Paper Citation Record · LEDGER

Energy-Based Transformers are Scalable Learners and Thinkers

As of 7 August 2026, this Paper Citation Record lists 100 of 162 outbound references and 16 inbound Pith citation observations for arXiv:2507.02092.

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

pith.paper-citation-record.v1
2507.02092 v1

Coverage vector

measured 100 of 162 reference resolution

Typed states for the displayed outbound observations.

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measured 116 of 116 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 16 of 16 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T10:08:58.164654Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

100 of 162 outbound references displayed

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External citation measurements

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arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation d6ddae26-85e1-45a8-a31d-ab70cbda7460 · outbound

This paper cites Thinking, fast and slow.

Energy-Based Transformers are Scalable Learners and Thinkers Thinking, fast and slow

Reference 1

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Observation b1453c70-fcab-479b-822a-ac4c623d20f9 · outbound

This paper cites Dual-process theories of reasoning: Contemporary issues and developmental applications.

Energy-Based Transformers are Scalable Learners and Thinkers Dual-process theories of reasoning: Contemporary issues and developmental applications

Reference 2

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Observation b60f4321-59fc-4c6f-9316-13fd6baa9661 · outbound

This paper cites Representativeness revisited: Attribute substitution in intuitive judgment.

Energy-Based Transformers are Scalable Learners and Thinkers Representativeness revisited: Attribute substitution in intuitive judgment

Reference 3

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This paper cites Dual-process and dual-system theories of reasoning.

Energy-Based Transformers are Scalable Learners and Thinkers Dual-process and dual-system theories of reasoning

Reference 4

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Observation 35bc9d69-a7a2-45a2-88d1-8b6b1ae5938e · outbound

This paper cites Dual processing in reasoning: Two systems but one reasoner.

Energy-Based Transformers are Scalable Learners and Thinkers Dual processing in reasoning: Two systems but one reasoner

Reference 5

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Observation 76480e4e-74f9-44ff-aaef-25c67fae60b6 · outbound

This paper cites Dissociation of mechanisms underlying syllogistic reasoning.

Energy-Based Transformers are Scalable Learners and Thinkers Dissociation of mechanisms underlying syllogistic reasoning

Reference 6

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Observation 05834008-db06-413a-b1a6-563d060e2195 · outbound

This paper cites From System 1 to System 2: A Survey of Reasoning Large Language Models.

Energy-Based Transformers are Scalable Learners and Thinkers From System 1 to System 2: A Survey of Reasoning Large Language Models

Reference 7

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Observation 35cc0f0b-e247-4a74-bb70-2baa797c3e60 · outbound

This paper cites GSM-Symbolic: Understanding the Limitations of Mathematical Reasoning in Large Language Models.

Energy-Based Transformers are Scalable Learners and Thinkers GSM-Symbolic: Understanding the Limitations of Mathematical Reasoning in Large Language Models

Reference 8

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This paper cites Do phd-level llms truly grasp elementary addition? probing rule learning vs.

Energy-Based Transformers are Scalable Learners and Thinkers Do phd-level llms truly grasp elementary addition? probing rule learning vs

Reference 9

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Observation 2edaf2a4-53b2-47b2-b5fb-0b45c014e114 · outbound

This paper cites Escapebench: Pushing language models to think outside the box.

Energy-Based Transformers are Scalable Learners and Thinkers Escapebench: Pushing language models to think outside the box

Reference 10

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This paper cites OpenAI o1 System Card.

Energy-Based Transformers are Scalable Learners and Thinkers OpenAI o1 System Card

Reference 11

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Observation d7467f5c-04d2-4cd4-a016-b551e3c2eba1 · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

Energy-Based Transformers are Scalable Learners and Thinkers DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 12

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Observation 039ba5e4-fad0-4346-bc5a-b5dd8c004988 · outbound

This paper cites Grok 3 Beta — The Age of Reasoning Agents, 2025.

Energy-Based Transformers are Scalable Learners and Thinkers Grok 3 Beta — The Age of Reasoning Agents, 2025

Reference 13

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This paper cites Claude 3.7 sonnet and claude code, 2025.

