A Vision Toward Energy-Efficient Domain-Specific Artificial Intelligence Models and Agents | Paper Citation Record

Observation cba55537-0a46-4f57-b420-4ab63dc74f0e · outbound

This paper cites A Comprehensive Survey on Pretrained Foundation Models: A History from BERT to ChatGPT.

A Vision Toward Energy-Efficient Domain-Specific Artificial Intelligence Models and Agents A Comprehensive Survey on Pretrained Foundation Models: A History from BERT to ChatGPT

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-04T08:12:09.601797Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6bb50109-4626-4664-8562-8ea26f4fc4c6 · outbound

This paper cites ChatGPT: Jack of all trades, master of none.

A Vision Toward Energy-Efficient Domain-Specific Artificial Intelligence Models and Agents ChatGPT: Jack of all trades, master of none

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-04T08:12:09.667333Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b096e7a7-ec50-4462-a216-29993d9f275f · outbound

This paper cites Hierarchical Text-Conditional Image Generation with CLIP Latents.

A Vision Toward Energy-Efficient Domain-Specific Artificial Intelligence Models and Agents Hierarchical Text-Conditional Image Generation with CLIP Latents

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-04T08:12:09.759229Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8cc62a12-9442-4190-9f63-e17429e56202 · outbound

This paper cites Illiterate DALL-E Learns to Compose.

A Vision Toward Energy-Efficient Domain-Specific Artificial Intelligence Models and Agents Illiterate DALL-E Learns to Compose

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-04T08:12:09.831535Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eb3f0d83-b3a7-4d97-a735-1cf03136da7d · outbound

This paper cites LaMDA: Language Models for Dialog Applications.

A Vision Toward Energy-Efficient Domain-Specific Artificial Intelligence Models and Agents LaMDA: Language Models for Dialog Applications

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-04T08:12:09.949583Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a4df57e5-3c09-46bf-8fae-56d98aa526de · outbound

This paper cites PaLM-E: An Embodied Multimodal Language Model.

A Vision Toward Energy-Efficient Domain-Specific Artificial Intelligence Models and Agents PaLM-E: An Embodied Multimodal Language Model

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-04T08:12:10.058079Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b748a6ed-cbd9-4552-b759-665410181c0f · outbound

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

A Vision Toward Energy-Efficient Domain-Specific Artificial Intelligence Models and Agents Sparks of Artificial General Intelligence: Early experiments with GPT-4

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-04T08:12:10.142797Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a61f22cd-d601-47aa-9dd8-afca5b5af76f · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

A Vision Toward Energy-Efficient Domain-Specific Artificial Intelligence Models and Agents LLaMA: Open and Efficient Foundation Language Models

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-04T08:12:10.236126Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1f97a39d-dfd6-497b-8d93-d74685161c5c · outbound

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

A Vision Toward Energy-Efficient Domain-Specific Artificial Intelligence Models and Agents DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-04T08:12:10.350629Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1c96149b-21d7-4408-9220-baf7efd60d6e · outbound

This paper cites AI doubling its compute every 3.5 months,.

A Vision Toward Energy-Efficient Domain-Specific Artificial Intelligence Models and Agents AI doubling its compute every 3.5 months,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-04T08:12:10.437187Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c5eb3b63-cad3-4f75-9599-981d96ced945 · outbound

This paper cites Gpt-4 architecture, datasets, costs and more leaked,.

A Vision Toward Energy-Efficient Domain-Specific Artificial Intelligence Models and Agents Gpt-4 architecture, datasets, costs and more leaked,

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-04T08:12:10.516567Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3d4b61f5-9e41-49f5-a583-4566d9f138b7 · outbound

This paper cites 2024 report on U.S. data center energy use,.

A Vision Toward Energy-Efficient Domain-Specific Artificial Intelligence Models and Agents 2024 report on U.S. data center energy use,

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-04T08:12:10.608180Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f3e74d97-1297-4469-ab21-5cc9b4331712 · outbound

This paper cites GPTs and hallucination: Why do large language models hallucinate?.

A Vision Toward Energy-Efficient Domain-Specific Artificial Intelligence Models and Agents GPTs and hallucination: Why do large language models hallucinate?

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-04T08:12:10.728060Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b96ecd9c-2dcd-4350-9905-d30ab3347964 · outbound

This paper cites Retrieval-augmented generation for knowledge-intensive NLP tasks,.

