinking and Active Perception Chain of thought empowers transform- ers to solve inherently serial problems

Reference 97

Resolution: verified fuzzy; raw_fallback, observed 2026-07-10T11:37:04.068222Z

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 96f07a68-d3a4-4e67-8a23-9e4ae835cca6 · outbound

This paper cites Reward-guided speculative decoding for efficient LLM reasoning.

A First-Principles Theory of Slow Thinking and Active Perception Reward-guided speculative decoding for efficient LLM reasoning

Reference 98

Resolution: verified fuzzy; raw_fallback, observed 2026-07-10T11:37:04.066239Z

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 6a86a1e9-b344-4776-82b9-e3dc03f49936 · outbound

This paper cites RAVR: Reference-answer-guided variational reasoning for large language models,.

A First-Principles Theory of Slow Thinking and Active Perception RAVR: Reference-answer-guided variational reasoning for large language models,

Reference 99

Resolution: verified fuzzy; raw_fallback, observed 2026-07-10T11:37:04.064407Z

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 fbbdf248-69ca-478a-bddf-069a2b38f516 · outbound

This paper cites Ravr: Reference-answer-guided variational reasoning for large language models.

A First-Principles Theory of Slow Thinking and Active Perception Ravr: Reference-answer-guided variational reasoning for large language models

Reference 100

Resolution: verified exact; arxiv_id, observed 2026-07-10T11:37:03.409086Z

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.

Coverage vector

Reference resolution

Outbound references

Pith citing papers