Energy-Based Transformers are Scalable Learners and Thinkers Claude 3.7 sonnet and claude code, 2025

Reference 14

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Observation 40ef9616-cfc2-4240-8f4b-9a1f9b82501a · outbound

This paper cites Learning to reason with llms, 2024.

Energy-Based Transformers are Scalable Learners and Thinkers Learning to reason with llms, 2024

Reference 15

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This paper cites Crossing the Reward Bridge: Expanding RL with Verifiable Rewards Across Diverse Domains.

Energy-Based Transformers are Scalable Learners and Thinkers Crossing the Reward Bridge: Expanding RL with Verifiable Rewards Across Diverse Domains

Reference 16

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Observation 24d9c52c-a75b-408b-b1c8-26358dfca628 · outbound

This paper cites The illusion of thinking: Understanding the strengths and limitations of reasoning mod- els via the lens of problem complexity, 2025.

Energy-Based Transformers are Scalable Learners and Thinkers The illusion of thinking: Understanding the strengths and limitations of reasoning mod- els via the lens of problem complexity, 2025

Reference 17

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Observation 0f637e03-8084-4a6d-a282-e8a2af4ee97d · outbound

This paper cites Does Reinforcement Learning Really Incentivize Reasoning Capacity in LLMs Beyond the Base Model?.

Energy-Based Transformers are Scalable Learners and Thinkers Does Reinforcement Learning Really Incentivize Reasoning Capacity in LLMs Beyond the Base Model?

Reference 18

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Observation 62b2b6d2-ff92-4c36-a31b-6a7c366b54af · outbound

This paper cites Inference-Time Scaling for Diffusion Models beyond Scaling Denoising Steps.

Energy-Based Transformers are Scalable Learners and Thinkers Inference-Time Scaling for Diffusion Models beyond Scaling Denoising Steps

Reference 19

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This paper cites Video-T1: Test-Time Scaling for Video Generation.

Energy-Based Transformers are Scalable Learners and Thinkers Video-T1: Test-Time Scaling for Video Generation

Reference 20

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This paper cites A General Framework for Inference-time Scaling and Steering of Diffusion Models.

Energy-Based Transformers are Scalable Learners and Thinkers A General Framework for Inference-time Scaling and Steering of Diffusion Models

Reference 21

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This paper cites Mamba: Linear-Time Sequence Modeling with Selective State Spaces.

Energy-Based Transformers are Scalable Learners and Thinkers Mamba: Linear-Time Sequence Modeling with Selective State Spaces

Reference 22

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This paper cites RWKV: Reinventing RNNs for the Transformer Era.

Energy-Based Transformers are Scalable Learners and Thinkers RWKV: Reinventing RNNs for the Transformer Era

Reference 23

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This paper cites Long short-term memory.

Energy-Based Transformers are Scalable Learners and Thinkers Long short-term memory

Reference 24

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This paper cites Scaling up Test-Time Compute with Latent Reasoning: A Recurrent Depth Approach.

Energy-Based Transformers are Scalable Learners and Thinkers Scaling up Test-Time Compute with Latent Reasoning: A Recurrent Depth Approach

Reference 25

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This paper cites Scalable diffusion models with transformers, 2023.

Energy-Based Transformers are Scalable Learners and Thinkers Scalable diffusion models with transformers, 2023

Reference 26

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This paper cites Autoregressive image generation without vector quantization.

Energy-Based Transformers are Scalable Learners and Thinkers Autoregressive image generation without vector quantization

Reference 27

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Energy-Based Transformers are Scalable Learners and Thinkers Causal Diffusion Transformers for Generative Modeling

Reference 28

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Energy-Based Transformers are Scalable Learners and Thinkers Training Large Language Models to Reason in a Continuous Latent Space

Reference 29

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This paper cites Think before you speak: Training Language Models With Pause Tokens.