A Vision Toward Energy-Efficient Domain-Specific Artificial Intelligence Models and Agents Retrieval-augmented generation for knowledge-intensive NLP tasks,

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-04T08:12:10.844829Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 439d16d0-4714-47a4-a6f5-e17b6b545fca · outbound

This paper cites Chain-of-thought prompting elicits reasoning in large language models,.

A Vision Toward Energy-Efficient Domain-Specific Artificial Intelligence Models and Agents Chain-of-thought prompting elicits reasoning in large language models,

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-04T08:12:10.943648Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 39909de2-170d-40ef-93d9-5c00254432fd · outbound

This paper cites Tree of thoughts: Deliberate problem solving with large language models,.

A Vision Toward Energy-Efficient Domain-Specific Artificial Intelligence Models and Agents Tree of thoughts: Deliberate problem solving with large language models,

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-04T08:12:11.004888Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1ae16f93-4ffd-4dbe-ade2-8a543120d2d5 · outbound

This paper cites an unresolved cited work.

A Vision Toward Energy-Efficient Domain-Specific Artificial Intelligence Models and Agents Unresolved cited work

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-04T08:12:11.087740Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aecde467-5896-4aa4-86fc-4bf7cc0b24fa · outbound

This paper cites On the Measure of Intelligence.

A Vision Toward Energy-Efficient Domain-Specific Artificial Intelligence Models and Agents On the Measure of Intelligence

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-04T08:12:11.160465Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e1d7d0ce-4e98-49b9-941a-053572be4058 · outbound

This paper cites Towards A Measure Of General Machine Intelligence.

A Vision Toward Energy-Efficient Domain-Specific Artificial Intelligence Models and Agents Towards A Measure Of General Machine Intelligence

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-04T08:12:11.246761Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 63e445d3-9313-425c-8e07-9fc3071e6e1b · outbound

This paper cites General intelligence disentangled via a generality metric for natural and artificial intelligence,.

A Vision Toward Energy-Efficient Domain-Specific Artificial Intelligence Models and Agents General intelligence disentangled via a generality metric for natural and artificial intelligence,

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-04T08:12:11.319441Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fb500fa8-37e4-4c07-b6a3-b6f63fb546ea · outbound

This paper cites Gathering strength, gathering storms: The one hundred year study on artificial intelligence (ai100) 2021 study panel report,.

A Vision Toward Energy-Efficient Domain-Specific Artificial Intelligence Models and Agents Gathering strength, gathering storms: The one hundred year study on artificial intelligence (ai100) 2021 study panel report,

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-04T08:12:11.419087Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a77949c0-e103-43d8-8769-042043d42737 · outbound

This paper cites Prospective Learning: Principled Extrapolation to the Future.

A Vision Toward Energy-Efficient Domain-Specific Artificial Intelligence Models and Agents Prospective Learning: Principled Extrapolation to the Future

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-04T08:12:11.582915Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0d1499bd-52df-4699-91a6-b2eb26bb572e · outbound

This paper cites An introduction to causal inference,.

A Vision Toward Energy-Efficient Domain-Specific Artificial Intelligence Models and Agents An introduction to causal inference,

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-04T08:12:11.652230Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 93260062-b83b-49b8-a3ee-9a2d5ad342f5 · outbound

This paper cites A critical analysis of metrics used for measuring progress in artificial intelligence.

A Vision Toward Energy-Efficient Domain-Specific Artificial Intelligence Models and Agents A critical analysis of metrics used for measuring progress in artificial intelligence

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-04T08:12:11.728795Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5623c2ff-8645-402e-8651-c7f873500d03 · outbound

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

A Vision Toward Energy-Efficient Domain-Specific Artificial Intelligence Models and Agents Building machines that learn and think like people,

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-04T08:12:11.849227Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 16b31e1d-b8bc-4bb2-9187-4d0f2ef68900 · outbound

This paper cites Children’s performance on a spatial analogies task,.

A Vision Toward Energy-Efficient Domain-Specific Artificial Intelligence Models and Agents Children’s performance on a spatial analogies task,

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-04T08:12:12.018798Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cf239e48-32b3-4f2b-ae90-f36d3a5dae5f · outbound

This paper cites A simple neural network module for relational reasoning,.

A Vision Toward Energy-Efficient Domain-Specific Artificial Intelligence Models and Agents A simple neural network module for relational reasoning,

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-04T08:12:12.153368Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation df4b3929-775c-4475-8b55-e811d08c77c6 · outbound

This paper cites an unresolved cited work.