Energy-Based Transformers are Scalable Learners and Thinkers Think before you speak: Training Language Models With Pause Tokens

Reference 30

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Energy-Based Transformers are Scalable Learners and Thinkers Evidence for time-variant decision making

Reference 31

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This paper cites Prefrontal cortex and flexible cognitive control: Rules without symbols.

Energy-Based Transformers are Scalable Learners and Thinkers Prefrontal cortex and flexible cognitive control: Rules without symbols

Reference 32

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This paper cites Uncertainty-Based Abstention in LLMs Improves Safety and Reduces Hallucinations.

Energy-Based Transformers are Scalable Learners and Thinkers Uncertainty-Based Abstention in LLMs Improves Safety and Reduces Hallucinations

Reference 33

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Energy-Based Transformers are Scalable Learners and Thinkers Neural discrete representation learning

Reference 34

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Energy-Based Transformers are Scalable Learners and Thinkers Auto-encoding variational bayes, 2013

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Energy-Based Transformers are Scalable Learners and Thinkers BayesFormer: Transformer with Uncertainty Estimation

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Energy-Based Transformers are Scalable Learners and Thinkers Out-of-distribution detection with a single unconditional diffusion model

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Energy-Based Transformers are Scalable Learners and Thinkers Do Deep Generative Models Know What They Don't Know?

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Energy-Based Transformers are Scalable Learners and Thinkers Input complexity and out-of-distribution detection with likelihood-based generative models

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Energy-Based Transformers are Scalable Learners and Thinkers Mixture density networks

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Energy-Based Transformers are Scalable Learners and Thinkers Score-Based Generative Modeling through Stochastic Differential Equations

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This paper cites Introduction to latent variable energy-based models: a path toward autonomous machine intelligence.

Energy-Based Transformers are Scalable Learners and Thinkers Introduction to latent variable energy-based models: a path toward autonomous machine intelligence

Reference 42

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Energy-Based Transformers are Scalable Learners and Thinkers Peters, B

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Energy-Based Transformers are Scalable Learners and Thinkers Vilares, J

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Energy-Based Transformers are Scalable Learners and Thinkers Sarinopoulos, D

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Energy-Based Transformers are Scalable Learners and Thinkers Paving the way to eureka—introducing “dira” as an experimental paradigm to observe the process of creative problem solving

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Energy-Based Transformers are Scalable Learners and Thinkers Using contents and containers to investigate problem solving strategies among toddlers

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Energy-Based Transformers are Scalable Learners and Thinkers Learning iterative reasoning through energy minimization

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Energy-Based Transformers are Scalable Learners and Thinkers Mastering the game of go without human knowledge

Reference 49

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Energy-Based Transformers are Scalable Learners and Thinkers Let’s verify step by step

Reference 50

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Energy-Based Transformers are Scalable Learners and Thinkers Implicit generation and modeling with energy based models

Reference 51

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Energy-Based Transformers are Scalable Learners and Thinkers Improved Contrastive Divergence Training of Energy Based Models

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Energy-Based Transformers are Scalable Learners and Thinkers Learning energy-based models in high-dimensional spaces with multiscale denoising-score matching

Reference 53

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Energy-Based Transformers are Scalable Learners and Thinkers Generalized Energy Based Models

Reference 54

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Energy-Based Transformers are Scalable Learners and Thinkers Improving language understand- ing by generative pre-training

Reference 55

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Energy-Based Transformers are Scalable Learners and Thinkers Bert: Pre-training of deep bidirectional transformers for language understanding, 2019

Reference 56

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Energy-Based Transformers are Scalable Learners and Thinkers Visualizing the loss landscape of neural nets

Reference 57

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Energy-Based Transformers are Scalable Learners and Thinkers The complexity of theorem-proving procedures

Reference 58

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Energy-Based Transformers are Scalable Learners and Thinkers The knowledge complexity of interactive proof- systems

Reference 59

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This paper cites Letter to john von neumann, 1956.

Energy-Based Transformers are Scalable Learners and Thinkers Letter to john von neumann, 1956

Reference 60

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Observation ec6ed2f9-1d88-4dca-b12f-2be3541a6827 · outbound

This paper cites A Survey on the Applications of Zero-Knowledge Proofs.

Energy-Based Transformers are Scalable Learners and Thinkers A Survey on the Applications of Zero-Knowledge Proofs

Reference 61

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Energy-Based Transformers are Scalable Learners and Thinkers A method for obtaining digital signatures and public-key cryptosystems

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-06T20:42:33.535547Z

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Observation 7f0e8c6f-3b52-422a-abf5-a0c656e829de · outbound

This paper cites Alphacode 2 technical report.

Energy-Based Transformers are Scalable Learners and Thinkers Alphacode 2 technical report

Reference 63

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Observation 768dd99b-21e3-4e3f-9aba-2ab20f6bb9bb · outbound

This paper cites Griffiths, Yuan Cao, and Karthik Narasimhan.

Energy-Based Transformers are Scalable Learners and Thinkers Griffiths, Yuan Cao, and Karthik Narasimhan

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-06T20:42:33.707498Z

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Observation afb0c69a-d33c-413b-a078-1cf757642dc8 · outbound

This paper cites Training language models to follow instructions with human feedback.

Energy-Based Transformers are Scalable Learners and Thinkers Training language models to follow instructions with human feedback

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-06T20:42:33.786601Z

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Observation 46e69b7b-8bbf-4172-a7ed-782d24f6ef67 · outbound

This paper cites All roads lead to likelihood: The value of reinforcement learning in fine-tuning.

Energy-Based Transformers are Scalable Learners and Thinkers All roads lead to likelihood: The value of reinforcement learning in fine-tuning

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-06T20:42:33.870075Z

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Observation 11ab7f4d-b8a6-4e9b-9698-8b875689a168 · outbound

This paper cites Learning Iterative Reasoning through Energy Diffusion.

Energy-Based Transformers are Scalable Learners and Thinkers Learning Iterative Reasoning through Energy Diffusion

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-06T20:42:34.008179Z

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Observation a061f6be-ffe3-4212-853d-8101b4619921 · outbound

This paper cites The Generative AI Paradox: "What It Can Create, It May Not Understand".

Energy-Based Transformers are Scalable Learners and Thinkers The Generative AI Paradox: "What It Can Create, It May Not Understand"

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-06T20:42:34.086763Z

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Observation c38fb9d3-72a9-4066-a8db-c2eac63a55d4 · outbound

This paper cites Commonsense psychology in human infants and machines.

Energy-Based Transformers are Scalable Learners and Thinkers Commonsense psychology in human infants and machines

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-06T20:42:34.184331Z

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Observation 1e07140c-3c4c-4dc8-a8ad-d2acaf5468c8 · outbound

This paper cites Position: Llms can’t plan, but can help planning in llm-modulo frameworks.

Energy-Based Transformers are Scalable Learners and Thinkers Position: Llms can’t plan, but can help planning in llm-modulo frameworks

Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-06T20:42:34.264398Z

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Observation b022da06-296c-49f9-94e6-013c213d0a80 · outbound

This paper cites Energy-Inspired Self-Supervised Pretraining for Vision Models.

Energy-Based Transformers are Scalable Learners and Thinkers Energy-Inspired Self-Supervised Pretraining for Vision Models

Reference 71

Resolution: verified exact; local_arxiv, observed 2026-08-06T20:42:42.701929Z

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Observation 414175cf-2b52-49e4-abf4-bc886fb2473a · outbound

This paper cites A path towards autonomous machine intelligence version 0.9.

Energy-Based Transformers are Scalable Learners and Thinkers A path towards autonomous machine intelligence version 0.9

Reference 72

Resolution: unresolved; no resolver link, observed 2026-08-06T20:42:34.452087Z

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Observation 873a1416-b6da-4ca0-8d9f-6812393ddf3b · outbound

This paper cites Generative adversarial nets.

Energy-Based Transformers are Scalable Learners and Thinkers Generative adversarial nets

Reference 73

Resolution: unresolved; no resolver link, observed 2026-08-06T20:42:34.562610Z

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Observation 7c53a24a-7410-4b4c-a398-ba3ff1db27fd · outbound

This paper cites A neural probabilistic language model.