A Vision Toward Energy-Efficient Domain-Specific Artificial Intelligence Models and Agents Unresolved cited work

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-04T08:12:12.256727Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b2ccb6e8-be67-4f2f-8c8b-1deae4e0a596 · outbound

This paper cites Abilities: Their structure, growth, and action,.

A Vision Toward Energy-Efficient Domain-Specific Artificial Intelligence Models and Agents Abilities: Their structure, growth, and action,

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-04T08:12:12.393962Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9083e57f-d665-4a16-b8ca-237fdca566c3 · outbound

This paper cites Emergence of analogy from relation learning,.

A Vision Toward Energy-Efficient Domain-Specific Artificial Intelligence Models and Agents Emergence of analogy from relation learning,

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-04T08:12:12.502929Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b1a94622-c69e-4fd3-a8bd-1f7f9653f5e7 · outbound

This paper cites Predicting patterns of similarity among abstract semantic relations,.

A Vision Toward Energy-Efficient Domain-Specific Artificial Intelligence Models and Agents Predicting patterns of similarity among abstract semantic relations,

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-04T08:12:12.617354Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 843039d5-e1b0-4b90-a980-911875dede77 · outbound

This paper cites Distributed code for semantic relations predicts neural similarity dur- ing analogical reasoning,.

A Vision Toward Energy-Efficient Domain-Specific Artificial Intelligence Models and Agents Distributed code for semantic relations predicts neural similarity dur- ing analogical reasoning,

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-04T08:12:12.732402Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1281f855-0faa-45ab-8902-ae26a8631c00 · outbound

This paper cites Probabilistic analogical mapping with semantic relation networks,.

A Vision Toward Energy-Efficient Domain-Specific Artificial Intelligence Models and Agents Probabilistic analogical mapping with semantic relation networks,

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-04T08:12:12.817969Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b1f88010-9837-49d4-8686-3d76ea943d77 · outbound

This paper cites Incremental learning using a grow-and- prune paradigm with efficient neural networks,.

A Vision Toward Energy-Efficient Domain-Specific Artificial Intelligence Models and Agents Incremental learning using a grow-and- prune paradigm with efficient neural networks,

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-04T08:12:12.932525Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f7acd7ed-0f44-4bbf-91c8-ffa5f488d859 · outbound

This paper cites Fully dynamic inference with deep neural networks,.

A Vision Toward Energy-Efficient Domain-Specific Artificial Intelligence Models and Agents Fully dynamic inference with deep neural networks,

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-04T08:12:13.118839Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 987700ce-72c5-4c29-aaf6-2cfe7090dd84 · outbound

This paper cites Grow and prune compact, fast, and accurate LSTMs,.

A Vision Toward Energy-Efficient Domain-Specific Artificial Intelligence Models and Agents Grow and prune compact, fast, and accurate LSTMs,

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-04T08:12:13.188420Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 880b68d0-40be-4e51-bcbe-d9eebea48bbd · outbound

This paper cites NeST: A neural network synthesis tool based on a grow-and- prune paradigm,.

A Vision Toward Energy-Efficient Domain-Specific Artificial Intelligence Models and Agents NeST: A neural network synthesis tool based on a grow-and- prune paradigm,

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-04T08:12:13.255364Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2e4a7ac7-5174-40f9-853b-3e5b61dacbd4 · outbound

This paper cites STEERAGE: Synthesis of Neural Networks Using Architecture Search and Grow-and-Prune Methods.

A Vision Toward Energy-Efficient Domain-Specific Artificial Intelligence Models and Agents STEERAGE: Synthesis of Neural Networks Using Architecture Search and Grow-and-Prune Methods

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-04T08:12:13.362267Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4714b050-b3f7-4dfe-8c5d-6e4fc6add129 · outbound

This paper cites SCouT: synthetic counterfactuals via spatiotemporal transformers for actionable health- care,.

A Vision Toward Energy-Efficient Domain-Specific Artificial Intelligence Models and Agents SCouT: synthetic counterfactuals via spatiotemporal transformers for actionable health- care,

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-04T08:12:13.433814Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 05a2dfbe-0956-4d75-a5e1-1a5c30e71b12 · outbound

This paper cites Simulation Intelligence: Towards a New Generation of Scientific Methods.

A Vision Toward Energy-Efficient Domain-Specific Artificial Intelligence Models and Agents Simulation Intelligence: Towards a New Generation of Scientific Methods

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-04T08:12:13.505614Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eb01c460-87c1-41f9-a401-41d094877dc1 · outbound

This paper cites Attention is all you need,.