Energy-Based Transformers are Scalable Learners and Thinkers A neural probabilistic language model

Reference 74

Resolution: unresolved; no resolver link, observed 2026-08-06T20:42:34.631041Z

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Observation d8ae396b-51c6-4911-aee0-fc24d70c1975 · outbound

This paper cites Denoising diffusion probabilistic models.

Energy-Based Transformers are Scalable Learners and Thinkers Denoising diffusion probabilistic models

Reference 75

Resolution: unresolved; no resolver link, observed 2026-08-06T20:42:34.700666Z

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Observation 075ae49c-bc82-40d2-90e3-2ce23ff9aa47 · outbound

This paper cites How to compute hessian-vector products? In ICLR Blogposts 2024, 2024.

Energy-Based Transformers are Scalable Learners and Thinkers How to compute hessian-vector products? In ICLR Blogposts 2024, 2024

Reference 76

Resolution: unresolved; no resolver link, observed 2026-08-06T20:42:34.765629Z

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Observation 02f05fed-2e8d-4210-a785-c4f7d5cd3a88 · outbound

This paper cites Learning to summarize with human feedback.

Energy-Based Transformers are Scalable Learners and Thinkers Learning to summarize with human feedback

Reference 77

Resolution: unresolved; no resolver link, observed 2026-08-06T20:42:34.828094Z

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Observation ef35ec80-1bb7-4aba-b311-f561852563ce · outbound

This paper cites Gpt-4 technical report, 2023.

Energy-Based Transformers are Scalable Learners and Thinkers Gpt-4 technical report, 2023

Reference 78

Resolution: unresolved; no resolver link, observed 2026-08-06T20:42:34.925762Z

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Observation a0d5cbff-3fec-4dde-98b2-90c2b92dc950 · outbound

This paper cites Dinov2: Learning robust visual features without supervision, 2023.

Energy-Based Transformers are Scalable Learners and Thinkers Dinov2: Learning robust visual features without supervision, 2023

Reference 79

Resolution: unresolved; no resolver link, observed 2026-08-06T20:42:35.006584Z

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Observation 36237a5c-f279-41d2-a05d-8b09e6fe5502 · outbound

This paper cites Masked autoencoders are scalable vision learners, 2021.

Energy-Based Transformers are Scalable Learners and Thinkers Masked autoencoders are scalable vision learners, 2021

Reference 80

Resolution: unresolved; no resolver link, observed 2026-08-06T20:42:35.067979Z

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Observation b223fe79-471e-44cd-8389-c8526b5b20c6 · outbound

This paper cites Audiolm: a language modeling approach to audio generation, 2023.

Energy-Based Transformers are Scalable Learners and Thinkers Audiolm: a language modeling approach to audio generation, 2023

Reference 81

Resolution: unresolved; no resolver link, observed 2026-08-06T20:42:35.135957Z

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Observation 4c13c89c-f5e6-4ca9-9f60-e058e0961c63 · outbound

This paper cites Language models are unsupervised multitask learners.

Energy-Based Transformers are Scalable Learners and Thinkers Language models are unsupervised multitask learners

Reference 82

Resolution: unresolved; no resolver link, observed 2026-08-06T20:42:35.207395Z

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Observation 0575370b-3e6d-45ec-b482-68c5e7ffcab4 · outbound

This paper cites Attention is all you need.

Energy-Based Transformers are Scalable Learners and Thinkers Attention is all you need

Reference 83

Resolution: unresolved; no resolver link, observed 2026-08-06T20:42:35.251527Z

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Observation 4a473687-5d2e-424b-a2b3-9fd18ce432ce · outbound

This paper cites The Llama 3 Herd of Models.

Energy-Based Transformers are Scalable Learners and Thinkers The Llama 3 Herd of Models

Reference 84

Resolution: unresolved; no resolver link, observed 2026-08-06T20:42:35.319402Z

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Observation 8c235005-e7d1-493f-9a44-56e12789270f · outbound

This paper cites Scaling Laws for Neural Language Models.