A Vision Toward Energy-Efficient Domain-Specific Artificial Intelligence Models and Agents Attention is all you need,

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-04T08:12:13.590570Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9a53fcce-a31d-492e-a491-142cdb5fc662 · outbound

This paper cites Using synthetic controls: Feasibility, data requirements, and methodological aspects,.

A Vision Toward Energy-Efficient Domain-Specific Artificial Intelligence Models and Agents Using synthetic controls: Feasibility, data requirements, and methodological aspects,

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-04T08:12:13.654314Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 56c69d2f-0e1a-4e3e-966e-f5e1ccbabe7c · outbound

This paper cites Synthetic Interventions.

A Vision Toward Energy-Efficient Domain-Specific Artificial Intelligence Models and Agents Synthetic Interventions

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-04T08:12:13.720137Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e0edf0c2-a0fd-4376-b0eb-58629ae8e10b · outbound

This paper cites Algorithm selection by rational metareasoning as a model of human strategy selection,.

A Vision Toward Energy-Efficient Domain-Specific Artificial Intelligence Models and Agents Algorithm selection by rational metareasoning as a model of human strategy selection,

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-04T08:12:13.771480Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0863182b-cf01-4511-be47-3debd63420dc · outbound

This paper cites When does bounded-optimal metareasoning favor few cognitive systems?.

A Vision Toward Energy-Efficient Domain-Specific Artificial Intelligence Models and Agents When does bounded-optimal metareasoning favor few cognitive systems?

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-04T08:12:13.817234Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c919fd12-4ec8-46be-a938-7bcb993fd457 · outbound

This paper cites Learning to select computations,.

A Vision Toward Energy-Efficient Domain-Specific Artificial Intelligence Models and Agents Learning to select computations,

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-04T08:12:13.901379Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d7bff4c5-30b0-4b83-9863-669a542401ed · outbound

This paper cites Rational use of cognitive resources in human planning,.

A Vision Toward Energy-Efficient Domain-Specific Artificial Intelligence Models and Agents Rational use of cognitive resources in human planning,

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-04T08:12:14.019090Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9c1b39a2-24f0-4d70-88c8-cc7fe74ea785 · outbound

This paper cites An automatic method for discovering rational heuristics for risky choice.

A Vision Toward Energy-Efficient Domain-Specific Artificial Intelligence Models and Agents An automatic method for discovering rational heuristics for risky choice

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-04T08:12:14.156331Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dde9c702-e65e-4ea4-be9c-50f99124ee55 · outbound

This paper cites Burn-in, bias, and the ra- tionality of anchoring,.

A Vision Toward Energy-Efficient Domain-Specific Artificial Intelligence Models and Agents Burn-in, bias, and the ra- tionality of anchoring,

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-04T08:12:14.277147Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d3e19b98-beea-4a8a-9c41-735f91ee300d · outbound

This paper cites an unresolved cited work.

A Vision Toward Energy-Efficient Domain-Specific Artificial Intelligence Models and Agents Unresolved cited work

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-04T08:12:14.430159Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5877d9c4-6fff-471f-a2e0-279f64e023f0 · outbound

This paper cites Principles of metareasoning,.

A Vision Toward Energy-Efficient Domain-Specific Artificial Intelligence Models and Agents Principles of metareasoning,

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-04T08:12:14.533505Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 227c367c-ad48-41eb-b7b6-2aa803089af7 · outbound

This paper cites Rationality and intelligence,.

A Vision Toward Energy-Efficient Domain-Specific Artificial Intelligence Models and Agents Rationality and intelligence,

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-04T08:12:14.638534Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 844e5ce8-3d88-4f89-98f8-7f7bac133e4f · outbound

This paper cites Computational tradeoffs under bounded resources,.

A Vision Toward Energy-Efficient Domain-Specific Artificial Intelligence Models and Agents Computational tradeoffs under bounded resources,

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-04T08:12:14.691248Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b9d94a93-3981-4b27-bcce-2595c55fc52a · outbound

This paper cites Provably bounded-optimal agents,.

A Vision Toward Energy-Efficient Domain-Specific Artificial Intelligence Models and Agents Provably bounded-optimal agents,

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-04T08:12:14.789548Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0f32596b-49b6-4a9c-9ed6-30c798eacd4a · outbound

This paper cites Selecting computa- tions: Theory and applications,.