Energy-Based Transformers are Scalable Learners and Thinkers Scaling Laws for Neural Language Models

Reference 85

Resolution: unresolved; no resolver link, observed 2026-08-06T20:42:35.450884Z

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Observation 3d490c07-6995-4848-8e3e-07d52a97d696 · outbound

This paper cites (Mis)Fitting: A Survey of Scaling Laws.

Energy-Based Transformers are Scalable Learners and Thinkers (Mis)Fitting: A Survey of Scaling Laws

Reference 86

Resolution: unresolved; no resolver link, observed 2026-08-06T20:42:35.541466Z

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Observation 239be76b-5a53-40d2-92a1-62534bbfc5b4 · outbound

This paper cites Llama 2: Open foundation and fine-tuned chat models, 2023.

Energy-Based Transformers are Scalable Learners and Thinkers Llama 2: Open foundation and fine-tuned chat models, 2023

Reference 87

Resolution: unresolved; no resolver link, observed 2026-08-06T20:42:35.606202Z

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Observation 55a62e46-f355-405c-b337-7eb717f98f76 · outbound

This paper cites Revisiting neural scaling laws in language and vision.

Energy-Based Transformers are Scalable Learners and Thinkers Revisiting neural scaling laws in language and vision

Reference 88

Resolution: unresolved; no resolver link, observed 2026-08-06T20:42:35.695173Z

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Observation 0cc151af-d309-43ac-91eb-0371b3636c69 · outbound

This paper cites Scaling Laws for Autoregressive Generative Modeling.

Energy-Based Transformers are Scalable Learners and Thinkers Scaling Laws for Autoregressive Generative Modeling

Reference 89

Resolution: unresolved; no resolver link, observed 2026-08-06T20:42:35.778302Z

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Observation f764aa79-0c37-43ea-8bca-35bc22ce5393 · outbound

This paper cites Training Compute-Optimal Large Language Models.

Energy-Based Transformers are Scalable Learners and Thinkers Training Compute-Optimal Large Language Models

Reference 90

Resolution: unresolved; no resolver link, observed 2026-08-06T20:42:35.885430Z

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Observation 3ef06e2f-f89e-43ab-a067-790e7c3b817e · outbound

This paper cites Neural ordinary differential equations.

Energy-Based Transformers are Scalable Learners and Thinkers Neural ordinary differential equations

Reference 91

Resolution: unresolved; no resolver link, observed 2026-08-06T20:42:35.973122Z

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Observation a740d04b-eb70-44c9-9aeb-7252390f443c · outbound

This paper cites Redpajama: an open dataset for training large language models.

Energy-Based Transformers are Scalable Learners and Thinkers Redpajama: an open dataset for training large language models

Reference 92

Resolution: unresolved; no resolver link, observed 2026-08-06T20:42:36.040930Z

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Observation 00ecd7a6-48b4-44a1-bfe2-1a9d36cd77c4 · outbound

This paper cites Redpajama: an open dataset for training large language models, 2023.

Energy-Based Transformers are Scalable Learners and Thinkers Redpajama: an open dataset for training large language models, 2023

Reference 93

Resolution: unresolved; no resolver link, observed 2026-08-06T20:42:36.083704Z

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Observation 03016366-1bbf-4b52-b732-77cf3b51bbc6 · outbound

This paper cites GPT-NeoX-20B: An Open-Source Autoregressive Language Model.

Energy-Based Transformers are Scalable Learners and Thinkers GPT-NeoX-20B: An Open-Source Autoregressive Language Model

Reference 94

Resolution: unresolved; no resolver link, observed 2026-08-06T20:42:36.122729Z

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Observation 24d925d3-d603-4cfd-a18a-e9945c9595e2 · outbound

This paper cites Learning to (Learn at Test Time): RNNs with Expressive Hidden States.