A Vision Toward Energy-Efficient Domain-Specific Artificial Intelligence Models and Agents Selecting computa- tions: Theory and applications,

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-04T08:12:14.891390Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bcbdebde-4a39-4246-9498-c63b4644fc5f · outbound

This paper cites Using goal-driven deep learning models to understand sensory cortex,.

A Vision Toward Energy-Efficient Domain-Specific Artificial Intelligence Models and Agents Using goal-driven deep learning models to understand sensory cortex,

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-04T08:12:14.981617Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f1cae7cd-138f-4b26-8e59-b82d2b1ee92b · outbound

This paper cites A back-propagation programmed network that simulates response properties of a subset of posterior parietal neurons,.

A Vision Toward Energy-Efficient Domain-Specific Artificial Intelligence Models and Agents A back-propagation programmed network that simulates response properties of a subset of posterior parietal neurons,

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-04T08:12:15.061563Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 40dcb7fb-6488-48b2-bfdf-a7de0b4f80c3 · outbound

This paper cites Vector-based navigation using grid-like representations in artificial agents,.

A Vision Toward Energy-Efficient Domain-Specific Artificial Intelligence Models and Agents Vector-based navigation using grid-like representations in artificial agents,

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-04T08:12:15.115528Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 948b1ad3-d883-4fa3-89b3-f66930914fe2 · outbound

This paper cites The parallel distributed processing approach to semantic cognition,.

A Vision Toward Energy-Efficient Domain-Specific Artificial Intelligence Models and Agents The parallel distributed processing approach to semantic cognition,

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-04T08:12:15.198628Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2c7eb36e-af07-4983-a048-b6997ef01436 · outbound

This paper cites A spiking network model of short-term active memory,.

A Vision Toward Energy-Efficient Domain-Specific Artificial Intelligence Models and Agents A spiking network model of short-term active memory,

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-04T08:12:15.272204Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f8b90293-12b4-41b8-80dc-fcdafd78325f · outbound

This paper cites Long short-term memory,.

A Vision Toward Energy-Efficient Domain-Specific Artificial Intelligence Models and Agents Long short-term memory,

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-04T08:12:15.374631Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 893e7906-a487-4ed5-adf8-8056a6384ad8 · outbound

This paper cites On the control of automatic processes: A parallel distributed processing account of the Stroop effect.

A Vision Toward Energy-Efficient Domain-Specific Artificial Intelligence Models and Agents On the control of automatic processes: A parallel distributed processing account of the Stroop effect

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-04T08:12:15.422672Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4504838f-962e-4940-b6dc-191a7ae0bf02 · outbound

This paper cites An integrative theory of prefrontal cortex function,.

A Vision Toward Energy-Efficient Domain-Specific Artificial Intelligence Models and Agents An integrative theory of prefrontal cortex function,

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-04T08:12:15.503353Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 213a720d-f41f-4017-b60f-abeb1c0e3f26 · outbound

This paper cites Interactions between frontal cortex and basal ganglia in working memory: A computational model,.

A Vision Toward Energy-Efficient Domain-Specific Artificial Intelligence Models and Agents Interactions between frontal cortex and basal ganglia in working memory: A computational model,

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-04T08:12:15.558186Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1afa8b03-9f4f-4cb1-8e71-daf50c135ff6 · outbound

This paper cites Why there are complementary learning systems in the hippocampus and neocortex: Insights from the successes and failures of connectionist models of learning and memory,.

A Vision Toward Energy-Efficient Domain-Specific Artificial Intelligence Models and Agents Why there are complementary learning systems in the hippocampus and neocortex: Insights from the successes and failures of connectionist models of learning and memory,

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-04T08:12:15.635266Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3d7ee2ed-557d-41e8-83af-2337217bfda7 · outbound

This paper cites What learning systems do intelligent agents need? Complementary learning systems theory updated,.

A Vision Toward Energy-Efficient Domain-Specific Artificial Intelligence Models and Agents What learning systems do intelligent agents need? Complementary learning systems theory updated,

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-04T08:12:15.732907Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3558697f-e51a-472e-8603-263b0adabe54 · outbound

This paper cites Neural Turing Machines.

A Vision Toward Energy-Efficient Domain-Specific Artificial Intelligence Models and Agents Neural Turing Machines

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-04T08:12:15.835860Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 78eb08ba-3b94-484b-91e4-ff5af7b52ae9 · outbound

This paper cites Neural episodic control,.

A Vision Toward Energy-Efficient Domain-Specific Artificial Intelligence Models and Agents Neural episodic control,

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-04T08:12:15.877315Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e6b07a78-ac2f-41b6-9f1e-1f27ddabd912 · outbound

This paper cites Learning representations that support extrapolation,.