Energy-Based Transformers are Scalable Learners and Thinkers Learning to (Learn at Test Time): RNNs with Expressive Hidden States

Reference 95

Resolution: unresolved; no resolver link, observed 2026-08-06T20:42:36.203029Z

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Observation 3688ee12-d42c-401c-9711-c7b05e16bae3 · outbound

This paper cites Physics of language models: Part 2.1, grade- school math and the hidden reasoning process.

Energy-Based Transformers are Scalable Learners and Thinkers Physics of language models: Part 2.1, grade- school math and the hidden reasoning process

Reference 96

Resolution: unresolved; no resolver link, observed 2026-08-06T20:42:36.279692Z

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Observation 4b39c09f-3a08-4864-8434-65d1f3ef63f7 · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

Energy-Based Transformers are Scalable Learners and Thinkers Training Verifiers to Solve Math Word Problems

Reference 97

Resolution: unresolved; no resolver link, observed 2026-08-06T20:42:36.404415Z

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Observation 598cefe2-918e-4e00-920a-e1dd5610ae53 · outbound

This paper cites SQuAD: 100,000+ Questions for Machine Comprehension of Text.

Energy-Based Transformers are Scalable Learners and Thinkers SQuAD: 100,000+ Questions for Machine Comprehension of Text

Reference 98

Resolution: unresolved; no resolver link, observed 2026-08-06T20:42:36.467847Z

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Observation 7ebfd7ff-96a9-4f0e-b35c-d731d3037fb5 · outbound

This paper cites Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models.

Energy-Based Transformers are Scalable Learners and Thinkers Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models

Reference 99

Resolution: unresolved; no resolver link, observed 2026-08-06T20:42:36.518813Z

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Observation 4f7b2363-e926-404f-8547-9cad4022b36f · outbound

This paper cites Are emergent abilities of large language models a mirage? Advances in Neural Information Processing Systems, 36:55565–55581, 2023.

Energy-Based Transformers are Scalable Learners and Thinkers Are emergent abilities of large language models a mirage? Advances in Neural Information Processing Systems, 36:55565–55581, 2023

Reference 100

Resolution: unresolved; no resolver link, observed 2026-08-06T20:42:36.609859Z

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Pith citing papers

Observation 0ba7fdcc-f59d-47c7-a16e-c00c92b7d1a4 · inbound

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

Training Large Language Models to Reason in a Continuous Latent Space Energy-Based Transformers are Scalable Learners and Thinkers

Reference 11

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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 0648a563-5a42-4c15-80e8-df5163347832 · inbound

Towards Reasoning Era: A Survey of Long Chain-of-Thought for Reasoning Large Language Models cites this paper.

Towards Reasoning Era: A Survey of Long Chain-of-Thought for Reasoning Large Language Models Energy-Based Transformers are Scalable Learners and Thinkers

Reference 212

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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 28496935-a384-4c24-94e6-9eb48389bb1d · inbound

Learning Latent Energy-Based Models via Interacting Particle Langevin Dynamics cites this paper.

Learning Latent Energy-Based Models via Interacting Particle Langevin Dynamics Energy-Based Transformers are Scalable Learners and Thinkers

Reference 19

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Observation 4be6f3f6-eff6-42f3-bdc0-db59cd6df58f · inbound

On the Spatiotemporal Dynamics of Generalization in Neural Networks cites this paper.

On the Spatiotemporal Dynamics of Generalization in Neural Networks Energy-Based Transformers are Scalable Learners and Thinkers

Reference 35

Resolution: verified exact; arxiv_id, observed 2026-05-16T09:00:46.792385Z

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

Observation 9014ed6e-12bd-4040-b93e-37d2bb28be88 · inbound

Learning 3D Reconstruction with Priors in Test Time cites this paper.

Learning 3D Reconstruction with Priors in Test Time Energy-Based Transformers are Scalable Learners and Thinkers

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-05-13T16:48:02.686503Z

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 5c92e538-13c6-42d1-9211-fba34e7489fb · inbound

The Phase Is the Gradient: Equilibrium Propagation for Frequency Learning in Kuramoto Networks cites this paper.