A Vision Toward Energy-Efficient Domain-Specific Artificial Intelligence Models and Agents Learning representations that support extrapolation,

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-04T08:12:15.951950Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f98c00bf-ef29-45d8-b507-bbcca3b08b76 · outbound

This paper cites Modelling the development of counting with memory-augmented neural networks.

A Vision Toward Energy-Efficient Domain-Specific Artificial Intelligence Models and Agents Modelling the development of counting with memory-augmented neural networks

Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-04T08:12:16.054140Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6644e7a2-aa22-4f22-a101-73249753cd15 · outbound

This paper cites Emergent Symbols through Binding in External Memory.

A Vision Toward Energy-Efficient Domain-Specific Artificial Intelligence Models and Agents Emergent Symbols through Binding in External Memory

Reference 71

Resolution: unresolved; no resolver link, observed 2026-08-04T08:12:16.142322Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cd3e4f92-6716-4626-b9c1-a5a797d4228c · outbound

This paper cites An Introduction to Variational Autoencoders.

A Vision Toward Energy-Efficient Domain-Specific Artificial Intelligence Models and Agents An Introduction to Variational Autoencoders

Reference 72

Resolution: unresolved; no resolver link, observed 2026-08-04T08:12:16.294824Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dfd869f3-8ca0-4ef6-ad3a-df0459574697 · outbound

This paper cites Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks.

A Vision Toward Energy-Efficient Domain-Specific Artificial Intelligence Models and Agents Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks

Reference 73

Resolution: unresolved; no resolver link, observed 2026-08-04T08:12:16.458802Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4a74a49a-e1ba-4f84-8d90-ad5f77bbe3b7 · outbound

This paper cites Normalization as a canonical neural computation,.

A Vision Toward Energy-Efficient Domain-Specific Artificial Intelligence Models and Agents Normalization as a canonical neural computation,

Reference 74

Resolution: unresolved; no resolver link, observed 2026-08-04T08:12:16.569357Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 431bb260-0f0b-4a6d-82d5-9e0be16996da · outbound

This paper cites Layer Normalization.

A Vision Toward Energy-Efficient Domain-Specific Artificial Intelligence Models and Agents Layer Normalization

Reference 75

Resolution: unresolved; no resolver link, observed 2026-08-04T08:12:16.635397Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3a6ff499-0a72-46e9-a86b-9a7bd1e9414d · outbound

This paper cites Batch normalization: Accelerating deep network training by reducing internal covariate shift,.

A Vision Toward Energy-Efficient Domain-Specific Artificial Intelligence Models and Agents Batch normalization: Accelerating deep network training by reducing internal covariate shift,

Reference 76

Resolution: unresolved; no resolver link, observed 2026-08-04T08:12:16.729874Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b3c57df1-f1f6-442a-8b25-0a7e4830d2fb · outbound

This paper cites The proper treatment of symbols in a connectionist architecture. in, E. Deitrich and A. Markman, (Eds.), Cognitive dynamics: Conceptual Change in Human and Machines,.

A Vision Toward Energy-Efficient Domain-Specific Artificial Intelligence Models and Agents The proper treatment of symbols in a connectionist architecture. in, E. Deitrich and A. Markman, (Eds.), Cognitive dynamics: Conceptual Change in Human and Machines,

Reference 77

Resolution: unresolved; no resolver link, observed 2026-08-04T08:12:16.778290Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 59cfa3c4-0107-4b3d-8fcf-a8c63ed57d2c · outbound

This paper cites Indirection and symbol-like processing in the prefrontal cortex and basal ganglia,.

A Vision Toward Energy-Efficient Domain-Specific Artificial Intelligence Models and Agents Indirection and symbol-like processing in the prefrontal cortex and basal ganglia,

Reference 78

Resolution: unresolved; no resolver link, observed 2026-08-04T08:12:16.859511Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 64af9bd0-6cec-4da1-969a-cacd72f1d057 · outbound

This paper cites Marcus,The algebraic mind.

A Vision Toward Energy-Efficient Domain-Specific Artificial Intelligence Models and Agents Marcus,The algebraic mind

Reference 79

Resolution: unresolved; no resolver link, observed 2026-08-04T08:12:16.934580Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6d813d6d-f42f-4804-81b0-eb82a39421e3 · outbound

This paper cites Holographic reduced representations,.

A Vision Toward Energy-Efficient Domain-Specific Artificial Intelligence Models and Agents Holographic reduced representations,

Reference 80

Resolution: unresolved; no resolver link, observed 2026-08-04T08:12:17.027291Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation abccc8af-b866-4bf3-b552-db587ccecd3f · outbound

This paper cites Tensor product variable binding and the representation of symbolic structures in connectionist systems,.

A Vision Toward Energy-Efficient Domain-Specific Artificial Intelligence Models and Agents Tensor product variable binding and the representation of symbolic structures in connectionist systems,

Reference 81

Resolution: unresolved; no resolver link, observed 2026-08-04T08:12:17.102741Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 09fb1422-b6ac-407b-8f6a-abd802f7c533 · outbound

This paper cites Reinforcement learning, fast and slow,.

A Vision Toward Energy-Efficient Domain-Specific Artificial Intelligence Models and Agents Reinforcement learning, fast and slow,

Reference 82

Resolution: unresolved; no resolver link, observed 2026-08-04T08:12:17.182884Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a200ec5c-34db-4eea-949e-99fd510b222d · outbound

This paper cites How counting represents number: What children must learn and when they learn it,.

A Vision Toward Energy-Efficient Domain-Specific Artificial Intelligence Models and Agents How counting represents number: What children must learn and when they learn it,

Reference 83

Resolution: unresolved; no resolver link, observed 2026-08-04T08:12:17.332792Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cee9ce02-678a-483c-a415-056bee44581e · outbound

This paper cites Number development in young children,.

A Vision Toward Energy-Efficient Domain-Specific Artificial Intelligence Models and Agents Number development in young children,

Reference 84

Resolution: unresolved; no resolver link, observed 2026-08-04T08:12:17.473775Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b8548a5e-4249-4337-9ecd-902b08993ecb · outbound

This paper cites A model of knower-level behavior in number concept development,.

A Vision Toward Energy-Efficient Domain-Specific Artificial Intelligence Models and Agents A model of knower-level behavior in number concept development,

Reference 85

Resolution: unresolved; no resolver link, observed 2026-08-04T08:12:17.573993Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3f422d5d-bab7-438b-9da8-0e69109e7283 · outbound

This paper cites Multitasking versus multiplexing: Toward a normative account of lim- itations in the simultaneous execution of control-demanding behaviors,.

A Vision Toward Energy-Efficient Domain-Specific Artificial Intelligence Models and Agents Multitasking versus multiplexing: Toward a normative account of lim- itations in the simultaneous execution of control-demanding behaviors,

Reference 86

Resolution: unresolved; no resolver link, observed 2026-08-04T08:12:17.624936Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 16f7f958-1562-4acc-8385-10b597b436bd · outbound

This paper cites A graph-theoretic approach to multitasking,.

A Vision Toward Energy-Efficient Domain-Specific Artificial Intelligence Models and Agents A graph-theoretic approach to multitasking,

Reference 87

Resolution: unresolved; no resolver link, observed 2026-08-04T08:12:17.720957Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a9507e3d-fdeb-46b6-bb4f-942aadc020d5 · outbound

This paper cites Efficiency of learning vs. processing: Towards a normative theory of multitasking,.

A Vision Toward Energy-Efficient Domain-Specific Artificial Intelligence Models and Agents Efficiency of learning vs. processing: Towards a normative theory of multitasking,

Reference 88

Resolution: unresolved; no resolver link, observed 2026-08-04T08:12:17.830609Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 35171d4d-eec3-4a86-98c2-506e5a16401d · outbound

This paper cites Rationalizing constraints on the capacity for cognitive control,.

A Vision Toward Energy-Efficient Domain-Specific Artificial Intelligence Models and Agents Rationalizing constraints on the capacity for cognitive control,

Reference 89

Resolution: unresolved; no resolver link, observed 2026-08-04T08:12:17.921619Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8848ff49-5bce-4746-bc10-371d4d9fd4b7 · outbound

This paper cites Topological limits to the parallel processing capability of network architectures,.

A Vision Toward Energy-Efficient Domain-Specific Artificial Intelligence Models and Agents Topological limits to the parallel processing capability of network architectures,

Reference 90

Resolution: unresolved; no resolver link, observed 2026-08-04T08:12:18.016416Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ed9abfbc-e50e-4dc3-99f9-edd71a2e8afb · outbound

This paper cites A neuro-vector-symbolic architecture for solving Raven’s progressive matrices,.