The Phase Is the Gradient: Equilibrium Propagation for Frequency Learning in Kuramoto Networks Energy-Based Transformers are Scalable Learners and Thinkers

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-05-11T09:41:04.744352Z

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 fe2c7e4a-a4da-4a05-a8b9-69ff96f2c005 · inbound

One Scale at a Time: Scale-Autoregressive Modeling for Fluid Flow Distributions cites this paper.

One Scale at a Time: Scale-Autoregressive Modeling for Fluid Flow Distributions Energy-Based Transformers are Scalable Learners and Thinkers

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-05-11T09:16:03.648656Z

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 5a60daec-fd0f-471e-9123-40ac7c32f1fa · inbound

C-voting: Confidence-Based Test-Time Voting without Explicit Energy Functions cites this paper.

C-voting: Confidence-Based Test-Time Voting without Explicit Energy Functions Energy-Based Transformers are Scalable Learners and Thinkers

Reference 8

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T13:05:24.967018Z

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 1748119f-8f81-415d-8d7d-1ffd7fa5b459 · inbound

Revisiting Transformer Layer Parameterization Through Causal Energy Minimization cites this paper.

Revisiting Transformer Layer Parameterization Through Causal Energy Minimization Energy-Based Transformers are Scalable Learners and Thinkers

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-05-11T03:45:59.049118Z

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 19f380de-6671-4109-b2b7-cb06c4cb57a5 · inbound

Fixed-Point Reasoners: Stable and Adaptive Deep Looped Transformers cites this paper.

Fixed-Point Reasoners: Stable and Adaptive Deep Looped Transformers Energy-Based Transformers are Scalable Learners and Thinkers

Reference 55

Resolution: verified exact; arxiv_id, observed 2026-06-27T00:40:17.960298Z

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 3f8f7420-ec3a-4383-9ddb-7bc804697144 · inbound

Text Dictates, Music Decorates: Energy-based Attention for Editable Dance Motion Generation cites this paper.

Text Dictates, Music Decorates: Energy-based Attention for Editable Dance Motion Generation Energy-Based Transformers are Scalable Learners and Thinkers

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-06-26T09:19:16.020819Z

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 45e7168a-fde8-4723-aed8-7fc9a26ed397 · inbound

Text Dictates, Music Decorates: Energy-based Attention for Editable Dance Motion Generation cites this paper.

Text Dictates, Music Decorates: Energy-based Attention for Editable Dance Motion Generation Energy-Based Transformers are Scalable Learners and Thinkers

Reference 14

Resolution: unresolved; no resolver link, observed 2026-07-12T12:50:56.152971Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 630e150a-c971-4459-ba78-25a923b25ffa · inbound

Advancing Optimal Subset Oracle via Learning Relaxation of Neural Set Functions cites this paper.

Advancing Optimal Subset Oracle via Learning Relaxation of Neural Set Functions Energy-Based Transformers are Scalable Learners and Thinkers

Reference 12

Resolution: unresolved; no resolver link, observed 2026-07-14T04:48:14.980753Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1166e9f6-b53f-4b3c-b3fe-9293d38094c5 · inbound

Solver-Hard Is Not Model-Hard: A Hardness-Controlled Diagnostic for LLM Constraint Reasoning cites this paper.

Solver-Hard Is Not Model-Hard: A Hardness-Controlled Diagnostic for LLM Constraint Reasoning Energy-Based Transformers are Scalable Learners and Thinkers

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-01T19:14:27.667342Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7bbbeb4b-a6dd-464f-9e4c-f617d887e72d · inbound

Memoir: Should a Model Write to Its Memory While It Thinks? cites this paper.

Memoir: Should a Model Write to Its Memory While It Thinks? Energy-Based Transformers are Scalable Learners and Thinkers

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-01T09:25:23.671177Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 450f36dc-7179-4144-a485-09f06cb68896 · inbound

Explorative Modeling: Unlocking a Third Pretraining Axis and End-to-End Generation cites this paper.

Explorative Modeling: Unlocking a Third Pretraining Axis and End-to-End Generation Energy-Based Transformers are Scalable Learners and Thinkers

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-01T08:41:08.641850Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.