A Vision Toward Energy-Efficient Domain-Specific Artificial Intelligence Models and Agents A neuro-vector-symbolic architecture for solving Raven’s progressive matrices,

Reference 91

Resolution: unresolved; no resolver link, observed 2026-08-04T08:12:18.079168Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 34e0d8df-a6d5-44e3-a4fe-bd64596a2427 · outbound

This paper cites MIMONonets: Multiple-input-multiple-output neural networks exploiting computation in superposition,.

A Vision Toward Energy-Efficient Domain-Specific Artificial Intelligence Models and Agents MIMONonets: Multiple-input-multiple-output neural networks exploiting computation in superposition,

Reference 92

Resolution: unresolved; no resolver link, observed 2026-08-04T08:12:18.195626Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 81020540-1b95-4a42-acb1-d24ff67cd64f · outbound

This paper cites RESOLVE: Relational Reasoning with Symbolic and Object-Level Features Using Vector Symbolic Processing.

A Vision Toward Energy-Efficient Domain-Specific Artificial Intelligence Models and Agents RESOLVE: Relational Reasoning with Symbolic and Object-Level Features Using Vector Symbolic Processing

Reference 93

Resolution: unresolved; no resolver link, observed 2026-08-04T08:12:18.277158Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8977ef2e-2e69-49bd-a9ee-1abaca71510c · outbound

This paper cites Abstractors and relational cross-attention: An inductive bias for explicit relational reasoning in Transformers.

A Vision Toward Energy-Efficient Domain-Specific Artificial Intelligence Models and Agents Abstractors and relational cross-attention: An inductive bias for explicit relational reasoning in Transformers

Reference 94

Resolution: unresolved; no resolver link, observed 2026-08-04T08:12:18.343922Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 270772a3-5744-4809-8e29-8c5d96e3af94 · outbound

This paper cites The relational bottleneck as an inductive bias for efficient abstraction,.

A Vision Toward Energy-Efficient Domain-Specific Artificial Intelligence Models and Agents The relational bottleneck as an inductive bias for efficient abstraction,

Reference 95

Resolution: unresolved; no resolver link, observed 2026-08-04T08:12:18.412935Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b9be457f-c786-4ddc-87b2-32b4bc09eb71 · outbound

This paper cites Learning transferable visual models from natural language supervision,.

A Vision Toward Energy-Efficient Domain-Specific Artificial Intelligence Models and Agents Learning transferable visual models from natural language supervision,

Reference 96

Resolution: unresolved; no resolver link, observed 2026-08-04T08:12:18.510107Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 86b1e24b-997f-4f0e-883b-6c93ae373284 · outbound

This paper cites Clip4videocap: Re- thinking clip for video captioning with multiscale temporal fusion and commonsense knowledge,.

A Vision Toward Energy-Efficient Domain-Specific Artificial Intelligence Models and Agents Clip4videocap: Re- thinking clip for video captioning with multiscale temporal fusion and commonsense knowledge,

Reference 97

Resolution: unresolved; no resolver link, observed 2026-08-04T08:12:18.587043Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a3770e68-88cd-48d6-a95a-37bf2dbbbd1e · outbound

This paper cites Ave-clip: Audioclip-based multi- window temporal transformer for audio visual event localization,.

A Vision Toward Energy-Efficient Domain-Specific Artificial Intelligence Models and Agents Ave-clip: Audioclip-based multi- window temporal transformer for audio visual event localization,

Reference 98

Resolution: unresolved; no resolver link, observed 2026-08-04T08:12:18.667139Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5f5c040e-3559-4ecf-b41c-6a0c5b488e32 · outbound

This paper cites AudioCLIP: Extend- ing CLIP to image, text and audio,.

A Vision Toward Energy-Efficient Domain-Specific Artificial Intelligence Models and Agents AudioCLIP: Extend- ing CLIP to image, text and audio,

Reference 99

Resolution: unresolved; no resolver link, observed 2026-08-04T08:12:18.783751Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f74e17ea-8f4c-4f1b-9f29-85797f2f9fc8 · outbound

This paper cites MA-A VT: Modality alignment for parameter-efficient audio-visual transformers,.

A Vision Toward Energy-Efficient Domain-Specific Artificial Intelligence Models and Agents MA-A VT: Modality alignment for parameter-efficient audio-visual transformers,

Reference 100

Resolution: unresolved; no resolver link, observed 2026-08-04T08:12:18.843777Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Coverage vector

Reference resolution

Outbound references

Pith citing papers